RESUMO
BACKGROUND AND PURPOSE: There are few population-based surveys on multiple sclerosis (MS) survival. To investigate MS survival in MS patients recruited during surveys conducted in Sicily. METHODS: Multiple sclerosis patients identified during previous surveys were randomly matched to two referent subjects by residence, year of birth, and gender. Living status was obtained by municipality records (end of follow-up June, 30th 2007) and, for the deceased, date and causes of death were searched. Kaplan-Meier plots were used to calculate differences in mortality between MS patients and referent subjects. MS risks for mortality with 95% confidence intervals (CI) were also calculated. RESULTS: We included 194 MS patients and 388 matched persons. Thirty MS patients (15.5%) and 28 referents (7.2%) had died until the end of follow-up. Mean survival from onset of the disease to death was 20.6 years. Mean age at death was 55.5 for MS patients and 64.8 for the referents. Adjusted Hazard Ratios for mortality in MS was 1.81 (95% CI 1.36-2.40). Kaplan-Meier estimates showed a higher mortality amongst patients compared to referent subjects (P < 0.001). CONCLUSIONS: The present study confirms the higher mortality risk in MS patients with no significant gender difference. Causes of death are related to complications of high disability and to increasing age.
Assuntos
Esclerose Múltipla/mortalidade , Adulto , Fatores Etários , Idade de Início , Estudos de Casos e Controles , Causas de Morte , Estudos de Coortes , Feminino , Seguimentos , Humanos , Estimativa de Kaplan-Meier , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Modelos de Riscos Proporcionais , Fatores Sexuais , Sicília/epidemiologia , Fatores de TempoRESUMO
BACKGROUND AND PURPOSE: Previous studies on the association between Parkinson's disease (PD) and body mass index (BMI) have reported conflicting results. We investigated the relationship between PD and BMI by a case-control study. METHODS: PD patients were randomly matched to healthy individuals by sex and age. BMI distribution in cases has been compared with BMI of controls and odd ratios (ORs) with 95% CI were calculated. RESULTS: We included 318 PD patients and 318 controls. We observed no association between PD and BMI. BMI distribution in cases and controls was similar also when we adjusted for diabetes, hypercholesterolemia and the time elapsed between PD onset and the interview (OR = 0.99; CI = 0.94-1.03; P = 0.51). CONCLUSIONS: These results did not confirm the previously reported association between PD and BMI. Population characteristics and methodological issues may partially account for the differences observed between the present study and the others.
