• Kevin S Shah, Nicholas A Marston, Christian Mueller, Sean-Xavier Neath, Robert H Christenson, James McCord, Richard M Nowak, Gary M Vilke, Lori B Daniels, Judd E Hollander, Fred S Apple, Chad M Cannon, John Nagurney, Donald Schreiber, Christopher deFilippi, Christopher J Hogan, Deborah B Diercks, Alexander Limkakeng, Inder S Anand, Alan H B Wu, Paul Clopton, Allan S Jaffe, W Frank Peacock, and Alan S Maisel.
• Department of Internal Medicine, University of California, San Diego, CA.
• Acad Emerg Med. 2015 May 1;22(5):554-63.

ObjectivesChest pain is a common complaint to emergency departments (EDs) and clinical risk factors are used to predict which patients are at risk for worse outcomes and mortality. The goal was to assess the novel biomarker midregional proadrenomedullin (MR-proADM) in prediction of mortality and major adverse cardiac events (MACE).MethodsThis was a subanalysis of the CHOPIN study, a 16-center prospective trial that enrolled 2,071 patients presenting with chest pain within 6 hours of onset. The primary endpoint was 6-month all-cause mortality and the secondary endpoint was 30-day and 6-month MACE: ED visits or hospitalization for acute myocardial infarction, unstable angina, reinfarction, revascularization, and heart failure.ResultsMR-proADM performed similarly to troponin (cTnI; c-statistic = 0.845 and 0.794, respectively) for mortality prediction in all subjects and had similar results in those with noncardiac diagnoses. MR-proADM concentrations were stratified by decile, and the cohort in the top decile had a 9.8% 6-month mortality risk versus 0.9% risk for those in the bottom nine deciles (p < 0.0001). MR-proADM, history of coronary artery disease (CAD), and hypertension were predictors of short-term MACE, while history of CAD, hypertension, cTnI, and MR-proADM were predictors of long-term MACE.ConclusionsIn patients with chest pain, MR-proADM predicts mortality and MACE in all-comers with chest pain and has similar prediction in those with a noncardiac diagnosis. This exploratory analysis is primarily hypotheses-generating and future prospective studies to identify its utility in risk stratification should be considered.© 2015 by the Society for Academic Emergency Medicine.

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