Key result
Beta-blocker treatment lowers average heart rate by ~4 bpm and improves deep learning model scores.
Why the study?
The potential of wearable technology for assessing cardiovascular care quality remains untapped due to a lack of large datasets linking electronic health records with wearable metrics.
Does beta-blocker therapy reduce daily average heart rate as measured by longitudinal wearable data?
Population
2,914 individuals with wearable data and EHR prescribed a beta blocker in All of Us
Comparison
Before vs after initiation of beta-blocker therapy
Design
Retrospective cohort study linking EHR and wearable data
Follow-up
Median 144 days/participant
Authors
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Supports wearable-EHR monitoring of beta-blocker response; leaves open prospective validation before clinical adoption.
Does beta-blocker therapy reduce daily average heart rate as measured by longitudinal wearable data?
Longitudinal wearable data linked with electronic health records can effectively monitor physiological responses to beta-blocker therapy, offering a scalable approach for evaluating treatment efficacy.
Nargesi et al. (2025) studied this question. Beta-blocker treatment lowered average heart rate from 77.7 to 74 bpm (p<0.001) and improved DL model scores (AUROC 0.7-0.73) in 2,914 wearable-monitored individuals.
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