HOME   |    PDF   |   


Title

Triglyceride glucose index versus triglyceride glucose-BMI index in non-alcoholic fatty liver disease: A correlation with steatosis and fibrosis

 

Authors

Aditya Joshi1, Deepak Tangadi2 & Ankit Kumar Tiwari3,*

 

Affiliation

1Department of Medicine, Government Medical College, Jammu, Jammu & Kashmir, India; 2Department of Biochemistry, SSIMS & Research Centre, Davangere, Karnataka, India; 3Department of Biochemistry, Autonomous State Medical College, Kaushambi, Uttar Pradesh, India; *Corresponding author

 

Email

Aditya Joshi - E-mail: drpu237@gmail.com; Phone: +91 9571648843

Deepak Tangadi - E-mail: deepakstangadi@gmail.com; Phone: +91 9711093963

Ankit Kumar Tiwari - E-mail: biochemistankit@gmail.com; Phone: +91 8601335412

 

Article Type

Research Article

 

Date

Received April 1, 2026; Revised April 30, 2026; Accepted April 30, 2026, Published April 30, 2026

 

Abstract

Non-alcoholic fatty liver disease (NAFLD) links to insulin resistance and cardiometabolic risk, yet cost-effective markers like TyG and TyG-BMI indices for predicting steatosis and fibrosis severity remain under-evaluated in resource-limited settings. This retrospective cross-sectional study at GMC Jammu analyzed 500 NAFLD patients over 1 year, comparing TyG versus TyG-BMI diagnostic value against ultrasonographic steatosis grades and elastographic fibrosis scores using clinical/biochemical records. Both indices rose significantly with advancing steatosis and fibrosis, with TyG-BMI showing stronger correlations with hepatic severity than TyG alone, reflecting the integrated adiposity measures. TyG-BMI demonstrated enhanced predictive performance for NAFLD progression, offering a simple, non-invasive alternative to imaging in high-burden populations. This validates TyG-BMI as a superior, affordable surrogate for risk stratification and NAFLD management in resource-constrained clinical practice.

 

Keywords

Non-alcoholic fatty liver disease, triglyceride glucose index, BMI index, steatosis

 

Citation

Joshi et al. Bioinformation 22(4): 2092-2096 (2026)

 

Edited by

Vini Mehta

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.