0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAbstract 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
Laurent Fauchier, Arnaud Bisson, Alexandre Bodin, J Herbert, Nicolas Clémenty, Bertrand Pierre, Denis Angoulvant, Olivier Hanon, D Babuty, Professor Gregory Lip (2020). Bleeding risks with frailty and multimorbidity in patients with atrial fibrillation. A nationwide analysis of 1.4 million subjects. , 41(Supplement_2), DOI: https://doi.org/10.1093/ehjci/ehaa946.0685.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2020
Authors
10
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1093/ehjci/ehaa946.0685
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access