Prognostic value of bleeding after percutaneous coronary intervention in patients with diabetes

Gjin Ndrepepa1, Stefanie Schulz, Franz-Josef Neumann

  • 1Deutsches Herzzentrum München, Munich, Germany.

Insights

Bleeding after percutaneous coronary intervention (PCI) significantly increases one-year mortality risk in patients with type 2 diabetes. This finding highlights the importance of managing bleeding events post-PCI for improved patient outcomes.

Area of Science:

  • Cardiology
  • Diabetology
  • Vascular Medicine

Background:

  • Percutaneous coronary intervention (PCI) is a common procedure for managing coronary artery disease.
  • Patients with type 2 diabetes are at higher risk for cardiovascular events and complications, including bleeding.
  • The impact of bleeding post-PCI on mortality in diabetic patients requires further elucidation.

Purpose of the Study:

  • To evaluate the association between bleeding events following PCI and one-year mortality in patients with type 2 diabetes.
  • To differentiate the mortality risk associated with access-site versus non-access-site bleeding.

Main Methods:

  • A retrospective analysis of 4,329 patients with type 2 diabetes who underwent PCI.
  • Bleeding events were classified using Bleeding Academic Research Consortium (BARC) criteria.
  • One-year mortality was the primary outcome, with analysis of access-site and non-access-site bleeds.

Main Results:

  • 10.9% of patients experienced bleeding events post-PCI.
  • Bleeding was associated with a significantly higher one-year mortality (9.6% vs. 4.0%, adjusted HR=2.04).
  • Non-access-site bleeding (OR=3.45) and access-site bleeding (OR=1.90) both independently increased mortality risk.

Conclusions:

  • Bleeding within 30 days after PCI is a significant predictor of increased one-year mortality in diabetic patients.
  • Minimizing bleeding complications post-PCI is crucial for improving survival rates in this high-risk population.
  • Bleeding events enhance the predictive accuracy of mortality risk models in diabetic patients undergoing PCI.
Abstract

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