Plasma Biomarkers Associated With Heart Failure Hospitalization Among Patients With Atrial Fibrillation and Subtypes of Heart Failure.
Pol T., Lindbäck J., Oldgren J., Alexander JH., Siegbahn A., Wallentin L.
Cohort Study with a reported sample of 596 on Cardiovascular Disease, Stroke Research, published in J Am Heart Assoc (2026) — summary generated from the PubMed abstract.
Early human evidence such as case series or small samples is exploring possible benefits.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Cohort Study
- Journal
- J Am Heart Assoc (2026)
- Country
- England
- Reported sample size
- 596
- Source database
- PubMed
- PMID
- 41532553
- DOI
- 10.1161/JAHA.125.045970
Abstract (original English)
Atrial fibrillation is associated with heart failure (HF) through a complex cause-and-effect relationship. We performed multiplex screening of plasma proteins in patients with atrial fibrillation to identify biomarkers and pathways associated with hospitalization for HF. Additionally, we aimed to identify potential pathophysiological differences between HF with reduced ejection fraction and HF with preserved ejection fraction at baseline in patients with atrial fibrillation. Using a case-cohort design of patients with atrial fibrillation from the ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) trial, 596 cases with HF hospitalizations during follow-up and 4029 randomly selected controls without HF hospitalization. Plasma obtained at randomization was analyzed with conventional immunoassays and proximity extension assay panels. Biomarker associations with HF hospitalization were evaluated using random survival forest, Boruta, and Cox-regression analyses. Associations between biomarkers and HF subtype were evaluated with Wilcoxon-Mann-Whitney test with Bonferroni-Holm adjustment for multiplicity. The biomarkers most strongly and significantly associated with increased risk of HF hospitalization after adjustment for clinical characteristics, renal function, and cardiac biomarkers, and after correction for multiplicity ( P ≤0.0002
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
Evidence level
Early human evidence such as case series or small samples is exploring possible benefits.
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