Evidence map›Paper›PMID 39988343›Full record

ArticleOpen heart2025

Association of single and multiple cardiometabolic diseases with atrial fibrillation: a prospective cohort study.

Qunyong Peng, Tianqi Ma, Ming Gao, Xuerui Wang, Wei Pan

Abstract read
In one paragraph

Article in Open heart, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Qunyong PengDepartment of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha, People's Republic of China.ORCID http://orcid.org/0009-0007-2244-6336
Tianqi MaCenter of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Ming GaoDepartment of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Xuerui WangDepartment of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Wei PanNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, People's Republic of China panwei1007@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividual cardiometabolic diseases (CMDs) increase atrial fibrillation (AF) risk; however, whether multiple CMDs exert a cumulative effect on AF risk remains unclear. Our objective was to examine the link between coexisting CMDs and AF, as well as their cumulative impact.

methodsThis UK Biobank-based prospective cohort study included data from participants with information related to CMDs and AF. The assessment of CMDs and AF was based on participants' self-reported medical histories and electronic health records. Cox proportional hazard regression models were employed to analyse the link between the number of CMDs and AF and to determine the cumulative effect of multiple CMDs. Further, we performed stratified analyses and adjusted for confounding factors.

resultsThe study included 308 916 participants. The risk of AF was substantially associated with varying numbers of CMDs after multivariable adjustment in comparison to the reference group (all p<0.001). In the fully adjusted model, participants with 1, 2 and ≥3 CMDs exhibited elevated risks of 54% (HR: 1.54, 95% CI 1.48 to 1.59), 104% (HR: 2.04, 95% CI 1.94 to 2.15) and 212% (HR: 3.12, 95% CI 2.87 to 3.38), respectively. A significant cumulative dose-response relationship was noted between the number of CMDs and AF risk (HR: 1.45, 95% CI 1.42 to 1.48, p<0.001). A consistent dose-dependent cumulative relationship was observed in both stratified and sensitivity analyses.

conclusionsMultiple CMDs increased AF risk and exhibited a significant cumulative effect based on the number of CMDs.

Indexed as

Atrial FibrillationMetabolic DiseasesAgedFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsUnited KingdomAtrial FibrillationGlobal HealthRisk Factors

Identifiers

PMID39988343
PMCPMC11848664

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.