Development and Validation of an Integrated Metabolism‐Obesity Index for Screening Renal Impairment in Patients With Newly Diagnosed Type 2 Diabetes Mellitus

作者：Xiangying Zhu, X. Li, Z. Y. Wang, Meixia Ji, Xiaoxiao Ji, Lihong Jin, Chunlai Zeng, Yuanliang Gu · 发表于：Journal of Diabetes Research · 年份：2026 · DOI：10.1155/jdr/5164386 · 研究领域：Chronic Kidney Disease and Diabetes、Dialysis and Renal Disease Management、Diabetes, Cardiovascular Risks, and Lipoproteins

BACKGROUND: Diabetic kidney disease, a severe diabetes microvascular complication affecting 30%~40% of diabetic patients, raises end-stage renal disease and mortality risks. This study is aimed at developing and validate a novel index combining obesity measures and metabolic parameters to screen renal impairment in newly diagnosed T2DM patients. METHODS: and/or urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g. Obesity- or metabolism-related indicators were collected. Significantly independent indicators were selected via bidirectional stepwise regression in the modeling patients to develop a comprehensive index termed InMOI. In the validation patients, restricted cubic spline analysis examined the dose-response relationship between InMOI and renal impairment, whereas ROC curves assessed the screening performance. RESULTS: The triglyceride-glucose index (TyG) combined with various obesity measures showed significant associations with renal impairment. The InMOI, derived from TyG-BMI and TyG-waist to hip ratio (TyG-WHR), demonstrated a linear dose-response relationship with the odds ratio for renal impairment. InMOI achieved an AUC of 0.78 for identifying renal impairment. Optimizing the index by replacing WHR with the visceral-to-subcutaneous fat area ratio measured by DEXA, the modified InMOI (m-InMOI) showed a better performance (AUC = 0.81). CONCLUSION: This study underscores the value of metabolism-obesity indices in early detection of diabetic renal damage and highlig...