Association between γ-glutamyl transferase and metabolic syndrome: a cross-sectional study of an adult population in Beijing.
Association between γ-glutamyl transferase and metabolic syndrome: a cross-sectional study of an adult population in Beijing.
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γ-谷氨酰转移酶与代谢综合征的关联：北京成年人群的横断面研究
DOI：
10.3390/ijerph10115523
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发表时间：
2013-10-29
影响因子：
--
通讯作者：
Guo X
中科院分区：
文献类型：
--
作者：
Tao L;Li X;Zhu H;Gao Y;Luo Y;Wang W;Wang Z;Chen D;Wu L;Guo X
The relationship between liver enzymes and clustered components of metabolic syndrome (MetS) is explored and the predictive power of γ-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.
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DOI：
10.3350/kjhep.2011.17.1.27
发表时间：
2011-03
期刊：
The Korean journal of hepatology
影响因子：
--
作者：
Oh HJ;Kim TH;Sohn YW;Kim YS;Oh YR;Cho EY;Shim SY;Shin SR;Han AL;Yoon SJ;Kim HC
通讯作者：
Kim HC
DOI：
10.5543/tkda.2011.01205
发表时间：
2011-03-01
影响因子：
0.8
作者：
Bozbas, Huseyin;Yildirir, Aylin;Muderrisoglu, Haldun
通讯作者：
Muderrisoglu, Haldun
影响因子：
16.2
作者：
McNeill, AM;Schmidt, MI;Heiss, G
通讯作者：
Heiss, G
影响因子：
9.3
作者：
Lee, DH;Jacobs, DR;Steffes, M
通讯作者：
Steffes, M
影响因子：
6.9
作者：
Freiberg, Matthew S.;Pencina, Michael J.;Vasan, Ramachandran S.
通讯作者：
Vasan, Ramachandran S.