Gamma-glutamyl transferase to high-density lipoprotein cholesterol ratio is a more powerful marker than TyG index for predicting metabolic syndrome in patients with type 2 diabetes mellitus
被引:6
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作者:
Gong, Shijun
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Jishou Univ, Dept Med, Jishou, Peoples R ChinaJishou Univ, Dept Med, Jishou, Peoples R China
Gong, Shijun
[1
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Gan, Shenglian
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机构:
First Peoples Hosp Changde City, Dept Endocrinol, Changde, Peoples R ChinaJishou Univ, Dept Med, Jishou, Peoples R China
Gan, Shenglian
[2
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Zhang, Yuhua
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Jishou Univ, Dept Med, Jishou, Peoples R ChinaJishou Univ, Dept Med, Jishou, Peoples R China
Zhang, Yuhua
[1
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Zhou, Haifeng
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First Peoples Hosp Changde City, Dept Endocrinol, Changde, Peoples R ChinaJishou Univ, Dept Med, Jishou, Peoples R China
Zhou, Haifeng
[2
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Zhou, Quan
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First Peoples Hosp Changde City, Dept Sci & Educ, Changde, Peoples R ChinaJishou Univ, Dept Med, Jishou, Peoples R China
Zhou, Quan
[3
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机构:
[1] Jishou Univ, Dept Med, Jishou, Peoples R China
[2] First Peoples Hosp Changde City, Dept Endocrinol, Changde, Peoples R China
[3] First Peoples Hosp Changde City, Dept Sci & Educ, Changde, Peoples R China
PurposeThe prevalence of metabolic syndrome (MetS) is increasing globally and has become a global and national public health problem that cannot be ignored as an independent predictor of cardiovascular events, cancer and all-cause mortality. gamma-glutamyl transferase (GGT) and high-density lipoprotein cholesterol (HDL-C) are associated with insulin resistance, dyslipidemia and oxidative stress. This study was designed to explore the relationship and predictive performance between gamma-glutamyl transferase high-density lipoprotein cholesterol ratio (GGT/HDL-C) and MetS.MethodsThis was a cross-sectional study. MetS was diagnosed from biochemical and anthropometric data in subjects with T2DM. Multivariate logistic regression was used to analyses the relationship between GGT/HDL-C ratio, TyG index and HOMA-IR and MetS in subjects with T2DM. Receiver operating characteristic (ROC) curve was drawn and the areas under the curve (AUC) were used to assess the ability of these indexes in screening MetS in subjects with T2DM. Statistical differences between the AUC values of these indexes were compared. In addition, we performed subgroup analyses and interactions.Results769 (70.55%) patients with T2DM were defined as having MetS. patients with MetS had higher anthropometric values and biochemical indicators compared to those without MetS. Multivariate logistic regression analysis of GGT/HDL-C ratio was an independent risk factor for MetS (Per 1 SD increase, OR = 2.49, 95% CI: 1.51, 4.10). According to ROC curve analysis, the value of GGT/HDL-C ratio in predicting MetS in subjects with T2DM was superior to that of TyG index and HOMA-IR. The best cut-off value for GGT/HDL-C prediction was 19.94.ConclusionsGGT/HDL-C ratio may be an important predictor of MetS in subjects with T2DM, and its predictive power is stronger than that of TyG index and HOMA-IR. The risk of MetS in subjects with T2DM is increased in the presence of a higher GGT/HDL-C ratio.
机构:
Univ Texas SW Med Ctr Dallas, Ctr Human Nutr, Vet Affairs Med Ctr, Dallas, TX 75390 USAUniv Texas SW Med Ctr Dallas, Ctr Human Nutr, Vet Affairs Med Ctr, Dallas, TX 75390 USA
Vega, Gloria Lena
Barlow, Carolyn E.
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Cooper Inst, Dallas, TX USAUniv Texas SW Med Ctr Dallas, Ctr Human Nutr, Vet Affairs Med Ctr, Dallas, TX 75390 USA
Barlow, Carolyn E.
Grundy, Scott M.
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Univ Texas SW Med Ctr Dallas, Ctr Human Nutr, Vet Affairs Med Ctr, Dallas, TX 75390 USAUniv Texas SW Med Ctr Dallas, Ctr Human Nutr, Vet Affairs Med Ctr, Dallas, TX 75390 USA
Grundy, Scott M.
Leonard, David
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Cooper Inst, Dallas, TX USAUniv Texas SW Med Ctr Dallas, Ctr Human Nutr, Vet Affairs Med Ctr, Dallas, TX 75390 USA
Leonard, David
DeFina, Laura F.
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Cooper Inst, Dallas, TX USAUniv Texas SW Med Ctr Dallas, Ctr Human Nutr, Vet Affairs Med Ctr, Dallas, TX 75390 USA
机构:
Shengjing Hosp China Med Univ, Dept Endocrinol, Shenyang 110022, Liaoning, Peoples R ChinaShengjing Hosp China Med Univ, Dept Endocrinol, Shenyang 110022, Liaoning, Peoples R China
Zhou, Fang
Sun, Xiaoshi
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机构:
Shengjing Hosp China Med Univ, Dept Endocrinol, Shenyang 110022, Liaoning, Peoples R ChinaShengjing Hosp China Med Univ, Dept Endocrinol, Shenyang 110022, Liaoning, Peoples R China
Sun, Xiaoshi
Liu, Juan
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机构:
Xi An Jiao Tong Univ, Dept Resp & Crit Care Med, Affiliated Hosp 2, Xian, Shaanxi, Peoples R ChinaShengjing Hosp China Med Univ, Dept Endocrinol, Shenyang 110022, Liaoning, Peoples R China
Liu, Juan
Li, Linlin
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机构:
Shenyang Open Univ, Dept Acad Affairs, Shenyang, Peoples R ChinaShengjing Hosp China Med Univ, Dept Endocrinol, Shenyang 110022, Liaoning, Peoples R China
Li, Linlin
Li, Ling
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机构:
Shengjing Hosp China Med Univ, Dept Endocrinol, Shenyang 110022, Liaoning, Peoples R ChinaShengjing Hosp China Med Univ, Dept Endocrinol, Shenyang 110022, Liaoning, Peoples R China
Li, Ling
Li, Ping
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机构:
Shengjing Hosp China Med Univ, Dept Endocrinol, Shenyang 110022, Liaoning, Peoples R ChinaShengjing Hosp China Med Univ, Dept Endocrinol, Shenyang 110022, Liaoning, Peoples R China