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1.
Acta Neurol Scand ; 120(3): 191-7, 2009 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-19133864

RESUMO

OBJECTIVES: To describe the clinical and epidemiological aspects of post-polio syndrome (PPS) and identify predictors of its severity. MATERIALS AND METHODS: 132 patients with PPS were selected at the Neuromuscular Disease Outpatient Clinic of the Federal University of São Paulo. Descriptive analysis was carried out and predictors of PPS severe forms were investigated using an unconditional logistic regression. RESULTS: The average age at onset was 39.4 years. The most common symptoms were fatigue (87.1%), muscle pain (82.4%) and joint pain (72.0%); 50.4% of the cases were severe. The following were associated with PPS severity: a < or =4-year period of neurological recovery (OR 2.8), permanent damage in two limbs (OR 3.6) and residence at the time of acute polio in a city with more advanced medical assistance (OR 2.5). CONCLUSIONS: Health professionals should carefully evaluate polio survivors for PPS and be aware of the implications of muscle overuse in the neurological recovery period.


Assuntos
Síndrome Pós-Poliomielite/diagnóstico , Síndrome Pós-Poliomielite/epidemiologia , Adulto , Idade de Início , Brasil/epidemiologia , Creatina Quinase/sangue , Avaliação da Deficiência , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Síndrome Pós-Poliomielite/sangue , Prognóstico , Análise de Regressão , Fatores de Risco , Índice de Gravidade de Doença
2.
Ann Nutr Metab ; 53(3-4): 199-204, 2008.
Artigo em Inglês | MEDLINE | ID: mdl-19039212

RESUMO

The aim of this study was to compare basal metabolic rate (BMR) of post-polio syndrome (PPS) patients with healthy individuals and to determine its correlation to body composition. BMR (kcal/day) was determined by indirect calorimetry and body composition by dual energy X-ray absorptiometry. BMR was lower in the PPS patient group than in the control group, although it was similar in both groups when adjusted for body surface area, total body mass (TBM), lean body mass (LBM) and fat-free mass (FFM). PPS patients also showed reduced TBM, LBM and FFM in relation to controls. As muscle energy expenditure while at rest contributes only 20% to the BMR, a proportional reduction in BMR and FFM or LBM could suggest that muscle mass or other factors may interfere more than predicted. It was concluded that the prediction of BMR from the Harris-Benedict equation in PPS patients must be carefully reviewed.


Assuntos
Metabolismo Basal/fisiologia , Composição Corporal/fisiologia , Síndrome Pós-Poliomielite/metabolismo , Síndrome Pós-Poliomielite/fisiopatologia , Absorciometria de Fóton/métodos , Adulto , Índice de Massa Corporal , Calorimetria Indireta/métodos , Estudos de Casos e Controles , Humanos , Masculino , Matemática , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Sensibilidade e Especificidade
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