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Kidney biopsy can help to predict renal outcomes of patients with type 2 diabetes mellitus

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Abstract
Background: In patients with type 2 diabetes mellitus (T2DM), diabetic kidney disease (DKD) is diagnosed based on clinical features. A kidney biopsy is used only in selected cases. This study aimed to reconsider the role of a biopsy in predicting renal outcomes.

Methods: Clinical and laboratory parameters and renal biopsy results were obtained from 237 patients with T2DM who underwent renal biopsies at Soonchunhyang University Cheonan Hospital between January 2000 and March 2020 and were analyzed.

Results: Of 237 diabetic patients, 29.1% had DKD only, 61.6% had non-DKD (NDKD), and 9.3% had DKD with coexisting NDKD (DKD/NDKD). Of the patients with DKD alone, 43.5% progressed to end-stage kidney disease (ESKD), while 15.8% of NDKD patients and 36.4% of DKD/NDKD patients progressed to ESKD (p < 0.001). In the DKD-alone group, pathologic features like ≥50% global sclerosis (p < 0.001), tubular atrophy (p < 0.001), interstitial fibrosis (p < 0.001), interstitial inflammation (p < 0.001), and the presence of hyalinosis (p = 0.03) were related to worse renal outcomes. The Cox regression model showed a higher risk of progression to ESKD in the DKD/NDKD group compared to the DKD-alone group (hazard ratio [HR], 2.73; p = 0.032), ≥50% global sclerosis (HR, 3.88; p < 0.001), and the degree of mesangial expansion (moderate: HR, 2.45; p = 0.045 and severe: HR, 6.22; p < 0.001).

Conclusion: In patients with T2DM, a kidney biopsy can help in identifying patients with NDKD for appropriate treatment, and it has predictive value.
All Author(s)
Wook-Joon Kim ; Taehoon Oh ; Nam Hun Heo ; Kyungsup Kwon ; Ga-Eun Shin ; Se-Hwi Jeong ; Ji Hye Lee ; Samel Park ; Nam-Jun Cho ; Hyo-Wook Gil ; Eun Young Lee
Issued Date
2024
Type
Article
Keyword
Diabetic nephropathiesGlomerulonephritisRenal insufficiencyType 2 diabetes mellitus
Publisher
대한신장학회
ISSN
2211-9132 ; 2211-9140
Citation Title
Kidney research and clinical practice
Language(ISO)
eng
DOI
10.23876/j.krcp.23.059
URI
http://schca-ir.schmc.ac.kr/handle/2022.oak/1313
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