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探索印度医疗机构中成年人的衰弱患病率:一项系统评价与荟萃分析。

Exploring frailty prevalence among adults in Indian healthcare settings: A systematic review and meta-analysis.

作者信息

Debnath Aninda, Gupta Sunanda, Yadav Ankit, Charag Shweta, Mondal Anubhav, Kishore Jugal

机构信息

Department of Community Medicine, VMMC and Safdarjung Hospital, New Delhi, India.

出版信息

J Family Med Prim Care. 2024 Nov;13(11):4759-4774. doi: 10.4103/jfmpc.jfmpc_484_24. Epub 2024 Nov 18.

DOI:10.4103/jfmpc.jfmpc_484_24
PMID:39722914
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11668389/
Abstract

Frailty is an age-associated state of increased vulnerability due to declines in physiologic systems, leading to compromised ability to withstand stressors. Given India's rapidly aging population, our study aims to estimate the pooled prevalence of frailty and its associated factors in hospital settings. An extensive search was conducted across four databases, up to January 2024. A random-effects model was utilized. To quantify heterogeneity, the I² statistic, prediction interval, and the Chi-square-based Q test were employed. Outliers were identified using a Baujat plot and influence analysis. Doi plot, luis furuya kanamori (LFK) index and funnel plot were used to assess publication bias. The current meta-analysis determined a pooled frailty prevalence of 42.3% (95%CI: 34.8%-50.1%) and prefrailty prevalence of 39.8% (95%CI: 30.4%-49.8%), both exhibiting high heterogeneity (I² values of 96.9% and 95.3%, respectively). A high degree of variability was indicated by a prediction interval ranging from 9% to 76%, while Egger's test suggested no evidence of publication bias. Our systematic review and meta-analysis, encompassing 6,856 individuals, revealed a considerable prevalence of frailty at 42.3%, underscoring its ubiquity across health spectra and demographics in India.

摘要

衰弱是一种与年龄相关的脆弱状态,由于生理系统功能下降,导致承受压力源的能力受损。鉴于印度人口迅速老龄化,我们的研究旨在估计医院环境中衰弱及其相关因素的合并患病率。截至2024年1月,我们在四个数据库中进行了广泛检索。采用随机效应模型。为了量化异质性,使用了I²统计量、预测区间和基于卡方的Q检验。使用Baujat图和影响分析来识别异常值。使用Doi图、Luis Furuya Kanamori(LFK)指数和漏斗图来评估发表偏倚。当前的荟萃分析确定合并衰弱患病率为42.3%(95%CI:34.8%-50.1%),合并衰弱前期患病率为39.8%(95%CI:30.4%-49.8%),两者均表现出高度异质性(I²值分别为96.9%和95.3%)。预测区间为9%至76%,表明存在高度变异性,而Egger检验表明没有发表偏倚的证据。我们的系统评价和荟萃分析涵盖了6856名个体,显示衰弱患病率相当高,为42.3%,突出了其在印度不同健康状况和人口统计学中的普遍性。

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