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Published on: September 26, 2018
The potential role of EHR data in optimizing eligibility criteria definition for cardiovascular outcome trials
Jae Hyun Kim1, Alex M Butler1, Casey N Ta1
1Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA.
Insights
Optimizing inclusion criteria for cardiovascular outcome trials (CVOTs) is key. Specific criteria, like age ≥ 60 with multiple risk factors, maximize cardiovascular event incidence in diabetes patients.
Area of Science:
- Cardiology
- Clinical Trials
- Epidemiology
Background:
- Cardiovascular outcome trials (CVOTs) enroll high-risk patients.
- The effect of specific inclusion criteria on patient accrual and event rates in CVOTs is not well understood.
Purpose of the Study:
- To evaluate the impact of inclusion criteria on patient accrual and cardiovascular event incidence.
- To identify optimal criteria for CVOTs in diabetes patients.
Main Methods:
- Retrospective cohort study of 1544 diabetes patients.
- Utilized electronic health records from New York Presbyterian Hospital / Columbia University Irving Medical Center.
- Analyzed the relationship between various inclusion criteria and the incidence of composite cardiovascular events.
Main Results:
- The highest incidence of composite events (cardiovascular mortality, stroke, myocardial infarction) occurred with criteria including pre-existing cardiovascular diseases or age ≥ 60 plus at least two risk factors (diabetes duration, hypertension, dyslipidemia, smoking, albuminuria).
Conclusions:
- Electronic health records can optimize CVOT inclusion criteria.
- Balancing study inclusiveness and event numbers is achievable through data-driven criteria selection.
Background:
Cardiovascular outcome trials (CVOTs) include patients with high risks for cardiovascular events based on specific inclusion criteria. Little is known about the impact of such inclusion criteria on patient accrual and the incidence rate of cardiovascular events.
Materials And Methods:
We evaluated the impact of criteria on the accrual and the number of cardiovascular events in a cohort of 1544 diabetes patients identified from the clinical data warehouse of New York Presbyterian Hospital / Columbia University Irving Medical Center.
Results:
The highest incidence rate of the composite events (i.e., cardiovascular mortality, stroke, and myocardial infarction) was observed when the inclusion criteria seek patients with underlying cardiovascular diseases or age ≥ 60 with at least two of the risk factors including duration of diabetes, hypertension, dyslipidemia, smoking status, and albuminuria.
Conclusion:
Our study shows that the electronic health records could be utilized to optimize the inclusion criteria while balancing study inclusiveness and number of events.
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