Modified HEART score to improve ruling out acute coronary syndrome at the emergency department

Eleonora Tubertini1, Mario Luca Morieri2, Gabriele Farina3

  • 1Emergency Department, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Via P. Albertoni 15, 40138, Bologna, Italy. eleonora.tubertini@aosp.bo.it.

Insights

The modified HEART (mHEART) score best identifies patients with chest pain in the emergency department who can be safely discharged. This score, when combined with high-sensitivity troponin testing, improves patient management and reduces major cardiovascular events.

Area of Science:

  • Emergency Medicine
  • Cardiology
  • Clinical Risk Stratification

Background:

  • Risk scores like the HEART score aid in safely discharging emergency department (ED) patients with chest pain.
  • A modified and simplified HEART score (mHEART) has been developed to enhance this process.

Purpose of the Study:

  • To prospectively validate the mHEART score's performance.
  • To compare the mHEART score against the classic HEART and GRACE scores for chest pain evaluation.

Main Methods:

  • A prospective observational study enrolled adult patients with non-traumatic chest pain in the ED.
  • GRACE, classic HEART, and mHEART scores were calculated for all patients.
  • The primary outcome was major cardiovascular events and overall mortality within 90 days (MACE).

Main Results:

  • The mHEART score demonstrated superior performance with a higher Area Under the Curve (AUC) of 0.891 compared to classic HEART (0.884) and GRACE (0.804).
  • mHEART identified 51% of patients at low risk with a 1.0% MACE incidence, similar to the classic HEART score (48% low risk, 1.0% MACE).
  • Combining mHEART with high-sensitivity troponin testing allowed safe discharge for nearly 50% of patients with a 0.5% MACE miss-rate.

Conclusions:

  • The mHEART score exhibits the best performance for ruling out acute coronary syndrome (ACS) in ED chest pain patients.
  • Integrating the mHEART score into current high-sensitivity troponin algorithms can optimize the management of chest pain presentations.
Abstract

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