Jurado-García Juan, Muñoz García-Borruel María, Rodríguez-Perálvarez Manuel Luis, Ruíz-Cuesta Patricia, Poyato-González Antonio, Barrera-Baena Pilar, Fraga-Rivas Enrique, Costán-Rodero Guadalupe, Briceño-Delgado Javier, Montero-Álvarez José Luis, de la Mata-García Manuel
Department of Hepatology and Liver Transplantation. Reina Sofía University Hospital, Córdoba, Spain.
IMIBIC, Maimonides Biomedical Research Institute, Córdoba, Spain.
PLoS One. 2016 Jun 14;11(6):e0155822. doi: 10.1371/journal.pone.0155822. eCollection 2016.
MELD allocation system has changed the clinical consequences on waiting list (WL) for LT, but its impact on mortality has been seldom studied. We aimed to assess the ability of MELD and other prognostic scores to predict mortality after LT.
301 consecutive patients enlisted for LT were included, and prioritized within WL by using the MELD-score according to: hepatic insufficiency (HI), refractory ascites (RA) and hepatocellular carcinoma (HCC). The analysis was performed to predict early mortality after LT (8 weeks).
Patients were enlisted as HI (44.9%), RA (19.3%) and HCC (35.9%). The major aetiologies of liver disease were HCV (45.5%). Ninety-four patients (31.3%) were excluded from WL, with no differences among the three groups (p = 0.23). The remaining 207 patients (68.7%) underwent LT, being HI the most frequent indication (42.5%). HI patients had the shortest length within WL (113.6 days vs 215.8 and 308.9 respectively; p<0.001), but the highest early post-LT mortality rates (18.2% vs 6.8% and 6.7% respectively; p<0.001). The independent predictors of early post-LT mortality in the HI group were higher bilirubin (OR = 1.08; p = 0.038), increased iMELD (OR = 1.06; p = 0.046) and non-alcoholic cirrhosis (OR = 4.13; p = 0.017). Among the prognostic scores the iMELD had the best predictive accuracy (AUC = 0.66), which was strengthened in non-alcoholic cirrhosis (AUC = 0.77).
Patients enlisted due to HI had the highest early post-LT mortality rates despite of the shortest length within WL. The iMELD had the best accuracy to predict early post-LT mortality in patients with HI, and thus it may benefit the WL management.
终末期肝病模型(MELD)分配系统改变了肝移植(LT)等待名单(WL)上的临床结局,但对其对死亡率的影响研究较少。我们旨在评估MELD及其他预后评分预测肝移植后死亡率的能力。
纳入301例连续登记等待肝移植的患者,并根据MELD评分在等待名单内按肝功能不全(HI)、顽固性腹水(RA)和肝细胞癌(HCC)进行优先级排序。进行分析以预测肝移植后早期死亡率(8周)。
患者分为HI组(44.9%)、RA组(19.3%)和HCC组(35.9%)。肝病的主要病因是丙型肝炎病毒(HCV,45.5%)。94例患者(31.3%)被排除在等待名单之外,三组之间无差异(p = 0.23)。其余207例患者(68.7%)接受了肝移植,其中HI是最常见的适应证(42.5%)。HI患者在等待名单中的时间最短(分别为113.6天、215.8天和308.9天;p<0.001),但肝移植后早期死亡率最高(分别为18.2%、6.8%和6.7%;p<0.001)。HI组肝移植后早期死亡的独立预测因素是胆红素升高(OR = 1.08;p = 0.038)、iMELD升高(OR = 1.06;p = 0.046)和非酒精性肝硬化(OR = 4.13;p = 0.017)。在预后评分中,iMELD具有最佳的预测准确性(AUC = 0.66),在非酒精性肝硬化中得到增强(AUC = 0.77)。
尽管HI患者在等待名单中的时间最短,但肝移植后早期死亡率最高。iMELD在预测HI患者肝移植后早期死亡方面具有最佳准确性,因此可能有益于等待名单管理。