Comparison of the triglyceride glucose index and blood leukocyte indices as predictors of metabolic syndrome in healthy Chinese population.

Comparison of the triglyceride glucose index and blood leukocyte indices as predictors of metabolic syndrome in healthy Chinese population.
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DOI:
10.1038/s41598-021-89494-9
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发表时间:
2021-05-11
期刊:
影响因子:
4.6
通讯作者:
Li XH
Li XH
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Lin HY;Zhang XJ;Liu YM;Geng LY;Guan LY;Li XH

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甘油三酯葡萄糖(TyG)指数和炎症标志物与代谢综合征(MetS)呈正相关。然而,没有以前的研究评估的价值TyG指数和炎症标志物作为代谢综合征的预测在同一研究。本研究旨在比较甘油三酯指数和血白细胞指数作为中国人群代谢综合征的预测指标。研究队列包括1542名无代谢综合征的中国人群。受试者于2011年接受了全面的常规健康检查,并于2016年返回进行随访检查。代谢综合征的定义参照中华医学会糖尿病分会标准,以体重指数代替腰围。测定TyG指数、总白细胞、中性粒细胞、淋巴细胞和嗜中性粒细胞与淋巴细胞比率(NLR)。调整d logistic模型用于评估TyG指数、血白细胞指数和偶发MetS之间的关系。进行受试者工作特征(ROC)曲线以确定TyG指数和血白细胞指数对MetS的预测价值。多因素Logistic回归分析结果显示,在校正模型中,TyG指数和中性粒细胞四分位数最高的受试者MetS发生率分别增加3.894倍和1.663倍(P < 0.0001和P = 0.027)。未观察到总白细胞、淋巴细胞、NLR与MetS事件之间的显著相关性。ROC曲线分析显示,TyG指数和中性粒细胞的AUC分别为0.674和0.568。TyG指数,而不是血液白细胞指数可能有最强的预测价值MetS的发展超过5年的时间。
Triglyceride glucose (TyG) index and inflammatory markers are reported to have a positive association with metabolic syndrome (MetS). However, no previous study has assessed the value of TyG index and inflammatory markers as predictors of metabolic syndrome in the same study. This study looks at the comparison of the triglyceride index and blood leukocyte indices as predictors of metabolic syndrome in the Chinese population. The study cohort involved 1542 Chinese population without metabolic syndrome. The subjects underwent comprehensive routine health examination in 2011 and returned for a follow-up examination in 2016. Metabolic syndrome was defined according to Chinese Diabetes Society criteria, using body mass index for the replacement of waist circumference. TyG index, total leukocytes, neutrophils, lymphocytes, and neutrophil-to-lymphocyte ratio (NLR) were measured. Adjust d logistic models were used to assess the relationship between TyG index, blood leukocyte indices, and incident MetS. Receiver operating characteristic (ROC) curves were performed to determine the predictive value of TyG index and blood leukocyte indices for MetS. Results from multivariate logistic regression analysis showed that, in the adjusted model, the subjects with the highest quartile of TyG index and neutrophils had a 3.894- and 1.663-fold increased incidence of MetS (P < 0.0001 and P = 0.027), respectively. No significant association was observed between total leukocytes, lymphocytes, NLR with incident MetS. ROC analysis showed that the AUC of TyG index and neutrophils were 0.674 and 0.568 for incident MetS, respectively. TyG index rather than blood leukocyte indices may have the strongest predictive value in MetS development over a 5-year period.
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