Adding three biomarkers to the HAS-BLED score marginally improved its predictive performance for major bleeding (C index 0.639 vs 0.600; P=0.025), with no significant gain for CHA2DS2-VASc.
Cohort (n=940)
Does adding consecutive biomarkers to CHA2DS2-VASc and HAS-BLED scores improve risk prediction for ischemic stroke and major bleeding in atrial fibrillation patients on vitamin K antagonists?
Adding multiple biomarkers to standard clinical risk scores provides marginal to no clinically useful improvement in predicting stroke or bleeding in atrial fibrillation patients on vitamin K antagonists.
Effect estimate: C index 0.639 (95% CI 0.607-0.669)
p-value: p=0.025
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 CHA 2 DS 2 -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 CHA 2 DS 2 -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 CHA 2 DS 2 -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 CHA 2 DS 2 -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.
Rivera‐Caravaca et al. (Tue,) conducted a cohort in atrial fibrillation (n=940). Addition of consecutive biomarkers to clinical risk scores vs. Clinical risk scores alone (CHA2DS2-VASc and HAS-BLED) was evaluated on Predictive performance (C index) for major bleeding (C index 0.639, 95% CI 0.607-0.669, p=0.025). Adding three biomarkers to the HAS-BLED score marginally improved its predictive performance for major bleeding (C index 0.639 vs 0.600; P=0.025), with no significant gain for CHA2DS2-VASc.
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