PSUN166 Triglycerides and Glucose Index as a Predictor of Renal Impairment

Abstract

Abstract Background Metabolic syndrome closely associated with development of various chronic complications, including impaired kidney function. However, previous indices for insulin resistance (IR) have some limitation in precision estimating metabolic abnormality. Objective We investigate that higher triglycerides x glucose index (TyG) may be an alternative to predicting early impairment of kidney function. We analyzed biochemical and spirometry data from a nation-wide, population-based, case-control study (the KNHNES IV and V). The homeostasis model assessment, the quantitative insulin sensitivity check index, and TyG were uses as a surrogate marker of IR. Eligibles as cases were all native Korean who were aged 20 years or more and had no any medical illness. Results A total of 14534 participants were divided into 2 groups according to estimated glomerular filtration rate (eGFR, mL·min-1·1.73 m-2) as follows: Group I (n = 10189), ≥ 90 and ≤ 120; and Group II (n = 4345), ≥ 60 and < 90. Group I had lower TyG (8.43 ± 0.01 vs. 8.60 ± 0.01, P<0.0001) as compared with group II. Linear regression showed that TyG was closely associated with UACR (β = -3.3978, P<0.0001). Logistic regression analysis showed that TyG was closely associated with early impairment of kidney function (OR = 1.519, 95% CI = 1.421-1.623), and further adjustment did not attenuated this association (OR = 1.103, 95% CI = 1.005-1.210). Conclusions In this study, we demonstrated that TyG may be useful indicator of early renal impairment. To confirm these findings, large population-based prospective clinical should be needed. Presentation: Sunday, June 12, 2022 12:30 p.m. - 2:30 p.m.