Aranzana Elisa Maria de Camargo, Coppini Adriana Zuolo, Ribeiro Maurício Alves, Massarollo Paulo Celso Bosco, Szutan Luiz Arnaldo, Ferreira Fabio Gonçalves
Faculdade de Ciências Médicas da Santa Casa de São Paulo, Surgery Department, Liver and Portal Hypertension Group, São Paulo, SP, Brazil.
Liver Transplantation Service, São Paulo, SP, Brazil.
Clinics (Sao Paulo). 2015 Jun;70(6):413-8. doi: 10.6061/clinics/2015(06)05. Epub 2015 Jun 1.
Liver transplantation has not increased with the number of patients requiring this treatment, increasing deaths among those on the waiting list. Models predicting post-transplantation survival, including the Model for Liver Transplantation Survival and the Donor Risk Index, have been created. Our aim was to compare the performance of the Model for End-Stage Liver Disease, the Model for Liver Transplantation Survival and the Donor Risk Index as prognostic models for survival after liver transplantation.
We retrospectively analyzed the data from 1,270 patients who received a liver transplant from a deceased donor in the state of São Paulo, Brazil, between July 2006 and July 2009. All data obtained from the Health Department of the State of São Paulo at the 15 registered transplant centers were analyzed. Patients younger than 13 years of age or with acute liver failure were excluded.
The majority of the recipients had Child-Pugh class B or C cirrhosis (63.5%). Among the 1,006 patients included, 274 (27%) died. Univariate survival analysis using a Cox proportional hazards model showed hazard ratios of 1.02 and 1.43 for the Model for End-Stage Liver Disease and the Model for Liver Transplantation Survival, respectively (p<0.001). The areas under the ROC curve for the Donor Risk Index were always less than 0.5, whereas those for the Model for End-Stage Liver Disease and the Model for Liver Transplantation Survival were significantly greater than 0.5 (p<0.001). The cutoff values for the Model for End-Stage Liver Disease (≥29.5; sensitivity: 39.1%; specificity: 75.4%) and the Model for Liver Transplantation Survival (≥1.9; sensitivity 63.9%, specificity 54.5%), which were calculated using data available before liver transplantation, were good predictors of survival after liver transplantation (p<0.001).
The Model for Liver Transplantation Survival displayed similar death prediction performance to that of the Model for End-Stage Liver Disease. A simpler model involving fewer variables, such as the Model for End-Stage Liver Disease, is preferred over a complex model involving more variables, such as the Model for Liver Transplantation Survival. The Donor Risk Index had no significance in post-transplantation survival in our patients.
肝移植数量并未随需要该治疗的患者数量增加,导致等待名单上的患者死亡人数增多。已创建了预测移植后生存的模型,包括肝移植生存模型和供体风险指数。我们的目的是比较终末期肝病模型、肝移植生存模型和供体风险指数作为肝移植后生存预后模型的性能。
我们回顾性分析了2006年7月至2009年7月间在巴西圣保罗州接受已故供体肝移植的1270例患者的数据。分析了从圣保罗州卫生部在15个注册移植中心获得的所有数据。排除年龄小于13岁或患有急性肝衰竭的患者。
大多数受者为Child-Pugh B级或C级肝硬化(63.5%)。在纳入的1006例患者中,274例(27%)死亡。使用Cox比例风险模型进行的单因素生存分析显示,终末期肝病模型和肝移植生存模型的风险比分别为1.02和1.43(p<0.001)。供体风险指数的ROC曲线下面积始终小于0.5,而终末期肝病模型和肝移植生存模型的ROC曲线下面积显著大于0.5(p<0.001)。使用肝移植前可用数据计算的终末期肝病模型(≥29.5;敏感性:39.1%;特异性:75.4%)和肝移植生存模型(≥1.9;敏感性63.9%,特异性54.5%)的截断值是肝移植后生存的良好预测指标(p<0.001)。
肝移植生存模型显示出与终末期肝病模型相似的死亡预测性能。与涉及更多变量的复杂模型(如肝移植生存模型)相比,涉及较少变量的更简单模型(如终末期肝病模型)更受青睐。供体风险指数对我们患者的移植后生存无意义。