title: Serum uric acid levels predict the severity and morphology of coronary atherosclerosis detected by multidetector computed tomography.
abstract: In this study, we aimed to evaluate whether serum uric acid (UA) was associated with the severity and morphology of coronary atherosclerotic plaques (CAP) shown by multidetector computed tomography (MDCT). The study population consisted of 982 patients (58% men) who underwent dual-source 64 slice MDCT for the assessment of coronary artery disease (CAD). Coronary arteries were evaluated on 16 segment basis and critical coronary plaque was described as luminal narrowing >50%, whereas plaque morphology was assessed on per segment basis. Serum UA levels were determined using commercially available assay kits. The critical atherosclerotic lesions were detected in 454/982 (46.2%) subjects by MDCT. Serum UA levels were found to be higher in patients with any coronary plaque (6.9 ± 1.5mg/dL vs. 5.1 ± 1.3mg/dL, p<0.01). Also UA level was higher in patients with critical stenosis compared to non-critical stenosis (6.1 ± 1.5mg/dL vs. 5.4 ± 1.3mg/dL, p<0.001). Subjects having primarily calcified plaques have higher UA levels compared to other plaque subtypes (5.5 ± 1.3 for non-calcified plaques, and 5.6 ± 1.2 for mixed plaques, 6.6 ± 1.6 for calcified plaques, p<0.001). This independent association was remained after multinominal regression analysis (OR: 1,987; 95% CI; 1.69-2.32; p<0.01). Our study demonstrated that serum UA level was significantly associated with the severity and the calcified morphology of CAP detected by MDCT. Further prospective clinical studies are needed to clarify the exact physiopathologic role of UA in CAD.
authors.affiliation: Department of Cardiology, Hacettepe University, Ankara, Turkey.
authors.forename: Ergün Barış
authors.initials: EB
authors.lastname: Kaya
authors.forename: Hikmet
authors.initials: H
authors.lastname: Yorgun
authors.forename: Uğur
authors.initials: U
authors.lastname: Canpolat
authors.forename: Tuncay
authors.initials: T
authors.lastname: Hazırolan
authors.forename: Hamza
authors.initials: H
authors.lastname: Sunman
authors.forename: Ayşegül
authors.initials: A
authors.lastname: Ülgen
authors.forename: Ahmet Hakan
authors.initials: AH
authors.lastname: Ates
authors.forename: Kudret
authors.initials: K
authors.lastname: Aytemir
authors.forename: Lale
authors.initials: L
authors.lastname: Tokgözoğlu
authors.forename: Giray
authors.initials: G
authors.lastname: Kabakcı
authors.forename: Deniz
authors.initials: D
authors.lastname: Akata
authors.forename: Ali
authors.initials: A
authors.lastname: Oto
mesh_terms: D000368:Aged; D000465:Algorithms; D002309:Cardiology / Q000379:methods; D003324:Coronary Artery Disease / Q000097:blood* / Q000175:diagnosis*; D003331:Coronary Vessels / Q000473:pathology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D012307:Risk Factors; D014057:Tomography, X-Ray Computed / Q000379:methods; D014527:Uric Acid / Q000097:blood*
chemical_list: D014527:Uric Acid