Sarcopenia in patients following stroke: Prevalence and associated factors

Abstract

Background: This study aimed to investigate the prevalence and associated factors of sarcopenia in patients following stroke during acute hospitalisation.

Methods: This single-centre prospective observational cohort study assessed skeletal muscle mass using bioelectrical impedance analysis and muscle strength of patients with acute stroke at hospital discharge. Sarcopenia was diagnosed according to the AWGS-2019 criteria. Multiple logistic regression analyses were performed to identify associated factors of post stroke sarcopenia.

Results: A total of 286 participants (32% female; median age, 72 years) were included in this study. The prevalence of post-stroke sarcopenia was 32.5% (n = 93). In multiple logistic regression analysis, age (adjusted odds ratio [aOR]: 1.10; 95% confidence interval [CI]: 1.05-1.05), National Institute of Health Stroke Scale (aOR: 1.15; 95% CI: 1.04-1.27), body mass index (BMI) (aOR: 0.73; 95% CI: 0.64-0.84) and Functional Oral Intake Scale (aOR: 0.67; 95% CI: 0.51-0.89) were independently associated with post-stroke sarcopenia during acute hospitalisation.

Conclusion: Approximately one-third of acute stroke patients were diagnosed with sarcopenia at hospital discharge, and older age, severe stroke, low BMI, and poor swallowing function are associated with sarcopenia following stroke during acute hospitalisation.

Keywords: Acute hospitalisation; Predictor; Sarcopenia; Skeletal muscle mass; Stroke.