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An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodies

机译:肾脏移植患者的移植物存活率的可调整预测得分以及与从头供体特异性抗HLA抗体相关的风险水平

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摘要

Most predictive models and scores of graft survival in renal transplantation include factors known before transplant or at the end of the first year. They cannot be updated thereafter, even in patients developing donor-specific anti-HLA antibodies and acute rejection.We developed a conditional and adjustable score for prediction of graft failure (AdGFS) up to 10 years post-transplantation in 664 kidney transplant patients. AdGFS was externally validated and calibrated in 896 kidney transplant patients.The final model included five baseline factors (pretransplant non donor-specific anti-HLA antibodies, donor age, serum creatinine measured at 1 year, longitudinal serum creatinine clusters during the first year, proteinuria measured at 1 year), and two predictors updated over time (de novo donor-specific anti-HLA antibodies and first acute rejection). AdGFS was able to stratify patients into four risk-groups, at different post-transplantation times. It showed good discrimination (time-dependent ROC curve at ten years: 0.83 (CI95% 0.76–0.89).
机译:肾移植中大多数预测模型和移植物存活分数包括移植前或第一年末已知的因素。此后,即使在正在开发供体特异性抗HLA抗体和急性排斥反应的患者中也无法更新。我们为664名肾移植患者移植后长达10年的移植失败(AdGFS)预测提供了条件和可调整的评分。 AdGFS在896例肾脏移植患者中进行了外部验证和校准。最终模型包括五个基线因素(移植前非供体特异性抗HLA抗体,供体年龄,1年时测定的肌酐,第一年中的纵向血肌酐簇,蛋白尿(在1年时进行测量),并随着时间的推移更新两个预测指标(从新的供体特异性抗HLA抗体和首次急性排斥反应)。 AdGFS能够在不同的移植后时间将患者分为四个风险组。它显示出良好的辨别力(十年内与时间有关的ROC曲线:0.83(CI95%为0.76-0.89)。

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