Evaluation of three scoring systems for predicting renal prognosis in antineutrophil cytoplasmic antibody-associated glomerulonephritis

Author:

Wang Xinfang1,Zhang Xiaofeng1,Chen Lin1,Ma Qiuling2,Su Yajing2,Liu Jingwen2,Shi Huihui2,Wang Ruiqiang1

Affiliation:

1. the First Affiliated Hospital of Zhengzhou University

2. University of Traditional Chinese Medicine

Abstract

Abstract Background: Antineutrophil cytoplasmic antibody (ANCA)-associated glomerulonephritis (AAGN) is characterized by rapidly progressive glomerulonephritis, and timely initiation of treatment and evaluation is critical to prevent progression of renal disease to end-stage renal disease (ESRD). This study aimed to evaluate the predictive value of the renal risk score (RRS), Birmingham vasculitis activity score (BVAS), and renal vascular lesions (RVLs) score for renal prognosis in AAGN. Methods: A retrospective analysis of ninety-three patients diagnosed with AAGN after renal biopsy was performed. The RRS, BVAS, and RVLs score were evaluated in relation to clinicopathologic features and renal prognosis. A receiver operating characteristic (ROC) curve was used to evaluate their prognostic value for the kidneys. Results: The median follow-up time was 36 months. Thirty-eight patients progressed to ESRD. Survival analysis showed that renal prognosis worsened within the RRS group in the order of low, medium, and high RRS (P<0.05). Within the RVLs group, the renal prognosis of the groups with severe and moderate RVLs was worse than that of the group without RVLs (P = 0.017, P< 0.001), and the group with mild RVLs was close to that of the group without RVLs. ROC analysis showed that the AUC of RRS, BVAS, RVLs score, RVLs score combined with RRS (RVLs score & RRS, RR), RVLs score and RRS combined with BVAS (RVLs score & RRS & BVAS, RRB) were 0.862, 0.759, 0.618, 0.908, and 0.914, respectively. The predictive power of RRB and RR was comparable and significantly better than the RRS, BVAS, and RVLs score. On the basis of simplicity and validity, RR was selected as the best predictor, and the relationship between RRS, RVLs score, and RR was calculated using a linear fit, resulting in the linear equation RR = -0.4766 + 0.1231 × RVLs score + 0.395 × RRS (P < 0.001). Conclusions:In AAGN, the predictive power of RR for renal prognosis was superior to that of RRS, BVAS, and RVLs score. RR may serve as a new predictor of renal prognosis in AAGN.

Publisher

Research Square Platform LLC

Reference29 articles.

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