A comparative analysis of risk stratification tools for emergency department patients with chest pain

Ellen Burkett, Thomas Marwick, Ogilvie Thom

  • 1School of Public Health, Faculty of Health, Queensland University of Technology, Brisbane, Australia. anne-maree.kelly@wh.org.au.

Insights

The Thrombolysis in Myocardial Infarction risk score (TIMI RS) and Goldman risk score outperformed the Heart Foundation of Australia (HFA) tool for predicting major adverse cardiac events (MACE) in emergency department chest pain patients.

Area of Science:

  • Emergency Medicine
  • Cardiology
  • Clinical Risk Assessment

Background:

  • Effective risk stratification of emergency department (ED) patients presenting with chest pain is crucial for appropriate patient disposition.
  • Several risk stratification tools exist, but their comparative performance in undifferentiated ED chest pain populations requires evaluation.
  • This study compares the predictive performance of three established risk assessment tools for major adverse cardiac events (MACE).

Purpose of the Study:

  • To compare the predictive performance of the National Heart Foundation of Australia (HFA) risk assessment tool, the Goldman risk score, and the Thrombolysis in Myocardial Infarction risk score (TIMI RS) for MACE in ED patients with chest pain.

Main Methods:

  • A prospective observational study involving 281 adult patients (≥30 years) presenting to the ED with non-traumatic chest pain and no clear non-ischemic cause.
  • Data collected included demographics, clinical information, and investigation findings.
  • The primary outcome was the occurrence of MACE within 30 days, analyzed using receiver operator curves (ROC) to compare the predictive performance of the risk tools.

Main Results:

  • The overall rate of MACE in the study population was 14.1%.
  • The Area Under the Curve (AUC) for MACE prediction was 0.54 for HFA, 0.71 for TIMI RS, and 0.67 for the Goldman score.
  • The differences in predictive ability among the tools were statistically significant (chi2(3) = 67.21, p < 0.0001).

Conclusions:

  • The TIMI RS and Goldman risk score demonstrated superior predictive performance compared to the HFA tool in this ED chest pain cohort.
  • Challenges were encountered in selecting optimal cutoffs for sensitivity and specificity for all evaluated tools.
  • There is a critical need for the development and validation of risk stratification tools specifically designed for the ED chest pain population.
Abstract

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