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Impact of the metabolic syndrome and its individual components on risk and severity of coronary heart disease

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Abstract

The clinical use of criteria for metabolic syndrome (MetS) and its individual components with respect to risk prediction of coronary heart disease (CHD) remains uncertain. In this study, we investigated whether and to what extent MetS and its individual components were related to risk for CHD. A total of 1,028 subjects, who had undergone coronary angiography or were diagnosed as acute myocardial infarction, were selected according to inclusion criteria. MetS was diagnosed with National Cholesterol Education Program Adult Treatment Panel III (NCEP ATPIII) criteria. CHD was diagnosed with clinical data and confirmed by coronary angiography. The severity of coronary atherosclerosis was estimated by CHD Gensini cumulative index. All the patients were aged 33–87 years. The results showed that the age- and sex-adjusted odds ratios (ORs) for CHD in different individual components of MetS were as follows: low-high density lipoprotein (low-HDL), 3.15 (1.94–5.12); high-fasting plasma glucose (high-FPG), 2.26 (1.63–3.69); high-blood pressure (high-BP), 2.13 (1.38–3.29); high-triglycerides (high-TG), 1.55 (1.13–2.11); all P < 0.05, whereas high-body mass index (high-BMI), 0.75 (0.55–1.03) and high-waist circumference, 0.75 (0.51–1.10), both P > 0.05. Among all the components, the triad of low-HDL, high-FPG, and high-BP had the highest OR for CHD: 4.28 (3.12–5.87) (P < 0.001). MetS subjects had significant increases in number of disease vessel and CHD Gensini index (P < 0.001). When individual components of MetS were considered separately, groups with low-HDL, or high-FPG, or high-BP had significant increases in number of disease vessel and Gensini index (all P < 0.001). In conclusion, our present results demonstrated that individual components of MetS and their various combinations may have different contributions to CHD and the severity of coronary artery stenosis. Clinical focus should remain on establishing optimum-risk algorithms for CHD.

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Acknowledgments

This study is supported by the Grant from 973 Project (No. 2006 CB 503904), National Natural Science Foundation of China (Nos. 30570880 and 30725037), and 863 Project (No. 2006AA02A409).

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Authors and Affiliations

  1. Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrinology and Metabolism, Endocrine and Metabolic E-Institutes of Shanghai Universities (EISU) and Key Laboratory for Endocrinology and Metabolism of Chinese Health Ministry, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, People’s Republic of China

    Yifei Zhang, Jie Hong, Weiqiong Gu, Minghui Gui, Ying Chen, Yu Zhang, Zhenni Chi, Weiqing Wang, Xiaoying Li & Guang Ning

  2. Laboratory of Endocrinology and Metabolism, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences/Shanghai Jiao-Tong University School of Medicine, Shanghai, People’s Republic of China

    Guang Ning

  3. Shanghai Clinical Center for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, People’s Republic of China

    Guang Ning

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  1. Yifei Zhang
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  2. Jie Hong
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  3. Weiqiong Gu
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  4. Minghui Gui
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  6. Yu Zhang
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  7. Zhenni Chi
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  8. Weiqing Wang
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  9. Xiaoying Li
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  10. Guang Ning
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Correspondence to Guang Ning.

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Yifei Zhang and Jie Hong contributed equally to this work.

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Zhang, Y., Hong, J., Gu, W. et al. Impact of the metabolic syndrome and its individual components on risk and severity of coronary heart disease. Endocr 36, 233–238 (2009). https://doi.org/10.1007/s12020-009-9214-y

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