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Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes
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 indi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170852/ https://www.ncbi.nlm.nih.gov/pubmed/37161502 http://dx.doi.org/10.1186/s40001-023-01134-2 |
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author | Nabipoorashrafi, Seyed Ali Adeli, Azam Seyedi, Seyed Arsalan Rabizadeh, Soghra Arabzadeh Bahri, Razman Mohammadi, Fatemeh Yadegar, Amirhossein Nakhjavani, Manouchehr Esteghamati, Alireza |
author_facet | Nabipoorashrafi, Seyed Ali Adeli, Azam Seyedi, Seyed Arsalan Rabizadeh, Soghra Arabzadeh Bahri, Razman Mohammadi, Fatemeh Yadegar, Amirhossein Nakhjavani, Manouchehr Esteghamati, Alireza |
author_sort | Nabipoorashrafi, Seyed Ali |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10170852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101708522023-05-11 Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes Nabipoorashrafi, Seyed Ali Adeli, Azam Seyedi, Seyed Arsalan Rabizadeh, Soghra Arabzadeh Bahri, Razman Mohammadi, Fatemeh Yadegar, Amirhossein Nakhjavani, Manouchehr Esteghamati, Alireza Eur J Med Res Research 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. BioMed Central 2023-05-10 /pmc/articles/PMC10170852/ /pubmed/37161502 http://dx.doi.org/10.1186/s40001-023-01134-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Nabipoorashrafi, Seyed Ali Adeli, Azam Seyedi, Seyed Arsalan Rabizadeh, Soghra Arabzadeh Bahri, Razman Mohammadi, Fatemeh Yadegar, Amirhossein Nakhjavani, Manouchehr Esteghamati, Alireza Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes |
title | Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes |
title_full | Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes |
title_fullStr | Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes |
title_full_unstemmed | Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes |
title_short | Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes |
title_sort | comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170852/ https://www.ncbi.nlm.nih.gov/pubmed/37161502 http://dx.doi.org/10.1186/s40001-023-01134-2 |
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