Background:The clinical significance of metabolic syndrome (MS) score, MS, and its individual components with respect to risk prediction of coronary artery disease (CAD) remains unclear. The objective of this study was to investigate whether and to what extent MS score, MS, and its individual components were related to the risk of CAD.Methods:Among 1191 participants who underwent coronary angiography for the confirmation of suspected myocardial ischemia, 858 were included in this study according to the inclusion criteria from September 2010 to June 2013. MS was diagnosed with the 2005 National Cholesterol Education Program Adult Treatment Panel III criteria. The severity of coronary atherosclerosis was assessed by Gensini score.Results:The results showed that the age- and sex-adjusted odds ratios (ORs) for CAD were as follows: MS score, 1.327; MS, 2.013; elevated waist circumference, 1.447; reduced high-density lipoprotein cholesterol, 1.654; and elevated fasting glucose, 1.782; all P < 0.05; whereas for elevated triglycerides, 1.324, and elevated blood pressure, 1.342, both P > 0.05. After multivariate adjustment, results showed that only MS and elevated fasting glucose were significantly associated with CAD (OR, 1.628, 95% confidence interval [CI], 1.151–2.305, P = 0.006 for elevated fasting glucose, and OR, 1.631, 95% CI, 1.208–2.203, P = 0.001 for MS). The study showed that only MS score and elevated fasting glucose were significantly associated with Gensini score (standardized coefficient, 0.101, P = 0.031 for elevated fasting glucose and standardized coefficient, 0.103, P = 0.009 for MS score).Conclusions:The present study demonstrated that MS score, MS, and its individual components might have different contributions to CAD prevalence and severity. MS and elevated fasting glucose were independent risk factors for the prevalence of angiographic CAD whereas MS score and elevated fasting glucose were significantly associated with the severity of CAD.

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The objective of the present study is to assess the performance of fasting blood glucose (FBG), postprandial blood glucose (PBG), and glycated hemoglobin (HbA1c) as screening for coronary heart disease (CHD) in an inpatient population undergoing coronary angiography. 1852 consecutive patients scheduled for coronary angiography were classified into Normal Glucose Tolerance (NGT), Impaired Glucose Regulation (IGR), and diabetes, based on FBG, PBG, and HbA1c. Correlations of Gensini score with glucose metabolism and insulin resistance were analyzed. The associations between glycemic variables and Gensini score or the presence of CHD were analyzed by multiple linear regression and logistic regression, respectively. CHD was diagnosed in 488, 622, and 414 patients with NGT, IGR, and diabetes, respectively. Gensini score was positively correlated with FBG (r = 0.09, p < 0.01), PBG (r = 0.20, p < 0.01), and HbA1c (r = 0.19, p < 0.01). Gensini score was not correlated with fasting insulin (r = −0.081, p = 0.36), post-prandial insulin (r = −0.02, p = 0.61), or HOMAIR (r = −0.0059, p = 0.13). When FBG, PBG and HbA1c were pooled altogether, only PBG persisted in its association with Gensini score and the prevalence of CHD. The severity of CHD was associated with glucose rather than insulin resistance in this Chinese population. PBG was optimally correlated with the presence and severity of CHD.