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Challenge in Predicting Persistence to P2Y12 Inhibitors: A Perspective From the ARTEMIS Trial
Jennifer A Rymer1, Zachary K Wegermann1, Lisa A Kaltenbach1
1Duke University School of Medicine Durham NC USA.
Insights
Improving P2Y12 inhibitor persistence after myocardial infarction is crucial. Predictive models for nonpersistence performed poorly, highlighting the need for better patient and clinician education on therapy importance.
Area of Science:
- Cardiology
- Pharmacology
- Health Services Research
Background:
- Premature discontinuation of P2Y12 inhibitor therapy is linked to adverse cardiac events.
- Current risk models inadequately predict patients likely to discontinue P2Y12 inhibitor therapy.
- Improving medication persistence is key to preventing adverse outcomes.
Purpose of the Study:
- To assess the impact of a copayment assistance intervention on P2Y12 inhibitor persistence and outcomes post-myocardial infarction.
- To develop and evaluate a predictive model for 1-year P2Y12 inhibitor nonpersistence.
Main Methods:
- The ARTEMIS trial randomized 6212 post-myocardial infarction patients to usual care or copayment assistance.
- Nonpersistence was defined as a gap >30 days in P2Y12 inhibitor prescription fills.
- A 53-variable multivariable model was developed to predict 1-year nonpersistence.
Main Results:
- Overall 1-year P2Y12 inhibitor nonpersistence was 47.9%.
- Copayment assistance showed a modest reduction in nonpersistence (45.3%).
- The predictive model's discrimination was poor (C-index 0.58-0.62), even with patient-reported data.
Conclusions:
- Predictive models for P2Y12 inhibitor therapy persistence post-myocardial infarction have limited accuracy.
- Enhanced patient-reported variables did not significantly improve model performance.
- Continued education for patients and clinicians on P2Y12 inhibitor therapy importance is recommended.
Abstract:
Background Premature discontinuation of P2Y12 inhibitor therapy has been associated with adverse cardiac events, which might be preventable by improving medication persistence. Current risk models have limited ability to predict patients at risk of P2Y12 inhibitor nonpersistence. Methods and Results ARTEMIS (Affordability and Real-World Antiplatelet Treatment Effectiveness after Myocardial Infarction Study) was a randomized, controlled trial testing the impact of a copayment assistance intervention on P2Y12 inhibitor persistence and outcomes. Among 6212 patients post myocardial infarction with a planned 1-year course of P2Y12 inhibitor therapy, nonpersistence was defined as a gap in P2Y12 inhibitor filled >30 days by pharmacy fill data. We developed a predictive model for 1-year P2Y12 inhibitor nonpersistence among patients randomized to usual care. P2Y12 inhibitor nonpersistence rates were 23.8% (95% CI, 22.7%-24.8%) at 30 days and 47.9% (46.6%-49.1%) at 1 year; the majority of these patients had in-hospital percutaneous coronary intervention. Patients who received the copayment assistance intervention had nonpersistence rates of 22.0% (20.7%-23.3%) at 30 days and 45.3% (43.8%-46.9%) at 1 year. A 53-variable multivariable model predicting 1-year persistence had a C-index of 0.63 (optimism-corrected C-index 0.58). Model discrimination did not improve with inclusion of patient-reported perceptions about disease, medication-taking beliefs, and prior medication-filling behavior in addition to demographic and medical history data (C-index 0.62). Conclusions Despite addition of patient-reported variables, models predicting persistence with P2Y12 inhibitor therapy performed poorly, thereby suggesting the need for continued patient and clinician education on the importance of P2Y12 inhibitor therapy after acute myocardial infarction. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02406677.
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