多种疾病患病率估计值的变化:193 项国际研究的系统评价和荟萃分析。

Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies.

机构信息

Usher Institute, Medical School, The University of Edinburgh, Edinburgh, Scotland, UK

School of Medicine, University of St Andrews, St Andrews, Scotland, UK.

出版信息

BMJ Open. 2022 Apr 29;12(4):e057017. doi: 10.1136/bmjopen-2021-057017.

Abstract

OBJECTIVE

(1) To estimate the pooled prevalence of multimorbidity in all age groups, globally. (2) To examine how measurement of multimorbidity impacted the estimated prevalence.

METHODS

In this systematic review and meta-analysis, we conducted searches in nine bibliographic databases (PsycINFO, Embase, Global Health, Medline, Scopus, Web of Science, Cochrane Library, CINAHL and ProQuest Dissertations and Theses Global) for prevalence studies published between database inception and 21 January 2020. Studies reporting the prevalence of multimorbidity (in all age groups and in community, primary care, care home and hospital settings) were included. Studies with an index condition or those that did not include people with no long-term conditions in the denominator were excluded. Retrieved studies were independently reviewed by two reviewers, and relevant data were extracted using predesigned pro forma. We used meta-analysis to pool the estimated prevalence of multimorbidity across studies, and used random-effects meta-regression and subgroup analysis to examine the association of heterogeneous prevalence estimates with study and measure characteristics.

RESULTS

13 807 titles were screened, of which 193 met inclusion criteria for meta-analysis. The pooled prevalence of multimorbidity was 42.4% (95% CI 38.9% to 46.0%) with high heterogeneity (I >99%). In adjusted meta-regression models, participant mean age and the number of conditions included in a measure accounted for 47.8% of heterogeneity in effect sizes. The estimated prevalence of multimorbidity was significantly higher in studies with older adults and those that included larger numbers of conditions. There was no significant difference in estimated prevalence between low-income or middle-income countries (36.8%) and high-income countries (44.3%), or between self-report (40.0%) and administrative/clinical databases (52.7%).

CONCLUSIONS

The pooled prevalence of multimorbidity was significantly higher in older populations and when studies included a larger number of baseline conditions. The findings suggest that, to improve study comparability and quality of reporting, future studies should use a common core conditions set for multimorbidity measurement and report multimorbidity prevalence stratified by sociodemographics.CRD42020172409.

摘要

目的

(1) 估计全球所有年龄段人群的多种疾病患病率。(2) 研究多种疾病的测量方法对估计患病率的影响。

方法

本系统评价和荟萃分析在九个文献数据库(PsycINFO、Embase、全球健康、Medline、Scopus、Web of Science、Cochrane 图书馆、CINAHL 和 ProQuest Dissertations and Theses Global)中进行了搜索,检索了自数据库创建以来至 2020 年 1 月 21 日发表的患病率研究。纳入报告多种疾病(所有年龄段、社区、初级保健、护理院和医院环境)患病率的研究。排除有索引疾病或未将无长期疾病的人纳入分母的研究。由两名评审员独立审查检索到的研究,并使用预设计的表格提取相关数据。我们使用荟萃分析汇总研究间多种疾病的估计患病率,并使用随机效应荟萃回归和亚组分析研究和测量特征与异质性患病率估计值的相关性。

结果

筛选出 13807 篇标题,其中 193 篇符合荟萃分析的纳入标准。多种疾病的总体患病率为 42.4%(95%CI 38.9%至 46.0%),异质性很高(I >99%)。在调整后的荟萃回归模型中,参与者的平均年龄和测量中包含的疾病数量占效应大小异质性的 47.8%。在纳入老年人的研究和纳入更多疾病的研究中,多种疾病的估计患病率显著更高。在低收入或中等收入国家(36.8%)和高收入国家(44.3%)之间,以及在自我报告(40.0%)和行政/临床数据库(52.7%)之间,估计的患病率没有显著差异。

结论

在老年人群和纳入更多基线疾病的研究中,多种疾病的总体患病率显著更高。这些发现表明,为了提高研究可比性和报告质量,未来的研究应使用多种疾病测量的通用核心疾病集,并按社会人口统计学因素分层报告多种疾病的患病率。CRD42020172409。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38d4/9058768/15e7499bb230/bmjopen-2021-057017f01.jpg

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