Critical analysis of the international classification of headache disorders diagnostic criteria (ICHD I-1988) and (ICHD II-2004), for migraine in children and adolescents

The present study analyzed the (ICHD I-1988) and ( ICHD II-2004) diagnostic criteria in children and adolescents. Our population consisted of 496 patients of the Headache Outpatient Ward for Children and Adolescents retrospectively studied from 1992 to 2002. Individuals were classified according to three diagnostic groups: Intuitive Clinical Diagnosis ( Gold Standard), ICHD I-1988 and ICHD II-2004. They were statistically compared using the variables: Sensitivity ( S), Specificity (Sp), Positive Predictive Value (PPV), Negative Predictive Value (NPV). When ICHD I-1988 was used, the sensitivity of migraine without and with aura was 21% and 27%, respectively, whereas in ICHD II-2004 it changed to 53% and 71% without affecting specificity. As a conclusion, the current classification criteria ( ICHD II-2004) showed greater sensitivity and high specificity for migraine than ICHD I-1988, although it improved migraine diagnosis in children and adolescents, the sensitivity remains poor.

A terminologia relativa à hanseníase

A padronização internacional de doenças é um processo complexo que necessita de uma equipe especializada. Esta comunicação visa a esclarecer e sugerir correções de um provável equívoco na tradução, para o português da CID-10, do código A30, no qual os termos borderline e dimorfo são utilizados como subcategorias distintas e não como sinônimos, assim como substituir a designação lepromatosa por virchoviana pois, no Brasil, o vocábulo lepra foi abolido dos textos oficiais, por uma lei federal em 1995.

Perfil do absenteísmo: doença em indústria do interior Paulista, 2007 a 2009

Pós-graduação em Enfermagem (mestrado profissional) - FMB

Absenteísmo por doença ocupacional de trabalhadores rurais no setor canavieiro

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Tendência de mortalidade de idosos por doenças crônicas no município de Marília-SP, Brasil: 1998 a 2000 e 2005 a 2007

OBJECTIVE: to describe elderly mortality from cardiovascular and respiratory diseases and neoplasms in Marilia (SP). METHODS: this is a descriptive study of mortality from three diseases as defined by the 10th International Classification of Diseases, between 1998-2000 and 2005-2007. Mortality Information System records were used. Mortality rates by age and sex were calculated. RESULTS: circulatory diseases were the main causes of death among the elderly (39.25%). Neoplasm decline was noticed in both sexes and in those aged 60-69, particularly prostate cancer in men (-83.86%) and breast cancer (-70.96%) in this age group. Deaths from respiratory diseases increased in patients aged 80 and older: 39.31% in men and 57.92% in women. CONCLUSION: mortality from circulatory diseases and neoplasms among the elderly showed a decline, with increased mortality from respiratory system problems in patients 80 years of age and older.

Morbidades e consumo de álcool em pacientes internados na Clínica Médica de um hospital universitário

Abusive consumption of alcohol leads to several negative consequences to health and quality of life, as it increases the frequency of diseases that cause death or functional disabilities. The rates of patients admitted to hospital due to physical problems stemming from alcohol abuse are high. This study aimed at identifying patients according to variables age, gender and education level as well as at evaluating the prevalence of CAGE-positive patients and morbidity due to CID-10 (International Classification of Diseases) by the World Health Organization. It is a cross-sectional, observational, exploratory, descriptive and quantitative study. It was conducted at the Botucatu School of Medicine University Hospital (HC) from July to September 2010, at the Internal Medicine ward. This ward aggregates 5 specialties, namely, Cardiology, Hematology, General Medicine, Nephrology and Gastroclinic. Presently, it has 36 beds, of which four are for Intensive Care Therapy (ICT). Three hundred and ten medical charts were analyzed for identification of morbidities and of variables age, gender and schooling. A closed semistructured questionnaire including, among other questions, the CAGE test was applied to each individual. The CAGE test is a questionnaire that comprises four questions and considers that one who answers two or more of such questions affirmatively is a suspected case of alcoholism. The total population studied included 310 patients. Indexes of 60% (186) male and of 40% (124) female patients were found. As regards age range, a population with a higher prevalence of individuals from 51 to 70 years old (41%) was observed. The main education indexes were: incomplete Elementary School: 23.22% (72), complete Elementary School: 21.61% (67), incomplete Secondary School: 18.40% (57) and Illiteracy: 17.74% (55). As regards diseases, a higher proportion was observed for: ...(Complete abstract click electronic access below)

A saúde do homem: doenças crônicas não transmissíveis e vulnerabilidade social

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Dental anomalies in patients with down syndrome

The purpose of the present study was to evaluate the incidence of dental anomalies in Brazilian patients with Down syndrome. A sample with 49 panoramic x-rays of syndromic patients aged 3 to 33 years (22 male and 27 female) was used. The characteristics of dental anomalies were observed in the panoramic radiographs in both the primary and permanent dentition, according to the ICD (International Classification of Diseases). The corresponding tables and percentile analysis were elaborated. There was a high incidence of syndromic patients with different types of anomalies, such as taurodontism (50%), proven anodontia (20.2%), suspected anodontia (10.7%), conic teeth (8.3%) and impacted teeth (5.9%). In conclusion, patients with Down syndrome presented a high incidence of dental anomalies and, in most cases, the same individual presented more than one dental anomaly.

O direito de pertencer a si mesmo: a despatologização do transexualismo e sua regulamentação jurídica como direito fundamental ao gênero

Pós-graduação em Direito - FCHS

Prodrugs for the treatment of neglected diseases

Recently, World Health Organization ( WHO) and Medicins San Frontieres (MSF) proposed a classification of diseases as global, neglected and extremely neglected. Global diseases, such as cancer, cardiovascular and mental (CNS) diseases represent the targets of the majority of the R&D efforts of pharmaceutical companies. Neglected diseases affect millions of people in the world yet existing drug therapy is limited and often inappropriate. Furthermore, extremely neglected diseases affect people living under miserable conditions who barely have access to the bare necessities for survival. Most of these diseases are excluded from the goals of the R&D programs in the pharmaceutical industry and therefore fall outside the pharmaceutical market. About 14 million people, mainly in developing countries, die each year from infectious diseases. From 1975 to 1999, 1393 new drugs were approved yet only 1% were for the treatment of neglected diseases [ 3]. These numbers have not changed until now, so in those countries there is an urgent need for the design and synthesis of new drugs and in this area the prodrug approach is a very interesting field. It provides, among other effects, activity improvements and toxicity decreases for current and new drugs, improving market availability. It is worth noting that it is essential in drug design to save time and money, and prodrug approaches can be considered of high interest in this respect. The present review covers 20 years of research on the design of prodrugs for the treatment of neglected and extremely neglected diseases such as Chagas' disease ( American trypanosomiasis), sleeping sickness ( African trypanosomiasis), malaria, sickle cell disease, tuberculosis, leishmaniasis and schistosomiasis.

Classification of petroleum well drilling operations using Support Vector Machine (SVM)

During the petroleum well drilling operation many mechanical and hydraulic parameters are monitored by an instrumentation system installed in the rig called a mud-logging system. These sensors, distributed in the rig, monitor different operation parameters such as weight on the hook and drillstring rotation. These measurements are known as mud-logging records and allow the online following of all the drilling process with well monitoring purposes. However, in most of the cases, these data are stored without taking advantage of all their potential. On the other hand, to make use of the mud-logging data, an analysis and interpretationt is required. That is not an easy task because of the large volume of information involved. This paper presents a Support Vector Machine (SVM) used to automatically classify the drilling operation stages through the analysis of some mud-logging parameters. In order to validate the results of SVM technique, it was compared to a classification elaborated by a Petroleum Engineering expert. © 2006 IEEE.

Automatic classification of fish germ cells through optimum-path forest

The spermatogenesis is crucial to the species reproduction, and its monitoring may shed light over some important information of such process. Thus, the germ cells quantification can provide useful tools to improve the reproduction cycle. In this paper, we present the first work that address this problem in fishes with machine learning techniques. We show here how to obtain high recognition accuracies in order to identify fish germ cells with several state-of-the-art supervised pattern recognition techniques. © 2011 IEEE.

Classification of crucifer cultivars based on the life-history of diamondback moth (Plutella xylostella)

We compared different cultivars and hybrids of crucifers in relation to development and life-history of diamondback moth (Plutella xylostella) to classify the plants according to their resistance to the pest. The plants used were Manteiga da Geórgia kale, Bola de Neve cauliflower, Ramoso Piracicaba Precoce broccoli, Chato-de-quintal cabbage, and the hybrid cabbages Midori, TPC668, TPC308, and TPC681. We evaluated performance daily until the pupal stage. Pupae were assessed individually to determine the pupal weight, performance, and pupal period. We determined the sex ratio, fecundity, fertility, and longevity of the emerged adults and calculated their reproductive potential. Cabbage hybrids TPC668, TPC308, and TPC681 do not support the development and reproduction of the diamondback moth. These hybrids show a level of resistance that is similar to that found the commercially available hybrid Midori and cultivar Chato de Quintal, which are known to be resistant to the diamondback moth. This finding implies that the capitata (cabbage) cultivars are the most suitable for planting because they are more resistant to pest than the cultivar's moth, acephala (kale). © 2013 Copyright Taylor and Francis Group, LLC.

Classification of masses in mammographic image using wavelet domain features and polynomial classifier

Breast cancer is the most common cancer among women. In CAD systems, several studies have investigated the use of wavelet transform as a multiresolution analysis tool for texture analysis and could be interpreted as inputs to a classifier. In classification, polynomial classifier has been used due to the advantages of providing only one model for optimal separation of classes and to consider this as the solution of the problem. In this paper, a system is proposed for texture analysis and classification of lesions in mammographic images. Multiresolution analysis features were extracted from the region of interest of a given image. These features were computed based on three different wavelet functions, Daubechies 8, Symlet 8 and bi-orthogonal 3.7. For classification, we used the polynomial classification algorithm to define the mammogram images as normal or abnormal. We also made a comparison with other artificial intelligence algorithms (Decision Tree, SVM, K-NN). A Receiver Operating Characteristics (ROC) curve is used to evaluate the performance of the proposed system. Our system is evaluated using 360 digitized mammograms from DDSM database and the result shows that the algorithm has an area under the ROC curve Az of 0.98 ± 0.03. The performance of the polynomial classifier has proved to be better in comparison to other classification algorithms. © 2013 Elsevier Ltd. All rights reserved.