ArticleNature communications2025
Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- Peripheral Leukocyte TET Protein Expression Is Associated with Plasma Coagulation Parameters in Patients with Heart Failure with Reduced Ejection Fraction: A Two-Center Cross-Sectional Study.Journal of clinical medicine · 2026Article
- Plasma insulin-like growth Factor-Binding protein 7 predicts 20-Year Cancer-Specific and overall survival in ARIC.Journal of the National Cancer Institute · 2026Article
- Review
- Association between atrial fibrillation and systemic inflammation with muscle mass and strength trajectories in old age.GeroScience · 2026Article
- Comprehensive assessment of novel cardiovascular biomarkers in AF.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
- Blood Biomarkers and the Risk of Coronary Disease in Atrial Fibrillation.Journal of the American Heart Association · 2026Article
- Waiting Time for Pulmonary Vein Isolation: A Single-Center Retrospective Cohort Study of Atrial Fibrillation Progression and Complications.Medicina (Kaunas, Lithuania) · 2026Observational
- Digital immune twins and ai-integrated multi-omic biomarkers: Redefining personalized immunotherapy in non-small cell lung cancer.Iranian journal of basic medical sciences · 2026Review
- Machine learning and multi-omics technologies for precision cardiovascular medicine: advancing diagnosis, risk prediction, and therapeutic guidance.Frontiers in cardiovascular medicine · 2026Review
- Rivaroxaban versus warfarin: differential effects on oxidative stress and fibrinolytic markers in atrial fibrillation.Frontiers in pharmacology · 2026Article
- Cancer, Inflammation, and Thrombosis: Drivers of Atrial Fibrillation in Oncology Patients.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisReview
Corrections and comments
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Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atrial fibrillation (AF) increases the risk of adverse cardiovascular events, yet the underlying biological mechanisms remain unclear. We evaluate a panel of 12 circulating biomarkers representing diverse pathophysiological pathways in 3817 AF patients to assess their association with adverse cardiovascular outcomes. We identify 5 biomarkers including D-dimer, growth differentiation factor 15 (GDF-15), interleukin-6 (IL-6), N-terminal pro-B-type natriuretic peptide (NT-proBNP), and high-sensitivity troponin T (hsTropT) that independently predict cardiovascular death, stroke, myocardial infarction, and systemic embolism, significantly enhancing predictive accuracy. Additionally, GDF-15, insulin-like growth factor-binding protein-7 (IGFBP-7), NT-proBNP, and hsTropT predict heart failure hospitalization, while GDF-15 and IL-6 are associated with major bleeding events. A biomarker model improves predictive accuracy for stroke and major bleeding compared to established clinical risk scores. Machine learning models incorporating these biomarkers demonstrate consistent improvements in risk stratification across most outcomes. In this work, we show that integrating biomarkers related to myocardial injury, inflammation, oxidative stress, and coagulation into both conventional and machine learning-based models refine prognosis and guide clinical decision-making in AF patients.
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Registered trials
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 Socratic graph.