The Combined Predictive Value of the GRACE Score and the ARC-HBR Criteria for Bleeding Risk After Percutaneous

Xiaoying Wang1, Yuanyuan Ning2, Xiaojuan Wang1

  • 1Department of Pharmacy, Fuyang People's Hospital, Fuyang, Anhui, 236000, People's Republic of China.

Insights

Combining the Global Registry of Acute Coronary Events (GRACE) score and Academic Research Consortium for High Bleeding Risk (ARC-HBR) criteria improves prediction of bleeding events after percutaneous coronary intervention (PCI) in ST-segment elevation myocardial infarction (STEMI) patients.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Clinical Risk Stratification

Background:

  • ST-segment elevation myocardial infarction (STEMI) patients undergoing percutaneous coronary intervention (PCI) face significant bleeding risks.
  • Accurate prediction of bleeding is crucial for optimizing patient management and outcomes.

Purpose of the Study:

  • To assess the added predictive value of combining the GRACE score with ARC-HBR criteria for post-PCI bleeding risk in STEMI patients.
  • To compare the predictive performance of the combined model against individual scores.

Main Methods:

  • Prospective observational study of 338 STEMI patients undergoing first-time PCI.
  • Bleeding events classified using Bleeding Academic Research Consortium (BARC) criteria.
  • Statistical analysis included ROC curves, NRI, IDI, DCA, and calibration plots with internal validation.

Main Results:

  • The combined GRACE + ARC-HBR model showed superior predictive performance (AUC 0.774) compared to GRACE alone (0.712) or ARC-HBR alone (0.667).
  • The integrated discrimination improvement (IDI) was significant when combining GRACE and ARC-HBR (0.0560 vs GRACE; 0.0768 vs ARC-HBR).
  • Decision curve analysis indicated the highest net benefit for the combined model across various threshold probabilities.

Conclusions:

  • The combination of GRACE score and ARC-HBR criteria offers incremental predictive value for bleeding events post-PCI in STEMI patients.
  • This combined approach enhances risk stratification beyond individual score assessments.
Abstract

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