Outcome of Extended Right Lobe Liver Transplantations

医学 肝移植 危险系数 经济短缺 肝病 终末期肝病模型 比例危险模型 移植 内科学 外科 胃肠病学 置信区间 语言学 哲学 政府(语言学)
作者
Vladimir J Lozanovski,Christian Unterrainer,Bernd Döhler,Caner Süsal,Arianeb Mehrabi
出处
期刊:Liver Transplantation [Lippincott Williams & Wilkins]
卷期号:28 (5): 807-818 被引量:5
标识
DOI:10.1002/lt.26374
摘要

Split-liver transplantation offers a solution to the organ shortage problem. However, the outcomes of extended right lobe liver transplantation (ERLT) and whether it is a suitable alternative to full-size liver transplantation (FSLT) remain controversial. We compared the outcomes of ERLT and FSLT in adult recipients of 43,409 first deceased donor liver transplantations using Cox regression. We also analyzed 612 ERLT and 1224 FSLT 1:2 matched cases to identify factors that affect ERLT outcome. The risk of graft loss was significantly higher following ERLT than following FSLT during the first posttransplantation year in the matched and unmatched collective (hazard ratio [HR], 1.39 and 1.27 and P = 0.01 and 0.006, respectively). Every additional hour of cold ischemia time (CIT) increased the risk of 1-year graft loss by 10% in the ERLT group compared with only 3% in the FSLT group (P = 0.003 and <0.001, respectively). Importantly, the outcome of ERLT and FSLT did not differ significantly if the CIT was below 10 hours (HR, 0.71; P = 0.22). One-year graft and patient survival were lower in high-risk ERLT recipients with a Model for End-Stage Liver Disease (MELD) score of ≥20 (HR, 1.88; P = 0.03 and HR, 2.03; P = 0.02). In the male recipient-male donor combination, ERLT recipients had a higher risk of 1-year graft loss than FSLT recipients (HR, 2.44; P = 0.006). This was probably because of the significantly higher MELD score in ERLT recipients (P = 0.004). ERLT in adults is an adequate alternative to FSLT and offers an elegant solution to the problem of organ shortage as long as the cold storage is less than 10 hours and the recipient's MELD score is <20.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
比巴伯发布了新的文献求助10
1秒前
深雨发布了新的文献求助10
3秒前
科研通AI2S应助天涯赤子采纳,获得10
4秒前
垚垚应助cao_ming采纳,获得10
4秒前
hhhhh发布了新的文献求助10
4秒前
4秒前
4秒前
冷傲冥茗发布了新的文献求助10
5秒前
科研通AI6.2应助1234567890采纳,获得10
6秒前
bill完成签到 ,获得积分10
6秒前
7秒前
cdercder应助迷人可兰采纳,获得10
7秒前
Bloo完成签到,获得积分10
7秒前
7秒前
NexusExplorer应助十三四采纳,获得10
7秒前
李健的小迷弟应助yyy采纳,获得10
7秒前
8秒前
宵宵酒醒完成签到,获得积分10
8秒前
8秒前
FashionBoy应助YIQI采纳,获得10
8秒前
8秒前
mao发布了新的文献求助30
8秒前
桐桐应助lijunzhang采纳,获得10
9秒前
拼搏晓啸发布了新的文献求助20
9秒前
xuan发布了新的文献求助10
10秒前
丰富语蕊应助kkkk采纳,获得50
10秒前
10秒前
11秒前
ciel完成签到 ,获得积分10
12秒前
英姑应助stupid采纳,获得10
12秒前
自分目覚完成签到,获得积分10
12秒前
那个岁月完成签到 ,获得积分10
12秒前
12秒前
13秒前
茜茜Rachel发布了新的文献求助10
13秒前
袁琴完成签到,获得积分20
14秒前
旅行者发布了新的文献求助10
14秒前
Liang完成签到 ,获得积分10
14秒前
沈随便驳回了852应助
14秒前
XZ发布了新的文献求助10
14秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583211
求助须知:如何正确求助?哪些是违规求助? 9161912
关于积分的说明 19605377
捐赠科研通 7165260
什么是DOI,文献DOI怎么找? 3266226
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257564