Validation of the DAPT score in large-scale consecutive and contemporary patients population in the real world

Guofeng Gao1, Yanyan Zhao1, Dong Zhang1

  • 1From State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Cardiovascular Institute, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Platelets
|November 3, 2020
PubMed

Insights

The Dual Antiplatelet Therapy (DAPT) score did not effectively predict ischemic or bleeding risks in patients undergoing percutaneous coronary intervention (PCI). This large study found similar event rates between low and high DAPT score groups.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Clinical Risk Stratification

Background:

  • The Dual Antiplatelet Therapy (DAPT) score was developed to assess risks of ischemia and bleeding after percutaneous coronary intervention (PCI).
  • Previous studies showed inconsistent predictive performance of the DAPT score.
  • A need exists to validate the DAPT score in diverse patient populations and clinical settings.

Purpose of the Study:

  • To evaluate the predictive utility of the DAPT score for ischemic and bleeding events in a large cohort of consecutive PCI patients.
  • To assess whether the DAPT score can effectively stratify patients into low and high risk categories for adverse events.
  • To determine if the DAPT score is an independent predictor of clinical outcomes post-PCI.

Main Methods:

  • A large-scale cohort study including 9,114 patients who underwent PCI and adhered to DAPT.
  • Patients were event-free for the first 12 months post-PCI.
  • Outcomes assessed included major adverse cardiovascular and cerebrovascular events, myocardial infarction, stent thrombosis, and bleeding events between 12 and 24 months post-PCI.
  • Patients were categorized into low (score <2) and high (score ≥2) DAPT score groups.
  • Statistical analyses included multivariable analysis and receiver operating characteristic (ROC) curve analysis.

Main Results:

  • The incidence of primary ischemic endpoints and bleeding endpoint was similar between the low and high DAPT score groups.
  • Multivariable analysis revealed that the DAPT score was not an independent predictor of either ischemic or bleeding endpoints.
  • Receiver operating characteristic (ROC) curve analysis showed that the C-statistic for the DAPT score was not significant for predicting ischemic or bleeding events.

Conclusions:

  • In this large cohort of PCI patients, the DAPT score demonstrated a limited ability to discriminate between patients at high and low risk for ischemic and bleeding events.
  • The findings suggest that the DAPT score may not be a reliable tool for risk stratification in this specific patient population.
  • Further research may be needed to identify more accurate predictors of clinical outcomes after PCI and DAPT.

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