Health Management Center, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Health Management Center, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
BMJ Open. 2023 May 2;13(5):e070189. doi: 10.1136/bmjopen-2022-070189.
This study aimed to evaluate the performance of the triglyceride glucose (TyG) index and its related markers in predicting metabolic-associated fatty liver disease (MAFLD) in healthy Chinese participants.
This was a cross-sectional study.
The study was conducted at Health Management Department of the Affiliated Hospital of Xuzhou Medical University.
A total of 20 922 asymptomatic Chinese participants (56% men) were enrolled.
Hepatic ultrasonography was performed to diagnose MAFLD based on the latest diagnostic criteria. The TyG, TyG-body mass (TyG-BMI) and TyG-waist circumference indices were calculated and analysed.
Compared with the lowest quartile of the TyG-BMI, the adjusted ORs and 95% CIs for MAFLD were 20.76 (14.54 to 29.65), 92.33 (64.61 to 131.95) and 380.87 (263.25 to 551.05) in the second, third and fourth quartiles, respectively. According to the subgroup analysis, the TyG-BMI in the female and the lean groups (BMI<23 kg/m) showed the strongest predictive value, with optimal cut-off values for MAFLD of 162.05 and 156.31, respectively. The areas under the receiver operating characteristic curves in female and lean groups were 0.933 (95% CI 0.927 to 0.938) and 0.928 (95% CI 0.914 to 0.943), respectively, with 90.7% sensitivity and 81.2% specificity in female participants with MAFLD and 87.2% sensitivity and 87.1% specificity in lean participants with MAFLD. The TyG-BMI index demonstrated superior predictive ability for MAFLD compared with other markers.
The TyG-BMI is an effective, simple and promising tool for predicting MAFLD, especially in lean and female participants.
本研究旨在评估甘油三酯-葡萄糖(TyG)指数及其相关标志物在预测中国健康体检人群代谢相关脂肪性肝病(MAFLD)中的作用。
这是一项横断面研究。
研究在徐州医科大学附属医院健康管理部进行。
共纳入 20922 名无症状的中国参与者(56%为男性)。
采用肝脏超声诊断 MAFLD,诊断标准采用最新标准。计算并分析 TyG、TyG-体重指数(TyG-BMI)和 TyG-腰围指数。
与 TyG-BMI 最低四分位相比,TyG-BMI 第二、三、四分位的 MAFLD 校正比值比(OR)和 95%置信区间(CI)分别为 20.76(14.5429.65)、92.33(64.61131.95)和 380.87(263.25551.05)。根据亚组分析,女性和消瘦人群(BMI<23 kg/m)中 TyG-BMI 具有最强的预测价值,MAFLD 的最佳截断值分别为 162.05 和 156.31。女性和消瘦人群 TyG-BMI 的受试者工作特征曲线下面积分别为 0.933(95%CI 0.9270.938)和 0.928(95%CI 0.914~0.943),女性 MAFLD 患者的敏感度和特异度分别为 90.7%和 81.2%,消瘦 MAFLD 患者的敏感度和特异度分别为 87.2%和 87.1%。与其他标志物相比,TyG-BMI 对 MAFLD 具有更好的预测能力。
TyG-BMI 是预测 MAFLD 的一种有效、简单且有前景的工具,尤其适用于消瘦和女性人群。