Key result
EHR algorithm detects ISTH major bleeding with 91% sensitivity but struggles identifying nonmajor bleeds.
Why the study?
Novel algorithms were developed to identify ISTH-defined major and CRNM bleeding using EHR data, but required application and validation in a large US integrated health system.
Do EHR-based algorithms accurately identify ISTH-defined major and clinically relevant nonmajor bleeding in adults with atrial fibrillation on oral anticoagulants?
Observational (n=62,106)
Yes
Do EHR-based algorithms accurately identify ISTH-defined major and clinically relevant nonmajor bleeding in adults with atrial fibrillation on oral anticoagulants?
Effect estimate: Sensitivity 0.91 (95% CI 0.86, 0.94)
EHR-based algorithms can accurately identify ISTH-defined major bleeding events in real-world atrial fibrillation patients, though sensitivity for clinically relevant nonmajor bleeding is suboptimal.
Supports EHR algorithms for major bleeding identification in AF cohorts; leaves CRNM validation open for prospective refinement.
Background: Novel algorithms were developed to identify International Society on Thrombosis and Haemostasis (ISTH)-defined major and clinically relevant nonmajor (CRNM) bleeding events using electronic health record (EHR) data. Objectives: We applied and validated these EHR-based algorithms in a large US integrated health system. Methods: We conducted a retrospective cohort and chart review study of adults with atrial fibrillation and ≥1 oral anticoagulant (OAC) prescription between 2013 and 2021. EHR-based algorithms were applied to identify ISTH-defined major and CRNM bleeding from the first OAC fill until disenrollment, death, or June 2022, whichever occurred first. Through conditional sampling, 433 patients were selected for clinician chart review. Sensitivity, specificity, positive predictive values, and negative predictive values were calculated. Results: Among 62,106 adults (mean age, 72.6 years; 57.1% male), the ISTH major and CRNM bleeding event rates per the algorithms were 3.54 and 19.67 per 100 person-years, respectively, during a median follow-up of 4.3 years. Sensitivity and specificity were 0.91 (95% CI, 0.86, 0.94) and 0.92 (95% CI, 0.88, 0.95) for major bleeding, respectively, and 0.66 (95% CI, 0.54, 0.76) and 0.86 (95% CI, 0.82, 0.90) for CRNM bleeding, respectively. The positive and negative predictive values were 0.91 (95% CI, 0.87, 0.94) and 0.92 (95% CI, 0.89, 0.95) for major bleeding, respectively, and 0.52 (95% CI, 0.44, 0.60) and 0.92 (95% CI, 0.90, 0.94) for CRNM bleeding, respectively. Conclusion: The EHR-based ISTH major bleeding algorithm demonstrated high sensitivity and specificity, while the CRNM bleeding algorithm showed suboptimal sensitivity. The EHR-based ISTH algorithms may enhance understanding of OAC safety using real-world evidence.
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An et al. (2026) conducted an observational in Atrial fibrillation (n=62,106). EHR-based ISTH bleeding algorithms vs. Manual chart review was evaluated on Sensitivity of ISTH major bleeding algorithm (Sensitivity 0.91, 95% CI 0.86, 0.94). The EHR-based ISTH major bleeding algorithm demonstrated high sensitivity of 0.91 and specificity of 0.92, whereas the clinically relevant nonmajor bleeding algorithm showed suboptimal sensitivity of 0.66.
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