Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes

Bibliographic Details
Title: Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes
Authors: Seyed Ali Nabipoorashrafi, Azam Adeli, Seyed Arsalan Seyedi, Soghra Rabizadeh, Razman Arabzadeh Bahri, Fatemeh Mohammadi, Amirhossein Yadegar, Manouchehr Nakhjavani, Alireza Esteghamati
Source: European Journal of Medical Research, Vol 28, Iss 1, Pp 1-8 (2023)
Publisher Information: BMC, 2023.
Publication Year: 2023
Collection: LCC:Medicine
Subject Terms: Chronic kidney disease, Lipid accumulation product index, Triglyceride-glucose index, Visceral adiposity index, Diabetes mellitus, Medicine
More Details: Abstract Purpose Diabetes is the leading cause of kidney disease. Up to 40% of the population with diabetes experience diabetic kidney disease (DKD). The correlation of DKD with insulin resistance (IR) indices has been shown in previous studies. In this study, the objective was to evaluate surrogate IR indices, including the Triglyceride-Glucose (TyG) index, Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) to find the most valuable index for the correlation between albuminuria and IR in the type 2 diabetes (T2D) population. Albuminuria is defined as urine albumin excretion of > 30 mg/day. Methods In this cross-sectional study, 2934 participants were enrolled and evaluated for urinary albumin excretion, and albuminuria was detected in 526 of the entries. The logistic regression models and Receiver Operating Characteristic (ROC) curve analysis were performed to assess the relationship of TyG index, VAI, LAP, and HOMA-IR's with albuminuria in patients with T2D. Results The TyG index had the highest association (OR 1.67) with the presence of albuminuria in patients with T2D, followed by HOMA-IR (OR 1.127), VAI (OR 1.028), and LAP (OR 1.004). These four indices remained independent after adjustment for multiple confounders. Based on the ROC curve, TyG revealed the best area under the curve (AUC) for revealing albuminuria with sufficient accuracy (AUC: 0.62) in comparison with other measured indices. The calculated TyG index cut-off point for the presence of albuminuria was 9.39. Conclusion Among the indices, TyG index had the most significant correlation with albuminuria in patients with T2D.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2047-783X
Relation: https://doaj.org/toc/2047-783X
DOI: 10.1186/s40001-023-01134-2
Access URL: https://doaj.org/article/108cce330f2d4ff294a669fc5691f37d
Accession Number: edsdoj.108cce330f2d4ff294a669fc5691f37d
Database: Directory of Open Access Journals
More Details
ISSN:2047783X
DOI:10.1186/s40001-023-01134-2
Published in:European Journal of Medical Research
Language:English