Evidence map›Paper›PMID 42370997›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2026

Risk factors of atrial fibrillation progression in patients with congenital heart disease.

Can Zhang, Nawin L Ramdat Misier, Lixia Dai, Manouk H C Linderhof, Hoang H Nguyen, Annemien E van den Bosch, Vehpi Yildirim, Mathijs S van Schie, Yannick J H J Taverne, Natasja M S de Groot

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Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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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

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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

10 authors.

Can ZhangDepartment of Cardiology, Unit Translational Electrophysiology, Erasmus Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015GD, Netherlands.
Nawin L Ramdat MisierDepartment of Cardiology, Unit Translational Electrophysiology, Erasmus Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015GD, Netherlands.
Lixia DaiDepartment of Cardiology, Unit Translational Electrophysiology, Erasmus Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015GD, Netherlands.
Manouk H C LinderhofDepartment of Cardiology, Unit Translational Electrophysiology, Erasmus Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015GD, Netherlands.
Hoang H NguyenDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Annemien E van den BoschDepartment of Cardiology, Unit Translational Electrophysiology, Erasmus Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015GD, Netherlands.
Vehpi YildirimDepartment of Cardiology, Unit Translational Electrophysiology, Erasmus Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015GD, Netherlands.
Mathijs S van SchieDepartment of Cardiology, Unit Translational Electrophysiology, Erasmus Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015GD, Netherlands.
Yannick J H J TaverneDepartment of Cardiothoracic Surgery, Erasmus Medical Center, Rotterdam, Netherlands.
Natasja M S de GrootDepartment of Cardiology, Unit Translational Electrophysiology, Erasmus Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015GD, Netherlands. n.m.s.degroot@erasmusmc.nl.ORCID http://orcid.org/0000-0002-0259-6691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify risk factors for atrial fibrillation (AF) progression in adults with congenital heart disease (CHD), a population in which AF is increasingly prevalent yet predictors of progression remain poorly defined.

methodsAdults with CHD and AF (N = 125) were followed for 17 ± 8 years. AF progression was defined as transition from paroxysmal to persistent/permanent AF. Coexisting atrial tachycardia, permanent pacing modes, and longitudinal changes in QRS duration (QRSd) and corrected QT interval (QTc) were evaluated. Time-dependent Cox regression and Fine-Gray competing risk models were used to identify risk factors for AF progression.

resultsAF progression occurred in 57 (45.6%) patients after a median of 5 (range: 0-30) years. Both QRSd and QTc prolongation were more pronounced in CHD patients with AF progression (AF progression ΔQRSd: + 11 ms, ΔQTc: + 28 ms, no-AF progression: ΔQRSd: + 7 ms, ΔQTc: + 11 ms, P < 0.05, respectively). Independent risk factors for AF progression included female sex (HR[95%CI] 2.3[1.3-3.9], P = 0.003), mild or moderate CHD complexity (HR[95%CI] 5.5[2.3-13.1], P < 0.001, and 4.4[1.8-11.0], P = 0.002) and baseline ventricular pacing (HR[95%CI] 5.9[2.5-13.7], P < 0.001). Similar associations were observed in Fine-Gray analyses accounting for death.

conclusionsIn adults with CHD, AF progression is common and associated with more pronounced ventricular electrical remodeling. Both modifiable (pacing mode) and intrinsic (sex and CHD complexity) risk factors are related to AF progression. These findings enable identification of high-risk CHD patients for AF progression and provide a foundation for future studies on targeted monitoring or treatment.

Indexed as

Atrial fibrillationAtrial tachyarrhythmiaCongenital heart diseasePacing modeProgression

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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.