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终末期肝病模型能够预测肝移植后的早期预后情况。

Model for end-stage liver disease can predict very early outcome after liver transplantation.

作者信息

Briceño J, Sánchez-Hidalgo J M, Naranjo A, Ciria R, Pozo J C, Luque A, de la Mata M, Rufián S, López-Cillero P

机构信息

Liver Transplantation Unit, Hospital Reina Sofía, Cordoba, Spain.

出版信息

Transplant Proc. 2008 Nov;40(9):2952-4. doi: 10.1016/j.transproceed.2008.09.023.

DOI:10.1016/j.transproceed.2008.09.023
PMID:19010157
Abstract

Postoperative Model for End-stage Liver Disease (MELD) values have never been assessed to predict very early (<1 week) death after liver transplantation (OLT). We retrospectively reviewed 275 consecutive OLTs performed in 252 recipients reported in a prospective database. We calculated the MELD score (pre-MELD) and consecutive postoperative MELD (post-MELD) scores computed daily during the first postoperative week and on days 15 and 30 after OLT. Post-MELD scores from nonsurviving recipients displayed on a scatterplot of immediate probability of death were adjusted to the best goodness-of-fit curve, and, finally, depicted graphically as a receiver operating characteristic (ROC) curve. Nonsurviving recipients showed higher post-MELD scores: day 1: 23.5 versus 16.6 (P = .05); day 3: 25.1 versus 12.5 (P = .000); day 5: 25.7 versus 11.8 (P = .000); and day 7: 22.1 versus 10.2 (P = .000). Overall comparisons were performed using a time-dependent general linear regression model, revealing higher post-MELD scores for nonsurviving recipients, irrespective of postoperative time (P = .002). The best goodness-of-fit curve was displayed when adjusting to a theoretical exponential regression curve calculated as follows: Probability of dying within the first week (%) = 3.36 x e(0.079 x (post-MELD)) (r = .89; P = .000). The area under the ROC curve was 0.783 (95% confidence interval, 0.630-0.935; P = .001). The model had a positive predictive value of 82.3%, a negative predictive value of 33.1%, and an accuracy of 79.2%. In conclusion, this study corroborated the suggestion that the MELD score may serve as a reliable tool to assess very early death after OLT.

摘要

终末期肝病模型(MELD)评分从未被用于评估肝移植(OLT)后极早期(<1周)死亡的预测情况。我们回顾性分析了前瞻性数据库中252例接受者的275例连续OLT手术。我们计算了MELD评分(术前MELD)以及术后第一周每日计算的连续术后MELD(术后MELD)评分,还有OLT后第15天和第30天的评分。将未存活接受者的术后MELD评分绘制在死亡即时概率散点图上,并根据最佳拟合曲线进行调整,最后以受试者工作特征(ROC)曲线的形式进行图形化展示。未存活接受者的术后MELD评分更高:第1天:23.5对16.6(P = 0.05);第3天:25.1对12.5(P = 0.000);第5天:25.7对11.8(P = 0.000);第7天:22.1对10.2(P = 0.000)。总体比较采用时间依赖性一般线性回归模型进行,结果显示未存活接受者的术后MELD评分更高,与术后时间无关(P = 0.002)。调整为如下计算的理论指数回归曲线时,显示出最佳拟合曲线:第一周内死亡概率(%)= 3.36×e(0.079×(术后MELD))(r = 0.89;P = 0.000)。ROC曲线下面积为0.783(95%置信区间,0.630 - 0.935;P = 0.001)。该模型的阳性预测值为82.3%,阴性预测值为33.1%,准确性为79.2%。总之,本研究证实了MELD评分可作为评估OLT后极早期死亡的可靠工具这一观点。

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Model for end-stage liver disease can predict very early outcome after liver transplantation.终末期肝病模型能够预测肝移植后的早期预后情况。
Transplant Proc. 2008 Nov;40(9):2952-4. doi: 10.1016/j.transproceed.2008.09.023.
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Analysis of liver transplantation outcome in patients with MELD Score > or = 30.对终末期肝病模型(MELD)评分≥30分患者的肝移植结局分析。
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引用本文的文献

1
Factors Associated with Mortality and Graft Failure in Liver Transplants: A Hierarchical Approach.肝移植中与死亡率和移植物失败相关的因素:一种分层方法。
PLoS One. 2015 Aug 14;10(8):e0134874. doi: 10.1371/journal.pone.0134874. eCollection 2015.
2
Sluggish decline in a post-transplant model for end-stage liver disease score is a predictor of mortality in living donor liver transplantation.移植后终末期肝病模型评分缓慢下降是活体肝移植患者死亡的预测因子。
Korean J Anesthesiol. 2010 Sep;59(3):160-6. doi: 10.4097/kjae.2010.59.3.160. Epub 2010 Sep 20.