Sarcopenia in older people with chronic airway diseases: the Rotterdam study

慢性气道疾病老年人的肌肉减少症:鹿特丹研究

阅读:1

Abstract

Sarcopenia is a heterogeneous skeletal muscle disorder involving the loss of muscle mass and function. However, the prevalence of sarcopenia based on the most recent definition remains to be determined in older people with chronic airway diseases. The aim was to evaluate sarcopenia prevalence and association with chronic airway diseases and its lung function in an older population, using the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. We performed a cross-sectional analysis in 5082 participants (mean age 69.0±8.8 years, 56% females) from the Rotterdam Study. Participants with interpretable spirometry and an available assessment of sarcopenia were included. The appendicular skeletal muscle mass index (ASMI) and handgrip strength (HGS) were assessed using dual-energy X-ray absorptiometry (DXA) and a hydraulic hand dynamometer, respectively. We analysed the association between sarcopenia and chronic airway diseases by using regression models adjusted for age, sex, smoking status, total fat percentage and other relevant confounders. Participants with chronic airway diseases had higher prevalence of probable sarcopenia (12.0%, 95% CI 10.2-13.8) and confirmed sarcopenia (3.0%, 95% CI 2.1-3.9) than without. Chronic airway diseases were associated with "probable sarcopenia" (OR 1.28, 95% CI 1.02-1.60), "confirmed sarcopenia" (OR 2.13, 95% CI 1.33-3.43), reduced HGS (β -0.51 (-0.90--0.11)) and reduced ASMI (β -0.19 (-0.25--0.14)). Forced expiratory volume in 1 s <80% was associated with lower HGS (β -1.03 (-1.75--0.31)) and lower ASMI (β -0.25 (-0.36--0.15)) than forced expiratory volume in 1 s ≥80%. Sarcopenia was prevalent and associated with chronic airway diseases among older population. These results suggest the need for early diagnosis of sarcopenia in older people with chronic airway diseases by applying EWGSOP2 recommendations.

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。