Detection of Kidney Allograft Rejection Using Urinary Chemokines.

IF 10.3 1区 医学 Q1 UROLOGY & NEPHROLOGY
Valentin Goutaudier, Olivier Aubert, Maud Racapé, Agathe Truchot, Marta Sablik, Marc Raynaud, Éric Vicaut, Olivia Rousseau, Michelle Elias, Gillian Divard, Emmanuelle Papuchon, Richard Danger, Béatrice Charreau, Didier Bouton, Thao Nguyen-Khoa, Christine Randoux-Lebrun, Jean-Luc Taupin, Pierre-Antoine Gourraud, Magali Giral, Moglie Le Quintrec, Emmanuel Morelon, Lionel Couzi, Christophe Legendre, Carmen Lefaucheur, Nassim Kamar, Sophie Brouard, Dany Anglicheau, Alexandre Loupy
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引用次数: 0

Abstract

Background: Urinary chemokines CXCL9 and CXCL10 have shown promise for detecting kidney allograft rejection, but the demonstration of their added value beyond standard of care patient monitoring requires further study.

Methods: We prospectively enrolled adult patients who underwent kidney transplantation in 7 transplant referral centers between July 2018 and December 2019 (ClinicalTrials.gov, NCT03582436). We quantified urinary CXCL9 and CXCL10 protein levels at the time of kidney allograft biopsies in the first year post-transplantation using an automated immunoassay platform. The primary outcome was allograft rejection defined according to the international Banff 2019 classification.

Results: Overall, 733 kidney transplant patients (64% male, 36% female) were included in the main analysis, with 1,549 biopsies paired with a urine sample. The cumulative incidence of rejection was 10%. For detecting allograft rejection, urinary CXCL9 and CXCL10 demonstrated areas under the receiver operating characteristic curve (AUROC) of 0.70 (95% confidence interval [CI], 0.64-0.75) and 0.64 (95% CI, 0.58-0.71), respectively. Adding urinary CXCL9 to a standard of care model improved discrimination for allograft rejection (AUROC 0.75 [percentile bootstrap CI 0.70-0.79] to 0.78 [percentile bootstrap CI 0.73-0.83]), while urinary CXCL10 did not. There was no improvement of overall fit with the addition of urinary CXCL9 (Brier score changed from 0.056 [95% CI, 0.046-0.067] to 0.054 [95% CI, 0.045-0.064]), as this tended to overestimate the risk for allograft rejection. In sensitivity analyses restricting to only acute/active forms of rejection or to a single randomly selected biopsy per patient, urinary chemokines did not show additional value beyond the standard of care. In addition, existing chemokine-based models showed low to moderate performance for the detection of allograft rejection.

Conclusions: Urinary CXCL9 demonstrated limited clinical utility, while urinary CXCL10 provided no additional value beyond standard of care monitoring for detecting allograft rejection within the first year after kidney transplantation.

尿趋化因子检测同种异体肾移植排斥反应。
背景:尿趋化因子CXCL9和CXCL10已显示出检测同种异体肾移植排斥反应的希望,但其在标准护理患者监测之外的附加价值有待进一步研究。方法:我们前瞻性地招募了2018年7月至2019年12月在7个移植转诊中心接受肾移植的成年患者(ClinicalTrials.gov, NCT03582436)。我们使用自动免疫分析平台,在移植后第一年进行肾移植活检时,量化尿CXCL9和CXCL10蛋白水平。主要结果是根据国际班夫2019分类定义的同种异体移植排斥反应。结果:总体而言,733例肾移植患者(男性64%,女性36%)被纳入主要分析,1549例活检与尿液样本配对。累计排斥发生率为10%。对于检测同种异体移植排斥反应,尿CXCL9和CXCL10分别显示接受者工作特征曲线(AUROC)下的面积为0.70(95%置信区间[CI], 0.64-0.75)和0.64 (95% CI, 0.58-0.71)。在标准护理模型中加入尿CXCL9可提高对同种异体移植排斥反应的辨别能力(AUROC为0.75[百分位引导区间CI 0.70-0.79]至0.78[百分位引导区间CI 0.73-0.83]),而尿CXCL10则没有。添加尿CXCL9并没有改善总体契合度(Brier评分从0.056 [95% CI, 0.046-0.067]变化到0.054 [95% CI, 0.045-0.064]),因为这往往高估了同种异体移植排斥的风险。在仅限急性/活动性排斥反应形式或随机选择的单个活检患者的敏感性分析中,尿趋化因子未显示出超出标准护理的额外价值。此外,现有的基于趋化因子的模型在检测同种异体移植排斥反应方面表现出低到中等的性能。结论:尿CXCL9显示出有限的临床应用,而尿CXCL10除了在肾移植后一年内检测同种异体移植排斥反应的标准护理监测外,没有其他价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of The American Society of Nephrology
Journal of The American Society of Nephrology 医学-泌尿学与肾脏学
CiteScore
22.40
自引率
2.90%
发文量
492
审稿时长
3-8 weeks
期刊介绍: The Journal of the American Society of Nephrology (JASN) stands as the preeminent kidney journal globally, offering an exceptional synthesis of cutting-edge basic research, clinical epidemiology, meta-analysis, and relevant editorial content. Representing a comprehensive resource, JASN encompasses clinical research, editorials distilling key findings, perspectives, and timely reviews. Editorials are skillfully crafted to elucidate the essential insights of the parent article, while JASN actively encourages the submission of Letters to the Editor discussing recently published articles. The reviews featured in JASN are consistently erudite and comprehensive, providing thorough coverage of respective fields. Since its inception in July 1990, JASN has been a monthly publication. JASN publishes original research reports and editorial content across a spectrum of basic and clinical science relevant to the broad discipline of nephrology. Topics covered include renal cell biology, developmental biology of the kidney, genetics of kidney disease, cell and transport physiology, hemodynamics and vascular regulation, mechanisms of blood pressure regulation, renal immunology, kidney pathology, pathophysiology of kidney diseases, nephrolithiasis, clinical nephrology (including dialysis and transplantation), and hypertension. Furthermore, articles addressing healthcare policy and care delivery issues relevant to nephrology are warmly welcomed.
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