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在城市环境中识别多重疾病的纵向聚类:一项基于人群的横断面研究。

Identifying longitudinal clusters of multimorbidity in an urban setting: A population-based cross-sectional study.

作者信息

Bisquera Alessandra, Gulliford Martin, Dodhia Hiten, Ledwaba-Chapman Lesedi, Durbaba Stevo, Soley-Bori Marina, Fox-Rushby Julia, Ashworth Mark, Wang Yanzhong

机构信息

School of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.

出版信息

Lancet Reg Health Eur. 2021 Mar 2;3:100047. doi: 10.1016/j.lanepe.2021.100047. eCollection 2021 Apr.

DOI:10.1016/j.lanepe.2021.100047
PMID:34557797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8454750/
Abstract

BACKGROUND

Globally, there is increasing research on clusters of multimorbidity, but few studies have investigated multimorbidity in urban contexts characterised by a young, multi-ethnic, deprived populations. This study identified clusters of associative multimorbidity in an urban setting.

METHODS

This is a population-based retrospective cross-sectional study using electronic health records of all adults aged 18 years and over, registered between April 2005 to May 2020 in general practices in one inner London borough. Multiple correspondence analysis and cluster analysis was used to identify groups of multimorbidity from 32 long-term conditions (LTCs).

RESULTS

The population included 41 general practices with 826,936 patients registered between 2005 and 2020, with mean age 40 (SD15·6) years. The prevalence of multimorbidity was 21% ( = 174,881), with the median number of conditions being three and increasing with age. Analysis identified five consistent LTC clusters: 1) anxiety and depression (Ratio of within- to between- sum of squares (WSS/BSS <0·01 to <0·01); 2) heart failure, atrial fibrillation, chronic kidney disease (CKD), chronic heart disease (CHD), stroke/transient ischaemic attack (TIA), peripheral arterial disease (PAD), dementia and osteoporosis (WSS/BSS 0·09 to 0·12); 3) osteoarthritis, cancer, chronic pain, hypertension and diabetes (0·05 to 0·06); 4) chronic liver disease and viral hepatitis (WSS/BSS 0·02 to 0·03); 5) substance dependency, alcohol dependency and HIV (WSS/BSS 0·37 to 0·55).

INTERPRETATION

Mental health problems, pain, and at-risk behaviours leading to cardiovascular diseases are the important clusters identified in this young, urban population.

FUNDING

Impact on Urban Health, United Kingdom.

摘要

背景

在全球范围内,关于多种疾病并存的研究越来越多,但很少有研究在以年轻、多民族、贫困人群为特征的城市环境中调查多种疾病并存的情况。本研究在城市环境中识别出了关联性多种疾病并存的集群。

方法

这是一项基于人群的回顾性横断面研究,使用了2005年4月至2020年5月在伦敦市中心一个行政区的全科诊所登记的所有18岁及以上成年人的电子健康记录。采用多重对应分析和聚类分析从32种长期疾病(LTCs)中识别出多种疾病并存的组。

结果

该人群包括41家全科诊所,2005年至2020年期间登记了826,936名患者,平均年龄40岁(标准差15.6)。多种疾病并存的患病率为21%(n = 174,881),疾病数量中位数为3种,且随年龄增长而增加。分析确定了五个一致的长期疾病集群:1)焦虑和抑郁(组内与组间平方和之比(WSS/BSS)<0.01至<0.01);2)心力衰竭、心房颤动、慢性肾病(CKD)、慢性心脏病(CHD)、中风/短暂性脑缺血发作(TIA)、外周动脉疾病(PAD)、痴呆和骨质疏松症(WSS/BSS 0.09至0.12);3)骨关节炎、癌症、慢性疼痛、高血压和糖尿病(0.05至0.06);4)慢性肝病和病毒性肝炎(WSS/BSS 0.02至0.03);5)物质依赖、酒精依赖和艾滋病毒(WSS/BSS 0.37至0.55)。

解读

心理健康问题、疼痛以及导致心血管疾病的高危行为是在这个年轻的城市人群中识别出的重要集群。

资助

英国城市健康影响项目。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2370/8454750/262ac8a244cf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2370/8454750/2a2b450054c9/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2370/8454750/159af07e9e87/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2370/8454750/262ac8a244cf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2370/8454750/2a2b450054c9/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2370/8454750/159af07e9e87/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2370/8454750/262ac8a244cf/gr3.jpg

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Lancet. 2020 Oct 17;396(10258):1204-1222. doi: 10.1016/S0140-6736(20)30925-9.
2
Twelve-year clinical trajectories of multimorbidity in a population of older adults.十二年来老年人多病共存的临床轨迹。
Nat Commun. 2020 Jun 26;11(1):3223. doi: 10.1038/s41467-020-16780-x.
3
Urban-rural and socioeconomic status: Impact on multimorbidity prevalence in hospitalized patients.
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Rev Bras Epidemiol. 2025 Jul 4;28:e250036. doi: 10.1590/1980-549720250036. eCollection 2025.
4
Individual-level transitions between chronic disease multimorbidity clusters and the risk of five-year mortality in longitudinal cohort of Chinese middle-aged and older adults.中国中老年成年人纵向队列中慢性病共病簇之间的个体水平转变及五年死亡风险
Aging Clin Exp Res. 2025 Jul 9;37(1):216. doi: 10.1007/s40520-025-03078-5.
5
Temporal multimorbidity patterns and cluster identification: a longitudinal analysis of administrative data.时间性多重疾病模式与聚类识别:行政数据的纵向分析
BMC Med. 2025 Jul 1;23(1):370. doi: 10.1186/s12916-025-04184-x.
6
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Commun Med (Lond). 2025 May 13;5(1):156. doi: 10.1038/s43856-025-00825-7.
7
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PLoS One. 2025 Apr 28;20(4):e0322042. doi: 10.1371/journal.pone.0322042. eCollection 2025.
8
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5
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6
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8
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9
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Mayo Clin Proc. 2018 Jul;93(7):857-866. doi: 10.1016/j.mayocp.2018.02.012. Epub 2018 May 22.