ERJ Open Research (Dec 2020)

High-sensitivity troponin I for risk stratification in normotensive pulmonary embolism

  • Matthias Ebner,
  • Niklas Guddat,
  • Karsten Keller,
  • Marie Christine Merten,
  • Markus H. Lerchbaumer,
  • Gerd Hasenfuß,
  • Stavros V. Konstantinides,
  • Mareike Lankeit

DOI
https://doi.org/10.1183/23120541.00625-2020
Journal volume & issue
Vol. 6, no. 4

Abstract

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While numerous studies have confirmed the prognostic role of high-sensitivity troponin T (hsTnT) in pulmonary embolism (PE), high-sensitivity troponin I (hsTnI) is inappropriately studied. This study aimed to investigate the prognostic relevance of hsTnI in normotensive PE, establish the optimal cut-off value for risk stratification and to compare the prognostic performances of hsTnI and hsTnT. Based on data from 459 consecutive PE patients enrolled in a single-centre registry, receiver operating characteristic analysis was used to identify an optimal hsTnI cut-off value for prediction of in-hospital adverse outcomes (PE-related death, cardiopulmonary resuscitation or vasopressor treatment) and all-cause mortality. Patients who suffered an in-hospital adverse outcome (4.8%) had higher hsTnI concentrations compared with those with a favourable clinical course (57 (interquartile range (IQR) 22–197) versus 15 (IQR 10–86) pg·mL−1, p=0.03). A hsTnI cut-off value of 16 ng·mL−1 provided optimal prognostic performance and predicted in-hospital adverse outcomes (OR 6.5, 95% CI 1.9–22.4) and all-cause mortality (OR 3.7, 95% CI 1.0–13.3). Between female and male patients, no relevant differences in hsTnI concentrations (17 (IQR 10–97) versus 17 (IQR 10–92) pg·mL−1, p=0.79) or optimised cut-off values were observed. Risk stratification according to the 2019 European Society of Cardiology algorithm revealed no differences if calculated based on either hsTnI or hsTnT (p=0.68). Our findings confirm the prognostic role of hsTnI in normotensive PE. HsTnI concentrations >16 pg·mL−1 predicted in-hospital adverse outcome and all-cause mortality; sex-specific cut-off values do not seem necessary. Importantly, our results suggest that hsTnI and hsTnT can be used interchangeably for risk stratification.