Abstract

Abstract Background Frailty and multimorbidity are common in patients with atrial fibrillation (AF). The quantifiable frailty phenotype has been validated as predictive of mortality and disability, and patients can be categorised as frail and non-frail using the Claims-based Frailty Index (CFI). The Charlson comorbidity index (CCI) is a tool to quantify multimorbidity and also a strong estimator of mortality. We evaluated whether frailty and multimorbidity are associated with the risk of major bleeding in patients with AF. Methods Based on the administrative hospital-discharge database, we collected information for all patients with AF between 2010 and 2019 in France. CCI and CFI were calculated for each patient, and their associated risks of bleeding compared to 4 bleeding risk scores (HAS-BLED, HEMORR2HAGES, ATRIA and ORBIT). The analysis focused on patients with events or with at least one year of follow-up. Predictive abilities of the scores were compared in the whole population, and then separately in the subgroup of elderly patients (>75 yo). Results Among 1,372,567 patients with AF, 131,535 major bleeding events were recorded during a follow-up of 3.5±2.1 years (median 3.1, IQR 1.8–4.9) (yearly rate 2.7%). Bleeding occurred more commonly in patients with higher HAS-BLED, ATRIA, CCI and CFI scores. Those with high frailty and multimorbidity had markedly higher yearly incidences of bleeding events of 13.0% and 14.7%, respectively (vs low frailty and multimorbidity: 4.3%% and 4.1%, respectively; p<0.001). The 4 bleeding risk scores significantly had lower c-statistics than CCI and CFI for predicting major bleeding (table). In elderly patients (n=853,833), the c-statistics were all lower than in the whole population and were lower for the 4 scores than for the CCI and CFI scores (0.463, 0.473, 0.443, 0.445, 0.622 and 0.620 for HAS-BLED, ATRIA, ORBIT, HEMORR2HAGES, CCI and CFI, respectively). Conclusion Multimorbidity and frailty, respectively assessed with CCI and CFI, demonstrated statistically better performances in predicting major bleeding than the 4 established bleeding risk scores in AF. Funding Acknowledgement Type of funding source: None

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