Model for end-stage liver disease (MELD) and allocation of donor livers

终末期肝病模型 医学 肝病 内科学 慢性肝病 肝移植 胃肠病学 死亡率 队列 接收机工作特性 肌酐 肝硬化 外科 阶段(地层学) 移植
作者
Russell H. Wiesner,Erik Edwards,Richard B. Freeman,Ann Harper,Woojin Kim,Patrick S. Kamath,Walter K. Kremers,John R. Lake,Todd K. Howard,Robert M. Merion,Robert A. Wolfe,Ruud A.F. Krom,Paul M. Colombani,Paige C. Cottingham,Stephen P. Dunn,John J. Fung,Douglas W. Hanto,Sue V. McDiarmid,John M. Rabkin,Lewis Teperman,Jeremiah G. Turcotte,Lynn Rothberg Wegman
出处
期刊:Gastroenterology [Elsevier]
卷期号:124 (1): 91-96 被引量:2207
标识
DOI:10.1053/gast.2003.50016
摘要

A consensus has been reached that liver donor allocation should be based primarily on liver disease severity and that waiting time should not be a major determining factor. Our aim was to assess the capability of the Model for End-Stage Liver Disease (MELD) score to correctly rank potential liver recipients according to their severity of liver disease and mortality risk on the OPTN liver waiting list.The MELD model predicts liver disease severity based on serum creatinine, serum total bilirubin, and INR and has been shown to be useful in predicting mortality in patients with compensated and decompensated cirrhosis. In this study, we prospectively applied the MELD score to estimate 3-month mortality to 3437 adult liver transplant candidates with chronic liver disease who were added to the OPTN waiting list at 2A or 2B status between November, 1999, and December, 2001.In this study cohort with chronic liver disease, 412 (12%) died during the 3-month follow-up period. Waiting list mortality increased directly in proportion to the listing MELD score. Patients having a MELD score <9 experienced a 1.9% mortality, whereas patients having a MELD score > or =40 had a mortality rate of 71.3%. Using the c-statistic with 3-month mortality as the end point, the area under the receiver operating characteristic (ROC) curve for the MELD score was 0.83 compared with 0.76 for the Child-Turcotte-Pugh (CTP) score (P < 0.001).These data suggest that the MELD score is able to accurately predict 3-month mortality among patients with chronic liver disease on the liver waiting list and can be applied for allocation of donor livers.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wyj完成签到,获得积分10
刚刚
斯文败类应助DTL哈哈采纳,获得10
刚刚
刚刚
1秒前
2秒前
Bruce Zhu发布了新的文献求助30
2秒前
NYY987654321完成签到,获得积分10
2秒前
2秒前
将看看发布了新的文献求助10
2秒前
Singularity应助小值钱采纳,获得20
2秒前
研友_VZG7GZ应助白白采纳,获得10
3秒前
3秒前
3秒前
科研通AI2S应助Abdurrahman采纳,获得10
3秒前
3秒前
银色的喵咪应助小仙女212采纳,获得10
3秒前
大模型应助zzk采纳,获得10
3秒前
肘子发布了新的文献求助10
4秒前
4秒前
4秒前
4秒前
4秒前
暮色微凉完成签到,获得积分20
4秒前
4秒前
5秒前
5秒前
5秒前
5秒前
wang完成签到,获得积分10
5秒前
5秒前
6秒前
6秒前
ssslls发布了新的文献求助10
6秒前
vlots应助小蘑菇采纳,获得30
7秒前
满意若烟发布了新的文献求助10
7秒前
Orange应助McbxM采纳,获得10
7秒前
8秒前
8秒前
lyrelias发布了新的文献求助10
8秒前
烟花应助一一采纳,获得10
8秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3123270
求助须知:如何正确求助?哪些是违规求助? 2773756
关于积分的说明 7719288
捐赠科研通 2429428
什么是DOI,文献DOI怎么找? 1290306
科研通“疑难数据库(出版商)”最低求助积分说明 621803
版权声明 600251