Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum University of Bologna, Bologna, Italy.
Nephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Sci Rep. 2024 Jul 13;14(1):16224. doi: 10.1038/s41598-024-65857-w.
IgA Nephropathy (IgAN) is the most prevalent glomerular disease worldwide. Complement system activation is crucial in its pathogenesis. Few studies correlated serum C3 and C4 with disease activity and prognosis. This retrospective study investigated the prognostic value of serum complement at the time of diagnosis in patients with IgAN. Specifically we evaluated whether adding serum C3 and C4 levels to established predictive models-one based on variables related to chronic kidney disease (CKD) progression and another incorporating variables from the International IgA Prediction Tool (IntIgAPT)-enhances the accuracy of outcome prediction. A composite renal outcome was defined as 50% decline in eGFR or onset of kidney failure. 101 patients were stratified according to baseline C3 levels in three groups (Low, Medium and High). During a median follow-up of 54 months, the Low group exhibited higher incidence of primary outcome (16.3 events vs 2.9 and 1.7 events × 100 pts/year, p = 0.0026). Model-1 (M1), consisting of CKD progression variables, and Model-3 (M3), comprising IntIgANPT variables, were implemented with baseline C3 and C4 to create Model-2 (M2) and Model-4 (M4), respectively. M2 demonstrated better predictive performance over M1, showing higher discrimination (lower AIC and BIC, higher C-index and NR2). Similarly, M4 outperformed M3, showing enhanced outcome prediction when C3 and C4 levels were added. Implementation of serum C3 and C4 can enhance prediction accuracy of already-validated prognostic models in IgAN. Lower C3 and higher C4 levels were associated with poorer prognosis, highlighting a more 'Complement-Pathic' subset of patients.
IgA 肾病 (IgAN) 是全球最常见的肾小球疾病。补体系统的激活在其发病机制中至关重要。很少有研究将血清 C3 和 C4 与疾病活动度和预后相关联。本回顾性研究调查了 IgAN 患者诊断时血清补体对预后的预测价值。具体来说,我们评估了在已建立的预测模型中加入血清 C3 和 C4 水平(一个基于与慢性肾脏病 (CKD) 进展相关的变量,另一个纳入国际 IgA 预测工具 (IntIgAPT) 的变量)是否可以提高预后预测的准确性。复合肾脏结局定义为 eGFR 下降 50%或发生终末期肾病。根据基线 C3 水平将 101 例患者分为三组(低、中、高)。在中位随访 54 个月期间,低组的主要结局发生率较高(16.3 例 vs 2.9 和 1.7 例×100 例/年,p=0.0026)。模型 1(M1)由 CKD 进展变量组成,模型 3(M3)由 IntIgA 预测工具变量组成,分别用基线 C3 和 C4 构建模型 2(M2)和模型 4(M4)。M2 比 M1 具有更好的预测性能,表现出更高的区分度(更低的 AIC 和 BIC,更高的 C 指数和 NR2)。同样,M4 优于 M3,当加入 C3 和 C4 水平时,能够提高结局预测能力。在 IgAN 中,实施血清 C3 和 C4 可以提高已有验证的预后模型的预测准确性。较低的 C3 和较高的 C4 水平与较差的预后相关,突出了更具“补体病理性”的患者亚组。