Diagnostic Performance of Serial High-Sensitivity Cardiac Troponin Measurements in the Emergency Setting

Peter A Kavsak1, Mark K Hewitt2, Shawn E Mondoux2

  • 1Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada.

Insights

Serial high-sensitivity cardiac troponin I (hsTnI) testing aids in diagnosing myocardial infarction (MI). The COMPASS-MI algorithm showed the highest sensitivity in identifying MI or death within 30 days in emergency department patients.

Area of Science:

  • Cardiology
  • Emergency Medicine
  • Diagnostic Testing

Background:

  • Serial high-sensitivity cardiac troponin (hsTn) testing is crucial for diagnosing acute myocardial infarction (MI) in emergency departments (EDs).
  • Several algorithms exist for interpreting hsTnI results, but their comparative performance in diverse ED populations is not fully established.

Purpose of the Study:

  • To evaluate and compare the diagnostic accuracy of three major hsTnI algorithms (ESC, High-STEACS, COMPASS-MI) for predicting 30-day MI or death.
  • To determine if any algorithm surpasses established sensitivity (≥99.0%) and specificity (≥90.0%) benchmarks in two distinct Canadian ED cohorts.

Main Methods:

  • Retrospective analysis of two Canadian ED cohorts (undifferentiated and ACS-symptomatic) with serial hsTnI measurements.
  • Physicians were blinded to hsTnI results during clinical management.
  • Diagnostic estimates (sensitivity, specificity) for MI/death at 30 days were calculated for each algorithm and compared to benchmarks.

Main Results:

  • The COMPASS-MI algorithm demonstrated the highest sensitivity (97.8% in Cohort-1, 98.6% in Cohort-2) for the 30-day MI/death outcome in both cohorts.
  • Only the ESC and COMPASS-MI algorithms met the specificity benchmark (≥90.0%) in Cohort-2.
  • No algorithm achieved the ≥99.0% sensitivity benchmark for 30-day MI or death.

Conclusions:

  • The COMPASS-MI algorithm offers the highest sensitivity for ruling out MI/death using serial hsTnI testing in ED settings.
  • Patient selection significantly impacts specificity, and no current algorithm consistently meets the highest sensitivity benchmark for early MI detection.

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