Incidence, predictors and prognostic implications of bleeding complicating primary percutaneous coronary intervention

Vojnosanitetski Pregled
|September 15, 2015
PubMed

Insights

Major bleeding after primary percutaneous coronary intervention (PCI) in ST-elevation myocardial infarction (STEMI) patients is linked to adverse outcomes. Advanced age, female gender, anemia, and heart failure predict bleeding risk.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Vascular Medicine

Background:

  • Limited data on bleeding complications in real-world ST-elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PCI).
  • Existing research often focuses on acute coronary syndromes (ACS) from randomized trials, not unselected STEMI populations.

Purpose of the Study:

  • To determine the incidence of in-hospital major bleeding in unselected STEMI patients undergoing primary PCI.
  • To identify predictors of major bleeding in this patient group.
  • To evaluate the prognostic impact of major bleeding on mortality and major adverse cardiac events (MACE).

Main Methods:

  • Retrospective analysis of 770 consecutive STEMI patients undergoing primary PCI.
  • Definition of major bleeding based on Global Use of Strategies to Open Occluded Coronary Arteries (GUSTO) criteria.
  • Assessment of in-hospital and 6-month mortality and MACE as primary outcomes.

Main Results:

  • In-hospital major bleeding occurred in 4.2% of patients.
  • Predictors included advanced age (≥65 years), female gender, baseline anemia, elevated white blood cell count, and congestive heart failure (Killip class II-IV).
  • Major bleeding was associated with >2.5-fold higher mortality and MACE rates; it predicted 6-month MACE but not fully adjusted mortality/MACE.

Conclusions:

  • Certain patient characteristics (advanced age, female gender, anemia, heart failure) identify high-risk individuals for bleeding post-primary PCI.
  • While bleeding is linked to adverse outcomes and may indicate patient frailty, it's not an independent predictor of mortality or MACE in fully adjusted models.
Abstract

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