Identifying patients for early discharge: performance of decision rules among patients with acute chest pain

Simon A Mahler1, Chadwick D Miller, Judd E Hollander

  • 1Wake Forest School of Medicine, Winston-Salem, NC, USA.

Insights

The HEART score, combined with serial troponin tests, effectively identifies acute coronary syndrome patients for early discharge, demonstrating high sensitivity and improved clinical utility compared to other methods.

Area of Science:

  • Cardiology
  • Emergency Medicine
  • Diagnostic Accuracy

Background:

  • Acute chest pain evaluation relies on decision rules like the HEART score and North American Chest Pain Rule (NACPR) to facilitate early patient discharge.
  • These tools aim to reduce the need for extensive cardiac testing in low-risk individuals.

Purpose of the Study:

  • To compare the clinical utility of the HEART score and NACPR when integrated with serial troponin measurements for identifying acute chest pain patients suitable for early discharge.
  • To assess the sensitivity of these strategies for diagnosing acute coronary syndrome (ACS) within 30 days.

Main Methods:

  • A secondary analysis of 1005 patients from the Myeloperoxidase In the Diagnosis of Acute coronary syndromes Study (MIDAS) was performed.
  • Compared unstructured assessment, NACPR, and HEART score, each combined with 0 and 3-hour troponin levels, for early discharge eligibility and 30-day ACS sensitivity.

Main Results:

  • The HEART score identified 20% of patients for early discharge with 99% sensitivity for ACS.
  • The North American Chest Pain Rule identified 4.4% for early discharge with 100% sensitivity.
  • The HEART score demonstrated significant net reclassification improvement over unstructured assessment and NACPR.

Conclusions:

  • The HEART score, utilizing serial troponin measurements at 0 and 3 hours, effectively identifies a significant proportion of patients for early discharge.
  • This approach maintains a high sensitivity for detecting acute coronary syndrome, enhancing diagnostic efficiency in the emergency department.
Abstract

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