配对分析:确定对肾脏或肝脏移植后发生 PTLD 有独立影响的因素。

Transplantation research Pub Date : 2016-08-02 eCollection Date: 2016-01-01 DOI:10.1186/s13737-016-0036-1
Lisa Rausch, Christian Koenecke, Hans-Friedrich Koch, Alexander Kaltenborn, Nikos Emmanouilidis, Lars Pape, Frank Lehner, Viktor Arelin, Ulrich Baumann, Harald Schrem
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引用次数: 0

摘要

背景:移植后淋巴组织增生性疾病(PTLD)对患者的长期预后产生不利影响:移植后淋巴组织增生性疾病(PTLD)对患者的长期预后有不利影响:方法:采用配对 t 检验和 McNemar 检验对 36 例肾移植或肝移植后患有 PTLD 的患者和 36 例未患有 PTLD 的患者进行回顾性 1:1 配对分析。配对标准包括年龄、性别、适应症、移植类型和随访时间。所有被调查的PTLD标本均为EB病毒组织学阳性。风险调整后的多变量回归分析用于确定配对分析中发现的PTLD风险因素的独立性。结果显示,PTLD患者的病程较短,而EBV阳性患者的病程较长:结果:PTLD患者的平均生存期较短(p = 0.004),CMV感染或再激活次数较多(p = 0.042),受体HLA A2单倍型较少(p = 0.007),采用他克莫司免疫抑制方案(p = 0.052),出院时他克莫司用量(Tac剂量)较高(p = 0.052)。PTLD的重要独立危险因素是受体HLA A2(OR = 0.07,95 % CI = 0.01-0.55,p = 0.011)、较高的Tac剂量(OR = 1.29,95 % CI = 1.01-1.64,p = 0.040)和较高的移植物排斥发作次数(OR = 0.38,95 % CI = 0.17-0.87,p = 0.023)。以下预测 PTLD 的预后模型显示出良好的模型拟合度和较大的 ROC 曲线下面积(0.823):PTLD 概率(%)= Exp(y)/(1 + Exp(y)),y = 0.671 - 1.096 × HLA A2 阳性受体 + 0.151 × Tac 剂量 - 0.805 × 移植排斥反应次数:这项研究表明,受体HLA A2、CMV和EBV感染或再活化以及基于他克莫司的强效初始免疫抑制与预后相关。有风险因素的患者可能会从加强PTLD筛查中获益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation.

Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation.

Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation.

Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation.

Background: Post-transplant lymphoproliferative disorder (PTLD) adversely affects patients' long-term outcome.

Methods: The paired t test and McNemar's test were applied in a retrospective 1:1 matched-pair analysis including 36 patients with PTLD and 36 patients without PTLD after kidney or liver transplantation. Matching criteria were age, gender, indication, type of transplantation, and duration of follow-up. All investigated PTLD specimen were histologically positive for EBV. Risk-adjusted multivariable regression analysis was used to identify independence of risk factors for PTLD detected in matched-pair analysis. The resultant prognostic model was assessed with ROC-curve analysis.

Results: Patients suffering with PTLD had shorter mean survival (p = 0.004), more episodes of CMV infections or reactivations (p = 0.042), and fewer recipient HLA A2 haplotypes (p = 0.007), a tacrolimus-based immunosuppressive regimen (p = 0.052) and higher dosages of tacrolimus at hospital discharge (Tac dosage) (p = 0.052). Significant independent risk factors for PTLD were recipient HLA A2 (OR = 0.07, 95 % CI = 0.01-0.55, p = 0.011), higher Tac dosages (OR = 1.29, 95 % CI = 1.01-1.64, p = 0.040), and higher numbers of graft rejection episodes (OR = 0.38, 95 % CI = 0.17-0.87, p = 0.023). The following prognostic model for the prediction of PTLD demonstrated good model fit and a large area under the ROC curve (0.823): PTLD probability in % = Exp(y)/(1 + Exp(y)) with y = 0.671 - 1.096 × HLA A2-positive recipient + 0.151 × Tac dosage - 0.805 × number of graft rejection episodes.

Conclusions: This study suggests prognostic relevance for recipient HLA A2, CMV, and EBV infections or reactivations and strong initial tacrolimus-based immunosuppression. Patients with risk factors may benefit from intensified screening for PTLD.

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