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Timing of kidney biopsy in type 2 diabetic patients: a stepwise approach

BACKGROUND: Diabetic nephropathy (DN) is the most prevalent cause of renal disease in type 2 diabetic patients and is usually diagnosed clinically. A kidney biopsy is considered when non-diabetic renal disease (NDRD) is suspected, such as rapid progression in renal function impairment and severe pro...

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Autores principales: Hsieh, Jyh-Tong, Chang, Fu-Pang, Yang, An-Hang, Tarng, Der-Cherng, Yang, Chih-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161016/
https://www.ncbi.nlm.nih.gov/pubmed/32293326
http://dx.doi.org/10.1186/s12882-020-01794-w
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author Hsieh, Jyh-Tong
Chang, Fu-Pang
Yang, An-Hang
Tarng, Der-Cherng
Yang, Chih-Yu
author_facet Hsieh, Jyh-Tong
Chang, Fu-Pang
Yang, An-Hang
Tarng, Der-Cherng
Yang, Chih-Yu
author_sort Hsieh, Jyh-Tong
collection PubMed
description BACKGROUND: Diabetic nephropathy (DN) is the most prevalent cause of renal disease in type 2 diabetic patients and is usually diagnosed clinically. A kidney biopsy is considered when non-diabetic renal disease (NDRD) is suspected, such as rapid progression in renal function impairment and severe proteinuria. Still, there is yet no consensus on the timing of kidney biopsy in type 2 diabetic patients. This study aims to identify markers that can help differentiate between DN and NDRD and guide the decision of kidney biopsy. METHODS: We retrospectively reviewed patients with type 2 diabetes who received kidney biopsy from 2008 to 2017 at Taipei Veterans General Hospital. Ophthalmologist consultation and outpatient records, diagnosis of kidney biopsy, laboratory data, and clinical characteristics were collected. RESULTS: This study enrolled 160 type 2 diabetic patients, among which 120 (75%) had isolated DN and 40 (25%) had NDRD ± DN (26 had isolated NDRD, and 14 had NDRD superimposed on DN). In multivariate logistic regression analysis, DM duration (odds ratio [OR]: 0.907; 95% confidence interval [CI]: 0.842–0.977; P = 0.01), diabetic retinopathy (OR: 0.196; 95% CI: 0.061–0.627; P = 0.006), and urinary RBC (OR: 1.068; 95% CI: 1.024–1.115; P = 0.002) were independent predictors of NDRD. In patients with diabetic retinopathy (n = 112, 70%), the presence of proliferative diabetic retinopathy, pan-retinal photocoagulation, and hematuria were factors predicting NDRD; and in patients without diabetic retinopathy (n = 48, 30%), short DM duration and hematuria were factors predicting NDRD. CONCLUSIONS: Using diabetic retinopathy, DM duration, and hematuria, we developed a 3-step approach to stratify patients into three categories with the different likelihoods of having NDRD. Then different strategies could be taken accordingly. Our stepwise approach is easy to follow and may serve as an appropriate and useful tool to help clinicians in making decisions of kidney biopsy in type 2 DM patients presenting with kidney diseases.
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spelling pubmed-71610162020-04-22 Timing of kidney biopsy in type 2 diabetic patients: a stepwise approach Hsieh, Jyh-Tong Chang, Fu-Pang Yang, An-Hang Tarng, Der-Cherng Yang, Chih-Yu BMC Nephrol Research Article BACKGROUND: Diabetic nephropathy (DN) is the most prevalent cause of renal disease in type 2 diabetic patients and is usually diagnosed clinically. A kidney biopsy is considered when non-diabetic renal disease (NDRD) is suspected, such as rapid progression in renal function impairment and severe proteinuria. Still, there is yet no consensus on the timing of kidney biopsy in type 2 diabetic patients. This study aims to identify markers that can help differentiate between DN and NDRD and guide the decision of kidney biopsy. METHODS: We retrospectively reviewed patients with type 2 diabetes who received kidney biopsy from 2008 to 2017 at Taipei Veterans General Hospital. Ophthalmologist consultation and outpatient records, diagnosis of kidney biopsy, laboratory data, and clinical characteristics were collected. RESULTS: This study enrolled 160 type 2 diabetic patients, among which 120 (75%) had isolated DN and 40 (25%) had NDRD ± DN (26 had isolated NDRD, and 14 had NDRD superimposed on DN). In multivariate logistic regression analysis, DM duration (odds ratio [OR]: 0.907; 95% confidence interval [CI]: 0.842–0.977; P = 0.01), diabetic retinopathy (OR: 0.196; 95% CI: 0.061–0.627; P = 0.006), and urinary RBC (OR: 1.068; 95% CI: 1.024–1.115; P = 0.002) were independent predictors of NDRD. In patients with diabetic retinopathy (n = 112, 70%), the presence of proliferative diabetic retinopathy, pan-retinal photocoagulation, and hematuria were factors predicting NDRD; and in patients without diabetic retinopathy (n = 48, 30%), short DM duration and hematuria were factors predicting NDRD. CONCLUSIONS: Using diabetic retinopathy, DM duration, and hematuria, we developed a 3-step approach to stratify patients into three categories with the different likelihoods of having NDRD. Then different strategies could be taken accordingly. Our stepwise approach is easy to follow and may serve as an appropriate and useful tool to help clinicians in making decisions of kidney biopsy in type 2 DM patients presenting with kidney diseases. BioMed Central 2020-04-15 /pmc/articles/PMC7161016/ /pubmed/32293326 http://dx.doi.org/10.1186/s12882-020-01794-w Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Hsieh, Jyh-Tong
Chang, Fu-Pang
Yang, An-Hang
Tarng, Der-Cherng
Yang, Chih-Yu
Timing of kidney biopsy in type 2 diabetic patients: a stepwise approach
title Timing of kidney biopsy in type 2 diabetic patients: a stepwise approach
title_full Timing of kidney biopsy in type 2 diabetic patients: a stepwise approach
title_fullStr Timing of kidney biopsy in type 2 diabetic patients: a stepwise approach
title_full_unstemmed Timing of kidney biopsy in type 2 diabetic patients: a stepwise approach
title_short Timing of kidney biopsy in type 2 diabetic patients: a stepwise approach
title_sort timing of kidney biopsy in type 2 diabetic patients: a stepwise approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161016/
https://www.ncbi.nlm.nih.gov/pubmed/32293326
http://dx.doi.org/10.1186/s12882-020-01794-w
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