From Child-Pugh to MELD score and beyond: Taking a walk down memory lane

医学 肝病 肝移植 内科学 病因学 肌酐 终末期肝病模型 移植 重症监护医学 胃肠病学 外科
作者
Andrés E. Ruf,Melisa Dirchwolf,Richard B. Freeman
出处
期刊:Annals of Hepatology [Elsevier]
卷期号:27 (1): 100535-100535 被引量:98
标识
DOI:10.1016/j.aohep.2021.100535
摘要

The Child-Turcotte-Pugh (CTP) and the MELD (Model for End-Stage Liver Disease) scores were designed to predict the outcome of decompressive therapy for portal hypertension. They were prospectively validated to predict mortality risk in patients with a wide spectrum of liver disease etiology and severity. Unlike the CTP score, the MELD score was derived from prospectively gathered data. Its calculation was based on serum bilirubin, serum creatinine, international normalized ratio (INR) and etiology of liver disease. Instituting a continuous disease severity score that de-emphasizes waiting time resulted in better categorization of waiting patients and enhanced transparency. The US instituted the MELD system in 2002 and soon thereafter, MELD-based liver allocation was adopted throughout the world including Latin America. The most significant impact of MELD-based policies has been the reduction of waiting-list mortality. In the years after implementation of the MELD system, several options have been proposed to improve the MELD score's accuracy. Adding serum sodium (MELD-Na) increased the accuracy of the score in predicting waiting list mortality, thus completing the original MELD score as a prognostic model in liver allocation. On the 20th anniversary of the creation of MELD score we present a brief account of its development, its use to stratify patients on the waiting list for liver transplantation as well as its adoption as liver allocation system .
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
一点发布了新的文献求助10
1秒前
煜琪发布了新的文献求助10
1秒前
跳跃发布了新的文献求助30
2秒前
yuu应助Tonald Yang采纳,获得10
2秒前
4秒前
hhan完成签到,获得积分10
5秒前
量子星尘发布了新的文献求助10
5秒前
Dain完成签到,获得积分10
5秒前
合适凡发布了新的文献求助10
7秒前
君君菌菌博士完成签到,获得积分10
7秒前
小黑完成签到 ,获得积分10
8秒前
ccooico完成签到,获得积分10
9秒前
彭于晏应助煜琪采纳,获得10
10秒前
shadow完成签到,获得积分10
10秒前
拼搏灵煌发布了新的文献求助10
11秒前
11秒前
傅立叶完成签到,获得积分10
12秒前
Chuwei完成签到 ,获得积分10
13秒前
13秒前
小娄娄娄发布了新的文献求助10
14秒前
xuan完成签到,获得积分10
14秒前
时安完成签到,获得积分10
15秒前
长命百岁完成签到 ,获得积分10
15秒前
存在完成签到,获得积分10
15秒前
15秒前
17秒前
17秒前
合适凡完成签到,获得积分10
17秒前
xuan完成签到,获得积分10
18秒前
ZZZ发布了新的文献求助10
18秒前
塞莱希布应助doctor fighting采纳,获得10
18秒前
之后再说咯完成签到,获得积分10
19秒前
思源应助xiang采纳,获得10
19秒前
迷人的长颈鹿应助傅立叶采纳,获得10
19秒前
19秒前
啦啦啦完成签到,获得积分10
20秒前
萤火虫完成签到 ,获得积分10
21秒前
Green完成签到,获得积分10
22秒前
Lucas应助姜姜姜姜采纳,获得10
22秒前
wwq发布了新的文献求助10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1041
Mentoring for Wellbeing in Schools 1000
Binary Alloy Phase Diagrams, 2nd Edition 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5494624
求助须知:如何正确求助?哪些是违规求助? 4592297
关于积分的说明 14436374
捐赠科研通 4525125
什么是DOI,文献DOI怎么找? 2479216
邀请新用户注册赠送积分活动 1464035
关于科研通互助平台的介绍 1437045