Diagnostic Accuracy of the Triglyceride-Glucose (TyG) Index for Identifying Advanced Chronic Kidney Disease in Type 2 Diabetes: A Cross-Sectional Analysis
DOI:
https://doi.org/10.37275/bsm.v10i6.1604Keywords:
Chronic kidney disease, Diagnostic accuracy, Insulin resistance, Triglyceride-glucose index, Type 2 diabetesAbstract
Background: Chronic kidney disease (CKD) is a debilitating microvascular complication of type 2 diabetes mellitus (T2DM), fundamentally exacerbated by systemic insulin resistance and glucolipotoxicity. The triglyceride-glucose (TyG) index is emerging as a practical surrogate for insulin resistance. This study aims to evaluate the diagnostic accuracy of the TyG index in identifying advanced CKD among adults with T2DM.
Methods: A cross-sectional analysis was conducted on 44 adult T2DM patients with CKD at a tertiary referral hospital. To establish an adequate diagnostic threshold, advanced CKD was explicitly defined as an estimated glomerular filtration rate (eGFR) < 30 mL/min/1.73 m2 (Stages IV and V). Patients were statistically stratified into three equal tertiles based on their TyG index. Diagnostic performance was evaluated using the Receiver Operating Characteristic (ROC) curve analysis.
Results: The median eGFR demonstrated a severe, statistically significant decline across increasing TyG tertiles (Tertile I: 54.09; Tertile II: 36.42; Tertile III: 19.12 mL/min/1.73 m2; p < 0.001). ROC analysis revealed a strong diagnostic profile for identifying advanced CKD, yielding an Area Under the Curve (AUC) of 0.756 (95% CI: 0.595–0.916, p = 0.002). An optimal cut-off value of 8.81 provided a sensitivity of 89.5% (95% CI: 66.9–98.7%), a specificity of 60.0% (95% CI: 38.7–78.9%), a positive predictive value of 63.0% (95% CI: 42.4–80.6%), and a negative predictive value of 88.2% (95% CI: 63.6–98.5%).
Conclusion: The TyG index is strongly associated with renal decline in T2DM. It serves as a highly accessible, adjunctive screening tool to stratify patients at risk for severe renal impairment.
Authors
- Mathias Wahyu Manumpak Lumbantobing1*
- Nindia Sugih Arto1
- Sylvia Youvella1
- Ricke Loesnihari1
- Mohammad Riza Lubis1
- Ranti Permata Sari1
- 1Department of Clinical Pathology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia
Corresponding author Mathias Wahyu Manumpak Lumbantobing — mathiastobinks@gmail.com
Article history
- Submitted
- Accepted
- Published
Downloads
Published
Issue
Section
License
Copyright and licensing
Copyright in each article remains with the author(s). Authors grant Bioscientia Medicina: Journal of Biomedicine and Translational Research a non-exclusive right of first publication and the right to identify itself as the original publisher. No exclusive transfer of copyright is required.
All articles are published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0): https://creativecommons.org/licenses/by-nc-sa/4.0/. Users may copy, redistribute, remix, transform, and build upon the material for non-commercial purposes, provided appropriate attribution is given, a link to the license is supplied, changes are indicated, and adaptations are distributed under the same license.
The license applies to the article's scholarly content unless a credit line states otherwise. Third-party material may be subject to separate rights. Authors retain patent, trademark, moral, and research-data rights. The copyright year follows the article's publication date.











