Evidence map›Paper›PMID 41733064›Full record

ArticleJournal of the American Heart Association2026

Multimorbidity in Atrial Fibrillation: Impact on Outcomes.

Sheila M Manemann, Alvaro Alonso, Peter A Noseworthy, Konstantinos C Siontis, Bernard J Gersh, Véronique L Roger, Euijung Ryu, Jill M Killian, Susan A Weston, Lisa E Vaughan and 1 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Sheila M ManemannDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN USA.
Alvaro AlonsoDepartment of Epidemiology, Rollins School of Public Health Emory University Atlanta GA USA.ORCID 0000-0002-2225-8323
Peter A NoseworthyDepartment of Cardiovascular Medicine Mayo Clinic Rochester MN USA.ORCID 0000-0002-4308-0456
Konstantinos C SiontisDepartment of Cardiovascular Medicine Mayo Clinic Rochester MN USA.ORCID 0000-0002-6658-0971
Bernard J GershDepartment of Cardiovascular Medicine Mayo Clinic Rochester MN USA.ORCID 0000-0001-5605-900X
Véronique L RogerDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN USA.ORCID 0000-0002-9347-7865
Euijung RyuDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN USA.
Jill M KillianDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN USA.ORCID 0000-0003-3906-4020
Susan A WestonDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN USA.
Lisa E VaughanDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN USA.ORCID 0000-0002-5159-7738
Alanna M ChamberlainDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN USA.ORCID 0000-0003-1888-9584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity is common in patients with atrial fibrillation (AF); however, the impact of the number and type of comorbid conditions on outcomes remains uncertain.

methodsThis cohort study included patients with new-onset AF from a Midwest region between 2013 and 2017. Eighteen chronic conditions at the time of AF were classified into groups: cardiometabolic, other somatic, and mental health. Cox regression determined associations between the number of each condition type with death, ischemic stroke/transient ischemic attack, and congestive heart failure, stratified by age.

resultsAmong 16 509 patients with AF (mean age, 74 years; 43% women), the mean number of cardiometabolic, other somatic, and mental health conditions was 2.7, 1.4, and 0.5, respectively. The number and type of conditions had a varying impact on outcomes and differed by age. A higher number of cardiometabolic conditions were associated with increased risk of death within 90 days only in people aged ≥85 years (≥4 conditions versus 0: hazard ratio [HR], 1.74 [95% CI, 1.05-2.87]), whereas for death after 90 days, associations were strongest in the youngest age group (<65 years: HR, 1.83 [95% CI, 1.35-2.46]; 65-74 years: HR, 1.34 [95% CI, 1.04-1.73]; 75-84 years: HR, 1.32 [95% CI, 1.09-1.60]; ≥85 years: HR, 1.14 [95% CI, 0.96-1.35]). Associations with outcomes were generally strongest in the youngest age group and attenuated with older age for higher number of other somatic conditions, whereas the pattern was less consistent for mental health conditions.

conclusionsAlong with cardiometabolic-related conditions, other somatic and mental health conditions are important predictors of outcomes in AF, with effects differing by age, and should be considered when caring for these patients.

Indexed as

Atrial FibrillationHeart FailureAgedAged, 80 and overAge FactorsFemaleHumansIschemic Attack, TransientMaleMiddle AgedMultimorbidityPrognosisRisk AssessmentRisk Factorsatrial fibrillationchronic conditionsmultimorbidityoutcomes

Identifiers

PMID41733064
PMCPMC13055713

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.