Background
Studies have shown that incident albuminuria is associated with insulin resistance (IR); however, an IR marker that best predicts the prevalence of albuminuria has not yet been established. This study explored the association between IR and incident albuminuria using various IR indices, including the homeostasis model assessment of IR (HOMA-IR), metabolic score for IR (METS-IR), and triglyceride-glucose (TyG) index, and compared their predictive abilities for the prevalence of albuminuria.
Methods
A total of 4,982 Korean adults from the 2019 Korea National Health and Nutritional Examination Survey were analyzed. The odds of albuminuria were determined using the quartiles of the IR indices. Receiver operating characteristic (ROC) curves were used to calculate the area under the ROC curve and predictability. The cutoff values for albuminuria detection were also computed.
Results
An increase in the quartiles of all three IR indices was associated with incident albuminuria, even after full adjustment for covariates (HOMA-IR: odds ratio [OR], 1.906; 95% confidence interval [CI], 1.311–2.772; P=0.006; METS-IR: OR, 2.236; 95% CI, 1.353–3.694; P=0.002; TyG index: OR, 1.757; 95% CI, 1.213–2.544; P=0.003). The area under the ROC curve for incident albuminuria based on the HOMA-IR, METS-IR, and TyG indices was 0.594 (95% CI, 0.568–0.619), 0.633 (95% CI, 0.607–0.659), and 0.631 (95% CI, 0.606–0.656), respectively. The optimal cutoff values for predicting albuminuria were 2.38, 35.38, and 8.72 for the HOMA-IR, METS-IR, and TyG indices, respectively.
Conclusion
The METS-IR and TyG indices outperformed HOMA-IR in predicting incident albuminuria.

Citations

• Propensity score analysis of triglyceride-glucose index in newly diagnosed patients with essential hypertension as a predictor of microalbuminuria
  Nuoni Wang, Shihao Liu, Wei Wang, Yicheng Zou, Liangqing Ge, Sulan Huang
  Frontiers in Endocrinology.2026;[Epub]     CrossRef
• Metabolic syndrome and kidney dysfunction: emerging molecular and cellular mechanisms at the metabolic–renal interface
  William R. Marshall, Darren Green, Smeeta Sinha, Philip A. Kalra
  Frontiers in Endocrinology.2026;[Epub]     CrossRef
• Inverse Association Between METS-IR and Lung Cancer Risk: The Role of BMI in a Nationwide Korean Cohort
  Bo-Kyung Shine, In Hwa Jeong, Minkook Son, Bongjo Kim, Sang Yi Moon, Jong Yoon Lee, Hye Ryeon Kim, Seok Jae Huh
  Cancers.2025; 17(23): 3727.     CrossRef
• The U-shape relationship between insulin resistance-related indexes and chronic kidney disease: a retrospective cohort study from National Health and Nutrition Examination Survey 2007–2016
  Ruihua Shen, Ling Lin, Zexuan Bin, Xi Qiao
  Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef