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.

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