Immediate Rule-Out of Acute Myocardial Infarction Using Electrocardiogram and Baseline High-Sensitivity Troponin I

Johannes Tobias Neumann1,2, Nils Arne Sörensen3, Francisco Ojeda3

  • 1Department of General and Interventional Cardiology, University Heart Center Hamburg Eppendorf, Hamburg, Germany; j.neumann@uke.de.

Clinical Chemistry
|December 2, 2016
PubMed

Insights

A single high-sensitivity troponin I measurement and low-risk ECG can safely rule out acute myocardial infarction (AMI). This approach avoids serial troponin testing, improving efficiency in diagnosing chest pain patients.

Area of Science:

  • Cardiology
  • Biomarker Research
  • Emergency Medicine

Background:

  • Current guidelines for ruling out acute myocardial infarction (AMI) rely on serial high-sensitivity troponin measurements.
  • This study investigates an alternative strategy using a single troponin measurement and electrocardiogram (ECG) to expedite diagnosis.

Purpose of the Study:

  • To evaluate the performance of a single admission high-sensitivity troponin I (hs-TnI) measurement with a lower cutoff, combined with a low-risk ECG, for ruling out AMI.
  • To determine the negative predictive value (NPV) and safety of this accelerated diagnostic protocol.

Main Methods:

  • Prospective study (BACC) of 1040 patients with suspected AMI, measuring hs-TnI at admission.
  • Calculated NPV for ruling out AMI using an optimal hs-TnI cutoff (3 ng/L) and low-risk ECG.
  • Validated findings in 3566 patients from the ADAPT studies, with 6-12 month follow-up.

Main Results:

  • A single hs-TnI cutoff of 3 ng/L achieved a 99.3% NPV, ruling out 35% of non-AMI patients.
  • Combining hs-TnI with a low-risk ECG yielded a 100% NPV, ruling out 28% of patients.
  • Validation cohorts confirmed high NPV; follow-up showed low mortality in ruled-out populations.

Conclusions:

  • A single hs-TnI measurement on admission, coupled with a low-risk ECG, can safely rule out AMI.
  • This strategy potentially eliminates the need for serial troponin testing in suspected AMI cases.
Abstract

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