Work

Predictive value of triglyceride glucose index in non-obese non-alcoholic fatty liver disease

Year: 2025
Type: article
Study design: Observational Study
Abstract: OBJECTIVES: A large number of patients with non-obese non-alcoholic fatty liver disease (NAFLD) in China remain undiagnosed and untreated due to insufficient awareness and ineffective pharmacotherapy. Therefore, a convenient, predictive marker and diagnostic tools are imperative. This study aimed to investigate the ability of the triglyceride glucose index (TyG) in predicting non-obese NAFLD. DESIGN: An observational cross-sectional study. SETTING: Department of Health Management, large urban academic medical centre and DRYAD database data. PARTICIPANTS: This study included 456 patients with non-obese NAFLD and matched 456 non-fatty liver controls according to age, sex and body mass index (BMI). PRIMARY AND SECONDARY OUTCOME MEASURES: The receiver operating characteristic (ROC) curve was used to evaluate the predictive role of the TyG index in non-obese NAFLD. Based on the TyG index, a clinical prediction model for non-obese NAFLD was constructed, then the prediction model was verified by the DRYAD database (n=11 562). RESULTS: TyG in non-obese NAFLD was higher than that in controls (9.00 (8.66-9.40) vs 8.46 (8.10-8.83), p<0.001). Logistic regression analysis showed that TyG was an independent risk factor for non-obese NAFLD (OR=9.03, 95% CI: 5.46 to 14.94, p<0.001). ROC analysis showed that the area under the curve (AUC) was 0.78, the sensitivity was 82.5%, the specificity was 60.5%. Based on the TyG index, sex, age and BMI, the AUC of the predictive model for non-obese NAFLD was 0.78 (95% CI: 0.75 to 0.81, p<0.001). Using the DRYAD database to verify the prediction model, the AUC of the verification group was 0.85 (95% CI: 0.84 to 0.86, p<0.001). CONCLUSIONS: The high level of the TyG may be an independent risk factor for non-obese NAFLD. The prediction model for non-obese NAFLD based on the TyG index has good clinical prediction value.
Source: BMJ Open
Authors: Xiaopeng Zhu, Fang Sun, Xia Gao, He Liu, ZhongYan Luo, Yijian Sun, Liqi Fan, Juan Deng
Language: English
Subfield: Epidemiology
Field: Medicine
Open Access status: gold
Estimated APC paid: $1,839
OpenAlex ID: W4409308708
FWCI: 1.246
Cites: 40
Cited by: 2
Related to: 10