Simplified Predictive Instrument to Rule Out Acute Coronary Syndromes in a High-Risk Population

Alexander C Fanaroff1, Ryan D Schulteis2, Karen S Pieper3

  • 1Division of Cardiology, Duke University Medical Center, Durham, NC (A.C.F., K.N.).

Insights

A new risk strategy safely identifies chest pain patients with cardiac risk factors for early emergency department release. This approach uses cardiac troponin levels and traditional risk factors, showing high negative predictive value.

Area of Science:

  • Cardiology
  • Emergency Medicine
  • Biomarker Research

Background:

  • Diagnostic protocols for early emergency department (ED) release of low-risk chest pain patients are not well-established for older adults or those with cardiac risk factors.
  • Current protocols may not adequately address the complexities of patients with traditional cardiac risk factors.

Purpose of the Study:

  • To evaluate a novel risk classification scheme for identifying low-risk chest pain patients suitable for early ED discharge.
  • To compare this new scheme with a modified Accelerated Diagnostic Protocol to Assess Patients with Chest Pain Using Contemporary Troponins as the Only Biomarker (ADAPT) rule.

Main Methods:

  • Retrospective analysis of 231 consecutive patients with high-risk factors.
  • Measurement of initial and serial cardiac troponin (cTn) levels.
  • Application of a new risk classification rule (no coronary artery disease, nonischemic ECG, 2 undetectable cTn levels) and a modified ADAPT rule.

Main Results:

  • The new risk classification identified 53 (23%) low-risk patients with a 98% negative predictive value (NPV) for 30-day cardiac events.
  • The modified ADAPT rule identified 18 (8%) low-risk patients with a 100% NPV.
  • A sensitivity analysis showed that relying solely on undetectable baseline cTn maintained a high NPV.

Conclusions:

  • A less-restrictive risk classification strategy may safely identify chest pain patients with traditional cardiac risk factors for early ED release.
  • Further validation in prospective studies is warranted to confirm these findings.
Abstract

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