Waste-acceptance criteria and risk-based thinking for radioactive-waste classification

International Nuclear Information System (INIS)

Lowenthal, M.D.

1998-01-01

The US system of radioactive-waste classification and its development provide a reference point for the discussion of risk-based thinking in waste classification. The official US system is described and waste-acceptance criteria for disposal sites are introduced because they constitute a form of de facto waste classification. Risk-based classification is explored and it is found that a truly risk-based system is context-dependent: risk depends not only on the waste-management activity but, for some activities such as disposal, it depends on the specific physical context. Some of the elements of the official US system incorporate risk-based thinking, but like many proposed alternative schemes, the physical context of disposal is ignored. The waste-acceptance criteria for disposal sites do account for this context dependence and could be used as a risk-based classification scheme for disposal. While different classes would be necessary for different management activities, the waste-acceptance criteria would obviate the need for the current system and could better match wastes to disposal environments saving money or improving safety or both

Using QA classification to guide design and manage risk

International Nuclear Information System (INIS)

Lathrop, J.; DeKlever, R.; Petrie, E.H.

1993-01-01

Raytheon Services Nevada has developed a classification process based on probabilistic risk assessment, using accident/impact scenarios for each system classified. Initial classification analyses were performed for the 20 systems of Package IA of the Exploratory Studies Facility (ESF). The analyses demonstrated a solid, defensible methodological basis for classification which minimizes the use of direct engineering judgment. They provide guidance for ESF design and risk management through the identification of: The critical characteristics of each system that need to be controlled; and the parts of the information base that most need to be further developed through performance assessment or other efforts

Classification of the eye changes of Graves' disease

NARCIS (Netherlands)

Wiersinga, W. M.; Prummel, M. F.; Mourits, M. P.; Koornneef, L.; Buller, H. R.

1991-01-01

Classification of the eye changes of Graves' disease may have clinical use in the description of the present eye state, in the assessment of treatment results, and in the choice of therapy. Requirements for any classification system should include simplicity, clinical nature (i.e., easily carried

Classifying PML risk with disease modifying therapies.

Science.gov (United States)

Berger, Joseph R

2017-02-01

To catalogue the risk of PML with the currently available disease modifying therapies (DMTs) for multiple sclerosis (MS). All DMTs perturb the immune system in some fashion. Natalizumab, a highly effective DMT, has been associated with a significant risk of PML. Fingolimod and dimethyl fumarate have also been unquestionably associated with a risk of PML in the MS population. Concerns about PML risk with other DMTs have arisen due to their mechanism of action and pharmacological parallel to other agents with known PML risk. A method of contextualizing PML risk for DMTs is warranted. Classification of PML risk was predicated on three criteria:: 1) whether the underlying condition being treated predisposes to PML in the absence of the drug; 2) the latency from initiation of the drug to the development of PML; and 3) the frequency with which PML is observed. Among the DMTs, natalizumab occupies a place of its own with respect to PML risk. Significantly lesser degrees of risk exist for fingolimod and dimethyl fumarate. Whether PML will be observed with other DMTs in use for MS, such as, rituximab, teriflunomide, and alemtuzumab, remains uncertain. A logical classification for stratifying DMT PML risk is important for both the physician and patient in contextualizing risk/benefit ratios. As additional experience accumulates regarding PML and the DMTs, this early effort will undoubtedly require revisiting. Copyright © 2016 Elsevier B.V. All rights reserved.

The risk of persistent trophoblastic disease after hydatidiform mole classified by morphology and ploidy

DEFF Research Database (Denmark)

Niemann, Isa; Hansen, Estrid S; Sunde, Lone

2007-01-01

classifications, and compared the ability of the two classifications to discriminate between patients with and without a substantial risk of persistent trophoblastic disease. METHODS: 294 cases of consecutively collected hydropic placentas clinically suspected of hydatidiform mole made the basis......OBJECTIVE: Hydatidiform mole can be classified by histopathologic characteristics and by genetic constitutions and most complete moles are diploid, whereas most partial moles are triploid. We investigated the concordance between these two classifications, characterized moles with conflicting......-molar miscarriage, 20 were triploids, 2 were diploid androgenetic and 2 were diploid biparental. In 23% of the conceptuses, the histopathologic and genetic classifications were conflicting. 5% of the patients with hydropic placentas classified as partial mole encountered persistent trophoblastic disease; however...

Sequential segmental classification of feline congenital heart disease.

Science.gov (United States)

Scansen, Brian A; Schneider, Matthias; Bonagura, John D

2015-12-01

Feline congenital heart disease is less commonly encountered in veterinary medicine than acquired feline heart diseases such as cardiomyopathy. Understanding the wide spectrum of congenital cardiovascular disease demands a familiarity with a variety of lesions, occurring both in isolation and in combination, along with an appreciation of complex nomenclature and variable classification schemes. This review begins with an overview of congenital heart disease in the cat, including proposed etiologies and prevalence, examination approaches, and principles of therapy. Specific congenital defects are presented and organized by a sequential segmental classification with respect to their morphologic lesions. Highlights of diagnosis, treatment options, and prognosis are offered. It is hoped that this review will provide a framework for approaching congenital heart disease in the cat, and more broadly in other animal species based on the sequential segmental approach, which represents an adaptation of the common methodology used in children and adults with congenital heart disease. Copyright © 2015 Elsevier B.V. All rights reserved.

EPA`s program for risk assessment guidelines: Cancer classification issues

Energy Technology Data Exchange (ETDEWEB)

Wiltse, J. [Environmental Protection Agency, Washington, DC (United States)

1990-12-31

Issues presented are related to classification of weight of evidence in cancer risk assessments. The focus in this paper is on lines of evidence used in constructing a conclusion about potential human carcinogenicity. The paper also discusses issues that are mistakenly addressed as classification issues but are really part of the risk assessment process. 2 figs.

Physical activity, the Framingham risk score and risk of coronary heart disease in men and women of the EPIC-Norfolk study

NARCIS (Netherlands)

Arsenault, Benoit J.; Rana, Jamal S.; Lemieux, Isabelle; Després, Jean-Pierre; Wareham, Nicholas J.; Kastelein, John J. P.; Boekholdt, S. Matthijs; Khaw, Kay-Tee

2010-01-01

Objective: Test the hypothesis that considering leisure-time and work-related physical activity habits in addition to the Framingham risk score (FRS) would result into better classification of coronary heart disease (CHD) risk than FRS alone. Methods: Prospective, population-based study of 9564 men

3D scattering transforms for disease classification in neuroimaging

Directory of Open Access Journals (Sweden)

Tameem Adel

2017-01-01

Full Text Available Classifying neurodegenerative brain diseases in MRI aims at correctly assigning discrete labels to MRI scans. Such labels usually refer to a diagnostic decision a learner infers based on what it has learned from a training sample of MRI scans. Classification from MRI voxels separately typically does not provide independent evidence towards or against a class; the information relevant for classification is only present in the form of complicated multivariate patterns (or “features”. Deep learning solves this problem by learning a sequence of non-linear transformations that result in feature representations that are better suited to classification. Such learned features have been shown to drastically outperform hand-engineered features in computer vision and audio analysis domains. However, applying the deep learning approach to the task of MRI classification is extremely challenging, because it requires a very large amount of data which is currently not available. We propose to instead use a three dimensional scattering transform, which resembles a deep convolutional neural network but has no learnable parameters. Furthermore, the scattering transform linearizes diffeomorphisms (due to e.g. residual anatomical variability in MRI scans, making the different disease states more easily separable using a linear classifier. In experiments on brain morphometry in Alzheimer's disease, and on white matter microstructural damage in HIV, scattering representations are shown to be highly effective for the task of disease classification. For instance, in semi-supervised learning of progressive versus stable MCI, we reach an accuracy of 82.7%. We also present a visualization method to highlight areas that provide evidence for or against a certain class, both on an individual and group level.

Classification of risks in the process of financial planning

Directory of Open Access Journals (Sweden)

A.V. Overchuk

2017-12-01

Full Text Available The essence of the concept «risk» in the process of financial planning is studied. The classification of risks was conducted. The article provides the full enough and detailed system of classification of risks in the process of financial planning. The author researches and provides the factors, which directly influence upon the size of risks, which accompany the process of financial planning. A complete set of isolated independent features was determined for each risk type. It was found out that a part of features depends only on the risk type and the other part is determined by the character of a risky situation. The article substantiates the presence of indeterminacy typical for dynamic and non-stationary environment and the risks of different nature and strength of influence on the efficiency of financial planning, which cause the necessity to develop and implement the effective system of financial planning at an enterprise.

DIAGNOSTICS OF DISORDERS AND DISEASES OF MUSCULOSKELETAL SYSTEM IN SCHOOLCHILDREN: APPROACHES, TERMINOLOGY, CLASSIFICATION

Directory of Open Access Journals (Sweden)

N.B. Mirskaya

2009-01-01

Full Text Available This article describes an information system for physicians working in general education institutes, which is named «Detection, correction and prophylaxis of musculoskeletal system disorders in students of general education institutes». This system was created for the purpose of improving diagnostics of initial stages of musculoskeletal system in schoolchildren, detecting of risk factors, and for the provision of timely prophylaxis during school education. The system was based on classification of functional disorders and initial stages of diseases of musculoskeletal system in schoolchildren, developed by authors of present article, and methods of medical examination and organization of this work.Key words: schoolchildren, musculoskeletal system, diagnostics, classification, prophylaxis.(Voprosy sovremennoi pediatrii — Current Pediatrics. 2009;8(3:10-13

THEORETICAL QUESTIONS OF INVESTMENT RISK RESEARCH, ITS MAIN FEATURES AND CLASSIFICATION

Directory of Open Access Journals (Sweden)

I. A. Kadyrbaev

2016-01-01

Full Text Available The article examines framework methodology of investment risk. The subject of the study are the basic theoretical positions directly related to the economic category of "investment risk". The purpose of this writing is the improvement of the methodology of the study of investment risk in the investment activity. This objective is to define the tasks, which consist in the formulation of the concept of "investment risk", the development of investment risk classification to provide investors with effective protection against such risks. The implementation  of the tasks will create conditions for the growth of investments in Russia. Currently, effective investment strategy for such an increase, is among the priority directions of development of the Russian economy.The article deals with logically interrelated study of basic economic categories, influencing directly on the investment risk. Author provided classification of investments in accordance with the level of risk. Examine the matter of the financial-economic category of the concept of "investment risk" and the classification of investment risks. Specified main features of the investment risk, which allowed to reveal specifics, which consists in the redistribution of capital in various types of assets in order to maximize profits or to obtain significant social effect.

Toward a Reasoned Classification of Diseases Using Physico-Chemical Based Phenotypes

Directory of Open Access Journals (Sweden)

Laurent Schwartz

2018-02-01

Full Text Available Background: Diseases and health conditions have been classified according to anatomical site, etiological, and clinical criteria. Physico-chemical mechanisms underlying the biology of diseases, such as the flow of energy through cells and tissues, have been often overlooked in classification systems.Objective: We propose a conceptual framework toward the development of an energy-oriented classification of diseases, based on the principles of physical chemistry.Methods: A review of literature on the physical chemistry of biological interactions in a number of diseases is traced from the point of view of the fluid and solid mechanics, electricity, and chemistry.Results: We found consistent evidence in literature of decreased and/or increased physical and chemical forces intertwined with biological processes of numerous diseases, which allowed the identification of mechanical, electric and chemical phenotypes of diseases.Discussion: Biological mechanisms of diseases need to be evaluated and integrated into more comprehensive theories that should account with principles of physics and chemistry. A hypothetical model is proposed relating the natural history of diseases to mechanical stress, electric field, and chemical equilibria (ATP changes. The present perspective toward an innovative disease classification may improve drug-repurposing strategies in the future.

Toward a Reasoned Classification of Diseases Using Physico-Chemical Based Phenotypes

Science.gov (United States)

Schwartz, Laurent; Lafitte, Olivier; da Veiga Moreira, Jorgelindo

2018-01-01

Background: Diseases and health conditions have been classified according to anatomical site, etiological, and clinical criteria. Physico-chemical mechanisms underlying the biology of diseases, such as the flow of energy through cells and tissues, have been often overlooked in classification systems. Objective: We propose a conceptual framework toward the development of an energy-oriented classification of diseases, based on the principles of physical chemistry. Methods: A review of literature on the physical chemistry of biological interactions in a number of diseases is traced from the point of view of the fluid and solid mechanics, electricity, and chemistry. Results: We found consistent evidence in literature of decreased and/or increased physical and chemical forces intertwined with biological processes of numerous diseases, which allowed the identification of mechanical, electric and chemical phenotypes of diseases. Discussion: Biological mechanisms of diseases need to be evaluated and integrated into more comprehensive theories that should account with principles of physics and chemistry. A hypothetical model is proposed relating the natural history of diseases to mechanical stress, electric field, and chemical equilibria (ATP) changes. The present perspective toward an innovative disease classification may improve drug-repurposing strategies in the future. PMID:29541031

A classification scheme for risk assessment methods.

Energy Technology Data Exchange (ETDEWEB)

Stamp, Jason Edwin; Campbell, Philip LaRoche

2004-08-01

This report presents a classification scheme for risk assessment methods. This scheme, like all classification schemes, provides meaning by imposing a structure that identifies relationships. Our scheme is based on two orthogonal aspects--level of detail, and approach. The resulting structure is shown in Table 1 and is explained in the body of the report. Each cell in the Table represent a different arrangement of strengths and weaknesses. Those arrangements shift gradually as one moves through the table, each cell optimal for a particular situation. The intention of this report is to enable informed use of the methods so that a method chosen is optimal for a situation given. This report imposes structure on the set of risk assessment methods in order to reveal their relationships and thus optimize their usage.We present a two-dimensional structure in the form of a matrix, using three abstraction levels for the rows and three approaches for the columns. For each of the nine cells in the matrix we identify the method type by name and example. The matrix helps the user understand: (1) what to expect from a given method, (2) how it relates to other methods, and (3) how best to use it. Each cell in the matrix represent a different arrangement of strengths and weaknesses. Those arrangements shift gradually as one moves through the table, each cell optimal for a particular situation. The intention of this report is to enable informed use of the methods so that a method chosen is optimal for a situation given. The matrix, with type names in the cells, is introduced in Table 2 on page 13 below. Unless otherwise stated we use the word 'method' in this report to refer to a 'risk assessment method', though often times we use the full phrase. The use of the terms 'risk assessment' and 'risk management' are close enough that we do not attempt to distinguish them in this report. The remainder of this report is organized as follows. In

The Impact of Disease and Drugs on Hip Fracture Risk

OpenAIRE

Leavy, Breiffni; Michaëlsson, Karl; Åberg, Anna Cristina; Melhus, Håkan; Byberg, Liisa

2017-01-01

We report the risks of a comprehensive range of disease and drug categories on hip fracture occurrence using a strict population-based cohort design. Participants included the source population of a Swedish county, aged ?50?years (n?=?117,494) including all incident hip fractures during 1?year (n?=?477). The outcome was hospitalization for hip fracture (ICD-10 codes S72.0?S72.2) during 1?year (2009?2010). Exposures included: prevalence of (1) inpatient diseases [International Classification o...

Disease Classification and Biomarker Discovery Using ECG Data

Directory of Open Access Journals (Sweden)

Rong Huang

2015-01-01

Full Text Available In the recent decade, disease classification and biomarker discovery have become increasingly important in modern biological and medical research. ECGs are comparatively low-cost and noninvasive in screening and diagnosing heart diseases. With the development of personal ECG monitors, large amounts of ECGs are recorded and stored; therefore, fast and efficient algorithms are called for to analyze the data and make diagnosis. In this paper, an efficient and easy-to-interpret procedure of cardiac disease classification is developed through novel feature extraction methods and comparison of classifiers. Motivated by the observation that the distributions of various measures on ECGs of the diseased group are often skewed, heavy-tailed, or multimodal, we characterize the distributions by sample quantiles which outperform sample means. Three classifiers are compared in application both to all features and to dimension-reduced features by PCA: stepwise discriminant analysis (SDA, SVM, and LASSO logistic regression. It is found that SDA applied to dimension-reduced features by PCA is the most stable and effective procedure, with sensitivity, specificity, and accuracy being 89.68%, 84.62%, and 88.52%, respectively.

The Impact of Disease and Drugs on Hip Fracture Risk.

Science.gov (United States)

Leavy, Breiffni; Michaëlsson, Karl; Åberg, Anna Cristina; Melhus, Håkan; Byberg, Liisa

2017-01-01

We report the risks of a comprehensive range of disease and drug categories on hip fracture occurrence using a strict population-based cohort design. Participants included the source population of a Swedish county, aged ≥50 years (n = 117,494) including all incident hip fractures during 1 year (n = 477). The outcome was hospitalization for hip fracture (ICD-10 codes S72.0-S72.2) during 1 year (2009-2010). Exposures included: prevalence of (1) inpatient diseases [International Classification of Diseases (ICD) codes A00-T98 in the National Patient Register 1987-2010] and (2) prescribed drugs dispensed in 2010 or the year prior to fracture. We present age- and sex-standardized risk ratios (RRs), risk differences (RDs) and population attributable risks (PARs) of disease and drug categories in relation to hip fracture risk. All disease categories were associated with increased risk of hip fracture. Largest risk ratios and differences were for mental and behavioral disorders, diseases of the blood and previous fracture (RRs between 2.44 and 3.00; RDs (per 1000 person-years) between 5.0 and 6.9). For specific drugs, strongest associations were seen for antiparkinson (RR 2.32 [95 % CI 1.48-1.65]; RD 5.2 [1.1-9.4]) and antidepressive drugs (RR 1.90 [1.55-2.32]; RD 3.1 [2.0-4.3]). Being prescribed ≥10 drugs during 1 year incurred an increased risk of hip fracture, whereas prescription of cardiovascular drugs or ≤5 drugs did not appear to increase risk. Diseases inferring the greatest PARs included: cardiovascular diseases PAR 22 % (95 % CI 14-29) and previous injuries (PAR 21 % [95 % CI 16-25]; for specific drugs, antidepressants posed the greatest risk (PAR 16 % [95 % CI 12.0-19.3]).

A Soft Intelligent Risk Evaluation Model for Credit Scoring Classification

Directory of Open Access Journals (Sweden)

Mehdi Khashei

2015-09-01

Full Text Available Risk management is one of the most important branches of business and finance. Classification models are the most popular and widely used analytical group of data mining approaches that can greatly help financial decision makers and managers to tackle credit risk problems. However, the literature clearly indicates that, despite proposing numerous classification models, credit scoring is often a difficult task. On the other hand, there is no universal credit-scoring model in the literature that can be accurately and explanatorily used in all circumstances. Therefore, the research for improving the efficiency of credit-scoring models has never stopped. In this paper, a hybrid soft intelligent classification model is proposed for credit-scoring problems. In the proposed model, the unique advantages of the soft computing techniques are used in order to modify the performance of the traditional artificial neural networks in credit scoring. Empirical results of Australian credit card data classifications indicate that the proposed hybrid model outperforms its components, and also other classification models presented for credit scoring. Therefore, the proposed model can be considered as an appropriate alternative tool for binary decision making in business and finance, especially in high uncertainty conditions.

Advances in Risk Classification and Treatment Strategies for Neuroblastoma

Science.gov (United States)

Pinto, Navin R.; Applebaum, Mark A.; Volchenboum, Samuel L.; Matthay, Katherine K.; London, Wendy B.; Ambros, Peter F.; Nakagawara, Akira; Berthold, Frank; Schleiermacher, Gudrun; Park, Julie R.; Valteau-Couanet, Dominique; Pearson, Andrew D.J.

2015-01-01

Risk-based treatment approaches for neuroblastoma have been ongoing for decades. However, the criteria used to define risk in various institutional and cooperative groups were disparate, limiting the ability to compare clinical trial results. To mitigate this problem and enhance collaborative research, homogenous pretreatment patient cohorts have been defined by the International Neuroblastoma Risk Group classification system. During the past 30 years, increasingly intensive, multimodality approaches have been developed to treat patients who are classified as high risk, whereas patients with low- or intermediate-risk neuroblastoma have received reduced therapy. This treatment approach has resulted in improved outcome, although survival for high-risk patients remains poor, emphasizing the need for more effective treatments. Increased knowledge regarding the biology and genetic basis of neuroblastoma has led to the discovery of druggable targets and promising, new therapeutic approaches. Collaborative efforts of institutions and international cooperative groups have led to advances in our understanding of neuroblastoma biology, refinements in risk classification, and stratified treatment strategies, resulting in improved outcome. International collaboration will be even more critical when evaluating therapies designed to treat small cohorts of patients with rare actionable mutations. PMID:26304901

Classification and Discrimination of Different Fungal Diseases of Three Infection Levels on Peaches Using Hyperspectral Reflectance Imaging Analysis

Directory of Open Access Journals (Sweden)

Ye Sun

2018-04-01

Full Text Available Peaches are susceptible to infection from several postharvest diseases. In order to control disease and avoid potential health risks, it is important to identify suitable treatments for each disease type. In this study, the spectral and imaging information from hyperspectral reflectance (400~1000 nm was used to evaluate and classify three kinds of common peach disease. To reduce the large dimensionality of the hyperspectral imaging, principal component analysis (PCA was applied to analyse each wavelength image as a whole, and the first principal component was selected to extract the imaging features. A total of 54 parameters were extracted as imaging features for one sample. Three decayed stages (slight, moderate and severe decayed peaches were considered for classification by deep belief network (DBN and partial least squares discriminant analysis (PLSDA in this study. The results showed that the DBN model has better classification results than the classification accuracy of the PLSDA model. The DBN model based on integrated information (494 features showed the highest classification results for the three diseases, with accuracies of 82.5%, 92.5%, and 100% for slightly-decayed, moderately-decayed and severely-decayed samples, respectively. The successive projections algorithm (SPA was used to select the optimal features from the integrated information; then, six optimal features were selected from a total of 494 features to establish the simple model. The SPA-PLSDA model showed better results which were more feasible for industrial application. The results showed that the hyperspectral reflectance imaging technique is feasible for detecting different kinds of diseased peaches, especially at the moderately- and severely-decayed levels.

Classification, disease, and diagnosis.

Science.gov (United States)

Jutel, Annemarie

2011-01-01

Classification shapes medicine and guides its practice. Understanding classification must be part of the quest to better understand the social context and implications of diagnosis. Classifications are part of the human work that provides a foundation for the recognition and study of illness: deciding how the vast expanse of nature can be partitioned into meaningful chunks, stabilizing and structuring what is otherwise disordered. This article explores the aims of classification, their embodiment in medical diagnosis, and the historical traditions of medical classification. It provides a brief overview of the aims and principles of classification and their relevance to contemporary medicine. It also demonstrates how classifications operate as social framing devices that enable and disable communication, assert and refute authority, and are important items for sociological study.

Stratifying the risks of oral anticoagulation in patients with liver disease.

Science.gov (United States)

Efird, Lydia M; Mishkin, Daniel S; Berlowitz, Dan R; Ash, Arlene S; Hylek, Elaine M; Ozonoff, Al; Reisman, Joel I; Zhao, Shibei; Jasuja, Guneet K; Rose, Adam J

2014-05-01

Chronic liver disease presents a relative contraindication to warfarin therapy, but some patients with liver disease nevertheless require long-term anticoagulation. The goal is to identify which patients with liver disease might safely receive warfarin. Among 102 134 patients who received warfarin from the Veterans Affairs from 2007 to 2008, International Classification of Diseases-Ninth Revision codes identified 1763 patients with chronic liver disease. Specific diagnoses and laboratory values (albumin, aspartate aminotransferase, alanine aminotransferase, creatinine, and cholesterol) were examined to identify risk of adverse outcomes, while controlling for available bleeding risk factors. Outcomes included percent time in therapeutic range, a measure of anticoagulation control, and major hemorrhagic events, by International Classification of Diseases-Ninth Revision codes. Patients with liver disease had lower mean time in therapeutic range (53.5%) when compared with patients without (61.7%; P<0.001) and more hemorrhages (hazard ratio, 2.02; P<0.001). Among patients with liver disease, serum albumin and creatinine levels were the strongest predictors of both outcomes. We created a 4-point score system: patients received 1 point each for albumin (2.5-3.49 g/dL) or creatinine (1.01-1.99 mg/dL), and 2 points each for albumin (<2.5 g/dL) or creatinine (≥2 mg/dL). This score predicted both anticoagulation control and hemorrhage. When compared with patients without liver disease, those with a score of zero had modestly lower time in therapeutic range (56.7%) and no increase in hemorrhages (hazard ratio, 1.16; P=0.59), whereas those with the worst score (4) had poor control (29.4%) and high hazard of hemorrhage (hazard ratio, 8.53; P<0.001). Patients with liver disease receiving warfarin have poorer anticoagulation control and more hemorrhages. A simple 4-point scoring system using albumin and creatinine identifies those at risk for poor outcomes. © 2014 American

Automatic classification of MR scans in Alzheimer's disease

OpenAIRE

García, Fernando Pérez; uk, fernando perezgarcia ucl ac

2018-01-01

Presentation of the paper "Automatic classification of MR scans in Alzheimer's disease" by Klöppel et al. for the journal club of the Centre for Doctoral Training in Medical Image Computing at University College London.

Influence of Feature Encoding and Choice of Classifier on Disease Risk Prediction in Genome-Wide Association Studies.

Directory of Open Access Journals (Sweden)

Florian Mittag

Full Text Available Various attempts have been made to predict the individual disease risk based on genotype data from genome-wide association studies (GWAS. However, most studies only investigated one or two classification algorithms and feature encoding schemes. In this study, we applied seven different classification algorithms on GWAS case-control data sets for seven different diseases to create models for disease risk prediction. Further, we used three different encoding schemes for the genotypes of single nucleotide polymorphisms (SNPs and investigated their influence on the predictive performance of these models. Our study suggests that an additive encoding of the SNP data should be the preferred encoding scheme, as it proved to yield the best predictive performances for all algorithms and data sets. Furthermore, our results showed that the differences between most state-of-the-art classification algorithms are not statistically significant. Consequently, we recommend to prefer algorithms with simple models like the linear support vector machine (SVM as they allow for better subsequent interpretation without significant loss of accuracy.

The molecular classification of hereditary endocrine diseases.

Science.gov (United States)

Ye, Lei; Ning, Guang

2015-12-01

Hereditary endocrine diseases are an important group of diseases with great heterogeneity. The current classification for hereditary endocrine disease is mostly based upon anatomy, which is helpful for pathophysiological interpretation, but does not address the pathogenic variability associated with different underlying genetic causes. Identification of an endocrinopathy-associated genetic alteration provides evidence for differential diagnosis, discovery of non-classical disease, and the potential for earlier diagnosis and targeted therapy. Molecular diagnosis should be routinely applied when managing patients with suspicion of hereditary disease. To enhance the accurate diagnosis and treatment of patients with hereditary endocrine diseases, we propose categorization of endocrine diseases into three groups based upon the function of the mutant gene: cell differentiation, hormone synthesis and action, and tumorigenesis. Each category was further grouped according to the specific gene function. We believe that this format would facilitate practice of precision medicine in the field of hereditary endocrine diseases.

Manifold regularized multitask feature learning for multimodality disease classification.

Science.gov (United States)

Jie, Biao; Zhang, Daoqiang; Cheng, Bo; Shen, Dinggang

2015-02-01

Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD) and its prodromal stage, that is, mild cognitive impairment (MCI). Recently, multitask feature selection methods are typically used for joint selection of common features across multiple modalities. However, one disadvantage of existing multimodality based methods is that they ignore the useful data distribution information in each modality, which is essential for subsequent classification. Accordingly, in this paper we propose a manifold regularized multitask feature learning method to preserve both the intrinsic relatedness among multiple modalities of data and the data distribution information in each modality. Specifically, we denote the feature learning on each modality as a single task, and use group-sparsity regularizer to capture the intrinsic relatedness among multiple tasks (i.e., modalities) and jointly select the common features from multiple tasks. Furthermore, we introduce a new manifold-based Laplacian regularizer to preserve the data distribution information from each task. Finally, we use the multikernel support vector machine method to fuse multimodality data for eventual classification. Conversely, we also extend our method to the semisupervised setting, where only partial data are labeled. We evaluate our method using the baseline magnetic resonance imaging (MRI), fluorodeoxyglucose positron emission tomography (FDG-PET), and cerebrospinal fluid (CSF) data of subjects from AD neuroimaging initiative database. The experimental results demonstrate that our proposed method can not only achieve improved classification performance, but also help to discover the disease-related brain regions useful for disease diagnosis. © 2014 Wiley Periodicals, Inc.

Comparing complete and partial classification for identifying customers at risk

NARCIS (Netherlands)

Bloemer, J.M.M.; Brijs, T.; Swinnen, S.P.; Vanhoof, K.

2003-01-01

This paper evaluates complete versus partial classification for the problem of identifying customers at risk. We define customers at risk as customers reporting overall satisfaction, but these customers also possess characteristics that are strongly associated with dissatisfied customers. This

Clinical outcome of Crohn's disease according to the Vienna classification: disease location is a useful predictor of disease course

NARCIS (Netherlands)

Oostenbrug, Liekele E.; van Dullemen, Hendrik M.; te Meerman, Gerard J.; Jansen, Peter L. M.; Kleibeuker, Jan H.

2006-01-01

OBJECTIVES: Crohn's disease (CD) is a complex genetic disease with multiple clinical patterns. Clinical classifications may help to identify subgroups of patients that have a distinct pattern of disease, and they are also a prerequisite for the conduction of genetic and therapeutic studies. The aim

Clinical outcome of Crohn's disease according to the Vienna classification : disease location is a useful predictor of disease course

NARCIS (Netherlands)

Oostenbrug, Liekele E.; van Dullemen, Hendrik M.; te Meerman, Gerard J.; Jansen, Peter L. M.; Kleibeuker, Jan H.

Objectives Crohn's disease (CD) is a complex genetic disease with multiple clinical patterns. Clinical classifications may help to identify subgroups of patients that have a distinct pattern of disease, and they are also a prerequisite for the conduction of genetic and therapeutic studies. The aim

Impact of chromosome alterations, genetic mutations and clonal hematopoiesis of indeterminate potential (CHIP) on the classification and risk stratification of MDS.

Science.gov (United States)

Ganguly, Bani Bandana; Banerjee, Debasis; Agarwal, Mohan B

2018-03-01

The advent of technological development has undoubtedly advanced biological and molecular inputs for better understanding the heterogeneous hematopoietic pre-malignant disorder of the stem cells known as myelodysplastic syndromes (MDS). Chromosomal rearrangements, including del(3q/5q/7q/11q/12p/20q), loss of 5/7/Y, trisomy 8/19, i(17q), etc. frequently detected in MDS with variable frequencies and combinations, are the integral components of the 5-tier risk-stratification and WHO-2016 classification. Observations on mutations in genes involved in RNA-splicing, DNA methylation, chromatin modification, transcription factor, signal transduction/kinases, RAS pathway, cohesin complex, DNA repair and other pathways have given insights in independent effects and biological interaction of co-occurrence on disease-phenotype and treatment outcome. However, recent concepts of clonal hematopoiesis of indeterminate potential (CHIP) and idiopathic cytopenia of undetermined significance (ICUS) have urged a re-definition of mutational events in non-clonal cytopenia and non-MDS healthy elderly but with a higher risk of overt leukemia. Considering gene mutations, chromosomal alterations, CHIP, ICUS and their significance in classification and risk-scoring certainly presents a comprehensive picture of disease-phenotype towards better understanding of MDS-pathogenesis, its evolution to AML and its response to therapeutic agents. The present review summarizes chromosomal and gene mutations, co-existence of mutational complexity, and WHO-2016 classification and risk-stratifications of MDS to facilitate a better understanding of its pathogenesis. Copyright © 2017 Elsevier Inc. All rights reserved.

[Definition, etiology, classification and presentation forms].

Science.gov (United States)

Mas Garriga, Xavier

2014-01-01

Osteoarthritis is defined as a degenerative process affecting the joints as a result of mechanical and biological disorders that destabilize the balance between the synthesis and degradation of joint cartilage, stimulating the growth of subchondral bone; chronic synovitis is also present. Currently, the joint is considered as a functional unit that includes distinct tissues, mainly cartilage, the synovial membrane, and subchondral bone, all of which are involved in the pathogenesis of the disease. Distinct risk factors for the development of osteoarthritis have been described: general, unmodifiable risk factors (age, sex, and genetic makeup), general, modifiable risk factors (obesity and hormonal factors) and local risk factors (prior joint anomalies and joint overload). Notable among the main factors related to disease progression are joint alignment defects and generalized osteoarthritis. Several classifications of osteoarthritis have been proposed but none is particularly important for the primary care management of the disease. These classifications include etiological (primary or idiopathic forms and secondary forms) and topographical (typical and atypical localizations) classifications, the Kellgren and Lawrence classification (radiological repercussions) and that of the American College of Rheumatology for osteoarthritis of the hand, hip and knee. The prevalence of knee osteoarthritis is 10.2% in Spain and shows a marked discrepancy between clinical and radiological findings. Hand osteoarthritis, with a prevalence of symptomatic involvement of around 6.2%, has several forms of presentation (nodal osteoarthritis, generalized osteoarthritis, rhizarthrosis, and erosive osteoarthritis). Symptomatic osteoarthritis of the hip affects between 3.5% and 5.6% of persons older than 50 years and has different radiological patterns depending on femoral head migration. Copyright © 2014 Elsevier España, S.L. All rights reserved.

Risk classification and cream skimming on the deregulated German insurance market

OpenAIRE

Beschorner, Patrick F. E.

2003-01-01

In a two-stage model insurance companies first decide upon risk classification and then compete in prices. I show that the observed heterogeneous behavior of similar firms is compatible with rational behavior. On the deregulated German insurance market individual application of classification schemes induces welfare losses due to cream skimming. Classification costs and pricing above marginal cost can be prevented by common industry-wide loss statistics which already exist to a rudimentary ex...

[Severity classification of chronic obstructive pulmonary disease based on deep learning].

Science.gov (United States)

Ying, Jun; Yang, Ceyuan; Li, Quanzheng; Xue, Wanguo; Li, Tanshi; Cao, Wenzhe

2017-12-01

In this paper, a deep learning method has been raised to build an automatic classification algorithm of severity of chronic obstructive pulmonary disease. Large sample clinical data as input feature were analyzed for their weights in classification. Through feature selection, model training, parameter optimization and model testing, a classification prediction model based on deep belief network was built to predict severity classification criteria raised by the Global Initiative for Chronic Obstructive Lung Disease (GOLD). We get accuracy over 90% in prediction for two different standardized versions of severity criteria raised in 2007 and 2011 respectively. Moreover, we also got the contribution ranking of different input features through analyzing the model coefficient matrix and confirmed that there was a certain degree of agreement between the more contributive input features and the clinical diagnostic knowledge. The validity of the deep belief network model was proved by this result. This study provides an effective solution for the application of deep learning method in automatic diagnostic decision making.

A risk informed safety classification for a Nordic NPP

International Nuclear Information System (INIS)

Jaenkaelae, K.

2002-01-01

The report describes a study to develop a safety classification proposal or classi- fication recommendations based on risks for selected equipment of a nuclear power plant. The application plant in this work is Loviisa NPP unit 1. The safety classification proposals are to be considered as an exercise in this pilot study and do not necessarily represent final proposals in a real situation. Comparisons to original safety classifications and technical specifications were made. The study concludes that it is possible to change safety classes or safety signifi- cances as considered in technical specifications and in in-service-inspections into both directions without endangering the safety or even by improving the safety. (au)

Customized oligonucleotide microarray gene expression-based classification of neuroblastoma patients outperforms current clinical risk stratification.

Science.gov (United States)

Oberthuer, André; Berthold, Frank; Warnat, Patrick; Hero, Barbara; Kahlert, Yvonne; Spitz, Rüdiger; Ernestus, Karen; König, Rainer; Haas, Stefan; Eils, Roland; Schwab, Manfred; Brors, Benedikt; Westermann, Frank; Fischer, Matthias

2006-11-01

To develop a gene expression-based classifier for neuroblastoma patients that reliably predicts courses of the disease. Two hundred fifty-one neuroblastoma specimens were analyzed using a customized oligonucleotide microarray comprising 10,163 probes for transcripts with differential expression in clinical subgroups of the disease. Subsequently, the prediction analysis for microarrays (PAM) was applied to a first set of patients with maximally divergent clinical courses (n = 77). The classification accuracy was estimated by a complete 10-times-repeated 10-fold cross validation, and a 144-gene predictor was constructed from this set. This classifier's predictive power was evaluated in an independent second set (n = 174) by comparing results of the gene expression-based classification with those of risk stratification systems of current trials from Germany, Japan, and the United States. The first set of patients was accurately predicted by PAM (cross-validated accuracy, 99%). Within the second set, the PAM classifier significantly separated cohorts with distinct courses (3-year event-free survival [EFS] 0.86 +/- 0.03 [favorable; n = 115] v 0.52 +/- 0.07 [unfavorable; n = 59] and 3-year overall survival 0.99 +/- 0.01 v 0.84 +/- 0.05; both P model, the PAM predictor classified patients of the second set more accurately than risk stratification of current trials from Germany, Japan, and the United States (P < .001; hazard ratio, 4.756 [95% CI, 2.544 to 8.893]). Integration of gene expression-based class prediction of neuroblastoma patients may improve risk estimation of current neuroblastoma trials.

Heart disease - risk factors

Science.gov (United States)

Heart disease - prevention; CVD - risk factors; Cardiovascular disease - risk factors; Coronary artery disease - risk factors; CAD - risk ... a certain health condition. Some risk factors for heart disease you cannot change, but some you can. ...

Improved classification of Alzheimer's disease data via removal of nuisance variability.

Directory of Open Access Journals (Sweden)

Juha Koikkalainen

Full Text Available Diagnosis of Alzheimer's disease is based on the results of neuropsychological tests and available supporting biomarkers such as the results of imaging studies. The results of the tests and the values of biomarkers are dependent on the nuisance features, such as age and gender. In order to improve diagnostic power, the effects of the nuisance features have to be removed from the data. In this paper, four types of interactions between classification features and nuisance features were identified. Three methods were tested to remove these interactions from the classification data. In stratified analysis, a homogeneous subgroup was generated from a training set. Data correction method utilized linear regression model to remove the effects of nuisance features from data. The third method was a combination of these two methods. The methods were tested using all the baseline data from the Alzheimer's Disease Neuroimaging Initiative database in two classification studies: classifying control subjects from Alzheimer's disease patients and discriminating stable and progressive mild cognitive impairment subjects. The results show that both stratified analysis and data correction are able to statistically significantly improve the classification accuracy of several neuropsychological tests and imaging biomarkers. The improvements were especially large for the classification of stable and progressive mild cognitive impairment subjects, where the best improvements observed were 6% units. The data correction method gave better results for imaging biomarkers, whereas stratified analysis worked well with the neuropsychological tests. In conclusion, the study shows that the excess variability caused by nuisance features should be removed from the data to improve the classification accuracy, and therefore, the reliability of diagnosis making.

[Application of risk grading and classification for occupational hazards in risk management for a shipbuilding project].

Science.gov (United States)

Zeng, Wenfeng; Tan, Qiang; Wu, Shihua; Deng, Yingcong; Liu, Lifen; Wang, Zhi; Liu, Yimin

2015-12-01

To investigate the application of risk grading and classification for occupational hazards in risk management for a shipbuilding project. The risk management for this shipbuilding project was performed by a comprehensive application of MES evaluation, quality assessment of occupational health management, and risk grading and classification for occupational hazards, through the methods of occupational health survey, occupational health testing, and occupational health examinations. The results of MES evaluation showed that the risk of occupational hazards in this project was grade 3, which was considered as significant risk; Q value calculated by quality assessment of occupational health management was 0.52, which was considered to be unqualified; the comprehensive evaluation with these two methods showed that the integrated risk rating for this shipbuilding project was class D, and follow- up and rectification were needed with a focus on the improvement in health management. The application of MES evaluation and quality assessment of occupational health management in risk management for occupational hazards can achieve objective and reasonable conclusions and has good applicability.

Performance of classification criteria for gout in early and established disease

DEFF Research Database (Denmark)

Taylor, William J; Fransen, Jaap; Dalbeth, Nicola

2016-01-01

OBJECTIVES: To compare the sensitivity and specificity of different classification criteria for gout in early and established disease. METHODS: This was a cross-sectional study of consecutive rheumatology clinic patients with joint swelling in which gout was defined by presence or absence...... of monosodium urate crystals as observed by a certified examiner at presentation. Early disease was defined as patient-reported onset of symptoms of 2 years or less. RESULTS: Data from 983 patients were collected and gout was present in 509 (52%). Early disease was present in 144 gout cases and 228 non.......3%/84.4% and 86.4%/63.6%. Criteria not requiring synovial fluid analysis had sensitivity and specificity of less than 80% in early and established disease. CONCLUSIONS: Existing classification criteria for gout have sensitivity of over 80% in early and established disease but currently available criteria that do...

Identification and Classification of Diseases: Fundamental Problems in Medical Ontology and Epistemology

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Lennart Nordenfelt

2013-05-01

Full Text Available During the last three centuries there has been remarkable development in the area of the identification and classification of diseases. The taxonomic systems adopted in the 18th century by, for instance, Sauvages and Linnaeus bare no resemblance to the modern nomenclatures for pathological phenomena. The aim of this paper is to give a brief historical presentation, but also a critical analysis, of a number of crucial ideas and theories behind the construction of certain major disease classifications. My focus in the second half of the paper is on the most influential modern systems of classification, the International Statistical Classification of Diseases and Related Health Problems (ICD and the International Systematized Nomenclature of Human and Veterinary Medicine (SNOMED. The former is the official classification adopted by the World Health Organization and is used mainly for clinical and administrative purposes. The latter is a highly complex system of classification which has recently been developed for a variety of purposes (including medical research and is meant to be read and handled by computers. ICD, although widely used all over the world, has salient and well-known logical deficiencies. SNOMED has been introduced partly to remedy these deficiencies. I conclude, however, that SNOMED, in spite of its sophisticated resources, cannot completely replace ICD. For many clinical and administrative purposes there is need of a relatively simple system that can be handled by the ordinary doctor and the ordinary health-care administrator.

ABC Classification of Risk Factors in Production Supply Chains with Uncertain Data

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Aleksandar Vujović

2017-01-01

Full Text Available The problem of classification of risk factors in an uncertain environment is part of the risk management problem, which has a critical effect on the competitive advantage of production supply chain. The severities of consequences, their relative importance, and the frequency of occurrence of risk factors are defined by risk management team, depending on their experience and the results of good practice. Fuzzy rating of the severities of consequences and the frequency of occurrence of risk factors are described by linguistic expressions, which are modeled by triangular fuzzy numbers. The risk values, obtained by the materialization of the identified risk factors, are given precisely with the usage of fuzzy algebra rules. The classification criterion is defined as the distance between current risk value and extreme risk values. The proposed model enables determination of the priorities of risk factors. It is illustrated by an example with real-life data from a production supply chain in auto industry.

Definition and classification of chronic kidney disease : A position statement from Kidney Disease: Improving Global Outcomes (KDIGO)

NARCIS (Netherlands)

Levey, Andrew S.; Eckardt, Kai Uwe; Tsukamoto, Yusuke; Levin, Adeera; Coresh, Josef; Rossert, Jerome; de Zeeuw, Dick; Hostetter, Thomas H.; Lameire, Norbert; Eknoyan, Garabed

Chronic kidney disease (CKD) is a worldwide public health problem, with adverse outcomes of kidney failure, cardiovascular disease (CVD), and premature death. A simple definition and classification of kidney disease is necessary for international development and implementation of clinical practice

[New International Classification of Chronic Pancreatitis (M-ANNHEIM multifactor classification system, 2007): principles, merits, and demerits].

Science.gov (United States)

Tsimmerman, Ia S

2008-01-01

The new International Classification of Chronic Pancreatitis (designated as M-ANNHEIM) proposed by a group of German specialists in late 2007 is reviewed. All its sections are subjected to analysis (risk group categories, clinical stages and phases, variants of clinical course, diagnostic criteria for "established" and "suspected" pancreatitis, instrumental methods and functional tests used in the diagnosis, evaluation of the severity of the disease using a scoring system, stages of elimination of pain syndrome). The new classification is compared with the earlier classification proposed by the author. Its merits and demerits are discussed.

A novel risk classification system for 30-day mortality in children undergoing surgery

Science.gov (United States)

Walter, Arianne I.; Jones, Tamekia L.; Huang, Eunice Y.; Davis, Robert L.

2018-01-01

A simple, objective and accurate way of grouping children undergoing surgery into clinically relevant risk groups is needed. The purpose of this study, is to develop and validate a preoperative risk classification system for postsurgical 30-day mortality for children undergoing a wide variety of operations. The National Surgical Quality Improvement Project-Pediatric participant use file data for calendar years 2012–2014 was analyzed to determine preoperative variables most associated with death within 30 days of operation (D30). Risk groups were created using classification tree analysis based on these preoperative variables. The resulting risk groups were validated using 2015 data, and applied to neonates and higher risk CPT codes to determine validity in high-risk subpopulations. A five-level risk classification was found to be most accurate. The preoperative need for ventilation, oxygen support, inotropic support, sepsis, the need for emergent surgery and a do not resuscitate order defined non-overlapping groups with observed rates of D30 that vary from 0.075% (Very Low Risk) to 38.6% (Very High Risk). When CPT codes where death was never observed are eliminated or when the system is applied to neonates, the groupings remained predictive of death in an ordinal manner. PMID:29351327

Development of a classification scheme for disease-related enzyme information

Directory of Open Access Journals (Sweden)

Söhngen Carola

2011-08-01

Full Text Available Abstract Background BRENDA (BRaunschweig ENzyme DAtabase, http://www.brenda-enzymes.org is a major resource for enzyme related information. First and foremost, it provides data which are manually curated from the primary literature. DRENDA (Disease RElated ENzyme information DAtabase complements BRENDA with a focus on the automatic search and categorization of enzyme and disease related information from title and abstracts of primary publications. In a two-step procedure DRENDA makes use of text mining and machine learning methods. Results Currently enzyme and disease related references are biannually updated as part of the standard BRENDA update. 910,897 relations of EC-numbers and diseases were extracted from titles or abstracts and are included in the second release in 2010. The enzyme and disease entity recognition has been successfully enhanced by a further relation classification via machine learning. The classification step has been evaluated by a 5-fold cross validation and achieves an F1 score between 0.802 ± 0.032 and 0.738 ± 0.033 depending on the categories and pre-processing procedures. In the eventual DRENDA content every category reaches a classification specificity of at least 96.7% and a precision that ranges from 86-98% in the highest confidence level, and 64-83% for the smallest confidence level associated with higher recall. Conclusions The DRENDA processing chain analyses PubMed, locates references with disease-related information on enzymes and categorises their focus according to the categories causal interaction, therapeutic application, diagnostic usage and ongoing research. The categorisation gives an impression on the focus of the located references. Thus, the relation categorisation can facilitate orientation within the rapidly growing number of references with impact on diseases and enzymes. The DRENDA information is available as additional information in BRENDA.

Credit Risk Evaluation Using a C-Variable Least Squares Support Vector Classification Model

Science.gov (United States)

Yu, Lean; Wang, Shouyang; Lai, K. K.

Credit risk evaluation is one of the most important issues in financial risk management. In this paper, a C-variable least squares support vector classification (C-VLSSVC) model is proposed for credit risk analysis. The main idea of this model is based on the prior knowledge that different classes may have different importance for modeling and more weights should be given to those classes with more importance. The C-VLSSVC model can be constructed by a simple modification of the regularization parameter in LSSVC, whereby more weights are given to the lease squares classification errors with important classes than the lease squares classification errors with unimportant classes while keeping the regularized terms in its original form. For illustration purpose, a real-world credit dataset is used to test the effectiveness of the C-VLSSVC model.

New proposals for the international classification of diseases-11 revision of pain diagnoses

DEFF Research Database (Denmark)

Rief, Winfried; Kaasa, Stein; Jensen, Rigmor

2012-01-01

The representation of pain diagnoses in current classification systems like International Classification of Diseases (ICD)-10 and Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV does not adequately reflect the state of the art of pain research, and does not sufficiently support...... the clinical management and research programs for pain conditions. Moreover, there is an urgent need to harmonize classification of pain syndromes of special expert groups (eg, International Classification of Headache Disorders) and general classification systems (eg, ICD-11, DSM-V). Therefore, this paper...

Long-term Prostate-specific Antigen Velocity in Improved Classification of Prostate Cancer Risk and Mortality

DEFF Research Database (Denmark)

Ørsted, David Dynnes; Bojesen, Stig E; Kamstrup, Pia R

2013-01-01

BACKGROUND: It remains unclear whether adding long-term prostate-specific antigen velocity (PSAV) to baseline PSA values improves classification of prostate cancer (PCa) risk and mortality in the general population. OBJECTIVE: To determine whether long-term PSAV improves classification of PCa risk...

Risk factors and classification of stillbirth in a Middle Eastern population: a retrospective study.

Science.gov (United States)

Kunjachen Maducolil, Mariam; Abid, Hafsa; Lobo, Rachael Marian; Chughtai, Ambreen Qayyum; Afzal, Arjumand Muhammad; Saleh, Huda Abdullah Hussain; Lindow, Stephen W

2017-12-21

To estimate the incidence of stillbirth, explore the associated maternal and fetal factors and to evaluate the most appropriate classification of stillbirth for a multiethnic population. This is a retrospective population-based study of stillbirth in a large tertiary unit. Data of each stillbirth with a gestational age >/=24 weeks in the year 2015 were collected from electronic medical records and analyzed. The stillbirth rate for our multiethnic population is 7.81 per 1000 births. Maternal medical factors comprised 52.4% in which the rates of hypertensive disorders, diabetes and other medical disorders were 22.5%, 20.8% and 8.3%, respectively. The most common fetal factor was intrauterine growth restriction (IUGR) (22.5%) followed by congenital anomalies (21.6%). All cases were categorized using the Wigglesworth, Aberdeen, Tulip, ReCoDe and International Classification of Diseases-perinatal mortality (ICD-PM) classifications and the rates of unclassified stillbirths were 59.2%, 46.6%, 16.6%, 11.6% and 7.5%, respectively. An autopsy was performed in 9.1% of cases reflecting local religious and cultural sensitivities. This study highlighted the modifiable risk factors among the Middle Eastern population. The most appropriate classification was the ICD-PM. The low rates of autopsy prevented a detailed evaluation of stillbirths, therefore it is suggested that a minimally invasive autopsy [postmortem magnetic resonance imaging (MRI)] may improve the quality of care.

Risk classification priorities in an emergency unit and outcomes of the service provided

Directory of Open Access Journals (Sweden)

Rafael Silva Marconato

2017-12-01

Full Text Available ABSTRACT Objective: to check the association of the proposed priorities of the institutional protocol of risk classification with the outcomes and evaluate the profile of the care provided in an emergency unit. Method: observational epidemiological study based on data from the computerized files of a Reference Emergency Unit. Care provided to adults was evaluated regarding risk classification and outcomes (death, hospitalization and hospital discharge based on the information recorded in the emergency bulletin. Results: the mean age of the 97,099 registered patients was 43.4 years; 81.5% cases were spontaneous demand; 41.2% had been classified as green, 15.3% yellow, 3.7% blue, 3% red and 36.and 9% had not received a classification; 90.2% of the patients had been discharged, 9.4% hospitalized and 0.4% had died. Among patients who were discharged, 14.7% had been classified as yellow or red, 13.6% green or blue, and 1.8% as blue or green. Conclusion: the protocol of risk classification showed good sensitivity to predict serious situations that can progress to death or hospitalization.

[Aetiological classification of ischaemic strokes: comparison of the new A-S-C-O classification and the classification by the Spanish Society of Neurology's Cerebrovascular Disease Study Group].

Science.gov (United States)

Sobrino García, P; García Pastor, A; García Arratibel, A; Vicente Peracho, G; Rodriguez Cruz, P M; Pérez Sánchez, J R; Díaz Otero, F; Vázquez Alén, P; Villanueva Osorio, J A; Gil Núñez, A

2013-09-01

The A-S-C-O classification may be better than other methods for classifying ischaemic stroke by aetiology. Our aims are to describe A-S-C-O phenotype distribution (A: atherosclerosis, S: small vessel disease, C: cardiac source, O: other causes; 1: potential cause, 2: causality uncertain, 3: unlikely to be a direct cause although disease is present) and compare them to the Spanish Society of Neurology's Cerebrovascular Disease Study Group (GEECV/SEN) classification. We will also find the degree of concordance between these classification methods and determine whether using the A-S-C-O classification delivers a smaller percentage of strokes of undetermined cause. We analysed those patients with ischaemic stroke admitted to our stroke unit in 2010 with strokes that were classified according to GEECV/SEN and A-S-C-O criteria. The study included 496 patients. The percentages of strokes caused by atherosclerosis and small vessel disease according to GEECV/SEN criteria were higher than the percentages for potential atherosclerotic stroke (A1) (14.1 vs. 11.9%; P=.16) and potential small vessel stroke (S1) (14.3 vs. 3%; Pcause of stroke and other potential causes (O1) were observed. Some degree of atherosclerosis was present in 53.5% of patients (A1, A2, or A3); 65.5% showed markers of small vessel disease (S1, S2, or S3), and 74.9% showed signs of cardioembolism (C1, C2, or C3). Fewer patients in the group without scores of 1 or 2 for any of the A-S-C-O phenotypes were identified as having a stroke of undetermined cause (46.6 vs. 29.2%; P0.8 (unusual causes and O1). Our results show that GEECV/SEN and A-S-C-O classifications are neither fully comparable nor consistent. Using the A-S-C-O classification provided additional information on co-morbidities and delivered a smaller percentage of strokes classified as having an undetermined cause. Copyright © 2012 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

Predicting disease risks from highly imbalanced data using random forest

Directory of Open Access Journals (Sweden)

Chakraborty Sounak

2011-07-01

Full Text Available Abstract Background We present a method utilizing Healthcare Cost and Utilization Project (HCUP dataset for predicting disease risk of individuals based on their medical diagnosis history. The presented methodology may be incorporated in a variety of applications such as risk management, tailored health communication and decision support systems in healthcare. Methods We employed the National Inpatient Sample (NIS data, which is publicly available through Healthcare Cost and Utilization Project (HCUP, to train random forest classifiers for disease prediction. Since the HCUP data is highly imbalanced, we employed an ensemble learning approach based on repeated random sub-sampling. This technique divides the training data into multiple sub-samples, while ensuring that each sub-sample is fully balanced. We compared the performance of support vector machine (SVM, bagging, boosting and RF to predict the risk of eight chronic diseases. Results We predicted eight disease categories. Overall, the RF ensemble learning method outperformed SVM, bagging and boosting in terms of the area under the receiver operating characteristic (ROC curve (AUC. In addition, RF has the advantage of computing the importance of each variable in the classification process. Conclusions In combining repeated random sub-sampling with RF, we were able to overcome the class imbalance problem and achieve promising results. Using the national HCUP data set, we predicted eight disease categories with an average AUC of 88.79%.

Space-Time Analysis to Identify Areas at Risk of Mortality from Cardiovascular Disease

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Poliany C. O. Rodrigues

2015-01-01

Full Text Available This study aimed at identifying areas that were at risk of mortality due to cardiovascular disease in residents aged 45 years or older of the cities of Cuiabá and Várzea Grande between 2009 and 2011. We conducted an ecological study of mortality rates related to cardiovascular disease. Mortality rates were calculated for each census tract by the Local Empirical Bayes estimator. High- and low-risk clusters were identified by retrospective space-time scans for each year using the Poisson probability model. We defined the year and month as the temporal analysis unit and the census tracts as the spatial analysis units adjusted by age and sex. The Mann-Whitney U test was used to compare the socioeconomic and environmental variables by risk classification. High-risk clusters showed higher income ratios than low-risk clusters, as did temperature range and atmospheric particulate matter. Low-risk clusters showed higher humidity than high-risk clusters. The Eastern region of Várzea Grande and the central region of Cuiabá were identified as areas at risk of mortality due to cardiovascular disease in individuals aged 45 years or older. High mortality risk was associated with socioeconomic and environmental factors. More high-risk clusters were observed at the end of the dry season.

Adding an alcohol-related risk score to an existing categorical risk classification for older adults: sensitivity to group differences.

Science.gov (United States)

Wilson, Sandra R; Fink, Arlene; Verghese, Shinu; Beck, John C; Nguyen, Khue; Lavori, Philip

2007-03-01

To evaluate a new alcohol-related risk score for research use. Using data from a previously reported trial of a screening and education system for older adults (Computerized Alcohol-Related Problems Survey), secondary analyses were conducted comparing the ability of two different measures of risk to detect post-intervention group differences: the original categorical outcome measure and a new, finely grained quantitative risk score based on the same research-based risk factors. Three primary care group practices in southern California. Six hundred sixty-five patients aged 65 and older. A previously calculated, three-level categorical classification of alcohol-related risk and a newly developed quantitative risk score. Mean post-intervention risk scores differed between the three experimental conditions: usual care, patient report, and combined report (Ptrinary risk classification. The additional clinical value of the risk score relative to the categorical measure needs to be determined.

Nosocomial transmission of sporadic Creutzfeldt-Jakob disease: results from a risk-based assessment of surgical interventions

DEFF Research Database (Denmark)

de Pedro-Cuesta, Jesús; Mahillo-Fernández, Ignacio; Rábano, Alberto

2011-01-01

Evidence of surgical transmission of sporadic Creutzfeldt-Jakob disease (sCJD) remains debatable in part due to misclassification of exposure levels. In a registry-based case-control study, the authors applied a risk-based classification of surgical interventions to determine the association...

Women's Heart Disease: Heart Disease Risk Factors

Science.gov (United States)

... this page please turn JavaScript on. Feature: Women's Heart Disease Heart Disease Risk Factors Past Issues / Winter 2014 Table ... or habits may raise your risk for coronary heart disease (CHD). These conditions are known as risk ...

Classification System for Identifying Women at Risk for Altered Partial Breast Irradiation Recommendations After Breast Magnetic Resonance Imaging

International Nuclear Information System (INIS)

Kowalchik, Kristin V.; Vallow, Laura A.; McDonough, Michelle; Thomas, Colleen S.; Heckman, Michael G.; Peterson, Jennifer L.; Adkisson, Cameron D.; Serago, Christopher; McLaughlin, Sarah A.

2013-01-01

Purpose: To study the utility of preoperative breast MRI for partial breast irradiation (PBI) patient selection, using multivariable analysis of significant risk factors to create a classification rule. Methods and Materials: Between 2002 and 2009, 712 women with newly diagnosed breast cancer underwent preoperative bilateral breast MRI at Mayo Clinic Florida. Of this cohort, 566 were retrospectively deemed eligible for PBI according to the National Surgical Adjuvant Breast and Bowel Project Protocol B-39 inclusion criteria using physical examination, mammogram, and/or ultrasound. Magnetic resonance images were then reviewed to determine their impact on patient eligibility. The patient and tumor characteristics were evaluated to determine risk factors for altered PBI eligibility after MRI and to create a classification rule. Results: Of the 566 patients initially eligible for PBI, 141 (25%) were found ineligible because of pathologically proven MRI findings. Magnetic resonance imaging detected additional ipsilateral breast cancer in 118 (21%). Of these, 62 (11%) had more extensive disease than originally noted before MRI, and 64 (11%) had multicentric disease. Contralateral breast cancer was detected in 28 (5%). Four characteristics were found to be significantly associated with PBI ineligibility after MRI on multivariable analysis: premenopausal status (P=.021), detection by palpation (P<.001), first-degree relative with a history of breast cancer (P=.033), and lobular histology (P=.002). Risk factors were assigned a score of 0-2. The risk of altered PBI eligibility from MRI based on number of risk factors was 0:18%; 1:22%; 2:42%; 3:65%. Conclusions: Preoperative bilateral breast MRI altered the PBI recommendations for 25% of women. Women who may undergo PBI should be considered for breast MRI, especially those with lobular histology or with 2 or more of the following risk factors: premenopausal, detection by palpation, and first-degree relative with a history of

Urban and rural risks of Lyme disease in the Scottish Highlands.

Science.gov (United States)

Mavin, S; Hopkins, P C; MacLennan, A; Joss, A W L; Ho-Yen, D O

2009-05-01

This paper investigates the pattern of Lyme disease testing and infection within the Highland region of Scotland. Data from all Highland samples tested during 2004-2006 were analysed according to result and patient's residence in relation to the eight fold Scottish Executive's urban/rural classification, and distance from woodland. In total, 1602 patients were tested for Lyme disease, 0.71% of the Highland population. From these, 104 (6.5%) were seropositive. There were more patients tested, and seropositive patients from rural than urban locations, 1113 vs 489, and 79 vs 25 respectively. There were also significantly more seropositive patients per patients tested from rural locations (chi2, prural areas become more remote. The likelihood of being tested for Lyme disease also increased as the distance between a patient's residence and woodland decreased. The relative risk of being tested elevated by 74% for those patients living within 200 metres of woodland. Those living in the most rural areas of Highland and those living closest to woodland have an increased risk of being tested and having Lyme disease.

Global cardiac risk assessment in the Registry Of Pregnancy And Cardiac disease: results of a registry from the European Society of Cardiology.

Science.gov (United States)

van Hagen, Iris M; Boersma, Eric; Johnson, Mark R; Thorne, Sara A; Parsonage, William A; Escribano Subías, Pilar; Leśniak-Sobelga, Agata; Irtyuga, Olga; Sorour, Khaled A; Taha, Nasser; Maggioni, Aldo P; Hall, Roger; Roos-Hesselink, Jolien W

2016-05-01

To validate the modified World Health Organization (mWHO) risk classification in advanced and emerging countries, and to identify additional risk factors for cardiac events during pregnancy. The ongoing prospective worldwide Registry Of Pregnancy And Cardiac disease (ROPAC) included 2742 pregnant women (mean age ± standard deviation, 29.2 ± 5.5 years) with established cardiac disease: 1827 from advanced countries and 915 from emerging countries. In patients from advanced countries, congenital heart disease was the most prevalent diagnosis (70%) while in emerging countries valvular heart disease was more common (55%). A cardiac event occurred in 566 patients (20.6%) during pregnancy: 234 (12.8%) in advanced countries and 332 (36.3%) in emerging countries. The mWHO classification had a moderate performance to discriminate between women with and without cardiac events (c-statistic 0.711 and 95% confidence interval (CI) 0.686-0.735). However, its performance in advanced countries (0.726) was better than in emerging countries (0.633). The best performance was found in patients with acquired heart disease from developed countries (0.712). Pre-pregnancy signs of heart failure and, in advanced countries, atrial fibrillation and no previous cardiac intervention added prognostic value to the mWHO classification, with a c-statistic of 0.751 (95% CI 0.715-0.786) in advanced countries and of 0.724 (95% CI 0.691-0.758) in emerging countries. The mWHO risk classification is a useful tool for predicting cardiac events during pregnancy in women with established cardiac disease in advanced countries, but seems less effective in emerging countries. Data on pre-pregnancy cardiac condition including signs of heart failure and atrial fibrillation, may help to improve preconception counselling in advanced and emerging countries. © 2016 The Authors. European Journal of Heart Failure © 2016 European Society of Cardiology.

Constructing a classification of hypersensitivity/allergic diseases for ICD-11 by crowdsourcing the allergist community.

Science.gov (United States)

Tanno, L K; Calderon, M A; Goldberg, B J; Gayraud, J; Bircher, A J; Casale, T; Li, J; Sanchez-Borges, M; Rosenwasser, L J; Pawankar, R; Papadopoulos, N G; Demoly, P

2015-06-01

The global allergy community strongly believes that the 11th revision of the International Classification of Diseases (ICD-11) offers a unique opportunity to improve the classification and coding of hypersensitivity/allergic diseases via inclusion of a specific chapter dedicated to this disease area to facilitate epidemiological studies, as well as to evaluate the true size of the allergy epidemic. In this context, an international collaboration has decided to revise the classification of hypersensitivity/allergic diseases and to validate it for ICD-11 by crowdsourcing the allergist community. After careful comparison between ICD-10 and 11 beta phase linearization codes, we identified gaps and trade-offs allowing us to construct a classification proposal, which was sent to the European Academy of Allergy and Clinical Immunology (EAACI) sections, interest groups, executive committee as well as the World Allergy Organization (WAO), and American Academy of Allergy Asthma and Immunology (AAAAI) leaderships. The crowdsourcing process produced comments from 50 of 171 members contacted by e-mail. The classification proposal has also been discussed at face-to-face meetings with experts of EAACI sections and interest groups and presented in a number of business meetings during the 2014 EAACI annual congress in Copenhagen. As a result, a high-level complex structure of classification for hypersensitivity/allergic diseases has been constructed. The model proposed has been presented to the WHO groups in charge of the ICD revision. The international collaboration of allergy experts appreciates bilateral discussion and aims to get endorsement of their proposals for the final ICD-11. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Using methods from the data mining and machine learning literature for disease classification and prediction: A case study examining classification of heart failure sub-types

Science.gov (United States)

Austin, Peter C.; Tu, Jack V.; Ho, Jennifer E.; Levy, Daniel; Lee, Douglas S.

2014-01-01

Objective Physicians classify patients into those with or without a specific disease. Furthermore, there is often interest in classifying patients according to disease etiology or subtype. Classification trees are frequently used to classify patients according to the presence or absence of a disease. However, classification trees can suffer from limited accuracy. In the data-mining and machine learning literature, alternate classification schemes have been developed. These include bootstrap aggregation (bagging), boosting, random forests, and support vector machines. Study design and Setting We compared the performance of these classification methods with those of conventional classification trees to classify patients with heart failure according to the following sub-types: heart failure with preserved ejection fraction (HFPEF) vs. heart failure with reduced ejection fraction (HFREF). We also compared the ability of these methods to predict the probability of the presence of HFPEF with that of conventional logistic regression. Results We found that modern, flexible tree-based methods from the data mining literature offer substantial improvement in prediction and classification of heart failure sub-type compared to conventional classification and regression trees. However, conventional logistic regression had superior performance for predicting the probability of the presence of HFPEF compared to the methods proposed in the data mining literature. Conclusion The use of tree-based methods offers superior performance over conventional classification and regression trees for predicting and classifying heart failure subtypes in a population-based sample of patients from Ontario. However, these methods do not offer substantial improvements over logistic regression for predicting the presence of HFPEF. PMID:23384592

Inflammatory bowel disease and risk of Parkinson's disease in Medicare beneficiaries.

Science.gov (United States)

Camacho-Soto, Alejandra; Gross, Anat; Searles Nielsen, Susan; Dey, Neelendu; Racette, Brad A

2018-05-01

Gastrointestinal (GI) dysfunction precedes the motor symptoms of Parkinson's disease (PD) by several years. PD patients have abnormal aggregation of intestinal α-synuclein, the accumulation of which may be promoted by inflammation. The relationship between intestinal α-synuclein aggregates and central nervous system neuropathology is unknown. Recently, we observed a possible inverse association between inflammatory bowel disease (IBD) and PD as part of a predictive model of PD. Therefore, the objective of this study was to examine the relationship between PD risk and IBD and IBD-associated conditions and treatment. Using a case-control design, we identified 89,790 newly diagnosed PD cases and 118,095 population-based controls >65 years of age using comprehensive Medicare data from 2004-2009 including detailed claims data. We classified IBD using International Classification of Diseases version 9 (ICD-9) diagnosis codes. We used logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to evaluate the association between PD and IBD. Covariates included age, sex, race/ethnicity, smoking, Elixhauser comorbidities, and health care use. PD was inversely associated with IBD overall (OR = 0.85, 95% CI 0.80-0.91) and with both Crohn's disease (OR = 0.83, 95% CI 0.74-0.93) and ulcerative colitis (OR = 0.88, 95% CI 0.82-0.96). Among beneficiaries with ≥2 ICD-9 codes for IBD, there was an inverse dose-response association between number of IBD ICD-9 codes, as a potential proxy for IBD severity, and PD (p-for-trend = 0.006). IBD is associated with a lower risk of developing PD. Copyright © 2018 Elsevier Ltd. All rights reserved.

Stroke, thromboembolism and bleeding in patients with atrial fibrillation according to the EHRA valvular heart disease classification.

Science.gov (United States)

Bisson, Arnaud; Bodin, Alexandre; Clementy, Nicolas; Bernard, Anne; Babuty, Dominique; Lip, Gregory Y H; Fauchier, Laurent

2018-06-01

We compared thromboembolic (TE) and bleeding risks in patients with atrial fibrillation (AF) according to the new 'Evaluated Heartvalves, Rheumatic or Artificial' (EHRA) valve classification. Patients were divided into 3 categories: (i) EHRA type 1 corresponds to the previous 'valvular' AF patients, with either rheumatic mitral valve stenosis or mechanical prosthetic heart valves; (ii) EHRA type 2 includes AF patients with other valvular heart disease (VHD) and valve bioprosthesis or repair; and (iii) 'non-VHD controls' i.e. all AF patients with neither VHD nor post-surgical valve disease. Among 8962 AF patients seen between 2000 and 2010, 357 (4%) were EHRA type 1, 1754 (20%) were EHRA type 2 and 6851 (76%) non-VHD controls. EHRA type 2 patients were older and had a higher CHA 2 DS 2 -VASc and HAS-BLED scores than either type 1 and non-VHD patients. After a mean follow-up of 1264 ± 1160 days, the occurrence of TE events was higher in EHRA type 2 than non-VHD patients (HR (95%CI): 1.30 1.09-1.54), p = 0.003; also, p = 0.31 for type 1 vs 2, p = 0.68 for type 1 vs non-VHD controls). The rate of major BARC bleeding events for AF patients was higher in either EHRA type 1 (HR (95%CI): 3.16(2.11-4.72), p < 0.0001) or type 2 (HR (95%CI): 2.19(1.69-2.84), p < 0.0001) compared to non-VHD controls. The EHRA valve classification of AF patients with VHD appears useful in categorizing these patients, in terms of TE and bleeding risks. This classification can be used in clinical practice for appropriate choices of oral anticoagulation therapy and follow-up. Copyright © 2018 Elsevier B.V. All rights reserved.

Wildlife disease and risk perception.

Science.gov (United States)

Hanisch-Kirkbride, Shauna L; Riley, Shawn J; Gore, Meredith L

2013-10-01

Risk perception has an important influence on wildlife management and is particularly relevant to issues that present health risks, such as those associated with wildlife disease management. Knowledge of risk perceptions is useful to wildlife health professionals in developing communication messages that enhance public understanding of wildlife disease risks and that aim to increase public support for disease management. To promote knowledge of public understanding of disease risks in the context of wildlife disease management, we used a self-administered questionnaire mailed to a stratified random sample (n = 901) across the continental United States to accomplish three objectives: 1) assess zoonotic disease risk perceptions; 2) identify sociodemographic and social psychologic factors underlying these risk perceptions; and 3) examine the relationship between risk perception and agreement with wildlife disease management practices. Diseases we assessed in the surveys were rabies, plague, and West Nile virus. Risk perception, as measured by an index consisting of severity, susceptibility, and dread, was greatest for rabies and West Nile virus disease (x = 2.62 and 2.59, respectively, on a scale of 1 to 4 and least for plague (x = 2.39). The four most important variables associated with disease risk perception were gender, education, prior exposure to the disease, and concern for health effects. We found that stronger risk perception was associated with greater agreement with wildlife disease management. We found particular concern for the vulnerability of wildlife to zoonotic disease and for protection of wildlife health, indicating that stakeholders may be receptive to messages emphasizing the potential harm to wildlife from disease and to messages promoting One Health (i.e., those that emphasize the interdependence of human, domestic animal, wildlife, and ecosystem health).

Effect of e-learning program on risk assessment and pressure ulcer classification - A randomized study.

Science.gov (United States)

Bredesen, Ida Marie; Bjøro, Karen; Gunningberg, Lena; Hofoss, Dag

2016-05-01

Pressure ulcers (PUs) are a problem in health care. Staff competency is paramount to PU prevention. Education is essential to increase skills in pressure ulcer classification and risk assessment. Currently, no pressure ulcer learning programs are available in Norwegian. Develop and test an e-learning program for assessment of pressure ulcer risk and pressure ulcer classification. Forty-four nurses working in acute care hospital wards or nursing homes participated and were assigned randomly into two groups: an e-learning program group (intervention) and a traditional classroom lecture group (control). Data was collected immediately before and after training, and again after three months. The study was conducted at one nursing home and two hospitals between May and December 2012. Accuracy of risk assessment (five patient cases) and pressure ulcer classification (40 photos [normal skin, pressure ulcer categories I-IV] split in two sets) were measured by comparing nurse evaluations in each of the two groups to a pre-established standard based on ratings by experts in pressure ulcer classification and risk assessment. Inter-rater reliability was measured by exact percent agreement and multi-rater Fleiss kappa. A Mann-Whitney U test was used for continuous sum score variables. An e-learning program did not improve Braden subscale scoring. For pressure ulcer classification, however, the intervention group scored significantly higher than the control group on several of the categories in post-test immediately after training. However, after three months there were no significant differences in classification skills between the groups. An e-learning program appears to have a greater effect on the accuracy of pressure ulcer classification than classroom teaching in the short term. For proficiency in Braden scoring, no significant effect of educational methods on learning results was detected. Copyright © 2016 Elsevier Ltd. All rights reserved.

FCMPSO: An Imputation for Missing Data Features in Heart Disease Classification

Science.gov (United States)

Salleh, Mohd Najib Mohd; Ashikin Samat, Nurul

2017-08-01

The application of data mining and machine learning in directing clinical research into possible hidden knowledge is becoming greatly influential in medical areas. Heart Disease is a killer disease around the world, and early prevention through efficient methods can help to reduce the mortality number. Medical data may contain many uncertainties, as they are fuzzy and vague in nature. Nonetheless, imprecise features data such as no values and missing values can affect quality of classification results. Nevertheless, the other complete features are still capable to give information in certain features. Therefore, an imputation approach based on Fuzzy C-Means and Particle Swarm Optimization (FCMPSO) is developed in preprocessing stage to help fill in the missing values. Then, the complete dataset is trained in classification algorithm, Decision Tree. The experiment is trained with Heart Disease dataset and the performance is analysed using accuracy, precision, and ROC values. Results show that the performance of Decision Tree is increased after the application of FCMSPO for imputation.

Risk-based classification system of nanomaterials

International Nuclear Information System (INIS)

Tervonen, Tommi; Linkov, Igor; Figueira, Jose Rui; Steevens, Jeffery; Chappell, Mark; Merad, Myriam

2009-01-01

Various stakeholders are increasingly interested in the potential toxicity and other risks associated with nanomaterials throughout the different stages of a product's life cycle (e.g., development, production, use, disposal). Risk assessment methods and tools developed and applied to chemical and biological materials may not be readily adaptable for nanomaterials because of the current uncertainty in identifying the relevant physico-chemical and biological properties that adequately describe the materials. Such uncertainty is further driven by the substantial variations in the properties of the original material due to variable manufacturing processes employed in nanomaterial production. To guide scientists and engineers in nanomaterial research and application as well as to promote the safe handling and use of these materials, we propose a decision support system for classifying nanomaterials into different risk categories. The classification system is based on a set of performance metrics that measure both the toxicity and physico-chemical characteristics of the original materials, as well as the expected environmental impacts through the product life cycle. Stochastic multicriteria acceptability analysis (SMAA-TRI), a formal decision analysis method, was used as the foundation for this task. This method allowed us to cluster various nanomaterials in different ecological risk categories based on our current knowledge of nanomaterial physico-chemical characteristics, variation in produced material, and best professional judgments. SMAA-TRI uses Monte Carlo simulations to explore all feasible values for weights, criteria measurements, and other model parameters to assess the robustness of nanomaterial grouping for risk management purposes.

Hyper-spectral frequency selection for the classification of vegetation diseases

OpenAIRE

Dijkstra, Klaas; van de Loosdrecht, Jaap; Schomaker, Lambert; Wiering, Marco

2017-01-01

Reducing the use of pesticides by early visual detection of diseases in precision agriculture is important. Because of the color similarity between potato-plant diseases, narrow band hyper-spectral imaging is required. Payload constraints on unmanned aerial vehicles require reduc- tion of spectral bands. Therefore, we present a methodology for per-patch classification combined with hyper-spectral band selection. In controlled experiments performed on a set of individual leaves, we measure the...

Automatic segmentation and disease classification using cardiac cine MR images

NARCIS (Netherlands)

Wolterink, Jelmer M.; Leiner, Tim; Viergever, Max A.; Išgum, Ivana

2018-01-01

Segmentation of the heart in cardiac cine MR is clinically used to quantify cardiac function. We propose a fully automatic method for segmentation and disease classification using cardiac cine MR images. A convolutional neural network (CNN) was designed to simultaneously segment the left ventricle

Automated retinal vessel type classification in color fundus images

Science.gov (United States)

Yu, H.; Barriga, S.; Agurto, C.; Nemeth, S.; Bauman, W.; Soliz, P.

2013-02-01

Automated retinal vessel type classification is an essential first step toward machine-based quantitative measurement of various vessel topological parameters and identifying vessel abnormalities and alternations in cardiovascular disease risk analysis. This paper presents a new and accurate automatic artery and vein classification method developed for arteriolar-to-venular width ratio (AVR) and artery and vein tortuosity measurements in regions of interest (ROI) of 1.5 and 2.5 optic disc diameters from the disc center, respectively. This method includes illumination normalization, automatic optic disc detection and retinal vessel segmentation, feature extraction, and a partial least squares (PLS) classification. Normalized multi-color information, color variation, and multi-scale morphological features are extracted on each vessel segment. We trained the algorithm on a set of 51 color fundus images using manually marked arteries and veins. We tested the proposed method in a previously unseen test data set consisting of 42 images. We obtained an area under the ROC curve (AUC) of 93.7% in the ROI of AVR measurement and 91.5% of AUC in the ROI of tortuosity measurement. The proposed AV classification method has the potential to assist automatic cardiovascular disease early detection and risk analysis.

Development of a disease risk prediction model for downy mildew (Peronospora sparsa) in boysenberry.

Science.gov (United States)

Kim, Kwang Soo; Beresford, Robert M; Walter, Monika

2014-01-01

Downy mildew caused by Peronospora sparsa has resulted in serious production losses in boysenberry (Rubus hybrid), blackberry (Rubus fruticosus), and rose (Rosa sp.) in New Zealand, Mexico, and the United States and the United Kingdom, respectively. Development of a model to predict downy mildew risk would facilitate development and implementation of a disease warning system for efficient fungicide spray application in the crops affected by this disease. Because detailed disease observation data were not available, a two-step approach was applied to develop an empirical risk prediction model for P. sparsa. To identify the weather patterns associated with a high incidence of downy mildew berry infections (dryberry disease) and derive parameters for the empirical model, classification and regression tree (CART) analysis was performed. Then, fuzzy sets were applied to develop a simple model to predict the disease risk based on the parameters derived from the CART analysis. High-risk seasons with a boysenberry downy mildew incidence >10% coincided with months when the number of hours per day with temperature of 15 to 20°C averaged >9.8 over the month and the number of days with rainfall in the month was >38.7%. The Fuzzy Peronospora Sparsa (FPS) model, developed using fuzzy sets, defined relationships among high-risk events, temperature, and rainfall conditions. In a validation study, the FPS model provided correct identification of both seasons with high downy mildew risk for boysenberry, blackberry, and rose and low risk in seasons when no disease was observed. As a result, the FPS model had a significant degree of agreement between predicted and observed risks of downy mildew for those crops (P = 0.002).

Significance, definition, classification and risk factors of chronic kidney disease in South Africa.

Science.gov (United States)

Meyers, A M

2015-03-01

Renal dysfunction or chronic kidney disease (CKD) is found in 10% of the global population and is classified into five stages according to the estimated glomerular filtration rate (eGFR). No matter where a patient lives, estimation of the GFR is mandatory for decision-making and obtained by the simple measurement of a serum creatinine level. The objective of diagnosing CKD lies in its future prevention, early detection and proper treatment, which will prevent or delay functional deterioration. Primary hypertension (PH) occurs in 25% of South Africa (SA)s black population and is the putative cause of stage 5 CKD in 40 - 60% of these patients. Moreover, in this group, stage 5 CKD occurs at a relatively young age (35 - 45 years) compared with other population groups in whom stage 5 CKD resulting from PH usually occurs between 60 and 70 years of age. In the cohort study, PH has been found in 12 - 16% of black school learners (mean age 17 years) compared with 1.8 - 2% of other ethnic groups (mixed race, Asian, white). End-stage renal failure (ESRF) is the fifth most common cause of death in SA, excluding post-traumatic cases. In addition, undiagnosed or poorly controlled PH is a potent risk factor for other cardiovascular disease (CVD), e.g. congestive cardiac failure, myocardial infarction, stroke. Significant protein is also associated with CVD and protein >1 g/d is a significant risk factor for ESRF.

The definition, classification, and prognosis of chronic kidney disease : a KDIGO Controversies Conference report

NARCIS (Netherlands)

Levey, Andrew S.; de Jong, Paul E.; Coresh, Josef; El Nahas, Meguid; Astor, Brad C.; Matsushita, Kunihiro; Gansevoort, Ron T.; Kasiske, Bertram L.; Eckardt, Kai-Uwe

The definition and classification for chronic kidney disease was proposed by the National Kidney Foundation Kidney Disease Outcomes Quality Initiative (NKF-KDOQI) in 2002 and endorsed by the Kidney Disease: Improving Global Outcomes (KDIGO) in 2004. This framework promoted increased attention to

Comparison of two motor subtype classifications in de novo Parkinson's disease.

Science.gov (United States)

Choi, Seong-Min; Kim, Byeong C; Cho, Bang-Hoon; Kang, Kyung Wook; Choi, Kang-Ho; Kim, Joon-Tae; Lee, Seung-Han; Park, Man-Seok; Kim, Myeong-Kyu; Cho, Ki-Hyun

2018-04-18

Clinical subtypes of Parkinson's disease (PD) have been empirically defined based on the prominent motor symptoms. The aim of this study was to compare the prevalence of non-motor symptoms across PD motor subtypes in patients with PD. A total of 192 patients with de novo PD were included. The patients were classified into the tremor-dominant/mixed/akinetic-rigid (TD/mixed/AR) and tremor-dominant/mixed/postural instability and gait disturbance (TD/mixed/PIGD) subtypes, according to previous reports. In the TD/mixed/AR classification, scores for scales related to motor symptoms and activities of daily living (ADL) were significantly different among the groups, and patients with the AR subtype demonstrated more severe scores than patients with the TD subtype. In the TD/mixed/PIGD classification, age, age at symptom onset, scores on motor-related scales, ADL, and non-motor symptoms were significantly different among the groups. Scores including the modified Hoehn and Yahr stages, the motor and ADL subscores of the Unified Parkinson's Disease Rating Scale, the Beck Depression Inventory, and the Non-Motor Symptom Assessment Scale were significantly different after adjustments for age and age at symptom onset, and patients with the PIGD subtype obtained more severe scores than patients with the TD subtype. The TD/mixed/PIGD classification seems to be more suitable for identifying non-motor abnormalities than the TD/mixed/AR classification. Copyright © 2018 Elsevier Ltd. All rights reserved.

Risks for Heart Disease & Stroke

Science.gov (United States)

... Prevent Risks for Heart Disease & Stroke Risks for Heart Disease & Stroke About 1.5 million heart attacks and ... can’t change some of your risks for heart disease and stroke, but you can manage many of ...

Cyclin H expression is increased in GIST with very-high risk of malignancy

International Nuclear Information System (INIS)

Dorn, Julian; Spatz, Hanno; Schmieder, Michael; Barth, Thomas FE; Blatz, Annette; Henne-Bruns, Doris; Knippschild, Uwe; Kramer, Klaus

2010-01-01

Risk estimation of gastrointestinal stromal tumours (GIST) is based on tumour size and mitotic rate according to the National Institutes of Health consensus classification. The indication for adjuvant treatment of patients with high risk GIST after R 0 resection with small molecule inhibitors is still a controversial issue, since these patients represent a highly heterogeneous population. Therefore, additional prognostic indicators are needed. Here, we evaluated the prognostic value of cyclin H expression in GIST. In order to identify prognostic factors of GIST we evaluated a single centre cohort of ninety-five GIST patients. First, GISTs were classified with regard to tumour size, mitotic rate and localisation according to the NIH consensus and to three additional suggested risk classifications. Second, Cyclin H expression was analysed. Of ninety-five patients with GIST (53 female/42 male; median age: 66.78a; range 17-94a) risk classification revealed: 42% high risk, 20% intermediate risk, 23% low risk and 15% very low risk GIST. In patients with high risk GIST, the expression of cyclin H was highly predictive for reduced disease-specific survival (p = 0.038). A combination of cyclin H expression level and high risk classification yielded the strongest prognostic indicator for disease-specific and disease-free survival (p ≤ 0.001). Moreover, in patients with tumour recurrence and/or metastases, cyclin H positivity was significantly associated with reduced disease-specific survival (p = 0.016) regardless of risk-classification. Our data suggest that, in addition to high risk classification, cyclin H expression might be an indicator for 'very-high risk' GIST

Molecular Pathological Classification of Neurodegenerative Diseases: Turning towards Precision Medicine.

Science.gov (United States)

Kovacs, Gabor G

2016-02-02

Neurodegenerative diseases (NDDs) are characterized by selective dysfunction and loss of neurons associated with pathologically altered proteins that deposit in the human brain but also in peripheral organs. These proteins and their biochemical modifications can be potentially targeted for therapy or used as biomarkers. Despite a plethora of modifications demonstrated for different neurodegeneration-related proteins, such as amyloid-β, prion protein, tau, α-synuclein, TAR DNA-binding protein 43 (TDP-43), or fused in sarcoma protein (FUS), molecular classification of NDDs relies on detailed morphological evaluation of protein deposits, their distribution in the brain, and their correlation to clinical symptoms together with specific genetic alterations. A further facet of the neuropathology-based classification is the fact that many protein deposits show a hierarchical involvement of brain regions. This has been shown for Alzheimer and Parkinson disease and some forms of tauopathies and TDP-43 proteinopathies. The present paper aims to summarize current molecular classification of NDDs, focusing on the most relevant biochemical and morphological aspects. Since the combination of proteinopathies is frequent, definition of novel clusters of patients with NDDs needs to be considered in the era of precision medicine. Optimally, neuropathological categorizing of NDDs should be translated into in vivo detectable biomarkers to support better prediction of prognosis and stratification of patients for therapy trials.

Risk-based classification system of nanomaterials

Energy Technology Data Exchange (ETDEWEB)

Tervonen, Tommi, E-mail: t.p.tervonen@rug.n [University of Groningen, Faculty of Economics and Business (Netherlands); Linkov, Igor, E-mail: igor.linkov@usace.army.mi [US Army Research and Development Center (United States); Figueira, Jose Rui, E-mail: figueira@ist.utl.p [Technical University of Lisbon, CEG-IST, Centre for Management Studies, Instituto Superior Tecnico (Portugal); Steevens, Jeffery, E-mail: jeffery.a.steevens@usace.army.mil; Chappell, Mark, E-mail: mark.a.chappell@usace.army.mi [US Army Research and Development Center (United States); Merad, Myriam, E-mail: myriam.merad@ineris.f [INERIS BP 2, Societal Management of Risks Unit/Accidental Risks Division (France)

2009-05-15

Various stakeholders are increasingly interested in the potential toxicity and other risks associated with nanomaterials throughout the different stages of a product's life cycle (e.g., development, production, use, disposal). Risk assessment methods and tools developed and applied to chemical and biological materials may not be readily adaptable for nanomaterials because of the current uncertainty in identifying the relevant physico-chemical and biological properties that adequately describe the materials. Such uncertainty is further driven by the substantial variations in the properties of the original material due to variable manufacturing processes employed in nanomaterial production. To guide scientists and engineers in nanomaterial research and application as well as to promote the safe handling and use of these materials, we propose a decision support system for classifying nanomaterials into different risk categories. The classification system is based on a set of performance metrics that measure both the toxicity and physico-chemical characteristics of the original materials, as well as the expected environmental impacts through the product life cycle. Stochastic multicriteria acceptability analysis (SMAA-TRI), a formal decision analysis method, was used as the foundation for this task. This method allowed us to cluster various nanomaterials in different ecological risk categories based on our current knowledge of nanomaterial physico-chemical characteristics, variation in produced material, and best professional judgments. SMAA-TRI uses Monte Carlo simulations to explore all feasible values for weights, criteria measurements, and other model parameters to assess the robustness of nanomaterial grouping for risk management purposes.

Validation of modified World Health Organization classification for pregnant women with heart disease in a tertiary care center in southern Thailand

Directory of Open Access Journals (Sweden)

Suwanrath C

2018-01-01

Full Text Available Chitkasaem Suwanrath,1 Putthaporn Thongphanang,1 Sutham Pinjaroen,1 Saranyou Suwanugsorn2 1Department of Obstetrics and Gynecology, 2Department of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand Purpose: To validate the modified World Health Organization (WHO classification in pregnant women with congenital and acquired heart diseases. Patients and methods: The database of pregnant women with heart disease, who delivered at Songklanagarind Hospital between January 1995 and December 2016, was retrieved from the Statistical Unit, Department of Obstetrics and Gynecology, along with the Hospital Information System of Songklanagarind Hospital, Faculty of Medicine, Prince of Songkla University. Each patient was retrospectively classified according to the modified WHO classification of maternal cardiovascular risk. Comparison of maternal and fetal outcomes among the modified WHO classes were analyzed using the chi-square test or Fisher’s exact test and one-way ANOVA test. A p-value of <0.05 was considered statistically significant. Results: A total of 331 cases were studied: 157 cases with congenital heart disease and 174 cases with acquired heart disease. There were 48, 173, 32 and 78 cases in the modified WHO class I, II, III and IV, respectively. Congestive heart failure was the most common complication. The overall maternal mortality rate was 3.6%, all of which were in the modified WHO class IV. Maternal cardiovascular events occurred in 24.2% of cases, increasing rates with higher modified WHO class: 4.2%, 15.0%, 25.0% and 56.4% in class I, II, III and IV, respectively (p<0.001. Adverse fetal outcomes including preterm delivery, low birth weight, small for gestational age and neonatal intensive care unit admission were also significantly increased in class III and IV (p<0.05. Conclusion: The modified WHO classification is useful not only for obtaining a cardiovascular risk assessment in pregnant

Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

Directory of Open Access Journals (Sweden)

Srdjan Sladojevic

2016-01-01

Full Text Available The latest generation of convolutional neural networks (CNNs has achieved impressive results in the field of image classification. This paper is concerned with a new approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. Novel way of training and the methodology used facilitate a quick and easy system implementation in practice. The developed model is able to recognize 13 different types of plant diseases out of healthy leaves, with the ability to distinguish plant leaves from their surroundings. According to our knowledge, this method for plant disease recognition has been proposed for the first time. All essential steps required for implementing this disease recognition model are fully described throughout the paper, starting from gathering images in order to create a database, assessed by agricultural experts. Caffe, a deep learning framework developed by Berkley Vision and Learning Centre, was used to perform the deep CNN training. The experimental results on the developed model achieved precision between 91% and 98%, for separate class tests, on average 96.3%.

New classification system-based visual outcome in Eales′ disease

Directory of Open Access Journals (Sweden)

Saxena Sandeep

2007-01-01

Full Text Available Purpose: A retrospective tertiary care center-based study was undertaken to evaluate the visual outcome in Eales′ disease, based on a new classification system, for the first time. Materials and Methods: One hundred and fifty-nine consecutive cases of Eales′ disease were included. All the eyes were staged according to the new classification: Stage 1: periphlebitis of small (1a and large (1b caliber vessels with superficial retinal hemorrhages; Stage 2a: capillary non-perfusion, 2b: neovascularization elsewhere/of the disc; Stage 3a: fibrovascular proliferation, 3b: vitreous hemorrhage; Stage 4a: traction/combined rhegmatogenous retinal detachment and 4b: rubeosis iridis, neovascular glaucoma, complicated cataract and optic atrophy. Visual acuity was graded as: Grade I 20/20 or better; Grade II 20/30 to 20/40; Grade III 20/60 to 20/120 and Grade IV 20/200 or worse. All the cases were managed by medical therapy, photocoagulation and/or vitreoretinal surgery. Visual acuity was converted into decimal scale, denoting 20/20=1 and 20/800=0.01. Paired t-test / Wilcoxon signed-rank tests were used for statistical analysis. Results: Vitreous hemorrhage was the commonest presenting feature (49.32%. Cases with Stages 1 to 3 and 4a and 4b achieved final visual acuity ranging from 20/15 to 20/40; 20/80 to 20/400 and 20/200 to 20/400, respectively. Statistically significant improvement in visual acuities was observed in all the stages of the disease except Stages 1a and 4b. Conclusion: Significant improvement in visual acuities was observed in the majority of stages of Eales′ disease following treatment. This study adds further to the little available evidences of treatment effects in literature and may have effect on patient care and health policy in Eales′ disease.

Is there a relationship between periodontal disease and smoking after adjusting for job classification in Japanese employed males?

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Morita, Ichizo; Sheiham, Aubrey; Nakagaki, Haruo; Yoshii, Saori; Mizuno, Kinichiro; Sabbah, Wael

2011-01-01

The objective of this study is to examine whether the well-known association between periodontal disease and smoking persists after adjusting for job classification. A sample of 16,110 employed Japanese males aged 20-69 years was included in the study. Periodontal examinations were conducted using the Community Periodontal Index. The association between periodontal disease and smoking status was examined using logistic regression adjusting for age, diabetes and job classification. Job classification was based on criteria of the Japanese Ministry of Health, Labour and Welfare. There are nine major job groups: (1) Professional (professionals, specialists), (2) Managers, (3) Office workers (computer operators, clerks, secretaries), (4) Skilled worker (factory workers, construction workers), (5) Salesperson (shop assistants), (6) Service occupations (superintendents, cleaners or car park attendants), (7) Security (guards), (8) Farmers and fishermen, (9) Transport and telecommunication workers (truck drivers). Current and former smokers were more likely to have periodontal disease than non-smokers. Adjusting for job classification attenuated the association between smoking and periodontal disease but did not eliminate the association. The odds ratios for the association between smoking and Community Periodontal Index score 3 or 4 attenuated from 2.25 to 2.04 and from 2.62 to 2.52 for individuals aged 20 to 39 and 40 to 69 years, respectively. The effect of job classification on the association between periodontal disease and smoking was higher among younger participants aged 20 to 39 years. Smoking persisted as an important determinant of periodontal disease after adjusting for job classification in Japanese employed males.

Classification of Airflow Limitation Based on z-Score Underestimates Mortality in Patients with Chronic Obstructive Pulmonary Disease.

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Tejero, Elena; Prats, Eva; Casitas, Raquel; Galera, Raúl; Pardo, Paloma; Gavilán, Adelaida; Martínez-Cerón, Elisabet; Cubillos-Zapata, Carolina; Del Peso, Luis; García-Río, Francisco

2017-08-01

Global Lung Function Initiative recommends reporting lung function measures as z-score, and a classification of airflow limitation (AL) based on this parameter has recently been proposed. To evaluate the prognostic capacity of the AL classifications based on z-score or percentage predicted of FEV 1 in patients with chronic obstructive pulmonary disease (COPD). A cohort of 2,614 patients with COPD recruited outside the hospital setting was examined after a mean (± SD) of 57 ± 13 months of follow-up, totaling 10,322 person-years. All-cause mortality was analyzed, evaluating the predictive capacity of several AL staging systems. Based on Global Initiative for Chronic Obstructive Lung Disease guidelines, 461 patients (17.6%) had mild, 1,452 (55.5%) moderate, 590 (22.6%) severe, and 111 (4.2%) very severe AL. According to z-score classification, 66.3% of patients remained with the same severity, whereas 23.7% worsened and 10.0% improved. Unlike other staging systems, patients with severe AL according to z-score had higher mortality than those with very severe AL (increase of risk by 5.2 and 3.9 times compared with mild AL, respectively). The predictive capacity for 5-year survival was slightly higher for FEV 1 expressed as percentage of predicted than as z-score (area under the curve: 0.714-0.760 vs. 0.649-0.708, respectively). A severity-dependent relationship between AL grades by z-score and mortality was only detected in patients younger than age 60 years. In patients with COPD, the AL classification based on z-score predicts worse mortality than those based on percentage of predicted. It is possible that the z-score underestimates AL severity in patients older than 60 years of age with severe functional impairment.

Classification for longevity potential: the use of novel biomarkers

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Marian Beekman

2016-10-01

Full Text Available Background: In older people chronological age may not be the best predictor of residual lifespan and mortality, because with age the heterogeneity in health is increasing. Biomarkers for biological age and residual lifespan are being developed to predict disease and mortality better at an individual level than chronological age. In the current paper we aim to classify a group of older people into those with longevity potential or controls.Methods: In the Leiden Longevity Study participated 1671 offspring of nonagenarian siblings, as the group with longevity potential, and 744 similarly aged controls. Using known risk factors for cardiovascular disease, previously reported markers for human longevity and other physiological measures as predictors, classification models for longevity potential were constructed with multiple logistic regression of the offspring-control status.Results: The Framingham Risk Score is predictive for longevity potential (AUC = 64.7. Physiological parameters involved in immune responses and glucose, lipid and energy metabolism further improve the prediction performance for longevity potential (AUCmale = 71.4, AUCfemale = 68.7.Conclusion: Using the Framingham Risk Score, the classification of older people in groups with longevity potential and controls is moderate, but can be improved to a reasonably good classification in combination with markers of immune response, glucose, lipid and energy metabolism. We show that individual classification of older people for longevity potential may be feasible using biomarkers from a wide variety of different biological processes.

RESEARCH ON RISK CLASSIFICATION METHOD OF ASSEMBLY OCCUPANCIES

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Hao Yu

2017-10-01

Full Text Available Due to the densely population and mobility characteristics of the crowd, generally accidents happened in assembly occupancies will trigger a chain reaction, and then bring heavy casualties and property loss, and result disastrous consequences. In the context of safety regulation resources limited, building risk classification system of assembly occupancies is important for "scientific predicting, and hierarchical controlling” In this paper, a software with a graphical user interface is designed using MATLAB GUI to analyze and calculate risks of stampede accident caused by gathered crowds in the video. A velocity extraction method based on cross-correlation algorithm is adopted, and the risk characteristic parameters such as velocity variance is also applied. In this way, real-time analysis and early-warning for risks of stampede accident in time and space can be achieved. Also, the algorithm is applied to the surveillance video of the stampede in Shanghai and its feasibility is proved. Empirical research shows that, the assembly occupancies risk rating model built in this paper has good effectiveness, simplicity and practicability, applies to the government safety regulation and organization safety management, and can improve the safety situation of assembly occupancies effectively.

Landscape Risk Factors for Lyme Disease in the Eastern Broadleaf Forest Province of the Hudson River Valley and the Effect of Explanatory Data Classification Resolution

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This study assessed how landcover classification affects associations between landscape characteristics and Lyme disease rate. Landscape variables were derived from the National Land Cover Database (NLCD), including native classes (e.g., deciduous forest, developed low intensity)...

Laparoscopic colostomy for acute left colon obstruction caused by diverticular disease in high risk patient: A case report.

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Palladino, Elisa; Cappiello, Antonio; Guarino, Vincenzo; Perrotta, Nicola; Loffredo, Domenico

2015-01-01

The colostomy is often necessary in complicated divertcular disease. The laparoscopic colostomy is not widely used for the treatment of complicated diverticular disease. Its use in patients with high operative risk is still on debate. The aim of this case report was to present the benefits of laparoscopic colostomy in patients with high peri-and postoperative risk factors. We present a case of 76-year-old female admitted to emergency unit for left colonic obstruction. The patient had a past history of liver cirrhosis HCV-related with a severe malnutrition, hypertrophic cardiomyopathy, diverticular disease, hiatal ernia, previous appendectomy. Patient was classified according to their preoperative risk ASA 3 (classification of the American society of Anestesia-ASA score). Contrast-enhanced abdominal CT revealed a marked thickening in the sigmoid colon and a marked circumferential stenosis in the sigmoid colon in absence of neoplasm, and/or abscess. The laparoscopic procedure is proposed as first intention. The operation time was 50min, and the hospital stay was 4 days. Post operative complications grade I according to the Clavien Dindo Classification. Laparoscopic colostomy is safe and feasible procedure in experienced hands. It is associated with low morbidity and short stay in hospital and should be considered a good alternative to a laparotomy. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Juvenile idiopathic arthritis in adulthood: fulfilment of classification criteria for adult rheumatic diseases, long-term outcomes and predictors of inactive disease, functional status and damage.

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Oliveira-Ramos, Filipa; Eusébio, Mónica; M Martins, Fernando; Mourão, Ana Filipa; Furtado, Carolina; Campanilho-Marques, Raquel; Cordeiro, Inês; Ferreira, Joana; Cerqueira, Marcos; Figueira, Ricardo; Brito, Iva; Canhão, Helena; Santos, Maria José; Melo-Gomes, José A; Fonseca, João Eurico

2016-01-01

To determine how adult juvenile idiopathic arthritis (JIA) patients fulfil classification criteria for adult rheumatic diseases, evaluate their outcomes and determine clinical predictors of inactive disease, functional status and damage. Patients with JIA registered on the Rheumatic Diseases Portuguese Register (Reuma.pt) older than 18 years and with more than 5 years of disease duration were included. Data regarding sociodemographic features, fulfilment of adult classification criteria, Health Assessment Questionnaire, Juvenile Arthritis Damage Index-articular (JADI-A) and Juvenile Arthritis Damage Index-extra-articular (JADI-E) damage index and disease activity were analysed. 426 patients were included. Most of patients with systemic JIA fulfilled criteria for Adult Still's disease. 95.6% of the patients with rheumatoid factor (RF)-positive polyarthritis and 57.1% of the patients with RF-negative polyarthritis matched criteria for rheumatoid arthritis (RA). 38.9% of the patients with extended oligoarthritis were classified as RA while 34.8% of the patients with persistent oligoarthritis were classified as spondyloarthritis. Patients with enthesitis-related arthritis fulfilled criteria for spondyloarthritis in 94.7%. Patients with psoriatic arthritis maintained this classification. Patients with inactive disease had lower disease duration, lower diagnosis delay and corticosteroids exposure. Longer disease duration was associated with higher HAQ, JADI-A and JADI-E. Higher JADI-A was also associated with biological treatment and retirement due to JIA disability and higher JADI-E with corticosteroids exposure. Younger age at disease onset was predictive of higher HAQ, JADI-A and JADI-E and decreased the chance of inactive disease. Most of the included patients fulfilled classification criteria for adult rheumatic diseases, maintain active disease and have functional impairment. Younger age at disease onset was predictive of higher disability and decreased the

A hazard and risk classification system for catastrophic rock slope failures in Norway

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Hermanns, R.; Oppikofer, T.; Anda, E.; Blikra, L. H.; Böhme, M.; Bunkholt, H.; Dahle, H.; Devoli, G.; Eikenæs, O.; Fischer, L.; Harbitz, C. B.; Jaboyedoff, M.; Loew, S.; Yugsi Molina, F. X.

2012-04-01

The Geological Survey of Norway carries out systematic geologic mapping of potentially unstable rock slopes in Norway that can cause a catastrophic failure. As catastrophic failure we describe failures that involve substantial fragmentation of the rock mass during run-out and that impact an area larger than that of a rock fall (shadow angle of ca. 28-32° for rock falls). This includes therefore rock slope failures that lead to secondary effects, such as a displacement wave when impacting a water body or damming of a narrow valley. Our systematic mapping revealed more than 280 rock slopes with significant postglacial deformation, which might represent localities of large future rock slope failures. This large number necessitates prioritization of follow-up activities, such as more detailed investigations, periodic monitoring and permanent monitoring and early-warning. In the past hazard and risk were assessed qualitatively for some sites, however, in order to compare sites so that political and financial decisions can be taken, it was necessary to develop a quantitative hazard and risk classification system. A preliminary classification system was presented and discussed with an expert group of Norwegian and international experts and afterwards adapted following their recommendations. This contribution presents the concept of this final hazard and risk classification that should be used in Norway in the upcoming years. Historical experience and possible future rockslide scenarios in Norway indicate that hazard assessment of large rock slope failures must be scenario-based, because intensity of deformation and present displacement rates, as well as the geological structures activated by the sliding rock mass can vary significantly on a given slope. In addition, for each scenario the run-out of the rock mass has to be evaluated. This includes the secondary effects such as generation of displacement waves or landslide damming of valleys with the potential of later

Intelligent Decision Support System for Bank Loans Risk Classification

Institute of Scientific and Technical Information of China (English)

杨保安; 马云飞; 俞莲

2001-01-01

Intelligent Decision Support System (IISS) for Bank Loans Risk Classification (BLRC), based on the way of integration Artificial Neural Network (ANN) and Expert System (ES), is proposed. According to the feature of BLRC, the key financial and non-financial factors are analyzed. Meanwhile, ES and Model Base (MB) which contain ANN are designed . The general framework,interaction and integration of the system are given. In addition, how the system realizes BLRC is elucidated in detail.

Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories

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Singh, Shibani; Srivastava, Anant; Mi, Liang; Caselli, Richard J.; Chen, Kewei; Goradia, Dhruman; Reiman, Eric M.; Wang, Yalin

2017-11-01

Fluorodeoxyglucose (FDG) positron emission tomography (PET) measures the decline in the regional cerebral metabolic rate for glucose, offering a reliable metabolic biomarker even on presymptomatic Alzheimer's disease (AD) patients. PET scans provide functional information that is unique and unavailable using other types of imaging. However, the computational efficacy of FDG-PET data alone, for the classification of various Alzheimers Diagnostic categories, has not been well studied. This motivates us to correctly discriminate various AD Diagnostic categories using FDG-PET data. Deep learning has improved state-of-the-art classification accuracies in the areas of speech, signal, image, video, text mining and recognition. We propose novel methods that involve probabilistic principal component analysis on max-pooled data and mean-pooled data for dimensionality reduction, and multilayer feed forward neural network which performs binary classification. Our experimental dataset consists of baseline data of subjects including 186 cognitively unimpaired (CU) subjects, 336 mild cognitive impairment (MCI) subjects with 158 Late MCI and 178 Early MCI, and 146 AD patients from Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. We measured F1-measure, precision, recall, negative and positive predictive values with a 10-fold cross validation scheme. Our results indicate that our designed classifiers achieve competitive results while max pooling achieves better classification performance compared to mean-pooled features. Our deep model based research may advance FDG-PET analysis by demonstrating their potential as an effective imaging biomarker of AD.

Risk of seizures and status epilepticus in older patients with liver disease.

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Alkhachroum, Ayham M; Rubinos, Clio; Kummer, Benjamin R; Parikh, Neal S; Chen, Monica; Chatterjee, Abhinaba; Reynolds, Alexandra; Merkler, Alexander E; Claassen, Jan; Kamel, Hooman

2018-06-06

Seizures can be provoked by systemic diseases associated with metabolic derangements, but the association between liver disease and seizures remains unclear. We performed a retrospective cohort study using inpatient and outpatient claims between 2008 and 2015 from a nationally representative 5% sample of Medicare beneficiaries. The primary exposure variable was cirrhosis, and the secondary exposure was mild, noncirrhotic liver disease. The primary outcome was seizure, and the secondary outcome was status epilepticus. Diagnoses were ascertained using validated International Classification of Diseases, Ninth Edition, Clinical Modification codes. Survival statistics were used to calculate incidence rates, and Cox proportional hazards models were used to examine the association between exposures and outcomes while adjusting for seizure risk factors. Among 1 782 402 beneficiaries, we identified 10 393 (0.6%) beneficiaries with cirrhosis and 19 557 (1.1%) with mild, noncirrhotic liver disease. Individuals with liver disease were older and had more seizure risk factors than those without liver disease. Over 4.6 ± 2.2 years of follow-up, 49 843 (2.8%) individuals were diagnosed with seizures and 25 patients (0.001%) were diagnosed with status epilepticus. Cirrhosis was not associated with seizures (hazard ratio [HR] = 1.1, 95% confidence interval [CI] = 1.0-1.3), but there was an association with status epilepticus (HR = 1.9, 95% CI = 1.3-2.8). Mild liver disease was not associated with a higher risk of seizures (HR = 0.8, 95% CI = 0.6-0.9) or status epilepticus (HR = 1.1, 95% CI = 0.7-1.5). In a large, population-based cohort, we found an association between cirrhosis and status epilepticus, but no overall association between liver disease and seizures. Wiley Periodicals, Inc. © 2018 International League Against Epilepsy.

Validation of a model for ranking aquaculture facilities for risk-based disease surveillance.

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Diserens, Nicolas; Falzon, Laura Cristina; von Siebenthal, Beat; Schüpbach-Regula, Gertraud; Wahli, Thomas

2017-09-15

A semi-quantitative model for risk ranking of aquaculture facilities in Switzerland with regard to the introduction and spread of Viral Haemorrhagic Septicaemia (VHS) and Infectious Haematopoietic Necrosis (IHN) was developed in a previous study (Diserens et al., 2013). The objective of the present study was to validate this model using data collected during field visits on aquaculture sites in four Swiss cantons compared to data collected through a questionnaire in the previous study. A discrepancy between the values obtained with the two different methods was found in 32.8% of the parameters, resulting in a significant difference (pranking of Swiss aquaculture facilities according to their risk of getting infected with or spreading of VHS and IHN, as the five facilities that tested positive for these diseases in the last ten years were ranked as medium or high risk. Moreover, because the seven fish farms that were infected with Infectious Pancreatic Necrosis (IPN) during the same period also belonged to the risk categories medium and high, the classification appeared to correlate with the occurrence of this third viral fish disease. Copyright © 2017 Elsevier B.V. All rights reserved.

Manifold regularized multi-task feature selection for multi-modality classification in Alzheimer's disease.

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Jie, Biao; Zhang, Daoqiang; Cheng, Bo; Shen, Dinggang

2013-01-01

Accurate diagnosis of Alzheimer's disease (AD), as well as its prodromal stage (i.e., mild cognitive impairment, MCI), is very important for possible delay and early treatment of the disease. Recently, multi-modality methods have been used for fusing information from multiple different and complementary imaging and non-imaging modalities. Although there are a number of existing multi-modality methods, few of them have addressed the problem of joint identification of disease-related brain regions from multi-modality data for classification. In this paper, we proposed a manifold regularized multi-task learning framework to jointly select features from multi-modality data. Specifically, we formulate the multi-modality classification as a multi-task learning framework, where each task focuses on the classification based on each modality. In order to capture the intrinsic relatedness among multiple tasks (i.e., modalities), we adopted a group sparsity regularizer, which ensures only a small number of features to be selected jointly. In addition, we introduced a new manifold based Laplacian regularization term to preserve the geometric distribution of original data from each task, which can lead to the selection of more discriminative features. Furthermore, we extend our method to the semi-supervised setting, which is very important since the acquisition of a large set of labeled data (i.e., diagnosis of disease) is usually expensive and time-consuming, while the collection of unlabeled data is relatively much easier. To validate our method, we have performed extensive evaluations on the baseline Magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (FDG-PET) data of Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Our experimental results demonstrate the effectiveness of the proposed method.

Causes and risk factors of falls in patients with Parkinson's disease.

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Rudzińska, Monika; Bukowczan, Sylwia; Banaszkiewicz, Krzysztof; Stozek, Joanna; Zajdel, Katarzyna; Szczudlik, Andrzej

2008-01-01

Falls are a common and serious problem among Parkinson's disease (PD) patients. However, knowledge about the causes and risk factors of falls is limited. There have been a few attempts to classify the causes of falls. The classification suggested by Olanow seems to be the most comprehensive one. The aim of this study was to analyze retrospectively the causes of falls and risk factors of falls in PD patients. One hundred and four patients with moderately advanced PD were included in the study. The patients were asked to describe the circumstances and consequences of falls which occurred during 12 months preceding the examination. The falls were classified according to the Olanow classification of causes of falls. Fifty-two patients (50%) reported at least one fall during the previous year with a mean number of 1.5 falls per year. The most common causes of falls were environmental factors, sudden falls and postural instability. There were no falls caused by severe dyskinesia, drugs or cardiovascular disorders. The only independent risk factors of the recurrent falls identified in this study were UPDRS part II score (OR 1.17, 95% CI: 1.02-1.37) and Mini Mental State Examination score (OR 0.85, 95% CI: 0.72-0.99). Considering these results we may be able to prevent most falls by means of the education of patients about environmental factors and using adequate rehabilitation techniques concentrating on postural stability and gait.

Level of daily physical activity in chronic obstructive pulmonary disease (COPD) patients according to GOLD classification.

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Rodó-Pin, Anna; Balañá, Ana; Molina, Lluís; Gea, Joaquim; Rodríguez, Diego A

2017-02-09

The Global Initiative for Chronic Obstructive Lung Disease (GOLD guideline) for patients with chronic obstructive pulmonary disease does not adequately reflect the impact of the disease because does not take into account daily physical activity (DPA). Forty eight patients (12 in each GOLD group) were prospectively recruited. DPA was evaluated by accelerometer. Patients were classified into 3 levels of activity (very inactive, sedentary, active). No significant differences in levels of physical activity among GOLD groups (P=.361) were observed. The percentages of very inactive patients were 33% in group A, 42% in group B, 42% in group C and 59% in group D. In addition, high percentage of sedentary patients were observed through 4 groups, in group A (50%), B and C (42%, each), and group D (41%). COPD patients has very low levels of physical activity at all stages of GOLD classification even those defined as low impact (such as GOLD A). Is necessary to detect patients at risk who might benefit from specific interventions. Copyright © 2016 Elsevier España, S.L.U. All rights reserved.

[Evaluation of the course of chronic obstructive lung diseases according to the classifications of the European Respiratory Society and the Global Initiative on Chronic Obstructive Lung Disease].

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Nefedov, V B; Shergina, E A; Popova, L A

2006-01-01

In 91 patients with chronic obstructive lung disease (COLD), the severity of this disease according to the Classifications of the European Respiratory Society (ERS) and the Global Initiative on Chronic Obstructive Lung Disease (GOLD) was compared with that of pulmonary dysfunction according to the data of a comprehensive study, involving the determination of bronchial patency, lung volumes, capacities, and gas-exchange function. This follows that the ERS and GOLD classifications are to be positively appraised as they provide an eligible group of patients for clinical practice in terms of the severity of pulmonary dysfunction and that of COLD. However, the concomitant clinical use of both classifications cannot be regarded as justifiable due to that there are differences in the number of detectable grades (stages) of COLD and borderline (COLD differentiating grades (stages) values of EFV1). In this connection, both classifications have approximately equally significant merits and shortcomings and it is practically impossible to give preference to one of them as the best one. The optimal way out of the established situation is to develop a new (improved) classification of the severity of COLD on the bases of these two existing classifications.

Online Learning for Classification of Alzheimer Disease based on Cortical Thickness and Hippocampal Shape Analysis.

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Lee, Ga-Young; Kim, Jeonghun; Kim, Ju Han; Kim, Kiwoong; Seong, Joon-Kyung

2014-01-01

Mobile healthcare applications are becoming a growing trend. Also, the prevalence of dementia in modern society is showing a steady growing trend. Among degenerative brain diseases that cause dementia, Alzheimer disease (AD) is the most common. The purpose of this study was to identify AD patients using magnetic resonance imaging in the mobile environment. We propose an incremental classification for mobile healthcare systems. Our classification method is based on incremental learning for AD diagnosis and AD prediction using the cortical thickness data and hippocampus shape. We constructed a classifier based on principal component analysis and linear discriminant analysis. We performed initial learning and mobile subject classification. Initial learning is the group learning part in our server. Our smartphone agent implements the mobile classification and shows various results. With use of cortical thickness data analysis alone, the discrimination accuracy was 87.33% (sensitivity 96.49% and specificity 64.33%). When cortical thickness data and hippocampal shape were analyzed together, the achieved accuracy was 87.52% (sensitivity 96.79% and specificity 63.24%). In this paper, we presented a classification method based on online learning for AD diagnosis by employing both cortical thickness data and hippocampal shape analysis data. Our method was implemented on smartphone devices and discriminated AD patients for normal group.

Severity of Airflow Obstruction in Chronic Obstructive Pulmonary Disease (COPD): Proposal for a New Classification.

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Coton, Sonia; Vollmer, William M; Bateman, Eric; Marks, Guy B; Tan, Wan; Mejza, Filip; Juvekar, Sanjay; Janson, Christer; Mortimer, Kevin; P A, Mahesh; Buist, A Sonia; Burney, Peter G J

2017-10-01

Current classifications of Chronic Obstructive Pulmonary Disease (COPD) severity are complex and do not grade levels of obstruction. Obstruction is a simpler construct and independent of ethnicity. We constructed an index of obstruction severity based on the FEV 1 /FVC ratio, with cut-points dividing the Burden of Obstructive Lung Disease (BOLD) study population into four similarly sized strata to those created by the GOLD criteria that uses FEV 1 . We measured the agreement between classifications and the validity of the FEV 1 -based classification in identifying the level of obstruction as defined by the new groupings. We compared the strengths of association of each classification with quality of life (QoL), MRC dyspnoea score and the self-reported exacerbation rate. Agreement between classifications was only fair. FEV 1 -based criteria for moderate COPD identified only 79% of those with moderate obstruction and misclassified half of the participants with mild obstruction as having more severe COPD. Both scales were equally strongly associated with QoL, exertional dyspnoea and respiratory exacerbations. Severity assessed using the FEV 1 /FVC ratio is only in moderate agreement with the severity assessed using FEV 1 but is equally strongly associated with other outcomes. Severity assessed using the FEV 1 /FVC ratio is likely to be independent of ethnicity.

Expanding the definition and classification of hypertension.

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Giles, Thomas D; Berk, Bradford C; Black, Henry R; Cohn, Jay N; Kostis, John B; Izzo, Joseph L; Weber, Michael A

2005-09-01

Cardiovascular abnormalities are frequently the cause, as well as the effect, of elevated blood pressure. As such, early cardiovascular disease (CVD) may be established before identifiable blood pressure thresholds are crossed. To identify individuals at risk for CVD at an earlier point in the disease process, as well as to avoid labeling persons as hypertensive who are at low risk for CVD, the Hypertension Writing Group proposes incorporating the presence or absence of cardiovascular risk factors, early disease markers, and target organ damage into the definition and classification scheme of hypertension. To describe both the complexity and progressive nature of hypertension, the following definition is proposed: "Hypertension is a progressive cardiovascular syndrome arising from complex and interrelated etiologies. Early markers of the syndrome are often present before blood pressure elevation is observed; therefore, hypertension cannot be classified solely by discrete blood pressure thresholds. Progression is strongly associated with functional and structural cardiac and vascular abnormalities that damage the heart, kidneys, brain, vasculature, and other organs and lead to premature morbidity and death." Classification of hypertension must involve assessing global cardiovascular risk to situate an individual's risk for CVD and events along a continuum. As knowledge of early CVD continues to evolve, the approach to classifying individuals along that continuum can be expected to evolve accordingly. The four categories currently used to classify hypertension are normal, prehypertension, and stages 1 and 2 hypertension. The population identified with prehypertension includes a subgroup with early CVD. We believe it would be preferable to classify all individuals as either normal or hypertensive, based on their cardiovascular evaluation, using the four categories of normal and stages 1, 2, and 3 hypertension.

Polymyositis and dermatomyositis: Disease spectrum and classification

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Siba P Raychaudhuri

2012-01-01

Full Text Available Muscle inflammation and weakness are the key features of idiopathic inflammatory myopathies (IIMs. In addition IIMs are frequently associated with cutaneous and pulmonary involvement. In clinical practice the three common inflammatory myopathies we come across are polymyositis (PM, dermatomyositis (DM and inclusion body myositis (IBM. The Bohan and Peter criteria combine clinical, laboratory, and pathologic features to define PM and DM. They did not recognize inclusion body myositis (IBM or other inflammatory myopathies, such as granulomatous and eosinophilic myositis. Thus the disease spectrum is wide and IIMs are a heterogeneous group of autoimmune disorders. To address these issues in this article we have discussed the currently developing newer classifications of IIMs.

Classification of Chronic Obstructive Pulmonary Disease (COPD) according to the new Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2017: Comparison with GOLD 2011.

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Marçôa, Raquel; Rodrigues, Daniela Marta; Dias, Margarida; Ladeira, Inês; Vaz, Ana Paula; Lima, Ricardo; Guimarães, Miguel

2018-02-01

Chronic Obstructive Pulmonary Disease (COPD) is a major cause of morbidity and mortality worldwide. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) project has been working to improve awareness, prevention and management of this disease. The aim of this study is to evaluate how COPD patients are reclassified by the 2017 GOLD system (versus GOLD 2011), to calculate the level of agreement between these two classifications in allocation to categories and to compare the performance of each classification to predict future exacerbations. Two-hundred COPD patients (>40 years, post bronchodilator forced expiratory volume in one second/forced vital capacity<0.7) followed in pulmonology consultation were recruited into this prospective multicentric study. Approximately half of the patients classified as GOLD D [2011] changed to GOLD B [2017]. The extent of agreement between GOLD 2011 and GOLD 2017 was moderate (Cohen's Kappa = 0.511; p < 0.001) and the ability to predict exacerbations was similar (69.7% and 67.6%, respectively). GOLD B [2017] exacerbated 17% more than GOLD B [2011] and had a lower percent predicted post bronchodilator forced expiratory volume in one second (FEV1). GOLD B [2017] turned to be the predominant category, more heterogeneous and with a higher risk of exacerbation versus GOLD B [2011]. Physicians should be cautious in assessing the GOLD B [2017] patients. The assessment of patients should always be personalized. More studies are needed to evaluate the impact of the 2017 reclassification in predicting outcomes such as future exacerbations and mortality.

Clinical Classification of Diseases and Conditions of Mammary Glands in Children and Adolescents

Directory of Open Access Journals (Sweden)

Marina L. Travina

2016-01-01

Full Text Available The article describes the proposed current clinical classification of breast diseases and pathology in childhood and adolescence. The classification is based on the analysis of data obtained from the examination and follow-up monitoring of 6,126 children for up to 8 years. The clinical classification is recommended for widespread use in the work of primary care physicians who conduct follow-up monitoring. The use of this classification creates groups for referral to specialists for further examination and further treatment and follow-up monitoring. The classification is based on the separation of physiological (normal conditions and pathological processes, as well as on temporary deviations from normal development (temporary conditions not leading to pathological processes and anomalies in development of mammary glands and nipple-areolar complex. If any abnormalities are suspected, a patient shall be sent to a mammologist for further examination and US scanning. Control of growth and development of mammary glands in childhood and adolescence ensures early detection of abnormalities and allows necessary remedial measures to protect reproductive health.

Social determinants and the classification of disease: descriptive epidemiology of selected socially mediated disease constellations.

Directory of Open Access Journals (Sweden)

Robert S Levine

Full Text Available Most major diseases have important social determinants. In this context, classification of disease based on etiologic or anatomic criteria may be neither mutually exclusive nor optimal.Units of analysis comprised large metropolitan central and fringe metropolitan counties with reliable mortality rates--(n = 416. Participants included infants and adults ages 25 to 64 years with selected causes of death (1999 to 2006. Exposures included that residential segregation and race-specific social deprivation variables. Main outcome measures were obtained via principal components analyses with an orthogonal rotation to identify a common factor. To discern whether the common factor was socially mediated, negative binomial multiple regression models were developed for which the dependent variable was the common factor. Results showed that infant deaths, mortality from assault, and malignant neoplasm of the trachea, bronchus and lung formed a common factor for race-gender groups (black/white and men/women. Regression analyses showed statistically significant, positive associations between low socio-economic status for all race-gender groups and this common factor.Between 1999 and 2006, deaths classified as "assault" and "lung cancer", as well as "infant mortality" formed a socially mediated factor detectable in population but not individual data. Despite limitations related to death certificate data, the results contribute important information to the formulation of several hypotheses: (a disease classifications based on anatomic or etiologic criteria fail to account for social determinants; (b social forces produce demographically and possibly geographically distinct population-based disease constellations; and (c the individual components of population-based disease constellations (e.g., lung cancer are phenotypically comparable from one population to another but genotypically different, in part, because of socially mediated epigenetic variations

Risk of cardiovascular disease

DEFF Research Database (Denmark)

Gejl, Michael; Starup-Linde, Jakob; Scheel-Thomsen, Jan

2014-01-01

AIMS: Type 2 diabetes (DM) increases the risk of cardiovascular disease. We investigated the effects of antidiabetic drugs on the composite endpoint (CE) of ischemic heart disease, heart failure or stroke in DM patients. METHODS: We conducted a nested case-control study. Cases were DM patients who......% CI: 16.88-24.12), neuropathy (OR=1.39, 95% CI: 1.05-1.85) and peripheral artery disease (OR=1.31, 95% CI: 1.02-1.69) increased the risk of CE. Biguanides (OR=0.62 95% CI; 0.54-0.71) and liraglutide (OR=0.48 95% CI; 0.38-0.62) significantly decreased the risk of CE as did statin treatment (OR=0.63, 95...

Categorization of allergic disorders in the new World Health Organization International Classification of Diseases.

Science.gov (United States)

Tanno, Luciana Kase; Calderon, Moises A; Goldberg, Bruce J; Akdis, Cezmi A; Papadopoulos, Nikolaos G; Demoly, Pascal

2014-01-01

Although efforts to improve the classification of hypersensitivity/allergic diseases have been made, they have not been considered a top-level category in the International Classification of Diseases (ICD)-10 and still are not in the ICD-11 beta phase linearization. ICD-10 is the most used classification system by the allergy community worldwide but it is not considered as appropriate for clinical practice. The Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) on the other hand contains a tightly integrated classification of hypersensitivity/allergic disorders based on the EAACI/WAO nomenclature and the World Health Organization (WHO) may plan to align ICD-11 with SNOMED CT so that they share a common ontological basis. With the aim of actively supporting the ongoing ICD-11 revision and the optimal practice of Allergology, we performed a careful comparison of ICD-10 and 11 beta phase linearization codes to identify gaps, areas of regression in allergy coding and possibly reach solutions, in collaboration with committees in charge of the ICD-11 revision. We have found a significant degree of misclassification of terms in the allergy-related hierarchies. This stems not only from unclear definitions of these conditions but also the use of common names that falsely imply allergy. The lack of understanding of the immune mechanisms underlying some of the conditions contributes to the difficulty in classification. More than providing data to support specific changes into the ongoing linearization, these results highlight the need for either a new chapter entitled Hypersensitivity/Allergic Disorders as in SNOMED CT or a high level structure in the Immunology chapter in order to make classification more appropriate and usable.

Classification of interstitial lung disease patterns with topological texture features

Science.gov (United States)

Huber, Markus B.; Nagarajan, Mahesh; Leinsinger, Gerda; Ray, Lawrence A.; Wismüller, Axel

2010-03-01

Topological texture features were compared in their ability to classify morphological patterns known as 'honeycombing' that are considered indicative for the presence of fibrotic interstitial lung diseases in high-resolution computed tomography (HRCT) images. For 14 patients with known occurrence of honey-combing, a stack of 70 axial, lung kernel reconstructed images were acquired from HRCT chest exams. A set of 241 regions of interest of both healthy and pathological (89) lung tissue were identified by an experienced radiologist. Texture features were extracted using six properties calculated from gray-level co-occurrence matrices (GLCM), Minkowski Dimensions (MDs), and three Minkowski Functionals (MFs, e.g. MF.euler). A k-nearest-neighbor (k-NN) classifier and a Multilayer Radial Basis Functions Network (RBFN) were optimized in a 10-fold cross-validation for each texture vector, and the classification accuracy was calculated on independent test sets as a quantitative measure of automated tissue characterization. A Wilcoxon signed-rank test was used to compare two accuracy distributions and the significance thresholds were adjusted for multiple comparisons by the Bonferroni correction. The best classification results were obtained by the MF features, which performed significantly better than all the standard GLCM and MD features (p < 0.005) for both classifiers. The highest accuracy was found for MF.euler (97.5%, 96.6%; for the k-NN and RBFN classifier, respectively). The best standard texture features were the GLCM features 'homogeneity' (91.8%, 87.2%) and 'absolute value' (90.2%, 88.5%). The results indicate that advanced topological texture features can provide superior classification performance in computer-assisted diagnosis of interstitial lung diseases when compared to standard texture analysis methods.

Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease

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Tijn M. Schouten

2016-01-01

Full Text Available Magnetic resonance imaging (MRI is sensitive to structural and functional changes in the brain caused by Alzheimer's disease (AD, and can therefore be used to help in diagnosing the disease. Improving classification of AD patients based on MRI scans might help to identify AD earlier in the disease's progress, which may be key in developing treatments for AD. In this study we used an elastic net classifier based on several measures derived from the MRI scans of mild to moderate AD patients (N=77 from the prospective registry on dementia study and controls (N=173 from the Austrian Stroke Prevention Family Study. We based our classification on measures from anatomical MRI, diffusion weighted MRI and resting state functional MRI. Our unimodal classification performance ranged from an area under the curve (AUC of 0.760 (full correlations between functional networks to 0.909 (grey matter density. When combining measures from multiple modalities in a stepwise manner, the classification performance improved to an AUC of 0.952. This optimal combination consisted of grey matter density, white matter density, fractional anisotropy, mean diffusivity, and sparse partial correlations between functional networks. Classification performance for mild AD as well as moderate AD also improved when using this multimodal combination. We conclude that different MRI modalities provide complementary information for classifying AD. Moreover, combining multiple modalities can substantially improve classification performance over unimodal classification.

Frailty and Risk Classification for Life Annuity Portfolios

Directory of Open Access Journals (Sweden)

Annamaria Olivieri

2016-10-01

Full Text Available Life annuities are attractive mainly for healthy people. In order to expand their business, in recent years, some insurers have started offering higher annuity rates to those whose health conditions are critical. Life annuity portfolios are then supposed to become larger and more heterogeneous. With respect to the insurer’s risk profile, there is a trade-off between portfolio size and heterogeneity that we intend to investigate. In performing this, there is a second and possibly more important issue that we address. In actuarial practice, the different mortality levels of the several risk classes are obtained by applying adjustment coefficients to population mortality rates. Such a choice is not supported by a rigorous model. On the other hand, the heterogeneity of a population with respect to mortality can formally be described with a frailty model. We suggest adopting a frailty model for risk classification. We identify risk groups (or classes within the population by assigning specific ranges of values to the frailty within each group. The different levels of mortality of the various groups are based on the conditional probability distributions of the frailty. Annuity rates for each class then can be easily justified, and a comprehensive investigation of insurer’s liabilities can be performed.

Toward a Safety Risk-Based Classification of Unmanned Aircraft

Science.gov (United States)

Torres-Pomales, Wilfredo

2016-01-01

There is a trend of growing interest and demand for greater access of unmanned aircraft (UA) to the National Airspace System (NAS) as the ongoing development of UA technology has created the potential for significant economic benefits. However, the lack of a comprehensive and efficient UA regulatory framework has constrained the number and kinds of UA operations that can be performed. This report presents initial results of a study aimed at defining a safety-risk-based UA classification as a plausible basis for a regulatory framework for UA operating in the NAS. Much of the study up to this point has been at a conceptual high level. The report includes a survey of contextual topics, analysis of safety risk considerations, and initial recommendations for a risk-based approach to safe UA operations in the NAS. The next phase of the study will develop and leverage deeper clarity and insight into practical engineering and regulatory considerations for ensuring that UA operations have an acceptable level of safety.

Cost-Effectiveness Analysis: Risk Stratification of Nonalcoholic Fatty Liver Disease (NAFLD by the Primary Care Physician Using the NAFLD Fibrosis Score.

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Elliot B Tapper

Full Text Available The complications of Nonalcoholic Fatty Liver Disease (NAFLD are dependent on the presence of advanced fibrosis. Given the high prevalence of NAFLD in the US, the optimal evaluation of NAFLD likely involves triage by a primary care physician (PCP with advanced disease managed by gastroenterologists.We compared the cost-effectiveness of fibrosis risk-assessment strategies in a cohort of 10,000 simulated American patients with NAFLD performed in either PCP or referral clinics using a decision analytical microsimulation state-transition model. The strategies included use of vibration-controlled transient elastography (VCTE, the NAFLD fibrosis score (NFS, combination testing with NFS and VCTE, and liver biopsy (usual care by a specialist only. NFS and VCTE performance was obtained from a prospective cohort of 164 patients with NAFLD. Outcomes included cost per quality adjusted life year (QALY and correct classification of fibrosis.Risk-stratification by the PCP using the NFS alone costs $5,985 per QALY while usual care costs $7,229/QALY. In the microsimulation, at a willingness-to-pay threshold of $100,000, the NFS alone in PCP clinic was the most cost-effective strategy in 94.2% of samples, followed by combination NFS/VCTE in the PCP clinic (5.6% and usual care in 0.2%. The NFS based strategies yield the best biopsy-correct classification ratios (3.5 while the NFS/VCTE and usual care strategies yield more correct-classifications of advanced fibrosis at the cost of 3 and 37 additional biopsies per classification.Risk-stratification of patients with NAFLD primary care clinic is a cost-effective strategy that should be formally explored in clinical practice.

Motif-Based Text Mining of Microbial Metagenome Redundancy Profiling Data for Disease Classification.

Science.gov (United States)

Wang, Yin; Li, Rudong; Zhou, Yuhua; Ling, Zongxin; Guo, Xiaokui; Xie, Lu; Liu, Lei

2016-01-01

Text data of 16S rRNA are informative for classifications of microbiota-associated diseases. However, the raw text data need to be systematically processed so that features for classification can be defined/extracted; moreover, the high-dimension feature spaces generated by the text data also pose an additional difficulty. Here we present a Phylogenetic Tree-Based Motif Finding algorithm (PMF) to analyze 16S rRNA text data. By integrating phylogenetic rules and other statistical indexes for classification, we can effectively reduce the dimension of the large feature spaces generated by the text datasets. Using the retrieved motifs in combination with common classification methods, we can discriminate different samples of both pneumonia and dental caries better than other existing methods. We extend the phylogenetic approaches to perform supervised learning on microbiota text data to discriminate the pathological states for pneumonia and dental caries. The results have shown that PMF may enhance the efficiency and reliability in analyzing high-dimension text data.

GLOBAL CLASSIFICATION OF DERMATITIS DISEASE WITH K-MEANS CLUSTERING IMAGE SEGMENTATION METHODS

OpenAIRE

Prafulla N. Aerkewar1 & Dr. G. H. Agrawal2

2018-01-01

The objective of this paper to presents a global technique for classification of different dermatitis disease lesions using the process of k-Means clustering image segmentation method. The word global is used such that the all dermatitis disease having skin lesion on body are classified in to four category using k-means image segmentation and nntool of Matlab. Through the image segmentation technique and nntool can be analyze and study the segmentation properties of skin lesions occurs in...

Statistical Fractal Models Based on GND-PCA and Its Application on Classification of Liver Diseases

Directory of Open Access Journals (Sweden)

Huiyan Jiang

2013-01-01

Full Text Available A new method is proposed to establish the statistical fractal model for liver diseases classification. Firstly, the fractal theory is used to construct the high-order tensor, and then Generalized -dimensional Principal Component Analysis (GND-PCA is used to establish the statistical fractal model and select the feature from the region of liver; at the same time different features have different weights, and finally, Support Vector Machine Optimized Ant Colony (ACO-SVM algorithm is used to establish the classifier for the recognition of liver disease. In order to verify the effectiveness of the proposed method, PCA eigenface method and normal SVM method are chosen as the contrast methods. The experimental results show that the proposed method can reconstruct liver volume better and improve the classification accuracy of liver diseases.

Classification and risk assessment of individuals with familial polyposis, Gardner's syndrome, and familial non-polyposis colon cancer from [3H]thymidine labeling patterns in colonic epithelial cells

International Nuclear Information System (INIS)

Lipkin, M.; Blattner, W.A.; Gardner, E.J.; Burt, R.W.; Lynch, H.; Deschner, E.; Winawer, S.; Fraumeni, J.F. Jr.

1984-01-01

A probabilistic analysis has been developed to assist the binary classification and risk assessment of members of familial colon cancer kindreds. The analysis is based on the microautoradiographic observation of [ 3 H]thymidine-labeled epithelial cells in colonic mucosa of the kindred members. From biopsies of colonic mucosa which are labeled with [ 3 H]thymidine in vitro, the degree of similarity of each subject's cell-labeling pattern measured over entire crypts was automatically compared to the labeling patterns of high-risk and low-risk reference populations. Each individual was then presumptively classified and assigned to one of the reference populations, and a degree of risk for the classification was provided. In carrying out the analysis, a linear score was calculated for each individual relative to each of the reference populations, and the classification was based on the polarity of the score difference; the degree of risk was then quantitated from the magnitude of the score difference. When the method was applied to kindreds having either familial polyposis or familial non-polyposis colon cancer, it effectively segregated individuals affected with disease from others at low risk, with sensitivity and specificity ranging from 71 to 92%. Further application of the method to asymptomatic family members believed to be at 50% risk on the basis of pedigree evaluation revealed a biomodal distribution to nearly zero or full risk. The accuracy and simplicity of this approach and its capability of revealing early stages of abnormal colonic epithelial cell development indicate potential for preclinical screening of subjects at risk in cancer-prone kindreds and for assisting the analysis of modes of inheritance

Effect of maternal age and cardiac disease severity on outcome of pregnancy in women with congenital heart disease.

Science.gov (United States)

Furenäs, Eva; Eriksson, Peter; Wennerholm, Ulla-Britt; Dellborg, Mikael

2017-09-15

There is an increasing prevalence of women with congenital heart defects reaching childbearing age. In western countries women tend to give birth at a higher age compared to some decades ago. We evaluated the CARdiac disease in PREGnancy (CARPREG) and modified World Health Organization (mWHO) risk classifications for cardiac complications during pregnancies in women with congenital heart defects and analyzed the impact of age on risk of obstetric and fetal outcome. A single-center observational study of cardiac, obstetric, and neonatal complications with data from cardiac and obstetric records of pregnancies in women with congenital heart disease. Outcomes of 496 pregnancies in 232 women, including induced abortion, miscarriage, stillbirth, and live birth were analyzed regarding complications, maternal age, mode of delivery, and two risk classifications: CARPREG and mWHO. There were 28 induced abortions, 59 fetal loss, 409 deliveries with 412 neonates. Cardiac (14%), obstetric (14%), and neonatal (15%) complications were noted, including one maternal death and five stillbirths. The rate of cesarean section was 19%. Age above 35years was of borderline importance for cardiac complications (p=0.054) and was not a significant additional risk factor for obstetric or neonatal complications. Both risk classifications had moderate clinical utility, with area under the curve (AUC) 0.71 for CARPREG and 0.65 for mWHO on cardiac complications. Pregnancy complications in women with congenital heart disease are common but severe complications are rare. Advanced maternal age does not seem to affect complication rate. Existing risk classification systems are insufficient in predicting complications. Copyright © 2017 Elsevier B.V. All rights reserved.

A practicable approach for periodontal classification

Science.gov (United States)

Mittal, Vishnu; Bhullar, Raman Preet K.; Bansal, Rachita; Singh, Karanprakash; Bhalodi, Anand; Khinda, Paramjit K.

2013-01-01

The Diagnosis and classification of periodontal diseases has remained a dilemma since long. Two distinct concepts have been used to define diseases: Essentialism and Nominalism. Essentialistic concept implies the real existence of disease whereas; nominalistic concept states that the names of diseases are the convenient way of stating concisely the endpoint of a diagnostic process. It generally advances from assessment of symptoms and signs toward knowledge of causation and gives a feasible option to name the disease for which etiology is either unknown or it is too complex to access in routine clinical practice. Various classifications have been proposed by the American Academy of Periodontology (AAP) in 1986, 1989 and 1999. The AAP 1999 classification is among the most widely used classification. But this classification also has demerits which provide impediment for its use in day to day practice. Hence a classification and diagnostic system is required which can help the clinician to access the patient's need and provide a suitable treatment which is in harmony with the diagnosis for that particular case. Here is an attempt to propose a practicable classification and diagnostic system of periodontal diseases for better treatment outcome. PMID:24379855

Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer’s Disease

Science.gov (United States)

Jie, Biao; Cheng, Bo

2014-01-01

Accurate diagnosis of Alzheimer’s disease (AD), as well as its pro-dromal stage (i.e., mild cognitive impairment, MCI), is very important for possible delay and early treatment of the disease. Recently, multi-modality methods have been used for fusing information from multiple different and complementary imaging and non-imaging modalities. Although there are a number of existing multi-modality methods, few of them have addressed the problem of joint identification of disease-related brain regions from multi-modality data for classification. In this paper, we proposed a manifold regularized multi-task learning framework to jointly select features from multi-modality data. Specifically, we formulate the multi-modality classification as a multi-task learning framework, where each task focuses on the classification based on each modality. In order to capture the intrinsic relatedness among multiple tasks (i.e., modalities), we adopted a group sparsity regularizer, which ensures only a small number of features to be selected jointly. In addition, we introduced a new manifold based Laplacian regularization term to preserve the geometric distribution of original data from each task, which can lead to the selection of more discriminative features. Furthermore, we extend our method to the semi-supervised setting, which is very important since the acquisition of a large set of labeled data (i.e., diagnosis of disease) is usually expensive and time-consuming, while the collection of unlabeled data is relatively much easier. To validate our method, we have performed extensive evaluations on the baseline Magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (FDG-PET) data of Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Our experimental results demonstrate the effectiveness of the proposed method. PMID:24505676

Acute myeloid leukemia in the era of precision medicine: recent advances in diagnostic classification and risk stratification.

Science.gov (United States)

Kansal, Rina

2016-03-01

Acute myeloid leukemia (AML) is a genetically heterogeneous myeloid malignancy that occurs more commonly in adults, and has an increasing incidence, most likely due to increasing age. Precise diagnostic classification of AML requires clinical and pathologic information, the latter including morphologic, immunophenotypic, cytogenetic and molecular genetic analysis. Risk stratification in AML requires cytogenetics evaluation as the most important predictor, with genetic mutations providing additional necessary information. AML with normal cytogenetics comprises about 40%-50% of all AML, and has been intensively investigated. The currently used 2008 World Health Organization classification of hematopoietic neoplasms has been proposed to be updated in 2016, also to include an update on the classification of AML, due to the continuously increasing application of genomic techniques that have led to major advances in our knowledge of the pathogenesis of AML. The purpose of this review is to describe some of these recent major advances in the diagnostic classification and risk stratification of AML.

Acute myeloid leukemia in the era of precision medicine: recent advances in diagnostic classification and risk stratification

International Nuclear Information System (INIS)

Kansal, Rina

2016-01-01

Acute myeloid leukemia (AML) is a genetically heterogeneous myeloid malignancy that occurs more commonly in adults, and has an increasing incidence, most likely due to increasing age. Precise diagnostic classification of AML requires clinical and pathologic information, the latter including morphologic, immunophenotypic, cytogenetic and molecular genetic analysis. Risk stratification in AML requires cytogenetics evaluation as the most important predictor, with genetic mutations providing additional necessary information. AML with normal cytogenetics comprises about 40%-50% of all AML, and has been intensively investigated. The currently used 2008 World Health Organization classification of hematopoietic neoplasms has been proposed to be updated in 2016, also to include an update on the classification of AML, due to the continuously increasing application of genomic techniques that have led to major advances in our knowledge of the pathogenesis of AML. The purpose of this review is to describe some of these recent major advances in the diagnostic classification and risk stratification of AML

Transmission tower classification based on landslide risk map generated by Geographical Information System (GIS) at Cameron Highlands

International Nuclear Information System (INIS)

Hazwani N K; Rohayu C O; Fathoni U; Baharuddin, Inz

2013-01-01

Transmission tower is usually locates at remote area which is covered by hilly topography. Landslide is mainly occurring at hilly area and causing failure to the tower structure. This phenomenon subsequently will affect the national electricity supply. A landslide risk hazard map is generated using Geographical Information System (GIS). Risk classification is introduced to initiate the monitoring process along Jor-Bintang transmission line, Cameron Highland, Pahang. The classification has been divided into three categories, which are low, medium and high. This method can be applied in slope monitoring activities since all towers have been classified based on their risk level. Therefore, maintenance schedule can be planned smoothly and efficiently.

Transmission tower classification based on landslide risk Map generated by Geographical Information System (GIS) at Cameron Highlands

International Nuclear Information System (INIS)

Hazwani N K; Rohayu C O; Fathoni U; Baharuddin, I N Z; Azwin Z A

2013-01-01

Transmission tower is usually locates at remote area which is covered by hilly topography. Landslide is mainly occurring at hilly area and causing failure to the tower structure. This phenomenon subsequently will affect the national electricity supply. A landslide risk hazard map is generated using Geographical Information System (GIS). Risk classification is introduced to initiate the monitoring process along Jor-Bintang transmission line, Cameron Highland, Pahang. The classification has been divided into three categories, which are low, medium and high. This method can be applied in slope monitoring activities since all towers have been classified based on their risk level. Therefore, maintenance schedule can be planned smoothly and efficiently.

Refinement of diagnosis and disease classification in psychiatry.

Science.gov (United States)

Lecrubier, Yves

2008-03-01

to be related to risk factors especially at certain periods when associated with environmental events. One of the major aims for a classification of patients is to identify groups to whom a best possible therapeutic strategy can be proposed. Drugs may improve fear extinction while the genetic and/or acquired avoidance may be called phobia. The basic mechanism and or the corresponding phenotype should appear in the classification. Progresses in early identification of disturbances by taking into account all the information available (prodromal symptoms, cognitive, biological, imaging, genetic, family information) are crucial for the future therapeutic strategy: prevention.

Evidence-based risk assessment and communication: a new global dengue-risk map for travellers and clinicians.

Science.gov (United States)

Jentes, Emily S; Lash, R Ryan; Johansson, Michael A; Sharp, Tyler M; Henry, Ronnie; Brady, Oliver J; Sotir, Mark J; Hay, Simon I; Margolis, Harold S; Brunette, Gary W

2016-06-01

International travel can expose travellers to pathogens not commonly found in their countries of residence, like dengue virus. Travellers and the clinicians who advise and treat them have unique needs for understanding the geographic extent of risk for dengue. Specifically, they should assess the need for prevention measures before travel and ensure appropriate treatment of illness post-travel. Previous dengue-risk maps published in the Centers for Disease Control and Prevention's Yellow Book lacked specificity, as there was a binary (risk, no risk) classification. We developed a process to compile evidence, evaluate it and apply more informative risk classifications. We collected more than 839 observations from official reports, ProMED reports and published scientific research for the period 2005-2014. We classified each location as frequent/continuous risk if there was evidence of more than 10 dengue cases in at least three of the previous 10 years. For locations that did not fit this criterion, we classified locations as sporadic/uncertain risk if the location had evidence of at least one locally acquired dengue case during the last 10 years. We used expert opinion in limited instances to augment available data in areas where data were sparse. Initial categorizations classified 134 areas as frequent/continuous and 140 areas as sporadic/uncertain. CDC subject matter experts reviewed all initial frequent/continuous and sporadic/uncertain categorizations and the previously uncategorized areas. From this review, most categorizations stayed the same; however, 11 categorizations changed from the initial determinations. These new risk classifications enable detailed consideration of dengue risk, with clearer meaning and a direct link to the evidence that supports the specific classification. Since many infectious diseases have dynamic risk, strong geographical heterogeneities and varying data quality and availability, using this approach for other diseases can

Measurement of ECG abnormalities and cardiovascular risk classification: a cohort study of primary care patients in the Netherlands

NARCIS (Netherlands)

de Groot, A.; Bots, M.L.; Rutten, F.H.; den Ruijter, H.M.; Numans, M.E.; Vaartjes, I.

2015-01-01

Background: GPs need accurate tools for cardiovascular (CV) risk assessment. Abnormalities in resting electrocardiograms (ECGs) relate to increased CV risk. Aim: To determine whether measurement of ECG abnormalities on top of established risk estimation (SCORE) improves CV risk classification in a

Security classification of information

Energy Technology Data Exchange (ETDEWEB)

Quist, A.S.

1993-04-01

This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

A 2-d classification of diseases based on age-specific death rates

Science.gov (United States)

Richmond, Peter; Roehner, Bertrand M.

2018-02-01

Age specific mortality curves exhibit an age tc (about 10 years) which plays a crucial role in that the mortality curve decreases hyperbolically in the age interval A before tc and increases exponentially in the interval B following tc. For those familiar with reliability theory, region A is called the "burn in" phase and B is the "wear out" phase. Using the exponents of the hyperbolic and exponential phases, we introduce a new 2 dimensional map of diseases. This permits the classification of diseases into three broad classes: AS1, AS2 and S. Class AS1 includes all diseases arising from congenital malformations which dominate infant and child mortality; class AS2 includes degenerative diseases such as dementia and Alzheimer's which dominate old age mortality. In class S, which includes most infectious and metabolic diseases, the exponents from both aging phases contribute to positions on the map. Cancer is one of these mixed cases but is closer to class AS2 than AS1. A second line classification is needed to resolve S cases and to this end we introduce a 3rd dimension, namely (calendar) time. Using historical data we show that in their response to treatment (particularly vaccination), S diseases fall into three sub-classes. (i) Class E diseases (e.g. measles or meningococcal disease) which have been almost eliminated at all ages (ii) class C diseases (e.g. tuberculosis) which can be cured but whose cure becomes less effective at old age. (iii) Class U diseases for which radical cures are still unknown. Regarding the future, the fact that the wear-out process of numerous diseases already starts around the age of 25 means that a major extension of the human lifespan beyond 120 certainly also requires to uncover the secret of the "elixir of eternal youth" which has driven timeless human efforts and still seems unlikely in the foreseeable future.

Worldwide risks of animal diseases: introduction.

Science.gov (United States)

Pearson, J E

2006-01-01

Animal diseases impact food supplies, trade and commerce, and human health and well-being in every part of the world. Outbreaks draw the attention of those in agriculture, regulatory agencies, and government, as well as the general public. This was demonstrated by the 2000-2001 foot and mouth disease (FMD) outbreaks that occurred in Europe, South America, Asia and Africa and by the recent increased occurrence of emerging diseases transmitted from animals to humans. Examples of these emerging zoonotic diseases are highly pathogenic avian influenza, bovine spongiform encephalopathy, West Nile virus and severe acute respiratory syndrome. There is also the risk of well-known and preventable zoonotic diseases, such as rabies, brucellosis, leishmaniasis, and echinococcosis/hydatidosis, in certain countries; these diseases have a high morbidity with the potential for a very high mortality. Animal agriculturalists should have a global disease awareness of disease risks and develop plans of action to deal with them; in order to better respond to these diseases, they should develop the skills and competencies in politics, media interactions, and community engagement. This issue of Veterinaria Italiana presents information on the risk of animal diseases; their impact on animals and humans at the international, national, industry, and societal levels; and the responses to them. In addition, specific information is provided on national and international disease monitoring, surveillance and reporting, the risk of spread of disease by bioterrorism and on import risk analysis.

Classification of jobs at risk of exposure and protection of pregnancy and lactation

International Nuclear Information System (INIS)

Jimenez Dominguez, M.; Perucha Ortega, M.; Sanchez Carmona, G.; Haro Madero, G.; Herrador Cordoba, M.

2011-01-01

In this paper, we describe the method followed in our hospital for the classification of jobs by defining simple criteria and establishing levels of risk and its application, the result obtained and the implications for the implementation of the RD 298/2009.

Risk-informed Analytical Approaches to Concentration Averaging for the Purpose of Waste Classification

International Nuclear Information System (INIS)

Esh, D.W.; Pinkston, K.E.; Barr, C.S.; Bradford, A.H.; Ridge, A.Ch.

2009-01-01

Nuclear Regulatory Commission (NRC) staff has developed a concentration averaging approach and guidance for the review of Department of Energy (DOE) non-HLW determinations. Although the approach was focused on this specific application, concentration averaging is generally applicable to waste classification and thus has implications for waste management decisions as discussed in more detail in this paper. In the United States, radioactive waste has historically been classified into various categories for the purpose of ensuring that the disposal system selected is commensurate with the hazard of the waste such that public health and safety will be protected. However, the risk from the near-surface disposal of radioactive waste is not solely a function of waste concentration but is also a function of the volume (quantity) of waste and its accessibility. A risk-informed approach to waste classification for near-surface disposal of low-level waste would consider the specific characteristics of the waste, the quantity of material, and the disposal system features that limit accessibility to the waste. NRC staff has developed example analytical approaches to estimate waste concentration, and therefore waste classification, for waste disposed in facilities or with configurations that were not anticipated when the regulation for the disposal of commercial low-level waste (i.e. 10 CFR Part 61) was developed. (authors)

Risk-based prioritization method for the classification of groundwater pesticide pollution from agricultural regions.

Science.gov (United States)

Yang, Yu; Lian, Xin-Ying; Jiang, Yong-Hai; Xi, Bei-Dou; He, Xiao-Song

2017-11-01

Agricultural regions are a significant source of groundwater pesticide pollution. To ensure that agricultural regions with a significantly high risk of groundwater pesticide contamination are properly managed, a risk-based ranking method related to groundwater pesticide contamination is needed. In the present paper, a risk-based prioritization method for the classification of groundwater pesticide pollution from agricultural regions was established. The method encompasses 3 phases, including indicator selection, characterization, and classification. In the risk ranking index system employed here, 17 indicators involving the physicochemical properties, environmental behavior characteristics, pesticide application methods, and inherent vulnerability of groundwater in the agricultural region were selected. The boundary of each indicator was determined using K-means cluster analysis based on a survey of a typical agricultural region and the physical and chemical properties of 300 typical pesticides. The total risk characterization was calculated by multiplying the risk value of each indicator, which could effectively avoid the subjectivity of index weight calculation and identify the main factors associated with the risk. The results indicated that the risk for groundwater pesticide contamination from agriculture in a region could be ranked into 4 classes from low to high risk. This method was applied to an agricultural region in Jiangsu Province, China, and it showed that this region had a relatively high risk for groundwater contamination from pesticides, and that the pesticide application method was the primary factor contributing to the relatively high risk. The risk ranking method was determined to be feasible, valid, and able to provide reference data related to the risk management of groundwater pesticide pollution from agricultural regions. Integr Environ Assess Manag 2017;13:1052-1059. © 2017 SETAC. © 2017 SETAC.

Potency values from the local lymph node assay: application to classification, labelling and risk assessment.

Science.gov (United States)

Loveless, S E; Api, A-M; Crevel, R W R; Debruyne, E; Gamer, A; Jowsey, I R; Kern, P; Kimber, I; Lea, L; Lloyd, P; Mehmood, Z; Steiling, W; Veenstra, G; Woolhiser, M; Hennes, C

2010-02-01

Hundreds of chemicals are contact allergens but there remains a need to identify and characterise accurately skin sensitising hazards. The purpose of this review was fourfold. First, when using the local lymph node assay (LLNA), consider whether an exposure concentration (EC3 value) lower than 100% can be defined and used as a threshold criterion for classification and labelling. Second, is there any reason to revise the recommendation of a previous ECETOC Task Force regarding specific EC3 values used for sub-categorisation of substances based upon potency? Third, what recommendations can be made regarding classification and labelling of preparations under GHS? Finally, consider how to integrate LLNA data into risk assessment and provide a rationale for using concentration responses and corresponding no-effect concentrations. Although skin sensitising chemicals having high EC3 values may represent only relatively low risks to humans, it is not possible currently to define an EC3 value below 100% that would serve as an appropriate threshold for classification and labelling. The conclusion drawn from reviewing the use of distinct categories for characterising contact allergens was that the most appropriate, science-based classification of contact allergens according to potency is one in which four sub-categories are identified: 'extreme', 'strong', 'moderate' and 'weak'. Since draining lymph node cell proliferation is related causally and quantitatively to potency, LLNA EC3 values are recommended for determination of a no expected sensitisation induction level that represents the first step in quantitative risk assessment. 2009 Elsevier Inc. All rights reserved.

Analysis of the risk of disease associated with arsenic exposure in water supply systems for human consumption

International Nuclear Information System (INIS)

Villegas Gonzalez, Nicole

2014-01-01

The risk of disease associated with arsenic exposure is analyzed in water supply systems for human consumption, as well as the control of pollution and effects on health, in the community known as Barrio Hotel of Canas in comparison with the community of San Miguel in Canas, Guanacaste, Costa Rica. A spatial analysis, temporal and classification are realized by an ecological design of the country in the following zones of exposure: without exposure, low (≥3 μg/L and ≤10 μg/L) and medium to high (≥11 μg/L and ≤187 μg/L). The transversal design is tackled through the perceived morbidity. Spatial analysis has found in the districts of Bebedero, Los Chiles, Bagaces and Canas with Standardized Morbidity Index (EMI) by age in the the greatest national range of chronic renal failure (CRF). The protection of skin cancer risk is observed in the communities of Bagaces, Canas, El Amparo and La Cruz. A temporal trend of increase in IME of CRF and skin cancer is identified in Los Chiles. The classification by zone of exposure, the unexposed areas have been protected of kidney cancer, lung and bronchus, bladder and skin. The of low exposure have presented excess risk of CRF and have been protected of skin cancer. The of medium to high are protected of bladder cancer and have maintained the trend of excess in CRF and protection of skin cancer. The transversal design has found in the exposed community the risk to suffer kidneys diseases. Arsenic exposure has increased in men the risk of renal failure and anemia, in women the decrease of vision, and age groups under of 10 years and of 40-69 years of hypopigmentation and keratoses respectively. Multivariate analysis has showed a weak association of arsenic exposure time with the risk of hypertension [es

Characterization of vascular disease risk in postmenopausal women and its association with cognitive performance.

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N Maritza Dowling

Full Text Available While global measures of cardiovascular (CV risk are used to guide prevention and treatment decisions, these estimates fail to account for the considerable interindividual variability in pre-clinical risk status. This study investigated heterogeneity in CV risk factor profiles and its association with demographic, genetic, and cognitive variables.A latent profile analysis was applied to data from 727 recently postmenopausal women enrolled in the Kronos Early Estrogen Prevention Study (KEEPS. Women were cognitively healthy, within three years of their last menstrual period, and free of current or past CV disease. Education level, apolipoprotein E ε4 allele (APOE4, ethnicity, and age were modeled as predictors of latent class membership. The association between class membership, characterizing CV risk profiles, and performance on five cognitive factors was examined. A supervised random forest algorithm with a 10-fold cross-validation estimator was used to test accuracy of CV risk classification.The best-fitting model generated two distinct phenotypic classes of CV risk 62% of women were "low-risk" and 38% "high-risk". Women classified as low-risk outperformed high-risk women on language and mental flexibility tasks (p = 0.008 and a global measure of cognition (p = 0.029. Women with a college degree or above were more likely to be in the low-risk class (OR = 1.595, p = 0.044. Older age and a Hispanic ethnicity increased the probability of being at high-risk (OR = 1.140, p = 0.002; OR = 2.622, p = 0.012; respectively. The prevalence rate of APOE-ε4 was higher in the high-risk class compared with rates in the low-risk class.Among recently menopausal women, significant heterogeneity in CV risk is associated with education level, age, ethnicity, and genetic indicators. The model-based latent classes were also associated with cognitive function. These differences may point to phenotypes for CV disease risk. Evaluating

Motif-Based Text Mining of Microbial Metagenome Redundancy Profiling Data for Disease Classification

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Yin Wang

2016-01-01

Full Text Available Background. Text data of 16S rRNA are informative for classifications of microbiota-associated diseases. However, the raw text data need to be systematically processed so that features for classification can be defined/extracted; moreover, the high-dimension feature spaces generated by the text data also pose an additional difficulty. Results. Here we present a Phylogenetic Tree-Based Motif Finding algorithm (PMF to analyze 16S rRNA text data. By integrating phylogenetic rules and other statistical indexes for classification, we can effectively reduce the dimension of the large feature spaces generated by the text datasets. Using the retrieved motifs in combination with common classification methods, we can discriminate different samples of both pneumonia and dental caries better than other existing methods. Conclusions. We extend the phylogenetic approaches to perform supervised learning on microbiota text data to discriminate the pathological states for pneumonia and dental caries. The results have shown that PMF may enhance the efficiency and reliability in analyzing high-dimension text data.

Dentistry and Ayurveda - IV: Classification and management of common oral diseases

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Amruthesh Sunita

2008-01-01

Full Text Available This article, the fourth in the series titled ′Dentistry and Ayurveda,′ describes in brief the panchakarma therapy, which is a distinctive feature of the Ayurvedic method of detoxifying the body. The various therapies and medicines used in Ayurveda have been elaborated. Further, an attempt has been made to correlate dental diseases in Ayurveda with the modern-day classification, clinical features, and management.

Chagas disease risk in Texas.

Science.gov (United States)

Sarkar, Sahotra; Strutz, Stavana E; Frank, David M; Rivaldi, Chissa-Louise; Sissel, Blake; Sánchez-Cordero, Victor

2010-10-05

Chagas disease, caused by Trypanosoma cruzi, remains a serious public health concern in many areas of Latin America, including México. It is also endemic in Texas with an autochthonous canine cycle, abundant vectors (Triatoma species) in many counties, and established domestic and peridomestic cycles which make competent reservoirs available throughout the state. Yet, Chagas disease is not reportable in Texas, blood donor screening is not mandatory, and the serological profiles of human and canine populations remain unknown. The purpose of this analysis was to provide a formal risk assessment, including risk maps, which recommends the removal of these lacunae. The spatial relative risk of the establishment of autochthonous Chagas disease cycles in Texas was assessed using a five-stage analysis. 1. Ecological risk for Chagas disease was established at a fine spatial resolution using a maximum entropy algorithm that takes as input occurrence points of vectors and environmental layers. The analysis was restricted to triatomine vector species for which new data were generated through field collection and through collation of post-1960 museum records in both México and the United States with sufficiently low georeferenced error to be admissible given the spatial resolution of the analysis (1 arc-minute). The new data extended the distribution of vector species to 10 new Texas counties. The models predicted that Triatoma gerstaeckeri has a large region of contiguous suitable habitat in the southern United States and México, T. lecticularia has a diffuse suitable habitat distribution along both coasts of the same region, and T. sanguisuga has a disjoint suitable habitat distribution along the coasts of the United States. The ecological risk is highest in south Texas. 2. Incidence-based relative risk was computed at the county level using the Bayesian Besag-York-Mollié model and post-1960 T. cruzi incidence data. This risk is concentrated in south Texas. 3. The

Chagas disease risk in Texas.

Directory of Open Access Journals (Sweden)

Sahotra Sarkar

Full Text Available BACKGROUND: Chagas disease, caused by Trypanosoma cruzi, remains a serious public health concern in many areas of Latin America, including México. It is also endemic in Texas with an autochthonous canine cycle, abundant vectors (Triatoma species in many counties, and established domestic and peridomestic cycles which make competent reservoirs available throughout the state. Yet, Chagas disease is not reportable in Texas, blood donor screening is not mandatory, and the serological profiles of human and canine populations remain unknown. The purpose of this analysis was to provide a formal risk assessment, including risk maps, which recommends the removal of these lacunae. METHODS AND FINDINGS: The spatial relative risk of the establishment of autochthonous Chagas disease cycles in Texas was assessed using a five-stage analysis. 1. Ecological risk for Chagas disease was established at a fine spatial resolution using a maximum entropy algorithm that takes as input occurrence points of vectors and environmental layers. The analysis was restricted to triatomine vector species for which new data were generated through field collection and through collation of post-1960 museum records in both México and the United States with sufficiently low georeferenced error to be admissible given the spatial resolution of the analysis (1 arc-minute. The new data extended the distribution of vector species to 10 new Texas counties. The models predicted that Triatoma gerstaeckeri has a large region of contiguous suitable habitat in the southern United States and México, T. lecticularia has a diffuse suitable habitat distribution along both coasts of the same region, and T. sanguisuga has a disjoint suitable habitat distribution along the coasts of the United States. The ecological risk is highest in south Texas. 2. Incidence-based relative risk was computed at the county level using the Bayesian Besag-York-Mollié model and post-1960 T. cruzi incidence data. This

Update and validation of the Society for Vascular Surgery wound, ischemia, and foot infection threatened limb classification system.

Science.gov (United States)

Mills, Joseph L

2014-03-01

The diagnosis of critical limb ischemia, first defined in 1982, was intended to delineate a patient cohort with a threatened limb and at risk for amputation due to severe peripheral arterial disease. The influence of diabetes and its associated neuropathy on the pathogenesis-threatened limb was an excluded comorbidity, despite its known contribution to amputation risk. The Fontaine and Rutherford classifications of limb ischemia severity have also been used to predict amputation risk and the likelihood of tissue healing. The dramatic increase in the prevalence of diabetes mellitus and the expanding techniques of arterial revascularization has prompted modification of peripheral arterial disease classification schemes to improve outcomes analysis for patients with threatened limbs. The diabetic patient with foot ulceration and infection is at risk for limb loss, with abnormal arterial perfusion as only one determinant of outcome. The wound extent and severity of infection also impact the likelihood of limb loss. To better predict amputation risk, the Society for Vascular Surgery Lower Extremity Guidelines Committee developed a classification of the threatened lower extremity that reflects these important clinical considerations. Risk stratification is based on three major factors that impact amputation risk and clinical management: wound, ischemia, and foot infection. This classification scheme is relevant to the patient with critical limb ischemia because many are also diabetic. Implementation of the wound, ischemia, and foot infection classification system in critical limb ischemia patients is recommended and should assist the clinician in more meaningful analysis of outcomes for various forms of wound and arterial revascularizations procedures required in this challenging, patient population. Copyright © 2014 Elsevier Inc. All rights reserved.

Feasibility Study of Land Cover Classification Based on Normalized Difference Vegetation Index for Landslide Risk Assessment

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Thilanki Dahigamuwa

2016-10-01

Full Text Available Unfavorable land cover leads to excessive damage from landslides and other natural hazards, whereas the presence of vegetation is expected to mitigate rainfall-induced landslide potential. Hence, unexpected and rapid changes in land cover due to deforestation would be detrimental in landslide-prone areas. Also, vegetation cover is subject to phenological variations and therefore, timely classification of land cover is an essential step in effective evaluation of landslide hazard potential. The work presented here investigates methods that can be used for land cover classification based on the Normalized Difference Vegetation Index (NDVI, derived from up-to-date satellite images, and the feasibility of application in landslide risk prediction. A major benefit of this method would be the eventual ability to employ NDVI as a stand-alone parameter for accurate assessment of the impact of land cover in landslide hazard evaluation. An added benefit would be the timely detection of undesirable practices such as deforestation using satellite imagery. A landslide-prone region in Oregon, USA is used as a model for the application of the classification method. Five selected classification techniques—k-nearest neighbor, Gaussian support vector machine (GSVM, artificial neural network, decision tree and quadratic discriminant analysis support the viability of the NDVI-based land cover classification. Finally, its application in landslide risk evaluation is demonstrated.

Hand eczema classification

DEFF Research Database (Denmark)

Diepgen, T L; Andersen, Klaus Ejner; Brandao, F M

2008-01-01

of the disease is rarely evidence based, and a classification system for different subdiagnoses of hand eczema is not agreed upon. Randomized controlled trials investigating the treatment of hand eczema are called for. For this, as well as for clinical purposes, a generally accepted classification system...... A classification system for hand eczema is proposed. Conclusions It is suggested that this classification be used in clinical work and in clinical trials....

Breathing (and Coding?) a Bit Easier: Changes to International Classification of Disease Coding for Pulmonary Hypertension.

Science.gov (United States)

Mathai, Stephen C; Mathew, Sherin

2018-04-20

International Classification of Disease (ICD) coding system is broadly utilized by healthcare providers, hospitals, healthcare payers, and governments to track health trends and statistics at the global, national, and local levels and to provide a reimbursement framework for medical care based upon diagnosis and severity of illness. The current iteration of the ICD system, ICD-10, was implemented in 2015. While many changes to the prior ICD-9 system were included in the ICD-10 system, the newer revision failed to adequately reflect advances in the clinical classification of certain diseases such as pulmonary hypertension (PH). Recently, a proposal to modify the ICD-10 codes for PH was considered and ultimately adopted for inclusion as updates to ICD-10 coding system. While these revisions better reflect the current clinical classification of PH, in the future, further changes should be considered to improve the accuracy and ease of coding for all forms of PH. Copyright © 2018. Published by Elsevier Inc.

Mortality Risk Prediction in Scleroderma-Related Interstitial Lung Disease: The SADL Model.

Science.gov (United States)

Morisset, Julie; Vittinghoff, Eric; Elicker, Brett M; Hu, Xiaowen; Le, Stephanie; Ryu, Jay H; Jones, Kirk D; Haemel, Anna; Golden, Jeffrey A; Boin, Francesco; Ley, Brett; Wolters, Paul J; King, Talmadge E; Collard, Harold R; Lee, Joyce S

2017-11-01

Interstitial lung disease (ILD) is an important cause of morbidity and mortality in patients with scleroderma (Scl). Risk prediction and prognostication in patients with Scl-ILD are challenging because of heterogeneity in the disease course. We aimed to develop a clinical mortality risk prediction model for Scl-ILD. Patients with Scl-ILD were identified from two ongoing longitudinal cohorts: 135 patients at the University of California, San Francisco (derivation cohort) and 90 patients at the Mayo Clinic (validation cohort). Using these two separate cohorts, a mortality risk prediction model was developed and validated by testing every potential candidate Cox model, each including three or four variables of a possible 19 clinical predictors, for time to death. Model discrimination was assessed using the C-index. Three variables were included in the final risk prediction model (SADL): ever smoking history, age, and diffusing capacity of the lung for carbon monoxide (% predicted). This continuous model had similar performance in the derivation (C-index, 0.88) and validation (C-index, 0.84) cohorts. We created a point scoring system using the combined cohort (C-index, 0.82) and used it to identify a classification with low, moderate, and high mortality risk at 3 years. The SADL model uses simple, readily accessible clinical variables to predict all-cause mortality in Scl-ILD. Copyright © 2017 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: Comparison to a Bayesian classifier

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Chang, Yongjun; Lim, Jonghyuck; Kim, Namkug; Seo, Joon Beom [Department of Radiology, University of Ulsan College of Medicine, 388-1 Pungnap2-dong, Songpa-gu, Seoul 138-736 (Korea, Republic of); Lynch, David A. [Department of Radiology, National Jewish Medical and Research Center, Denver, Colorado 80206 (United States)

2013-05-15

Purpose: To investigate the effect of using different computed tomography (CT) scanners on the accuracy of high-resolution CT (HRCT) images in classifying regional disease patterns in patients with diffuse lung disease, support vector machine (SVM) and Bayesian classifiers were applied to multicenter data. Methods: Two experienced radiologists marked sets of 600 rectangular 20 Multiplication-Sign 20 pixel regions of interest (ROIs) on HRCT images obtained from two scanners (GE and Siemens), including 100 ROIs for each of local patterns of lungs-normal lung and five of regional pulmonary disease patterns (ground-glass opacity, reticular opacity, honeycombing, emphysema, and consolidation). Each ROI was assessed using 22 quantitative features belonging to one of the following descriptors: histogram, gradient, run-length, gray level co-occurrence matrix, low-attenuation area cluster, and top-hat transform. For automatic classification, a Bayesian classifier and a SVM classifier were compared under three different conditions. First, classification accuracies were estimated using data from each scanner. Next, data from the GE and Siemens scanners were used for training and testing, respectively, and vice versa. Finally, all ROI data were integrated regardless of the scanner type and were then trained and tested together. All experiments were performed based on forward feature selection and fivefold cross-validation with 20 repetitions. Results: For each scanner, better classification accuracies were achieved with the SVM classifier than the Bayesian classifier (92% and 82%, respectively, for the GE scanner; and 92% and 86%, respectively, for the Siemens scanner). The classification accuracies were 82%/72% for training with GE data and testing with Siemens data, and 79%/72% for the reverse. The use of training and test data obtained from the HRCT images of different scanners lowered the classification accuracy compared to the use of HRCT images from the same scanner. For

A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: Comparison to a Bayesian classifier

International Nuclear Information System (INIS)

Chang, Yongjun; Lim, Jonghyuck; Kim, Namkug; Seo, Joon Beom; Lynch, David A.

2013-01-01

Purpose: To investigate the effect of using different computed tomography (CT) scanners on the accuracy of high-resolution CT (HRCT) images in classifying regional disease patterns in patients with diffuse lung disease, support vector machine (SVM) and Bayesian classifiers were applied to multicenter data. Methods: Two experienced radiologists marked sets of 600 rectangular 20 × 20 pixel regions of interest (ROIs) on HRCT images obtained from two scanners (GE and Siemens), including 100 ROIs for each of local patterns of lungs—normal lung and five of regional pulmonary disease patterns (ground-glass opacity, reticular opacity, honeycombing, emphysema, and consolidation). Each ROI was assessed using 22 quantitative features belonging to one of the following descriptors: histogram, gradient, run-length, gray level co-occurrence matrix, low-attenuation area cluster, and top-hat transform. For automatic classification, a Bayesian classifier and a SVM classifier were compared under three different conditions. First, classification accuracies were estimated using data from each scanner. Next, data from the GE and Siemens scanners were used for training and testing, respectively, and vice versa. Finally, all ROI data were integrated regardless of the scanner type and were then trained and tested together. All experiments were performed based on forward feature selection and fivefold cross-validation with 20 repetitions. Results: For each scanner, better classification accuracies were achieved with the SVM classifier than the Bayesian classifier (92% and 82%, respectively, for the GE scanner; and 92% and 86%, respectively, for the Siemens scanner). The classification accuracies were 82%/72% for training with GE data and testing with Siemens data, and 79%/72% for the reverse. The use of training and test data obtained from the HRCT images of different scanners lowered the classification accuracy compared to the use of HRCT images from the same scanner. For integrated ROI

Constructing criticality by classification

DEFF Research Database (Denmark)

Machacek, Erika

2017-01-01

" in the bureaucratic practice of classification: Experts construct material criticality in assessments as they allot information on the materials to the parameters of the assessment framework. In so doing, they ascribe a new set of connotations to the materials, namely supply risk, and their importance to clean energy......, legitimizing a criticality discourse.Specifically, the paper introduces a typology delineating the inferences made by the experts from their produced recommendations in the classification of rare earth element criticality. The paper argues that the classification is a specific process of constructing risk....... It proposes that the expert bureaucratic practice of classification legitimizes (i) the valorisation that was made in the drafting of the assessment framework for the classification, and (ii) political operationalization when enacted that might have (non-)distributive implications for the allocation of public...

The impact of the latest classification system of benign vulvar diseases on the management of women with chronic vulvar pruritus

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Kiymet Handan Kelekci

2011-01-01

Full Text Available Background: The management of women with chronic benign vulvar dermatoses has been one of the most difficult and challenging aspects of women′s healthcare for a long time. Aim: Our aim was to compare the ability to approach the specific diagnosis of nonneoplastic and noninfectious vulva diseases, between the new classification system and the old classification system. Methods: One hundred women with chronic vulvar pruritus were included in the study. After detailed examination of the vulva, all visible lesions were biopsied, with normal skin included. All specimens was sent for dermatopathology and examined simultaneously under a binocular microscope by two pathologists. Specific diagnosis if possible and histopathological findings were classified according to both the 1987 and 2006 International Society for the Study of Vulvar Diseases (ISSVD classifications. The ratios that were able to be approached on the specific diagnosis, with the aid the two classification systems, were compared. Results: Specific clinical diagnosis by both pathological and after using clinicopathological correlation was possible in 69 out of 91 patients (75.8% according to the 1987 ISSVD classification, and in 81 out of 91 patients (89.0% according to the ISSVD 2006 classification system. The difference in the clinical diagnosis ratios between the two classification systems was statistically significant ( P < 0.05. In a subgroup of women without specific diagnosis at the time of pathological examination, clinical diagnosis was made in 28 out of 50 women (56% after using the clinicopathological correlation according to the ISSVD 1987 classification, whereas, specific diagnosis was made in 39 out of 49 (79.6% women after using the clinicopathological correlation according to the ISSVD 2006 classification. The difference was statistically significant in terms of the ratio of the ability to achieve a specific diagnosis ( P < 0.01. Conclusion: ISSVD 2006 classification of

Diet and risk of inflammatory bowel disease

DEFF Research Database (Denmark)

Andersen, Vibeke; Olsen, Anja; Carbonnel, Franck

2012-01-01

Background: A better understanding of the environmental factors leading to inflammatory bowel disease should help to prevent occurrence of the disease and its relapses. Aim: To review current knowledge on dietary risk factors for inflammatory bowel disease. Methods: The PubMed, Medline and Cochrane...... Library were searched for studies on diet and risk of inflammatory bowel disease. Results: Established non-diet risk factors include family predisposition, smoking, appendectomy, and antibiotics. Retrospective case–control studies are encumbered with methodological problems. Prospective studies...... on European cohorts, mainly including middle-aged adults, suggest that a diet high in protein from meat and fish is associated with a higher risk of inflammatory bowel disease. Intake of the n-6 polyunsaturated fatty acid linoleic acid may confer risk of ulcerative colitis, whereas n-3 polyunsaturated fatty...

The effects of clinical, epidemiological and economic aspects of changes in classification criteria of selected rheumatic diseases

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Aleksander J. Owczarek

2014-06-01

Full Text Available The paper presents the epidemiology and socio-economic aspects of the three most common rheumatic diseases: rheumatoid arthritis (RA, systemic lupus erythematosus (SLE and scleroderma. The incidence of rheumatic diseases in a population is estimated at 4–5%. Prevalence rate for RA in Poland is 0.45% of the adult population and is similar to the rate reported in the EU (0.49%. It is estimated that the average incidence of SLE is 40–55 per 100 thousand and that the annual incidence of systemic sclerosis is 19–35 cases per million (depending on the country. Nearly 18% of all hospital admissions in Poland are associated with rheumatic diseases. The introduction of new classification criteria for rheumatoid arthritis, allowing classification of the early forms of the disease and their use in clinical practice will probably change the assessment of incidence of this disease in the population.

Diffusion-weighted magnetic resonance imaging of thymoma: ability of the Apparent Diffusion Coefficient in predicting the World Health Organization (WHO) classification and the Masaoka-Koga staging system and its prognostic significance on disease-free survival

International Nuclear Information System (INIS)

Priola, Adriano Massimiliano; Priola, Sandro Massimo; Gned, Dario; Ducco, Lorena; Veltri, Andrea; Giraudo, Maria Teresa; Fornari, Alessandro; Ferrero, Bruno

2016-01-01

To evaluate the usefulness of diffusion-weighted magnetic resonance for distinguishing thymomas according to WHO and Masaoka-Koga classifications and in predicting disease-free survival (DFS) by using the apparent diffusion coefficient (ADC). Forty-one patients were grouped based on WHO (low-risk vs. high-risk) and Masaoka-Koga (early vs. advanced) classifications. For prognosis, seven patients with recurrence at follow-up were grouped separately from healthy subjects. Differences on ADC levels between groups were tested using Student-t testing. Logistic regression models and areas under the ROC curve (AUROC) were estimated. Mean ADC values were different between groups of WHO (low-risk = 1.58 ± 0.20 x 10 -3 mm 2 /sec; high-risk = 1.21 ± 0.23 x 10 -3 mm 2 /sec; p < 0.0001) and Masaoka-Koga (early = 1.43 ± 0.26 x 10 -3 mm 2 /sec; advanced = 1.31 ± 0.31 x 10 -3 mm 2 /sec; p = 0.016) classifications. Mean ADC of type-B3 (1.05 ± 0.17 x 10 -3 mm 2 /sec) was lower than type-B2 (1.32 ± 0.20 x 10 -3 mm 2 /sec; p = 0.023). AUROC in discriminating groups was 0.864 for WHO classification (cut-point = 1.309 x 10 -3 mm 2 /sec; accuracy = 78.1 %) and 0.730 for Masaoka-Koga classification (cut-point = 1.243 x 10 -3 mm 2 /sec; accuracy = 73.2 %). Logistic regression models and two-way ANOVA were significant for WHO classification (odds ratio[OR] = 0.93, p = 0.007; p < 0.001), but not for Masaoka-Koga classification (OR = 0.98, p = 0.31; p = 0.38). ADC levels were significantly associated with DFS recurrence rate being higher for patients with ADC ≤ 1.299 x 10 -3 mm 2 /sec (p = 0.001; AUROC, 0.834; accuracy = 78.0 %). ADC helps to differentiate high-risk from low-risk thymomas and discriminates the more aggressive type-B3. Primary tumour ADC is a prognostic indicator of recurrence. (orig.)

A novel risk score to predict cardiovascular disease risk in national populations (Globorisk)

DEFF Research Database (Denmark)

Hajifathalian, Kaveh; Ueda, Peter; Lu, Yuan

2015-01-01

BACKGROUND: Treatment of cardiovascular risk factors based on disease risk depends on valid risk prediction equations. We aimed to develop, and apply in example countries, a risk prediction equation for cardiovascular disease (consisting here of coronary heart disease and stroke) that can be reca...

Risk of Parkinson's disease following zolpidem use: a retrospective, population-based cohort study.

Science.gov (United States)

Huang, Hui-Chun; Tsai, Chon-Haw; Muo, Chih-Hsin; Lin, Kang-Hsu; Lu, Ming-Kuei; Sung, Fung-Chang; Kao, Chia-Hung

2015-01-01

To evaluate the influence of long-term zolpidem use on the incidence of developing Parkinson's disease. 2,961 subjects who used zolpidem for the first time longer than 3 months between 1998 and 2000 were identified in the National Health Insurance system of Taiwan. Subjects without a history of zolpidem use were randomly selected as a comparison cohort and frequency matched to zolpidem users based on age, sex, and index date. The diagnosis of Parkinson's disease was based on the criteria of the International Classification of Diseases, Ninth Revision, Clinical Modification. Its incidence until the end of 2009 was calculated and its hazard ratios (HRs) and 95% CIs were estimated using Cox proportional hazards regression models and Kaplan-Meier analysis. The overall incidence of Parkinson's disease was greater among zolpidem users than in the comparison cohort (HR = 1.88; 95% CI, 1.45-2.45). However, there was no difference in Parkinson's disease incidence between these 2 cohorts after 5 years of observation. The risk of Parkinson's disease increased with increasing zolpidem dose, with an HR of 0.70 for low-dose users (zolpidem only (HR = 2.35; 95% CI, 1.66-3.33) compared to those using benzodiazepines only (HR = 1.31; 95% CI, 0.91-1.90). By stratified analysis, zolpidem use with concurrent depression (HR = 4.79) increased the risk of Parkinson's disease compared to that of zolpidem users without concurrent depression. Zolpidem use might unmask preclinical Parkinson's disease, especially in patients with depression. However, large population-based, unbiased, randomized trials are warranted to confirm this finding. © Copyright 2015 Physicians Postgraduate Press, Inc.

Automatic classification of 6-month-old infants at familial risk for language-based learning disorder using a support vector machine.

Science.gov (United States)

Zare, Marzieh; Rezvani, Zahra; Benasich, April A

2016-07-01

This study assesses the ability of a novel, "automatic classification" approach to facilitate identification of infants at highest familial risk for language-learning disorders (LLD) and to provide converging assessments to enable earlier detection of developmental disorders that disrupt language acquisition. Network connectivity measures derived from 62-channel electroencephalogram (EEG) recording were used to identify selected features within two infant groups who differed on LLD risk: infants with a family history of LLD (FH+) and typically-developing infants without such a history (FH-). A support vector machine was deployed; global efficiency and global and local clustering coefficients were computed. A novel minimum spanning tree (MST) approach was also applied. Cross-validation was employed to assess the resultant classification. Infants were classified with about 80% accuracy into FH+ and FH- groups with 89% specificity and precision of 92%. Clustering patterns differed by risk group and MST network analysis suggests that FH+ infants' EEG complexity patterns were significantly different from FH- infants. The automatic classification techniques used here were shown to be both robust and reliable and should provide valuable information when applied to early identification of risk or clinical groups. The ability to identify infants at highest risk for LLD using "automatic classification" strategies is a novel convergent approach that may facilitate earlier diagnosis and remediation. Copyright © 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Feelings of nurses in the reception and risk classification evaluation in the emergency room

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Andressa Midori Sakai

2016-05-01

Full Text Available Objective: to reveal feelings of nurses who host with risk assessment and classification in an emergency room of a pubic hospital. Methods: it is a qualitative research approach with 12 nurses interviewed. The data were analyzed, categorized and discussed according to the theoretical framework of work psychodynamics. Results: the nurses expressed feelings of satisfaction in meeting the user needs assistance. They reported feeling as fear, stress and fatigue due to the sharp pace of work, gaps in health care network and situations of violence. They highlighted coping strategies to reduce the burden of this assignment, how to share the completion of the screening with the nursing staff. Conclusion: the host with risk assessment and classification favors the autonomy of nurses and provide greater accountability to this professional users, but the limitations of available resources to solve the complaint of patients generate physical and psychological burden to this worker.

Feelings of nurses in the reception and risk classification evaluation in the emergency room

Directory of Open Access Journals (Sweden)

Andressa Midori Sakai

2016-01-01

Full Text Available Objective: to reveal feelings of nurses who host with risk assessment and classification in an emergency room of a pubic hospital. Methods: it is a qualitative research approach with 12 nurses interviewed. The data were analyzed, categorized and discussed according to the theoretical framework of work psychodynamics. Results: the nurses expressed feelings of satisfaction in meeting the user needs assistance. They reported feeling as fear, stress and fatigue due to the sharp pace of work, gaps in health care network and situations of violence. They highlighted coping strategies to reduce the burden of this assignment, how to share the completion of the screening with the nursing staff. Conclusion: the host with risk assessment and classification favors the autonomy of nurses and provide greater accountability to this professional users, but the limitations of available resources to solve the complaint of patients generate physical and psychological burden to this worker.

Complicated left-sided native valve endocarditis in adults: risk classification for mortality.

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Hasbun, Rodrigo; Vikram, Holenarasipur R; Barakat, Lydia A; Buenconsejo, Joan; Quagliarello, Vincent J

2003-04-16

Complicated left-sided native valve endocarditis causes significant morbidity and mortality in adults. Lack of valid data regarding estimation of prognosis makes management of this condition difficult. To derive and externally validate a prognostic classification system for adults with complicated left-sided native valve endocarditis. Retrospective observational cohort study conducted from January 1990 to January 2000 at 7 Connecticut hospitals among 513 patients older than 16 years who experienced complicated left-sided native valve endocarditis and who were divided into derivation (n = 259) and validation (n = 254) cohorts. All-cause mortality at 6 months after baseline. In the derivation and validation cohorts, the 6-month mortality rates were 25% and 26%, respectively. Five baseline features were independently associated with 6-month mortality (comorbidity [P =.03], abnormal mental status [P =.02], moderate to severe congestive heart failure [P =.01], bacterial etiology other than viridans streptococci [Pclassification system. In the derivation cohort, patients were classified into 4 groups with increasing risk for 6-month mortality: 5%, 15%, 31%, and 59% (Pendocarditis can be accurately risk stratified using baseline features into 4 groups of prognostic severity. This prognostic classification system might be useful for facilitating management decisions.

Obesity and Cardiovascular Disease: a Risk Factor or a Risk Marker?

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Mandviwala, Taher; Khalid, Umair; Deswal, Anita

2016-05-01

In the USA, 69 % of adults are either overweight or obese and 35 % are obese. Obesity is associated with an increased incidence of various cardiovascular disorders. Obesity is a risk marker for cardiovascular disease, in that it is associated with a much higher prevalence of comorbidities such as diabetes, hypertension, and metabolic syndrome, which then increase the risk for cardiovascular disease. However, in addition, obesity may also be an independent risk factor for the development of cardiovascular disease. Furthermore, although obesity has been shown to be an independent risk factor for several cardiovascular diseases, it is often associated with improved survival once the diagnosis of the cardiovascular disease has been made, leading to the term "obesity paradox." Several pathways linking obesity and cardiovascular disease have been described. In this review, we attempt to summarize the complex relationship between obesity and cardiovascular disorders, in particular coronary atherosclerosis, heart failure, and atrial fibrillation.

Association between nutritional status and Modic classification in degenerative disc disease.

Science.gov (United States)

Seyithanoglu, Hakan; Aydin, Teoman; Taşpınar, Ozgur; Camli, Adil; Kiziltan, Huriye; Eris, Ali Hikmet; Hocaoglu, Ilknur Turk; Ozder, Aclan; Denizli, Ebru; Kepekci, Muge; Keskin, Yasar; Mutluer, Ahmet Serdar

2016-04-01

[Purpose] This study was conducted to examine the association between Modic classification and the eating habits in patients with degenerative disc disease (DDD) and to determine the influence of nutrition on disease severity. [Subjects and Methods] Sixty patients with DDD visiting a low back pain outpatient clinic were enrolled. Through face-to-face interviews, they completed questionnaires regarding their demographics, disease activity, smoking and alcohol use, concomitant diseases, disease duration, and nutritional status.Exclusion criteria were age 65 years, other comorbidities, missing MRI data, and inability to speak Turkish. [Results] Forty patients were finally included in the study. The frequency with which they consumed water, salt, fast food, eggs, milk, yogurt, cheese, whole wheat bread, white bread, butter, and margarine was recorded. A weak negative correlation was observed between the Modic types and fish and egg consumption. [Conclusion] Modic changes, which indicate the severity of DDD, seem to be correlated to patients' dietary habits. However, studies with comparison groups and larger samples are needed to confirm our promising results before any cause-and-effect relationship can be proposed.

Classification of coronary artery tissues using optical coherence tomography imaging in Kawasaki disease

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Abdolmanafi, Atefeh; Prasad, Arpan Suravi; Duong, Luc; Dahdah, Nagib

2016-03-01

Intravascular imaging modalities, such as Optical Coherence Tomography (OCT) allow nowadays improving diagnosis, treatment, follow-up, and even prevention of coronary artery disease in the adult. OCT has been recently used in children following Kawasaki disease (KD), the most prevalent acquired coronary artery disease during childhood with devastating complications. The assessment of coronary artery layers with OCT and early detection of coronary sequelae secondary to KD is a promising tool for preventing myocardial infarction in this population. More importantly, OCT is promising for tissue quantification of the inner vessel wall, including neo intima luminal myofibroblast proliferation, calcification, and fibrous scar deposits. The goal of this study is to classify the coronary artery layers of OCT imaging obtained from a series of KD patients. Our approach is focused on developing a robust Random Forest classifier built on the idea of randomly selecting a subset of features at each node and based on second- and higher-order statistical texture analysis which estimates the gray-level spatial distribution of images by specifying the local features of each pixel and extracting the statistics from their distribution. The average classification accuracy for intima and media are 76.36% and 73.72% respectively. Random forest classifier with texture analysis promises for classification of coronary artery tissue.

Thermographic image analysis for classification of ACL rupture disease, bone cancer, and feline hyperthyroid, with Gabor filters

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Alvandipour, Mehrdad; Umbaugh, Scott E.; Mishra, Deependra K.; Dahal, Rohini; Lama, Norsang; Marino, Dominic J.; Sackman, Joseph

2017-05-01

Thermography and pattern classification techniques are used to classify three different pathologies in veterinary images. Thermographic images of both normal and diseased animals were provided by the Long Island Veterinary Specialists (LIVS). The three pathologies are ACL rupture disease, bone cancer, and feline hyperthyroid. The diagnosis of these diseases usually involves radiology and laboratory tests while the method that we propose uses thermographic images and image analysis techniques and is intended for use as a prescreening tool. Images in each category of pathologies are first filtered by Gabor filters and then various features are extracted and used for classification into normal and abnormal classes. Gabor filters are linear filters that can be characterized by the two parameters wavelength λ and orientation θ. With two different wavelength and five different orientations, a total of ten different filters were studied. Different combinations of camera views, filters, feature vectors, normalization methods, and classification methods, produce different tests that were examined and the sensitivity, specificity and success rate for each test were produced. Using the Gabor features alone, sensitivity, specificity, and overall success rates of 85% for each of the pathologies was achieved.

Classification and Characteristics of Pain Associated with Parkinson’s Disease

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Marcelo Rezende Young Blood

2016-01-01

Full Text Available Neuropsychiatric symptoms and pain are among the most common nonmotor symptoms of Parkinson’s disease (PD. The correlation between pain and PD has been recognized since its classic descriptions. Pain occurs in about 60% of PD patients, two to three times more frequent in this population than in age matched healthy individuals. It is an early and potentially disabling symptom that can precede motor symptoms by several years. The lower back and lower extremities are the most commonly affected areas. The most used classification for pain in PD defines musculoskeletal, dystonic, central, or neuropathic/radicular forms. Its different clinical characteristics, variable relationship with motor symptoms, and inconsistent response to dopaminergic drugs suggest that the mechanism underlying pain in PD is complex and multifaceted, involving the peripheral nervous system, generation and amplification of pain by motor symptoms, and neurodegeneration of areas related to pain modulation. Although pain in DP is common and a significant source of disability, its clinical characteristics, pathophysiology, classification, and management remain to be defined.

Divorce and risk of hospital-diagnosed infectious diseases.

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Nielsen, Nete Munk; Davidsen, Rie B; Hviid, Anders; Wohlfahrt, Jan

2014-11-01

Although, divorce is considered to have a negative impact on morbidity, very little is known concerning exposure to divorce and risk of infectious diseases. We aimed to investigate the association between divorce and subsequent hospital contacts with infectious diseases. We performed a nation-wide cohort study, including all Danish men and women (n≈5.6 million) alive on the 1 January 1982 or later, and followed them for infectious disease diagnosed in hospital settings from 1982 to 2010. The association between divorce and risk of infectious diseases was evaluated through rate ratios (RRs) comparing incidence rates of infectious diseases between divorced and married pesons. Compared with married persons, divorced persons were overall at a 1.48 fold (RR=1.48 (95% CI: 1.47-1.50)) increased risk of hospital-diagnosed infectious diseases (RR adjusted for sex, age, period, income and education). The risk of infectious diseases was slightly more pronounced for divorced women (RR=1.54 (1.52-1.56)) than divorced men ((RR=1.42 (1.41-1.44)). The increased risk remained almost unchanged even more than 15 years after the divorce. Young age at divorce, short duration of marriage and number of divorces further increased the risk of infectious diseases, whereas number of children at time of divorce had no impact on risk of hospital-diagnosed infectious diseases following the divorce. Divorce appears to have a moderate but long lasting impact on the risk of infectious diseases the underlying mechanism is unknown but shared risk factors predicting divorce and infectious diseases could contribute to our findings. © 2014 the Nordic Societies of Public Health.

Cardiovascular disease risk factors and cognitive impairment.

Science.gov (United States)

Nash, David T; Fillit, Howard

2006-04-15

The role of cardiovascular disease risk factors in the occurrence and progression of cognitive impairment has been the subject of a significant number of publications but has not achieved widespread recognition among many physicians and educated laymen. It is apparent that the active treatment of certain of these cardiovascular disease risk factors is accompanied by a reduced risk for cognitive impairment. Patients with hypertension who are treated experience fewer cardiovascular disease events as well as less cognitive impairment than similar untreated patients. Patients who exercise may present with less cognitive impairment, and obesity may increase the risk for cognitive impairment. Lipid abnormalities and genetic markers are associated with an increased risk for cardiovascular disease and cognitive impairment. Autopsy studies have demonstrated a correlation between elevated levels of cholesterol and amyloid deposition in the brain. Research has demonstrated a relation between atherosclerotic obstruction lesions in the circle of Willis and dementia. Diabetes mellitus is associated with an increased risk for cardiovascular disease and cognitive impairment. A number of nonpharmacologic factors have a role in reducing the risk for cognitive impairment. Antioxidants, fatty acids, and micronutrients may have a role, and diets rich in fruits and vegetables and other dietary approaches may improve the outlook for patients considered at risk for cognitive impairment.

Vitamin D, cardiovascular disease and risk factors

DEFF Research Database (Denmark)

Skaaby, Tea; Thuesen, Betina H.; Linneberg, Allan

2017-01-01

of vitamin D effects from a cardiovascular health perspective. It focuses on vitamin D in relation to cardiovascular disease, i.e. ischemic heart disease, and stroke; the traditional cardiovascular risk factors hypertension, abnormal blood lipids, obesity; and the emerging risk factors hyperparathyroidism......, microalbuminuria, chronic obstructive pulmonary diseases, and non-alcoholic fatty liver disease. Meta-analyses of observational studies have largely found vitamin D levels to be inversely associated with cardiovascular risk and disease. However, Mendelian randomization studies and randomized, controlled trials...... (RCTs) have not been able to consistently replicate the observational findings. Several RCTs are ongoing, and the results from these are needed to clarify whether vitamin D deficiency is a causal and reversible factor to prevent cardiovascular disease....

Physical distance, genetic relationship, age, and leprosy classification are independent risk factors for leprosy in contacts of patients with leprosy.

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Moet, F Johannes; Pahan, David; Schuring, Ron P; Oskam, Linda; Richardus, Jan H

2006-02-01

Close contacts of patients with leprosy have a higher risk of developing leprosy. Several risk factors have been identified, including genetic relationship and physical distance. Their independent contributions to the risk of developing leprosy, however, have never been sufficiently quantified. Logistic-regression analysis was performed on intake data from a prospective cohort study of 1037 patients newly diagnosed as having leprosy and their 21,870 contacts. Higher age showed an increased risk, with a bimodal distribution. Contacts of patients with paucibacillary (PB) leprosy with 2-5 lesions (PB2-5) and those with multibacillary (MB) leprosy had a higher risk than did contacts of patients with single-lesion PB leprosy. The core household group had a higher risk than other contacts living under the same roof and next-door neighbors, who again had a higher risk than neighbors of neighbors. A close genetic relationship indicated an increased risk when blood-related children, parents, and siblings were pooled together. Age of the contact, the disease classification of the index patient, and physical and genetic distance were independently associated with the risk of a contact acquiring leprosy. Contact surveys in leprosy should be not only focused on household contacts but also extended to neighbors and consanguineous relatives, especially when the patient has PB2-5 or MB leprosy.

Sjögren’s syndrome versus IgG4-related diseases – classification difficulties and treatment progress

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Anna Nowakowska-Płaza

2014-09-01

Full Text Available Sjögren’s syndrome (SS is a chronic autoimmune disorder characterized by lymphocytic infiltration in exocrine glands mainly salivary and lacrimal which affects impairment of their functions. Some patients develop extraglandular symptoms such as chronic fatigue, arthralgia, or lung, renal, central or peripheral nervous system involvement. Recent decades have brought understanding of some pathogenetic mechanisms and offered new therapeutic options by depleting B cells. Furthermore, the American College of Rheumatology proposed a new set of classification criteria based on objective symptoms. IgG4-related diseases are new nosological entities. The clinical course similarities of SS to Mikulicz’s disease (a subtype of IgG4-related disease result in diagnostic difficulties. Typical conditions of them are: an increased IgG4 level and infiltrations of parenchymal organs by plasmatic cells. This review summarizes classification difficulties, pathogenesis and treatment strategies of SS and IgG4-related diseases.

Association of Educational Attainment With Lifetime Risk of Cardiovascular Disease: The Atherosclerosis Risk in Communities Study.

Science.gov (United States)

Kubota, Yasuhiko; Heiss, Gerardo; MacLehose, Richard F; Roetker, Nicholas S; Folsom, Aaron R

2017-08-01

Estimates of lifetime risk may help raise awareness of the extent to which educational inequalities are associated with risk of cardiovascular disease (CVD). To estimate lifetime risks of CVD according to categories of educational attainment. Participants were followed from 1987 through December 31, 2013. All CVD events (coronary heart disease, heart failure, and stroke) were confirmed by physician review and International Classification of Diseases codes. A total of 13 948 whites and African Americans who were 45 to 64 years old and free of CVD at baseline were included from 4 US communities (Washington County, Maryland; Forsyth County, North Carolina; Jackson, Mississippi; and suburbs of Minneapolis, Minnesota). The data analysis was performed from June 7 to August 31, 2016. Educational attainment. We used a life table approach to estimate lifetime risks of CVD from age 45 through 85 years according to educational attainment. We adjusted for competing risks of death from underlying causes other than CVD. The sample of 13 948 participants was 56% female and 27% African American. During 269 210 person-years of follow-up, we documented 4512 CVD events and 2401 non-CVD deaths. Educational attainment displayed an inverse dose-response relation with cumulative risk of CVD, which became evident in middle age, with the most striking gap between those not completing vs completing high school. In men, lifetime risks of CVD were 59.0% (95% CI, 54.0%-64.1%) for grade school, 52.5% (95% CI, 47.7%-56.8%) for high school education without graduation, 50.9% (95% CI, 47.3%-53.9%) for high school graduation, 47.2% (95% CI, 41.5%-52.5%) for vocational school, 46.4% (95% CI, 42.8%-49.6%) for college with or without graduation, and 42.2% (95% CI, 36.6%-47.0%) for graduate/professional school; in women, 50.8% (95% CI, 45.7%-55.8%), 49.3% (95% CI, 45.1%-53.1%), 36.3% (95% CI, 33.4%-39.1%), 32.2% (95% CI, 26.0%-37.3%), 32.8% (95% CI, 29.1%-35.9%), and 28.0% (95% CI, 21

Estimating local scaling properties for the classification of interstitial lung disease patterns

Science.gov (United States)

Huber, Markus B.; Nagarajan, Mahesh B.; Leinsinger, Gerda; Ray, Lawrence A.; Wismueller, Axel

2011-03-01

Local scaling properties of texture regions were compared in their ability to classify morphological patterns known as 'honeycombing' that are considered indicative for the presence of fibrotic interstitial lung diseases in high-resolution computed tomography (HRCT) images. For 14 patients with known occurrence of honeycombing, a stack of 70 axial, lung kernel reconstructed images were acquired from HRCT chest exams. 241 regions of interest of both healthy and pathological (89) lung tissue were identified by an experienced radiologist. Texture features were extracted using six properties calculated from gray-level co-occurrence matrices (GLCM), Minkowski Dimensions (MDs), and the estimation of local scaling properties with Scaling Index Method (SIM). A k-nearest-neighbor (k-NN) classifier and a Multilayer Radial Basis Functions Network (RBFN) were optimized in a 10-fold cross-validation for each texture vector, and the classification accuracy was calculated on independent test sets as a quantitative measure of automated tissue characterization. A Wilcoxon signed-rank test was used to compare two accuracy distributions including the Bonferroni correction. The best classification results were obtained by the set of SIM features, which performed significantly better than all the standard GLCM and MD features (p < 0.005) for both classifiers with the highest accuracy (94.1%, 93.7%; for the k-NN and RBFN classifier, respectively). The best standard texture features were the GLCM features 'homogeneity' (91.8%, 87.2%) and 'absolute value' (90.2%, 88.5%). The results indicate that advanced texture features using local scaling properties can provide superior classification performance in computer-assisted diagnosis of interstitial lung diseases when compared to standard texture analysis methods.

Autoimmune disease and risk for Parkinson disease A population-based case-control study

DEFF Research Database (Denmark)

Rugbjerg, K.; Friis, S.; Ritz, B.

2009-01-01

Objective: Inflammatory mediators are increased in autoimmune diseases and may activate microglia and might cause an inflammatory state and degeneration of dopaminergic neurons in the brain. Thus, we evaluated whether having an autoimmune disease increases the risk for developing Parkinson disease...... do not support the hypothesis that autoimmune diseases increase the risk for Parkinson disease. The decreased risk observed among patients with rheumatoid arthritis might be explained by underdiagnosis of movement disorders such as Parkinson disease in this patient group or by a protective effect...

Targeted Local Support Vector Machine for Age-Dependent Classification.

Science.gov (United States)

Chen, Tianle; Wang, Yuanjia; Chen, Huaihou; Marder, Karen; Zeng, Donglin

2014-09-01

We develop methods to accurately predict whether pre-symptomatic individuals are at risk of a disease based on their various marker profiles, which offers an opportunity for early intervention well before definitive clinical diagnosis. For many diseases, existing clinical literature may suggest the risk of disease varies with some markers of biological and etiological importance, for example age. To identify effective prediction rules using nonparametric decision functions, standard statistical learning approaches treat markers with clear biological importance (e.g., age) and other markers without prior knowledge on disease etiology interchangeably as input variables. Therefore, these approaches may be inadequate in singling out and preserving the effects from the biologically important variables, especially in the presence of potential noise markers. Using age as an example of a salient marker to receive special care in the analysis, we propose a local smoothing large margin classifier implemented with support vector machine (SVM) to construct effective age-dependent classification rules. The method adaptively adjusts age effect and separately tunes age and other markers to achieve optimal performance. We derive the asymptotic risk bound of the local smoothing SVM, and perform extensive simulation studies to compare with standard approaches. We apply the proposed method to two studies of premanifest Huntington's disease (HD) subjects and controls to construct age-sensitive predictive scores for the risk of HD and risk of receiving HD diagnosis during the study period.

A proposed radiological classification of childhood intra-thoracic tuberculosis

International Nuclear Information System (INIS)

Marais, Ben J.; Gie, Robert P.; Schaaf, H. Simon; Hesseling, Anneke C.; Donald, Peter R.; Beyers, Nulda; Starke, Jeff R.

2004-01-01

One of the obstacles in discussing childhood tuberculosis (TB) is the lack of standard descriptive terminology to classify the diverse spectrum of disease. Accurate disease classification is important, because the correct identification of the specific disease entity has definite prognostic significance. Accurate classification will also improve study outcome definitions and facilitate scientific communication. The aim of this paper is to provide practical guidelines for the accurate radiological classification of intra-thoracic TB in children less than 15 years of age. The proposed radiological classification is based on the underlying disease and the principles of pathological disease progression. The hope is that the proposed classification will clarify concepts and stimulate discussion that may lead to future consensus. (orig.)

Dengue disease severity in Indonesian children: An evaluation of the World Health Organization classification system

NARCIS (Netherlands)

T.E. Setiati (Tatty); A.T.A. Mairuhu; P. Koraka (Penelope); M. Supriatna (Mohamad); M.R. Mac Gillavry (Melvin); D.P.M. Brandjes (Dees); A.D.M.E. Osterhaus (Albert); J.W.M. van der Meer (Jos); E.C.M. van Gorp (Eric); A. Soemantri (Augustinus)

2007-01-01

textabstractBackground: Dengue disease severity is usually classified using criteria set up by the World Health Organization (WHO). We aimed to assess the diagnostic accuracy of the WHO classification system and modifications to this system, and evaluated their potential practical usefulness.

Improving the estimation of celiac disease sibling risk by non-HLA genes.

Directory of Open Access Journals (Sweden)

Valentina Izzo

Full Text Available Celiac Disease (CD is a polygenic trait, and HLA genes explain less than half of the genetic variation. Through large GWAs more than 40 associated non-HLA genes were identified, but they give a small contribution to the heritability of the disease. The aim of this study is to improve the estimate of the CD risk in siblings, by adding to HLA a small set of non-HLA genes. One-hundred fifty-seven Italian families with a confirmed CD case and at least one other sib and both parents were recruited. Among 249 sibs, 29 developed CD in a 6 year follow-up period. All individuals were typed for HLA and 10 SNPs in non-HLA genes: CCR1/CCR3 (rs6441961, IL12A/SCHIP1 and IL12A (rs17810546 and rs9811792, TAGAP (rs1738074, RGS1 (rs2816316, LPP (rs1464510, OLIG3 (rs2327832, REL (rs842647, IL2/IL21 (rs6822844, SH2B3 (rs3184504. Three associated SNPs (in LPP, REL, and RGS1 genes were identified through the Transmission Disequilibrium Test and a Bayesian approach was used to assign a score (BS to each detected HLA+SNPs genotype combination. We then classified CD sibs as at low or at high risk if their BS was respectively < or ≥ median BS value within each HLA risk group. A larger number (72% of CD sibs showed a BS ≥ the median value and had a more than two fold higher OR than CD sibs with a BS value < the median (O.R = 2.53, p = 0.047. Our HLA+SNPs genotype classification, showed both a higher predictive negative value (95% vs 91% and diagnostic sensitivity (79% vs 45% than the HLA only. In conclusion, the estimate of the CD risk by HLA+SNPs approach, even if not applicable to prevention, could be a precious tool to improve the prediction of the disease in a cohort of first degree relatives, particularly in the low HLA risk groups.

A new patient classification for laser resurfacing and peels: predicting responses, risks, and results.

Science.gov (United States)

Fanous, Nabil

2002-01-01

Traditional classifications for skin treatment modalities are based on skin characteristics, the most important being skin color. Other factors are considered as well, such as oiliness, thickness, pathology, and sensitivity. While useful, these classifications are occasionally inadequate in predicting and explaining the outcome of some peels, dermabrasions, or laser resurfacing procedures. Why, for example, would a Korean patient with a light white skin inadvertently develop more hyperpigmentation than his darker skinned French counterpart? The new classification introduced here is based on the racial and genetic origins of patients. It suggests that racial genetic predisposition is the determining factor in human response to skin injury, including skin treatments. This classification takes into account both skin and features, rather than skin alone. It offers a new approach in evaluating patients scheduled for skin peels or laser resurfacing, in the hope of helping physicians to better predict reactions, select the appropriate type and intensity of the skin treatment and, ultimately, better control the outcome. Six categories (sub-races) are described: Nordics, Europeans, Mediterraneans, Indo-Pakistanis, Africans, and Asians. The reaction of each sub-race to peels, laser resurfacing, or dermabrasion is analyzed. The risks associated with each group are noted. This new classification provides physicians with a practical way to evaluate patients prior to treatment, with a view to determining each patient's suitability, postoperative reaction, the likelihood of complications, and likely result.

Differential Diagnosis of Erythmato-Squamous Diseases Using Classification and Regression Tree.

Science.gov (United States)

Maghooli, Keivan; Langarizadeh, Mostafa; Shahmoradi, Leila; Habibi-Koolaee, Mahdi; Jebraeily, Mohamad; Bouraghi, Hamid

2016-10-01

Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are placed into six different classes. Data mining is the process for detection of hidden patterns. In the case of ESD, data mining help us to predict the diseases. Different algorithms were developed for this purpose. we aimed to use the Classification and Regression Tree (CART) to predict differential diagnosis of ESD. we used the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. For this purpose, the dermatology data set from machine learning repository, UCI was obtained. The Clementine 12.0 software from IBM Company was used for modelling. In order to evaluation of the model we calculate the accuracy, sensitivity and specificity of the model. The proposed model had an accuracy of 94.84% (. 24.42) in order to correct prediction of the ESD disease. Results indicated that using of this classifier could be useful. But, it would be strongly recommended that the combination of machine learning methods could be more useful in terms of prediction of ESD.

Borrelia infection and risk of celiac disease.

Science.gov (United States)

Alaedini, Armin; Lebwohl, Benjamin; Wormser, Gary P; Green, Peter H; Ludvigsson, Jonas F

2017-09-15

Environmental factors, including infectious agents, are speculated to play a role in the rising prevalence and the geographic distribution of celiac disease, an autoimmune disorder. In the USA and Sweden where the regional variation in the frequency of celiac disease has been studied, a similarity with the geographic distribution of Lyme disease, an emerging multisystemic infection caused by Borrelia burgdorferi spirochetes, has been found, thus raising the possibility of a link. We aimed to determine if infection with Borrelia contributes to an increased risk of celiac disease. Biopsy reports from all of Sweden's pathology departments were used to identify 15,769 individuals with celiac disease. Through linkage to the nationwide Patient Register, we compared the rate of earlier occurrence of Lyme disease in the patients with celiac disease to that in 78,331 matched controls. To further assess the temporal relationship between Borrelia infection and celiac disease, we also examined the risk of subsequent Lyme disease in patients with a diagnosis of celiac disease. Twenty-five individuals (0.16%) with celiac disease had a prior diagnosis of Lyme disease, whereas 79 (0.5%) had a subsequent diagnosis of Lyme disease. A modest association between Lyme disease and celiac disease was seen both before (odds ratio, 1.61; 95% confidence interval (CI), 1.06-2.47) and after the diagnosis of celiac disease (hazard ratio, 1.82; 95% CI, 1.40-2.35), with the risk of disease being highest in the first year of follow-up. Only a minor fraction of the celiac disease patient population had a prior diagnosis of Lyme disease. The similar association between Lyme disease and celiac disease both before and after the diagnosis of celiac disease is strongly suggestive of surveillance bias as a likely contributor. Taken together, the data indicate that Borrelia infection is not a substantive risk factor in the development of celiac disease.

Maxillectomy defects: a suggested classification scheme.

Science.gov (United States)

Akinmoladun, V I; Dosumu, O O; Olusanya, A A; Ikusika, O F

2013-06-01

The term "maxillectomy" has been used to describe a variety of surgical procedures for a spectrum of diseases involving a diverse anatomical site. Hence, classifications of maxillectomy defects have often made communication difficult. This article highlights this problem, emphasises the need for a uniform system of classification and suggests a classification system which is simple and comprehensive. Articles related to this subject, especially those with specified classifications of maxillary surgical defects were sourced from the internet through Google, Scopus and PubMed using the search terms maxillectomy defects classification. A manual search through available literature was also done. The review of the materials revealed many classifications and modifications of classifications from the descriptive, reconstructive and prosthodontic perspectives. No globally acceptable classification exists among practitioners involved in the management of diseases in the mid-facial region. There were over 14 classifications of maxillary defects found in the English literature. Attempts made to address the inadequacies of previous classifications have tended to result in cumbersome and relatively complex classifications. A single classification that is based on both surgical and prosthetic considerations is most desirable and is hereby proposed.

Entomologic index for human risk of Lyme disease.

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Mather, T N; Nicholson, M C; Donnelly, E F; Matyas, B T

1996-12-01

An entomologic index based on density estimates of Lyme disease spirochete-infected nymphal deer ticks (lxodes scapularis) was developed to assess human risk of Lyme disease. The authors used a standardized protocol to determine tick density and infection in numerous forested sites in six Rhode Island towns. An entomologic risk index calculated for each town was compared with the number of human Lyme disease cases reported to the Rhode Island State Health Department for the same year. A strong positive relation between entomologic risk index and the Lyme disease case rate for each town suggested that the entomologic index was predictive of Lyme disease risk.

Ancillary testing, diagnostic/classification criteria and severity grading in Behçet disease.

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Okada, Annabelle A; Stanford, Miles; Tabbara, Khalid

2012-12-01

Since there is no pathognomonic clinical sign or laboratory test to distinguish Behçet disease from other uveitic entities, the diagnosis must be made based on characteristic ocular and systemic findings in the absence of evidence of other disease that can explain the findings. Ancillary tests, including ocular and brain imaging studies, are used to assess the severity of intraocular inflammation and systemic manifestations of Behçet disease, to identify latent infections and other medical conditions that might worsen with systemic treatment, and to monitor for adverse effects of drugs used. There are two diagnostic or classification criteria in general use by the uveitis community, one from Japan and one from an international group; both rely on a minimum number and/or combination of clinical findings to identify Behçet disease. Finally, several grading schemes have been proposed to assess severity of ocular disease and response to treatment.

Proposals for Paraphilic Disorders in the International Classification of Diseases and Related Health Problems, Eleventh Revision (ICD-11).

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Krueger, Richard B; Reed, Geoffrey M; First, Michael B; Marais, Adele; Kismodi, Eszter; Briken, Peer

2017-07-01

The World Health Organization is currently developing the 11th revision of the International Classifications of Diseases and Related Health Problems (ICD-11), with approval of the ICD-11 by the World Health Assembly anticipated in 2018. The Working Group on the Classification of Sexual Disorders and Sexual Health (WGSDSH) was created and charged with reviewing and making recommendations for categories related to sexuality that are contained in the chapter of Mental and Behavioural Disorders in ICD-10 (World Health Organization 1992a). Among these categories was the ICD-10 grouping F65, Disorders of sexual preference, which describes conditions now widely referred to as Paraphilic Disorders. This article reviews the evidence base, rationale, and recommendations for the proposed revisions in this area for ICD-11 and compares them with DSM-5. The WGSDSH recommended that the grouping, Disorders of sexual preference, be renamed to Paraphilic Disorders and be limited to disorders that involve sexual arousal patterns that focus on non-consenting others or are associated with substantial distress or direct risk of injury or death. Consistent with this framework, the WGSDSH also recommended that the ICD-10 categories of Fetishism, Fetishistic Transvestism, and Sadomasochism be removed from the classification and new categories of Coercive Sexual Sadism Disorder, Frotteuristic Disorder, Other Paraphilic Disorder Involving Non-Consenting Individuals, and Other Paraphilic Disorder Involving Solitary Behaviour or Consenting Individuals be added. The WGSDSH's proposals for Paraphilic Disorders in ICD-11 are based on the WHO's role as a global public health agency and the ICD's function as a public health reporting tool.

Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment

NARCIS (Netherlands)

Danaei, Goodarz; Lu, Yuan; Singh, Gitanjali M.; Carnahan, Emily; Stevens, Gretchen A.; Cowan, Melanie J.; Farzadfar, Farshad; Lin, John K.; Finucane, Mariel M.; Rao, Mayuree; Khang, Young-Ho; Riley, Leanne M.; Mozaffarian, Dariush; Lim, Stephen S.; Ezzati, Majid; Aamodt, Geir; Abdeen, Ziad; Abdella, Nabila A.; Rahim, Hanan F. Abdul; Addo, Juliet; Aekplakorn, Wichai; Afifi, Mustafa M.; Agabiti-Rosei, Enrico; Salinas, Carlos A. Aguilar; Agyemang, Charles; Ali, Mohammed K.; Ali, Mohamed M.; Al-Nsour, Mohannad; Al-Nuaim, Abdul R.; Ambady, Ramachandran; Di Angelantonio, Emanuele; Aro, Pertti; Azizi, Fereidoun; Babu, Bontha V.; Bahalim, Adil N.; Barbagallo, Carlo M.; Barbieri, Marco A.; Barceló, Alberto; Barreto, Sandhi M.; Barros, Henrique; Bautista, Leonelo E.; Benetos, Athanase; Bjerregaard, Peter; Björkelund, Cecilia; Bo, Simona; Bobak, Martin; Bonora, Enzo; Botana, Manuel A.; Bovet, Pascal; Breckenkamp, Juergen

2014-01-01

Background High blood pressure, blood glucose, serum cholesterol, and BMI are risk factors for cardiovascular diseases and some of these factors also increase the risk of chronic kidney disease and diabetes. We estimated mortality from cardiovascular diseases, chronic kidney disease, and diabetes

Male Infertility and Risk of Nonmalignant Chronic Diseases

DEFF Research Database (Denmark)

Glazer, Clara Helene; Bonde, Jens Peter; Eisenberg, Michael L.

2017-01-01

The association between male infertility and increased risk of certain cancers is well studied. Less is known about the long-term risk of nonmalignant diseases in men with decreased fertility. A systemic literature review was performed on the epidemiologic evidence of male infertility...... as a precursor for increased risk of diabetes, cardiovascular diseases, and all-cause mortality. PubMed and Embase were searched from January 1, 1980, to September 1, 2016, to identify epidemiological studies reporting associations between male infertility and the outcomes of interest. Animal studies, case...... prospective (three on risk of mortality, one on risk of chronic diseases) and three were cross-sectional relating male infertility to the Charlson Comorbidity Index. The current epidemiological evidence is compatible with an association between male infertility and risk of chronic disease and mortality...

Dietary fiber and risk of coronary heart disease

DEFF Research Database (Denmark)

Pereira, Mark A; O'Reilly, Eilis; Augustsson, Katarina

2004-01-01

BACKGROUND: Few epidemiologic studies of dietary fiber intake and risk of coronary heart disease have compared fiber types (cereal, fruit, and vegetable) or included sex-specific results. The purpose of this study was to conduct a pooled analysis of dietary fiber and its subtypes and risk...... of coronary heart disease. METHODS: We analyzed the original data from 10 prospective cohort studies from the United States and Europe to estimate the association between dietary fiber intake and the risk of coronary heart disease. RESULTS: Over 6 to 10 years of follow-up, 5249 incident total coronary cases...... associated with risk of coronary heart disease....

Genetic risks for cardiovascular diseases

NARCIS (Netherlands)

Zafarmand, M.H.

2008-01-01

Atherosclerotic cardiovascular disease (CVD), which involves the heart, brain, and peripheral circulation, is a major health problem world-wide. The development of atherosclerosis is a complex process, and several established risk factors are involved. Nevertheless, these established risk factors

Automatic classification of patients with idiopathic Parkinson's disease and progressive supranuclear palsy using diffusion MRI datasets

Science.gov (United States)

Talai, Sahand; Boelmans, Kai; Sedlacik, Jan; Forkert, Nils D.

2017-03-01

Parkinsonian syndromes encompass a spectrum of neurodegenerative diseases, which can be classified into various subtypes. The differentiation of these subtypes is typically conducted based on clinical criteria. Due to the overlap of intra-syndrome symptoms, the accurate differential diagnosis based on clinical guidelines remains a challenge with failure rates up to 25%. The aim of this study is to present an image-based classification method of patients with Parkinson's disease (PD) and patients with progressive supranuclear palsy (PSP), an atypical variant of PD. Therefore, apparent diffusion coefficient (ADC) parameter maps were calculated based on diffusion-tensor magnetic resonance imaging (MRI) datasets. Mean ADC values were determined in 82 brain regions using an atlas-based approach. The extracted mean ADC values for each patient were then used as features for classification using a linear kernel support vector machine classifier. To increase the classification accuracy, a feature selection was performed, which resulted in the top 17 attributes to be used as the final input features. A leave-one-out cross validation based on 56 PD and 21 PSP subjects revealed that the proposed method is capable of differentiating PD and PSP patients with an accuracy of 94.8%. In conclusion, the classification of PD and PSP patients based on ADC features obtained from diffusion MRI datasets is a promising new approach for the differentiation of Parkinsonian syndromes in the broader context of decision support systems.

Balancing research and funding using value of information and portfolio tools for nanomaterial risk classification

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Bates, Matthew E.; Keisler, Jeffrey M.; Zussblatt, Niels P.; Plourde, Kenton J.; Wender, Ben A.; Linkov, Igor

2016-02-01

Risk research for nanomaterials is currently prioritized by means of expert workshops and other deliberative processes. However, analytical techniques that quantify and compare alternative research investments are increasingly recommended. Here, we apply value of information and portfolio decision analysis—methods commonly applied in financial and operations management—to prioritize risk research for multiwalled carbon nanotubes and nanoparticulate silver and titanium dioxide. We modify the widely accepted CB Nanotool hazard evaluation framework, which combines nano- and bulk-material properties into a hazard score, to operate probabilistically with uncertain inputs. Literature is reviewed to develop uncertain estimates for each input parameter, and a Monte Carlo simulation is applied to assess how different research strategies can improve hazard classification. The relative cost of each research experiment is elicited from experts, which enables identification of efficient research portfolios—combinations of experiments that lead to the greatest improvement in hazard classification at the lowest cost. Nanoparticle shape, diameter, solubility and surface reactivity were most frequently identified within efficient portfolios in our results.

Increased risk of thyroid diseases in patients with systemic lupus erythematosus: A nationwide population-based Study in Korea.

Directory of Open Access Journals (Sweden)

Jae-Seung Yun

Full Text Available We investigated the association between autoimmune thyroid disease and systemic lupus erythematosus (SLE using nationwide insurance claims data for the entire Korean population. Claims data for the period 2009-2013 were retrieved from the National Health Insurance System database. SLE and thyroid disease were identified using the International Classification of Diseases codes and medication information. Logistic regression analyses were used to evaluate the association between SLE and thyroid disease. The study used records from 17,495 patients with SLE and 52,485 age- and sex-matched control subjects. A greater prevalence of Graves' disease (0.94% vs. 0.46%, P < 0.001, Hashimoto's thyroiditis (2.68% vs. 0.80%, P < 0.001, and thyroid cancer (1.81% vs. 1.30%, P < 0.001 was observed in SLE patients than in control subjects. Multivariate regression analyses demonstrated that SLE was significantly associated with an increased risk of both autoimmune thyroid disease and thyroid cancer (Graves' disease: odds ratio [OR] 2.07, 95% confidence interval [CI] 1.70-2.53; Hashimoto's thyroiditis: OR 3.42, 95% CI 3.00-3.91; thyroid cancer: OR 1.40, 95% CI 1.22-1.60. Age- and sex- stratified analyses revealed that the risk of autoimmune thyroid disease in SLE patients was increased for all age groups and the female group. An association between thyroid cancer and SLE was identified only in the 20- to 59-year-old age group and in the female group. Using a large population-based study, we demonstrated that patients with SLE are at a greater risk of developing thyroid disease than matched control individuals.

Use of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for improving the accuracy of the risk classification of type 1 diabetes.

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Sosenko, Jay M; Skyler, Jay S; Mahon, Jeffrey; Krischer, Jeffrey P; Greenbaum, Carla J; Rafkin, Lisa E; Beam, Craig A; Boulware, David C; Matheson, Della; Cuthbertson, David; Herold, Kevan C; Eisenbarth, George; Palmer, Jerry P

2014-04-01

OBJECTIVE We studied the utility of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for improving the accuracy of type 1 diabetes (T1D) risk classification in TrialNet Natural History Study (TNNHS) participants. RESEARCH DESIGN AND METHODS The cumulative incidence of T1D was compared between normoglycemic individuals with DPTRS values >7.00 and dysglycemic individuals in the TNNHS (n = 991). It was also compared between individuals with DPTRS values 7.00 among those with dysglycemia and those with multiple autoantibodies in the TNNHS. DPTRS values >7.00 were compared with dysglycemia for characterizing risk in Diabetes Prevention Trial-Type 1 (DPT-1) (n = 670) and TNNHS participants. The reliability of DPTRS values >7.00 was compared with dysglycemia in the TNNHS. RESULTS The cumulative incidence of T1D for normoglycemic TNNHS participants with DPTRS values >7.00 was comparable to those with dysglycemia. Among those with dysglycemia, the cumulative incidence was much higher (P 7.00 than for those with values 7.00). Dysglycemic individuals in DPT-1 were at much higher risk for T1D than those with dysglycemia in the TNNHS (P 7.00. The proportion in the TNNHS reverting from dysglycemia to normoglycemia at the next visit was higher than the proportion reverting from DPTRS values >7.00 to values <7.00 (36 vs. 23%). CONCLUSIONS DPTRS thresholds can improve T1D risk classification accuracy by identifying high-risk normoglycemic and low-risk dysglycemic individuals. The 7.00 DPTRS threshold characterizes risk more consistently between populations and has greater reliability than dysglycemia.

Association between traditional clinical high-risk features and gene expression profile classification in uveal melanoma.

Science.gov (United States)

Nguyen, Brandon T; Kim, Ryan S; Bretana, Maria E; Kegley, Eric; Schefler, Amy C

2018-02-01

To evaluate the association between traditional clinical high-risk features of uveal melanoma patients and gene expression profile (GEP). This was a retrospective, single-center, case series of patients with uveal melanoma. Eighty-three patients met inclusion criteria for the study. Patients were examined for the following clinical risk factors: drusen/retinal pigment epithelium (RPE) changes, vascularity on B-scan, internal reflectivity on A-scan, subretinal fluid (SRF), orange pigment, apical tumor height/thickness, and largest basal dimensions (LBD). A novel point system was created to grade the high-risk clinical features of each tumor. Further analyses were performed to assess the degree of association between GEP and each individual risk factor, total clinical risk score, vascularity, internal reflectivity, American Joint Committee on Cancer (AJCC) tumor stage classification, apical tumor height/thickness, and LBD. Of the 83 total patients, 41 were classified as GEP class 1A, 17 as class 1B, and 25 as class 2. The presence of orange pigment, SRF, low internal reflectivity and vascularity on ultrasound, and apical tumor height/thickness ≥ 2 mm were not statistically significantly associated with GEP class. Lack of drusen/RPE changes demonstrated a trend toward statistical association with GEP class 2 compared to class 1A/1B. LBD and advancing AJCC stage was statistically associated with higher GEP class. In this cohort, AJCC stage classification and LBD were the only clinical features statistically associated with GEP class. Clinicians should use caution when inferring the growth potential of melanocytic lesions solely from traditional funduscopic and ultrasonographic risk factors without GEP data.

The Oxford classification of IgA nephropathy: rationale, clinicopathological correlations, and classification

NARCIS (Netherlands)

Cattran, Daniel C.; Coppo, Rosanna; Cook, H. Terence; Feehally, John; Roberts, Ian S. D.; Troyanov, Stéphan; Alpers, Charles E.; Amore, Alessandro; Barratt, Jonathan; Berthoux, Francois; Bonsib, Stephen; Bruijn, Jan A.; D'Agati, Vivette; D'Amico, Giuseppe; Emancipator, Steven; Emma, Francesco; Ferrario, Franco; Fervenza, Fernando C.; Florquin, Sandrine; Fogo, Agnes; Geddes, Colin C.; Groene, Hermann-Josef; Haas, Mark; Herzenberg, Andrew M.; Hill, Prue A.; Hogg, Ronald J.; Hsu, Stephen I.; Jennette, J. Charles; Joh, Kensuke; Julian, Bruce A.; Kawamura, Tetsuya; Lai, Fernand M.; Leung, Chi Bon; Li, Lei-Shi; Li, Philip K. T.; Liu, Zhi-Hong; Mackinnon, Bruce; Mezzano, Sergio; Schena, F. Paolo; Tomino, Yasuhiko; Walker, Patrick D.; Wang, Haiyan; Weening, Jan J.; Yoshikawa, Nori; Zhang, Hong

2009-01-01

IgA nephropathy is the most common glomerular disease worldwide, yet there is no international consensus for its pathological or clinical classification. Here a new classification for IgA nephropathy is presented by an international consensus working group. The goal of this new system was to

A content analysis of peripheral arterial disease patient-reported outcome measures using the International Classification of Functioning, Disability and Health.

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Osborne, Candice Lee; Kauvar, David Seth

2017-10-17

The purpose of this study was to link, classify and describe the content of peripheral arterial disease (PAD)-specific patient-reported outcome measures using the International Classification of Functioning. The results were then analyzed to determine if these assessments provide clinicians and researchers with a comprehensive understanding of the lived experience of patients with PAD. Each meaningful concept in identified PAD assessments was linked to the International Classification of Functioning, Disability and Health to determine included and excluded content areas. An overall perspective was assigned to each assessment item. Inter-rater reliability was established using a kappa statistic. The body functions component is most frequently addressed overall followed by the activities and participation component. International Classification of Functioning chapter and category distribution vary greatly between assessments and no assessment comprehensively examines community participation and relationships. The majority of the assessment items are of the health status-disability and quality of life perspectives. The results of this study suggest the need for the development of a comprehensive PAD assessment that includes a more even distribution of International Classification of Functioning topics and subtopics. A more comprehensive assessment would better capture the lived experience of this patient population. Implications for Rehabilitation A better understanding of the data collected using the current peripheral arterial disease-specific patient-reported outcome measures may contribute to the development of more comprehensive assessment tools that will ultimately lead to improved patient care. This study contributes to the preliminary foundation for the development of a peripheral arterial disease International Classification of Functioning, Disability and Health Core Set. Clinicians and researchers interested in using peripheral arterial disease

Infectious Disease Risk Associated with Space Flight

Science.gov (United States)

Pierson, Duane L.

2010-01-01

This slide presentation opens with views of the shuttle in various stages of preparation for launch, a few moments after launch prior to external fuel tank separation, a few pictures of the earth,and several pictures of astronomical interest. The presentation reviews the factors effecting the risks of infectious disease during space flight, such as the crew, water, food, air, surfaces and payloads and the factors that increase disease risk, the factors affecting the risk of infectious disease during spaceflight, and the environmental factors affecting immunity, such as stress. One factor in space infectious disease is latent viral reactivation, such as herpes. There are comparisons of the incidence of viral reactivation in space, and in other analogous situations (such as bed rest, or isolation). There is discussion of shingles, and the pain and results of treatment. There is a further discussion of the changes in microbial pathogen characteristics, using salmonella as an example of the increased virulence of microbes during spaceflight. A factor involved in the risk of infectious disease is stress.

Parkinson disease and Alzheimer disease: environmental risk factors.

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Campdelacreu, J

2014-01-01

The purpose of this review is to update and summarise available evidence on environmental risk factors that have been associated with risk of Parkinson disease (PD) or Alzheimer disease (AD) and discuss their potential mechanisms. Evidence consistently suggests that a higher risk of PD is associated with pesticides and that a higher risk of AD is associated with pesticides, hypertension and high cholesterol levels in middle age, hyperhomocysteinaemia, smoking, traumatic brain injury and depression. There is weak evidence suggesting that higher risk of PD is associated with high milk consumption in men, high iron intake, chronic anaemia and traumatic brain injury. Weak evidence also suggests that a higher risk of AD is associated with high aluminium intake through drinking water, excessive exposure to electromagnetic fields from electrical grids, DM and hyperinsulinaemia, obesity in middle age, excessive alcohol consumption and chronic anaemia. Evidence consistently suggests that a lower risk of PD is associated with hyperuricaemia, tobacco and coffee use, while a lower risk of AD is associated with moderate alcohol consumption, physical exercise, perimenopausal hormone replacement therapy and good cognitive reserve. Weak evidence suggests that lower risk of PD is associated with increased vitamin E intake, alcohol, tea, NSAIDs, and vigorous physical exercise, and that lower risk of AD is associated with the Mediterranean diet, coffee and habitual NSAID consumption. Several environmental factors contribute significantly to risk of PD and AD. Some may already be active in the early stages of life, and some may interact with other genetic factors. Population-based strategies to modify such factors could potentially result in fewer cases of PD or AD. Copyright © 2012 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life

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Wang, Aiguo; Lu, Xin; Chen, Hongtu; Li, Changqun; Levkoff, Sue

2014-01-01

Background There are several mobile apps that offer tools for disease prevention and management among older adults, and promote health behaviors that could potentially reduce or delay the onset of disease. A classification scheme that categorizes apps could be useful to both older adult app users and app developers. Objective The objective of our study was to build and evaluate the effectiveness of a classification scheme that classifies mobile apps available for older adults in the “Health & Fitness” category of the iTunes App Store. Methods We constructed a classification scheme for mobile apps according to three dimensions: (1) the Precede-Proceed Model (PPM), which classifies mobile apps in terms of predisposing, enabling, and reinforcing factors for behavior change; (2) health care process, specifically prevention versus management of disease; and (3) health conditions, including physical health and mental health. Content analysis was conducted by the research team on health and fitness apps designed specifically for older adults, as well as those applicable to older adults, released during the months of June and August 2011 and August 2012. Face validity was assessed by a different group of individuals, who were not related to the study. A reliability analysis was conducted to confirm the accuracy of the coding scheme of the sample apps in this study. Results After applying sample inclusion and exclusion criteria, a total of 119 apps were included in the study sample, of which 26/119 (21.8%) were released in June 2011, 45/119 (37.8%) in August 2011, and 48/119 (40.3%) in August 2012. Face validity was determined by interviewing 11 people, who agreed that this scheme accurately reflected the nature of this application. The entire study sample was successfully coded, demonstrating satisfactory inter-rater reliability by two independent coders (95.8% initial concordance and 100% concordance after consensus was reached). The apps included in the study sample

Quantification of CT images for the classification of high- and low-risk pancreatic cysts

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Gazit, Lior; Chakraborty, Jayasree; Attiyeh, Marc; Langdon-Embry, Liana; Allen, Peter J.; Do, Richard K. G.; Simpson, Amber L.

2017-03-01

Pancreatic cancer is the most lethal cancer with an overall 5-year survival rate of 7%1 due to the late stage at diagnosis and the ineffectiveness of current therapeutic strategies. Given the poor prognosis, early detection at a pre-cancerous stage is the best tool for preventing this disease. Intraductal papillary mucinous neoplasms (IPMN), cystic tumors of the pancreas, represent the only radiographically identifiable precursor lesion of pancreatic cancer and are known to evolve stepwise from low-to-high-grade dysplasia before progressing into an invasive carcinoma. Observation is usually recommended for low-risk (low- and intermediate-grade dysplasia) patients, while high-risk (high-grade dysplasia and invasive carcinoma) patients undergo resection; hence, patient selection is critically important in the management of pancreatic cysts.2 Radiologists use standard criteria such as main pancreatic duct size, cyst size, or presence of a solid enhancing component in the cyst to optimally select patients for surgery.3 However, these findings are subject to a radiologist's interpretation and have been shown to be inconsistent with regards to the presence of a mural nodule or solid component.4 We propose objective classification of risk groups based on quantitative imaging features extracted from CT scans. We apply new features that represent the solid component (i.e. areas of high intensity) within the cyst and extract standard texture features. An adaptive boost classifier5 achieves the best performance with area under receiver operating characteristic curve (AUC) of 0.73 and accuracy of 77.3% for texture features. The random forest classifier achieves the best performance with AUC of 0.71 and accuracy of 70.8% with the solid component features.

Cheese and cardiovascular disease risk

DEFF Research Database (Denmark)

Hjerpsted, Julie Bousgaard; Tholstrup, Tine

2016-01-01

Abstract Currently, the effect of dairy products on cardiovascular risk is a topic with much debate and conflicting results. The purpose of this review is to give an overview of the existing literature regarding the effect of cheese intake and risk of cardiovascular disease (CVD). Studies included...

Modified Cut-Off Value of the Urine Protein-To-Creatinine Ratio Is Helpful for Identifying Patients at High Risk for Chronic Kidney Disease: Validation of the Revised Japanese Guideline.

Science.gov (United States)

Yamamoto, Hiroyuki; Yamamoto, Kyoko; Yoshida, Katsumi; Shindoh, Chiyohiko; Takeda, Kyoko; Monden, Masami; Izumo, Hiroko; Niinuma, Hiroyuki; Nishi, Yutaro; Niwa, Koichiro; Komatsu, Yasuhiro

2015-11-01

Chronic kidney disease (CKD) is a global public health issue, and strategies for its early detection and intervention are imperative. The latest Japanese CKD guideline recommends that patients without diabetes should be classified using the urine protein-to-creatinine ratio (PCR) instead of the urine albumin-to-creatinine ratio (ACR); however, no validation studies are available. This study aimed to validate the PCR-based CKD risk classification compared with the ACR-based classification and to explore more accurate classification methods. We analyzed two previously reported datasets that included diabetic and/or cardiovascular patients who were classified into early CKD stages. In total, 860 patients (131 diabetic patients and 729 cardiovascular patients, including 193 diabetic patients) were enrolled. We assessed the CKD risk classification of each patient according to the estimated glomerular filtration rate and the ACR-based or PCR-based classification. The use of the cut-off value recommended in the current guideline (PCR 0.15 g/g creatinine) resulted in risk misclassification rates of 26.0% and 16.6% for the two datasets. The misclassification was primarily caused by underestimation. Moderate to substantial agreement between each classification was achieved: Cohen's kappa, 0.56 (95% confidence interval, 0.45-0.69) and 0.72 (0.67-0.76) in each dataset, respectively. To improve the accuracy, we tested various candidate PCR cut-off values, showing that a PCR cut-off value of 0.08-0.10 g/g creatinine resulted in improvement in the misclassification rates and kappa values. Modification of the PCR cut-off value would improve its efficacy to identify high-risk populations who will benefit from early intervention.

Chronic kidney disease and bleeding risk in patients at high cardiovascular risk: a cohort study.

Science.gov (United States)

Ocak, G; Rookmaaker, M B; Algra, A; de Borst, G J; Doevendans, P A; Kappelle, L J; Verhaar, M C; Visseren, F L

2018-01-01

Essentials The association between chronic kidney disease and bleeding is unknown. We followed 10 347 subjects at high cardiovascular risk for bleeding events. Chronic kidney disease was associated with a 1.5-fold increased bleeding risk. Especially albuminuria rather than decreased kidney function was associated with bleeding events. Background There are indications that patients with chronic kidney disease have an increased bleeding risk. Objectives To investigate the association between chronic kidney disease and bleeding in patients at high cardiovascular risk. Methods We included 10 347 subjects referred to the University Medical Center Utrecht (the Netherlands) from September 1996 to February 2015 for an outpatient visit with classic risk factors for arterial disease or with symptomatic arterial disease (Second Manifestation of Arterial disease [SMART] cohort). Patients were staged according to the KDIGO guidelines, on the basis of estimated glomerular filtration rate (eGFR) and albuminuria, and were followed for the occurrence of major hemorrhagic events until March 2015. Hazard ratios (HRs) with 95% confidence intervals (CIs) for bleeding were calculated with Cox proportional hazards analyses. Results The incidence rate for bleeding in subjects with chronic kidney disease was 8.0 per 1000 person-years and that for subjects without chronic kidney disease was 3.5 per 1000 person-years. Patients with chronic kidney disease (n = 2443) had a 1.5-fold (95% CI 1.2-1.9) increased risk of bleeding as compared with subjects without chronic kidney disease (n = 7904) after adjustment. Subjects with an eGFR of Chronic kidney disease is a risk factor for bleeding in patients with classic risk factors for arterial disease or with symptomatic arterial disease, especially in the presence of albuminuria. © 2017 University Medical Center Utrecht. Journal of Thrombosis and Haemostasis © 2017 International Society on Thrombosis and Haemostasis.

Fuzzy One-Class Classification Model Using Contamination Neighborhoods

Directory of Open Access Journals (Sweden)

Lev V. Utkin

2012-01-01

Full Text Available A fuzzy classification model is studied in the paper. It is based on the contaminated (robust model which produces fuzzy expected risk measures characterizing classification errors. Optimal classification parameters of the models are derived by minimizing the fuzzy expected risk. It is shown that an algorithm for computing the classification parameters is reduced to a set of standard support vector machine tasks with weighted data points. Experimental results with synthetic data illustrate the proposed fuzzy model.

Efficacy of the Kyoto Classification of Gastritis in Identifying Patients at High Risk for Gastric Cancer.

Science.gov (United States)

Sugimoto, Mitsushige; Ban, Hiromitsu; Ichikawa, Hitomi; Sahara, Shu; Otsuka, Taketo; Inatomi, Osamu; Bamba, Shigeki; Furuta, Takahisa; Andoh, Akira

2017-01-01

Objective The Kyoto gastritis classification categorizes the endoscopic characteristics of Helicobacter pylori (H. pylori) infection-associated gastritis and identifies patterns associated with a high risk of gastric cancer. We investigated its efficacy, comparing scores in patients with H. pylori-associated gastritis and with gastric cancer. Methods A total of 1,200 patients with H. pylori-positive gastritis alone (n=932), early-stage H. pylori-positive gastric cancer (n=189), and successfully treated H. pylori-negative cancer (n=79) were endoscopically graded according to the Kyoto gastritis classification for atrophy, intestinal metaplasia, fold hypertrophy, nodularity, and diffuse redness. Results The prevalence of O-II/O-III-type atrophy according to the Kimura-Takemoto classification in early-stage H. pylori-positive gastric cancer and successfully treated H. pylori-negative cancer groups was 45.1%, which was significantly higher than in subjects with gastritis alone (12.7%, pgastritis scores of atrophy and intestinal metaplasia in the H. pylori-positive cancer group were significantly higher than in subjects with gastritis alone (all pgastritis classification may thus be useful for detecting these patients.

How to Move Beyond the Diagnostic and Statistical Manual of Mental Disorders/International Classification of Diseases.

Science.gov (United States)

Schildkrout, Barbara

2016-10-01

A new nosology for mental disorders is needed as a basis for effective scientific inquiry. Diagnostic and Statistical Manual of Mental Disorders and International Classification of Diseases diagnoses are not natural, biological categories, and these diagnostic systems do not address mental phenomena that exist on a spectrum. Advances in neuroscience offer the hope of breakthroughs for diagnosing and treating major mental illness in the future. At present, a neuroscience-based understanding of brain/behavior relationships can reshape clinical thinking. Neuroscience literacy allows psychiatrists to formulate biologically informed psychological theories, to follow neuroscientific literature pertinent to psychiatry, and to embark on a path toward neurologically informed clinical thinking that can help move the field away from Diagnostic and Statistical Manual of Mental Disorders and International Classification of Diseases conceptualizations. Psychiatrists are urged to work toward attaining neuroscience literacy to prepare for and contribute to the development of a new nosology.

Retinopathy of Prematurity: Clinical Features, Classification, Natural History, Management and Outcome.

Science.gov (United States)

Shah, Parag K; Prabhu, Vishma; Ranjan, Ratnesh; Narendran, Venkatapathy; Kalpana, Narendran

2016-11-07

Retinopathy of prematurity is an avoidable cause of childhood blindness. Proper understanding of the classification and treatment methods is a must in tackling this disease. Literature search with PubMed was conducted covering the period 1940-2015 with regards to retinopathy of prematurity, retrolental fibroplasia, its natural history, classification and treatment. The clinical features, screening and staging of retinopathy of prematurity according to International classification of retinopathy of prematurity (ICROP) has been included with illustrations. The standard current treatment indications, modalities and outcomes from landmark randomized controlled trials on retinopathy of prematurity have been mentioned. This review would help pediatricians to update their current knowledge on classification and treatment of retinopathy of prematurity. Screening for retinopathy of prematurity, in India, should be performed in all preterm neonates who are born <34 weeks gestation and/or <1750 grams birthweight; as well as in babies 34-36 weeks gestation or 1750-2000 grams birthweight if they have risk factors for ROP. Screening should start by one month after birth.

Geotechnical Risk Classification for Underground Mines / Klasyfikacja Poziomu Zagrożenia Geotechnicznego W Kopalniach Podziemnych

Science.gov (United States)

Mishra, Ritesh Kumar; Rinne, Mikael

2015-03-01

Underground mining activities are prone to major hazards largely owing to geotechnical reasons. Mining combined with the confined working space and uncertain geotechnical data leads to hazards having the potential of catastrophic consequences. These incidents have the potential of causing multiple fatalities and large financial damages. Use of formal risk assessment in the past has demonstrated an important role in the prediction and prevention of accidents in risk prone industries such as petroleum, nuclear and aviation. This paper proposes a classification system for underground mining operations based on their geotechnical risk levels. The classification is done based on the type of mining method employed and the rock mass in which it is carried out. Mining methods have been classified in groups which offer similar geotechnical risk. The rock mass classification has been proposed based on bulk rock mass properties which are collected as part of the routine mine planning. This classification has been subdivided for various stages of mine planning to suit the extent of available data. Alpha-numeric coding has been proposed to identify a mining operation based on the competency of rock and risk of geotechnical failures. This alpha numeric coding has been further extended to identify mining activity under `Geotechnical Hazard Potential (GHP)'. GHP has been proposed to be used as a preliminary tool of risk assessment and risk ranking for a mining activity. The aim of such classification is to be used as a guideline for the justification of a formal geotechnical risk assessment. Górnictwo podziemne pociąga za sobą różnorakie zagrożenia spowodowane przez uwarunkowania geotechniczne. Urabianie złoża w połączeniu z pracą w zamkniętej przestrzeni oraz z niepewnymi danymi geotechnicznymi powodować może zagrożenia, które w konsekwencji prowadzić mogą do wypadków, a te potencjalnie powodować mogą skutki śmiertelne dla osób oraz poważne straty

Physical activity, the Framingham risk score and risk of coronary heart disease in men and women of the EPIC-Norfolk study.

Science.gov (United States)

Arsenault, Benoit J; Rana, Jamal S; Lemieux, Isabelle; Després, Jean-Pierre; Wareham, Nicholas J; Kastelein, John J P; Boekholdt, S Matthijs; Khaw, Kay-Tee

2010-03-01

Test the hypothesis that considering leisure-time and work-related physical activity habits in addition to the Framingham risk score (FRS) would result into better classification of coronary heart disease (CHD) risk than FRS alone. Prospective, population-based study of 9564 men and 12165 women aged 45-79 years followed for an average of 11.4 years. A modified FRS which takes into account physical activity (evaluated using a validated lifestyle questionnaire taking into account leisure-time and work-related physical activity) was computed. During follow-up, 2191 CHD events occurred. Among 3369 men who were classified as intermediate risk (event rate of 12.4%) according to the FRS, 413 were reclassified into the low-risk category and 279 were reclassified into the high-risk category after modification of the FRS. After reclassification of these men, CHD event rate was of 5.3% and 18.6%, respectively for men classified at low and high CHD risk. Among 4766 women initially classified as intermediate risk (event rate of 8.4%), 1282 were reclassified into the low-risk category whereas 1071 women were reclassified into the high-risk category. After reclassification of these women, CHD event rate was of 6.8% and 12.2%, respectively for women classified at low and high CHD risk. Results of the present study suggest that asking simple questions about leisure-time and work-related physical activity which can be rapidly obtained by any physician at no cost could be helpful in the estimation of patients' CHD risk.

An automated classification system for the differentiation of obstructive lung diseases based on the textural analysis of HRCT images

International Nuclear Information System (INIS)

Park, Seong Hoon; Seo, Joon Beom; Kim, Nam Kug; Lee, Young Kyung; Kim, Song Soo; Chae, Eun Jin; Lee, June Goo

2007-01-01

To develop an automated classification system for the differentiation of obstructive lung diseases based on the textural analysis of HRCT images, and to evaluate the accuracy and usefulness of the system. For textural analysis, histogram features, gradient features, run length encoding, and a co-occurrence matrix were employed. A Bayesian classifier was used for automated classification. The images (image number n = 256) were selected from the HRCT images obtained from 17 healthy subjects (n = 67), 26 patients with bronchiolitis obliterans (n = 70), 28 patients with mild centrilobular emphysema (n = 65), and 21 patients with panlobular emphysema or severe centrilobular emphysema (n = 63). An five-fold cross-validation method was used to assess the performance of the system. Class-specific sensitivities were analyzed and the overall accuracy of the system was assessed with kappa statistics. The sensitivity of the system for each class was as follows: normal lung 84.9%, bronchiolitis obliterans 83.8%, mild centrilobular emphysema 77.0%, and panlobular emphysema or severe centrilobular emphysema 95.8%. The overall performance for differentiating each disease and the normal lung was satisfactory with a kappa value of 0.779. An automated classification system for the differentiation between obstructive lung diseases based on the textural analysis of HRCT images was developed. The proposed system discriminates well between the various obstructive lung diseases and the normal lung

Prospective risk of rheumatologic disease associated with occupational exposure in a cohort of male construction workers.

Science.gov (United States)

Blanc, Paul D; Järvholm, Bengt; Torén, Kjell

2015-10-01

The association between occupational exposure and autoimmune disease is well recognized for silica, and suspected for other inhalants. We used a large cohort to estimate the risks of rheumatoid arthritis, systemic lupus erythematosus, systemic sclerosis, and dermatomyositis associated with silica and other occupational exposures. We analyzed data for male Swedish construction industry employees. Exposure was defined by a job-exposure matrix for silica and for other inorganic dusts; those with other job-exposure matrix exposures but not to either of the 2 inorganic dust categories were excluded. National hospital treatment data were linked for International Classification of Diseases, 10(th) Revision-coded diagnoses of rheumatoid arthritis (seronegative and positive), systemic lupus erythematosus, systemic sclerosis, and dermatomyositis. The 2 occupational exposures were tested as independent predictors of prospective hospital-based treatment for these diagnoses using age-adjusted Poisson multivariable regression analyses to calculate relative risk (RR). We analyzed hospital-based treatment data (1997 through 2010) for 240,983 men aged 30 to 84 years. There were 713 incident cases of rheumatoid arthritis (467 seropositive, 195 seronegative, 51 not classified) and 128 cases combined for systemic lupus erythematosus, systemic sclerosis, and dermatomyositis. Adjusted for smoking and age, the 2 occupational exposures (silica and other inorganic dusts) were each associated with increased risk of rheumatoid arthritis, systemic lupus erythematosus, systemic sclerosis, and dermatomyositis combined: RR 1.39 (95% confidence interval [CI], 1.17-1.64) and RR 1.31 (95% CI, 1.11-1.53), respectively. Among ever smokers, both silica and other inorganic dust exposure were associated with increased risk of rheumatoid arthritis (RRs 1.36; 95% CI, 1.11-1.68 and 1.42; 95% CI, 1.17-1.73, respectively), while among never smokers, neither exposure was associated with statistically

Impact of the Heart WATCH Program on Patients at Risk of Developing Metabolic Syndrome, Prediabetes or Cardiovascular Disease

Directory of Open Access Journals (Sweden)

Jennifer Fink

2015-04-01

Full Text Available Purpose: Metabolic syndrome is a set of metabolic risk factors associated with increased risk of developing cardiovascular disease and type 2 diabetes mellitus. We retrospectively evaluated the effectiveness of a lifestyle modification program (Heart WATCH geared toward reducing development of chronic disease in women deemed at risk for metabolic syndrome, prediabetes and/or cardiovascular disease. Methods: Our institution’s Heart WATCH program consists of screening sessions with a multidisciplinary team (physician/nurse, nutritionist and psychologist, a minimum of three visits with a nurse practitioner and weekly follow-up phone calls for a 14-week period. Sociodemographic variables were obtained at initial visit. Biometric testing indices and self-reported clinical and behavioral health measures were recorded pre- and postintervention, and compared using paired t-tests or McNemar’s test as appropriate. Results: Heart WATCH enrolled 242 women from November 2006 to April 2014, and 193 (80% completed all phases of the 14-week lifestyle intervention. Postintervention, participants demonstrated improved health status in all areas and improved significantly in the following areas: diet/nutrition (P=0.014, exercise (P<0.001, stress (P<0.0001, quality of life (P=0.003, weight (P<0.0001, waist circumference (P=0.01 and total cholesterol (P=0.019. Clinically meaningful improvements were realized by participants who moved to a healthier classification in a number of vital signs and blood panel indices. Conclusions: These findings suggest the “elevated risk profile” for women with components of metabolic syndrome can be reversed through a lifestyle program focused on reducing risk factors associated with cardiovascular disease and prediabetes. Future research is needed to determine mechanisms of risk reduction as well as optimal patient-centered and culturally appropriate approaches to weight management.

Education and the risk for Alzheimers disease

DEFF Research Database (Denmark)

Letenneur, L; Launer, L J; Andersen, K

2000-01-01

The hypothesis that a low educational level increases the risk for Alzheimer's disease remains controversial. The authors studied the association of years of schooling with the risk for incident dementia and Alzheimer's disease by using pooled data from four European population-based follow......-up studies. Dementia cases were identified in a two-stage procedure that included a detailed diagnostic assessment of screen-positive subjects. Dementia and Alzheimer's disease were diagnosed by using international research criteria. Educational level was categorized by years of schooling as low (...), middle (8-11), or high (> or =12). Relative risks (95% confidence intervals) were estimated by using Poisson regression, adjusting for age, sex, study center, smoking status, and self-reported myocardial infarction and stroke. There were 493 (328) incident cases of dementia (Alzheimer's disease) and 28...

Definition and classification of epilepsy. Classification of epileptic seizures 2016

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K. Yu. Mukhin

2017-01-01

Full Text Available Epilepsy is one of the most common neurological diseases, especially in childhood and adolescence. The incidence varies from 15 to 113 cases per 100 000 population with the maximum among children under 1 year old. The prevalence of epilepsy is high, ranging from 5 to 8 cases (in some regions – 10 cases per 1000 children under 15 years old. Classification of the disease has great importance for diagnosis, treatment and prognosis. The article presents a novel strategy for classification of epileptic seizures, developed in 2016. It contains a number of brand new concepts, including a very important one, saying that some seizures, previously considered as generalized or focal only, can be, in fact, both focal and generalized. They include tonic, atonic, myoclonic seizures and epileptic spasms. The term “secondarily generalized seizure” is replace by the term “bilateral tonic-clonic seizure” (as soon as it is not a separate type of epileptic seizures, and the term reflects the spread of discharge from any area of cerebral cortex and evolution of any types of focal seizures. International League Against Epilepsy recommends to abandon the term “pseudo-epileptic seizures” and replace it by the term “psychogenic non-epileptic seizures”. If a doctor is not sure that seizures have epileptic nature, the term “paroxysmal event” should be used without specifying the disease. The conception of childhood epileptic encephalopathies, developed within this novel classification project, is one of the most significant achievements, since in this case not only the seizures, but even epileptiform activity can induce severe disorders of higher mental functions. In addition to detailed description of the new strategy for classification of epileptic seizures, the article contains a comprehensive review of the existing principles of epilepsy and epileptic seizures classification.

[Diagnostic criteria for Menière's disease according to the Classification Committee of the Bárány Society].

Science.gov (United States)

Lopez-Escamez, J A; Carey, J; Chung, W-H; Goebel, J A; Magnusson, M; Mandalà, M; Newman-Toker, D E; Strupp, M; Suzuki, M; Trabalzini, F; Bisdorff, A

2017-11-01

This paper presents diagnostic criteria for Menière's disease jointly formulated by the Classification Committee of the Bárány Society, The Japan Society for Equilibrium Research, the European Academy of Otology and Neurotology (EAONO), the Equilibrium Committee of the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) and the Korean Balance Society. The classification includes two categories: definite Menière's disease and probable Menière's disease. The diagnosis of definite Menière's disease is based on clinical criteria and requires the observation of an episodic vertigo syndrome associated with low- to medium-frequency sensorineural hearing loss and fluctuating aural symptoms (hearing, tinnitus and/or fullness) in the affected ear. Duration of vertigo episodes is limited to a period between 20 min and 12 h. Probable Menière's disease is a broader concept defined by episodic vestibular symptoms (vertigo or dizziness) associated with fluctuating aural symptoms occurring in a period from 20 min to 24 h.

Proposals for Paraphilic Disorders in the International Classification of Diseases and Related Health Problems, Eleventh Revision (ICD-11)

OpenAIRE

Krueger, Richard B.; Reed, Geoffrey M.; First, Michael B.; Marais, Adele; Kismodi, Eszter; Briken, Peer

2017-01-01

The World Health Organization is currently developing the 11th revision of the International Classifications of Diseases and Related Health Problems (ICD-11), with approval of the ICD-11 by the World Health Assembly anticipated in 2018. The Working Group on the Classification of Sexual Disorders and Sexual Health (WGSDSH) was created and charged with reviewing and making recommendations for categories related to sexuality that are contained in the chapter of Mental and Behavioural Disorders i...

College Students' Perceived Disease Risk versus Actual Prevalence Rates

Science.gov (United States)

Smith, Matthew Lee; Dickerson, Justin B.; Sosa, Erica T.; McKyer, E. Lisako J.; Ory, Marcia G.

2012-01-01

Objective: To compare college students' perceived disease risk with disease prevalence rates. Methods: Data were analyzed from 625 college students collected with an Internet-based survey. Paired t-tests were used to separately compare participants' perceived 10-year and lifetime disease risk for 4 diseases: heart disease, cancer, diabetes, and…

Etiological classifications of transient ischemic attacks: subtype classification by TOAST, CCS and ASCO--a pilot study.

Science.gov (United States)

Amort, Margareth; Fluri, Felix; Weisskopf, Florian; Gensicke, Henrik; Bonati, Leo H; Lyrer, Philippe A; Engelter, Stefan T

2012-01-01

In patients with transient ischemic attacks (TIA), etiological classification systems are not well studied. The Trial of ORG 10172 in Acute Stroke Treatment (TOAST), the Causative Classification System (CCS), and the Atherosclerosis Small Vessel Disease Cardiac Source Other Cause (ASCO) classification may be useful to determine the underlying etiology. We aimed at testing the feasibility of each of the 3 systems. Furthermore, we studied and compared their prognostic usefulness. In a single-center TIA registry prospectively ascertained over 2 years, we applied 3 etiological classification systems. We compared the distribution of underlying etiologies, the rates of patients with determined versus undetermined etiology, and studied whether etiological subtyping distinguished TIA patients with versus without subsequent stroke or TIA within 3 months. The 3 systems were applicable in all 248 patients. A determined etiology with the highest level of causality was assigned similarly often with TOAST (35.9%), CCS (34.3%), and ASCO (38.7%). However, the frequency of undetermined causes differed significantly between the classification systems and was lowest for ASCO (TOAST: 46.4%; CCS: 37.5%; ASCO: 18.5%; p CCS, and ASCO, cardioembolism (19.4/14.5/18.5%) was the most common etiology, followed by atherosclerosis (11.7/12.9/14.5%). At 3 months, 33 patients (13.3%, 95% confidence interval 9.3-18.2%) had recurrent cerebral ischemic events. These were strokes in 13 patients (5.2%; 95% confidence interval 2.8-8.8%) and TIAs in 20 patients (8.1%, 95% confidence interval 5.0-12.2%). Patients with a determined etiology (high level of causality) had higher rates of subsequent strokes than those without a determined etiology [TOAST: 6.7% (95% confidence interval 2.5-14.1%) vs. 4.4% (95% confidence interval 1.8-8.9%); CSS: 9.3% (95% confidence interval 4.1-17.5%) vs. 3.1% (95% confidence interval 1.0-7.1%); ASCO: 9.4% (95% confidence interval 4.4-17.1%) vs. 2.6% (95% confidence interval

Angiotensinogen gene polymorphism predicts hypertension, and iridological constitutional classification enhances the risk for hypertension in Koreans.

Science.gov (United States)

Cho, Joo-Jang; Hwang, Woo-Jun; Hong, Seung-Heon; Jeong, Hyun-Ja; Lee, Hye-Jung; Kim, Hyung-Min; Um, Jae-Young

2008-05-01

This study investigated the relationship between iridological constitution and angiotensinogen (AGN) gene polymorphism in hypertensives. In addition to angiotensin converting enzyme gene, AGN genotype is also one of the most well studied genetic markers of hypertension. Furthermore, iridology, one of complementary and alternative medicine, is the diagnosis of the medical conditions through noting irregularities of the pigmentation in the iris. Iridological constitution has a strong familial aggregation and is implicated in heredity. Therefore, the study classified 87 hypertensive patients with familial history of cerebral infarction and controls (n = 88) according to Iris constitution, and determined AGN genotype. As a result, the AGN/TT genotype was associated with hypertension (chi2 = 13.413, p iridological constitutional classification increased the relative risk for hypertension in the subjects with AGN/T allele. These results suggest that AGN polymorphism predicts hypertension, and iridological constitutional classification enhances the risk for hypertension associated with AGN/T in a Korean population.

Commentary: Using Impedance Cardiography to Detect Asymptomatic Cardiovascular Disease in Prehypertensive Adults with Risk Factors.

Science.gov (United States)

DeMarzo, Arthur P

2018-06-01

New guidelines on hypertension eliminated the classification of prehypertension and divided those blood pressure (BP) levels into elevated BP and stage 1 hypertension. For elevated BP, this study showed that cardiovascular (CV) abnormalities were prevalent in adults over 40 years of age with at least 2 CV risk factors. Detecting abnormalities of the CV system moves a patient from being at high risk to having earlystage cardiovascular disease (CVD) and supports a decision to treat. By redefining stage 1 and lowering the target BP, the new guidelines have set an ambitious goal for early intervention to prevent progression of CVD. Proper drug selection and titration are critical. Hypertensive patients have diverse CV abnormalities that can be quantified by impedance cardiography. By stratifying patients with ventricular, vascular, and hemodynamic abnormalities, treatment can be customized based on the abnormal underlying mechanisms to rapidly control BP and prevent progression of CVD.

Infectious disease risks among refugees from North Korea.

Science.gov (United States)

Nishiura, Hiroshi; Lee, Hyojung; Yuan, Baoyin; Endo, Akira; Akhmetzhanov, Andrei R; Chowell, Gerardo

2018-01-01

The characteristics of disease in North Korea, including severe malnutrition and infectious disease risks, have not been openly and widely analyzed. This study was performed to estimate the risks of infectious diseases among refugees from North Korea. A literature review of clinical studies among North Korean defectors was conducted to statistically estimate the risks of infectious diseases among North Korean subjects. A total of six groups of data from five publications covering the years 2004 to 2014 were identified. Tuberculosis and viral hepatitis appeared to be the two most common infectious diseases, especially among adult refugees. When comparing the risks of infectious diseases between North Korean and Syrian refugees, it is critical to remember that Plasmodium vivax malaria has been endemic in North Korea, while cutaneous leishmaniasis has frequently been seen among Syrian migrants. Valuable datasets from health surveys of defectors were reviewed. In addition to tuberculosis and viral hepatitis, which were found to be the two most common infectious diseases, a special characteristic of North Korean defectors was Plasmodium vivax malaria. This needs to be added to the list of differential diagnoses for pyretic patients. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

On the integrity of functional brain networks in schizophrenia, Parkinson's disease, and advanced age: Evidence from connectivity-based single-subject classification.

Science.gov (United States)

Pläschke, Rachel N; Cieslik, Edna C; Müller, Veronika I; Hoffstaedter, Felix; Plachti, Anna; Varikuti, Deepthi P; Goosses, Mareike; Latz, Anne; Caspers, Svenja; Jockwitz, Christiane; Moebus, Susanne; Gruber, Oliver; Eickhoff, Claudia R; Reetz, Kathrin; Heller, Julia; Südmeyer, Martin; Mathys, Christian; Caspers, Julian; Grefkes, Christian; Kalenscher, Tobias; Langner, Robert; Eickhoff, Simon B

2017-12-01

Previous whole-brain functional connectivity studies achieved successful classifications of patients and healthy controls but only offered limited specificity as to affected brain systems. Here, we examined whether the connectivity patterns of functional systems affected in schizophrenia (SCZ), Parkinson's disease (PD), or normal aging equally translate into high classification accuracies for these conditions. We compared classification performance between pre-defined networks for each group and, for any given network, between groups. Separate support vector machine classifications of 86 SCZ patients, 80 PD patients, and 95 older adults relative to their matched healthy/young controls, respectively, were performed on functional connectivity in 12 task-based, meta-analytically defined networks using 25 replications of a nested 10-fold cross-validation scheme. Classification performance of the various networks clearly differed between conditions, as those networks that best classified one disease were usually non-informative for the other. For SCZ, but not PD, emotion-processing, empathy, and cognitive action control networks distinguished patients most accurately from controls. For PD, but not SCZ, networks subserving autobiographical or semantic memory, motor execution, and theory-of-mind cognition yielded the best classifications. In contrast, young-old classification was excellent based on all networks and outperformed both clinical classifications. Our pattern-classification approach captured associations between clinical and developmental conditions and functional network integrity with a higher level of specificity than did previous whole-brain analyses. Taken together, our results support resting-state connectivity as a marker of functional dysregulation in specific networks known to be affected by SCZ and PD, while suggesting that aging affects network integrity in a more global way. Hum Brain Mapp 38:5845-5858, 2017. © 2017 Wiley Periodicals, Inc. © 2017

Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data

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Cheung Leo

2007-02-01

Full Text Available Abstract Background Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more important for our understanding of diseases at genomic level. Although many machine learning methods have been developed and applied to the area of microarray gene expression data analysis, the majority of them are based on linear models, which however are not necessarily appropriate for the underlying connection between the target disease and its associated explanatory genes. Linear model based methods usually also bring in false positive significant features more easily. Furthermore, linear model based algorithms often involve calculating the inverse of a matrix that is possibly singular when the number of potentially important genes is relatively large. This leads to problems of numerical instability. To overcome these limitations, a few non-linear methods have recently been introduced to the area. Many of the existing non-linear methods have a couple of critical problems, the model selection problem and the model parameter tuning problem, that remain unsolved or even untouched. In general, a unified framework that allows model parameters of both linear and non-linear models to be easily tuned is always preferred in real-world applications. Kernel-induced learning methods form a class of approaches that show promising potentials to achieve this goal. Results A hierarchical statistical model named kernel-imbedded Gaussian process (KIGP is developed under a unified Bayesian framework for binary disease classification problems using microarray gene expression data. In particular, based on a probit regression setting, an adaptive algorithm with a cascading structure is designed to find the appropriate kernel, to discover the potentially significant genes, and to make the optimal class prediction accordingly. A Gibbs sampler is built as the core of the algorithm to make

Total cardiovascular disease risk assessment: a review.

LENUS (Irish Health Repository)

Cooney, Marie Therese

2011-09-01

The high risk strategy for the prevention of cardiovascular disease (CVD) requires an assessment of an individual\\'s total CVD risk so that the most intensive risk factor management can be directed towards those at highest risk. Here we review developments in the assessment and estimation of total CVD risk.

Correlation of Estradiol Serum Levels with Classification of Osteoporosis Risk OSTA (Osteoporosis Self-Assessment Tools for Asian in Menopause Women

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Eva Maya Puspita

2017-01-01

Full Text Available Background: In postmenopausal women, decreasing estrogen levels is a marker of ovarian dysfunction. Hypoestrogenic state has known increasing the risk of osteoporosis. Objective: To determine the correlation between estradiol serum levels with classification of osteoporosis risk OSTA (Osteoporosis Self-Assessment Tools for Asian in menopausal women. Methods: This study was case series study which examined estradiol serum in menopausal women by ELISA and assess the osteoporosis risk using osteoporosis risk classification OSTA. Total 47 samples was collected at Dr. H.Adam malik, dr. Pirngadi, and RSU Networking in Medan. This research was conducted from May to December 2016. Data were statistically analyzed, and presented with Spearman test. Results: In this study, we found the mean levels of estradiol in menopausal women was 18.62 ± 16.85 ng / ml with OSTA osteoporosis risk score of 2.09 ± 2.45. There was a significant positive correlation between estradiol and risk of osteoporosis OSTA with correlation coefficient r = 0.825 and p <0.05. Conclusion: There is a strong positive correlation between serum levels of estradiol with OSTA osteoporosis risk assessment in menopausal women.

The Value of Ensari’s Proposal in Evaluating the Mucosal Pathology of Childhood Celiac Disease: Old Classification versus New Version

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Gülçin Güler Şimşek

2012-09-01

Full Text Available Objective: Small intestinal biopsy remains the gold standard in diagnosing celiac disease (CD; however, the wide spectrum of histopathological states and differential diagnosis of CD is still a diagnostic problem for pathologists. Recently, Ensari reviewed the literature and proposed an update of the histopathological diagnosis and classification for CD. Materials and Methods: In this study, the histopathological materials of 54 children in whom CD was diagnosed at our hospital were reviewed to compare the previous Marsh and Modified Marsh-Oberhuber classifications with this new proposal. Results: In this study, we show that the Ensari classification is as accurate as the Marsh and Modified Marsh classifications in describing the consecutive states of mucosal damage seen in CD.Conclusions: Ensari’s classification is simple, practical and facilitative in diagnosing and subtyping of mucosal pathology of CD.

Periodontal Disease, Tooth Loss, and Cancer Risk.

Science.gov (United States)

Michaud, Dominique S; Fu, Zhuxuan; Shi, Jian; Chung, Mei

2017-01-01

Periodontal disease, which includes gingivitis and periodontitis, is highly prevalent in adults and disease severity increases with age. The relationship between periodontal disease and oral cancer has been examined for several decades, but there is increasing interest in the link between periodontal disease and overall cancer risk, with systemic inflammation serving as the main focus for biological plausibility. Numerous case-control studies have addressed the role of oral health in head and neck cancer, and several cohort studies have examined associations with other types of cancers over the past decade. For this review, we included studies that were identified from either 11 published reviews on this topic or an updated literature search on PubMed (between 2011 and July 2016). A total of 50 studies from 46 publications were included in this review. Meta-analyses were conducted on cohort and case-control studies separately when at least 4 studies could be included to determine summary estimates of the risk of cancer in relation to 1) periodontal disease or 2) tooth number (a surrogate marker of periodontal disease) with adjustment for smoking. Existing data provide support for a positive association between periodontal disease and risk of oral, lung, and pancreatic cancers; however, additional prospective studies are needed to better inform on the strength of these associations and to determine whether other cancers are associated with periodontal disease. Future studies should include sufficiently large sample sizes, improved measurements for periodontal disease, and thorough adjustment for smoking and other risk factors. © The Author 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer's Disease

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Denis P Shamonin

2014-01-01

Full Text Available Nonrigid image registration is an important, but time-consuming taskin medical image analysis. In typical neuroimaging studies, multipleimage registrations are performed, i.e. for atlas-based segmentationor template construction. Faster image registration routines wouldtherefore be beneficial.In this paper we explore acceleration of the image registrationpackage elastix by a combination of several techniques: iparallelization on the CPU, to speed up the cost function derivativecalculation; ii parallelization on the GPU building on andextending the OpenCL framework from ITKv4, to speed up the Gaussianpyramid computation and the image resampling step; iii exploitationof certain properties of the B-spline transformation model; ivfurther software optimizations.The accelerated registration tool is employed in a study ondiagnostic classification of Alzheimer's disease and cognitivelynormal controls based on T1-weighted MRI. We selected 299participants from the publicly available Alzheimer's DiseaseNeuroimaging Initiative database. Classification is performed with asupport vector machine based on gray matter volumes as a marker foratrophy. We evaluated two types of strategies (voxel-wise andregion-wise that heavily rely on nonrigid image registration.Parallelization and optimization resulted in an acceleration factorof 4-5x on an 8-core machine. Using OpenCL a speedup factor of ~2was realized for computation of the Gaussian pyramids, and 15-60 forthe resampling step, for larger images. The voxel-wise and theregion-wise classification methods had an area under thereceiver operator characteristic curve of 88% and 90%,respectively, both for standard and accelerated registration.We conclude that the image registration package elastix wassubstantially accelerated, with nearly identical results to thenon-optimized version. The new functionality will become availablein the next release of elastix as open source under the BSD license.

Daytime napping and increased risk of incident respiratory diseases: symptom, marker, or risk factor?

Science.gov (United States)

Leng, Yue; Wainwright, Nick W J; Cappuccio, Francesco P; Surtees, Paul G; Hayat, Shabina; Luben, Robert; Brayne, Carol; Khaw, Kay-Tee

2016-07-01

We have identified a strong association between daytime napping and increased mortality risk from respiratory diseases, but little is known about the relationship between daytime napping and respiratory morbidity. Data were drawn from the European Prospective Investigation into Cancer and Nutrition-Norfolk cohort. Participants reported napping habits during 1998-2000 and were followed up for respiratory disease hospital admissions until March 2009. Cox proportional hazards regression was used to examine the association between daytime napping and respiratory disease incidence risk. The study sample included 10,978 men and women with a mean age of 61.9 years, and a total of 946 incident respiratory disease cases were recorded. After adjustment for age, sex, social class, education, marital status, employment status, nightshift work, body mass index, physical activity, smoking, alcohol intake, self-reported general health, hypnotic drug use, habitual sleep duration, and preexisting health conditions, daytime napping was associated with an increase in the overall respiratory disease incidence risk (hazard ratio (HR) = 1.32, 95% confidence interval (CI) 1.15, 1.52 for napping respiratory diseases, especially for the risk of chronic lower respiratory diseases (HR = 1.52, 95% CI: 1.18, 1.96 for napping respiratory disease incidence risk. Further studies are required to confirm these findings and help understand potential mechanisms. Copyright © 2016 The Author(s). Published by Elsevier B.V. All rights reserved.

New guidelines for dam safety classification

International Nuclear Information System (INIS)

Dascal, O.

1999-01-01

Elements are outlined of recommended new guidelines for safety classification of dams. Arguments are provided for the view that dam classification systems should require more than one system as follows: (a) classification for selection of design criteria, operation procedures and emergency measures plans, based on potential consequences of a dam failure - the hazard classification of water retaining structures; (b) classification for establishment of surveillance activities and for safety evaluation of dams, based on the probability and consequences of failure - the risk classification of water retaining structures; and (c) classification for establishment of water management plans, for safety evaluation of the entire project, for preparation of emergency measures plans, for definition of the frequency and extent of maintenance operations, and for evaluation of changes and modifications required - the hazard classification of the project. The hazard classification of the dam considers, as consequence, mainly the loss of lives or persons in jeopardy and the property damages to third parties. Difficulties in determining the risk classification of the dam lie in the fact that no tool exists to evaluate the probability of the dam's failure. To overcome this, the probability of failure can be substituted for by a set of dam characteristics that express the failure potential of the dam and its foundation. The hazard classification of the entire project is based on the probable consequences of dam failure influencing: loss of life, persons in jeopardy, property and environmental damage. The classification scheme is illustrated for dam threatening events such as earthquakes and floods. 17 refs., 5 tabs

Cardiovascular risk factors and disease in women.

Science.gov (United States)

Gill, Sharon K

2015-05-01

Coronary artery disease and stroke predominantly affect older women as opposed to younger women, but the risk factors that contribute to atherosclerotic cardiovascular disease risk often start in young women. Young women with polycystic ovary syndrome (PCOS), with migraine, and who use oral contraceptive pills (OCPs) have short-term increases in thrombotic complications that can result in coronary events or stroke. Attention should be focused on risk reduction in women of all ages. Screening for and discussing diabetes, hypertension, obesity, smoking, migraine, PCOS, and pregnancy complication history and discussing the pros and cons of hormone and statin medications are part of reducing cardiovascular risk for women. Published by Elsevier Inc.

Estimation of cancer risks from radiotherapy of benign diseases

International Nuclear Information System (INIS)

Trott, K.R.; Kamprad, F.

2006-01-01

Background: The effective-dose method which was proposed by the ICRP (International Commission of Radiation Protection) for the estimation of risk to the general population from occupational or environmental, low-dose radiation exposure is not adequate for estimating the risk of cancer induction by radiotherapy of malignant or nonmalignant diseases. Methods:The risk of cancer induction by radiotherapy of benign diseases should be based on epidemiologic data directly derived from follow-up studies of patients who had been given radiotherapy for nonmalignant diseases in the past. Results: Risk factors were derived from epidemiologic studies of patients treated with irradiation for nonmalignant diseases to be used for selecting treatment options and optimizing treatment procedures. Conclusion: In most cases, cancer risks estimated by the effective-dose method may overestimate the true risks by one order of magnitude, yet in other cases even may underestimate it. The proposed method using organ-specific risk factors may be more suitable for treatment planning. (orig.)

Long-term follow-up of a patient cohort with Legg-Calvé-Perthes disease

DEFF Research Database (Denmark)

Froberg, Lonnie; Christensen, Finn; Pedersen, Niels W

2011-01-01

system were applied. A significant correlation between the Herring group and Stulberg was found (P=0.03). There was a significant correlation between age at onset of the disease and Stulberg outcome (P=0.05). The Herring classification correlated to the Stulberg outcome. An age of 7 years or more......The purpose of this study was to evaluate prognostic risk factors related to a poor radiological outcome. The study consisted of 74 patients with Legg-Calvé-Perthes disease treated using a Thomas splint. The modified Herring lateral pillar classification and the reviewed Stulberg classification...

Risks of circulatory diseases among Mayak PA workers with radiation doses estimated using the improved Mayak Worker Dosimetry System 2008

Energy Technology Data Exchange (ETDEWEB)

Moseeva, Maria B.; Azizova, Tamara V.; Grigoryeva, Evgenia S. [Southern Urals Biophysics Institute (SUBI), Ozyorsk, Chelyabinsk Region (Russian Federation); Haylock, Richard [Public Health of England, London (United Kingdom)

2014-05-15

The new Mayak Worker Dosimetry System 2008 (MWDS-2008) was published in 2013 and supersedes the Doses-2005 dosimetry system for Mayak Production Association (PA) workers. It provides revised external and internal dose estimates based on the updated occupational history data. Using MWDS-2008, a cohort of 18,856 workers first employed at one of the main Mayak PA plants during 1948-1972 and followed up to 2005 was identified. Incidence and mortality risks from ischemic heart disease (IHD) (International Classification of Diseases (ICD)-9 codes 410-414) and from cerebrovascular diseases (CVD) (ICD-9 codes 430-438) were examined in this cohort and compared with previously published risk estimates in the same cohort based on the Doses-2005 dosimetry system. Significant associations were observed between doses from external gamma-rays and IHD and CVD incidence and also between internal doses from alpha-radiation and IHD mortality and CVD incidence. The estimates of excess relative risk (ERR)/Gy were consistent with those estimates from the previous studies based on Doses-2005 system apart from the relationship between CVD incidence and internal liver dose where the ERR/Gy based on MWDS-2008 was just over three times higher than the corresponding estimate based on Doses-2005 system. Adjustment for smoking status did not show any effect on the estimates of risk from internal alpha-particle exposure. (orig.)

Revisiting Classification of Eating Disorders-toward Diagnostic and Statistical Manual of Mental Disorders-5 and International Statistical Classification of Diseases and Related Health Problems-11.

Science.gov (United States)

Goyal, Shrigopal; Balhara, Yatan Pal Singh; Khandelwal, S K

2012-07-01

Two of the most commonly used nosological systems- International Statistical Classification of Diseases and Related Health Problems (ICD)-10 and Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV are under revision. This process has generated a lot of interesting debates with regards to future of the current diagnostic categories. In fact, the status of categorical approach in the upcoming versions of ICD and DSM is also being debated. The current article focuses on the debate with regards to the eating disorders. The existing classification of eating disorders has been criticized for its limitations. A host of new diagnostic categories have been recommended for inclusion in the upcoming revisions. Also the structure of the existing categories has also been put under scrutiny.

Urogenital tuberculosis: definition and classification.

Science.gov (United States)

Kulchavenya, Ekaterina

2014-10-01

To improve the approach to the diagnosis and management of urogenital tuberculosis (UGTB), we need clear and unique classification. UGTB remains an important problem, especially in developing countries, but it is often an overlooked disease. As with any other infection, UGTB should be cured by antibacterial therapy, but because of late diagnosis it may often require surgery. Scientific literature dedicated to this problem was critically analyzed and juxtaposed with the author's own more than 30 years' experience in tuberculosis urology. The conception, terms and definition were consolidated into one system; classification stage by stage as well as complications are presented. Classification of any disease includes dispersion on forms and stages and exact definitions for each stage. Clinical features and symptoms significantly vary between different forms and stages of UGTB. A simple diagnostic algorithm was constructed. UGTB is multivariant disease and a standard unified approach to it is impossible. Clear definition as well as unique classification are necessary for real estimation of epidemiology and the optimization of therapy. The term 'UGTB' has insufficient information in order to estimate therapy, surgery and prognosis, or to evaluate the epidemiology.

A foot risk classification system to predict diabetic amputation in Pima Indians.

Science.gov (United States)

Mayfield, J A; Reiber, G E; Nelson, R G; Greene, T

1996-07-01

To quantify the contribution of various risk factors to the risk of amputation in diabetic patients and to develop a foot risk scoring system based on clinical data. A population case-control study was undertaken. Eligible subjects were 1) 25-85 years of age, 2) diabetic, 3) 50% or more Pima or Tohono O'odham Indian, 4) lived in the Gila River Indian Community, and 5) had had at least one National Institutes of Health research examination. Case patients had had an incident lower extremity amputation between 1983 and 1992; control subjects had no amputation by 1992. Medical records were reviewed to determine risk conditions and health status before the pivotal event that led to the amputation. Sixty-one people with amputations were identified and compared with 183 control subjects. Men were more likely to suffer amputation than women (odds ratio [OR] 6.5, 95% CI 2.6-15), and people with diabetic eye, renal, or cardiovascular disease were more likely to undergo amputation than those without (OR 4.6, 95% CI 1.7-12). The risk of amputation was almost equally associated with these foot risk factors: peripheral neuropathy, peripheral vascular disease, bony deformities, and a history of foot ulcers. After controlling for demographic differences and diabetes severity, the ORs for amputation with one foot risk factor was 2.1 (95% CI 1.4-3.3), with two risk factors, 4.5 (95% CI 2.9-6.9), and with three or four risk factors, 9.7 (95% CI 6.3-14.8). Male Sex, end-organ complications of eye, heart, and kidney, and poor glucose control were associated with a higher amputation rate. Peripheral neuropathy, peripheral vascular disease, deformity, and a prior ulcer were similarly equally associated with an increased risk of lower extremity amputation.

Mild pulmonary emphysema a risk factor for interstitial lung disease when using cetuximab for squamous cell carcinoma of the head and neck.

Science.gov (United States)

Okamoto, Isaku; Tsukahara, Kiyoaki; Sato, Hiroki; Motohashi, Ray; Yunaiyama, Daisuke; Shimizu, Akira

2017-12-01

Interstitial lung disease (ILD) is an occasionally fatal adverse event associated with cetuximab (Cmab) therapy. Our objective was to clarify to what degree pulmonary emphysema is a risk factor in the treatment of head and neck cancer with Cmab through a retrospective analysis. Subjects were 116 patients who were administered Cmab for head and neck squamous cell carcinoma. The degree of pulmonary emphysema before initiating treatment with Cmab was visually assessed retrospectively, with scoring according to the Goddard classification used in Japanese chronic obstructive pulmonary disease (COPD) guidelines for chest computed tomography (CT). Scoring was conducted by two diagnostic radiologists and mean scores were used. Cutoffs for the development and nondevelopment of ILD were examined by receiver operating characteristic (ROC) analysis and Fisher's exact test. Values of p pulmonary emphysema would represent a risk factor for ILD when using Cmab.

Modelling the Happiness Classification of Addicted, Addiction Risk, Threshold and Non-Addicted Groups on Internet Usage

Science.gov (United States)

Sapmaz, Fatma; Totan, Tarik

2018-01-01

The aim of this study is to model the happiness classification of university students--grouped as addicted, addiction risk, threshold and non-addicted to internet usage--with compatibility analysis on a map as happiness, average and unhappiness. The participants in this study were 400 university students from Turkey. According to the results of…

Emerging infectious disease outbreaks: estimating disease risk in Australian blood donors travelling overseas.

Science.gov (United States)

Coghlan, A; Hoad, V C; Seed, C R; Flower, R Lp; Harley, R J; Herbert, D; Faddy, H M

2018-01-01

International travel assists spread of infectious pathogens. Australians regularly travel to South-eastern Asia and the isles of the South Pacific, where they may become infected with infectious agents, such as dengue (DENV), chikungunya (CHIKV) and Zika (ZIKV) viruses that pose a potential risk to transfusion safety. In Australia, donors are temporarily restricted from donating for fresh component manufacture following travel to many countries, including those in this study. We aimed to estimate the unmitigated transfusion-transmission (TT) risk from donors travelling internationally to areas affected by emerging infectious diseases. We used the European Up-Front Risk Assessment Tool, with travel and notification data, to estimate the TT risk from donors travelling to areas affected by disease outbreaks: Fiji (DENV), Bali (DENV), Phuket (DENV), Indonesia (CHIKV) and French Polynesia (ZIKV). We predict minimal risk from travel, with the annual unmitigated risk of an infected component being released varying from 1 in 1·43 million to disease outbreak areas to source plasma collection provides a simple and effective risk management approach. © 2017 International Society of Blood Transfusion.

Screening for Peripheral Artery Disease and Cardiovascular Disease Risk Assessment with Ankle Brachial Index in Adults

Science.gov (United States)

... Force Recommendations Screening for Peripheral Artery Disease and Cardiovascular Disease Risk Assessment with Ankle Brachial Index in Adults ... on Screening for Peripheral Artery Disease (PAD) and Cardiovascular Disease (CVD) Risk Assessment with Ankle Brachial Index (ABI) ...

Postmenopausal Estrogen Therapy and Risk of Gallstone Disease

DEFF Research Database (Denmark)

Simonsen, Maja Hellfritzsch; Erichsen, Rune; Frøslev, Trine

2013-01-01

BACKGROUND: Female gender and increasing age are key risk factors for gallstone disease; therefore, postmenopausal women are at high risk. Estrogen increases cholesterol saturation of bile and may further increase gallstone risk, but population-based evidence is sparse. OBJECTIVE: Our objective......, and parity. RESULTS: We identified 16,386 cases with gallstone disease and 163,860 controls. A total of 1,425 cases (8.7 %) and 8,930 controls (5.4 %) were current estrogen users, yielding an adjusted OR for gallstone disease of 1.74 (95 % CI 1.64-1.85) compared with non-users. The corresponding adjusted...

Lyme disease and Bell's palsy: an epidemiological study of diagnosis and risk in England.

Science.gov (United States)

Cooper, Lilli; Branagan-Harris, Michael; Tuson, Richard; Nduka, Charles

2017-05-01

Lyme disease is caused by a tick-borne spirochaete of the Borrelia species. It is associated with facial palsy, is increasingly common in England, and may be misdiagnosed as Bell's palsy. To produce an accurate map of Lyme disease diagnosis in England and to identify patients at risk of developing associated facial nerve palsy, to enable prevention, early diagnosis, and effective treatment. Hospital episode statistics (HES) data in England from the Health and Social Care Information Centre were interrogated from April 2011 to March 2015 for International Classification of Diseases 10th revision (ICD-10) codes A69.2 (Lyme disease) and G51.0 (Bell's palsy) in isolation, and as a combination. Patients' age, sex, postcode, month of diagnosis, and socioeconomic groups as defined according to the English Indices of Deprivation (2004) were also collected. Lyme disease hospital diagnosis increased by 42% per year from 2011 to 2015 in England. Higher incidence areas, largely rural, were mapped. A trend towards socioeconomic privilege and the months of July to September was observed. Facial palsy in combination with Lyme disease is also increasing, particularly in younger patients, with a mean age of 41.7 years, compared with 59.6 years for Bell's palsy and 45.9 years for Lyme disease ( P = 0.05, analysis of variance [ANOVA]). Healthcare practitioners should have a high index of suspicion for Lyme disease following travel in the areas shown, particularly in the summer months. The authors suggest that patients presenting with facial palsy should be tested for Lyme disease. © British Journal of General Practice 2017.

Oximeter-based autonomic state indicator algorithm for cardiovascular risk assessment.

Science.gov (United States)

Grote, Ludger; Sommermeyer, Dirk; Zou, Ding; Eder, Derek N; Hedner, Jan

2011-02-01

Cardiovascular (CV) risk assessment is important in clinical practice. An autonomic state indicator (ASI) algorithm based on pulse oximetry was developed and validated for CV risk assessment. One hundred forty-eight sleep clinic patients (98 men, mean age 50 ± 13 years) underwent an overnight study using a novel photoplethysmographic sensor. CV risk was classified according to the European Society of Hypertension/European Society of Cardiology (ESH/ESC) risk factor matrix. Five signal components reflecting cardiac and vascular activity (pulse wave attenuation, pulse rate acceleration, pulse propagation time, respiration-related pulse oscillation, and oxygen desaturation) extracted from 99 randomly selected subjects were used to train the classification algorithm. The capacity of the algorithm for CV risk prediction was validated in 49 additional patients. Each signal component contributed independently to CV risk prediction. The sensitivity and specificity of the algorithm to distinguish high/low CV risk in the validation group were 80% and 77%, respectively. The area under the receiver operating characteristic curve for high CV risk classification was 0.84. β-Blocker treatment was identified as an important factor for classification that was not in line with the ESH/ESC reference matrix. Signals derived from overnight oximetry recording provide a novel potential tool for CV risk classification. Prospective studies are warranted to establish the value of the ASI algorithm for prediction of outcome in CV disease.

Classification of voluntary coughs applied to the screening of respiratory disease.

Science.gov (United States)

Infante, Christian; Chamberlain, Daniel B; Kodgule, Rahul; Fletcher, Richard Ribon

2017-07-01

Pulmonary and respiratory diseases (e.g. asthma, COPD, allergies, pneumonia, tuberculosis, etc.) represent a large proportion of the global disease burden, mortality, and disability. In this context of creating automated diagnostic tools, we explore how the analysis of voluntary cough sounds may be used to screen for pulmonary disease. As a clinical study, voluntary coughs were recorded using a custom mobile phone stethoscope from 54 patients, of which 7 had COPD, 15 had asthma, 11 had allergic rhinitis, 17 had both asthma and allergic rhinitis, and four had both COPD and allergic rhinitis. Data were also collected from 33 healthy subjects. These patients also received full auscultation at 11 sites, given a clinical questionnaire, and underwent full pulmonary function testing (spirometer, body plethysmograph, DLCO) which culminated in a diagnosis provided by an experienced pulmonologist. From machine learning analysis of these data, we show that it is possible to achieve good classification of cough sounds in terms of Wet vs Dry, yielding an ROC curve with AUC of 0.94, and show that voluntary coughs can serve as an effective test for determining Healthy vs Unhealthy (sensitivity=35.7% specificity=100%). We also show that the use of cough sounds can enhance the performance of other diagnostic tools such as a patient questionnaire and peak flow meter; however voluntary coughs alone provide relatively little value in determining specific disease diagnosis.

[Evaluation of the appropriateness of hospital admissions using the iso-gravity classification systems APR-DRG and Disease Staging and the Italian version of Appropriateness Evaluation Protocol (AEP)].

Science.gov (United States)

D'Andrea, G; Capalbo, G; Volpe, M; Marchetti, M; Vicentini, F; Capelli, G; Cambieri, A; Cicchetti, A; Ricciardi, G; Catananti, C

2006-01-01

Our main purpose was to evaluate the organizational appropriateness of admissions made in a university hospital, by comparing two iso-gravity classification systems, APR-DRG and Disease Staging, with the Italian version of AEP (PRUO). Our analysis focused on admissions made in 2001, related to specific Diagnosis Related Groups (DRGs), which, according an Italian Law, would be considered at high risk of inappropriateness, if treated as ordinary admissions. The results obtained by using the 2 classification systems did not show statistically significant differences with respect to the total number of admissions. On the other hand, some DRGs showed statistically significant differences due to different algorithms of attribution of the severity levels used by the two systems. For almost all of the DRGs studied, the AEP-based analysis of a sample of medical records showed an higher number of inappropriate admissions in comparison with the number expected by iso-gravity classification methods. The difference is possibly due to the percentage limits of tolerability fixed by the Law for each DRG. Therefore, the authors suggest an integrated use of the two methods to evaluate organizational appropriateness of hospital admissions.

Identification of high-risk cutaneous melanoma tumors is improved when combining the online American Joint Committee on Cancer Individualized Melanoma Patient Outcome Prediction Tool with a 31-gene expression profile-based classification.

Science.gov (United States)

Ferris, Laura K; Farberg, Aaron S; Middlebrook, Brooke; Johnson, Clare E; Lassen, Natalie; Oelschlager, Kristen M; Maetzold, Derek J; Cook, Robert W; Rigel, Darrell S; Gerami, Pedram

2017-05-01

A significant proportion of patients with American Joint Committee on Cancer (AJCC)-defined early-stage cutaneous melanoma have disease recurrence and die. A 31-gene expression profile (GEP) that accurately assesses metastatic risk associated with primary cutaneous melanomas has been described. We sought to compare accuracy of the GEP in combination with risk determined using the web-based AJCC Individualized Melanoma Patient Outcome Prediction Tool. GEP results from 205 stage I/II cutaneous melanomas with sufficient clinical data for prognostication using the AJCC tool were classified as low (class 1) or high (class 2) risk. Two 5-year overall survival cutoffs (AJCC 79% and 68%), reflecting survival for patients with stage IIA or IIB disease, respectively, were assigned for binary AJCC risk. Cox univariate analysis revealed significant risk classification of distant metastasis-free and overall survival (hazard ratio range 3.2-9.4, P risk by GEP but low risk by AJCC. Specimens reflect tertiary care center referrals; more effective therapies have been approved for clinical use after accrual. The GEP provides valuable prognostic information and improves identification of high-risk melanomas when used together with the AJCC online prediction tool. Copyright © 2016 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.

Is schizophrenia associated with an increased risk of chronic kidney disease? A nationwide matched-cohort study.

Science.gov (United States)

Tzeng, Nian-Sheng; Hsu, Yung-Ho; Ho, Shinn-Ying; Kuo, Yu-Ching; Lee, Hua-Chin; Yin, Yun-Ju; Chen, Hong-An; Chen, Wen-Liang; Chu, William Cheng-Chung; Huang, Hui-Ling

2015-01-27

The impact of schizophrenia on vital diseases, such as chronic kidney disease (CKD), has not as yet been verified. This study aims to establish whether there is an association between schizophrenia and CKD. A nationwide matched cohort study. Taiwan's National Health Insurance Research Database. A total of 2338 patients with schizophrenia, and 7014 controls without schizophrenia (1:3), matched cohort for sex, age group, geography, urbanisation and monthly income, between 1 January 2003 and 31 December 2007, based on the International Classifications of Disease Ninth Edition (ICD-9), Clinical Modification codes. After making adjustments for confounding risk factors, a Cox proportional hazards model was used to compare the risk of developing CKD during a 3-year follow-up period from the index date. Of the 2338-subject case cohort, 163 (6.97%) developed a CKD, as did 365 (5.20%) of the 7014 control participants. Cox proportional hazards regression analysis revealed that patients with schizophrenia were more likely to develop CKD (HR=1.36, 95% CI 1.13 to 1.63; pschizophrenia was 1.25 (95% CI 1.04 to 1.50; prisk of CKD in patients with schizophrenia. The findings from this population-based retrospective cohort study suggest that schizophrenia is associated with a 25% increase in the risk of developing CKD within only a 3-year follow-up period. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Classification of stroke disease using convolutional neural network

Science.gov (United States)

Marbun, J. T.; Seniman; Andayani, U.

2018-03-01

Stroke is a condition that occurs when the blood supply stop flowing to the brain because of a blockage or a broken blood vessel. A symptoms that happen when experiencing stroke, some of them is a dropped consciousness, disrupted vision and paralyzed body. The general examination is being done to get a picture of the brain part that have stroke using Computerized Tomography (CT) Scan. The image produced from CT will be manually checked and need a proper lighting by doctor to get a type of stroke. That is why it needs a method to classify stroke from CT image automatically. A method proposed in this research is Convolutional Neural Network. CT image of the brain is used as the input for image processing. The stage before classification are image processing (Grayscaling, Scaling, Contrast Limited Adaptive Histogram Equalization, then the image being classified with Convolutional Neural Network. The result then showed that the method significantly conducted was able to be used as a tool to classify stroke disease in order to distinguish the type of stroke from CT image.

Rock slope instabilities in Norway: First systematic hazard and risk classification of 22 unstable rock slopes

Science.gov (United States)

Böhme, Martina; Hermanns, Reginald L.; Oppikofer, Thierry; Penna, Ivanna

2016-04-01

Unstable rock slopes that can cause large failures of the rock-avalanche type have been mapped in Norway for almost two decades. Four sites have earlier been characterized as high-risk objects based on expertise of few researchers. This resulted in installing continuous monitoring systems and set-up of an early-warning system for those four sites. Other unstable rock slopes have not been ranked related to their hazard or risk. There are ca. 300 other sites known of which 70 sites were installed for periodic deformation measurements using multiple techniques (Global Navigation Satellite Systems, extensometers, measurement bolts, and others). In 2012 a systematic hazard and risk classification system for unstable rock slopes was established in Norway and the mapping approach adapted to that in 2013. Now, the first 22 sites were classified for hazard, consequences and risk using this classification system. The selection of the first group of sites to be classified was based on an assumed high hazard or risk and importance given to the sites by Norwegian media and the public. Nine of the classified 22 unstable rock slopes are large sites that deform inhomogeneously or are strongly broken up in individual blocks. This suggests that different failure scenarios are possible that need to be analyzed individually. A total of 35 failure scenarios for those nine unstable rock slopes were considered. The hazard analyses were based on 9 geological parameters defined in the classification system. The classification system will be presented based on the Gamanjunni unstable rock slope. This slope has a well developed back scarp that exposes 150 m preceding displacement. The lateral limits of the unstable slope are clearly visible in the morphology and InSAR displacement data. There have been no single structures observed that allow sliding kinematically. The lower extend of the displacing rock mass is clearly defined in InSAR data and by a zone of higher rock fall activity. Yearly

Depression: risk factor for cardiovascular disease

NARCIS (Netherlands)

Kuehl, L.K.; Penninx, B.W.J.H.; Otte, C.

2012-01-01

Major depression is an independent risk factor for the development of cardiovascular disease. In patients with existing cardiovascular disease, major depression has a large impact on the quality of life and is associated with a poor course and prognosis. Potential mechanisms responsible for this

Chronic disease risk factors among hotel workers.

Science.gov (United States)

Gawde, Nilesh Chandrakant; Kurlikar, Prashika R

2016-01-01

Non-communicable diseases have emerged as a global health issue. Role of occupation in pathogenesis of non-communicable diseases has not been explored much especially in the hospitality industry. Objectives of this study include finding risk factor prevalence among hotel workers and studying relationship between occupational group and chronic disease risk factors chiefly high body mass index. A cross-sectional study was conducted among non-managerial employees from classified hotels in India. The study participants self-administered pre-designed pilot-tested questionnaires. The risk factor prevalence rates were expressed as percentages. Chi-square test was used for bi-variate analysis. Overweight was chosen as 'outcome' variable of interest and binary multi-logistic regression analysis was used to identify determinants. The prevalence rates of tobacco use, alcohol use, inadequate physical activity and inadequate intake of fruits and vegetables were 32%, 49%, 24% and 92% respectively among hotel employees. Tobacco use was significantly common among those in food preparation and service, alcohol use among those in food service and security and leisure time physical activity among front office workers. More than two-fifths (42.7%) were overweight. Among the hotel workers, those employed in food preparation and security had higher odds of 1.650 (CI: 1.025 - 2.655) and 3.245 (CI: 1.296 - 8.129) respectively of being overweight. Prevalence of chronic disease risk factors is high among hotel workers. Risk of overweight is significantly high in food preparation and security departments and workplace interventions are necessary to address these risks.

Vitamin D Deficiency : Universal Risk Factor for Multifactorial Diseases?

NARCIS (Netherlands)

de Borst, Martin H.; de Boer, Rudolf A.; Stolk, Ronald P.; Slaets, Joris P. J.; Wolffenbuttel, Bruce H. R.; Navis, Gerjan

In the Western world, the majority of morbidity and mortality are caused by multifactorial diseases. Some risk factors are related to more than one type of disease. These so-called universal risk factors are highly relevant to the population, as reduction of universal risk factors may reduce the

Credit scores, cardiovascular disease risk, and human capital.

Science.gov (United States)

Israel, Salomon; Caspi, Avshalom; Belsky, Daniel W; Harrington, HonaLee; Hogan, Sean; Houts, Renate; Ramrakha, Sandhya; Sanders, Seth; Poulton, Richie; Moffitt, Terrie E

2014-12-02

Credit scores are the most widely used instruments to assess whether or not a person is a financial risk. Credit scoring has been so successful that it has expanded beyond lending and into our everyday lives, even to inform how insurers evaluate our health. The pervasive application of credit scoring has outpaced knowledge about why credit scores are such useful indicators of individual behavior. Here we test if the same factors that lead to poor credit scores also lead to poor health. Following the Dunedin (New Zealand) Longitudinal Study cohort of 1,037 study members, we examined the association between credit scores and cardiovascular disease risk and the underlying factors that account for this association. We find that credit scores are negatively correlated with cardiovascular disease risk. Variation in household income was not sufficient to account for this association. Rather, individual differences in human capital factors—educational attainment, cognitive ability, and self-control—predicted both credit scores and cardiovascular disease risk and accounted for ∼45% of the correlation between credit scores and cardiovascular disease risk. Tracing human capital factors back to their childhood antecedents revealed that the characteristic attitudes, behaviors, and competencies children develop in their first decade of life account for a significant portion (∼22%) of the link between credit scores and cardiovascular disease risk at midlife. We discuss the implications of these findings for policy debates about data privacy, financial literacy, and early childhood interventions.

[Nursing care mapping for patients at risk of falls in the Nursing Interventions Classification].

Science.gov (United States)

Luzia, Melissa de Freitas; Almeida, Miriam de Abreu; Lucena, Amália de Fátima

2014-08-01

Identifying the prescribed nursing care for hospitalized patients at risk of falls and comparing them with the interventions of the Nursing Interventions Classifications (NIC). A cross-sectional study carried out in a university hospital in southern Brazil. It was a retrospective data collection in the nursing records system. The sample consisted of 174 adult patients admitted to medical and surgical units with the Nursing Diagnosis of Risk for falls. The prescribed care were compared with the NIC interventions by the cross-mapping method. The most prevalent care were the following: keeping the bed rails, guiding patients/family regarding the risks and prevention of falls, keeping the bell within reach of patients, and maintaining patients' belongings nearby, mapped in the interventions Environmental Management: safety and Fall Prevention. The treatment prescribed in clinical practice was corroborated by the NIC reference.

Cardiovascular Risks Associated with Incident and Prevalent Periodontal Disease

Science.gov (United States)

Yu, Yau-Hua; Chasman, Daniel I; Buring, Julie E; Rose, Lynda; Ridker, Paul M

2014-01-01

Aim While prevalent periodontal disease associates with cardiovascular risk, little is known about how incident periodontal disease influences future vascular risk. We compared effects of incident versus prevalent periodontal disease in developing major cardiovascular diseases (CVD), myocardial infarction (MI), ischemic stroke and total CVD. Material and Methods In a prospective cohort of 39863 predominantly white women, age ≥ 45 years and free of cardiovascular disease at baseline were followed for an average of 15.7 years. Cox proportional hazard models with time-varying periodontal status (prevalent [18%], incident [7.3%] vs. never [74.7%]) were used to assess future cardiovascular risks. Results Incidence rates of all CVD outcomes were higher in women with prevalent or incident periodontal disease. For women with incident periodontal disease, risk factor adjusted hazard ratios (HRs) were 1.42 (95% CI, 1.14–1.77) for major CVD, 1.72 (1.25–2.38) for MI, 1.41(1.02–1.95) for ischemic stroke, and 1.27(1.06–1.52) for total CVD. For women with prevalent periodontal disease, adjusted HRs were 1.14 (1.00–1.31) for major CVD, 1.27 (1.04–1.56) for MI, 1.12(0.91–1.37) for ischemic stroke, and 1.15(1.03–1.28) for total CVD. Conclusion New cases of periodontal disease, not just those that are pre-existing, place women at significantly elevated risks for future cardiovascular events. PMID:25385537

Vegetarian diet as a risk factor for symptomatic gallstone disease.

Science.gov (United States)

McConnell, T J; Appleby, P N; Key, T J

2017-06-01

Previous small studies have shown either no difference or a lower risk of symptomatic gallstone disease in vegetarians than in non-vegetarians. This study examined the incidence of symptomatic gallstone disease in a cohort of British vegetarians and non-vegetarians, and investigated the associations between nutrient intake and risk of symptomatic gallstone disease. The data were analysed from 49 652 adults enroled in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Oxford study, one-third of whom were vegetarian. The linked databases of hospital records were used to identify incident cases. Risk by diet group was estimated using Cox proportional hazards models. Further analysis quantified risk by intakes of selected macronutrients. There were 1182 cases of symptomatic gallstone disease during 687 822 person-years of follow-up (mean=13.85 years). There was a large significant association between increasing body mass index (BMI) and risk of developing symptomatic gallstone disease (overall trend Pvegetarians had a moderately increased risk compared with non-vegetarians (HR: 1.22; 95% CI: 1.06-1.41; P=0.006). Although starch consumption was positively associated with gallstones risk (P=0.002 for trend), it did not explain the increased risk in vegetarians. There is a highly significant association of increased BMI with risk of symptomatic gallstone disease. After adjusting for BMI, there is a small but statistically significant positive association between vegetarian diet and symptomatic gallstone disease.

Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease.

Science.gov (United States)

Shamonin, Denis P; Bron, Esther E; Lelieveldt, Boudewijn P F; Smits, Marion; Klein, Stefan; Staring, Marius

2013-01-01

Nonrigid image registration is an important, but time-consuming task in medical image analysis. In typical neuroimaging studies, multiple image registrations are performed, i.e., for atlas-based segmentation or template construction. Faster image registration routines would therefore be beneficial. In this paper we explore acceleration of the image registration package elastix by a combination of several techniques: (i) parallelization on the CPU, to speed up the cost function derivative calculation; (ii) parallelization on the GPU building on and extending the OpenCL framework from ITKv4, to speed up the Gaussian pyramid computation and the image resampling step; (iii) exploitation of certain properties of the B-spline transformation model; (iv) further software optimizations. The accelerated registration tool is employed in a study on diagnostic classification of Alzheimer's disease and cognitively normal controls based on T1-weighted MRI. We selected 299 participants from the publicly available Alzheimer's Disease Neuroimaging Initiative database. Classification is performed with a support vector machine based on gray matter volumes as a marker for atrophy. We evaluated two types of strategies (voxel-wise and region-wise) that heavily rely on nonrigid image registration. Parallelization and optimization resulted in an acceleration factor of 4-5x on an 8-core machine. Using OpenCL a speedup factor of 2 was realized for computation of the Gaussian pyramids, and 15-60 for the resampling step, for larger images. The voxel-wise and the region-wise classification methods had an area under the receiver operator characteristic curve of 88 and 90%, respectively, both for standard and accelerated registration. We conclude that the image registration package elastix was substantially accelerated, with nearly identical results to the non-optimized version. The new functionality will become available in the next release of elastix as open source under the BSD license.

Ensemble Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Complex Graph Measures from Diffusion Tensor Images

Science.gov (United States)

Ebadi, Ashkan; Dalboni da Rocha, Josué L.; Nagaraju, Dushyanth B.; Tovar-Moll, Fernanda; Bramati, Ivanei; Coutinho, Gabriel; Sitaram, Ranganatha; Rashidi, Parisa

2017-01-01

The human brain is a complex network of interacting regions. The gray matter regions of brain are interconnected by white matter tracts, together forming one integrative complex network. In this article, we report our investigation about the potential of applying brain connectivity patterns as an aid in diagnosing Alzheimer's disease and Mild Cognitive Impairment (MCI). We performed pattern analysis of graph theoretical measures derived from Diffusion Tensor Imaging (DTI) data representing structural brain networks of 45 subjects, consisting of 15 patients of Alzheimer's disease (AD), 15 patients of MCI, and 15 healthy subjects (CT). We considered pair-wise class combinations of subjects, defining three separate classification tasks, i.e., AD-CT, AD-MCI, and CT-MCI, and used an ensemble classification module to perform the classification tasks. Our ensemble framework with feature selection shows a promising performance with classification accuracy of 83.3% for AD vs. MCI, 80% for AD vs. CT, and 70% for MCI vs. CT. Moreover, our findings suggest that AD can be related to graph measures abnormalities at Brodmann areas in the sensorimotor cortex and piriform cortex. In this way, node redundancy coefficient and load centrality in the primary motor cortex were recognized as good indicators of AD in contrast to MCI. In general, load centrality, betweenness centrality, and closeness centrality were found to be the most relevant network measures, as they were the top identified features at different nodes. The present study can be regarded as a “proof of concept” about a procedure for the classification of MRI markers between AD dementia, MCI, and normal old individuals, due to the small and not well-defined groups of AD and MCI patients. Future studies with larger samples of subjects and more sophisticated patient exclusion criteria are necessary toward the development of a more precise technique for clinical diagnosis. PMID:28293162

Relationships (I) of International Classification of High-resolution Computed Tomography for Occupational and Environmental Respiratory Diseases with the ILO International Classification of Radiographs of Pneumoconioses for parenchymal abnormalities.

Science.gov (United States)

Tamura, Taro; Suganuma, Narufumi; Hering, Kurt G; Vehmas, Tapio; Itoh, Harumi; Akira, Masanori; Takashima, Yoshihiro; Hirano, Harukazu; Kusaka, Yukinori

2015-01-01

The International Classification of High-resolution Computed Tomography (HRCT) for Occupational and Environmental Respiratory Diseases (ICOERD) has been developed for the screening, diagnosis, and epidemiological reporting of respiratory diseases caused by occupational hazards. This study aimed to establish a correlation between readings of HRCT (according to the ICOERD) and those of chest radiography (CXR) pneumoconiotic parenchymal opacities (according to the International Labor Organization Classification/International Classification of Radiographs of Pneumoconioses [ILO/ICRP]). Forty-six patients with and 28 controls without mineral dust exposure underwent posterior-anterior CXR and HRCT. We recorded all subjects' exposure and smoking history. Experts independently read CXRs (using ILO/ICRP). Experts independently assessed HRCT using the ICOERD parenchymal abnormalities grades for well-defined rounded opacities (RO), linear and/or irregular opacities (IR), and emphysema (EM). The correlation between the ICOERD summed grades and ILO/ICRP profusions was evaluated using Spearman's rank-order correlation. Twenty-three patients had small opacities on CXR. HRCT showed that 21 patients had RO; 20 patients, IR opacities; and 23 patients, EM. The correlation between ILO/ICRP profusions and the ICOERD grades was 0.844 for rounded opacities (p<0.01). ICOERD readings from HRCT scans correlated well with previously validated ILO/ICRP criteria. The ICOERD adequately detects pneumoconiotic micronodules and can be used for the interpretation of pneumoconiosis.

Classification of iRBD and Parkinson's disease patients based on eye movements during sleep.

Science.gov (United States)

Christensen, Julie A E; Koch, Henriette; Frandsen, Rune; Kempfner, Jacob; Arvastson, Lars; Christensen, Soren R; Sorensen, Helge B D; Jennum, Poul

2013-01-01

Patients suffering from the sleep disorder idiopathic rapid-eye-movement sleep behavior disorder (iRBD) have been observed to be in high risk of developing Parkinson's disease (PD). This makes it essential to analyze them in the search for PD biomarkers. This study aims at classifying patients suffering from iRBD or PD based on features reflecting eye movements (EMs) during sleep. A Latent Dirichlet Allocation (LDA) topic model was developed based on features extracted from two electrooculographic (EOG) signals measured as parts in full night polysomnographic (PSG) recordings from ten control subjects. The trained model was tested on ten other control subjects, ten iRBD patients and ten PD patients, obtaining a EM topic mixture diagram for each subject in the test dataset. Three features were extracted from the topic mixture diagrams, reflecting "certainty", "fragmentation" and "stability" in the timely distribution of the EM topics. Using a Naive Bayes (NB) classifier and the features "certainty" and "stability" yielded the best classification result and the subjects were classified with a sensitivity of 95 %, a specificity of 80% and an accuracy of 90 %. This study demonstrates in a data-driven approach, that iRBD and PD patients may exhibit abnorm form and/or timely distribution of EMs during sleep.

The International Neuroblastoma Risk Group (INRG) staging system: an INRG Task Force report.

Science.gov (United States)

Monclair, Tom; Brodeur, Garrett M; Ambros, Peter F; Brisse, Hervé J; Cecchetto, Giovanni; Holmes, Keith; Kaneko, Michio; London, Wendy B; Matthay, Katherine K; Nuchtern, Jed G; von Schweinitz, Dietrich; Simon, Thorsten; Cohn, Susan L; Pearson, Andrew D J

2009-01-10

The International Neuroblastoma Risk Group (INRG) classification system was developed to establish a consensus approach for pretreatment risk stratification. Because the International Neuroblastoma Staging System (INSS) is a postsurgical staging system, a new clinical staging system was required for the INRG pretreatment risk classification system. To stage patients before any treatment, the INRG Task Force, consisting of neuroblastoma experts from Australia/New Zealand, China, Europe, Japan, and North America, developed a new INRG staging system (INRGSS) based on clinical criteria and image-defined risk factors (IDRFs). To investigate the impact of IDRFs on outcome, survival analyses were performed on 661 European patients with INSS stages 1, 2, or 3 disease for whom IDRFs were known. In the INGRSS, locoregional tumors are staged L1 or L2 based on the absence or presence of one or more of 20 IDRFs, respectively. Metastatic tumors are defined as stage M, except for stage MS, in which metastases are confined to the skin, liver, and/or bone marrow in children younger than 18 months of age. Within the 661-patient cohort, IDRFs were present (ie, stage L2) in 21% of patients with stage 1, 45% of patients with stage 2, and 94% of patients with stage 3 disease. Patients with INRGSS stage L2 disease had significantly lower 5-year event-free survival than those with INRGSS stage L1 disease (78% +/- 4% v 90% +/- 3%; P = .0010). Use of the new staging (INRGSS) and risk classification (INRG) of neuroblastoma will greatly facilitate the comparison of risk-based clinical trials conducted in different regions of the world.

Risk of neurological diseases among survivors of electric shocks

DEFF Research Database (Denmark)

Grell, Kathrine; Meersohn, Andrea; Schüz, Joachim

2012-01-01

Several studies suggest a link between electric injuries and neurological diseases, where electric shocks may explain elevated risks for neuronal degeneration and, subsequently, neurological diseases. We conducted a retrospective cohort study on the risk of neurological diseases among people...... in Denmark who had survived an electric accident in 1968-2008. The cohort included 3,133 people and occurrences of neurological diseases were determined by linkage to the nationwide population-based Danish National Register of Patients. The numbers of cases observed at first hospital contact in the cohort...... were compared with the respective rates of first hospital contacts for neurological diseases in the general population. We observed significantly increased risks for peripheral nerve diseases (standardized hospitalization ratio (SHR), 1.66; 95% confidence interval (CI), 1.22-2.22), for migraine (SHR, 1...

Perceptions of risk: understanding cardiovascular disease

Directory of Open Access Journals (Sweden)

Ruth Webster

2010-09-01

Full Text Available Ruth Webster1, Emma Heeley21Cardiovascular Division, 2Neurological and Mental Health Division, The George Institute for International Health, Camperdown, NSW, AustraliaAbstract: Cardiovascular disease (CVD is still the leading cause of death and disability worldwide despite the availability of well-established and effective preventive options. Accurate perception of a patient’s risk by both the patient and the doctors is important as this is one of the components that determine health-related behavior. Doctors tend to not use cardiovascular (CV risk calculators and underestimate the absolute CV risk of their patients. Patients show optimistic bias when considering their own risk and consistently underestimate it. Poor patient health literacy and numeracy must be considered when thinking about this problem. Patients must possess a reasonably high level of understanding of numerical processes when doctors discuss risk, a level that is not possessed by large numbers of the population. In order to overcome this barrier, doctors need to utilize various tools including the appropriate use of visual aids to accurately communicate risk with their patients. Any intervention has been shown to be better than nothing in improving health understanding. The simple process of repeatedly conveying risk information to a patient has been shown to improve accuracy of risk perception. Doctors need to take responsibility for the accurate assessment and effective communication of CV risk in their patients in order to improve patient uptake of cardioprotective lifestyle choices and preventive medications.Keywords: risk perception, cardiovascular disease, cardioprotective lifestyle

Chronic disease risk factors among hotel workers

Science.gov (United States)

Gawde, Nilesh Chandrakant; Kurlikar, Prashika R.

2016-01-01

Context: Non-communicable diseases have emerged as a global health issue. Role of occupation in pathogenesis of non-communicable diseases has not been explored much especially in the hospitality industry. Aims: Objectives of this study include finding risk factor prevalence among hotel workers and studying relationship between occupational group and chronic disease risk factors chiefly high body mass index. Settings and Design: A cross-sectional study was conducted among non-managerial employees from classified hotels in India. Materials and Methods: The study participants self-administered pre-designed pilot-tested questionnaires. Statistical analysis used: The risk factor prevalence rates were expressed as percentages. Chi-square test was used for bi-variate analysis. Overweight was chosen as ‘outcome’ variable of interest and binary multi-logistic regression analysis was used to identify determinants. Results: The prevalence rates of tobacco use, alcohol use, inadequate physical activity and inadequate intake of fruits and vegetables were 32%, 49%, 24% and 92% respectively among hotel employees. Tobacco use was significantly common among those in food preparation and service, alcohol use among those in food service and security and leisure time physical activity among front office workers. More than two-fifths (42.7%) were overweight. Among the hotel workers, those employed in food preparation and security had higher odds of 1.650 (CI: 1.025 – 2.655) and 3.245 (CI: 1.296 – 8.129) respectively of being overweight. Conclusions: Prevalence of chronic disease risk factors is high among hotel workers. Risk of overweight is significantly high in food preparation and security departments and workplace interventions are necessary to address these risks PMID:27390474

Insignificant disease among men with intermediate-risk prostate cancer.

Science.gov (United States)

Hong, Sung Kyu; Vertosick, Emily; Sjoberg, Daniel D; Scardino, Peter T; Eastham, James A

2014-12-01

A paucity of data exists on the insignificant disease potentially suitable for active surveillance (AS) among men with intermediate-risk prostate cancer (PCa). We tried to identify pathologically insignificant disease and its preoperative predictors in men who underwent radical prostatectomy (RP) for intermediate-risk PCa. We analyzed data of 1,630 men who underwent RP for intermediate-risk disease. Total tumor volume (TTV) data were available in 332 men. We examined factors associated with classically defined pathologically insignificant cancer (organ-confined disease with TTV ≤0.5 ml with no Gleason pattern 4 or 5) and pathologically favorable cancer (organ-confined disease with no Gleason pattern 4 or 5) potentially suitable for AS. Decision curve analysis was used to assess clinical utility of a multivariable model including preoperative variables for predicting pathologically unfavorable cancer. In the entire cohort, 221 of 1,630 (13.6 %) total patients had pathologically favorable cancer. Among 332 patients with TTV data available, 26 (7.8 %) had classically defined pathologically insignificant cancer. Between threshold probabilities of 20 and 40 %, decision curve analysis demonstrated that using multivariable model to identify AS candidates would not provide any benefit over simply treating all men who have intermediate-risk disease with RP. Although a minority of patients with intermediate-risk disease may harbor pathologically favorable or insignificant cancer, currently available conventional tools are not sufficiently able to identify those patients.

Space Radiation Heart Disease Risk Estimates for Lunar and Mars Missions

Science.gov (United States)

Cucinotta, Francis A.; Chappell, Lori; Kim, Myung-Hee

2010-01-01

The NASA Space Radiation Program performs research on the risks of late effects from space radiation for cancer, neurological disorders, cataracts, and heart disease. For mortality risks, an aggregate over all risks should be considered as well as projection of the life loss per radiation induced death. We report on a triple detriment life-table approach to combine cancer and heart disease risks. Epidemiology results show extensive heterogeneity between populations for distinct components of the overall heart disease risks including hypertension, ischaemic heart disease, stroke, and cerebrovascular diseases. We report on an update to our previous heart disease estimates for Heart disease (ICD9 390-429) and Stroke (ICD9 430-438), and other sub-groups using recent meta-analysis results for various exposed radiation cohorts to low LET radiation. Results for multiplicative and additive risk transfer models are considered using baseline rates for US males and female. Uncertainty analysis indicated heart mortality risks as low as zero, assuming a threshold dose for deterministic effects, and projections approaching one-third of the overall cancer risk. Medan life-loss per death estimates were significantly less than that of solid cancer and leukemias. Critical research questions to improve risks estimates for heart disease are distinctions in mechanisms at high doses (>2 Gy) and low to moderate doses (<2 Gy), and data and basic understanding of radiation doserate and quality effects, and individual sensitivity.

Risk prediction and risk reduction in patients with manifest arterial disease

NARCIS (Netherlands)

Goessens, B.M.B.; Goessens, B.M.B.

2006-01-01

Risicovoorspelling en risicoverlaging bij patienten met manifest vaatlijden Engelstalig abstract The number of patients with clinical manifest arterial disease is increasing because of the aging of the population. Patients with manifest arterial disease have an increased risk of a new vascular event

Risk factor management in a contemporary Australian population at increased cardiovascular disease risk.

Science.gov (United States)

Campbell, D J; Coller, J M; Gong, F F; McGrady, M; Prior, D L; Boffa, U; Shiel, L; Liew, D; Wolfe, R; Owen, A J; Krum, H; Reid, C M

2017-11-14

Effective management of cardiovascular and chronic kidney disease risk factors offers longer, healthier lives and savings in health care. We examined risk factor management in participants of the SCReening Evaluation of the Evolution of New Heart Failure (SCREEN-HF) study, a self-selected population at increased cardiovascular disease risk recruited from members of a health insurance fund in Melbourne and Shepparton, Australia. Inclusion criteria were age ≥60 years with one or more of self-reported ischaemic or other heart disease, irregular or rapid heart rhythm, cerebrovascular disease, renal impairment, or treatment for hypertension or diabetes for ≥2 years. Exclusion criteria were known heart failure or cardiac abnormality on echocardiography or other imaging. Medical history, clinical examination, full blood examination and biochemistry (without lipids and HbA1c) were performed for 3847 participants on enrolment, and blood pressure, lipids and HbA1c were measured 1-2 years after enrolment for 3202 participants. Despite 99% of 3294 participants with hypertension receiving antihypertensive medication, half had blood pressures >140/90 mmHg. Approximately 77% of participants were overweight or obese, with one third obese. Additionally, 74% of participants at high cardiovascular disease risk had low density lipoprotein cholesterol levels ≥2 mmol/l, one third of diabetic participants had HbA1c >7%, 22% had estimated glomerular filtration rate management of modifiable risk factors. This article is protected by copyright. All rights reserved.

Classification of Rhinoentomophthoromycosis into Atypical, Early, Intermediate, and Late Disease: A Proposal.

Directory of Open Access Journals (Sweden)

Christian G Blumentrath

Full Text Available Rhinoentomophthoromycosis, or rhino-facial conidiobolomycosis, is a rare, grossly disfiguring disease due to an infection with entomophthoralean fungi. We report a case of rhinoentomophthoromycosis from Gabon and suggest a staging system, which provides information on the prognosis and duration of antifungal therapy.We present a case of rhinoentomophthoromycosis including the histopathology, mycology, and course of disease. For the suggested staging system, all cases on confirmed rhinoentomophthoromycosis published in the literature without language restriction were eligible. Exclusion criteria were missing data on (i duration of disease before correct diagnosis, (ii outcome, and (iii confirmation of entomophthoralean fungus infection by histopathology and/or mycology. We classified cases into atypical (orbital cellulitis, severe pain, fever, dissemination, early, intermediate, and late disease based on the duration of symptoms before diagnosis. The outcome was evaluated for each stage of disease.The literature search of the Medpilot database was conducted on January 13, 2014, (updated on January 18, 2015. The search yielded 8,333 results including 198 cases from 117 papers; of these, 145 met our inclusion criteria and were included in the final analysis. Median duration of treatment was 4, 3, 4, and 5 months in atypical, early, intermediate, and late disease, respectively. Cure rates were clearly associated with stage of disease and were 57%, 100%, 82%, and 43% in atypical, early, intermediate, and late disease, respectively.We suggest a clinical staging system that underlines the benefit of early case detection and may guide the duration of antifungal treatment. The scientific value of this classification is its capacity to structure and harmonize the clinical and research approach towards rhinoentomophthoromycosis.

Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI

International Nuclear Information System (INIS)

Magnin, Benoit; Mesrob, Lilia; Kinkingnehun, Serge; Pelegrini-Issac, Melanie; Colliot, Olivier; Sarazin, Marie; Dubois, Bruno; Lehericy, Stephane; Benali, Habib

2009-01-01

We present and evaluate a new automated method based on support vector machine (SVM) classification of whole-brain anatomical magnetic resonance imaging to discriminate between patients with Alzheimer's disease (AD) and elderly control subjects. We studied 16 patients with AD [mean age ± standard deviation (SD)=74.1 ±5.2 years, mini-mental score examination (MMSE) = 23.1 ± 2.9] and 22 elderly controls (72.3±5.0 years, MMSE=28.5± 1.3). Three-dimensional T1-weighted MR images of each subject were automatically parcellated into regions of interest (ROIs). Based upon the characteristics of gray matter extracted from each ROI, we used an SVM algorithm to classify the subjects and statistical procedures based on bootstrap resampling to ensure the robustness of the results. We obtained 94.5% mean correct classification for AD and control subjects (mean specificity, 96.6%; mean sensitivity, 91.5%). Our method has the potential in distinguishing patients with AD from elderly controls and therefore may help in the early diagnosis of AD. (orig.)

A risk-based classification scheme for genetically modified foods. I: Conceptual development.

Science.gov (United States)

Chao, Eunice; Krewski, Daniel

2008-12-01

The predominant paradigm for the premarket assessment of genetically modified (GM) foods reflects heightened public concern by focusing on foods modified by recombinant deoxyribonucleic acid (rDNA) techniques, while foods modified by other methods of genetic modification are generally not assessed for safety. To determine whether a GM product requires less or more regulatory oversight and testing, we developed and evaluated a risk-based classification scheme (RBCS) for crop-derived GM foods. The results of this research are presented in three papers. This paper describes the conceptual development of the proposed RBCS that focuses on two categories of adverse health effects: (1) toxic and antinutritional effects, and (2) allergenic effects. The factors that may affect the level of potential health risks of GM foods are identified. For each factor identified, criteria for differentiating health risk potential are developed. The extent to which a GM food satisfies applicable criteria for each factor is rated separately. A concern level for each category of health effects is then determined by aggregating the ratings for the factors using predetermined aggregation rules. An overview of the proposed scheme is presented, as well as the application of the scheme to a hypothetical GM food.

A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

NARCIS (Netherlands)

Lim, S.S.; Vos, T.; Flaxman, A.D.; Danaei, G.; Shibuya, K.; Adair-Rohani, H.; Amann, M.; Anderson, H.R.; Andrews, K.G.; Aryee, M.; Atkinson, C.; Bacchus, L.J.; Bahalim, A.N.; Balakrishnan, K.; Balmes, J.; Barker-Collo, S.; Baxter, A.; Bell, M.L.; Blore, J.D.; Blyth, F.; Bonner, C.; Borges, G.; Bourne, R.; Boussinesq, M.; Brauer, M.|info:eu-repo/dai/nl/31149157X; Brooks, P.; Bruce, N.G.; Brunekreef, B.|info:eu-repo/dai/nl/067548180; Bryan-Hancock, C.; Bucello, C.; Buchbinder, R.; Bull, F.; Burnett, R.T.; Byers, T.E.; Calabria, B.; Carapetis, J.; Carnahan, E.; Chafe, Z.; Charlson, F.; Chen, H.; Chen, J.S.; Cheng, A.T.; Child, J.C.; Cohen, A.; Colson, K.E.; Cowie, B.C.; Darby, S.; Darling, S.; Davis, A.; Degenhardt, L.; Dentener, F.; Des Jarlais, D.C.; Devries, K.; Dherani, M.; Ding, E.L.; Dorsey, E.R.; Driscoll, T.; Edmond, K.; Ali, S.E.; Engell, R.E.; Erwin, P.J.; Fahimi, S.; Falder, G.; Farzadfar, F.; Ferrari, A.; Finucane, M.M.; Flaxman, S.; Fowkes, F.G.R.; Freedman, G.; Freeman, M.K.; Gakidou, E.; Ghosh, S.; Giovannucci, E.; Gmel, G.; Graham, K.; Grainger, R.; Grant, B.; Gunnell, D.; Gutierrez, H.R.; Hall, W.; Hoek, H.W.; Hogan, A.; Hosgood, H.D.; Hoy, D.; Hu, H.; Hubbell, B.J.; Hutchings, S.J.; Ibeanusi, S.E.; Jacklyn, G.L.; Jasrasaria, R.; Jonas, J.B.; Kan, H.; Kanis, J.A.; Kassebaum, N.; Kawakami, N.; Khang, Y-H.; Khatibzadeh, S.; Khoo, J-P.; de Kok, C.; Laden, F.; Lalloo, R.; Lan, Q.; Lathlean, T.; Leasher, J.L.; Leigh, J.; Li, Y.; Lin, J.K.; Lipshultz, S.E.; London, S.; Lozano, R.; Lu, Y.; Mak, J.; Malekzadeh, R.; Mallinger, L.; Marcenes, W.; March, L.; Marks, R.; Martin, R.; McGale, P.; McGrath, J.; Mehta, S.; Mensah, G.A.; Merriman, T.R.; Micha, R.; Michaud, C.; Mishra, V.; Hanafiah, K.M.; Mokdad, A.A.; Morawska, L.; Mozaffarian, D.; Murphy, T.; Naghavi, M.; Neal, B.; Nelson, P.K.; Nolla, J.M.; Norman, R.; Olives, C.; Omer, S. B; Orchard, J.; Osborne, R.; Ostro, B.; Page, A.; Pandey, K.D.; Parry, C.D.H.; Passmore, E.; Patra, J.; Pearce, N.; Pelizzari, P.M.; Petzold, M.; Phillips, M.R.; Pope, D.; Pope, C.A.; Powles, J.; Rao, M.; Razavi, H.; Rehfuess, E.A.; Rehm, J.T.; Ritz, B.; Rivara, F.P.; Roberts, T.; Robinson, C.; Rodriguez-Portales, J.A.; Romieu, I.; Room, R.; Rosenfeld, L.C.; Roy, A.; Rushton, L.; Salomon, J.A.; Sampson, U.; Sanchez-Riera, L.; Sanman, E.; Sapkota, A.; Seedat, S.; Shi, P.; Shield, K.; Shivakoti, R.; Singh, G.M.; Sleet, D.A.; Smith, E.; Smith, K.R.; Stapelberg, N.J.C.; Steenland, K.; Stöckl, H.; Stovner, L.J.; Straif, K.; Straney, L.; Thurston, G.D.; Tran, J.H.; van Dingenen, R.; van Donkelaar, A.; Veerman, J.L.; Vijayakumar, L.; Weintraub, R.; Weissman, M.M.; White, R.A.; Whiteford, H.; Wiersma, S.T.; Wilkinson, J.D.; Williams, H.C.; Williams, W.; Wilson, N.; Woolf, A.D.; Yip, P.; Zielinski, J.M.; Lopez, A.D.; Murray, C.J.L.; Ezzati, M.

2012-01-01

BACKGROUND Quantification of the disease burden caused by different risks informs prevention by providing an account of health loss different to that provided by a disease-by-disease analysis. No complete revision of global disease burden caused by risk factors has been done since a comparative risk

Benign breast disease and risk of thyroid cancer.

Science.gov (United States)

Luo, Juhua; Hendryx, Michael; Nassir, Rami; Cheng, Ting-Yuan David; Lane, Dorothy; Margolis, Karen L

2017-09-01

It has been suggested that breast and thyroid diseases may be linked. The aim of this study was to investigate the association between benign breast disease and subsequent risk of thyroid cancer. Postmenopausal women (n = 133,875) aged 50-79 years were followed up for a mean of 14 years. Benign breast disease was defined by history of biopsy. Incident thyroid cancer cases were confirmed by medical record review. Multivariable Cox proportional hazard modeling was used to estimate hazard ratios. There were 370 incident thyroid cancer cases during the follow-up period. Compared to women without BBD, women with BBD had a significant increased risk of thyroid cancer after adjusting for potential confounders (HR 1.38 95% CI 1.10-1.73), especially for women with more than two biopsies (HR 1.59 95% CI 1.10-2.26). There were no significant differences in thyroid tumor size, stage or histologic types between women with and without BBD. Our large prospective study observed that postmenopausal women with BBD had an increased risk for thyroid cancer compared with women without BBD. A more detailed investigation of thyroid cancer risk according to different subtypes of benign breast disease is needed to better understand the association observed between thyroid and benign breast diseases.

Heart diseases and long-term risk of dementia and Alzheimer's disease: a population-based CAIDE study.

Science.gov (United States)

Rusanen, Minna; Kivipelto, Miia; Levälahti, Esko; Laatikainen, Tiina; Tuomilehto, Jaakko; Soininen, Hilkka; Ngandu, Tiia

2014-01-01

Many cardiovascular risk factors are shown to increase the risk of dementia and Alzheimer's disease (AD), but the impact of heart disease on later development of dementia is still unclear. The aim of the study was to investigate the long-term risk of dementia and Alzheimer's disease (AD) related to midlife and late-life atrial fibrillation (AF), heart failure (HF), and coronary artery disease (CAD) in a population-based study with a follow-up of over 25 years. Cardiovascular Risk Factors, Aging and Dementia (CAIDE) study includes 2000 participants who were randomly selected from four separate, population-based samples originally studied in midlife (1972, 1977, 1982, or 1987). Re-examinations were carried out in 1998 and 2005-2008. Altogether 1,510 (75.5%) persons participated in at least one re-examination, and 127 (8.4%) persons were diagnosed with dementia (of which 102 had AD). AF in late-life was an independent risk factor for dementia (HR 2.61, 95% CI 1.05-6.47; p = 0.039) and AD (HR 2.54, 95% CI 1.04-6.16; p = 0.040) in the fully adjusted analyses. The association was even stronger among the apolipoprotein E (APOE) ε4 non-carriers. Late-life HF, but not CAD, tended to increase the risks as well. Heart diseases diagnosed at midlife did not increase the risk of later dementia and AD. Late-life heart diseases increase the subsequent risk of dementia and AD. Prevention and effective treatment of heart diseases may be important also from the perspective of brain health and cognitive functioning.

Disease phenotype at diagnosis in pediatric Crohn's disease

DEFF Research Database (Denmark)

de Bie, Charlotte I; Paerregaard, Anders; Kolacek, Sanja

2013-01-01

It has been speculated that pediatric Crohn's disease (CD) is a distinct disease entity, with probably different disease subtypes. We therefore aimed to accurately phenotype newly diagnosed pediatric CD by using the pediatric modification of the Montreal classification, the Paris classification....

Cardiovascular disease risk among breast cancer survivors: an evolutionary concept analysis

Directory of Open Access Journals (Sweden)

Vo JB

2017-02-01

Full Text Available Jacqueline B Vo,1 Timiya S Nolan,1 David E Vance,1 Patricia A Patrician,2 Karen Meneses1 1Office of Research and Scholarship, 2Department of Family, Community Health, and Systems, University of Alabama at Birmingham School of Nursing, Birmingham, AL, USA Background: More than 3.5 million breast cancer survivors are living in the US, and the overall five-year survival rate is approaching 90%. With increased survival and cancer treatment-related cardiotoxicities, there has been a rise in cardiovascular diseases among breast cancer survivors. Yet, cardiovascular disease risk among breast cancer survivors has not been well conceptualized. The purpose of this article was to analyze and define the concept of cardiovascular disease risk among breast cancer survivors. Methods: The databases CINAHL, EMBASE, and PubMed were used to identify articles that explored cardiovascular disease risk among breast cancer survivors. The search yielded 357 articles, which were reviewed for eligibility. Thirty articles were selected based on the inclusion/exclusion criteria. The concept of cardiovascular disease risk among breast cancer survivors was analyzed using Rodgers’ evolutionary concept analysis method. Results: The analysis suggests that cardiovascular disease risk among breast cancer survivors consists of several attributes: cancer treatment (chemotherapy, targeted therapies, radiation therapy, and endocrine therapy, modifiable risk factors (obesity, physical inactivity, poor diet, and smoking, and nonmodifiable risk factors (age, family history, and race. The antecedent identified includes breast cancer diagnosis and the consequence identified includes the development of cardiovascular disease. Conclusion: Findings suggest the need for increased education and understanding of ­cardiovascular disease risk among health care providers and patients. Survivorship care plans can incorporate cardiovascular disease risk monitoring and screening. Future research

Patients with psoriasis have an increased risk of cardiovascular diseases

DEFF Research Database (Denmark)

Ahlehoff, Ole; Gislason, Gunnar; Lindhardsen, Jesper

2012-01-01

Psoriasis is a chronic immunoinflammatory disease that affects 2-3% of the population and shares pathophysiologic mechanisms and risk factors with cardiovascular diseases. Studies have suggested psoriasis as an independent risk factor for cardiovascular disease and Danish guidelines...... on cardiovascular risk factor modification in patients with psoriasis and psoriatic arthritis have recently been published. We provide a short review of the current evidence and the Danish guidelines....

Development and validation of an endoscopic classification of diverticular disease of the colon: the DICA classification.

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Tursi, Antonio; Brandimarte, Giovanni; Di Mario, Francesco; Andreoli, Arnaldo; Annunziata, Maria Laura; Astegiano, Marco; Bianco, Maria Antonietta; Buri, Luigi; Cammarota, Giovanni; Capezzuto, Erminio; Chilovi, Fausto; Cianci, Massimo; Conigliaro, Rita; Del Favero, Giuseppe; Di Cesare, Luigi; Di Fonzo, Michela; Elisei, Walter; Faggiani, Roberto; Farroni, Ferruccio; Forti, Giacomo; Germanà, Bastianello; Giorgetti, Gian Marco; Giovannone, Maurizio; Lecca, Piera Giuseppina; Loperfido, Silvano; Marmo, Riccardo; Morucci, Piero; Occhigrossi, Giuseppe; Penna, Antonio; Rossi, Alfredo Francesco; Spadaccini, Antonio; Zampaletta, Costantino; Zilli, Maurizio; Zullo, Angelo; Scarpignato, Carmelo; Picchio, Marcello

2015-01-01

A validated endoscopic classification of diverticular disease (DD) of the colon is lacking at present. Our aim was to develop a simple endoscopic score of DD: the Diverticular Inflammation and Complication Assessment (DICA) score. The DICA score for DD resulted in the sum of the scores for the extension of diverticulosis, the number of diverticula per region, the presence and type of inflammation, and the presence and type of complications: DICA 1 (≤ 3), DICA 2 (4-7) and DICA 3 (>7). A comparison with abdominal pain and inflammatory marker expression was also performed. A total of 50 videos of DD patients were reassessed in order to investigate the predictive role of DICA on the outcome of the disease. Overall agreement in using DICA was 0.847 (95% confidence interval, CI, 0.812-0.893): 0.878 (95% CI 0.832-0.895) for DICA 1, 0.765 (95% CI 0.735-0.786) for DICA 2 and 0.891 (95% CI 0.845-0.7923) for DICA 3. Intra-observer agreement (kappa) was 0.91 (95% CI 0.886-0.947). A significant correlation was found between the DICA score and C-reactive protein values (p = 0.0001), as well as between the median pain score and the DICA score (p = 0.0001). With respect to the 50 patients retrospectively reassessed, occurrence/recurrence of disease complications was recorded in 29 patients (58%): 10 (34.5%) were classified as DICA 1 and 19 (65.5%) as DICA 2 (p = 0.036). The DICA score is a simple, reproducible, validated and easy-to-use endoscopic scoring system for DD of the colon. © 2014 S. Karger AG, Basel.

Can a Modified Bosniak Classification System Risk Stratify Pediatric Cystic Renal Masses?

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Saltzman, Amanda F; Carrasco, Alonso; Colvin, Alexandra N; Meyers, Mariana L; Cost, Nicholas G

2018-03-20

We characterize and apply the modified Bosniak classification system to a cohort of children with cystic renal lesions and known surgical pathology. We identified all patients at our institution with cystic renal masses who also underwent surgery for these lesions. Patients without available preoperative imaging or pathology were excluded. All radiological imaging was independently reviewed by a pediatric radiologist blinded to pathological findings. Imaging characteristics (size, border, septations, calcifications, solid components, vascularity) were recorded from the most recent preoperative ultrasounds and computerized tomograms. The modified Bosniak classification system was applied to these scans and then correlated with final pathology. A total of 22 patients met study criteria. Median age at surgery was 6.1 years (range 11 months to 16.8 years). Of the patients 12 (54.5%) underwent open nephrectomy, 6 (27.3%) open partial nephrectomy, 2 (9.1%) laparoscopic cyst decortication, 1 (4.5%) open renal biopsy and 1 (4.5%) laparoscopic partial nephrectomy. Final pathology was benign in 9 cases (41%), intermediate in 6 (27%) and malignant in 7 (32%). All malignant lesions were modified Bosniak class 4, all intermediate lesions were modified class 3 or 4 and 8 of 9 benign lesions (89%) were modified class 1 or 2. Cystic renal lesions in children with a modified Bosniak class of 1 or 2 were most often benign, while class 3 or 4 lesions warranted surgical excision since more than 90% of masses harbored intermediate or malignant pathology. The modified Bosniak classification system appears to allow for a reasonable clinical risk stratification of pediatric cystic renal masses. Copyright © 2018 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Iatrogenic disease in the elderly: risk factors, consequences, and prevention

Directory of Open Access Journals (Sweden)

Sompol Permpongkosol

2011-03-01

Full Text Available Sompol PermpongkosolDivision of Urology, Department of Surgery, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, ThailandAbstract: The epidemiology of iatrogenic disease in the elderly has not been extensively reported. Risk factors of iatrogenic disease in the elderly are drug-induced iatrogenic disease, multiple chronic diseases, multiple physicians, hospitalization, and medical or surgical procedures. Iatrogenic disease can have a great psychomotor impact and important social consequences. To identify patients at high risk is the first step in prevention as most of the iatrogenic diseases are preventable. Interventions that can prevent iatrogenic complications include specific interventions, the use of a geriatric interdisciplinary team, pharmacist consultation and acute care for the elderly units.Keywords: iatrogenic disease, elderly, risk factors, prevention

Major life events and risk of Parkinson's disease

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Rod, Naja Hulvej; Hansen, Johnni; Schernhammer, Eva

2010-01-01

major life events are risk factors for Parkinson's disease. Between 1986 and 2006, we identified 13,695 patients with a (PD) primary diagnosis of PD in the Danish National Hospital Register. Each case was frequency matched by age and gender to five population controls. Information on major life events...... before onset of PD was ascertained from national registries. Among men, number of life events was associated with risk of Parkinson's disease in an inverse dose-response manner (P ....34-0.99). Life events were not associated with PD in women. In contrast, a higher risk of PD was observed among women who had never been married (1.16; 1.04-1.29) and among men (1.47; 1.18-1.82) and women (1.30; 1.05-1.61) who have never been employees. The lower risk of Parkinson's disease among men who had...

Gene features selection for three-class disease classification via multiple orthogonal partial least square discriminant analysis and S-plot using microarray data.

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Yang, Mingxing; Li, Xiumin; Li, Zhibin; Ou, Zhimin; Liu, Ming; Liu, Suhuan; Li, Xuejun; Yang, Shuyu

2013-01-01

DNA microarray analysis is characterized by obtaining a large number of gene variables from a small number of observations. Cluster analysis is widely used to analyze DNA microarray data to make classification and diagnosis of disease. Because there are so many irrelevant and insignificant genes in a dataset, a feature selection approach must be employed in data analysis. The performance of cluster analysis of this high-throughput data depends on whether the feature selection approach chooses the most relevant genes associated with disease classes. Here we proposed a new method using multiple Orthogonal Partial Least Squares-Discriminant Analysis (mOPLS-DA) models and S-plots to select the most relevant genes to conduct three-class disease classification and prediction. We tested our method using Golub's leukemia microarray data. For three classes with subtypes, we proposed hierarchical orthogonal partial least squares-discriminant analysis (OPLS-DA) models and S-plots to select features for two main classes and their subtypes. For three classes in parallel, we employed three OPLS-DA models and S-plots to choose marker genes for each class. The power of feature selection to classify and predict three-class disease was evaluated using cluster analysis. Further, the general performance of our method was tested using four public datasets and compared with those of four other feature selection methods. The results revealed that our method effectively selected the most relevant features for disease classification and prediction, and its performance was better than that of the other methods.

Application of classification algorithms for analysis of road safety risk factor dependencies.

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Kwon, Oh Hoon; Rhee, Wonjong; Yoon, Yoonjin

2015-02-01

Transportation continues to be an integral part of modern life, and the importance of road traffic safety cannot be overstated. Consequently, recent road traffic safety studies have focused on analysis of risk factors that impact fatality and injury level (severity) of traffic accidents. While some of the risk factors, such as drug use and drinking, are widely known to affect severity, an accurate modeling of their influences is still an open research topic. Furthermore, there are innumerable risk factors that are waiting to be discovered or analyzed. A promising approach is to investigate historical traffic accident data that have been collected in the past decades. This study inspects traffic accident reports that have been accumulated by the California Highway Patrol (CHP) since 1973 for which each accident report contains around 100 data fields. Among them, we investigate 25 fields between 2004 and 2010 that are most relevant to car accidents. Using two classification methods, the Naive Bayes classifier and the decision tree classifier, the relative importance of the data fields, i.e., risk factors, is revealed with respect to the resulting severity level. Performances of the classifiers are compared to each other and a binary logistic regression model is used as the basis for the comparisons. Some of the high-ranking risk factors are found to be strongly dependent on each other, and their incremental gains on estimating or modeling severity level are evaluated quantitatively. The analysis shows that only a handful of the risk factors in the data dominate the severity level and that dependency among the top risk factors is an imperative trait to consider for an accurate analysis. Copyright © 2014 Elsevier Ltd. All rights reserved.

Semi-automated landform classification for hazard mapping of soil liquefaction by earthquake

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Nakano, Takayuki

2018-05-01

Soil liquefaction damages were caused by huge earthquake in Japan, and the similar damages are concerned in near future huge earthquake. On the other hand, a preparation of soil liquefaction risk map (soil liquefaction hazard map) is impeded by the difficulty of evaluation of soil liquefaction risk. Generally, relative soil liquefaction risk should be able to be evaluated from landform classification data by using experimental rule based on the relationship between extent of soil liquefaction damage and landform classification items associated with past earthquake. Therefore, I rearranged the relationship between landform classification items and soil liquefaction risk intelligibly in order to enable the evaluation of soil liquefaction risk based on landform classification data appropriately and efficiently. And I developed a new method of generating landform classification data of 50-m grid size from existing landform classification data of 250-m grid size by using digital elevation model (DEM) data and multi-band satellite image data in order to evaluate soil liquefaction risk in detail spatially. It is expected that the products of this study contribute to efficient producing of soil liquefaction hazard map by local government.

MERRF Classification: Implications for Diagnosis and Clinical Trials.

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Finsterer, Josef; Zarrouk-Mahjoub, Sinda; Shoffner, John M

2018-03-01

Given the etiologic heterogeneity of disease classification using clinical phenomenology, we employed contemporary criteria to classify variants associated with myoclonic epilepsy with ragged-red fibers (MERRF) syndrome and to assess the strength of evidence of gene-disease associations. Standardized approaches are used to clarify the definition of MERRF, which is essential for patient diagnosis, patient classification, and clinical trial design. Systematic literature and database search with application of standardized assessment of gene-disease relationships using modified Smith criteria and of variants reported to be associated with MERRF using modified Yarham criteria. Review of available evidence supports a gene-disease association for two MT-tRNAs and for POLG. Using modified Smith criteria, definitive evidence of a MERRF gene-disease association is identified for MT-TK. Strong gene-disease evidence is present for MT-TL1 and POLG. Functional assays that directly associate variants with oxidative phosphorylation impairment were critical to mtDNA variant classification. In silico analysis was of limited utility to the assessment of individual MT-tRNA variants. With the use of contemporary classification criteria, several mtDNA variants previously reported as pathogenic or possibly pathogenic are reclassified as neutral variants. MERRF is primarily an MT-TK disease, with pathogenic variants in this gene accounting for ~90% of MERRF patients. Although MERRF is phenotypically and genotypically heterogeneous, myoclonic epilepsy is the clinical feature that distinguishes MERRF from other categories of mitochondrial disorders. Given its low frequency in mitochondrial disorders, myoclonic epilepsy is not explained simply by an impairment of cellular energetics. Although MERRF phenocopies can occur in other genes, additional data are needed to establish a MERRF disease-gene association. This approach to MERRF emphasizes standardized classification rather than clinical

Maternal periodontal disease and risk of preeclampsia: a meta-analysis.

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Huang, Xi; Wang, Juan; Liu, Jian; Hua, Li; Zhang, Dan; Hu, Ting; Ge, Zi-Li

2014-10-01

Research on the association between maternal periodontal disease and the risk of preeclampsia has generated inconsistent results. This meta-analysis was conducted to evaluate the association between maternal periodontal disease and the risk of preeclampsia. A literature search of PubMed and Embase was performed to identify relevant papers published before March 2013. Only observational studies that assessed maternal periodontal disease and the risk of preeclampsia were selected. Patients' periodontal status was examined at different time points during pregnancy or after delivery (at 14-32 weeks of gestation, within 48 h prior to or within 5 days after delivery). Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated for cases and controls. Cases were defined as women with concurrent hypertension and proteinuria after 20 weeks of gestation. Eleven studies involving 1118 women with preeclampsia and 2798 women without preeclampsia were identified and analyzed. Women with periodontal disease before 32 weeks of gestation had a 3.69-fold higher risk of developing preeclampsia than their counterparts without periodontal disease (OR=3.69; 95% CI=2.58-5.27). Periodontal disease within 48 h prior to delivery was associated with a 2.68-fold higher risk of preeclampsia (OR=2.68; 95% CI=1.39-5.18). Pregnant women with periodontal disease within 5 days after delivery had a 2.22-fold higher risk of preeclampsia than women without periodontal disease (OR=2.22; 95% CI=1.16-4.27). In conclusion, this meta-analysis suggests that maternal periodontal disease is an independent predictor of preeclampsia.

Prognostic value of a novel risk classification of microvascular invasion in patients with hepatocellular carcinoma after resection.

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Zhao, Hui; Chen, Chuang; Fu, Xu; Yan, Xiaopeng; Jia, Wenjun; Mao, Liang; Jin, Huihan; Qiu, Yudong

2017-01-17

The present research aimed to evaluate the prognostic value of a novel risk classification of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) after resection. A total of 295 consecutive HCC patients underwent hepatectomy were included in our study. We evaluated the degree of MVI according to the following three features: the number of invaded microvessels (≤5 vs >5), the number of invading carcinoma cells (≤ 50 vs >50), the distance of invasion from tumor edge (≤1 cm vs >1 cm). All patients were divided into three groups according to the three risk factors of MVI: non-MVI group (n=180), low-MVI group (n=60) and high-MVI group (n=55). The overall survival (OS) and recurrence-free survival (RFS) rates of high-MVI group were significantly poorer than those of low-MVI and non-MVI groups (Prisk factors for OS after hepatectomy. High-MVI, type of resection and tumor size were risk factors for RFS. In subgroup analyses, the OS and RFS rates of low-MVI and non-MVI groups were better than high-MVI group regardless of tumor size. In high-MVI group, anatomical liver resection (n=28) showed better OS and RFS rates compared with non-anatomical liver resection (n=29) (P=0.012 and P=0.002). The novel risk classification of MVI based on histopathological features is valuable for predicting prognosis of HCC patients after hepatectomy.

Chronic wasting disease risk analysis workshop: An integrative approach

Science.gov (United States)

Gillette, Shana; Dein, Joshua; Salman, Mo; Richards, Bryan; Duarte, Paulo

2004-01-01

Risk analysis tools have been successfully used to determine the potential hazard associated with disease introductions and have facilitated management decisions designed to limit the potential for disease introduction. Chronic Wasting Disease (CWD) poses significant challenges for resource managers due to an incomplete understanding of disease etiology and epidemiology and the complexity of management and political jurisdictions. Tools designed specifically to assess the risk of CWD introduction would be of great value to policy makers in areas where CWD has not been detected.

Chronic kidney disease risk reduction in a Hispanic population through pharmacist-based disease-state management.

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Leal, Sandra; Soto, Marisa

2008-04-01

The purpose of this study was to evaluate the ability of a pharmacist-based disease-state management service to improve the care of indigent, predominately Spanish-speaking patients with diabetes mellitus and common comorbid conditions at high risk for the development of chronic kidney disease (CKD). Patients at high risk for developing CKD who have diabetes at a community health center were placed in a pharmacist-based disease state management service for CKD risk reduction. A residency-trained, bilingual, certified diabetes educator, with a PharmD served as the patient's provider using diagnostic, educational, and therapeutic management services under a medical staff approved collaborative practice agreement. Outcomes were assessed by using national standards of care for disease control and prevention screening. The impact on CKD was shown with a mean A1C decrease of 2% and improvement in the proportion of patients at target goals for blood pressure, A1C, and cholesterol levels and receiving aspirin and angiotensin-converting enzyme inhibitor/angiotensin receptor blocker. A pharmacist-based disease-state management service for CKD risk reduction, care of diabetes, and frequently associated comorbid conditions improved compliance with national standards for diabetes care in a high-risk population.

Blood pressure and control of cardiovascular risk

Directory of Open Access Journals (Sweden)

Judith A Whitworth

2005-10-01

Full Text Available Judith A WhitworthJohn Curtin School of Medical Research, Australian National University, Canberra, ACT, AustraliaAbstract: Two key early 20th century notions, the first the primacy of diastolic pressure in determining risk, and the second that hypertension is a discrete disorder, have proved to be incorrect. We now recognize the primacy of systolic pressure as a risk factor for cardiovascular disease and that hypertension is an arbitrary definition. In the early 21st century, we are moving away from a dichotomous approach to risk classification, and away from notions of hypertension and normotension towards an appreciation that blood pressure-related risk is continuous. In parallel, there has been a paradigm shift from a single risk factor approach to comprehensive cardiovascular disease risk prevention. Accordingly, prevention of cardiovascular disease requires a focus on lowering of blood pressure and modification of associated risk factors rather than simply treatment of hypertension. This emphasis is reflected in the World Health Organization (WHO – International Society of Hypertension (ISH 2003 statement on management of hypertension.Keywords: blood pressure, hypertension, cardiovascular risk, treatment

Kernel-based Joint Feature Selection and Max-Margin Classification for Early Diagnosis of Parkinson’s Disease

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Adeli, Ehsan; Wu, Guorong; Saghafi, Behrouz; An, Le; Shi, Feng; Shen, Dinggang

2017-01-01

Feature selection methods usually select the most compact and relevant set of features based on their contribution to a linear regression model. Thus, these features might not be the best for a non-linear classifier. This is especially crucial for the tasks, in which the performance is heavily dependent on the feature selection techniques, like the diagnosis of neurodegenerative diseases. Parkinson’s disease (PD) is one of the most common neurodegenerative disorders, which progresses slowly while affects the quality of life dramatically. In this paper, we use the data acquired from multi-modal neuroimaging data to diagnose PD by investigating the brain regions, known to be affected at the early stages. We propose a joint kernel-based feature selection and classification framework. Unlike conventional feature selection techniques that select features based on their performance in the original input feature space, we select features that best benefit the classification scheme in the kernel space. We further propose kernel functions, specifically designed for our non-negative feature types. We use MRI and SPECT data of 538 subjects from the PPMI database, and obtain a diagnosis accuracy of 97.5%, which outperforms all baseline and state-of-the-art methods.

Kernel-based Joint Feature Selection and Max-Margin Classification for Early Diagnosis of Parkinson’s Disease

Science.gov (United States)

Adeli, Ehsan; Wu, Guorong; Saghafi, Behrouz; An, Le; Shi, Feng; Shen, Dinggang

2017-01-01

Feature selection methods usually select the most compact and relevant set of features based on their contribution to a linear regression model. Thus, these features might not be the best for a non-linear classifier. This is especially crucial for the tasks, in which the performance is heavily dependent on the feature selection techniques, like the diagnosis of neurodegenerative diseases. Parkinson’s disease (PD) is one of the most common neurodegenerative disorders, which progresses slowly while affects the quality of life dramatically. In this paper, we use the data acquired from multi-modal neuroimaging data to diagnose PD by investigating the brain regions, known to be affected at the early stages. We propose a joint kernel-based feature selection and classification framework. Unlike conventional feature selection techniques that select features based on their performance in the original input feature space, we select features that best benefit the classification scheme in the kernel space. We further propose kernel functions, specifically designed for our non-negative feature types. We use MRI and SPECT data of 538 subjects from the PPMI database, and obtain a diagnosis accuracy of 97.5%, which outperforms all baseline and state-of-the-art methods. PMID:28120883

DTI measurements for Alzheimer’s classification

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Maggipinto, Tommaso; Bellotti, Roberto; Amoroso, Nicola; Diacono, Domenico; Donvito, Giacinto; Lella, Eufemia; Monaco, Alfonso; Antonella Scelsi, Marzia; Tangaro, Sabina; Disease Neuroimaging Initiative, Alzheimer's.

2017-03-01

Diffusion tensor imaging (DTI) is a promising imaging technique that provides insight into white matter microstructure integrity and it has greatly helped identifying white matter regions affected by Alzheimer’s disease (AD) in its early stages. DTI can therefore be a valuable source of information when designing machine-learning strategies to discriminate between healthy control (HC) subjects, AD patients and subjects with mild cognitive impairment (MCI). Nonetheless, several studies have reported so far conflicting results, especially because of the adoption of biased feature selection strategies. In this paper we firstly analyzed DTI scans of 150 subjects from the Alzheimer’s disease neuroimaging initiative (ADNI) database. We measured a significant effect of the feature selection bias on the classification performance (p-value  informative content provided by DTI measurements for AD classification. Classification performances and biological insight, concerning brain regions related to the disease, provided by cross-validation analysis were both confirmed on the independent test.

Update on diabetes classification.

Science.gov (United States)

Thomas, Celeste C; Philipson, Louis H

2015-01-01

This article highlights the difficulties in creating a definitive classification of diabetes mellitus in the absence of a complete understanding of the pathogenesis of the major forms. This brief review shows the evolving nature of the classification of diabetes mellitus. No classification scheme is ideal, and all have some overlap and inconsistencies. The only diabetes in which it is possible to accurately diagnose by DNA sequencing, monogenic diabetes, remains undiagnosed in more than 90% of the individuals who have diabetes caused by one of the known gene mutations. The point of classification, or taxonomy, of disease, should be to give insight into both pathogenesis and treatment. It remains a source of frustration that all schemes of diabetes mellitus continue to fall short of this goal. Copyright © 2015 Elsevier Inc. All rights reserved.

Alcohol dependence and risk of somatic diseases and mortality

DEFF Research Database (Denmark)

Holst, Charlotte; Tolstrup, Janne Schurmann; Sørensen, Holger Jelling

2017-01-01

AIMS: To (1) estimate sex-specific risks of a comprehensive spectrum of somatic diseases in alcohol-dependent individuals versus a control population, and in the same population to (2) estimate sex-specific risks of dying from the examined somatic diseases. DESIGN: Register-based matched cohort...

Castleman disease (literature review

Directory of Open Access Journals (Sweden)

A. L. Melikyan

2016-01-01

Full Text Available Castleman disease (angiofollicular hyperplasia of lymph nodes – a rare benign lymphoproliferative disease with prolonged asymptomatic course, associated with a wide variety of autoimmune and oncological diseases and the risk of non-Hodgkin’s lymphoma. The rare occurrence of this disease and a variety of clinical course did not allow for a complete and consistent research on the etiology and pathogenesis and the standard therapies development. In recent years, the number of patients with Castleman disease in the Russian Federation has increased, which requires its recognition among non-neoplastic and neoplastic lymphadenopathy. The article provides an overview about clinical and histological variants of Castleman’s disease, its pathogenesis concepts, classification and treatment.

Preconception risk assessment for thalassaemia, sickle cell disease, cystic fibrosis and Tay-Sachs disease.

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Hussein, Norita; Weng, Stephen F; Kai, Joe; Kleijnen, Jos; Qureshi, Nadeem

2018-03-14

Globally, about five per cent of children are born with congenital or genetic disorders. The most common autosomal recessive conditions are thalassaemia, sickle cell disease, cystic fibrosis and Tay-Sachs disease, with higher carrier rates in specific patient populations. Identifying and counselling couples at genetic risk of the conditions before pregnancy enables them to make fully informed reproductive decisions, with some of these choices not being available if genetic counselling is only offered in an antenatal setting. This is an update of a previously published review. To assess the effectiveness of systematic preconception genetic risk assessment to improve reproductive outcomes in women and their partners who are identified as carriers of thalassaemia, sickle cell disease, cystic fibrosis and Tay-Sachs disease in healthcare settings when compared to usual care. We searched the Cochrane Cystic Fibrosis and Genetic Disorders Group's Trials Registers. In addition, we searched for all relevant trials from 1970 (or the date at which the database was first available if after 1970) to date using electronic databases (MEDLINE, Embase, CINAHL, PsycINFO), clinical trial databases (National Institutes of Health, Clinical Trials Search portal of the World Health Organization, metaRegister of controlled clinical trials), and hand searching of key journals and conference abstract books from 1998 to date (European Journal of Human Genetics, Genetics in Medicine, Journal of Community Genetics). We also searched the reference lists of relevant articles, reviews and guidelines and also contacted subject experts in the field to request any unpublished or other published trials.Date of latest search of the registers: 20 June 2017.Date of latest search of all other sources: 16 November 2017. Any randomised or quasi-randomised controlled trials (published or unpublished) comparing reproductive outcomes of systematic preconception genetic risk assessment for thalassaemia, sickle

Risk profiles of Alzheimer disease.

Science.gov (United States)

Bilbul, Melanie; Schipper, Hyman M

2011-07-01

Alzheimer disease (AD) is a dementing, neurodegenerative disorder that affects approximately 500,000 Canadians and its prevalence is expected to double over the next 30 years. Although several medications may temporarily augment cognitive abilities in AD, there presently exists no proven method to avoid the inevitable clinical deterioration in this devastating condition. The delineation of risk factors for the development of AD offers hope for the advent of effective prevention or interventions that might retard the onset of symptoms. In this article, we provide a comprehensive review of midlife risk factors implicated in the etiopathogenesis of sporadic AD. Although some risk factors are heritable and largely beyond our control, others are determined by lifestyle or environment and are potentially modifiable. In a companion paper, we introduce the concept of an Alzheimer Risk Assessment Clinic for ascertainment and mitigation of these and other putative dementia risk factors in middle-aged adults.

Thyroid Imaging Reporting and Data System Score Combined with the New Italian Classification for Thyroid Cytology Improves the Clinical Management of Indeterminate Nodules

Directory of Open Access Journals (Sweden)

Salvatore Ulisse

2017-01-01

Full Text Available The new Italian cytological classification (2014 of thyroid nodules replaced the TIR3 category of the old classification (2007 with two subclasses, TIR3A and TIR3B, with the aim of reducing the rate of surgery for benign diseases. Moreover, thyroid imaging reporting and data system (TI-RADS score appears to ameliorate the stratification of the malignancy risk. We evaluated whether the new Italian classification has improved diagnostic accuracy and whether its association with TI-RADS score could improve malignancy prediction. We retrospectively analyzed 70 nodules from 70 patients classified as TIR3 according to the old Italian classification who underwent surgery for histological diagnosis. Of these, 51 were available for cytological revision according to the new Italian cytological classification. Risk of malignancy was determined for TIR3A and TIR3B, TI-RADS score, and their combination. A different rate of malignancy (p=0.0286 between TIR3A (13.04% and TIR3B (44.44% was observed. Also TI-RADS score is significantly (p=0.003 associated with malignancy. By combining cytology and TI-RADS score, patients could be divided into three groups with low (8.3%, intermediate (21.4%, and high (80% risk of malignancy. In conclusion, the new Italian cytological classification has an improved diagnostic accuracy. Interestingly, the combination of cytology and TI-RADS score offers a better stratification of the malignancy risk.

Proposed declassification of disease categories related to sexual orientation in the International Statistical Classification of Diseases and Related Health Problems (ICD-11).

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Cochran, Susan D; Drescher, Jack; Kismödi, Eszter; Giami, Alain; García-Moreno, Claudia; Atalla, Elham; Marais, Adele; Vieira, Elisabeth Meloni; Reed, Geoffrey M

2014-09-01

The World Health Organization is developing the 11th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-11), planned for publication in 2017. The Working Group on the Classification of Sexual Disorders and Sexual Health was charged with reviewing and making recommendations on disease categories related to sexuality in the chapter on mental and behavioural disorders in the 10th revision (ICD-10), published in 1990. This chapter includes categories for diagnoses based primarily on sexual orientation even though ICD-10 states that sexual orientation alone is not a disorder. This article reviews the scientific evidence and clinical rationale for continuing to include these categories in the ICD. A review of the evidence published since 1990 found little scientific interest in these categories. In addition, the Working Group found no evidence that they are clinically useful: they neither contribute to health service delivery or treatment selection nor provide essential information for public health surveillance. Moreover, use of these categories may create unnecessary harm by delaying accurate diagnosis and treatment. The Working Group recommends that these categories be deleted entirely from ICD-11. Health concerns related to sexual orientation can be better addressed using other ICD categories.

Multi-informant assessment of siblings of youth with autism spectrum disorder: Parent-child discrepancies in at-risk classification.

Science.gov (United States)

Rankin, James A; Tomeny, Theodore S; Barry, Tammy D

2017-09-01

The behavioral and emotional functioning of typically-developing (TD) siblings of youth with autism spectrum disorder (ASD) has been frequently assessed in the literature; however, these assessments typically include only one informant, rarely considering differences between parent and self-reports of sibling adjustment. This study examined parent-youth reported informant discrepancies in behavioral and emotional functioning, including whether parent and youth reports yielded the same conclusions regarding TD sibling risk status. Among 113 parents and TD siblings of youth with ASD, TD siblings self-reported more overall, conduct, hyperactivity, and peer problems (compared to parent reports). Although few siblings were considered at-risk, those who were identified were not usually identified as at-risk on both informants' reports. Moreover, ASD symptoms, broader autism phenotype symptoms, parent mental health concerns, and social support from parents were all related to differences in at-risk classification between parent- and sibling self-report. This paper highlights the necessity of multi-informant reporting when considering TD sibling psychological functioning. This study helps to address gaps in the literature on assessment of emotional and behavioral functioning of TD siblings of youth with ASD. The results highlight the importance of utilizing both parent- and self-report when identifying TD siblings at-risk for maladjustment. Although few siblings were considered at-risk, those who were identified were not usually identified as such on both informants' reports, and a variety of sibling- and parent-factors were associated with differences in at-risk classification. Thus, inclusion and examination of both parent- and self-report of TD sibling psychological functioning is vital for accurately identifying numbers of TD siblings at-risk of maladjustment. Copyright © 2017 Elsevier Ltd. All rights reserved.

Low-density lipoprotein cholesterol and risk of gallstone disease

DEFF Research Database (Denmark)

Stender, Stefan; Frikke-Schmidt, Ruth; Benn, Marianne

2013-01-01

Drugs which reduce plasma low-density lipoprotein cholesterol (LDL-C) may protect against gallstone disease. Whether plasma levels of LDL-C per se predict risk of gallstone disease remains unclear. We tested the hypothesis that elevated LDL-C is a causal risk factor for symptomatic gallstone...

Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer’s Disease in AIBL Data: Group and Individual Analyses

Directory of Open Access Journals (Sweden)

Vahab Youssofzadeh

2017-07-01

Full Text Available Magnetic resonance imaging (MRI and positron emission tomography (PET are neuroimaging modalities typically used for evaluating brain changes in Alzheimer’s disease (AD. Due to their complementary nature, their combination can provide more accurate AD diagnosis or prognosis. In this work, we apply a multi-modal imaging machine-learning framework to enhance AD classification and prediction of diagnosis of subject-matched gray matter MRI and Pittsburgh compound B (PiB-PET data related to 58 AD, 108 mild cognitive impairment (MCI and 120 healthy elderly (HE subjects from the Australian imaging, biomarkers and lifestyle (AIBL dataset. Specifically, we combined a Dartel algorithm to enhance anatomical registration with multi-kernel learning (MKL technique, yielding an average of >95% accuracy for three binary classification problems: AD-vs.-HE, MCI-vs.-HE and AD-vs.-MCI, a considerable improvement from individual modality approach. Consistent with t-contrasts, the MKL weight maps revealed known brain regions associated with AD, i.e., (parahippocampus, posterior cingulate cortex and bilateral temporal gyrus. Importantly, MKL regression analysis provided excellent predictions of diagnosis of individuals by r2 = 0.86. In addition, we found significant correlations between the MKL classification and delayed memory recall scores with r2 = 0.62 (p < 0.01. Interestingly, outliers in the regression model for diagnosis were mainly converter samples with a higher likelihood of converting to the inclined diagnostic category. Overall, our work demonstrates the successful application of MKL with Dartel on combined neuromarkers from different neuroimaging modalities in the AIBL data. This lends further support in favor of machine learning approach in improving the diagnosis and risk prediction of AD.

Nomenclature for congenital and paediatric cardiac disease: the International Paediatric and Congenital Cardiac Code (IPCCC) and the Eleventh Iteration of the International Classification of Diseases (ICD-11).

Science.gov (United States)

Franklin, Rodney C G; Béland, Marie J; Colan, Steven D; Walters, Henry L; Aiello, Vera D; Anderson, Robert H; Bailliard, Frédérique; Boris, Jeffrey R; Cohen, Meryl S; Gaynor, J William; Guleserian, Kristine J; Houyel, Lucile; Jacobs, Marshall L; Juraszek, Amy L; Krogmann, Otto N; Kurosawa, Hiromi; Lopez, Leo; Maruszewski, Bohdan J; St Louis, James D; Seslar, Stephen P; Srivastava, Shubhika; Stellin, Giovanni; Tchervenkov, Christo I; Weinberg, Paul M; Jacobs, Jeffrey P

2017-12-01

An internationally approved and globally used classification scheme for the diagnosis of CHD has long been sought. The International Paediatric and Congenital Cardiac Code (IPCCC), which was produced and has been maintained by the International Society for Nomenclature of Paediatric and Congenital Heart Disease (the International Nomenclature Society), is used widely, but has spawned many "short list" versions that differ in content depending on the user. Thus, efforts to have a uniform identification of patients with CHD using a single up-to-date and coordinated nomenclature system continue to be thwarted, even if a common nomenclature has been used as a basis for composing various "short lists". In an attempt to solve this problem, the International Nomenclature Society has linked its efforts with those of the World Health Organization to obtain a globally accepted nomenclature tree for CHD within the 11th iteration of the International Classification of Diseases (ICD-11). The International Nomenclature Society has submitted a hierarchical nomenclature tree for CHD to the World Health Organization that is expected to serve increasingly as the "short list" for all communities interested in coding for congenital cardiology. This article reviews the history of the International Classification of Diseases and of the IPCCC, and outlines the process used in developing the ICD-11 congenital cardiac disease diagnostic list and the definitions for each term on the list. An overview of the content of the congenital heart anomaly section of the Foundation Component of ICD-11, published herein in its entirety, is also included. Future plans for the International Nomenclature Society include linking again with the World Health Organization to tackle procedural nomenclature as it relates to cardiac malformations. By doing so, the Society will continue its role in standardising nomenclature for CHD across the globe, thereby promoting research and better outcomes for fetuses

Influenza and risk of later celiac disease

DEFF Research Database (Denmark)

Kårhus, Line Lund; Gunnes, Nina; Størdal, Ketil

2018-01-01

OBJECTIVES: Influenza has been linked to autoimmune conditions, but its relationship to subsequent celiac disease (CD) is unknown. Our primary aim was to determine the risk of CD after influenza. A secondary analysis examined the risk of CD following pandemic influenza vaccination. METHODS...

Chronic obstructive pulmonary disease and cancer risk

DEFF Research Database (Denmark)

Kornum, Jette Brommann; Sværke, Claus; Thomsen, Reimar Wernich

2012-01-01

Little is known about the risk of cancer in patients with chronic obstructive pulmonary disease (COPD), including which cancer sites are most affected. We examined the short- and long-term risk of lung and extrapulmonary cancer in a nationwide cohort of COPD patients....

Risk factors of cerebrovascular diseases and their intervention and management

Directory of Open Access Journals (Sweden)

En XU

2015-01-01

Full Text Available Cerebrovascular diseases are important causes of clinical death and disability because of high prevalence and morbidity and easy to recurrence. A number of risk factors have involved in the progress of cerebrovascular diseases, which include uncontrolled and controlled risk factors. The former refers to old age, gender, low birth weight, race/ethnicity, genetic factors, etc. The latter includes hypertension, diabetes mellitus, atrial fibrillation and other cardiac diseases, dyslipidemia, asymptomatic carotid stenosis, obesity, smoking, unhealthy lifestyle, alcoholism, metabolic syndrome, hyperhomocysteinemia, etc. Meanwhile, hypertension is the most important one in the above-mentioned risk factors. It would effectively reduce or postpone the onset of cerebrovascular diseases through proper intervention and management on those risk factors. DOI: 10.3969/j.issn.1672-6731.2015.01.006

Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data

NARCIS (Netherlands)

Cho, Youngsang; Seong, Joon-Kyung; Jeong, Yong; Shin, Sung Yong; Saradha, A.; Abdi, Hervé; Abdulkadir, Ahmed; Acharya, Deepa; Achuthan, Anusha; Adluru, Nagesh; Aghajanian, Jania; Agrusti, Antonella; Agyemang, Alex; Ahdidan, Jamila; Ahmad, Duaa; Ahmed, Shiek; Aisen, Paul; Akhondi-Asl, Alireza; Aksu, Yaman; Alberca, Roman; Alcauter, Sarael; Alexander, Daniel; Alin, Aylin; Almeida, Fabio; Alvarez-Linera, Juan; Amlien, Inge; Anand, Shyam; Anderson, Dallas; Ang, Amma; Angersbach, Steve; Ansarian, Reza; Aoyama, Eiji; Appannah, Arti; Arfanakis, Konstantinos; Armor, Tom; Arrighi, Michael; Arumughababu, S. Vethanayaki; Arunagiri, Vidhya; Ashe-McNalley, Cody; Ashford, Wes; Le Page, Aurelie; Avants, Brian; Aviv, Richard; Awasthi, Sukrati; Ayache, Nicholas; Ayan-Oshodi, Mosun; Ayhan, Murat; Chen, Wei; Richard, Edo; Schmand, Ben

2012-01-01

Patterns of brain atrophy measured by magnetic resonance structural imaging have been utilized as significant biomarkers for diagnosis of Alzheimer's disease (AD). However, brain atrophy is variable across patients and is non-specific for AD in general. Thus, automatic methods for AD classification

Waterborne disease-related risk perceptions in the Sonora River basin, Mexico.

Science.gov (United States)

Morua, Agustin Robles; Halvorsen, Kathleen E; Mayer, Alex S

2011-05-01

Waterborne disease is estimated to cause about 10% of all diseases worldwide. However, related risk perceptions are not well understood, particularly in the developing world where waterborne disease is an enormous problem. We focus on understanding risk perceptions related to these issues in a region within northern Mexico. Our findings show how waterborne disease problems and solutions are understood in eight small communities along a highly contaminated river system. We found major differences in risk perceptions between health professionals, government officials, and lay citizens. Health professionals believed that a high level of human-waste-related risk existed within the region. Few officials and lay citizens shared this belief. In addition, few officials and lay citizens were aware of poor wastewater-management-related disease outbreaks and water contamination. Finally, aside from health professionals, a few interviewees understood the importance of basic hygiene and water treatment measures that could help to prevent disease. Our results add to the literature on environmentally-related risk perceptions in the developing world. We discuss recommendations for improving future human-wastewater-related risk communication within the region. © 2011 Society for Risk Analysis.

Breast Cancer Survival Defined by the ER/PR/HER2 Subtypes and a Surrogate Classification according to Tumor Grade and Immunohistochemical Bio markers

International Nuclear Information System (INIS)

Parise, C. A.; Caggiano, V.

2014-01-01

ER, PR, and HER2 are routinely available in breast cancer specimens. The purpose of this study is to contrast breast cancer-specific survival for the eight ER/PR/HER2 subtypes with survival of an immunohistochemical surrogate for the molecular subtype based on the ER/PR/HER2 subtypes and tumor grade. Methods. We identified 123,780 cases of stages 1-3 primary female invasive breast cancer from California Cancer Registry. The surrogate classification was derived using ER/PR/HER2 and tumor grade. Kaplan-Meier survival analysis and Cox proportional hazards modeling were used to assess differences in survival and risk of mortality for the ER/PR/HER2 subtypes and surrogate classification within each stage. Results. The luminal B/HER2− surrogate classification had a higher risk of mortality than the luminal B/HER2+ for all stages of disease. There was no difference in risk of mortality between the ER+/PR+/HER2− and ER+/PR+/HER2+ in stage 3. With one exception in stage 3, the ER-negative subtypes all had an increased risk of mortality when compared with the ER-positive subtypes. Conclusions. Assessment of survival using ER/PR/HER2 illustrates the heterogeneity of HER2+ subtypes. The surrogate classification provides clear separation in survival and adjusted mortality but underestimates the wide variability within the subtypes that make up the classification.

Sacrococcygeal pilonidal disease: analysis of previously proposed risk factors

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Ali Harlak

2010-01-01

Full Text Available PURPOSE: Sacrococcygeal pilonidal disease is a source of one of the most common surgical problems among young adults. While male gender, obesity, occupations requiring sitting, deep natal clefts, excessive body hair, poor body hygiene and excessive sweating are described as the main risk factors for this disease, most of these need to be verified with a clinical trial. The present study aimed to evaluate the value and effect of these factors on pilonidal disease. METHOD: Previously proposed main risk factors were evaluated in a prospective case control study that included 587 patients with pilonidal disease and 2,780 healthy control patients. RESULTS: Stiffness of body hair, number of baths and time spent seated per day were the three most predictive risk factors. Adjusted odds ratios were 9.23, 6.33 and 4.03, respectively (p<0.001. With an adjusted odds ratio of 1.3 (p<.001, body mass index was another risk factor. Family history was not statistically different between the groups and there was no specific occupation associated with the disease. CONCLUSIONS: Hairy people who sit down for more than six hours a day and those who take a bath two or less times per week are at a 219-fold increased risk for sacrococcygeal pilonidal disease than those without these risk factors. For people with a great deal of hair, there is a greater need for them to clean their intergluteal sulcus. People who engage in work that requires sitting in a seat for long periods of time should choose more comfortable seats and should also try to stand whenever possible.

Are preoperative histology and MRI useful for classification of endometrial cancer risk?

International Nuclear Information System (INIS)

Body, Noemie; Lavoué, Vincent; De Kerdaniel, Olivier; Foucher, Fabrice; Henno, Sébastien; Cauchois, Aurélie; Laviolle, Bruno; Leblanc, Marc; Levêque, Jean

2016-01-01

The 2010 guidelines of the French National Cancer Institute (INCa) classify patients with endometrial cancer into three risk groups for lymph node invasion and recurrence on the basis of MRI and histological analysis of an endometrial specimen obtained preoperatively. The classification guides therapeutic choices, which may include pelvic and/or para-aortic lymphadenectomy. The purpose of this study was to evaluate the diagnostic performance of preoperative assessment to help identify intermediate- or high-risk patients requiring lymphadenectomy. The study included all patients who underwent surgery for endometrial cancer between January 2010 and December 2013 at either Rennes University Hospital or Vannes Regional Hospital. The criteria for eligibility included a preoperative assessment with MRI and histological examination of an endometrial sample. A histological comparison was made between the preoperative and surgical specimens. Among the 91 patients who underwent a full preoperative assessment, the diagnosis of intermediate- or high-risk endometrial cancer was established by MRI and histology with a sensitivity of 70 %, specificity of 82 %, positive predictive value (PPV) of 87 %, negative predictive value (NPV) of 61 %, positive likelihood ratio (LR+) of 3.8 and negative likelihood ratio (LR-) of 0.3. The risk group was underestimated in 32 % of patients and overestimated in 7 % of patients. MRI underestimated endometrial cancer stage in 20 % of cases, while endometrial sampling underestimated the histological type in 4 % of cases and the grade in 9 % of cases. The preoperative assessment overestimated or underestimated the risk of recurrence in nearly 40 % of cases, with errors in lesion type, grade or stage. Erroneous preoperative risk assessment leads to suboptimal initial surgical management of patients with endometrial cancer

Social and ethical implications of psychiatric classification for low ...

African Journals Online (AJOL)

Classification of Diseases, currently 10th edition, it is timely to consider the wider societal implications of evolving psychiatric classification, especially within low- and middle-income countries (LMICs). The author reviewed developments in psychiatric classification, especially the move from categorical to dimensional ...

A genetic risk score combining ten psoriasis risk loci improves disease prediction.

Directory of Open Access Journals (Sweden)

Haoyan Chen

2011-04-01

Full Text Available Psoriasis is a chronic, immune-mediated skin disease affecting 2-3% of Caucasians. Recent genetic association studies have identified multiple psoriasis risk loci; however, most of these loci contribute only modestly to disease risk. In this study, we investigated whether a genetic risk score (GRS combining multiple loci could improve psoriasis prediction. Two approaches were used: a simple risk alleles count (cGRS and a weighted (wGRS approach. Ten psoriasis risk SNPs were genotyped in 2815 case-control samples and 858 family samples. We found that the total number of risk alleles in the cases was significantly higher than in controls, mean 13.16 (SD 1.7 versus 12.09 (SD 1.8, p = 4.577×10(-40. The wGRS captured considerably more risk than any SNP considered alone, with a psoriasis OR for high-low wGRS quartiles of 10.55 (95% CI 7.63-14.57, p = 2.010×10(-65. To compare the discriminatory ability of the GRS models, receiver operating characteristic curves were used to calculate the area under the curve (AUC. The AUC for wGRS was significantly greater than for cGRS (72.0% versus 66.5%, p = 2.13×10(-8. Additionally, the AUC for HLA-C alone (rs10484554 was equivalent to the AUC for all nine other risk loci combined (66.2% versus 63.8%, p = 0.18, highlighting the dominance of HLA-C as a risk locus. Logistic regression revealed that the wGRS was significantly associated with two subphenotypes of psoriasis, age of onset (p = 4.91×10(-6 and family history (p = 0.020. Using a liability threshold model, we estimated that the 10 risk loci account for only 11.6% of the genetic variance in psoriasis. In summary, we found that a GRS combining 10 psoriasis risk loci captured significantly more risk than any individual SNP and was associated with early onset of disease and a positive family history. Notably, only a small fraction of psoriasis heritability is captured by the common risk variants identified to date.

Fuzzy classification for strawberry diseases-infection using machine vision and soft-computing techniques

Science.gov (United States)

Altıparmak, Hamit; Al Shahadat, Mohamad; Kiani, Ehsan; Dimililer, Kamil

2018-04-01

Robotic agriculture requires smart and doable techniques to substitute the human intelligence with machine intelligence. Strawberry is one of the important Mediterranean product and its productivity enhancement requires modern and machine-based methods. Whereas a human identifies the disease infected leaves by his eye, the machine should also be capable of vision-based disease identification. The objective of this paper is to practically verify the applicability of a new computer-vision method for discrimination between the healthy and disease infected strawberry leaves which does not require neural network or time consuming trainings. The proposed method was tested under outdoor lighting condition using a regular DLSR camera without any particular lens. Since the type and infection degree of disease is approximated a human brain a fuzzy decision maker classifies the leaves over the images captured on-site having the same properties of human vision. Optimizing the fuzzy parameters for a typical strawberry production area at a summer mid-day in Cyprus produced 96% accuracy for segmented iron deficiency and 93% accuracy for segmented using a typical human instant classification approximation as the benchmark holding higher accuracy than a human eye identifier. The fuzzy-base classifier provides approximate result for decision making on the leaf status as if it is healthy or not.

Alcoholic Cirrhosis Increases Risk for Autoimmune Diseases

DEFF Research Database (Denmark)

Grønbæk, Lisbet; Vilstrup, Hendrik; Deleuran, Bent

2015-01-01

IRR, 1.56; 95% CI, 1.26-1.92), celiac disease (aIRR, 5.12; 95% CI, 2.58-10.16), pernicious anemia (aIRR, 2.35; 95% CI, 1.50-3.68), and psoriasis (aIRR, 4.06; 95% CI, 3.32-4.97). There was no increase in the incidence rate for rheumatoid arthritis (aIRR, 0.89; 95% CI, 0.69-1.15); the incidence rate......BACKGROUND & AIMS: Alcoholic cirrhosis is associated with hyperactivation and dysregulation of the immune system. In addition to its ability to increase risk for infections, it also may increase the risk for autoimmune diseases. We studied the incidence of autoimmune diseases among patients...... (controls) of the same sex and age. The incidence rates of various autoimmune diseases were compared between patients with cirrhosis and controls and adjusted for the number of hospitalizations in the previous year (a marker for the frequency of clinical examination). RESULTS: Of the 24,679 patients...

A classification of risk factors in serious juvenile offenders and the relation between patterns of risk factors and recidivism.

Science.gov (United States)

Mulder, Eva; Brand, Eddy; Bullens, Ruud; Van Marle, Hjalmar

2010-02-01

There has been a lot of research on risk factors for recidivism among juvenile offenders, in general, and on individual risk factors, but less focus on subgroups of serious juvenile offenders and prediction of recidivism within these. To find an optimal classification of risk items and to test the predictive value of the resultant factors with respect to severity of recidivism among serious juvenile offenders. Seventy static and dynamic risk factors in 1154 juvenile offenders were registered with the Juvenile Forensic Profile. Recidivism data were collected on 728 of these offenders with a time at risk of at least 2 years. After factor analysis, independent sample t-tests were used to indicate differences between recidivists and non-recidivists. Logistic multiple linear regression analyses were used to test the potential predictive value of the factors for violent or serious recidivism. A nine-factor solution best accounted for the data. The factors were: antisocial behaviour during treatment, sexual problems, family problems, axis-1 psychopathology, offence characteristics, conscience and empathy, intellectual and social capacities, social network, and substance abuse. Regression analysis showed that the factors antisocial behaviour during treatment, family problems and axis-1 psychopathology were associated with seriousness of recidivism. The significance of family problems and antisocial behaviour during treatments suggest that specific attention to these factors may be important in reducing recidivism. The fact that antisocial behaviour during treatment consists mainly of dynamic risk factors is hopeful as these can be influenced by treatment. Consideration of young offenders by subgroup rather than as a homogenous population is likely to yield the best information about risk of serious re-offending and the management of that risk.

Body mass index and risk of autoimmune diseases

DEFF Research Database (Denmark)

Harpsøe, Maria C; Basit, Saima; Andersson, Mikael

2014-01-01

.57) and type 1 diabetes mellitus (HR 2.67; 95% CI, 1.71 to 4.17). Risk of dermatitis herpetiformis increased by 14% (95% CI, 1% to 30%) per BMI unit. Conversely, risk of celiac disease and Raynaud's phenomenon decreased by 7% (95% CI, 1% to 13%) and 12% (95% CI, 4% to 19%) per BMI unit, respectively. Further......BACKGROUND: A possible aetiological link between obesity and certain autoimmune diseases (ADs) has been suggested. We investigated the associations between body mass index (BMI, kg/m2) and 43 ADs. METHODS: 75,008 women participating in the Danish National Birth Cohort were followed during a median......-up, 2430 women (3.2%) developed a total of 2607 new-onset ADs. Risk of any autoimmune disease was increased in obese women (HR, 1.27; 95% CI, 1.11 to 1.46) compared with normal weight women (18.5-≤25 kg/m2). Obese women (BMI≥30 kg/m2) were at increased risk of sarcoidosis (HR 3.59; 95% CI, 2.31 to 5...

[Definition and classification of pulmonary arterial hypertension].

Science.gov (United States)

Nakanishi, Norifumi

2008-11-01

Pulmonary hypertension(PH) is a disorder that may occur either in the setting of a variety of underlying medical conditions or as a disease that uniquely affects the pulmonary vasculature. Because an accurate diagnosis of PH in a patient is essential to establish an effective treatment, a classification of PH has been helpful. The first classification, established at WHO Symposium in 1973, classified PH into groups based on the known cause and defined primary pulmonary hypertension (PPH) as a separate entity of unknown cause. In 1998, the second World Symposium on PPH was held in Evian. Evian classification introduced the concept of conditions that directly affected the pulmonary vasculature (i.e., PAH), which included PPH. In 2003, the third World Symposium on PAH convened in Venice. In Venice classification, the term 'PPH' was abandoned in favor of 'idiopathic' within the group of disease known as 'PAH'.

Risk of bleeding related to antithrombotic treatment in cardiovascular disease

DEFF Research Database (Denmark)

Sørensen, Rikke; Olesen, Jonas B; Charlot, Mette

2012-01-01

Antithrombotic therapy is a cornerstone of treatment in patients with cardiovascular disease with bleeding being the most feared complication. This review describes the risk of bleeding related to different combinations of antithrombotic drugs used for cardiovascular disease: acute coronary...... syndrome (ACS), atrial fibrillation (AF), cerebrovascular (CVD) and peripheral arterial disease (PAD). Different risk assessment schemes and bleeding definitions are compared. The HAS-BLED risk score is recommended in patients with AF and in ACS patients with AF. In patients with ACS with or without...

Management of Cardiovascular Risk in Patients with Chronic Inflammatory Diseases

DEFF Research Database (Denmark)

Lindhardsen, Jesper; Kristensen, Søren Lund; Ahlehoff, Ole

2016-01-01

An increased risk of cardiovascular disease (CVD) has been observed in a range of chronic inflammatory diseases (CID), including rheumatoid arthritis (RA), psoriasis, inflammatory bowel diseases (IBD), and systemic lupus erythematosus (SLE). The increased risk of CVDs and reduced life expectancy...... considerable interest in recent years. We briefly summarize the current level of evidence of the association between CIDs and CVD and cardiovascular risk management recommendations. Perspectives of ongoing and planned trials are discussed in consideration of potential ways to improve primary and secondary CVD...

The high-density lipoprotein-adjusted SCORE model worsens SCORE-based risk classification in a contemporary population of 30 824 Europeans

DEFF Research Database (Denmark)

Mortensen, Martin B; Afzal, Shoaib; Nordestgaard, Børge G

2015-01-01

.8 years of follow-up, 339 individuals died of CVD. In the SCORE target population (age 40-65; n = 30,824), fewer individuals were at baseline categorized as high risk (≥5% 10-year risk of fatal CVD) using SCORE-HDL compared with SCORE (10 vs. 17% in men, 1 vs. 3% in women). SCORE-HDL did not improve...... with SCORE, but deteriorated risk classification based on NRI. Future guidelines should consider lower decision thresholds and prioritize CVD morbidity and people above age 65....

Definition and Validation of “Favorable High-Risk Prostate Cancer”: Implications for Personalizing Treatment of Radiation-Managed Patients

International Nuclear Information System (INIS)

Muralidhar, Vinayak; Chen, Ming-Hui; Reznor, Gally; Moran, Brian J.; Braccioforte, Michelle H.; Beard, Clair J.; Feng, Felix Y.; Hoffman, Karen E.; Choueiri, Toni K.; Martin, Neil E.; Sweeney, Christopher J.; Trinh, Quoc-Dien; Nguyen, Paul L.

2015-01-01

Purpose: To define and validate a classification of favorable high-risk prostate cancer that could be used to personalize therapy, given that consensus guidelines recommend similar treatments for all radiation-managed patients with high-risk disease. Methods and Materials: We studied 3618 patients with cT1-T3aN0M0 high-risk or unfavorable intermediate-risk prostate adenocarcinoma treated with radiation at a single institution between 1997 and 2013. Favorable high-risk was defined as T1c disease with either Gleason 4 + 4 = 8 and prostate-specific antigen 20 ng/mL. Competing risks regression was used to determine differences in the risk of prostate cancer–specific mortality (PCSM) after controlling for baseline factors and treatment. Our results were validated in a cohort of 13,275 patients using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database. Results: Patients with favorable high-risk disease had significantly better PCSM than other men with high-risk disease (adjusted hazard ratio [AHR] 0.42, 95% confidence interval [CI] 0.18-0.996, P=.049) and similar PCSM as men with unfavorable intermediate-risk disease (AHR 1.17, 95% CI 0.50-2.75, P=.710). We observed very similar results within the SEER-Medicare cohort (favorable high-risk vs other high-risk: AHR 0.21, 95% CI 0.11-0.41, P<.001; favorable high-risk vs unfavorable intermediate-risk: AHR 0.67, 95% CI 0.33-1.36, P=.268). Conclusions: Patients with favorable high-risk prostate cancer have significantly better PCSM than other patients with high-risk disease and similar PCSM as those with unfavorable intermediate-risk disease, who are typically treated with shorter-course androgen deprivation therapy. This new classification system may allow for personalization of treatment within high-risk disease, such as consideration of shorter-course androgen deprivation therapy for favorable high-risk disease.

Definition and Validation of “Favorable High-Risk Prostate Cancer”: Implications for Personalizing Treatment of Radiation-Managed Patients

Energy Technology Data Exchange (ETDEWEB)

Muralidhar, Vinayak [Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, Massachusetts (United States); Chen, Ming-Hui [Department of Statistics, University of Connecticut, Storrs, Connecticut (United States); Reznor, Gally [Center for Surgery and Public Health, Brigham and Women' s Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts (United States); Moran, Brian J.; Braccioforte, Michelle H. [Prostate Cancer Foundation of Chicago, Westmont, Illinois (United States); Beard, Clair J. [Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women' s Hospital, Boston, Massachusetts (United States); Feng, Felix Y. [Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (United States); Hoffman, Karen E. [Department of Radiation Oncology, M. D. Anderson Cancer Center, Houston, Texas (United States); Choueiri, Toni K. [Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women' s Hospital, Harvard Medical School, Boston, Massachusetts (United States); Martin, Neil E. [Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women' s Hospital, Boston, Massachusetts (United States); Sweeney, Christopher J. [Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women' s Hospital, Harvard Medical School, Boston, Massachusetts (United States); Trinh, Quoc-Dien [Department of Urology, Brigham and Women' s Hospital, Boston, Massachusetts (United States); Nguyen, Paul L., E-mail: pnguyen@LROC.harvard.edu [Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women' s Hospital, Boston, Massachusetts (United States)

2015-11-15

Purpose: To define and validate a classification of favorable high-risk prostate cancer that could be used to personalize therapy, given that consensus guidelines recommend similar treatments for all radiation-managed patients with high-risk disease. Methods and Materials: We studied 3618 patients with cT1-T3aN0M0 high-risk or unfavorable intermediate-risk prostate adenocarcinoma treated with radiation at a single institution between 1997 and 2013. Favorable high-risk was defined as T1c disease with either Gleason 4 + 4 = 8 and prostate-specific antigen <10 ng/mL or Gleason 6 and prostate-specific antigen >20 ng/mL. Competing risks regression was used to determine differences in the risk of prostate cancer–specific mortality (PCSM) after controlling for baseline factors and treatment. Our results were validated in a cohort of 13,275 patients using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database. Results: Patients with favorable high-risk disease had significantly better PCSM than other men with high-risk disease (adjusted hazard ratio [AHR] 0.42, 95% confidence interval [CI] 0.18-0.996, P=.049) and similar PCSM as men with unfavorable intermediate-risk disease (AHR 1.17, 95% CI 0.50-2.75, P=.710). We observed very similar results within the SEER-Medicare cohort (favorable high-risk vs other high-risk: AHR 0.21, 95% CI 0.11-0.41, P<.001; favorable high-risk vs unfavorable intermediate-risk: AHR 0.67, 95% CI 0.33-1.36, P=.268). Conclusions: Patients with favorable high-risk prostate cancer have significantly better PCSM than other patients with high-risk disease and similar PCSM as those with unfavorable intermediate-risk disease, who are typically treated with shorter-course androgen deprivation therapy. This new classification system may allow for personalization of treatment within high-risk disease, such as consideration of shorter-course androgen deprivation therapy for favorable high-risk disease.

Crohn's disease and risk of fracture: does thyroid disease play a role?

Institute of Scientific and Technical Information of China (English)

Nakechand Pooran; Pankaj Singh; Simmy Bank

2003-01-01

AIM: To assess the role of thyroid disease as a risk for fractures in Crohn's patients.METHODS: A cross-sectional study was conducted from 1998 to 2000. The study group consisted of 210 patients with Crohn's disease. A group of 206 patients without inflammatory bowel disease served as controls. Primary outcome was thyroid disorder. Secondary outcomes included use of steroids, immunosuppressive medications, surgery and incidence of fracture.RESULTS: The prevalence of hyperthyroidism was similar in both groups. However, the prevalence of hypothyroidism was lower in Crohn's patients (3.8 % vs 8.2 %, P=0.05).Within the Crohn's group, the use of immunosuppressive agents (0 % vs11 %), steroid usage (12.5 % vs37 %), small bowel surgery (12.5 % vs 28 %) and large bowel surgery (12.5 % vs27 %) were lower in the hypothyroid subset as compared to the euthyroid subset. Seven (3.4 %) Crohn'spatients suffered fracture, all of whom were euthyroid.CONCLUSION: Thyroid disorder was not found to be associated with Crohn's disease and was not found to increase the risk for fractures. Therefore, screening for thyroid disease is not a necessary component in the management of Crohn's disease.

A Knowledge-Base for a Personalized Infectious Disease Risk Prediction System.

Science.gov (United States)

Vinarti, Retno; Hederman, Lucy

2018-01-01

We present a knowledge-base to represent collated infectious disease risk (IDR) knowledge. The knowledge is about personal and contextual risk of contracting an infectious disease obtained from declarative sources (e.g. Atlas of Human Infectious Diseases). Automated prediction requires encoding this knowledge in a form that can produce risk probabilities (e.g. Bayesian Network - BN). The knowledge-base presented in this paper feeds an algorithm that can auto-generate the BN. The knowledge from 234 infectious diseases was compiled. From this compilation, we designed an ontology and five rule types for modelling IDR knowledge in general. The evaluation aims to assess whether the knowledge-base structure, and its application to three disease-country contexts, meets the needs of personalized IDR prediction system. From the evaluation results, the knowledge-base conforms to the system's purpose: personalization of infectious disease risk.

Revisiting Desensitization and Allergen Immunotherapy Concepts for the International Classification of Diseases (ICD)-11.

Science.gov (United States)

Tanno, Luciana Kase; Calderon, Moises A; Papadopoulos, Nikolaos G; Sanchez-Borges, Mario; Rosenwasser, Lanny J; Bousquet, Jean; Pawankar, Ruby; Sisul, Juan Carlos; Cepeda, Alfonso Mario; Li, James; Muraro, Antonella; Fineman, Stanley; Sublett, James L; Katelaris, Constance H; Chang, Yoon-Seok; Moon, Hee-Bom; Casale, Thomas; Demoly, Pascal

2016-01-01

Allergy and hypersensitivity intervention management procedures, such as desensitization and/or tolerance induction and immunotherapy, have not been pondered up to now in the content of International Classification of Diseases (ICD) context because the focus has been on prioritizing the condition implementations. Tremendous efforts have been devoted to implementing allergic and hypersensitivity conditions in the forthcoming ICD-11. However, we consider that it is crucial now to have nomenclature and classification universally accepted for these procedures to be able to provide scientifically consistent proposals into the new ICD-11 platform for the best practice parameters of our specialty. With the aim of promoting a harmonized comprehension and aligning it with the ICD-11 revision, we have reviewed the definitions and concepts currently used for desensitization and/or tolerance induction and immunotherapy. We strongly believe that this review is a key instrument to support the allergy specialty identity into the ICD-11 framework and serves as a platform to perform positive quality improvement in clinical practice. Copyright © 2016 American Academy of Allergy, Asthma & Immunology. All rights reserved.

C-reactive protein and serum creatinine, but not haemoglobin A1c, are independent predictors of coronary heart disease risk in non-diabetic Chinese.

Science.gov (United States)

Salim, Agus; Tai, E Shyong; Tan, Vincent Y; Welsh, Alan H; Liew, Reginald; Naidoo, Nasheen; Wu, Yi; Yuan, Jian-Min; Koh, Woon P; van Dam, Rob M

2016-08-01

In western populations, high-sensitivity C-reactive protein (hsCRP), and to a lesser degree serum creatinine and haemoglobin A1c, predict risk of coronary heart disease (CHD). However, data on Asian populations that are increasingly affected by CHD are sparse and it is not clear whether these biomarkers can be used to improve CHD risk classification. We conducted a nested case-control study within the Singapore Chinese Health Study cohort, with incident 'hard' CHD (myocardial infarction or CHD death) as an outcome. We used data from 965 men (298 cases, 667 controls) and 528 women (143 cases, 385 controls) to examine the utility of hsCRP, serum creatinine and haemoglobin A1c in improving the prediction of CHD risk over and above traditional risk factors for CHD included in the ATP III model. For each sex, the performance of models with only traditional risk factors used in the ATP III model was compared with models with the biomarkers added using weighted Cox proportional hazards analysis. The impact of adding these biomarkers was assessed using the net reclassification improvement index. For men, loge hsCRP (hazard ratio 1.25, 95% confidence interval: 1.05; 1.49) and loge serum creatinine (hazard ratio 4.82, 95% confidence interval: 2.10; 11.04) showed statistically significantly associations with CHD risk when added to the ATP III model. We did not observe a significant association between loge haemoglobin A1c and CHD risk (hazard ratio 1.83, 95% confidence interval: 0.21; 16.06). Adding hsCRP and serum creatinine to the ATP III model improved risk classification in men with a net gain of 6.3% of cases (p-value = 0.001) being reclassified to a higher risk category, while it did not significantly reduce the accuracy of classification for non-cases. For women, squared hsCRP was borderline significantly (hazard ratio 1.01, 95% confidence interval: 1.00; 1.03) and squared serum creatinine was significantly (hazard ratio 1.81, 95% confidence interval: 1.49; 2

Breast Cancer Survival Defined by the ER/PR/HER2 Subtypes and a Surrogate Classification according to Tumor Grade and Immunohistochemical Biomarkers

Directory of Open Access Journals (Sweden)

Carol A. Parise

2014-01-01

Full Text Available Introduction. ER, PR, and HER2 are routinely available in breast cancer specimens. The purpose of this study is to contrast breast cancer-specific survival for the eight ER/PR/HER2 subtypes with survival of an immunohistochemical surrogate for the molecular subtype based on the ER/PR/HER2 subtypes and tumor grade. Methods. We identified 123,780 cases of stages 1–3 primary female invasive breast cancer from California Cancer Registry. The surrogate classification was derived using ER/PR/HER2 and tumor grade. Kaplan-Meier survival analysis and Cox proportional hazards modeling were used to assess differences in survival and risk of mortality for the ER/PR/HER2 subtypes and surrogate classification within each stage. Results. The luminal B/HER2− surrogate classification had a higher risk of mortality than the luminal B/HER2+ for all stages of disease. There was no difference in risk of mortality between the ER+/PR+/HER2− and ER+/PR+/HER2+ in stage 3. With one exception in stage 3, the ER-negative subtypes all had an increased risk of mortality when compared with the ER-positive subtypes. Conclusions. Assessment of survival using ER/PR/HER2 illustrates the heterogeneity of HER2+ subtypes. The surrogate classification provides clear separation in survival and adjusted mortality but underestimates the wide variability within the subtypes that make up the classification.

[Homocystein--an independent risk factor for cardiovascular and thrombotic diseases].

Science.gov (United States)

Fowler, B

2005-09-01

Over the last 20 years homocysteine has taken on increasing importance as an independent, potentially modifiable risk factor for various forms of vascular disease including peripheral and cerebral vascular disease, coronary heart disease and thrombosis. This association has been ascertained in many retrospective and prospective studies but the strength of risk is not yet firmly established although it is clearly dependent on several modifying factors such as other risk factors, nutrition and genetic polymorphisms. Generally it is estimated that hyperhomocysteinaemia is responsible for about 10% of all risks. Homocysteine is formed from the dietary amino acid methionine and plays a pivotal role in folate metabolism and methyl group transfer. Its concentrations in tissues and plasma are influenced by many genetic and environmental factors, especially vitamins such as folate, B12 and B6 as well as certain medications and even life style factors. Nowadays the measurement of plasma homocysteine is freely available although care has to be taken in sample handling and interpretation of results. Final proof that homocysteine is a causal agent and not just a marker for cardiovascular disease and that reduction of plasma homocysteine by vitamin treatment reduces risk of cardiovascular disease is still awaited. Therefore at the present time neither wide-scale screening for homocysteine levels nor general prophylaxis with high dose vitamins is justified. However most experts recommend homocysteine determination in individuals with existing or high risk for arterial or venous blood vessel disease and their relatives. Elevated homocysteine can be lowered in such cases with a combination of folic acid, vitamin B12 vitamin B6. The results of ongoing trials on the impact of such treatment on risk of vascular disease are awaited with great interest.

'Awareness and attitudes towards total cardiovascular disease risk ...

African Journals Online (AJOL)

Microsoft account

Corresponding author: Dr S Ofori, Department of Internal Medicine, ... regarding total CVD risk assessment in clinical practice among physicians in Port ..... cardiovascular risk for prevention and control of cardiovascular disease in low and.

Unemployment risk among individuals undergoing medical treatment for chronic diseases.

Science.gov (United States)

Nakaya, N; Nakamura, T; Tsuchiya, N; Tsuji, I; Hozawa, A; Tomita, H

2016-03-01

Chronic diseases increase the risk of unemployment even in non-disaster settings; therefore, in post-disaster settings, special attention needs to be paid to the employment status of those suffering from chronic diseases. To examine the association between chronic disease and the risk of unemployment in a disaster area. This cross-sectional study was conducted in Shichigahama Town, Miyagi, north-eastern Japan, where had been severely inundated by the 2011 tsunami. Logistic regression analyses were used to evaluate the association between undergoing medical treatment for a combination of chronic diseases (stroke, cancer, myocardial infarction and angina) and unemployment risk. Confounders such as psychological distress and levels of daily life activity were considered. Among the 2588 individuals studied, there was a statistically significant association between undergoing medical treatment for chronic disease and the risk of unemployment [odds ratio (OR) = 1.7, 95% confidence interval (CI) 1.02-2.7, P unemployment risk was observed only in participants with a higher degree of psychological distress and/or poorer levels of daily life activity. © The Author 2015. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Columbia Classification Algorithm of Suicide Assessment (C-CASA): classification of suicidal events in the FDA's pediatric suicidal risk analysis of antidepressants.

Science.gov (United States)

Posner, Kelly; Oquendo, Maria A; Gould, Madelyn; Stanley, Barbara; Davies, Mark

2007-07-01

To evaluate the link between antidepressants and suicidal behavior and ideation (suicidality) in youth, adverse events from pediatric clinical trials were classified in order to identify suicidal events. The authors describe the Columbia Classification Algorithm for Suicide Assessment (C-CASA), a standardized suicidal rating system that provided data for the pediatric suicidal risk analysis of antidepressants conducted by the Food and Drug Administration (FDA). Adverse events (N=427) from 25 pediatric antidepressant clinical trials were systematically identified by pharmaceutical companies. Randomly assigned adverse events were evaluated by three of nine independent expert suicidologists using the Columbia classification algorithm. Reliability of the C-CASA ratings and agreement with pharmaceutical company classification were estimated. Twenty-six new, possibly suicidal events (behavior and ideation) that were not originally identified by pharmaceutical companies were identified in the C-CASA, and 12 events originally labeled as suicidal by pharmaceutical companies were eliminated, which resulted in a total of 38 discrepant ratings. For the specific label of "suicide attempt," a relatively low level of agreement was observed between the C-CASA and pharmaceutical company ratings, with the C-CASA reporting a 50% reduction in ratings. Thus, although the C-CASA resulted in the identification of more suicidal events overall, fewer events were classified as suicide attempts. Additionally, the C-CASA ratings were highly reliable (intraclass correlation coefficient [ICC]=0.89). Utilizing a methodical, anchored approach to categorizing suicidality provides an accurate and comprehensive identification of suicidal events. The FDA's audit of the C-CASA demonstrated excellent transportability of this approach. The Columbia algorithm was used to classify suicidal adverse events in the recent FDA adult antidepressant safety analyses and has also been mandated to be applied to all

Current food classifications in epidemiological studies do not enable solid nutritional recommendations for preventing diet-related chronic diseases: the impact of food processing.

Science.gov (United States)

Fardet, Anthony; Rock, Edmond; Bassama, Joseph; Bohuon, Philippe; Prabhasankar, Pichan; Monteiro, Carlos; Moubarac, Jean-Claude; Achir, Nawel

2015-11-01

To date, observational studies in nutrition have categorized foods into groups such as dairy, cereals, fruits, and vegetables. However, the strength of the association between food groups and chronic diseases is far from convincing. In most international expert surveys, risks are most commonly scored as probable, limited, or insufficient rather than convincing. In this position paper, we hypothesize that current food classifications based on botanical or animal origins can be improved to yield solid recommendations. We propose using a food classification that employs food processes to rank foods in epidemiological studies. Indeed, food health potential results from both nutrient density and food structure (i.e., the matrix effect), both of which can potentially be positively or negatively modified by processing. For example, cereal-based foods may be more or less refined, fractionated, and recombined with added salt, sugars, and fats, yielding a panoply of products with very different nutritional values. The same is true for other food groups. Finally, we propose that from a nutritional perspective, food processing will be an important issue to consider in the coming years, particularly in terms of strengthening the links between food and health and for proposing improved nutritional recommendations or actions. © 2015 American Society for Nutrition.

Risk of Hodgkin's disease and other cancers after infectious mononucleosis

DEFF Research Database (Denmark)

Hjalgrim, H; Askling, J; Sørensen, P

2000-01-01

BACKGROUND: Infectious mononucleosis, which is caused by the Epstein-Barr virus, has been associated with an increased risk for Hodgkin's disease. Little is known, however, about how infectious mononucleosis affects long-term risk of Hodgkin's disease, how this risk varies with age at infectious...... mononucleosis diagnosis, or how the risk for Hodgkin's disease varies in different age groups. In addition, the general cancer profile among patients who have had infectious mononucleosis has been sparsely studied. METHODS: Population-based cohorts of infectious mononucleosis patients in Denmark and Sweden were...... statistical tests including the trend tests were two-sided. RESULTS: A total of 1381 cancers were observed during 689 619 person-years of follow-up among 38 562 infectious mononucleosis patients (SIR = 1. 03; 95% confidence interval [CI] = 0.98-1.09). Apart from Hodgkin's disease (SIR = 2.55; 95% CI = 1...

An integrated risk assessment tool for team-based periodontal disease management.

Science.gov (United States)

Thyvalikakath, Thankam P; Padman, Rema; Gupta, Sugandh

2013-01-01

Mounting evidence suggests a potential association of periodontal disease with systemic diseases such as diabetes, cardiovascular disease, cancer and stroke. The objective of this study is to develop an integrated risk assessment tool that displays a patients' risk for periodontal disease in the context of their systemic disease, social habits and oral health. Such a tool will be used by not just dental professionals but also by care providers who participate in the team-based care for chronic disease management. Displaying relationships between risk factors and its influence on the patient's general health could be a powerful educational and disease management tool for patients and clinicians. It may also improve the coordination of care provided by the provider-members of a chronic care team.

Reanalysis of atomic bomb survivors' leukemia based on the recent classification for leukemias

International Nuclear Information System (INIS)

Matsuo, Tatsuki; Tomonaga, Masao.

1990-01-01

Four hundred and ninety-three A-bomb survivors developing leukemia, who had been exposed within 9,000 m from the hypocenter, were entered on the study for reanalysis of their disease based on the new classification. Chronic myelocytic leukemia (CML) showed the highest concordance rate (95%) between the previous and new classifications. For 10 survivors previously diagnosed as having chronic lymphocytic leukemia (CLL), a new classification diagnosed CLL as well in 3 and adult T-cell leukemia in the other 7. None of the A-bomb survivors exposed to one Gy or more had subtype M3 of acute myelocytic leukemia (AML), although the exposed group had almost the same distribution pattern of AML subtypes as the naturally induced leukemic group. The incidence of CML was significantly lower than that of AML in Nagasaki A-bomb survivors. As A-bomb survivors were older at the time of A-bombing, the relative risk of acute lymphoblastic leukemia (ALL) was decreased; that of CML and other types of leukemia was increased. An increased relative risk of ALL and CML tended to be associated with larger doses. A significantly shortened interval between A-bomb exposure and the development of leukemia was also associated with larger doses. (N.K.)

Added Sugars and Cardiovascular Disease Risk in Children

Science.gov (United States)

Vos, Miriam B.; Kaar, Jill L.; Welsh, Jean A.; Van Horn, Linda V.; Feig, Daniel I.; Anderson, Cheryl A.M.; Patel, Mahesh J.; Munos, Jessica Cruz; Krebs, Nancy F.; Xanthakos, Stavra A.; Johnson, Rachel K.

2017-01-01

BACKGROUND Poor lifestyle behaviors are leading causes of preventable diseases globally. Added sugars contribute to a diet that is energy dense but nutrient poor and increase risk of developing obesity, cardiovascular disease, hypertension, obesity-related cancers, and dental caries. METHODS AND RESULTS For this American Heart Association scientific statement, the writing group reviewed and graded the current scientific evidence for studies examining the cardiovascular health effects of added sugars on children. The available literature was subdivided into 5 broad subareas: effects on blood pressure, lipids, insulin resistance and diabetes mellitus, nonalcoholic fatty liver disease, and obesity. CONCLUSIONS Associations between added sugars and increased cardiovascular disease risk factors among US children are present at levels far below current consumption levels. Strong evidence supports the association of added sugars with increased cardiovascular disease risk in children through increased energy intake, increased adiposity, and dyslipidemia. The committee found that it is reasonable to recommend that children consume ≤25 g (100 cal or ≈6 teaspoons) of added sugars per day and to avoid added sugars for children added sugars most likely can be safely consumed in low amounts as part of a healthy diet, few children achieve such levels, making this an important public health target. PMID:27550974

Dopamine agonists and risk: impulse control disorders in Parkinson's disease.

Science.gov (United States)

Voon, Valerie; Gao, Jennifer; Brezing, Christina; Symmonds, Mkael; Ekanayake, Vindhya; Fernandez, Hubert; Dolan, Raymond J; Hallett, Mark

2011-05-01

Impulse control disorders are common in Parkinson's disease, occurring in 13.6% of patients. Using a pharmacological manipulation and a novel risk taking task while performing functional magnetic resonance imaging, we investigated the relationship between dopamine agonists and risk taking in patients with Parkinson's disease with and without impulse control disorders. During functional magnetic resonance imaging, subjects chose between two choices of equal expected value: a 'Sure' choice and a 'Gamble' choice of moderate risk. To commence each trial, in the 'Gain' condition, individuals started at $0 and in the 'Loss' condition individuals started at -$50 below the 'Sure' amount. The difference between the maximum and minimum outcomes from each gamble (i.e. range) was used as an index of risk ('Gamble Risk'). Sixteen healthy volunteers were behaviourally tested. Fourteen impulse control disorder (problem gambling or compulsive shopping) and 14 matched Parkinson's disease controls were tested ON and OFF dopamine agonists. Patients with impulse control disorder made more risky choices in the 'Gain' relative to the 'Loss' condition along with decreased orbitofrontal cortex and anterior cingulate activity, with the opposite observed in Parkinson's disease controls. In patients with impulse control disorder, dopamine agonists were associated with enhanced sensitivity to risk along with decreased ventral striatal activity again with the opposite in Parkinson's disease controls. Patients with impulse control disorder appear to have a bias towards risky choices independent of the effect of loss aversion. Dopamine agonists enhance sensitivity to risk in patients with impulse control disorder possibly by impairing risk evaluation in the striatum. Our results provide a potential explanation of why dopamine agonists may lead to an unconscious bias towards risk in susceptible individuals.

Classification of optical coherence tomography images for diagnosing different ocular diseases

Science.gov (United States)

Gholami, Peyman; Sheikh Hassani, Mohsen; Kuppuswamy Parthasarathy, Mohana; Zelek, John S.; Lakshminarayanan, Vasudevan

2018-03-01

Optical Coherence tomography (OCT) images provide several indicators, e.g., the shape and the thickness of different retinal layers, which can be used for various clinical and non-clinical purposes. We propose an automated classification method to identify different ocular diseases, based on the local binary pattern features. The database consists of normal and diseased human eye SD-OCT images. We use a multiphase approach for building our classifier, including preprocessing, Meta learning, and active learning. Pre-processing is applied to the data to handle missing features from images and replace them with the mean or median of the corresponding feature. All the features are run through a Correlation-based Feature Subset Selection algorithm to detect the most informative features and omit the less informative ones. A Meta learning approach is applied to the data, in which a SVM and random forest are combined to obtain a more robust classifier. Active learning is also applied to strengthen our classifier around the decision boundary. The primary experimental results indicate that our method is able to differentiate between the normal and non-normal retina with an area under the ROC curve (AUC) of 98.6% and also to diagnose the three common retina-related diseases, i.e., Age-related Macular Degeneration, Diabetic Retinopathy, and Macular Hole, with an AUC of 100%, 95% and 83.8% respectively. These results indicate a better performance of the proposed method compared to most of the previous works in the literature.

Risk-based management of invading plant disease.

Science.gov (United States)

Hyatt-Twynam, Samuel R; Parnell, Stephen; Stutt, Richard O J H; Gottwald, Tim R; Gilligan, Christopher A; Cunniffe, Nik J

2017-05-01

Effective control of plant disease remains a key challenge. Eradication attempts often involve removal of host plants within a certain radius of detection, targeting asymptomatic infection. Here we develop and test potentially more effective, epidemiologically motivated, control strategies, using a mathematical model previously fitted to the spread of citrus canker in Florida. We test risk-based control, which preferentially removes hosts expected to cause a high number of infections in the remaining host population. Removals then depend on past patterns of pathogen spread and host removal, which might be nontransparent to affected stakeholders. This motivates a variable radius strategy, which approximates risk-based control via removal radii that vary by location, but which are fixed in advance of any epidemic. Risk-based control outperforms variable radius control, which in turn outperforms constant radius removal. This result is robust to changes in disease spread parameters and initial patterns of susceptible host plants. However, efficiency degrades if epidemiological parameters are incorrectly characterised. Risk-based control including additional epidemiology can be used to improve disease management, but it requires good prior knowledge for optimal performance. This focuses attention on gaining maximal information from past epidemics, on understanding model transferability between locations and on adaptive management strategies that change over time. © 2017 The Authors. New Phytologist © 2017 New Phytologist Trust.

Intelligence system based classification approach for medical disease diagnosis

Science.gov (United States)

Sagir, Abdu Masanawa; Sathasivam, Saratha

2017-08-01

The prediction of breast cancer in women who have no signs or symptoms of the disease as well as survivability after undergone certain surgery has been a challenging problem for medical researchers. The decision about presence or absence of diseases depends on the physician's intuition, experience and skill for comparing current indicators with previous one than on knowledge rich data hidden in a database. This measure is a very crucial and challenging task. The goal is to predict patient condition by using an adaptive neuro fuzzy inference system (ANFIS) pre-processed by grid partitioning. To achieve an accurate diagnosis at this complex stage of symptom analysis, the physician may need efficient diagnosis system. A framework describes methodology for designing and evaluation of classification performances of two discrete ANFIS systems of hybrid learning algorithms least square estimates with Modified Levenberg-Marquardt and Gradient descent algorithms that can be used by physicians to accelerate diagnosis process. The proposed method's performance was evaluated based on training and test datasets with mammographic mass and Haberman's survival Datasets obtained from benchmarked datasets of University of California at Irvine's (UCI) machine learning repository. The robustness of the performance measuring total accuracy, sensitivity and specificity is examined. In comparison, the proposed method achieves superior performance when compared to conventional ANFIS based gradient descent algorithm and some related existing methods. The software used for the implementation is MATLAB R2014a (version 8.3) and executed in PC Intel Pentium IV E7400 processor with 2.80 GHz speed and 2.0 GB of RAM.

Risk based surveillance for vector borne diseases

DEFF Research Database (Denmark)

Bødker, Rene

of samples and hence early detection of outbreaks. Models for vector borne diseases in Denmark have demonstrated dramatic variation in outbreak risk during the season and between years. The Danish VetMap project aims to make these risk based surveillance estimates available on the veterinarians smart phones...... in Northern Europe. This model approach may be used as a basis for risk based surveillance. In risk based surveillance limited resources for surveillance are targeted at geographical areas most at risk and only when the risk is high. This makes risk based surveillance a cost effective alternative...... sample to a diagnostic laboratory. Risk based surveillance models may reduce this delay. An important feature of risk based surveillance models is their ability to continuously communicate the level of risk to veterinarians and hence increase awareness when risk is high. This is essential for submission...

Cardiovascular disease risk factors: a childhood perspective.

Science.gov (United States)

Praveen, Pradeep A; Roy, Ambuj; Prabhakaran, Dorairaj

2013-03-01

Atherosclerotic cardiovascular disease (CVD) is one of the leading causes of death and disability worldwide including in developing countries like India. Indians are known to be predisposed to CVD, which occur almost a decade earlier in them. Though these diseases manifest in the middle age and beyond, it is now clear that the roots of CVD lie in childhood and adolescence. Many of the conventional risk factors of CVD such as high blood pressure, dyslipidemia, tobacco use, unhealthy diet and obesity have their beginnings in childhood and then track overtime. It is thus important to screen and identify these risk factors early and treat them to prevent onset of CVD. Similarly community based strategies to prevent onset of these risk factors is imperative to tackle this burgeoning public health crisis especially in countries like ours with limited resources.

Peripheral artery disease is a coronary heart disease risk equivalent among both men and women

DEFF Research Database (Denmark)

Subherwal, Sumeet; Patel, Manesh R; Kober, Lars

2015-01-01

AIMS: Lower extremity peripheral artery disease (PAD) has been proposed as a 'coronary heart disease (CHD) risk equivalent'. We aimed to examine whether PAD confers similar risk for mortality as incident myocardial infarction (MI) and whether risk differs by gender. METHODS: Using nationwide Dani...... and cardiovascular mortality vs. those with incident MI. PAD should be considered a CHD risk equivalent, warranting aggressive secondary prevention........62-1.80, respectively), and composite of death, MI, and ischaemic stroke, 95% CI HR, 1.38, 95% CI 1.36-1.42; and HR 1.68, 95% CI 1.61-1.75, respectively). The greater long-term risks of PAD were seen for both women and men. CONCLUSIONS: Both women and men with incident PAD have greater long-term risks of total...

Preventing Cardiovascular Disease Risk Factors through Aerobic ...

African Journals Online (AJOL)

This paper focused on the reduction of cardiovascular disease risk factors, through aerobic exercises. The central argument here is that through exercise there is the tendency for increased strength of the heart muscles. When this is the case, what follows is a reduction in body weight and ultimately less risk on the ...

77 FR 9842 - Health Claim; Phytosterols and Risk of Coronary Heart Disease

Science.gov (United States)

2012-02-21

... (formerly 2006P-0316)] Health Claim; Phytosterols and Risk of Coronary Heart Disease AGENCY: Food and Drug... concerning the use of the health claim for phytosterols and risk of coronary heart disease (CHD), in a manner... risk of coronary heart disease (CHD) for phytosterol-containing conventional food and dietary...

Utilizing Dental Electronic Health Records Data to Predict Risk for Periodontal Disease.

Science.gov (United States)

Thyvalikakath, Thankam P; Padman, Rema; Vyawahare, Karnali; Darade, Pratiksha; Paranjape, Rhucha

2015-01-01

Periodontal disease is a major cause for tooth loss and adversely affects individuals' oral health and quality of life. Research shows its potential association with systemic diseases like diabetes and cardiovascular disease, and social habits such as smoking. This study explores mining potential risk factors from dental electronic health records to predict and display patients' contextualized risk for periodontal disease. We retrieved relevant risk factors from structured and unstructured data on 2,370 patients who underwent comprehensive oral examinations at the Indiana University School of Dentistry, Indianapolis, IN, USA. Predicting overall risk and displaying relationships between risk factors and their influence on the patient's oral and general health can be a powerful educational and disease management tool for patients and clinicians at the point of care.

Pulmonary Hypertension in Congenital Heart Disease: Beyond Eisenmenger Syndrome.

Science.gov (United States)

Krieger, Eric V; Leary, Peter J; Opotowsky, Alexander R

2015-11-01

Patients with adult congenital heart disease have an increased risk of developing pulmonary hypertension. There are several mechanisms of pulmonary hypertension in patients with adult congenital heart disease, and understanding them requires a systematic approach to define the patient's hemodynamics and physiology. This article reviews the updated classification of pulmonary hypertension in patients with adult congenital heart disease with a focus on pathophysiology, diagnostics, and the evaluation of pulmonary hypertension in special adult congenital heart disease populations. Copyright © 2015 Elsevier Inc. All rights reserved.

Molecular prediction of disease risk and severity in a large Dutch Crohn's disease cohort

NARCIS (Netherlands)

Weersma, R.K.; Stokkers, P.C.F.; van Bodegraven, A.A.; van Hogezand, R.A.; Verspaget, H.W.; de Jong, D.J.; van der Woude, C.J.; Oldenburg, B.; Linskens, R.K.; Festen, E.A.M.; van der Steege, G.; Hommes, D.W.; Crusius, J.B.A.; Wijmenga, C.; Nolte, I.M.; Dijkstra, G.

2009-01-01

Background: Crohn's disease and ulcerative colitis have a complex genetic background. We assessed the risk for both the development and severity of the disease by combining information from genetic variants associated with inflammatory bowel disease (IBD). Methods: We studied 2804 patients (1684

Increased Risk of Gallstone Disease Following Colectomy for Ulcerative Colitis

DEFF Research Database (Denmark)

Mark-Christensen, Anders; Brandsborg, Søren; Laurberg, Søren

2017-01-01

Objectives:Biochemical studies suggest that patients who have had a colectomy or restorative proctocolectomy with ileal pouch-anal anastomosis (IPAA) are at an increased risk of developing gallstone disease, but epidemiological studies are lacking. We evaluated the risk of gallstone disease follo...

National Insect and Disease Risk Map (NIDRM)--cutting edge software for rapid insect and disease risk model development

Science.gov (United States)

Frank J. Krist

2010-01-01

The Forest Health Technology Enterprise Team (FHTET) of the U.S. Forest Service is leading an effort to produce the next version of the National Insect and Disease Risk Map (NIDRM) for targeted release in 2011. The goal of this effort is to update spatial depictions of risk of tree mortality based on: (1) newly derived 240-m geospatial information depicting the...

Genetically elevated bilirubin and risk of ischaemic heart disease

DEFF Research Database (Denmark)

Stender, Stefan; Frikke-Schmidt, R; Nordestgaard, B G

2013-01-01

Elevated plasma levels of bilirubin, an endogenous antioxidant, have been associated with reduced risk of ischaemic heart disease (IHD) and myocardial infarction (MI). Whether this is a causal relationship remains unclear.......Elevated plasma levels of bilirubin, an endogenous antioxidant, have been associated with reduced risk of ischaemic heart disease (IHD) and myocardial infarction (MI). Whether this is a causal relationship remains unclear....

The biobank for the molecular classification of kidney disease: research translation and precision medicine in nephrology.

Science.gov (United States)

Muruve, Daniel A; Mann, Michelle C; Chapman, Kevin; Wong, Josee F; Ravani, Pietro; Page, Stacey A; Benediktsson, Hallgrimur

2017-07-26

Advances in technology and the ability to interrogate disease pathogenesis using systems biology approaches are exploding. As exemplified by the substantial progress in the personalized diagnosis and treatment of cancer, the application of systems biology to enable precision medicine in other disciplines such as Nephrology is well underway. Infrastructure that permits the integration of clinical data, patient biospecimens and advanced technologies is required for institutions to contribute to, and benefit from research in molecular disease classification and to devise specific and patient-oriented treatments. We describe the establishment of the Biobank for the Molecular Classification of Kidney Disease (BMCKD) at the University of Calgary, Alberta, Canada. The BMCKD consists of a fully equipped wet laboratory, an information technology infrastructure, and a formal operational, ethical and legal framework for banking human biospecimens and storing clinical data. The BMCKD first consolidated a large retrospective cohort of kidney biopsy specimens to create a population-based renal pathology database and tissue inventory of glomerular and other kidney diseases. The BMCKD will continue to prospectively bank all kidney biopsies performed in Southern Alberta. The BMCKD is equipped to perform molecular, clinical and epidemiologic studies in renal pathology. The BMCKD also developed formal biobanking procedures for human specimens such as blood, urine and nucleic acids collected for basic and clinical research studies or for advanced diagnostic technologies in clinical care. The BMCKD is guided by standard operating procedures, an ethics framework and legal agreements with stakeholders that include researchers, data custodians and patients. The design and structure of the BMCKD permits its inclusion in a wide variety of research and clinical activities. The BMCKD is a core multidisciplinary facility that will bridge basic and clinical research and integrate precision

Endometriosis: a high-risk population for major chronic diseases?

Science.gov (United States)

Kvaskoff, Marina; Mu, Fan; Terry, Kathryn L.; Harris, Holly R.; Poole, Elizabeth M.; Farland, Leslie; Missmer, Stacey A.

2015-01-01

BACKGROUND Despite an estimated prevalence of 10% in women, the etiology of endometriosis remains poorly understood. Over recent decades, endometriosis has been associated with risk of several chronic diseases, such as cancer, autoimmune diseases, asthma/atopic diseases and cardiovascular diseases. A deeper understanding of these associations is needed as they may provide new leads into the causes or consequences of endometriosis. This review summarizes the available epidemiological findings on the associations between endometriosis and other chronic diseases and discusses hypotheses for underlying mechanisms, potential sources of bias and methodological complexities. METHODS We performed a comprehensive search of the PubMed/Medline and ISI Web of Knowledge databases for all studies reporting on the associations between endometriosis and other diseases published in English through to May 2014, using numerous search terms. We additionally examined the reference lists of all identified papers to capture any additional articles that were not identified through computer searches. RESULTS We identified 21 studies on the associations between endometriosis and ovarian cancer, 14 for breast cancer, 8 for endometrial cancer, 4 for cervical cancer, 12 for cutaneous melanoma and 3 for non-Hodgkin's lymphoma, as well as 9 on the links between endometriosis and autoimmune diseases, 6 on the links with asthma and atopic diseases, and 4 on the links with cardiovascular diseases. Endometriosis patients were reported to be at higher risk of ovarian and breast cancers, cutaneous melanoma, asthma, and some autoimmune, cardiovascular and atopic diseases, and at decreased risk of cervical cancer. CONCLUSIONS Increasing evidence suggests that endometriosis patients are at higher risk of several chronic diseases. Although the underlying mechanisms are not yet understood, the available data to date suggest that endometriosis is not harmless with respects to women's long-term health. If

Malignancy Risk Assessment in Patients with Thyroid Nodules Using Classification and Regression Trees

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Shokouh Taghipour Zahir

2013-01-01

Full Text Available Purpose. We sought to investigate the utility of classification and regression trees (CART classifier to differentiate benign from malignant nodules in patients referred for thyroid surgery. Methods. Clinical and demographic data of 271 patients referred to the Sadoughi Hospital during 2006–2011 were collected. In a two-step approach, a CART classifier was employed to differentiate patients with a high versus low risk of thyroid malignancy. The first step served as the screening procedure and was tailored to produce as few false negatives as possible. The second step identified those with the lowest risk of malignancy, chosen from a high risk population. Sensitivity, specificity, positive and negative predictive values (PPV and NPV of the optimal tree were calculated. Results. In the first step, age, sex, and nodule size contributed to the optimal tree. Ultrasonographic features were employed in the second step with hypoechogenicity and/or microcalcifications yielding the highest discriminatory ability. The combined tree produced a sensitivity and specificity of 80.0% (95% CI: 29.9–98.9 and 94.1% (95% CI: 78.9–99.0, respectively. NPV and PPV were 66.7% (41.1–85.6 and 97.0% (82.5–99.8, respectively. Conclusion. CART classifier reliably identifies patients with a low risk of malignancy who can avoid unnecessary surgery.

Differential Classification of Dementia

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E. Mohr

1995-01-01

Full Text Available In the absence of biological markers, dementia classification remains complex both in terms of characterization as well as early detection of the presence or absence of dementing symptoms, particularly in diseases with possible secondary dementia. An empirical, statistical approach using neuropsychological measures was therefore developed to distinguish demented from non-demented patients and to identify differential patterns of cognitive dysfunction in neurodegenerative disease. Age-scaled neurobehavioral test results (Wechsler Adult Intelligence Scale—Revised and Wechsler Memory Scale from Alzheimer's (AD and Huntington's (HD patients, matched for intellectual disability, as well as normal controls were used to derive a classification formula. Stepwise discriminant analysis accurately (99% correct distinguished controls from demented patients, and separated the two patient groups (79% correct. Variables discriminating between HD and AD patient groups consisted of complex psychomotor tasks, visuospatial function, attention and memory. The reliability of the classification formula was demonstrated with a new, independent sample of AD and HD patients which yielded virtually identical results (classification accuracy for dementia: 96%; AD versus HD: 78%. To validate the formula, the discriminant function was applied to Parkinson's (PD patients, 38% of whom were classified as demented. The validity of the classification was demonstrated by significant PD subgroup differences on measures of dementia not included in the discriminant function. Moreover, a majority of demented PD patients (65% were classified as having an HD-like pattern of cognitive deficits, in line with previous reports of the subcortical nature of PD dementia. This approach may thus be useful in classifying presence or absence of dementia and in discriminating between dementia subtypes in cases of secondary or coincidental dementia.

RISK FACTORS ASSOCIATED WITH CARDIOVASCULAR DISEASE IN PRISON POPULATION

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Ricardo Soares de OliveiraI

2014-02-01

Full Text Available This work aimed to make a reflection about the risk factors associated with cardiovascular disease in the prison population, as well as the performance of the health care team in these spaces. It is a reflective approach, literature that included e-journal articles, published in the year 2003 to 2011, indexed at LILACS, Scielo, MEDLINE, and available in full. Textbooks were also consulted and ordinances of Ministry of health and Justice of Brazil. Used the descriptors "risk factors," "cardiovascular disease" and "Prisoners". It was noted that the current situation of overcrowding in prisons is, with unhealthy environment, which imposes risks the health of prisoners. The living habits, such as use of alcohol and drugs (cocaine, marijuana, tranquillizers and tobacco, increases the risk for cardiovascular disease. In addition, the authors emphasize, a priori, the low level of schooling of the detainees. The performance of the health care team must be based on educational practices for promoting and monitoring the health, with multidisciplinary support. Further studies need to be done in order to investigate the incidence of cardiovascular diseases, as well as evidence of the effectiveness of health care for this population.

Inflammatory bowel disease increases the risk of Parkinson's disease

DEFF Research Database (Denmark)

Villumsen, Marie; Aznar, Susana; Pakkenberg, Bente

2018-01-01

OBJECTIVE: Intestinal inflammation has been suggested to play a role in development of Parkinson's disease (PD) and multiple system atrophy (MSA). To test the hypothesis that IBD is associated with risk of PD and MSA, we performed a nationwide population-based cohort study. DESIGN: The cohort...... patients with UC (HR=1.35; 95% CI 1.20 to 1.52) and not significantly different among patients with Crohn's disease (HR=1.12; 95% CI 0.89 to 1.40). CONCLUSIONS: This nationwide, unselected, cohort study shows a significant association between IBD and later occurrence of PD, which is consistent with recent...

Climate-Agriculture-Modeling and Decision Tool for Disease (CAMDT-Disease) for seasonal climate forecast-based crop disease risk management in agriculture

Science.gov (United States)

Kim, K. H.; Lee, S.; Han, E.; Ines, A. V. M.

2017-12-01

Climate-Agriculture-Modeling and Decision Tool (CAMDT) is a decision support system (DSS) tool that aims to facilitate translations of probabilistic seasonal climate forecasts (SCF) to crop responses such as yield and water stress. Since CAMDT is a software framework connecting different models and algorithms with SCF information, it can be easily customized for different types of agriculture models. In this study, we replaced the DSSAT-CSM-Rice model originally incorporated in CAMDT with a generic epidemiological model, EPIRICE, to generate a seasonal pest outlook. The resulting CAMDT-Disease generates potential risks for selected fungal, viral, and bacterial diseases of rice over the next months by translating SCFs into agriculturally-relevant risk information. The integrated modeling procedure of CAMDT-Disease first disaggregates a given SCF using temporal downscaling methods (predictWTD or FResampler1), runs EPIRICE with the downscaled weather inputs, and finally visualizes the EPIRICE outputs as disease risk compared to that of the previous year and the 30-year-climatological average. In addition, the easy-to-use graphical user interface adopted from CAMDT allows users to simulate "what-if" scenarios of disease risks over different planting dates with given SCFs. Our future work includes the simulation of the effect of crop disease on yields through the disease simulation models with the DSSAT-CSM-Rice model, as disease remains one of the most critical yield-reducing factors in the field.

Diagnosis of periodontal diseases using different classification ...

African Journals Online (AJOL)

2014-11-29

Nov 29, 2014 ... Nigerian Journal of Clinical Practice • May-Jun 2015 • Vol 18 • Issue 3 ... Materials and Methods: A total of 150 patients was divided into two groups such as training ... functions from training data and DT learning is one of ... were represented as numerical codings for classification ..... tool within dentistry.

Risk factors for cardiovascular disease in the Ga-Rankuwa community

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Y.Q. Li

2007-09-01

Full Text Available Cardiovascular disease is the most common and yet one of the most preventable causes of death in the world. Rapid urbanization in South Africa is accompanied by rapid changes in lifestyle and environmental exposure that increase the burden of chronic cardiovascular diseases. Risk factors, modifiable or nonmodifiable, exist that increases a person’s chances of developing cardiovascular disease. Though some knowledge is available about the prevalence of the risk factors in South Africa, no information is available regarding the community of Ga-Rankuwa. The purpose of the study was therefore to investigate the prevalence of risk factors for cardiovascular disease amongst the working-age people (18-40 years in Ga-Rankuwa community. A quantitative survey was done and the sample was selected from zone 1,2,4, and 16 of Ga-Rankuwa from July 2005 to October 2005. The sampling method was census sampling (n=604. The data-gathering was self-report using a structured questionnaire as well as physical measurement. Data were analysed using descriptive statistics. The results indicated that risk factors, specifically obesity, physical inactivity and hypertension, were very prevalent in Ga-Rankuwa community. Different distributions of risk factors exist in the various sex and age groups. This finding again emphasises the importance of not developing health interventions with a single focus, for example hypertension or obesity. The risk factors are interwoven and affect each other. It is important to initiate a comprehensive health project to lower the risk factors of cardiovascular disease in the Ga-Rankuwa community.

Allergen-specific immunotherapy and risk of autoimmune disease

DEFF Research Database (Denmark)

Linneberg, Allan; Madsen, Flemming; Skaaby, Tea

2012-01-01