Electrical impedance tomography-guided positive end-expiratory pressure titration in ARDS: a systematic review and meta-analysis.

ARDSNet Mechanical ventilation Ventilator-induced lung injury

Journal

Intensive care medicine
ISSN: 1432-1238
Titre abrégé: Intensive Care Med
Pays: United States
ID NLM: 7704851

Informations de publication

Date de publication:
21 Mar 2024
Historique:
received: 16 12 2023
accepted: 14 02 2024
medline: 21 3 2024
pubmed: 21 3 2024
entrez: 21 3 2024
Statut: aheadofprint

Résumé

Assessing efficacy of electrical impedance tomography (EIT) in optimizing positive end-expiratory pressure (PEEP) for acute respiratory distress syndrome (ARDS) patients to enhance respiratory system mechanics and prevent ventilator-induced lung injury (VILI), compared to traditional methods. We carried out a systematic review and meta-analysis, spanning literature from January 2012 to May 2023, sourced from Scopus, PubMed, MEDLINE (Ovid), Cochrane, and LILACS, evaluated EIT-guided PEEP strategies in ARDS versus conventional methods. Thirteen studies (3 randomized, 10 non-randomized) involving 623 ARDS patients were analyzed using random-effects models for primary outcomes (respiratory mechanics and mechanical power) and secondary outcomes (PaO EIT-guided PEEP significantly improved lung compliance (n = 941 cases, mean difference (MD) = 4.33, 95% confidence interval (CI) [2.94, 5.71]), reduced mechanical power (n = 148, MD = - 1.99, 95% CI [- 3.51, - 0.47]), and lowered driving pressure (n = 903, MD = - 1.20, 95% CI [- 2.33, - 0.07]) compared to traditional methods. Sensitivity analysis showed consistent positive effect of EIT-guided PEEP on lung compliance in randomized clinical trials vs. non-randomized studies pooled (MD) = 2.43 (95% CI - 0.39 to 5.26), indicating a trend towards improvement. A reduction in mortality rate (259 patients, relative risk (RR) = 0.64, 95% CI [0.45, 0.91]) was associated with modest improvements in compliance and driving pressure in three studies. EIT facilitates real-time, individualized PEEP adjustments, improving respiratory system mechanics. Integration of EIT as a guiding tool in mechanical ventilation holds potential benefits in preventing ventilator-induced lung injury. Larger-scale studies are essential to validate and optimize EIT's clinical utility in ARDS management.

Identifiants

pubmed: 38512400
doi: 10.1007/s00134-024-07362-2
pii: 10.1007/s00134-024-07362-2
doi:

Types de publication

Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : CIHR
ID : PJT190130
Pays : Canada

Informations de copyright

© 2024. The Author(s).

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Auteurs

Nickjaree Songsangvorn (N)

Keenan Research Centre for Biomedical Science and the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Department of Critical Care Medicine, Bhumibol Adulyadej Hospital, Bangkok, Thailand.

Yonghao Xu (Y)

Keenan Research Centre for Biomedical Science and the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada. dryonghao@163.com.
The State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. dryonghao@163.com.

Cong Lu (C)

Keenan Research Centre for Biomedical Science and the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.

Ori Rotstein (O)

Keenan Research Centre for Biomedical Science and the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Department of Surgery, University of Toronto, Toronto, ON, Canada.

Laurent Brochard (L)

Keenan Research Centre for Biomedical Science and the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.

Arthur S Slutsky (AS)

Keenan Research Centre for Biomedical Science and the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.

Karen E A Burns (KEA)

Keenan Research Centre for Biomedical Science and the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.

Haibo Zhang (H)

Keenan Research Centre for Biomedical Science and the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada. haibo.zhang@unityhealth.to.
Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada. haibo.zhang@unityhealth.to.
Department of Physiology, University of Toronto, Toronto, ON, Canada. haibo.zhang@unityhealth.to.
Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, ON, Canada. haibo.zhang@unityhealth.to.

Classifications MeSH