Bioscientia Medicina : Journal of Biomedicine and Translational Research
Vol. 10 No. 6 (2026): Bioscientia Medicina: Journal of Biomedicine & Translational Research

Diagnostic Accuracy of the Triglyceride-Glucose (TyG) Index for Identifying Advanced Chronic Kidney Disease in Type 2 Diabetes: A Cross-Sectional Analysis

Mathias Wahyu Manumpak Lumbantobing (Department of Clinical Pathology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia)
Nindia Sugih Arto (Department of Clinical Pathology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia)
Sylvia Youvella (Department of Clinical Pathology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia)
Ricke Loesnihari (Department of Clinical Pathology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia)
Mohammad Riza Lubis (Department of Clinical Pathology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia)
Ranti Permata Sari (Department of Clinical Pathology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia)



Article Info

Publish Date
10 Apr 2026

Abstract

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.

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Journal Info

Abbrev

bsm

Publisher

Subject

Biochemistry, Genetics & Molecular Biology Immunology & microbiology Medicine & Pharmacology Neuroscience

Description

BioScientia Medicina is an open access international scholarly journal in the field of biomedicine and translational research aimed to publish a high-quality scientific paper including original research papers, reviews, short communication, and technical notes. This journal welcomes the submission ...