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A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

Early Predictors of In-Hospital Mortality and Cardiac Dysfunction in Patients with ST-Segment Elevation Myocardial

Corina Cinezan1,2, Alexandra Manuela Buzle1,2,3, Camelia Bianca Rus1,2,3

  • 1Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania.

Journal of Clinical Medicine
|May 13, 2026
PubMed

Insights

Predictors of mortality in ST-segment elevation myocardial infarction (STEMI) include left ventricular dysfunction, anemia, and renal impairment. Early identification of these factors improves risk stratification for STEMI patients.

Area of Science:

  • Cardiology
  • Internal Medicine
  • Critical Care Medicine

Background:

  • ST-segment elevation myocardial infarction (STEMI) continues to pose significant health risks despite advancements in treatment.
  • Effective risk stratification is crucial for managing STEMI patients and improving outcomes.
  • Identifying early predictors of adverse events in STEMI is essential.

Purpose of the Study:

  • To identify independent predictors of in-hospital mortality in patients with STEMI.
  • To assess the association of left ventricular ejection fraction (LVEF) and ischemic mitral regurgitation (IMR) with adverse outcomes.
  • To evaluate the role of clinical, laboratory, and echocardiographic variables in predicting mortality.

Main Methods:

  • Retrospective analysis of 512 STEMI patients undergoing revascularization within 6 hours of symptom onset.
  • Multivariable logistic regression used to identify independent predictors of in-hospital mortality.
  • Echocardiographic and laboratory data, including hemoglobin and glomerular filtration rate, were analyzed.

Main Results:

  • In-hospital mortality was observed in 9.4% of patients.
  • Reduced LVEF (<40%), moderate-to-severe IMR, lower hemoglobin, and reduced glomerular filtration rate were independent predictors of mortality.
  • The predictive model demonstrated good discrimination with an AUC of 0.88.

Conclusions:

  • Left ventricular dysfunction, IMR, anemia, and renal impairment are significant predictors of in-hospital mortality in STEMI.
  • Integrating echocardiographic and laboratory data can enhance early risk stratification for STEMI patients.
  • These findings can guide clinical decision-making and improve patient management.

Keywords:
IMRST-segment elevation myocardial infarctioncomplete revascularizationin-hospital mortalityleft ventricular ejection fractionprimary percutaneous coronary interventionrisk predictors

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