Evidence map›Paper›PMID 39825667›Full record

ArticleAnnals of medicine2025

Comorbidity patterns and mortality in atrial fibrillation: a latent class analysis of the EURopean study of Older Subjects with Atrial Fibrillation (EUROSAF).

Huah Shin Ng, Richard Woodman, Nicola Veronese, Alberto Pilotto, Arduino A Mangoni

Abstract readMulticenter Study
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Huah Shin NgDepartment of Clinical Pharmacology, Flinders Medical Centre, Southern Adelaide Local Health Network, Adelaide, Australia.ORCID 0000-0001-8381-5253
Richard WoodmanFlinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
Nicola VeroneseGeriatrics Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy.
Alberto PilottoGeriatrics Unit, Department of Geriatric Care, Neurology and Rehabilitation, Galliera Hospital, Genova, Italy.
Arduino A MangoniDepartment of Clinical Pharmacology, Flinders Medical Centre, Southern Adelaide Local Health Network, Adelaide, Australia.ORCID 0000-0001-8699-1412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost older patients with atrial fibrillation (AF) have comorbidities. However, it is unclear whether specific comorbidity patterns are associated with adverse outcomes. We identified comorbidity patterns and their association with mortality in multimorbid older AF patients with different multidimensional frailty.

methodsHospitalised adults aged ≥65 years with non-valvular AF were followed for 12 months in the multicentre EURopean study of Older Subjects with Atrial Fibrillation (EUROSAF). Demographic characteristics, coexisting medical conditions, use of medications including anticoagulants, and the Multidimensional Prognostic Index (MPI) were captured on discharge. We used latent class analysis (LCA) to identify comorbidity phenotypes and Cox regression to determine associations between identified phenotypes and 12-month mortality.

resultsAmongst

conclusionWe observed an association between comorbidity phenotypes identified using LCA and mortality in older AF patients. Further research is warranted to identify the mechanisms underpinning such associations.

Indexed as

Atrial FibrillationAgedAged, 80 and overAnticoagulantsComorbidityEuropeFemaleHumansLatent Class AnalysisMalePhenotypePrognosisProportional Hazards ModelsRisk FactorsAnticoagulantsanticoagulantsAtrial fibrillationcomorbiditiesfrailtylatent class analysismortalitymultidimensional prognostic index.older adultsphenotypes

Identifiers

PMID39825667
PMCPMC11749148

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