title: Incremental Value of Preoperative Copeptin for Predicting Myocardial Injury.
abstract: Copeptin, a novel marker of endogenous stress, has shown diagnostic and prognostic value in nonsurgical patients with a suspected coronary event. We aimed to assess the incremental value of copeptin in addition to established preoperative risk indices to predict the occurrence of postoperative myocardial injury.
  
  
  
  This secondary analysis of prospectively collected data included adults undergoing noncardiac surgery with risk factors for adverse perioperative cardiac events based on preoperative risk stratification. We examined preoperative copeptin in patients without elevated preoperative troponin and its association with myocardial injury by receiver operator characteristic curves, logistic regression, and net reassignment indices.
  
  
  
  Of the 190 patients included, 33 (17.4%) experienced myocardial injury within 48 hours, and 17 (8.9%) experienced cardiac death and/or major adverse cardiac events within the first postoperative year. Preoperative copeptin showed an area under the receiver operator characteristic curve of .66 (95% confidence interval, .55-.76) for myocardial injury and an optimal cutoff of 9.6 pmol/L. This cutoff was an independent predictor of myocardial injury, with an odds ratio of 4.67 (95% confidence interval, 2.06-11.19) when adjusted for age, sex, and the revised cardiac risk index. The net reassignment improvement for myocardial injury was between 39% and 50% for both events and nonevents when adding copeptin to established preoperative risk indices. No significant difference in major adverse cardiac event and/or cardiac death was observed.
  
  
  
  Copeptin (≥9.6 pmol/L) was associated with significantly higher rates of myocardial injury and improved risk stratification in patients scheduled for noncardiac surgery with nonelevated preoperative troponin.
authors.affiliation: From the *Department for Anesthesia, Surgical Intensive Care, Prehospital Emergency Medicine, and Pain Therapy, University Hospital Basel, Basel, Switzerland; †Department of Cardiology, University Hospital Basel, Basel, Switzerland; ‡Department of Anesthesiology, University of Basel Medical School, Basel, Switzerland; §Department of Anesthesiology, Cantonal Hospital St Gallen, St Gallen, Switzerland; and ‖Institute of Anesthesiology and Intensive Care, Hirslanden Clinic, Zurich, Switzerland.
authors.forename: Eckhard
authors.initials: E
authors.lastname: Mauermann
authors.forename: Daniel
authors.initials: D
authors.lastname: Bolliger
authors.forename: Esther
authors.initials: E
authors.lastname: Seeberger
authors.forename: Christian
authors.initials: C
authors.lastname: Puelacher
authors.forename: Sydney
authors.initials: S
authors.lastname: Corbiere
authors.forename: Miodrag
authors.initials: M
authors.lastname: Filipovic
authors.forename: Manfred
authors.initials: M
authors.lastname: Seeberger
authors.forename: Christian
authors.initials: C
authors.lastname: Mueller
authors.forename: Giovanna
authors.initials: G
authors.lastname: Lurati Buse
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D019540:Area Under Curve; D015415:Biomarkers / Q000097:blood; D016009:Chi-Square Distribution; D018572:Disease-Free Survival; D005260:Female; D006020:Glycopeptides / Q000097:blood*; D006331:Heart Diseases / Q000097:blood / Q000175:diagnosis / Q000209:etiology* / Q000401:mortality; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D011237:Predictive Value of Tests; D011300:Preoperative Care; D016016:Proportional Hazards Models; D012372:ROC Curve; D018570:Risk Assessment; D012307:Risk Factors; D013514:Surgical Procedures, Operative / Q000009:adverse effects* / Q000401:mortality; D013557:Switzerland; D013997:Time Factors; D016896:Treatment Outcome; D020107:Troponin T / Q000097:blood; D015854:Up-Regulation
chemical_list: D015415:Biomarkers; D006020:Glycopeptides; D020107:Troponin T; C048197:copeptins