Association between triglyceride glucose-body mass index and non-alcoholic fatty liver disease in the non-obese Chinese population with normal blood lipid levels: a secondary analysis based on a prospective cohort study

被引:32
|
作者
Li, Yaling [1 ]
Zheng, Rui [2 ]
Li, Jie [1 ]
Feng, Shuyi [1 ]
Wang, Li [1 ]
Huang, Zhiming [1 ]
机构
[1] Wenzhou Med Univ, Affiliated Hosp 1, Dept Gastroenterol, Wenzhou 325000, Zhejiang, Peoples R China
[2] Wenzhou Med Univ, Affiliated Hosp 1, Dept Intens Care Unit, Wenzhou 325000, Zhejiang, Peoples R China
关键词
Insulin resistance; Triglyceride; Fasting plasma glucose; Non-alcoholic fatty liver disease; Body mass index; Triglyceride glucose body mass index; Secondary analysis; Association; DENSITY-LIPOPROTEIN CHOLESTEROL; INSULIN-RESISTANCE; INDEPENDENT PREDICTOR; PREVALENCE; PRODUCT; REGRESSION; DIAGNOSIS; SMOKING; HOMA;
D O I
10.1186/s12944-020-01409-1
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background Both triglyceride glucose-body mass index (TyG-BMI) and non-alcoholic fatty liver disease (NAFLD) are linked to insulin resistance (IR). Prospective studies linking TyG-BMI to NAFLD have been limited by short follow-up. This study investigated the longitudinal association between TyG-BMI and NAFLD occurrence in the non-obese Chinese individuals. Methods This study determined TyG-BMI at baseline and the incidence of NAFLD at follow-up and performed a post hoc analysis of a prospective cohort study that involved assessing the risk of NAFLD in non-obese Chinese residents from January 2010 to December 2014. The incidence of NAFLD during the 5-year follow-up was identified as the endpoint. Cox proportional hazards regression analysis was used to evaluate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the incidence of NAFLD. Receiver operating characteristic (ROC) curve analysis was conducted to estimate the predictive power of TyG-BMI and its components for NAFLD. Subgroup analysis was performed to better understand other factors that may affect the association between TyG-BMI and NAFLD to identify potential special populations. Results During the follow-up period, 841 (8.61%) of 9767 non-obese subjects who met the screening criteria were diagnosed with NAFLD. After confounding factors were fully adjusted for, the HR of NAFLD was 3.09 (95% CI 2.63-3.63) per standard deviation (SD) increase in TyG-BMI. Furthermore, TyG-BMI had a strong predictive value (area under ROC = 0.85; 95% CI 0.84-0.86) for the incidence of NAFLD, with a specificity of 0.73 and sensitivity of 0.82. Additionally, in the male population, each SD increase in TyG-BMI was linked to an increased risk of NAFLD (HR = 2.85, 95% CI 2.30-3.53), but the risk was higher in the female population (HR = 3.58, 95% CI 2.80-4.60). Gender and TyG-BMI interacted significantly with NAFLD incidence (P < 0.0001). Conclusion In the normolipidaemic and non-obese subset of the Chinese population, an increase in TyG-BMI is related to an increased incidence of NAFLD. TyG-BMI may have clinical significance in identifying groups at high risk of NAFLD.
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页数:11
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