Ouyang Yan, Zhang Wei, Zhao Zhanzheng, Wang Chaohui, Ren Hong, Xie Jingyuan, Li Xiao, Shen Pingyan, Shi Hao, Xu Jing, Xu Yaowen, Wang Weiming, Yang Li, Yu Xialian, Chen Weihong, Zhao YaWen, Wang Zheng, Wu YiFan, Chen Nan, Pan XiaoXia
Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Neurology Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Clin Chim Acta. 2024 Mar 15;556:117851. doi: 10.1016/j.cca.2024.117851. Epub 2024 Mar 2.
Kidney damage is common in patients with Fabry disease (FD), but more accurate information about the risk of progression to kidney failure is needed for clinical decision-making. In particular, FD patients with mild renal involvement often lack timely intervention and treatment. We aimed to utilize a model to predict the risk of renal progression in FD patients.
Between November 2011 and November 2019, ERT-naive patients with FD were recruited from three medical centers in China. To assess the risk of a 50% decline in the estimated glomerular filtration rate (eGFR) or end-stage kidney disease (ESKD), Cox proportional hazards models were utilized. The performance of these models was assessed using discrimination, calibration, and reclassification.
A total of 117 individuals were enrolled. The mean follow-up time was 4.8 years, during which 35 patients (29.9 %) progressed to the composite renal outcomes. Male sex, baseline proteinuria, eGFR and globotriaosylsphingosine (Lyso-Gb3) were found to be independent risk factors for kidney progression by the Cox model, based on which a combined model containing those clinical variables and Lyso-Gb3 and clinical models including only clinical indicators were constructed. The two prediction models had relatively good performance, with similar model fit measured by R (59.8 % vs. 61.1 %) and AIC (51.54 vs. 50.08) and a slight increase in the C statistic (0.949 vs. 0.951). Calibration curves indicated closer alignment between predicted and actual renal outcomes in the combined model. Furthermore, subgroup analysis revealed that Lyso-Gb3 significantly improved the predictive performance of the combined model for kidney prognosis in low-risk patients with a baseline eGFR over 60 ml/min/1.73 m or proteinuria levels less than 1 g/d when compared to the clinical model.
Lyso-Gb3 improves the prediction of kidney outcomes in FD patients with a low risk of progression, suggesting that these patients may benefit from early intervention to assist in clinical management. These findings need to be externally validated.
肾脏损害在法布里病(FD)患者中很常见,但临床决策需要更准确的关于进展至肾衰竭风险的信息。特别是,轻度肾脏受累的FD患者往往缺乏及时的干预和治疗。我们旨在利用一个模型来预测FD患者的肾脏进展风险。
2011年11月至2019年11月期间,从中国的三个医疗中心招募了未接受过ERT治疗的FD患者。为评估估计肾小球滤过率(eGFR)下降50%或终末期肾病(ESKD)的风险,采用了Cox比例风险模型。使用区分度、校准度和重新分类来评估这些模型的性能。
共纳入117例个体。平均随访时间为4.8年,在此期间35例患者(29.9%)进展至复合肾脏结局。Cox模型发现男性、基线蛋白尿、eGFR和球三糖神经酰胺(Lyso-Gb3)是肾脏进展的独立危险因素,基于此构建了包含这些临床变量和Lyso-Gb3的联合模型以及仅包含临床指标的临床模型。这两个预测模型表现相对良好,通过R(59.8%对61.1%)和AIC(51.54对50.08)测量的模型拟合度相似,C统计量略有增加(0.949对0.951)。校准曲线表明联合模型中预测的和实际的肾脏结局之间的一致性更高。此外,亚组分析显示,与临床模型相比,Lyso-Gb3显著提高了联合模型对基线eGFR超过60 ml/min/1.73 m²或蛋白尿水平低于1 g/d的低风险患者肾脏预后的预测性能。
Lyso-Gb3改善了进展风险低的FD患者肾脏结局的预测,表明这些患者可能从早期干预中获益以辅助临床管理。这些发现需要外部验证。