Circulating Malondialdehyde-Modified LDL-Related Variables and Coronary Artery Stenosis in Asymptomatic Patients with Type 2 Diabetes

• Main Authors: Kazuya Fujihara, Hiroaki Suzuki, Akira Sato, Satoru Kodama, Yoriko Heianza, Kazumi Saito, Hitoshi Iwasaki, Kazuto Kobayashi, Shigeru Yatoh, Akimitsu Takahashi, Naoya Yahagi, Hiroaki Yagyu, Hirohito Sone, Hitoshi Shimano
• Format: Article
• Language: English
• Published: Hindawi Limited 2015-01-01
• Series: Journal of Diabetes Research
• Online Access: http://dx.doi.org/10.1155/2015/507245
• ISSN: 2314-6745; 2314-6753

Aims. To elucidate the levels of malondialdehyde-modified LDL (MDA-LDL)-related variables for predicting coronary artery stenosis (CAS) by coronary CT angiography (CCTA) in asymptomatic patients with type 2 diabetes (T2DM). Methods. Enrolled were 36 Japanese patients with T2DM who underwent CCTA and in whom MDA-LDL levels were measured. Definition of CAS was luminal narrowing of ≥50%. Trends through tertiles of each MDA-LDL-related variable were analyzed with a general linear model. The ability of each MDA-LDL-related variable to predict CAS was compared to areas under the curve (AUCs) in receiver operating characteristic curve (ROC) analysis. Results. Seventeen patients had CAS. Each MDA-LDL-related variable was an independent predictor of CAS (P=0.039 for MDALDL, P=0.013 for MDA-LDL/LDL-C, P=0.047 for MDA-LDL/HDL-C, and P=0.013 for (MDA-LDL/LDL-C)/HDL-C). AUCs of MDA-LDL, MDA-LDL/LDL-C, MDA-LDL/HDL-C, and (MDA-LDL/LDL-C)/HDL-C were 0.675 (95% CI 0.496–0.854), 0.765 (0.602–0.927), 0.752 (0.592–0.913), and 0.799 (0.643–0.955), respectively, for predicting CAS. Trends throughout the tertiles showed significant associations between MDA-LDL/LDL-C, MDA-LDL/HDL-C, or (MDALDL/LDL-C)/HDL-C and CAS (P=0.003 for MDA-LDL/LDL-C, P=0.042 for MDA-LDL/HDL-C, and P=0.001 for (MDA-LDL/LDL-C)/HDL-C). Conclusions. Data suggest that measurements of MDA-LDL/LDL-C, MDA-LDL/HDLC, and (MDA-LDL/LDL-C)/HDL-C are useful for predicting CAS.