Department of Medicine, Ekiti State University/Ekiti State University Teaching Hospital, Ado-Ekiti, Nigeria.
Department of Pharmacology and Therapeutics, Ekiti State University, Ado-Ekiti, Nigeria.
Metab Syndr Relat Disord. 2021 Mar;19(2):76-82. doi: 10.1089/met.2020.0092. Epub 2020 Nov 9.
Triglyceride-glucose (TyG) index, a product of triglyceride and fasting plasma glucose, is a novel tool that can identify people with metabolic syndrome (MS). It is unknown if TyG index can identify MS among Nigerians. Cross-sectional health screening conducted between August and December 2018, among staff and students of Ekiti State University/Ekiti State University Teaching Hospital, Nigeria, Ado-Ekiti. The analysis included 473 participants, aged ≥18 years. Anthropometric indices and blood pressure were measured by standard protocol. Fasting lipid profile and blood glucose were determined. TyG index and product of TyG and anthropometric indices were calculated, and MS defined according to the harmonized criteria. The diagnostic ability of TyG index and related parameters to identify people with MS was determined with the area under curve (AUC) of receiver operating characteristic curves. Stepwise logistic regression analyses were used to generate odd ratios (ORs) for prediction of MS. The mean age of the participants was 39.2 (11.4) years and there were 173 (36.6%) men. In all participants, TyG-waist to height ratio (TyG-WHtR) shows the largest AUC for MS detection (0.863, 95% confidence interval, CI: 0.828-0.892) followed by TyG-waist circumference (TyG-WC) (0.858, 95% CI: 0.823-0.888), TyG-body mass index (TyG-BMI) (0.838, 95% CI: 0.802-0.870), TyG index (0.796, 95% CI: 0.757-0.831), WHtR (0.791, 95% CI: 0.752-0.827), and TyG-waist-to-hip ratio (TyG-WHpR) (0.771, 95% CI: 0.730-0.808) in that order. Gender analysis revealed that TyG-WC and TyG-WHtR have largest AUC in both genders. Before and after adjustment, TyG-WHtR (OR: 6.86, 95% CI: 3.94-11.93) and TyG index (OR: 5.91, 95% CI: 3.01-11.59) presented the highest OR in all participants, respectively. TyG index is effective in identifying MS in this cross-sectional study, and the product of TyG index and anthropometric indices improved identification and prediction of MS.
甘油三酯-葡萄糖（TyG）指数是甘油三酯和空腹血浆葡萄糖的产物，是一种可以识别代谢综合征（MS）患者的新工具。目前尚不清楚 TyG 指数是否可以识别尼日利亚的 MS 患者。
横断面健康筛查于 2018 年 8 月至 12 月在尼日利亚埃基蒂州大学/埃基蒂州大学教学医院的工作人员和学生中进行。分析纳入了 473 名年龄≥18 岁的参与者。采用标准方案测量体重指数和血压。检测空腹血脂谱和血糖。计算 TyG 指数和 TyG 与人体测量指数的乘积，并根据协调标准定义 MS。通过接收者操作特征曲线下的面积（AUC）确定 TyG 指数和相关参数识别 MS 患者的能力。逐步逻辑回归分析用于生成预测 MS 的比值比（OR）。
参与者的平均年龄为 39.2（11.4）岁，其中 173 名（36.6%）为男性。在所有参与者中，TyG-腰围与身高比（TyG-WHtR）在 MS 检测中具有最大 AUC（0.863，95%置信区间，CI：0.828-0.892），其次是 TyG-腰围（TyG-WC）（0.858，95%CI：0.823-0.888），TyG-体重指数（TyG-BMI）（0.838，95%CI：0.802-0.870），TyG 指数（0.796，95%CI：0.757-0.831），WHtR（0.791，95%CI：0.752-0.827）和 TyG-腰围与臀围比（TyG-WHpR）（0.771，95%CI：0.730-0.808）。性别分析显示，TyG-WC 和 TyG-WHtR 在两性中均具有最大的 AUC。调整前后，TyG-WHtR（OR：6.86，95%CI：3.94-11.93）和 TyG 指数（OR：5.91，95%CI：3.01-11.59）在所有参与者中均表现出最高的 OR。
在这项横断面研究中，TyG 指数在识别 MS 方面非常有效，TyG 指数与人体测量指数的乘积提高了 MS 的识别和预测能力。
