Determinants of In-hospital Death in Non-ST-segment Elevation Myocardial Infarction with Triple-vessel Disease

Yuki Tokunaga1, Kenichi Sakakura1, Hiroyuki Jinnouchi1

  • 1Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan.

PubMed

Insights

In-hospital death in non-ST-segment elevation myocardial infarction (NSTEMI) with triple-vessel disease (TVD) undergoing PCI was linked to cardiopulmonary arrest. Lower systolic blood pressure and eGFR at admission were also associated with mortality in these high-risk patients.

Area of Science:

  • Cardiovascular Medicine
  • Interventional Cardiology
  • Clinical Outcomes Research

Background:

  • Triple-vessel disease (TVD) is a significant prognostic factor in acute myocardial infarction.
  • Limited research exists on risk factors for in-hospital death specifically in non-ST-segment elevation myocardial infarction (NSTEMI) with TVD.
  • Understanding these factors is crucial for improving outcomes in high-risk NSTEMI patients.

Purpose of the Study:

  • To identify determinants of in-hospital mortality in patients with NSTEMI and TVD.
  • To analyze risk factors in patients undergoing percutaneous coronary intervention (PCI) for culprit lesions.

Main Methods:

  • Retrospective study including 253 patients with NSTEMI and TVD.
  • Patients were divided into survivor (n=239) and in-hospital death (n=14) groups.
  • Multivariate logistic regression analysis was used to identify associated factors.

Main Results:

  • In-hospital death was associated with cardiopulmonary arrest (CPA) prior to PCI (OR 8.448).
  • Higher systolic blood pressure (SBP) at admission was inversely associated with in-hospital death (OR 0.984).
  • Higher estimated glomerular filtration rate (eGFR) at admission was also inversely associated with in-hospital death (OR 0.966).

Conclusions:

  • Cardiopulmonary arrest before PCI, lower admission SBP, and lower eGFR are key factors associated with in-hospital death in NSTEMI patients with TVD undergoing PCI.
  • Recognizing these high-risk features is essential for targeted interventions and improved clinical outcomes.

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