Muscle weakness is more strongly associated with functional outcomes in patients with stroke than sarcopenia or muscle wasting: an observational study

一项观察性研究表明,与肌少症或肌肉萎缩相比,肌无力与卒中患者的功能预后相关性更强。

阅读:1

Abstract

BACKGROUND: Stroke-related sarcopenia is an important prognosis factor and an intervention target for improving outcomes in patients with stroke. AIM: This study aimed to identify the association between sarcopenia, possible sarcopenia, muscle weakness, muscle mass and calf circumference, and the functional outcomes 3 months after stroke. METHODS: In this single-centre prospective observational study, muscle strength, muscle mass, and calf circumference were measured in patients with acute stroke at hospital discharge. Diagnosis of sarcopenia, possible sarcopenia, muscle weakness, low muscle mass, and low calf circumference were defined according to the 2019 Asian Working Group for Sarcopenia criteria. The primary outcome measure was the modified Rankin Scale (mRS) score at 3 months, with an mRS score of 3 or higher indicating a poor outcome. Logistic regression analysis was conducted to examine independent associations between each assessment and functional outcomes. RESULTS: A total of 247 patients (median age: 73 years) were included in this study. The prevalence of sarcopenia was 28% (n = 70), and in the adjusted model, sarcopenia (aOR = 2.60, 95% CI 1.07-6.31, p = 0.034), muscle weakness (aOR = 3.40, 95% CI 1.36-8.52, p = 0.009), and low muscle mass (aOR = 2.61, 95% CI 1.04-6.52) were significantly associated with poor functional outcome. Nevertheless, other evaluations did not demonstrate an independent association with the outcome. CONCLUSION: Sarcopenia, muscle weakness, and low muscle mass were found to be independently associated with functional outcomes 3 months after stroke, and muscle weakness exhibited the strongest association with outcomes among them.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。