Evidence map›Paper›PMID 37460268›Full record

ArticleOpen heart2023

Cardiovascular and renal multimorbidity increase risk of atrial fibrillation in the PREVEND cohort.

Colinda Van Deutekom, Bastiaan Geelhoed, Barbara C Van Munster, Stephan J L Bakker, Ron T Gansevoort, Isabelle C Van Gelder, Michiel Rienstra

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open heart, 2023. 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.

  1. Article
  2. Hospital healthcare utilisation in patients with atrial fibrillation: the role of multimorbidity and age.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2025
    Article
  3. Multimorbidity increases risk of atrial fibrillation recurrence after cryoballoon ablation.International journal of cardiology. Heart & vasculature · 2025
    Article
  4. Article
  5. Review
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

7 authors.

Colinda Van DeutekomDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Bastiaan GeelhoedDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Barbara C Van MunsterDepartment of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Stephan J L BakkerDepartment of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Ron T GansevoortDepartment of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Isabelle C Van GelderDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Michiel RienstraDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands m.rienstra@umcg.nl.ORCID 0000-0002-2581-070X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAtrial fibrillation (AF) is a condition that occurs in the presence of comorbidities. With the accumulation of comorbidities (multimorbidity), some combinations may more often occur together than others. Information on the impact of clustering of these on incident AF is sparse. We aimed to investigate clustering of cardiovascular and renal comorbidities and study the association between comorbidity clusters and incident AF.

methodsWe used the community-based Prevention of Renal and Vascular ENd-stage Disease (PREVEND) cohort in which 8592 individuals participated. Latent class analysis was performed to assess clustering of 10 cardiovascular and renal comorbidities.

resultsWe excluded individuals with prior AF or missing ECG data, leaving 8265 individuals for analysis (mean age 48.9±12.6 years, 50.2% women). During 9.2±2.1 years of follow-up, 251 individuals (3.0%) developed AF. A model with three clusters was the optimal model, with one cluster being young (44.5±10.8 years) and healthy, carrying a low (1.0%) risk of incident AF; one cluster being older (63.0±8.4 years) and multimorbid, carrying a high (16.2%) risk of incident AF and a third middle-aged (57.0±11.3 years), obese and hypertensive cluster carrying an intermediate risk (5.9%) of incident AF. While the prevalence of the comorbidities differed between classes, no clear combination(s) of comorbidities was observed within the classes.

conclusionsWe identified three clusters of comorbidities in individuals in the community-based PREVEND cohort. The three clusters contained different amount of comorbidities carrying different risks of incident AF. However, there were no differences between the clusters regarding specific combination(s) of comorbidities.

Indexed as

Atrial FibrillationHypertensionAdultComorbidityFemaleHumansKidneyMaleMiddle AgedMultimorbidityAtrial FibrillationEPIDEMIOLOGYRISK FACTORS

Identifiers

PMID37460268
PMCPMC10357795

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Registered trials

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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.