Comparing TIMI, HEART, and GRACE Risk Scores to Predict Angiographic Severity of Coronary Artery Disease and 30-Day

Necmiye Yalcin Ocak1, Murat Yesilaras2, Baris Kilicaslan3

  • 1Emergency Physician, Department of Emergency, University of Health Sciences, Tepecik Training and Research Hospital, Izmir, Turkey.

PubMed

Insights

The HEART and GRACE risk scores better predict major adverse cardiac events (MACE) in non-ST-segment elevation acute coronary syndrome (NSTEACS) patients than the TIMI score. HEART scores are most reliable for excluding NSTEACS in low-risk individuals.

Area of Science:

  • Cardiology
  • Emergency Medicine
  • Clinical Risk Stratification

Background:

  • Acute coronary syndromes (ACS) present broadly, complicating diagnosis.
  • Early risk stratification is crucial for optimal patient care in ACS.
  • This study evaluates risk scores for non-ST-segment elevation ACS (NSTEACS) in the emergency department (ED).

Purpose of the Study:

  • To assess the predictive accuracy of TIMI, HEART, and GRACE risk scores for major adverse cardiac events (MACE) in NSTEACS patients.
  • To evaluate the ability of these risk scores to predict the severity of coronary artery disease (CAD).
  • To identify independent predictors of MACE in NSTEACS.

Main Methods:

  • Prospective, observational, single-center study of 357 NSTEACS patients.
  • Calculation of TIMI, HEART, and GRACE risk scores using recorded patient data.
  • Coronary angiograms were evaluated to determine the Gensini score for CAD severity.

Main Results:

  • The 30-day MACE rate was 25.5%.
  • HEART and GRACE scores demonstrated better MACE prediction than TIMI.
  • Age, Mean Arterial Pressure (MAP), and High-Sensitive Troponin I were significant predictors of MACE.

Conclusions:

  • GRACE, HEART, and TIMI risk scores show similar ability to predict severe CAD in NSTEACS.
  • HEART and GRACE scores are superior to TIMI for predicting MACE in NSTEACS.
  • The HEART score is the most reliable for ruling out NSTEACS in low-risk patients.
Abstract

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