BACKGROUND: C-terminal portion of provasopressin (copeptin) has recently been discussed as a novel biomarker for the early rule-out of acute myocardial infarction (AMI). The aim is to investigate the prognostic value of copeptin with regard to mortality and morbidity in patients with symptomatic coronary artery disease (CAD). METHODS: We consecutively recruited a cath lab cohort of 2,700 patients (74.1% male; AMI, n=1316; stable angina pectoris, n=1384) presenting to the emergency department of a large primary care hospital. All patients received coronary angiography. Copeptin and other laboratory markers were sampled at the time of presentation or in the cath lab. Clinical outcomes were assessed by hospital chart analysis and telephone interviews. 2621 patients (97.1%) have been successfully followed-up at three months. The primary endpoint was a combined endpoint of rehospitalization for cardiovascular events, stroke, and all-cause death. RESULTS: Using receiver operating characteristic curves, we calculated areas under the curve of 0.703 (95%confidence interval(CI):0.681-0.725) for the composite endpoint after three months (myocardial reinfarction, stroke, all-cause death;n=183), and 0.770 (95%CI:0.736-0.803) for all-cause death (n=76) for copeptin. A cutoff value of 21.6 pmol/L for the composite endpoint yielded a sensitivity of 56.3% and a specificity of 78.6%. The predictive performance of copeptin was independent of other clinical variables or cardiovascular risk factors, and superior to that of troponin I or other cardiac biomarkers (all:P<0.0001). CONCLUSIONS: Copeptin may help in the prediction of major adverse cardiovascular events in patients with symptomatic CAD. Further studies should substantiate the findings and support the suggested cutoff value of the present study.
BACKGROUND: C-terminal portion of provasopressin (copeptin) has recently been discussed as a novel biomarker for the early rule-out of acute myocardial infarction (AMI). The aim is to investigate the prognostic value of copeptin with regard to mortality and morbidity in patients with symptomatic coronary artery disease (CAD). METHODS: We consecutively recruited a cath lab cohort of 2,700 patients (74.1% male; AMI, n=1316; stable angina pectoris, n=1384) presenting to the emergency department of a large primary care hospital. All patients received coronary angiography. Copeptin and other laboratory markers were sampled at the time of presentation or in the cath lab. Clinical outcomes were assessed by hospital chart analysis and telephone interviews. 2621 patients (97.1%) have been successfully followed-up at three months. The primary endpoint was a combined endpoint of rehospitalization for cardiovascular events, stroke, and all-cause death. RESULTS: Using receiver operating characteristic curves, we calculated areas under the curve of 0.703 (95%confidence interval(CI):0.681-0.725) for the composite endpoint after three months (myocardial reinfarction, stroke, all-cause death;n=183), and 0.770 (95%CI:0.736-0.803) for all-cause death (n=76) for copeptin. A cutoff value of 21.6 pmol/L for the composite endpoint yielded a sensitivity of 56.3% and a specificity of 78.6%. The predictive performance of copeptin was independent of other clinical variables or cardiovascular risk factors, and superior to that of troponin I or other cardiac biomarkers (all:P<0.0001). CONCLUSIONS:Copeptin may help in the prediction of major adverse cardiovascular events in patients with symptomatic CAD. Further studies should substantiate the findings and support the suggested cutoff value of the present study.
Authors: Marzena Zurek; Micha T Maeder; Martin H Brutsche; Adrian Lüthi; Raphael Twerenbold; Michael Freese; Hans Rickli; Christian Mueller Journal: Eur J Appl Physiol Date: 2014-01-05 Impact factor: 3.078
Authors: Sebastian Johannes Reinstadler; Gert Klug; Hans-Josef Feistritzer; Bernhard Metzler; Johannes Mair Journal: Dis Markers Date: 2015-04-16 Impact factor: 3.434
Authors: Annarein J C Kerbert; Len Verbeke; Fang W T Chiang; Wim Laleman; Johan J van der Reijden; Wim van Duijn; Frederik Nevens; Ron Wolterbeek; Bart van Hoek; Hein W Verspaget; Minneke J Coenraad Journal: PLoS One Date: 2015-09-17 Impact factor: 3.240
Authors: Sabine Stauga; Andreas Hahn; Norbert W Brattig; Johanna Fischer-Herr; Stephan Baldus; Gerd D Burchard; Jakob P Cramer Journal: Malar J Date: 2013-07-16 Impact factor: 2.979
Authors: Antoine Kossaify; Annie Garcia; Sami Succar; Antoine Ibrahim; Nicolas Moussallem; Mikhael Kossaify; Gilles Grollier Journal: Biomark Insights Date: 2013-09-03