Fernández-Ruiz Mario, Seron Daniel, Alonso Ángel, Lora David, Hernández Domingo, González Esther, Pérez-Sáez María José, Gómez Gonzalo, Pallardó-Mateu Luis Manuel, Jimeno-García Luisa, Cofán Frederic, Gutierrez-Dalmau Alex, Ruiz Juan Carlos, Ramírez-Puga Ana, Santana Estupiñán Raquel, Marcén Roberto, Portolés José María, Muñoz-Cepeda Miguel Ángel, López-Medrano Francisco, San Juan Rafael, Andrés Amado, Aguado José María
Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (imas12), Madrid, Spain.
Department of Nephrology, Hospital Universitari Vall d'Hebron, Vall d' Hebron Institut de Recerca (VHIR), Barcelona, Spain.
Kidney Int. 2020 Oct;98(4):1031-1043. doi: 10.1016/j.kint.2020.04.054. Epub 2020 Jun 12.
Existing approaches for infection risk stratification in kidney transplant recipients are suboptimal. Here, we aimed to develop and validate a weighted score integrating non-pathogen-specific immune parameters and clinical variables to predict the occurrence of post-transplant infectious complications. To this end, we retrospectively analyzed a single-center derivation cohort of 410 patients undergoing kidney transplantation in 2008-2013 in Madrid. Peripheral blood lymphocyte subpopulations, serum immunoglobulin and complement levels were measured at one-month post-transplant. The primary and secondary outcomes were overall and bacterial infection through month six. A point score was derived from a logistic regression model and prospectively applied on a validation cohort of 522 patients undergoing kidney transplantation at 16 centers throughout Spain in 2014-2015. The SIMPLICITY score consisted of the following variables measured at month one after transplantation: C3 level, CD4 T-cell count, CD8 T-cell count, IgG level, glomerular filtration rate, recipient age, and infection within the first month. The discrimination capacity in the derivation and validation cohorts was good for overall (areas under the receiver operating curve of 0.774 and 0.730) and bacterial infection (0.767 and 0.734, respectively). The cumulative incidence of overall infection significantly increased across risk categories in the derivation (low-risk 13.7%; intermediate-risk, 35.9%; high-risk 77.6%) and validation datasets (10.2%, 28.9% and 50.4%, respectively). Thus, the SIMPLICITY score, based on easily available immune parameters, allows for stratification of kidney transplant recipients at month one according to their expected risk of subsequent infection.
肾移植受者现有的感染风险分层方法并不理想。在此,我们旨在开发并验证一种加权评分系统,该系统整合了非病原体特异性免疫参数和临床变量,以预测移植后感染并发症的发生。为此,我们回顾性分析了2008年至2013年在马德里接受肾移植的410例患者的单中心衍生队列。在移植后1个月测量外周血淋巴细胞亚群、血清免疫球蛋白和补体水平。主要和次要结局分别是至第6个月时的总体感染和细菌感染。从逻辑回归模型得出一个评分,并前瞻性地应用于2014年至2015年在西班牙16个中心接受肾移植的522例患者的验证队列。SIMPLICITY评分由移植后第1个月测量的以下变量组成:C3水平、CD4 T细胞计数、CD8 T细胞计数、IgG水平、肾小球滤过率、受者年龄以及第1个月内的感染情况。衍生队列和验证队列中该评分对总体感染(受试者工作特征曲线下面积分别为0.774和0.730)和细菌感染(分别为0.767和0.734)的区分能力良好。在衍生数据集(低风险13.7%;中风险35.9%;高风险77.6%)和验证数据集中(分别为10.2%、28.9%和50.4%),总体感染的累积发生率在不同风险类别中显著增加。因此,基于易于获得的免疫参数的SIMPLICITY评分能够在移植后第1个月根据肾移植受者后续感染的预期风险进行分层。