医学
肌萎缩
冲程(发动机)
生物电阻抗分析
优势比
置信区间
内科学
逻辑回归
体质指数
前瞻性队列研究
队列研究
物理疗法
队列
机械工程
工程类
作者
Rio Ikeji,Masafumi Nozoe,Miho Yamamoto,Haruka Seike,Hiroki Kubo,Shinichi Shimada
标识
DOI:10.1016/j.clineuro.2023.107910
摘要
This study aimed to investigate the prevalence and associated factors of sarcopenia in patients following stroke during acute hospitalisation.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.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.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.
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