Electrical Impedance Tomography to Monitor Hypoxemic Respiratory Failure

医学 电阻抗断层成像 机械通风 通风(建筑) 重症监护 重症监护医学 持续监测 呼吸衰竭 急性呼吸窘迫 重症监护室 急诊医学 放射科 断层摄影术 外科 麻醉 内科学 运营管理 经济 工程类 机械工程
作者
Guillaume Franchineau,Annemijn H. Jonkman,Lise Piquilloud,Takeshi Yoshida,Eduardo Leite Vieira Costa,Hadrien Rozé,Luigi Camporota,Thomas Piraino,Elena Spinelli,Alain Combes,Glasiele Cristina Alcala,Marcelo B. P. Amato,Tommaso Mauri,Inéz Frerichs,Laurent Brochard,Matthieu Schmidt
出处
期刊:American Journal of Respiratory and Critical Care Medicine [American Thoracic Society]
卷期号:209 (6): 670-682 被引量:21
标识
DOI:10.1164/rccm.202306-1118ci
摘要

Hypoxemic respiratory failure is one of the leading causes of mortality in intensive care. Frequent assessment of individual physiological characteristics and delivery of personalized mechanical ventilation (MV) settings is a constant challenge for clinicians caring for these patients. Electrical impedance tomography (EIT) is a radiation-free bedside monitoring device that is able to assess regional lung ventilation and changes in aeration. With real-time tomographic functional images of the lungs obtained through a thoracic belt, clinicians can visualize and estimate the distribution of ventilation at different ventilation settings or following procedures such as prone positioning. Several studies have evaluated the performance of EIT to monitor the effects of different MV settings in patients with acute respiratory distress syndrome, allowing more personalized MV. For instance, EIT could help clinicians find the positive end-expiratory pressure that represents a compromise between recruitment and overdistension and assess the effect of prone positioning on ventilation distribution. The clinical impact of the personalization of MV remains to be explored. Despite inherent limitations such as limited spatial resolution, EIT also offers a unique noninvasive bedside assessment of regional ventilation changes in the ICU. This technology offers the possibility of a continuous, operator-free diagnosis and real-time detection of common problems during MV. This review provides an overview of the functioning of EIT, its main indices, and its performance in monitoring patients with acute respiratory failure. Future perspectives for use in intensive care are also addressed.
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