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Model for End-Stage Liver Disease, Model for Liver Transplantation Survival and Donor Risk Index as predictive models of survival after liver transplantation in 1,006 patients

机译: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术后1,006名患者生存的预测模型

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OBJECTIVES: 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. METHOD: We retrospectively analyzed the data from 1,270 patients who received a liver transplant from a deceased donor in the state of S?o Paulo, Brazil, between July 2006 and July 2009. All data obtained from the Health Department of the State of S?o Paulo at the 15 registered transplant centers were analyzed. Patients younger than 13 years of age or with acute liver failure were excluded. RESULTS: 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). CONCLUSIONS: 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.
机译:目的:随着需要这种治疗的患者人数的增加,肝移植并未增加,从而增加了等待死亡者的死亡率。已经创建了预测移植后存活率的模型,包括肝移植存活率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的预后模型的性能。方法:我们回顾性分析了2006年7月至2009年7月之间来自巴西圣保罗州一名已故捐赠者的1270名接受过死者肝移植的患者的数据。所有数据均来自圣保罗州卫生部。 o Paulo在15个注册的移植中心进行了分析。年龄小于13岁或患有急性肝衰竭的患者被排除在外。结果:大多数接受者患有Child-Pugh B级或C级肝硬化(63.5%)。在包括的1,006名患者中,有274名(27%)死亡。使用Cox比例风险模型的单变量生存分析显示,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存活模型的ROC曲线面积显着大于0.5(p <0.001)。使用以下方法计算的终末期肝病模型(≥29.5;敏感性:39.1%;特异性:75.4%)和肝移植存活模型(≥1.9;敏感性63.9%,特异性54.5%)的临界值。肝移植前可获得的数据是肝移植后生存的良好预测指标(p <0.001)。结论: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(例如肝移植生存模型)相比,涉及较少变量的简单模型(例如终末期肝病模型)更可取。供体风险指数对我们患者的移植后存活率无影响。

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