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肾移植后发生的肾细胞癌

Renal cell cancer after kidney transplantation.

作者信息

Kleine-Döpke Dennis, Oelke Matthias, Schwarz Anke, Schwager Ysabell, Lehner Frank, Klempnauer Jürgen, Schrem Harald

机构信息

Department of General, Visceral and Transplant Surgery, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.

Department of Urology, St. Antonius Hospital, Gronau, Germany.

出版信息

Langenbecks Arch Surg. 2018 Aug;403(5):631-641. doi: 10.1007/s00423-018-1694-x. Epub 2018 Jul 12.

Abstract

PURPOSE

This study aims to identify modifiable risk factors for de novo renal cell carcinoma (RCC) after kidney transplantation in a matched-pair approach matching for unmodifiable factors.

PATIENTS AND METHODS

One thousand six hundred fifty-five adults who underwent kidney transplantation in the period 1 January 2000 to 31 December 2012 were analyzed. Patients with RCC after kidney transplantation were matched in a 1:2 ratio with those without RCC using the indication for transplantation, age at transplantation (± 10 years), recipient sex (male/female), number of received transplants, living organ donor transplantation (yes/no), and time of follow-up in days as matching criteria. The paired t test was used to compare continuous variables and the Cochran-Mantel-Haenszel test for categorical variables. Multivariable conditional logistic regression modeling was used to identify independent risk factors for RCC.

RESULTS

In matched-pair analysis, a total number of 26 incident cases with RCC after kidney transplantation could be matched. Post-transplant RCC was significantly associated with longer durations of pre-transplant hemodialysis (p = 0.007) and post-transplant immunosuppression with cyclosporine (p = 0.029) and/or mycophenolate mofetil (p = 0.020) and with larger proportions of post-transplant time on mycophenolate mofetil (p = 0.046) and/or prednisolone medication (p = 0.042). Multivariable conditional logistic regression modeling revealed a significant risk increasing multiplicative factor interaction between the duration of pre-transplant dialysis (years) and the time of prednisolone usage (percent/100). Cyclosporine A usage and mycophenolate mofetil usage were also revealed as independent, significant risk factors for RCC development.

CONCLUSIONS

Longer pre-transplant dialysis, cyclosporine-based protocols and/or intensified immunosuppression with additional mycophenolate mofetil, and larger proportions of time of prednisolone treatment during follow-up increase de novo RCC risk.

摘要

目的

本研究旨在采用匹配不可改变因素的配对方法,确定肾移植后新发肾细胞癌(RCC)的可改变危险因素。

患者与方法

分析了2000年1月1日至2012年12月31日期间接受肾移植的1655名成年人。肾移植后发生RCC的患者与未发生RCC的患者按1:2的比例进行匹配,匹配标准包括移植指征、移植时年龄(±10岁)、受者性别(男/女)、接受移植的次数、活体器官供体移植(是/否)以及随访天数。采用配对t检验比较连续变量,采用 Cochr an-Mantel-Haenszel检验比较分类变量。多变量条件逻辑回归模型用于确定RCC的独立危险因素。

结果

在配对分析中,共匹配到26例肾移植后发生RCC的病例。移植后RCC与移植前血液透析时间延长(p = 0.007)、移植后使用环孢素(p = 0.029)和/或霉酚酸酯(p = 0.020)进行免疫抑制以及霉酚酸酯(p = 0.046)和/或泼尼松龙用药(p = 0.042)的移植后时间比例较大显著相关。多变量条件逻辑回归模型显示,移植前透析时间(年)与泼尼松龙使用时间(百分比/100)之间存在显著的风险增加乘法因子相互作用。环孢素A的使用和霉酚酸酯的使用也被揭示为RCC发生的独立、显著危险因素。

结论

移植前透析时间延长、基于环孢素的方案和/或加用霉酚酸酯强化免疫抑制以及随访期间泼尼松龙治疗时间比例较大增加了新发RCC的风险。

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