Department of Nephrology, Ruijin Hospital affiliated to Shanghai Jiaotong University, School of Medicine, Shanghai, China.
Clin Exp Rheumatol. 2021 Mar-Apr;39 Suppl 129(2):39-45. doi: 10.55563/clinexprheumatol/24ep0c. Epub 2020 Dec 9.
Renal risk score (RRS) and chronicity score (CS) are both newly proposed tools to predict end stage renal disease (ESRD) which could be applicable in antineutrophil cytoplasmic antibody (ANCA)-associated renal vasculitis patients. Their predictive value has not been fully studied and compared.
252 patients with newly biopsy-proven ANCA-associated renal vasculitis were retrospectively studied at the Department of Nephrology, Ruijin Hospital, China. Patients were evaluated with RRS and CS for clinical factors, pathological lesions and outcome. Their predictive value of renal survival was also compared.
The median RRS score point at diagnosis was 6 (interquartile range [IQR] 0-9) and CS score point was 4 (IQR 3-7). In accordance with severity of RRS category and CS grade, percentage of hypertensive patients, dialysis dependency, and level of proteinuria increased accordingly. Significant differences were found regarding dialysis dependency within RRS and CS groups (p<0.001 and p<0.01 respectively). The addition of RRS or CS scoring scheme to the base model of dialysis dependency significantly improved discrimination. The C statistic, integrated discrimination improvement and net reclassification improvement were significantly increased by adding either RRS/CS or both. Furthermore, RRS had better ROC.
Among ANCA associated renal vasculitis patients, RRS and CS achieved similar discrimination, but the discrimination of RRS was superior.
肾风险评分(RRS)和慢性评分(CS)均为预测终末期肾病(ESRD)的新工具,可适用于抗中性粒细胞胞浆抗体(ANCA)相关性血管炎患者。但其预测价值尚未得到充分研究和比较。
回顾性分析 2016 年 1 月至 2019 年 1 月在中国瑞金医院肾脏病科接受肾活检的 252 例新诊断的 ANCA 相关性血管炎患者的临床资料。采用 RRS 和 CS 评估临床因素、病理损伤及预后。比较两者对患者肾脏生存的预测价值。
患者的 RRS 评分中位数为 6(四分位距[IQR] 0-9),CS 评分中位数为 4(IQR 3-7)。根据 RRS 类别和 CS 等级的严重程度,高血压患者、透析依赖和蛋白尿水平的比例相应增加。在 RRS 和 CS 组中,透析依赖的差异具有统计学意义(p<0.001 和 p<0.01)。在透析依赖的基础模型中加入 RRS 或 CS 评分方案可显著提高鉴别能力。加入 RRS/CS 或两者均可显著增加 C 统计量、综合判别改善和净重新分类改善。此外,RRS 的 ROC 曲线下面积更大。
在 ANCA 相关性血管炎患者中,RRS 和 CS 的预测能力相似,但 RRS 的预测能力优于 CS。