Association between ?-Glutamyl Transferase and Metabolic Syndrome: A Cross-Sectional Study of an Adult Population in Beijing

Lixin Tao, Xia Li, Huiping Zhu, Yue Gao, Yanxia Luo, Wei Wang, Zhaoping Wang, Dongning Chen, Lijuan Wu and Xiuhua Guo
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Lixin Tao: School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Beijing 100069, China
Xia Li: School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Beijing 100069, China
Huiping Zhu: School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Beijing 100069, China
Yue Gao: Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang, Beijing 100029, China
Yanxia Luo: School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Beijing 100069, China
Wei Wang: School of Medical Science, Edith Cowan University, 2 Bradford Street, Mount Lawley, WA 6050, Australia
Zhaoping Wang: Physical Examination Department, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang, Beijing 100041, China
Dongning Chen: Physical Examination Department, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang, Beijing 100041, China
Lijuan Wu: School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Beijing 100069, China
Xiuhua Guo: School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Beijing 100069, China

IJERPH, 2013, vol. 10, issue 11, 1-18

Abstract: The relationship between liver enzymes and clustered components of metabolic syndrome (MetS) is explored and the predictive power of ?-glutamyl transferase (GGT) for the diagnosis of MetS in an adult population in Beijing is investigated. A total of 10,553 adults aged 20–65 years who underwent health examinations at Beijing Tongren Hospital in 2012 were enrolled in the study. Multivariate logistic regression analysis is conducted to determine the associations between the levels of various liver enzymes and clustered components of MetS. A receiver operating characteristic analysis is used to determine the optimal cut-off value of GGT for the diagnosis of MetS. A high level of GGT is found to be positively associated with clustered components of MetS in both men and women after adjusting for age, body mass index (BMI), history of alcoholic fatty liver, and the presence of taking anti-hypertensive, anti-dyslipidemic, and anti-diabetic drugs. Among all components of MetS, GGT is more predictive of triglyceride, and BMI. The area-under-the-curve values of GGT for discriminating MetS from normal metabolic status in men and women are 0.73 and 0.80, respectively. The optimal cut-off value of GGT for men is 31.50 U/L, demonstrating a sensitivity of 74.00% and specificity of 62.00%. For women, it is 19.50 U/L (sensitivity 76.00% and specificity 70.00%). GGT is therefore recommended as a useful diagnostic marker for MetS, because the test is inexpensive, highly sensitive, and frequently encountered in clinical practice.

Keywords: liver enzymes; metabolic syndrome; gamma-glutamyl transferase; diagnosis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2013
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