Rogério O Mattos, M. Linhares, D. Matos, R. Adam, H. Bismuth, D. Castaing, Achim Konietzko, J. Lerut, R. Porte, Jamieson Neville, D. Azoulay
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引用次数: 1
摘要
背景/目的外部验证Linhares et al.(2006)设计的生存预测数学模型。方法:本回顾性研究对2000年1月至2008年12月在欧洲4个中心接受肝再移植的217例患者进行了研究。受体的以下变量:年龄、肌酐、再次移植的紧迫性和移植与再次移植之间的时间。采用Kaplan-Meier生存曲线和ROC曲线对数学模型进行验证。结果与Linhares等人(2006)关于生物变异的研究相比,本研究的结果显示了相似的生存模式,当对两个样本之间分析的四个变量中的每一个进行生存曲线比较时。推导样本(0.733)与验证样本(0.593)的ROC曲线下面积(aROC)比较差异有统计学意义(p = 0.005),说明两曲线的敏感性和特异性关系较低。Kaplan-Meier生存曲线相似。结论本研究通过Kaplan-Meier生存曲线对Linhares等(2006)提出的肝再移植生存预测数学模型进行了外部验证。然而,通过ROC曲线验证,aROC的辨别能力较弱。
Risk factors associated with outcome in liver retransplantation: multicentric study.
BACKGROUND/AIMS
To externally validate the predictive mathematical model of survival designed by Linhares et al. (2006).
METHODOLOGY
This retrospective study was conducted on 217 individuals submitted to liver retransplantation from January 2000 to December 2008 in four European centers. The following variables were obtained on the recipient: age, creatinine, urgency of retransplantation and time between transplantation and retransplantation. The Kaplan-Meier survival curve and ROC curve were used to validate the mathematical model.
RESULTS
The present results showed a similar pattern of survival compared to the study of Linhares et al. (2006) concerning the biological variations, when survival curves were compared for each of the four variables analyzed between both samples. When compared, the areas below the ROC curve (aROC) of derivation (0.733) and validation samples (0.593) presented significant difference (p = 0.005), revealing low relationship of sensitivity and specificity between the two curves. Similarity was observed in Kaplan-Meier survival curves.
CONCLUSION
This study allowed external validation by the Kaplan-Meier survival curves of the predictive mathematical model of survival in liver retransplantation proposed by Linhares et al. (2006). However, validation through the ROC curve, the aROC, evidenced weak discrimination ability.