Limited utilities of N-terminal pro B-type natriuretic peptide and other newer risk markers compared with traditional risk factors for prediction of significant angiographic lesions in stable coronary artery disease. Issue 4 (15th August 2008)

• Record Type: Journal Article
• Authors: Peer, A; Falkensammer, G; Alber, H; Kroiss, A; Griesmacher, A; Ulmer, H; Pachinger, O; Mair, J
• Is Part Of: Heart. Volume 95:Issue 4(2009)
• Page Start: 297
• Page End: 303
• Publication Date: 2008-08-15
• Subjects: Heart -- Diseases -- Treatment -- Periodicals; Cardiology -- Periodicals; 616.12
• DOI: 10.1136/hrt.2008.145425
• Languages: English
• ISSNs: 1355-6037

Abstract

Abstract : Objective: To investigate the usefulness of N-terminal pro-brain natriuretic peptide (NT-proBNP) as a predictive marker for angiographically significant coronary artery disease (CAD) and CAD severity compared with other newer biochemical risk markers and classic risk factors in patients with clinically suspected CAD. Design: Cross-sectional evaluation of NT-proBNP in a large consecutive series of patients without a history of myocardial infarction referred for elective coronary angiography (CAG) between March 2004 and January 2005. The value of NT-proBNP for predicting CAD was assessed and compared with high sensitivity C-reactive protein (hs-CRP), γ-glutamyltransferase (GGT) and traditional risk factors. Setting: Tertiary care centre, Department of Cardiology, Innsbruck Medical University, Austria. Patients: 561 men and 287 women aged between 20–86 years (median 65 years). Interventions: None. Main outcome measures: Association of NT-proBNP with the severity of CAD, left ventricular dysfunction and comparison of predictive values of NT-proBNP, hs-CRP, GGT and traditional CAD risk factors. Results: Of all tested newer biochemical risk markers NT-proBNP performed best. In a multinomial logistic regression model NT-proBNP but not hs-CRP or GGT was significantly associated with three-vessel CAD adjusted for age, sex, ventricular, renal function and classic risk factors (odds ratio = 1.667; 95% CI 1.003 to 2.772; p = 0.049). However, NT-proBNP had no additive predictive value to traditional cardiovascular risk factors for the prediction of angiographically significant CAD in a binary logistic regression model. Conclusions: The predictive value of NT-proBNP for CAD severity is better than that of hs-CRP or GGT. However, NT-proBNP is also of limited value compared with traditional risk factors for predicting significant CAD.