临床预测评分预测有创机械通气脱机失败:作用和局限性。

Anish Gupta, Omender Singh, Deven Juneja
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引用次数: 0

摘要

有创机械通气(IMV)已成为现代重症监护不可或缺的一部分。尽管危重患者经常需要IMV支持,但从IMV中脱机仍然是一项艰巨的任务,据报道脱机失败率高达50%。优化脱机时间可能有助于减少使用呼吸机的时间、相关的不良反应、患者不适和医疗费用。由于断奶是一个复杂的过程,WF通常是多因素的,因此已经开发了几个断奶评分来预测WF并帮助决策。这些评分是基于患者的生理和呼吸参数,但每一个都有局限性。这篇综述强调了目前用于预测WF的各种临床预测评分的作用和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical prediction scores predicting weaning failure from invasive mechanical ventilation: Role and limitations.

Invasive mechanical ventilation (IMV) has become integral to modern-day critical care. Even though critically ill patients frequently require IMV support, weaning from IMV remains an arduous task, with the reported weaning failure (WF) rates being as high as 50%. Optimizing the timing for weaning may aid in reducing time spent on the ventilator, associated adverse effects, patient discomfort, and medical care costs. Since weaning is a complex process and WF is often multi-factorial, several weaning scores have been developed to predict WF and aid decision-making. These scores are based on the patient's physiological and ventilatory parameters, but each has limitations. This review highlights the current role and limitations of the various clinical prediction scores available to predict WF.

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