Development and validation of the lung donor (LUNDON) acceptability score for pulmonary transplantation

医学 肺移植 队列 移植 内科学 置信区间 脑死亡 吸入氧分数 外科 机械通风
作者
Brendan T. Heiden,Zhizhou Yang,Yun Bai,Yan Yan,Su‐Hsin Chang,Yikyung Park,Graham A. Colditz,Hank Dart,Ramsey R. Hachem,Chad A. Witt,Rodrigo Vazquez Guillamet,Derek E. Byers,Gary Marklin,Michael K. Pasque,Daniel Kreisel,Ruben G. Nava,Bryan F. Meyers,Benjamin D. Kozower,Varun Puri
出处
期刊:American Journal of Transplantation [Elsevier BV]
卷期号:23 (4): 540-548
标识
DOI:10.1016/j.ajt.2022.12.014
摘要

There is a chronic shortage of donor lungs for pulmonary transplantation due, in part, to low lung utilization rates in the United States. We performed a retrospective cohort study using data from the Scientific Registry of Transplant Recipients database (2006-2019) and developed the lung donor (LUNDON) acceptability score. A total of 83 219 brain-dead donors were included and were randomly divided into derivation (n = 58 314, 70%) and validation (n = 24 905, 30%) cohorts. The overall lung acceptance was 27.3% (n = 22 767). Donor factors associated with the lung acceptance were age, maximum creatinine, ratio of arterial partial pressure of oxygen to fraction of inspired oxygen, mechanism of death by asphyxiation or drowning, history of cigarette use (≥20 pack-years), history of myocardial infarction, chest x-ray appearance, bloodstream infection, and the occurrence of cardiac arrest after brain death. The prediction model had high discriminatory power (C statistic, 0.891; 95% confidence interval, 0.886-0.895) in the validation cohort. We developed a web-based, user-friendly tool (available at https://sites.wustl.edu/lundon) that provides the predicted probability of donor lung acceptance. LUNDON score was also associated with recipient survival in patients with high lung allocation scores. In conclusion, the multivariable LUNDON score uses readily available donor characteristics to reliably predict lung acceptability. Widespread adoption of this model may standardize lung donor evaluation and improve lung utilization rates.

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
1799完成签到,获得积分10
刚刚
刚刚
梓树完成签到,获得积分10
1秒前
雨田发布了新的文献求助10
1秒前
达达完成签到,获得积分10
1秒前
123发布了新的文献求助20
1秒前
阔达烙完成签到,获得积分10
1秒前
张张完成签到 ,获得积分10
1秒前
czz完成签到,获得积分10
1秒前
sunshine发布了新的文献求助10
2秒前
小陈完成签到,获得积分10
2秒前
绵绵球应助Raindown采纳,获得10
2秒前
风中的丝袜完成签到,获得积分10
2秒前
MOMO完成签到,获得积分10
3秒前
妙松完成签到,获得积分10
3秒前
黑豆也完成签到,获得积分10
3秒前
麦辣鸡腿堡完成签到,获得积分10
3秒前
LiYipeiiiiOvO发布了新的文献求助10
3秒前
无野子完成签到,获得积分10
3秒前
CipherSage应助小黑球采纳,获得10
4秒前
外向可冥完成签到,获得积分10
4秒前
搜集达人应助yin采纳,获得10
4秒前
Mockingjay完成签到,获得积分10
5秒前
甜味白开水完成签到,获得积分10
6秒前
7秒前
yaya应助披着羊皮的狼采纳,获得10
7秒前
Jason完成签到,获得积分10
7秒前
Qin应助风中的丝袜采纳,获得30
8秒前
孤云出岫完成签到,获得积分10
8秒前
才玉先生发布了新的文献求助10
9秒前
HP完成签到,获得积分10
9秒前
英姑应助123采纳,获得10
9秒前
学林书屋完成签到,获得积分10
9秒前
ai幸完成签到,获得积分10
10秒前
科研通AI6.2应助发顺丰采纳,获得10
10秒前
明天好完成签到,获得积分10
10秒前
10秒前
无聊的霸完成签到,获得积分10
10秒前
10秒前
yunt完成签到 ,获得积分10
12秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7282654
求助须知:如何正确求助?哪些是违规求助? 8903414
关于积分的说明 18834948
捐赠科研通 6953342
什么是DOI,文献DOI怎么找? 3207592
关于科研通互助平台的介绍 2377864
邀请新用户注册赠送积分活动 2182798