医学
临床终点
肺移植
重症监护医学
公制(单位)
终点
移植
重症监护室
相关性(法律)
肺
外科
内科学
随机对照试验
计算机科学
运营管理
法学
政治学
经济
实时计算
作者
Andrew T. Sage,John K. Peel,Jerome Valero,Jonathan Yeung,Mingyao Liu,Marcelo Cypel,Beate Sander,Shaf Keshavjee
标识
DOI:10.1016/j.healun.2023.06.019
摘要
The field of transplantation would benefit from the integration of advanced precision medicine techniques. Although predictive tests for lung transplantation require a well-defined clinical end-point, there exists no consensus regarding which outcomes are optimal end-points for these purposes. While many possible candidate end-points exist, we propose that time-to-extubation is an optimal end-point for prognostic tests because of its: clinical relevance; objectiveness; stability over time; and association with healthcare expenditure. Herein, we describe the rationale for this selection and present the limitations of alternative outcomes for this purpose. Using a 72-hour cut-off, time to extubation correlated well with Primary Graft Dysfunction Grade 3, intensive care unit and hospital length of stay, and a greater than 2-fold increase in healthcare cost ratios. Given that time-to-extubation is an objective measure that is readily measured by all lung transplant centers, this metric represents a preferred primary end-point for prognostic tests developed for lung transplantation.
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