Abstract
INTRODUCTION: The triglyceride-glucose index (TyG) has been identified as a dependable and simple indicator marker of insulin resistance (IR). Research has demonstrated a correlation between macrovascular complications and TyG. However, limited research exists regarding the relationship between TyG and diabetic microvascular complications. Consequently, the objective of this study is to investigate the association between TyG and diabetic kidney disease (DKD) and diabetic peripheral neuropathy (DPN). METHODS: This is a cross-sectional, observational study. A total of 2048 patients from Tongren Hospital, Shanghai Jiao Tong University School of Medicine were enrolled. The primary outcomes are DKD and DPN. Quantile regression analysis was employed to investigate the implicit factors of TyG quartiles. Subsequently, based on implicit factors, logistic regression models were constructed to further examine the relationship between TyG and DKD and DPN. RESULTS: In the baseline, TyG exhibited higher values across patients with DKD, DPN, and co-existence of DKD and DPN (DKD + DPN) in type 2 diabetes (T2D). Univariate logistic regressions demonstrated a significant association between an elevated TyG and an increased risk of DKD (OR = 1.842, [95% CI] 1.317-2.578, P for trend < 0.01), DPN (OR = 1.516, [95% CI] 1.114-2.288, P for trend < 0.05), DKD + DPN (OR = 2.088, [95% CI] 1.429-3.052, P for trend < 0.05). Multivariable logistic regression models suggested a statistically significant increase in the risk of DKD (OR = 1.581, [95% CI] 1.031-2.424, p < 0.05), DKD + DPN (OR = 1.779, [95% CI] 1.091-2.903, p < 0.05) after adjusting the implicit factors of TyG quartiles. However, no significant relationship was observed between TyG and DPN in the multivariable regression analysis. CONCLUSIONS: Elevated TyG was significantly associated with an increased risk of DKD in T2D, but no significant relationship was shown with DPN. This finding provided further evidence for the clinical significance of integrating TyG into the initial assessment of diabetic microvascular complications.