Potential Role of the Renal Arterial Resistance Index in the Differential Diagnosis of Diabetic Kidney Disease

AimsTo investigate the potential role of renal arterial resistance index (RI) in the differential diagnosis between diabetic kidney disease (DKD) and non-diabetic kidney disease (NDKD) and establish a better-quantified differential diagnostic model.Materials and MethodsWe consecutively reviewed 469...

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Main Authors: Haiyang Li, Yunzhu Shen, Zhikai Yu, Yinghui Huang, Ting He, Tangli Xiao, Yan Li, Jiachuan Xiong, Jinghong Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2021.731187/full
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author Haiyang Li
Yunzhu Shen
Zhikai Yu
Yinghui Huang
Ting He
Tangli Xiao
Yan Li
Jiachuan Xiong
Jinghong Zhao
author_facet Haiyang Li
Yunzhu Shen
Zhikai Yu
Yinghui Huang
Ting He
Tangli Xiao
Yan Li
Jiachuan Xiong
Jinghong Zhao
author_sort Haiyang Li
collection DOAJ
description AimsTo investigate the potential role of renal arterial resistance index (RI) in the differential diagnosis between diabetic kidney disease (DKD) and non-diabetic kidney disease (NDKD) and establish a better-quantified differential diagnostic model.Materials and MethodsWe consecutively reviewed 469 type 2 diabetes patients who underwent renal biopsy in our center. According to the renal biopsy results, eligible patients were classified into the DKD group and the NDKD group. The diagnostic significance of RI was evaluated by receiver operating characteristic (ROC) curve analysis. Logistic regression analysis was used to search for independent risk factors associated with DKD. Then a novel diagnostic model was established using multivariate logistic regression analysis.ResultsA total of 332 DKD and 137 NDKD patients were enrolled for analysis. RI was significantly higher in the DKD group compared with those in the NDKD group (0.70 vs. 0.63, p< 0.001). The optimum cutoff value of RI for predicting DKD was 0.66 with sensitivity (69.2%) and specificity (80.9%). Diabetic retinopathy, diabetes duration ≥ 60 months, HbA1c ≥ 7.0(%), RI ≥ 0.66, and body mass index showed statistical significance in the multivariate logistic regression analysis. Then, we constructed a new diagnostic model based on these results. And the validation tests indicated that the new model had good sensitivity (81.5%) and specificity (78.6%).ConclusionsRI has a potential role in discriminating DKD from NDKD. The RI-based predicting model can be helpful for differential diagnosis of DKD and NDKD.
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spelling doaj.art-cb4327c0b1a34ea6b0d7fa489aa27d282022-12-21T21:20:15ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-01-011210.3389/fendo.2021.731187731187Potential Role of the Renal Arterial Resistance Index in the Differential Diagnosis of Diabetic Kidney DiseaseHaiyang LiYunzhu ShenZhikai YuYinghui HuangTing HeTangli XiaoYan LiJiachuan XiongJinghong ZhaoAimsTo investigate the potential role of renal arterial resistance index (RI) in the differential diagnosis between diabetic kidney disease (DKD) and non-diabetic kidney disease (NDKD) and establish a better-quantified differential diagnostic model.Materials and MethodsWe consecutively reviewed 469 type 2 diabetes patients who underwent renal biopsy in our center. According to the renal biopsy results, eligible patients were classified into the DKD group and the NDKD group. The diagnostic significance of RI was evaluated by receiver operating characteristic (ROC) curve analysis. Logistic regression analysis was used to search for independent risk factors associated with DKD. Then a novel diagnostic model was established using multivariate logistic regression analysis.ResultsA total of 332 DKD and 137 NDKD patients were enrolled for analysis. RI was significantly higher in the DKD group compared with those in the NDKD group (0.70 vs. 0.63, p< 0.001). The optimum cutoff value of RI for predicting DKD was 0.66 with sensitivity (69.2%) and specificity (80.9%). Diabetic retinopathy, diabetes duration ≥ 60 months, HbA1c ≥ 7.0(%), RI ≥ 0.66, and body mass index showed statistical significance in the multivariate logistic regression analysis. Then, we constructed a new diagnostic model based on these results. And the validation tests indicated that the new model had good sensitivity (81.5%) and specificity (78.6%).ConclusionsRI has a potential role in discriminating DKD from NDKD. The RI-based predicting model can be helpful for differential diagnosis of DKD and NDKD.https://www.frontiersin.org/articles/10.3389/fendo.2021.731187/fulldiabetic kidney diseasenon-diabetic kidney diseaseresistance indexdifferential diagnosistype 2 diabetes mellitus
spellingShingle Haiyang Li
Yunzhu Shen
Zhikai Yu
Yinghui Huang
Ting He
Tangli Xiao
Yan Li
Jiachuan Xiong
Jinghong Zhao
Potential Role of the Renal Arterial Resistance Index in the Differential Diagnosis of Diabetic Kidney Disease
Frontiers in Endocrinology
diabetic kidney disease
non-diabetic kidney disease
resistance index
differential diagnosis
type 2 diabetes mellitus
title Potential Role of the Renal Arterial Resistance Index in the Differential Diagnosis of Diabetic Kidney Disease
title_full Potential Role of the Renal Arterial Resistance Index in the Differential Diagnosis of Diabetic Kidney Disease
title_fullStr Potential Role of the Renal Arterial Resistance Index in the Differential Diagnosis of Diabetic Kidney Disease
title_full_unstemmed Potential Role of the Renal Arterial Resistance Index in the Differential Diagnosis of Diabetic Kidney Disease
title_short Potential Role of the Renal Arterial Resistance Index in the Differential Diagnosis of Diabetic Kidney Disease
title_sort potential role of the renal arterial resistance index in the differential diagnosis of diabetic kidney disease
topic diabetic kidney disease
non-diabetic kidney disease
resistance index
differential diagnosis
type 2 diabetes mellitus
url https://www.frontiersin.org/articles/10.3389/fendo.2021.731187/full
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