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Disease Markers
Volume 35 (2013), Issue 2, Pages 129–134
Research Article

COMT-Val158Met-Polymorphism Is Not a Risk Factor for Acute Kidney Injury after Cardiac Surgery

1Klinik fuer Herz- und Gefaeßchirurgie, Deutsches Herzzentrum Muenchen, Technische Universitaet Muenchen, Munich Heart Alliance, Lazarettstrasse 36, 80636 Munich, Germany
2Institut fuer Medizinische Biometrie, Epidemiologie und Medizinische Informatik (IMBEI), Universitaetsklinikum des Saarlandes, 66421 Homburg, Saar, Germany

Received 19 March 2013; Revised 1 July 2013; Accepted 3 July 2013

Academic Editor: Kishore Chaudhry

Copyright © 2013 Matthias Kornek et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Background. Cardiac surgery-associated acute kidney injury (CSA-AKI) depicts a major complication after cardiac surgery using cardiopulmonary bypass (CPB). Objective. CSA-AKI has clearly been linked to increased perioperative morbidity and mortality. Dysregulations of vasomotor tone are assumed to be causal for CSA-AKI. While catechol-O-methyltransferase (COMT) is involved in metabolizing catecholamines, a single-nucleotide polymorphism (SNP) in the COMT gene leads to different enzyme activities according to genotype. Pilot studies found associations between those COMT genotypes and CSA-AKI. Methods. We prospectively included 1741 patients undergoing elective cardiac surgery using cardiopulmonary bypass (CPB). Patients were genotyped for COMT-Val158Met-(G/A) polymorphism (rs4680). Results. Demographic characteristics and procedural data revealed no significant differences between genotypes. No association between COMT genotypes and the RIFLE criteria could be detected. A multiple linear regression analysis for postoperative creatinine increase revealed highly significant associations for aortic cross-clamp time ( ), CPB time ( ), norepinephrine ( ), and age ( ). No associations were found for COMT genotypes or baseline creatinine. With an and a sample size of 1741, the observed power of the regression analysis was >99%. Conclusions. Based on our results, we can rule out an association between the COMT-Val158Met-(G/A) polymorphism and the appearance of CSA-AKI.