Suppr超能文献

一种用于早期移植器官功能障碍严重程度连续分级的评分模型。

A score model for the continuous grading of early allograft dysfunction severity.

作者信息

Pareja Eugenia, Cortes Miriam, Hervás David, Mir José, Valdivieso Andrés, Castell José V, Lahoz Agustín

机构信息

Unidad de Hepatología Experimental, Instituto de Investigación Sanitaria La Fe, Valencia, Spain.

出版信息

Liver Transpl. 2015 Jan;21(1):38-46. doi: 10.1002/lt.23990. Epub 2014 Nov 24.

Abstract

Early allograft dysfunction (EAD) dramatically influences graft and patient outcomes. A lack of consensus on an EAD definition hinders comparisons of liver transplant outcomes and management of recipients among and within centers. We sought to develop a model for the quantitative assessment of early allograft function [Model for Early Allograft Function Scoring (MEAF)] after transplantation. A retrospective study including 1026 consecutive liver transplants was performed for MEAF score development. Multivariate data analysis was used to select a small number of postoperative variables that adequately describe EAD. Then, the distribution of these variables was mathematically modeled to assign a score for each actual variable value. A model, based on easily obtainable clinical parameters (ie, alanine aminotransferase, international normalized ratio, and bilirubin) and scoring liver function from 0 to 10, was built. The MEAF score showed a significant association with patient and graft survival at 3-, 6- and 12-month follow-ups. Hepatic steatosis and age for donors; cold/warm ischemia times and postreperfusion syndrome for surgery; and intensive care unit and hospital stays, Model for End-Stage Liver Disease and Child-Pugh scores, body mass index, and fresh frozen plasma transfusions for recipients were factors associated significantly with EAD. The model was satisfactorily validated by its application to an independent set of 200 patients who underwent liver transplantation at a different center. In conclusion, a model for the quantitative assessment of EAD severity has been developed and validated for the first time. The MEAF provides a more accurate graft function assessment than current categorical classifications and may help clinicians to make early enough decisions on retransplantation benefits. Furthermore, the MEAF score is a predictor of recipient and graft survival. The standardization of the criteria used to define EAD may allow reliable comparisons of recipients' treatments and transplant outcomes among and within centers.

摘要

早期移植物功能障碍(EAD)对移植物和患者的预后有显著影响。目前对于EAD的定义缺乏共识,这阻碍了肝移植预后的比较以及各中心之间和中心内部对受者的管理。我们试图开发一种用于移植后早期移植物功能定量评估的模型[早期移植物功能评分模型(MEAF)]。进行了一项回顾性研究,纳入1026例连续肝移植病例以建立MEAF评分。采用多变量数据分析来选择少量能够充分描述EAD的术后变量。然后,对这些变量的分布进行数学建模,为每个实际变量值赋予一个分数。基于易于获得的临床参数(即丙氨酸转氨酶、国际标准化比值和胆红素)构建了一个将肝功能从0到10进行评分的模型。MEAF评分在3个月、6个月和12个月的随访中与患者和移植物存活显著相关。供者的肝脂肪变性和年龄;手术的冷/热缺血时间和再灌注综合征;以及受者的重症监护病房和住院时间、终末期肝病模型和Child-Pugh评分、体重指数以及新鲜冰冻血浆输注是与EAD显著相关的因素。该模型应用于另一中心接受肝移植的200例独立患者时得到了满意的验证。总之,首次开发并验证了一种用于定量评估EAD严重程度的模型。MEAF比当前的分类方法能提供更准确的移植物功能评估,可能有助于临床医生尽早做出关于再次移植益处的决策。此外,MEAF评分是受者和移植物存活的预测指标。用于定义EAD的标准的标准化可能使各中心之间和中心内部对受者治疗和移植预后进行可靠的比较。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验