Pathological validation of the Japanese Renal Pathology Society classification and challenges in predicting renal prognosis in patients with diabetic nephropathy

Taeyeong Kim, Yooujin Kwak, Jun Young Lee, Hanwul Shin, Jae Seok Kim, Jae Won Yang, Minseob Eom
2022 Kidney Research and Clinical Practice  
Diabetic nephropathy (DN) accounts for approximately half of all cases of chronic kidney disease (CKD) and end-stage kidney disease worldwide. The Renal Pathology Society (RPS) classification has been used to predict the renal prognosis in DN. In 2018, the Japanese Renal Pathology Society (JRPS) proposed a comprehensive classification system that included pathological changes in the kidney. The clinical significance of the JRPS classification system was comparatively evaluated in the present
more » ... dy. Methods: A total of 93 cases diagnosed with DN from 2009 to 2019 were enrolled. JRPS scores (J-scores) were calculated by scoring the pathological factors in the JRPS classification system and comparing them with clinical parameters. Results: Most pathological factors constituting the J-score were significantly correlated with clinical factors. Laminated nodules were inversely correlated with estimated glomerular filtration rate. After adjusting for age, sex, body mass index, hemoglobin A1c, diabetes duration, and hypertension, CKD stage was significantly correlated with JRPS grade, nodular lesions, and exudative lesions in the multivariate logistic regression analysis. However, receiver operating characteristic curve analysis revealed that the J-score (area under the curve [AUC] = 0.639) had lower clinical significance than the traditional RPS classification system (AUC = 0.675). Conclusion: The JRPS classification can more comprehensively reflect renal changes than the RPS classification and is correlated with renal survival. When creating a new pathological classification, arteriolar hyalinosis should not be included, whereas laminated nodules should be included.
doi:10.23876/j.krcp.22.123 pmid:36239058 fatcat:6huoasfpxbarvn2c36k223jkyi