Two-Hour Algorithm for Rapid Triage of Suspected Acute Myocardial Infarction Using a High-Sensitivity Cardiac

Thomas Nestelberger1,2, Jasper Boeddinghaus1,2,3, Jaimi Greenslade4,5,6

  • 1Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.

Clinical Chemistry
|October 2, 2019
PubMed

Insights

This study developed a 0/2-hour algorithm using high-sensitivity cardiac troponin I (hs-cTnI) to rapidly rule out or rule in acute myocardial infarction (AMI). The algorithm demonstrates high safety and efficacy for patient triage in emergency settings.

Area of Science:

  • Cardiology
  • Biochemistry
  • Emergency Medicine

Background:

  • Acute myocardial infarction (AMI) diagnosis relies on serial cardiac troponin measurements.
  • Early and accurate triage of patients with suspected AMI is crucial for timely treatment and resource allocation.

Purpose of the Study:

  • To derive and externally validate a 0/2-hour algorithm using the high-sensitivity cardiac troponin I (hs-cTnI)-Access assay for AMI diagnosis.
  • To assess the safety and efficacy of this algorithm in a real-world emergency department setting.

Main Methods:

  • Prospective enrollment of patients presenting with symptoms suggestive of AMI.
  • Central adjudication of final diagnosis by two independent cardiologists.
  • Measurement of hs-cTnI-Access concentrations at presentation (0-h) and after 2 hours.

Main Results:

  • The 0/2-h algorithm successfully ruled out AMI in 55% of the derivation cohort (NPV 99.8%) and 77.9% in the validation cohort (NPV 99.8%).
  • The algorithm ruled in AMI in 30% of the derivation cohort (PPV 73%) and 5.8% in the validation cohort (PPV 77%).
  • High sensitivity (99.4% derivation, 97.7% validation) and specificity were observed for the algorithm's rule-out and rule-in criteria.

Conclusions:

  • The hs-cTnI-Access 0/2-h algorithm is highly safe and effective for triaging patients with suspected AMI.
  • This algorithm facilitates rapid rule-out or rule-in of AMI, potentially improving emergency department workflow.
Abstract

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