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全球肌少症和重度肌少症的患病率:系统评价和荟萃分析。

Global prevalence of sarcopenia and severe sarcopenia: a systematic review and meta-analysis.

机构信息

Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.

British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.

出版信息

J Cachexia Sarcopenia Muscle. 2022 Feb;13(1):86-99. doi: 10.1002/jcsm.12783. Epub 2021 Nov 23.

Abstract

BACKGROUND

Sarcopenia is defined as the loss of muscle mass and strength. Despite the seriousness of this disease, a single diagnostic criterion has not yet been established. Few studies have reported the prevalence of sarcopenia globally, and there is a high level of heterogeneity between studies, stemmed from the diagnostic criteria of sarcopenia and the target population. The aims of this systematic review and meta-analysis were (i) to identify and summarize the diagnostic criteria used to define sarcopenia and severe sarcopenia and (ii) to estimate the global and region-specific prevalence of sarcopenia and severe sarcopenia by sociodemographic factors.

METHODS

Embase, MEDLINE, and Web of Science Core Collections were searched using relevant MeSH terms. The inclusion criteria were cross-sectional or cohort studies in individuals aged ≥18 years, published in English, and with muscle mass measured using dual-energy x-ray absorptiometry, bioelectrical impedance, or computed tomography (CT) scan. For the meta-analysis, studies were stratified by diagnostic criteria (classifications), cut-off points, and instruments to assess muscle mass. If at least three studies reported the same classification, cut-off points, and instrument to measure muscle mass, they were considered suitable for meta-analysis. Following this approach, 6 classifications and 23 subgroups were created. Overall pooled estimates with inverse-variance weights obtained from a random-effects model were estimated using the metaprop command in Stata.

RESULTS

Out of 19 320 studies, 263 were eligible for the narrative synthesis and 151 for meta-analysis (total n = 692 056, mean age: 68.5 years). Using different classifications and cut-off points, the prevalence of sarcopenia varied between 10% and 27% in the studies included for meta-analysis. The highest and lowest prevalence were observed in Oceania and Europe using the European Working Group on Sarcopenia in Older People (EWGSOP) and EWGSOP2, respectively. The prevalence ranged from 8% to 36% in individuals <60 years and from 10% to 27% in ≥60 years. Men had a higher prevalence of sarcopenia using the EWGSOP2 (11% vs. 2%) while it was higher in women using the International Working Group on Sarcopenia (17% vs. 12%). Finally, the prevalence of severe sarcopenia ranged from 2% to 9%.

CONCLUSIONS

The prevalence of sarcopenia and severe sarcopenia varied considerably according to the classification and cut-off point used. Considering the lack of a single diagnostic for sarcopenia, future studies should adhere to current guidelines, which would facilitate the comparison of results between studies and populations across the globe.

摘要

背景

肌少症是指肌肉质量和力量的丧失。尽管这种疾病很严重,但尚未确立单一的诊断标准。很少有研究报告全球肌少症的患病率,并且研究之间存在很大的异质性,这源于肌少症的诊断标准和目标人群。本系统评价和荟萃分析的目的是:(i)确定和总结用于定义肌少症和严重肌少症的诊断标准;(ii)根据社会人口因素估计肌少症和严重肌少症的全球和特定区域患病率。

方法

使用相关 MeSH 术语在 Embase、MEDLINE 和 Web of Science 核心合集数据库中进行搜索。纳入标准为年龄≥18 岁的个体的横断面或队列研究,以英文发表,使用双能 X 射线吸收法、生物电阻抗或计算机断层扫描(CT)扫描测量肌肉质量。对于荟萃分析,根据诊断标准(分类)、截断值和评估肌肉质量的仪器对研究进行分层。如果至少有三项研究报告了相同的分类、截断值和测量肌肉质量的仪器,则认为它们适合荟萃分析。按照这种方法,创建了 6 种分类和 23 个亚组。使用 Stata 中的 metaprop 命令,以逆方差权重从随机效应模型中获得总体汇总估计值。

结果

在 19320 项研究中,263 项适合进行叙述性综述,151 项适合进行荟萃分析(总计 692056 人,平均年龄:68.5 岁)。使用不同的分类和截断值,纳入荟萃分析的研究中肌少症的患病率在 10%至 27%之间变化。使用欧洲老年人肌少症工作组(EWGSOP)和 EWGSOP2 的患病率最高和最低,分别在大洋洲和欧洲。<60 岁的个体中患病率为 8%至 36%,≥60 岁的个体中患病率为 10%至 27%。使用 EWGSOP2 时,男性肌少症的患病率更高(11%比 2%),而使用国际肌少症工作组(IWG)时,女性的患病率更高(17%比 12%)。最后,严重肌少症的患病率在 2%至 9%之间。

结论

根据使用的分类和截断值,肌少症和严重肌少症的患病率差异很大。鉴于肌少症缺乏单一的诊断标准,未来的研究应遵循当前的指南,这将有助于在全球范围内比较研究和人群之间的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/195a/8818604/e64c70b1870b/JCSM-13-86-g005.jpg

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