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Electrical Impedance Tomography to Monitor Hypoxemic Respiratory Failure.
Franchineau, Guillaume; Jonkman, Annemijn H; Piquilloud, Lise; Yoshida, Takeshi; Costa, Eduardo; Rozé, Hadrien; Camporota, Luigi; Piraino, Thomas; Spinelli, Elena; Combes, Alain; Alcala, Glasiele C; Amato, Marcelo; Mauri, Tommaso; Frerichs, Inéz; Brochard, Laurent J; Schmidt, Matthieu.
Affiliation
  • Franchineau G; Service de Medecine Intensive Reanimation, Centre Hospitalier Intercommunal de Poissy-Saint-Germain-en-Laye, Poissy, France.
  • Jonkman AH; Department of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Piquilloud L; Adult Intensive Care Unit, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.
  • Yoshida T; Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Costa E; Pulmonary Division, Cardiopulmonary Department, Heart Institute, University of São Paulo, São Paulo, Brazil.
  • Rozé H; Department of Thoraco-Abdominal Anesthesiology and Intensive Care, Bordeaux University Hospital, University of Bordeaux, Bordeaux, France.
  • Camporota L; Réanimation Polyvalente, Centre Hospitalier Côte Basque, Bayonne, France.
  • Piraino T; 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.
  • Spinelli E; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada.
  • Combes A; Division of Critical Care, Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada.
  • Alcala GC; Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
  • Amato M; 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-Sal
  • Mauri T; Pulmonary Division, Cardiopulmonary Department, Heart Institute, University of São Paulo, São Paulo, Brazil.
  • Frerichs I; Pulmonary Division, Cardiopulmonary Department, Heart Institute, University of São Paulo, São Paulo, Brazil.
  • Brochard LJ; Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
  • Schmidt M; Department of Pathophysiology and Transplants, University of Milan, Milan, Italy.
Am J Respir Crit Care Med ; 209(6): 670-682, 2024 03 15.
Article in En | MEDLINE | ID: mdl-38127779
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Distress Syndrome / Respiratory Insufficiency Limits: Humans Language: En Journal: Am J Respir Crit Care Med Journal subject: TERAPIA INTENSIVA Year: 2024 Document type: Article Affiliation country: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Distress Syndrome / Respiratory Insufficiency Limits: Humans Language: En Journal: Am J Respir Crit Care Med Journal subject: TERAPIA INTENSIVA Year: 2024 Document type: Article Affiliation country: France