Predictors of mortality and adverse outcome in elderly high-risk patients undergoing percutaneous coronary

Emma Miranda Malpica1, Marco Antonio Peña Duque, José Castellanos

  • 1The National Institute of Cardiology, Mexico City.

Insights

Predicting complications in elderly patients undergoing percutaneous coronary intervention (PCI) is crucial. Factors like heart failure, diabetes, and atrial fibrillation (AF) predict mortality and major adverse cardiac events (MACE) after PCI.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Geriatric Medicine

Background:

  • Elderly patients represent a growing population undergoing percutaneous coronary intervention (PCI).
  • Risk stratification in this demographic is essential for optimizing outcomes.
  • Predictors of mortality and major adverse cardiac events (MACE) in this group require further elucidation.

Purpose of the Study:

  • To identify predictors of in-hospital and long-term mortality.
  • To identify predictors of major adverse cardiac events (MACE) in elderly patients (> or = 80 years) undergoing PCI.

Main Methods:

  • Retrospective analysis of clinical and interventional characteristics.
  • Inclusion of 73 patients aged 80 years and older.
  • Primary endpoints included in-hospital and long-term mortality, and a composite MACE endpoint.

Main Results:

  • In-hospital mortality was 16.4% and in-hospital MACE was 19%.
  • Long-term mortality was 11.3% and long-term MACE was 16.4%.
  • Key predictors identified included Killip Class III-IV, heart failure, cardiogenic shock, TIMI flow 0-2, diabetes mellitus, contrast nephropathy, and atrial fibrillation (AF).

Conclusions:

  • Identification of specific clinical factors can aid in predicting complications.
  • These predictors may assist in risk-stratifying elderly patients undergoing PCI.
  • Proactive management based on these predictors could improve patient outcomes.
Abstract

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