Predictive Value of Adiponectin in Patients with Multivessel Coronary Atherosclerosis Detected on Computed Tomography Angiography

AIM: Multislice computed tomography coronary angiography (CTCA) can be used to detect coronary plaques that predict the risk of cardiovascular events. This study aimed to identify the risk factors associated with the extent of coronary plaques detected using CTCA and to determine the value of adiponectin measurement for identifying high-risk patients with multivessel coronary atherosclerosis. METHODS: The study included 298 patients who underwent CTCA for coronary artery disease (CAD) screening between July 2008 and October 2011. We investigated the relationship between the extent of coronary atherosclerosis in terms of the number of diseased vessels and various risk factors, including the serum adiponectin level. RESULTS: The adiponectin level was found to be significantly associated with multivessel coronary atherosclerosis in a univariate analysis (p=0.001). A multivariate analysis revealed the adiponectin level to also be significantly associated with multivessel coronary atherosclerosis (p=0.01), independent of other significant risk factors, including an advanced age, male gender, diabetes mellitus (DM) and hypertension (HT). A receiver operating characteristic curve analysis revealed that a combination of these factors significantly predicted multivessel coronary atherosclerosis (area under the curve, 0.73;95% confidence interval, 0.67-0.78). As the number of these factors increased, the proportion of patients with multivessel coronary atherosclerosis increased, while the proportion of patients with normal coronary arteries decreased (p < 0.0001). CONCLUSIONS: A low adiponectin level combined with an advanced age, male gender, DM, and HT is independently and incrementally associated with multivessel coronary atherosclerosis. The number of factors may predict the extent of coronary atherosclerosis in patients without documented CAD.