Evidence map›Paper›PMID 40158072›Full record

ArticleBMC cardiovascular disorders2025

The impact of preoperative atrial fibrillation on survival and outcomes in heartmate II and heartmate 3 patients.

Rami Al-Khusein, Alish Kolashov, Nikolaus Marx, Ajay Moza, Ahmad Abugameh, Yousif Ibrahim Mohamed, Assila Al-Ahmed, Mohammed Shoaib, Leyla Dogan, Rashad Zayat and 1 more

Abstract readComparative Study
In one paragraph

Article in BMC cardiovascular disorders, 2025. 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. Observational
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.

Rami Al-Khusein *Faculty of Medicine, Clinic for Cardiology, Angiology, and Intensive Care Medicine, RWTH Aachen University, University Hospital Aachen, Aachen, Germany. ralkhusein@ukaachen.de.
Alish Kolashov *Faculty of Medicine, Department of Cardiac Surgery, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Nikolaus MarxFaculty of Medicine, Clinic for Cardiology, Angiology, and Intensive Care Medicine, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Ajay MozaFaculty of Medicine, Department of Cardiac Surgery, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Ahmad AbugamehDepartment of Cardiovascular Surgery, Klinikum Dortmund gGmbH, Dortmund, Germany.
Yousif Ibrahim MohamedDepartment of Cardiothoracic Surgery, St. Johannes Hospital, Dortmund, Germany.
Assila Al-AhmedDepartment of Radiology, St. Augustinus Hospital, Dueren, Germany.
Mohammed ShoaibDepartment of Cardiac Surgery, Klinikum Links der Weser, Bremen, Germany.
Leyla DoganFaculty of Medicine, Department of Cardiac Surgery, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Rashad Zayat *Faculty of Medicine, Department of Cardiac Surgery, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Mohammad Amen Khattab *Faculty of Medicine, Department of Cardiac Surgery, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is prevalent among patients with left ventricular assist devices (LVADs); however, the exact influence of different types of AF on the clinical outcomes of these patients is unknown. The purpose of this study was to ascertain the impact of different types of AF on the outcomes of patients with LVADs.

methodsThe records of 162 patients with the LVADs HeartMate 3 (n = 64) and HeartMate II (n = 98) at a single center were reviewed. Kaplan‒Meier survival analysis and Cox proportional hazards regression were used to analyze the associations among paroxysmal atrial fibrillation (pAF), permanent atrial fibrillation (peAF), survival, hemorrhage, and thromboembolism. To adjust for confounding factors, we also used the inverse probability of treatment weighting (IPTW) method and estimated the average treatment effect (ATE) for the outcomes of ischemic stroke (IS), mortality and right heart failure (RHF). CLINICAL TRIAL NUMBER: not applicable.

resultsOf the 56 (34.6%) patients with preoperative AF, 38 patients had pAF and 18 patients had peAF. Overall survival differed significantly among the three groups (log-rank test: p = 0.001). Patients with peAF or pAF had a greater incidence of postoperative right heart failure (RHF) than did patients with sinus arrhythmia (SR) (p = 0.037). According to the univariate and multivariate Cox regression analyses, both pAF and peAF were independent risk factors for post-LVAD IS (hazard ratio [HR]: 3.65 (95% CI: 1.28-10.41, p = 0.016 and HR: 9.48 (2.94-30.56), p < 0.001). Patients with preoperative peAF or pAF who received an LVAD did not have an increased risk for hemorrhagic stroke. After IPTW, the ATE with respect to mortality was significantly different between patients with peAF and those with SR (p < 0.001). The ATE with respect to post-LVAD IS was significantly different for the pAF vs. SR and the peAF vs. SR patient groups (p = 0.035 and p = 0.004). After IPTW, the ATE for the RHF outcome did not significantly differ among the three groups.

conclusionsPatients with preoperative pAF or peAF who underwent LVAD implantation had a higher risk of IS than patients with SR. Our data demonstrated that only preoperative peAF is associated with poor survival while SR is not.

Indexed as

Atrial FibrillationHeart-Assist DevicesHeart FailureProsthesis ImplantationVentricular Function, LeftAdultAgedFemaleHemorrhageHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsThromboembolismAtrial fibrillationHeartMate 3HeartMate IIIschemic strokeLeft ventricular assist deviceSurvival

Identifiers

PMID40158072
PMCPMC11954273

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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.