Correspondence: insulin resistance and chronic kidney disease in patients without diabetes
Abstract Future investigations on the association between insulin resistance in people without diabetes and chronic kidney disease (CKD) should consider the following aspects to facilitate causal inference and provide more robust findings. The study design should have an adequate follow-up period to...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-02-01
|
Series: | BMC Nephrology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12882-025-04005-6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1825197646492467200 |
---|---|
author | Hong Tham Pham Kim-Huong Truong-Nguyen Minh-Hoang Tran |
author_facet | Hong Tham Pham Kim-Huong Truong-Nguyen Minh-Hoang Tran |
author_sort | Hong Tham Pham |
collection | DOAJ |
description | Abstract Future investigations on the association between insulin resistance in people without diabetes and chronic kidney disease (CKD) should consider the following aspects to facilitate causal inference and provide more robust findings. The study design should have an adequate follow-up period to rule out reverse causation and pre-existing diabetes, as well as to confirm the diagnosis of CKD. Known causes of CKD and relevant covariates should be identified where possible. Homeostasis model assessment of insulin resistance (HOMA-IR), being an indirect measure of insulin resistance, has limited sensitivity and specificity compared to direct methods like the hyperinsulinaemic-euglycaemic clamp. Regression modelling with HOMA-IR quartiles instead of continuous form may have masked more nuanced relationships. Sensitivity analyses, such as spline regression, could provide more insights about the association and mechanism. Propensity score methods could help address the inadequate overlap in covariate distributions, if present, by ensuring covariate balance. When investigating the CKD diagnostic performance of HOMA-IR, its cut-off for clinically meaningful insulin resistance should be well justified or comprehensively explored to improve the reliability of the results. |
format | Article |
id | doaj-art-9926b7e34dc446a5b74db74c354ca039 |
institution | Kabale University |
issn | 1471-2369 |
language | English |
publishDate | 2025-02-01 |
publisher | BMC |
record_format | Article |
series | BMC Nephrology |
spelling | doaj-art-9926b7e34dc446a5b74db74c354ca0392025-02-09T12:16:53ZengBMCBMC Nephrology1471-23692025-02-012611310.1186/s12882-025-04005-6Correspondence: insulin resistance and chronic kidney disease in patients without diabetesHong Tham Pham0Kim-Huong Truong-Nguyen1Minh-Hoang Tran2Faculty of Pharmacy, Nguyen Tat Thanh UniversityDepartment of Pharmacy, Nhan Dan Gia Dinh HospitalNTT Hi-Tech Institute, Nguyen Tat Thanh UniversityAbstract Future investigations on the association between insulin resistance in people without diabetes and chronic kidney disease (CKD) should consider the following aspects to facilitate causal inference and provide more robust findings. The study design should have an adequate follow-up period to rule out reverse causation and pre-existing diabetes, as well as to confirm the diagnosis of CKD. Known causes of CKD and relevant covariates should be identified where possible. Homeostasis model assessment of insulin resistance (HOMA-IR), being an indirect measure of insulin resistance, has limited sensitivity and specificity compared to direct methods like the hyperinsulinaemic-euglycaemic clamp. Regression modelling with HOMA-IR quartiles instead of continuous form may have masked more nuanced relationships. Sensitivity analyses, such as spline regression, could provide more insights about the association and mechanism. Propensity score methods could help address the inadequate overlap in covariate distributions, if present, by ensuring covariate balance. When investigating the CKD diagnostic performance of HOMA-IR, its cut-off for clinically meaningful insulin resistance should be well justified or comprehensively explored to improve the reliability of the results.https://doi.org/10.1186/s12882-025-04005-6Insulin resistanceChronic kidney diseaseReverse causationPrediabetesMetabolic disease |
spellingShingle | Hong Tham Pham Kim-Huong Truong-Nguyen Minh-Hoang Tran Correspondence: insulin resistance and chronic kidney disease in patients without diabetes BMC Nephrology Insulin resistance Chronic kidney disease Reverse causation Prediabetes Metabolic disease |
title | Correspondence: insulin resistance and chronic kidney disease in patients without diabetes |
title_full | Correspondence: insulin resistance and chronic kidney disease in patients without diabetes |
title_fullStr | Correspondence: insulin resistance and chronic kidney disease in patients without diabetes |
title_full_unstemmed | Correspondence: insulin resistance and chronic kidney disease in patients without diabetes |
title_short | Correspondence: insulin resistance and chronic kidney disease in patients without diabetes |
title_sort | correspondence insulin resistance and chronic kidney disease in patients without diabetes |
topic | Insulin resistance Chronic kidney disease Reverse causation Prediabetes Metabolic disease |
url | https://doi.org/10.1186/s12882-025-04005-6 |
work_keys_str_mv | AT hongthampham correspondenceinsulinresistanceandchronickidneydiseaseinpatientswithoutdiabetes AT kimhuongtruongnguyen correspondenceinsulinresistanceandchronickidneydiseaseinpatientswithoutdiabetes AT minhhoangtran correspondenceinsulinresistanceandchronickidneydiseaseinpatientswithoutdiabetes |