HEART versus GRACE Score in Predicting the Outcomes of Patients with Acute Coronary Syndrome; a Systematic Review and

Ali Kabiri1, Pantea Gharin1, Seyed Ali Forouzannia2

  • 1Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran.

Insights

The Global Registry of Acute Coronary Events (GRACE) and History, ECG, Age, Risk Factors, and Troponin (HEART) scores show low specificity for predicting major adverse cardiovascular events (MACE) and acute myocardial infarction (AMI) in acute coronary syndrome (ACS) patients. However, their high sensitivity makes them useful for ruling out adverse outcomes in low-risk ACS patients.

Area of Science:

  • Cardiology
  • Clinical Risk Prediction
  • Systematic Review and Meta-Analysis

Background:

  • Ischemic heart disease management relies on accurate outcome prediction.
  • Global Registry of Acute Coronary Events (GRACE) and History, ECG, Age, Risk Factors, and Troponin (HEART) scores are common risk stratification tools for acute coronary syndrome (ACS).
  • Comparative analysis of GRACE and HEART scores for ACS patient outcomes is crucial.

Purpose of the Study:

  • To systematically review and meta-analyze the predictive value of GRACE and HEART scores in ACS patients.
  • To compare the performance of GRACE and HEART scores in predicting major adverse cardiovascular events (MACE), acute myocardial infarction (AMI), and all-cause mortality.
  • To evaluate the utility of these scores as risk assessment tools in ACS.

Main Methods:

  • Systematic search of Medline, Embase, Web of Science, and Scopus databases until September 2022.
  • Inclusion of studies directly comparing GRACE and HEART scores for ACS outcome prediction.
  • Categorization of GRACE score cut-offs (≤100 and >100) and HEART score cut-offs (<4, =4, and >4).
  • Analysis of sensitivity and specificity for predicting MACE, AMI, and all-cause mortality.

Main Results:

  • 25 articles were included in the meta-analysis.
  • Both GRACE and HEART scores demonstrated low specificity for predicting MACE and AMI across various cut-offs.
  • High sensitivity was observed for both scores in predicting MACE and AMI.
  • Neither score proved to be a suitable predictor of all-cause mortality.

Conclusions:

  • GRACE and HEART scores exhibit low specificity but acceptable sensitivity for predicting MACE and AMI in ACS patients.
  • These scores are more effective as 'rule-out' tools to identify low-risk ACS patients.
  • Further research may be needed to refine risk prediction models for ACS, particularly for all-cause mortality.
Abstract

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