The threshold effect of triglyceride glucose index on diabetic kidney disease risk in patients with type 2 diabetes: unveiling a non-linear association

Huabin Wang, Guangming Chen, Dongmei Sun, Yongjun Ma
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Abstract

Previous studies have confirmed that the triglyceride glucose (TyG) index, recognized as a reliable marker of insulin resistance, is an important risk factor for diabetic kidney disease (DKD). However, it is still unclear whether the DKD risk continues to increase linearly with the elevation of TyG index. This study aimed to thoroughly investigated the intrinsic relationship between TyG index and DKD risk in type 2 diabetes (T2D).This cross-sectional study included 933 patients with T2D in China, who were categorized into DKD and non-DKD groups and stratified by TyG index levels. Logistic regression analysis identified the independent risk factors for DKD. The association between DKD risk and TyG index was evaluated using the restricted cubic spline (RCS) curves analysis. The R package ‘CatPredi’ was utilized to determine the optimal cut-off point for the relationship between DKD risk and TyG index, followed by threshold effect analysis.The prevalence of DKD was 33.01%. After adjusting for confounding factors, TyG index was identified as a prominent clinical risk factor for DKD, showing the highest odds ratio (OR 1.57 (1.26 - 1.94), P<0.001). RCS analysis revealed a non-linear relationship with a threshold interval effect between the TyG index and DKD risk. When TyG index ≤ 9.35, DKD risk plateaued at a low level; however, when TyG index > 9.35, DKD risk increased gradually with rising TyG index. Among patients with TyG index > 9.35, each 1-unit increase was associated with a 1.94-fold increased DKD risk (OR=1.94 (1.10 - 3.43), P=0.022).The DKD risk presented a threshold effect with the increase of TyG index, initially stable at a low level, and then gradually rising when the TyG index is above 9.35.
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甘油三酯血糖指数对 2 型糖尿病患者糖尿病肾病风险的阈值效应:揭示非线性关系
以往的研究证实,甘油三酯葡萄糖(TyG)指数是胰岛素抵抗的可靠标志,是糖尿病肾病(DKD)的重要风险因素。然而,糖尿病肾病的风险是否会随着 TyG 指数的升高而继续呈线性增加,目前仍不清楚。这项横断面研究纳入了中国的933名T2D患者,将他们分为DKD组和非DKD组,并根据TyG指数水平进行分层。逻辑回归分析确定了DKD的独立风险因素。采用限制性三次样条曲线(RCS)分析评估了DKD风险与TyG指数之间的关联。利用R软件包 "CatPredi "确定了DKD风险与TyG指数之间关系的最佳临界点,然后进行了阈值效应分析。在对混杂因素进行调整后,TyG 指数被确定为 DKD 的主要临床风险因素,显示出最高的几率比(OR 1.57 (1.26 - 1.94),P 9.35),DKD 风险随着 TyG 指数的升高而逐渐增加。在TyG指数大于9.35的患者中,每增加1个单位,DKD风险就增加1.94倍(OR=1.94 (1.10 - 3.43),P=0.022)。DKD风险随着TyG指数的增加而呈现阈值效应,最初稳定在较低水平,当TyG指数大于9.35时,DKD风险逐渐上升。
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