Prognostic impact of copeptin in pulmonary embolism: a multicentre validation study

Eur Respir J. 2018 Apr 19;51(4):1702037. doi: 10.1183/13993003.02037-2017. Print 2018 Apr.

Abstract

To externally validate the prognostic impact of copeptin, either alone or integrated in risk stratification models, in pulmonary embolism (PE), we performed a post hoc analysis of 843 normotensive PE patients prospectively included in three European cohorts.Within the first 30 days, 21 patients (2.5%, 95% CI 1.5-3.8) had an adverse outcome and 12 (1.4%, 95% CI 0.7-2.5) died due to PE. Patients with copeptin ≥24 pmol·L-1 had a 6.3-fold increased risk for an adverse outcome (95% CI 2.6-15.5, p<0.001) and a 7.6-fold increased risk for PE-related death (95% CI 2.3-25.6, p=0.001). Risk classification according to the 2014 European Society of Cardiology (ESC) guideline algorithm identified 248 intermediate-high-risk patients (29.4%) with 5.6% (95% CI 3.1-9.3) at risk of adverse outcomes. A stepwise biomarker-based risk assessment strategy (based on high-sensitivity troponin T, N-terminal pro-brain natriuretic peptide and copeptin) identified 123 intermediate-high-risk patients (14.6%) with 8.9% (95% CI 4.5-15.4) at risk of adverse outcomes. The identification of patients at higher risk was even better when copeptin was measured on top of the 2014 ESC algorithm in intermediate-high-risk patients (adverse outcome OR 11.1, 95% CI 4.6-27.1, p<0.001; and PE-related death OR 13.5, 95% CI 4.2-43.6, p<0.001; highest risk group versus all other risk groups). This identified 85 patients (10.1%) with 12.9% (95% CI 6.6-22.0) at risk of adverse outcomes and 8.2% (95% CI 3.4-16.2) at risk of PE-related deaths.Copeptin improves risk stratification of normotensive PE patients, especially when identifying patients with an increased risk of an adverse outcome.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Algorithms
  • Biomarkers / blood
  • Female
  • Glycopeptides / blood*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Prognosis
  • Prospective Studies
  • Pulmonary Embolism / blood*
  • Pulmonary Embolism / diagnosis*
  • ROC Curve
  • Risk Assessment / methods*
  • Risk Factors

Substances

  • Biomarkers
  • Glycopeptides
  • copeptins