A multicenter comparison of established and emerging cardiac biomarkers for the diagnostic evaluation of chest pain in the emergency department.

Background: The aim of this study is to assess the role of novel biomarkers for the diagnostic evaluation of acute coronary syndrome (ACS).
Methods: Among 318 patients presenting to an emergency department with acute chest discomfort, we evaluated the diagnostic value of 5 candidate biomarkers (amino terminal pro-B-type natriuretic peptide [NT-proBNP], ischemia modified albumin, heart fatty acid binding protein, high-sensitivity troponin I [hsTnI], and unbound free fatty acids [FFAu]) for detecting ACS, comparing their results with that of conventional troponin T (cTnT).
Results: Sixty-two subjects (19.5%) had ACS. The sensitivity and negative predictive values of NT-proBNP (73%, 90%) and hsTnI (57%, 89%) were higher than that of cTnT (22%, 84%). Unbound free fatty acids had the highest overall combination of sensitivity (75%), specificity (72%), and negative predictive values (92%) of all the markers examined. A significant increase in the C-statistic for cTnT resulted from the addition of results for NT-proBNP (change 0.09, P = .001), hsTnI (change 0.13, P < .001), and FFAu (change 0.15, P < .001). In integrated discrimination improvement and net reclassification improvement analyses, NT-proBNP, hsTnI, and FFAu added significant diagnostic information to cTnT; when changing the diagnostic criterion standard for ACS to hsTnI, FFAu still added significant reclassification for both events and nonevents. In serial sampling (n = 180), FFAu added important reclassification information to hsTnI.
Conclusion: Among emergency department patients with symptoms suggestive of ACS, neither ischemia modified albumin nor heart fatty acid binding protein detected or excluded ACS, whereas NT-proBNP, hsTnI, or FFAu added diagnostic information to cTnT. In the context of hsTnI results, FFAu measurement significantly reclassified both false negatives and false positives at baseline and in serial samples.
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