The potential of optimizing prehospital triage of patients with suspected acute myocardial infarction using high-sensitivity cardiac troponin T and copeptin

Biomarkers. 2017 May-Jun;22(3-4):351-360. doi: 10.1080/1354750X.2016.1265008. Epub 2016 Dec 12.

Abstract

Purpose: In patients with a suspected acute myocardial infarction (AMI), to evaluate the potential for early triage based on measurement of high-sensitivity cardiac troponin T (hs-cTnT) and copeptin in blood samples collected in the prehospital phase.

Materials and methods: In this retrospective study, we measured hs-cTnT and copeptin in blood samples collected in the ambulance form 962 patients with suspected AMI. The diagnostic accuracy was estimated by receiver-operating characteristic (ROC) curve area under the curve (AUC) for both biomarkers and a combined model. Multivariable Cox regression modelling was used to estimate the predictive value of both biomarkers.

Results: In total, 178 (19%) cases had AMI. The AUC for hs-cTnT was 0.81. Adding copeptin increased the AUC to 0.85 (p = 0.004) and the combined model allowed a prehospital rule-out of 45% of cases without AMI (negative predictive value, NPV 98%). Both biomarkers are highly predictive of outcome.

Conclusions: A future application of hs-cTnT and copeptin measurement, performed already in the prehospital phase, could potentially improve the prehospital diagnostic and prognostic classification of patients with a suspected AMI.

Keywords: Acute coronary syndrome; biomarkers; copeptin; diagnosis; prehospital emergency care; prognosis; troponin.

MeSH terms

  • Aged
  • Area Under Curve
  • Biomarkers / blood
  • Female
  • Glycopeptides / blood*
  • Humans
  • Male
  • Middle Aged
  • Myocardial Infarction / blood
  • Myocardial Infarction / diagnosis*
  • Predictive Value of Tests
  • ROC Curve
  • Retrospective Studies
  • Treatment Outcome
  • Troponin T / blood*

Substances

  • Biomarkers
  • Glycopeptides
  • Troponin T
  • copeptins