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August 22, 2025BMC Emergency MedicineOpen Access

Improving chest pain risk assessment: validation of HEART, TIMI, GRACE, EDACS-ADP, and HET for MACE prediction in the emergency department

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Authors

MIMehdi Nasr IsfahaniHMH MohseniENElahe Nasri Nasrabadi

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Overview

Retrospective cohort study validates HEART, TIMI, HET, and others for predicting MACE in emergency patients, indicating potential for improved discharge decisions.

Key Points

  • HEART score showed highest AUC of 0.925 and sensitivity of 97.1% for predicting MACE, indicating its effectiveness in risk assessment.
  • Among 274 patients, 24.8% experienced MACE within 6 weeks, underscoring the importance of timely risk stratification in chest pain cases.
  • Receiver operating characteristic (ROC) analysis demonstrated the diagnostic performance of risk scores, crucial for guiding clinical decisions in emergency settings.
  • Findings support local adaptation of HEART and TIMI in ED protocols, with a call for multicenter studies for further validation and broader application.

Cite This Study

Isfahani et al. (2025) studied this question.

synapsesocial.com/papers/68af76a77567bf4f94feee7ahttps://doi.org/10.1186/s12873-025-01327-4
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Healthcare practitioners' use of the HEART score for risk stratification and management of adults with acute chest pain presenting to the emergency department: A scoping review2026
  2. 2Clinical Decision Rules for Heart Failure Management in Acute Emergency Department Settings2025
  3. 3Clinical Decision Rules for Heart Failure Management in Acute Emergency Department Settings2025
  4. 4Performance of the SVEAT (Symptoms, Vascular Disease History, Electrocardiography, Age, and Troponin) score for predicting 90-day major adverse cardiac events in patients with acute chest pain2026
  5. 5Analysis of patients presenting with chest pain in the emergency department using laboratory parameters and scoring in the prediction of acute coronary syndrome hospitalization2025