Value of triglyceride-glucose index combined with obesity index in predicting nonalcoholic fatty liver disease in individuals with obstructive sleep apnea
10.3969/j.issn.1001-5256.2023.03.010
- VernacularTitle:甘油三酯葡萄糖乘积指数联合肥胖指标对阻塞性睡眠呼吸暂停患者发生非酒精性脂肪性肝病的预测价值
- Author:
Rong JIANG
1
;
Yongxia LI
1
Author Information
1. Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China
- Publication Type:Original Article_Fatty Liver Disease
- Keywords:
Sleep Apnea, Obstructive;
Non-alcoholic Fatty Liver Disease;
Triglyceride-Glucose Index;
Body Mass Index;
Waist Circumference
- From:
Journal of Clinical Hepatology
2023;39(3):546-551
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of triglyceride-glucose index (TyG), TyG combined with body mass index (BMI), and TyG combined with waist circumference (WC) in predicting nonalcoholic fatty liver disease (NAFLD) in patients with obstructive sleep apnea (OSA). Methods A retrospective analysis was performed for 190 patients who underwent sleep respiratory monitoring and were diagnosed with OSA in The Second Affiliated Hospital of Kunming Medical University from January 2020 to December 2021, and according to the results of ultrasonography, they were divided into OSA+NAFLD group with 107 patients and control group with 83 patients. The t -test or the Mann Whitney U test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups. The binary logistic regression analysis was used to explore the influencing factors for the development of NAFLD in patients with OSA. The receiver operating characteristic (ROC) curve was plotted for TyG, TyG combined with BMI, and TyG combined with WC in predicting NAFLD in the patients with OSA, and the area under the ROC curve (AUC) was calculated. The Z test was used for comparison of AUC. Results Compared with the control group, the OSA+NAFLD group had significantly higher BMI, neck circumference, WC, apnea-hypopnea index, oxygen desaturation index, alanine aminotransferase, gamma-glutamyltransferase, triglyceride, fasting plasma glucose, and TyG and significantly lower age, average SpO 2 , LSaO 2 , and high-density lipoprotein cholesterol (all P < 0.05). The binary logistic regression analysis showed that TyG (odds ratio [ OR ]=1.961, 95% confidence interval [ CI ]: 1.03-3.73, P =0.04), BMI ( OR =1.203, 95% CI : 1.03-1.41, P =0.020), and WC ( OR =1.074, 95% CI : 1.01-1.14, P =0.026) were independent risk factors for NAFLD in patients with OSA. TyG, TyG combined with BMI, and TyG combined with WC had an AUC of 0.696 (95% CI : 0.625-0.760), 0.787 (95% CI : 0.722-0.843), and 0.803 (95% CI : 0.739-0.857), respectively, in predicting NAFLD in OSA patients, with an optimal cut-off value of 8.72, 0.36, and 0.60, respectively. TyG combined with BMI had a significantly higher value than TyG in predicting NAFLD in OSA patients ( Z =2.542, P =0.011), and TyG combined with WC also had a significantly higher predictive value than TyG ( Z =2.976, P =0.002 9). Conclusion TyG, TyG combined with BMI, and TyG combined with WC have a good value in predicting NAFLD in OSA patients, among which TyG combined with WC has the best predictive value and is thus expected to become a predictor for the risk of NAFLD in OSA patients.
