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Franchineau G, Jonkman AH, Piquilloud L, Yoshida T, Costa E, Rozé H, Camporota L, Piraino T, Spinelli E, Combes A, Alcala GC, Amato M, Mauri T, Frerichs I, Brochard LJ, Schmidt M. Electrical Impedance Tomography to Monitor Hypoxemic Respiratory Failure. Am J Respir Crit Care Med 2024; 209:670-682. [PMID: 38127779 DOI: 10.1164/rccm.202306-1118ci] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 12/20/2023] [Indexed: 12/23/2023] Open
Abstract
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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Affiliation(s)
- Guillaume Franchineau
- Service de Medecine Intensive Reanimation, Centre Hospitalier Intercommunal de Poissy-Saint-Germain-en-Laye, Poissy, France
| | - Annemijn H Jonkman
- Department of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Lise Piquilloud
- Adult Intensive Care Unit, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Takeshi Yoshida
- Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Eduardo Costa
- Pulmonary Division, Cardiopulmonary Department, Heart Institute, University of São Paulo, São Paulo, Brazil
| | - Hadrien Rozé
- Department of Thoraco-Abdominal Anesthesiology and Intensive Care, Bordeaux University Hospital, University of Bordeaux, Bordeaux, France
- Réanimation Polyvalente, Centre Hospitalier Côte Basque, Bayonne, France
| | - Luigi Camporota
- Health Centre for Human and Applied Physiological Sciences, Department of Adult Critical Care, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Thomas Piraino
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada
- Division of Critical Care, Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada
| | - Elena Spinelli
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Alain Combes
- Sorbonne Université, Groupe de Recherche Clinique 30, Réanimation et Soins Intensifs du Patient en Insuffisance Respiratoire Aigüe, UMRS_1166-ICAN, Institute of Cardiometabolism and Nutrition, Service de Médecine Intensive - Réanimation, Assistance Publique-Hôpitaux de Paris (APHP) Hôpital Pitié-Salpêtrière, Paris, France
| | - Glasiele C Alcala
- Pulmonary Division, Cardiopulmonary Department, Heart Institute, University of São Paulo, São Paulo, Brazil
| | - Marcelo Amato
- Pulmonary Division, Cardiopulmonary Department, Heart Institute, University of São Paulo, São Paulo, Brazil
| | - Tommaso Mauri
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplants, University of Milan, Milan, Italy
| | - Inéz Frerichs
- Department of Anesthesiology and Intensive Care Medicine, University Medical Centre of Schleswig-Holstein Campus Kiel, Kiel, Germany; and
| | - Laurent J Brochard
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, Ontario, Canada
| | - Matthieu Schmidt
- Sorbonne Université, Groupe de Recherche Clinique 30, Réanimation et Soins Intensifs du Patient en Insuffisance Respiratoire Aigüe, UMRS_1166-ICAN, Institute of Cardiometabolism and Nutrition, Service de Médecine Intensive - Réanimation, Assistance Publique-Hôpitaux de Paris (APHP) Hôpital Pitié-Salpêtrière, Paris, France
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Frerichs I, Schädler D, Becher T. Setting positive end-expiratory pressure by using electrical impedance tomography. Curr Opin Crit Care 2024; 30:43-52. [PMID: 38085866 DOI: 10.1097/mcc.0000000000001117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
PURPOSE OF REVIEW This review presents the principles and possibilities of setting positive end-expiratory pressure (PEEP) using electrical impedance tomography (EIT). It summarizes the major findings of recent studies where EIT was applied to monitor the effects of PEEP on regional lung function and to guide the selection of individualized PEEP setting. RECENT FINDINGS The most frequent approach of utilizing EIT for the assessment of PEEP effects and the PEEP setting during the time period from January 2022 till June 2023 was based on the analysis of pixel tidal impedance variation, typically acquired during stepwise incremental and/or decremental PEEP variation. The most common EIT parameters were the fraction of ventilation in various regions of interest, global inhomogeneity index, center of ventilation, silent spaces, and regional compliance of the respiratory system. The studies focused mainly on the spatial and less on the temporal distribution of ventilation. Contrast-enhanced EIT was applied in a few studies for the estimation of ventilation/perfusion matching. SUMMARY The availability of commercial EIT devices resulted in an increase in clinical studies using this bedside imaging technology in neonatal, pediatric and adult critically ill patients. The clinical interest in EIT became evident but the potential of this method in clinical decision-making still needs to be fully exploited.
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Affiliation(s)
- Inéz Frerichs
- Department of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
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