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Refining Stroke and Bleeding Prediction in Atrial Fibrillation by Adding Consecutive Biomarkers to Clinical Risk
José Miguel Rivera-Caravaca1, Francisco Marín1, Juan Antonio Vilchez2
1From the Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, CIBERCV, Instituto Murciano de Investigación Biosanitaria, Murcia, Spain (J.M.R.-C., F.M., M.A.E.-P.).
Insights
Adding multiple biomarkers did not significantly improve stroke risk prediction in atrial fibrillation patients. However, combining three specific biomarkers slightly enhanced prediction of major bleeding events, though clinical usefulness remained marginal.
Area of Science:
- Cardiology
- Biomarker Research
- Atrial Fibrillation Management
Background:
- European guidelines recommend biomarkers for atrial fibrillation (AF) risk stratification.
- The incremental value of using multiple biomarkers beyond one is not well-established.
- Current risk scores like CHA₂DS₂-VASc and HAS-BLED may benefit from biomarker integration.
Purpose of the Study:
- To evaluate if adding consecutive biomarkers incrementally enhances the predictive performance of CHA₂DS₂-VASc and HAS-BLED scores.
- To assess the impact of multiple biomarkers on risk stratification for ischemic stroke and major bleeding in AF patients on vitamin K antagonists (VKAs).
Main Methods:
- A cohort of 940 AF patients stable on VKAs was studied.
- VWF, high-sensitivity troponin T, NT-proBNP, high-sensitivity IL-6, fibrin monomers, and BTP were quantified at baseline.
- Biomarkers were incrementally added to CHA₂DS₂-VASc and HAS-BLED scores, and predictive performance was assessed using the C index.
Main Results:
- Over 6.5 years, 98 ischemic strokes and 172 major bleeds occurred.
- Adding biomarkers did not significantly increase CHA₂DS₂-VASc predictive performance for stroke; a three-biomarker model showed a small sensitivity gain.
- The HAS-BLED score's predictive performance for major bleeding was enhanced by biomarker addition, particularly with a three-biomarker model (VWF+NT-proBNP+IL-6).
Conclusions:
- Incremental addition of biomarkers did not substantially improve stroke risk prediction using the CHA₂DS₂-VASc score in AF patients.
- While biomarker addition slightly enhanced major bleeding prediction with the HAS-BLED score, the overall clinical benefit and usefulness were marginal.
- Current risk scores based on clinical factors remain the primary tool for risk stratification in this patient population.
Abstract:
Background and Purpose- Current European guidelines for the management of atrial fibrillation suggest using biomarkers to refine the risk stratification process. However, it is unclear whether ≥2 biomarkers incrementally improve risk prediction beyond 1 biomarker alone. We investigated whether the predictive performance of CHA2DS2-VASc and HAS-BLED scores could be enhanced by incrementally adding consecutive different biomarkers in real-world atrial fibrillation patients taking vitamin K antagonists therapy. Methods- We included 940 atrial fibrillation patients stable on vitamin K antagonists (international normalized ratio, 2.0-3.0) for at least the previous 6 months. At inclusion, VWF (von Willebrand factor), high-sensitivity troponin T, NT-proBNP (N-terminal pro-B-type natriuretic peptide), high-sensitivity IL (interleukin)-6, fibrin monomers, and BTP (β-trace protein) concentrations were quantified. During follow-up, all adverse events were recorded, and biomarkers were added to CHA2DS2-VASc and HAS-BLED scores depending on the C index. Results- During 6.5 (4.3-7.9) years, there were 98 ischemic strokes (1.60% per year) and 172 major bleeds (1.60% per year). After the addition of biomarkers, the predictive performance of CHA2DS2-VASc was not significantly increased, although the model with 3 biomarkers (ie, NT-proBNP+BTP+VWF) showed a low gain in sensitivity (integrated discrimination improvement, 2.70%; P<0.001). The predictive performance of HAS-BLED was enhanced in all biomarker-based models, with the best prediction shown by the model with 3 biomarkers (ie, VWF+NT-proBNP+high-sensitivity IL-6; C index, 0.600 [95% CI, 0.561-0.625] versus 0.639 [95% CI, 0.607-0.669]; P=0.025). This model also confirmed an increased sensitivity (integrated discrimination improvement, 5.20%; P<0.001) and positive reclassification (net reclassification improvement, 19.20%; P=0.020). Conclusions- By adding consecutive biomarkers, the predictive ability of CHA2DS2-VASc for ischemic stroke was not increased, whereas the predictive ability of HAS-BLED for major bleeding was only slightly enhanced. The net benefit and clinical usefulness of the biomarker-based models were marginal in comparison to the original scores based on clinical factors.
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