Ex-situ machine perfusion across the organs; shared principles and transferable knowledge from clinical trials

医学 临床试验 机器灌注 重症监护医学 过程(计算) 医学物理学 灌注 功能(生物学) 物理医学与康复 梅德林 灌注扫描 机制(生物学) 机器学习 临床研究设计 人工智能 临床疗效 风险分析(工程)
作者
Samuel J Tingle,Nicholas Chilvers,Georgios Kourounis,Emily Thompson,John Dark,Neil Sheerin,Colin Wilson,A Fisher
出处
期刊:Transplantation Reviews [Elsevier BV]
卷期号:40 (3): 101027-101027
标识
DOI:10.1016/j.trre.2026.101027
摘要

Ex-situ machine perfusion (MP) technologies have revolutionised solid organ transplantation. Their core aims are to reduce ischemia-reperfusion injury (to improve recipient outcomes), prolong preservation times, and allow organ viability assessment. Different organs have unique considerations owing to their specific sensitivity to ischemia-reperfusion injury, as well as organ-specific logistical challenges and differing consequences of poor early graft function. Despite these differences, the core pathophysiologic processes underlying ischemia-reperfusion injury are shared, resulting in an organ-agnostic pathology of early graft dysfunction. The consequence of this shared biology is an opportunity for cross-organ learning. For example, the finding that hypothermic oxygenated MP ameliorates ischemia-reperfusion injury, and improves clinically relevant outcomes, has emerged as a consistent trend in randomised trials across multiple organs. In contrast, similar improvements in recipient outcomes have not been demonstrated in randomised trials of normothermic MP, whether applied to abdominal or thoracic organs. Such an integrated perspective could enable prioritisation of therapies for evaluation, particularly in settings where clinical trial activity is constrained, such as heart transplantation, by leveraging evidence generated in kidney transplantation where larger randomised trials are feasible and early graft dysfunction is more easily tolerated. In this integrated review we assess the clinical trial evidence for ex-situ MP across kidney, heart, liver, lung and pancreas. We focus on clinical trials reporting recipient outcomes, prolonged preservation and utilisation, highlighting themes for cross-organ learning.

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
1秒前
LZ发布了新的文献求助10
2秒前
碧蓝紫山完成签到,获得积分10
2秒前
炙热香完成签到,获得积分10
4秒前
科研通AI6.2的应助被罗布林卡采纳,获得10
7秒前
郝磊完成签到,获得积分10
7秒前
Sdpol完成签到,获得积分10
10秒前
10秒前
12秒前
quanjiazhi完成签到,获得积分10
13秒前
小白发布了新的文献求助10
13秒前
14秒前
15秒前
秋风的应助被余某采纳,获得10
16秒前
Azumah发布了新的文献求助10
17秒前
淡定新烟的应助被yuquan采纳,获得10
18秒前
文艺的青旋完成签到 ,获得积分10
18秒前
沸羊羊完成签到,获得积分10
20秒前
kowster完成签到 ,获得积分10
20秒前
嗯嗯完成签到 ,获得积分10
20秒前
21秒前
ca发布了新的文献求助10
21秒前
情怀的应助被424245采纳,获得10
22秒前
23秒前
Dream完成签到,获得积分10
24秒前
酷波er的应助被rsy采纳,获得10
25秒前
都美秋发布了新的文献求助10
26秒前
Niwa576完成签到,获得积分10
27秒前
开心就吃猕猴桃完成签到,获得积分10
29秒前
英姑的应助被LXD采纳,获得30
33秒前
李爱国的应助被Favian采纳,获得10
34秒前
35秒前
无花果的应助被gxqqqqqqq采纳,获得10
35秒前
36秒前
37秒前
37秒前
38秒前
zm完成签到,获得积分10
38秒前
3432424发布了新的文献求助10
38秒前
科研通AI6.2的应助被lzh采纳,获得10
39秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Composite Materials Handbook Volume 1 - Revision H 1500
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7808011
求助须知:如何正确求助?哪些是违规求助? 9340526
关于积分的说明 20502206
捐赠科研通 7400151
什么是DOI,文献DOI怎么找? 3328555
关于科研通互助平台的介绍 2475415
邀请新用户注册赠送积分活动 2346923