Scholarlink

Background <p>Diabetic kidney disease (DKD) is the primary cause of end-stage renal failure, yet current screening methods show limited early detection sensitivity.</p> Objective <p>This study assessed the cross-sectional association of TyG-ABSI—combining triglyceride-glucose index and a body shape index to reflect insulin resistance and visceral fat distribution—with prevalent DKD in US adults.</p> Methods <p>Data were analyzed from 22,106 adults participating in the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. Indices computed encompassed the triglyceride-glucose index (TyG), TyG-body mass index (TyG-BMI), TyG-waist-to-height ratio (TyG-WHtR), and TyG-ABSI. The links between these indicators and DKD underwent evaluation through multivariable logistic regression, receiver operating characteristic (ROC) curve analysis, restricted cubic spline (RCS) modelling, and threshold effect analysis.</p> Results <p>After adjusting for confounders, all indicators showed positive associations with DKD. TyG-ABSI (AUC = 0.79) outperformed TyG-WHtR (0.77), TyG (0.75), and TyG-BMI (0.70). RCS analysis revealed a linear dose-response association between TyG-ABSI and the prevalence of DKD without threshold effects.</p> Conclusions <p>TyG-ABSI demonstrates superior discriminative ability (AUC = 0.79) over TyG, TyG-BMI, and TyG-WHtR for identifying prevalent DKD. Its linear dose-response association with DKD prevalence suggests no “safe threshold.” As an economical, noninvasive marker using routine measurements, TyG-ABSI shows promise as a screening aid for identifying individuals with prevalent DKD in both developed and developing countries, particularly benefiting resource-constrained healthcare settings; its prognostic value, however, requires confirmation in prospective cohort studies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Association of triglyceride-glucose-body shape index with prevalent diabetic kidney disease among US adults

  • 期刊论文

  • 发表日期：

    2026年7月24日

查看全文
  • Li Jin,
  • Peng Xu,
  • Ziying Peng,
  • Zuoxun Xia

摘要

Background

Diabetic kidney disease (DKD) is the primary cause of end-stage renal failure, yet current screening methods show limited early detection sensitivity.

Objective

This study assessed the cross-sectional association of TyG-ABSI—combining triglyceride-glucose index and a body shape index to reflect insulin resistance and visceral fat distribution—with prevalent DKD in US adults.

Methods

Data were analyzed from 22,106 adults participating in the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. Indices computed encompassed the triglyceride-glucose index (TyG), TyG-body mass index (TyG-BMI), TyG-waist-to-height ratio (TyG-WHtR), and TyG-ABSI. The links between these indicators and DKD underwent evaluation through multivariable logistic regression, receiver operating characteristic (ROC) curve analysis, restricted cubic spline (RCS) modelling, and threshold effect analysis.

Results

After adjusting for confounders, all indicators showed positive associations with DKD. TyG-ABSI (AUC = 0.79) outperformed TyG-WHtR (0.77), TyG (0.75), and TyG-BMI (0.70). RCS analysis revealed a linear dose-response association between TyG-ABSI and the prevalence of DKD without threshold effects.

Conclusions

TyG-ABSI demonstrates superior discriminative ability (AUC = 0.79) over TyG, TyG-BMI, and TyG-WHtR for identifying prevalent DKD. Its linear dose-response association with DKD prevalence suggests no “safe threshold.” As an economical, noninvasive marker using routine measurements, TyG-ABSI shows promise as a screening aid for identifying individuals with prevalent DKD in both developed and developing countries, particularly benefiting resource-constrained healthcare settings; its prognostic value, however, requires confirmation in prospective cohort studies.