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Background: Hospital administrative data have been suggested as a valuable cost-effective tool for providing information about the stroke burden. Nevertheless, the choice of the diagnosis codes has been a critical issue in the development of case ascertainment algorithms. Methods: In this study, the Minimum Basic Data Set administrative database was used to analyze the accuracy of different ICD-9-CM algorithms based on the neurologist's clinical judgement as the ‘gold standard'. Results: The most accurate algorithm observed in our study involved the selection of ICD-9-CM codes 430-438 in the primary diagnosis. It yielded a sensitivity of 96.1%, a specificity of 87.5% and a positive predictive value of 82.5%. Conclusions: The Minimum Basic Data Set is a valuable source to evaluate stroke frequency when using an accurate algorithm to select events.

Background Skeletal muscle loss has been associated with declining physical performance and a negative prognostic effect on falls, disability, and mortality risk in Parkinson's disease. Objectives We aimed to analyze the clinical correlates associated with skeletal muscle wasting in Parkinson's disease. Methods This was a cross‐sectional, case–control, observational study. We collected information on dietary intake with a 24‐hour recall questionnaire, body composition with bioelectrical impedance, motor severity with the Unified Parkinson's disease Rating Scale, and physical activity with the Global Physical Activity Questionnaire. We used multivariate linear regression analysis to analyze the sociodemographic and clinical correlates associated with skeletal muscle loss after adjusting for confounding variables. Results Forty‐three patients with Parkinson's disease and 21 matched family members were included. Patients and family members had similar body composition, anthropometrics, and nutritional parameters. Advanced patients had similar nutrient intakes compared to patients with mild‐to‐moderate Parkinson's disease. In the multivariate linear regression analysis, female patients with low physical activity and low energy intake were more likely to have skeletal muscle loss. Conclusions Skeletal muscle wasting is a complex multifactorial problem. Dietary strategies and physical exercise should be recommended, especially to females with Parkinson's disease, to prevent significant skeletal muscle wasting.

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