A relevância dos exercícios físicos para indivíduos de 30 a 50 anos de ambos os sexos portadores da Síndrome da Imunodeficiência Adquirida (HIV/AIDS) com Lipodistrofia causada pelo uso de anti-retrovirais

Introdução: Neste estudo será apresentado experimento sobre um programa de atividades físicas para diminuir os efeitos metabólicos da lipodistrofia, causada pela prescrição dos anti-retrovirais, medicamentos utilizados por portadores pelo vírus HIV\AIDIS. Objetivo: Investigar os benefícios dos exercícios físicos para indivíduos portadores do HIV\AIDS e combatendo doenças causadas pela lipodistrofia proveniente da terapia com anti-retrovirais. Metodologia: Foram 40 sujeitos divididos em grupo de exercício e grupo de controle. Os sujeitos participaram de palestra, exames e testes, tendo o grupo de exercício participado num programa de exército com duração de 24 semanas. As variáveis estudadas foram composição corporal, parâmetros bioquímicos e hemodinâmicos, e aptidão física e o questionário CEAT-VIH, versão em português do Brasil. Resultados: O programa de exercício apresentado foi positivo na composição corporal, parâmetros bioquímicos e hemodinâmicos e no questionário, CEAT-VIH, versão em português do Brasil. Na aptidão física o programa de exercício não obteve a resposta que esperávamos. Conclusão: O programa de exercício aplicado permitiu obter uma redução na massa corporal, IMC, glicose e colesterol, e melhoria ao nível da flexibilidade. Permitiu igualmente aumentar o cumprimento do seguimento da farmacologia prescrita pelos médicos; The Relevance of Physical Exercises for Individuals 30 to 50 years of Both Sexes Bearers of Acquired Immunodeficiency Syndrome (HIV \ AIDS) with Lipodystrophy Caused by the use of Anti-Retroviral. Summary: Introduction: In this study will be presented experiment on a physical activity program to decrease the metabolic effects of lipodystrophy, caused by the prescription of anti-retroviral drugs used by patients with HIV \ AIDIS. Objective: To investigate the benefits of exercise for people living with HIV subjects \ AIDS and combating diseases caused by lipodystrophy from therapy with antiretrovirals. Methods: 40 subjects were divided into exercise group and control group. The subjects participated in lecture, exams and tests, and the exercise group participated in an army program of 24 weeks duration. The variables studied were body composition, biochemical and hemodynamic parameters, and physical fitness and the CEAT-HIV questionnaire, version in Portuguese of Brazil. Results: The submitted exercise program was positive in body composition, biochemical and hemodynamic parameters and questionnaire, CEAT-HIV, version in Portuguese of Brazil. Physical fitness exercise program did not get the answer we expected. Conclusion: The applied exercise program yielded a reduction in body weight, body mass index, glucose and cholesterol, and improved level of flexibility. It has also increase compliance of following the prescribed pharmacology by doctors.

An Integrated Soft Computing Approach to Hughes Syndrome Risk Assessment

The AntiPhospholipid Syndrome (APS) is an acquired autoimmune disorder induced by high levels of antiphospholipid antibodies that cause arterial and veins thrombosis, as well as pregnancy-related complications and morbidity, as clinical manifestations. This autoimmune hypercoagulable state, usually known as Hughes syndrome, has severe consequences for the patients, being one of the main causes of thrombotic disorders and death. Therefore, it is required to be preventive; being aware of how probable is to have that kind of syndrome. Despite the updated of antiphospholipid syndrome classification, the diagnosis remains difficult to establish. Additional research on clinically relevant antibodies and standardization of their quantification are required in order to improve the antiphospholipid syndrome risk assessment. Thus, this work will focus on the development of a diagnosis decision support system in terms of a formal agenda built on a Logic Programming approach to knowledge representation and reasoning, complemented with a computational framework based on Artificial Neural Networks. The proposed model allows for improving the diagnosis, classifying properly the patients that really presented this pathology (sensitivity higher than 85%), as well as classifying the absence of APS (specificity close to 95%).