Validation of a 0/1 h Algorithm for Rapid Diagnosis of Myocardial Infarction Using a High-Sensitivity Troponin I

Jonas Lehmacher1,2,3, Betül Toprak1,2,3, Nils Arne Sörensen1,2

  • 1Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Clinical Chemistry
|March 19, 2023
PubMed

Insights

The 0/1 hour algorithm using high-sensitivity cardiac troponin (hs-cTn) safely rules out myocardial infarction (MI) and provides prognostic value for patients. This rapid assessment aids in efficient MI diagnosis and long-term risk stratification.

Area of Science:

  • Cardiology
  • Biomarkers
  • Diagnostic Accuracy

Background:

  • Current guidelines advocate 0/1 hour algorithms with high-sensitivity cardiac troponin (hs-cTn) for rapid myocardial infarction (MI) diagnosis.
  • Limited data exists for certain hs-cTn assays, necessitating further evaluation.

Purpose of the Study:

  • To assess the diagnostic performance of the European Society of Cardiology (ESC) 0/1 hour algorithm using the Access hs-cTnI assay.
  • To evaluate the prognostic value of the Access hs-cTnI assay for predicting long-term adverse cardiovascular events.

Main Methods:

  • Consecutive patients with suspected MI had Access hs-cTnI measured at presentation and 1 hour.
  • The ESC 0/1 hour algorithm was applied for MI diagnosis, and diagnostic parameters were calculated.
  • Prognostic utility was assessed for the composite endpoint of all-cause mortality and incident MI at 3 years.

Main Results:

  • The 0/1 hour algorithm safely ruled out MI in 44.5% of patients (sensitivity 97.7%, NPV 99.3%).
  • Rule-in capacity was moderate (specificity 88.0%, PPV 50.8%).
  • The assay demonstrated strong 3-year prognostic value for mortality and MI in the observe and rule-in groups, even after risk factor adjustment.

Conclusions:

  • The ESC 0/1 hour algorithm with Access hs-cTnI enables safe and efficient triage for suspected MI.
  • This approach offers significant prognostic utility for identifying patients at risk for adverse events up to 3 years post-evaluation.
Abstract

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