Personalised mechanical ventilation tailored to lung morphology versus low positive end-expiratory pressure for patients with acute respiratory distress syndrome in France (the LIVE study): a multicentre, single-blind, randomised controlled trial.


Journal

The Lancet. Respiratory medicine
ISSN: 2213-2619
Titre abrégé: Lancet Respir Med
Pays: England
ID NLM: 101605555

Informations de publication

Date de publication:
10 2019
Historique:
received: 16 11 2018
revised: 08 03 2019
accepted: 11 03 2019
pubmed: 11 8 2019
medline: 4 7 2020
entrez: 11 8 2019
Statut: ppublish

Résumé

The effect of personalised mechanical ventilation on clinical outcomes in patients with acute respiratory distress syndrome (ARDS) remains uncertain and needs to be evaluated. We aimed to test whether a mechanical ventilation strategy that was personalised to individual patients' lung morphology would improve the survival of patients with ARDS when compared with standard of care. We designed a multicentre, single-blind, stratified, parallel-group, randomised controlled trial enrolling patients with moderate-to-severe ARDS in 20 university or non-university intensive care units in France. Patients older than 18 years with early ARDS for less than 12 h were randomly assigned (1:1) to either the control group or the personalised group using a minimisation algorithm and stratified according to the study site, lung morphology, and duration of mechanical ventilation. Only the patients were masked to allocation. In the control group, patients received a tidal volume of 6 mL/kg per predicted bodyweight and positive end-expiratory pressure (PEEP) was selected according to a low PEEP and fraction of inspired oxygen table, and early prone position was encouraged. In the personalised group, the treatment approach was based on lung morphology; patients with focal ARDS received a tidal volume of 8 mL/kg, low PEEP, and prone position. Patients with non-focal ARDS received a tidal volume of 6 mL/kg, along with recruitment manoeuvres and high PEEP. The primary outcome was 90-day mortality as established by intention-to-treat analysis. This study is registered online with ClinicalTrials.gov, NCT02149589. From June 12, 2014, to Feb 2, 2017, 420 patients were randomly assigned to treatment. 11 patients were excluded in the personalised group and nine patients were excluded in the control group; 196 patients in the personalised group and 204 in the control group were included in the analysis. In a multivariate analysis, there was no difference in 90-day mortality between the group treated with personalised ventilation and the control group in the intention-to-treat analysis (hazard ratio [HR] 1·01; 95% CI 0·61-1·66; p=0·98). However, misclassification of patients as having focal or non-focal ARDS by the investigators was observed in 85 (21%) of 400 patients. We found a significant interaction between misclassification and randomised group allocation with respect to the primary outcome (p<0·001). In the subgroup analysis, the 90-day mortality of the misclassified patients was higher in the personalised group (26 [65%] of 40 patients) than in the control group (18 [32%] of 57 patients; HR 2·8; 95% CI 1·5-5·1; p=0·012. Personalisation of mechanical ventilation did not decrease mortality in patients with ARDS, possibly because of the misclassification of 21% of patients. A ventilator strategy misaligned with lung morphology substantially increases mortality. Whether improvement in ARDS phenotyping can decrease mortality should be assessed in a future clinical trial. French Ministry of Health (Programme Hospitalier de Recherche Clinique InterRégional 2013).

Sections du résumé

BACKGROUND
The effect of personalised mechanical ventilation on clinical outcomes in patients with acute respiratory distress syndrome (ARDS) remains uncertain and needs to be evaluated. We aimed to test whether a mechanical ventilation strategy that was personalised to individual patients' lung morphology would improve the survival of patients with ARDS when compared with standard of care.
METHODS
We designed a multicentre, single-blind, stratified, parallel-group, randomised controlled trial enrolling patients with moderate-to-severe ARDS in 20 university or non-university intensive care units in France. Patients older than 18 years with early ARDS for less than 12 h were randomly assigned (1:1) to either the control group or the personalised group using a minimisation algorithm and stratified according to the study site, lung morphology, and duration of mechanical ventilation. Only the patients were masked to allocation. In the control group, patients received a tidal volume of 6 mL/kg per predicted bodyweight and positive end-expiratory pressure (PEEP) was selected according to a low PEEP and fraction of inspired oxygen table, and early prone position was encouraged. In the personalised group, the treatment approach was based on lung morphology; patients with focal ARDS received a tidal volume of 8 mL/kg, low PEEP, and prone position. Patients with non-focal ARDS received a tidal volume of 6 mL/kg, along with recruitment manoeuvres and high PEEP. The primary outcome was 90-day mortality as established by intention-to-treat analysis. This study is registered online with ClinicalTrials.gov, NCT02149589.
FINDINGS
From June 12, 2014, to Feb 2, 2017, 420 patients were randomly assigned to treatment. 11 patients were excluded in the personalised group and nine patients were excluded in the control group; 196 patients in the personalised group and 204 in the control group were included in the analysis. In a multivariate analysis, there was no difference in 90-day mortality between the group treated with personalised ventilation and the control group in the intention-to-treat analysis (hazard ratio [HR] 1·01; 95% CI 0·61-1·66; p=0·98). However, misclassification of patients as having focal or non-focal ARDS by the investigators was observed in 85 (21%) of 400 patients. We found a significant interaction between misclassification and randomised group allocation with respect to the primary outcome (p<0·001). In the subgroup analysis, the 90-day mortality of the misclassified patients was higher in the personalised group (26 [65%] of 40 patients) than in the control group (18 [32%] of 57 patients; HR 2·8; 95% CI 1·5-5·1; p=0·012.
INTERPRETATION
Personalisation of mechanical ventilation did not decrease mortality in patients with ARDS, possibly because of the misclassification of 21% of patients. A ventilator strategy misaligned with lung morphology substantially increases mortality. Whether improvement in ARDS phenotyping can decrease mortality should be assessed in a future clinical trial.
FUNDING
French Ministry of Health (Programme Hospitalier de Recherche Clinique InterRégional 2013).

Identifiants

pubmed: 31399381
pii: S2213-2600(19)30138-9
doi: 10.1016/S2213-2600(19)30138-9
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT02149589']

Types de publication

Journal Article Multicenter Study Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

870-880

Investigateurs

Cayot Sophie (C)
Godet Thomas (G)
Guerin Renaud (G)
Verlac Camille (V)
Chabanne Russel (C)
Cosserant Bernard (C)
Blondonnet Raiko (B)
Lautrette Alexandre (L)
Eisenmann Nathanael (E)
Muller Laurent (M)
Massanet Pablo (M)
Boutin Caroline (B)
Barbar Saber (B)
Roger Claire (R)
Belafia Fouad (B)
Cisse Moussa (C)
Monnin Marion (M)
Conseil Matthieu (C)
Carr Julie (C)
De Jong Audrey (J)
Dargent Auguste (D)
Andreu Pascal (A)
Lebouvrier Thomas (L)
Launey Yoann (L)
Roquilly Antoine (R)
Cinotti Raphael (C)
Boutin Caroline (B)
Tellier Anne-Charlotte (T)
Barbaz Mathilde (B)
Cohen Benjamin (C)
Lemarche Edouard (L)
Bertrand Pierre-Marie (B)
Arberlot Charlotte (A)
Zieleskiewicz Laurent (Z)
Hammad Emmanuelle (H)
Duclos Garry (D)
Mathie Calypso (M)
Dupont Herve (D)
Veber Benoit (V)
Orban Jean-Christophe (O)
Quintard Hervé (Q)
Rimmele Thomas (R)
Crozon-Clauzel Julien (CC)
Le Core Marinne (LC)
Grelon Fabien (G)
Assefi Mona (A)
Petitas Frank (P)
Morel Jerome (M)
Molliex Serge (M)
Hadanou Nanadougmar (H)

Commentaires et corrections

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Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Jean-Michel Constantin (JM)

Department of Perioperative Medicine, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France; Laboratoire Génétique, Reproduction, et Développement, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Université Clermont Auvergne, Clermont-Ferrand, France; Multidisciplinary Intensive Care Unit, Department of Anaesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Assistance Publique Hôpitaux de Paris, Paris, France. Electronic address: jmconstantin@chu-clermontferrand.fr.

Matthieu Jabaudon (M)

Department of Perioperative Medicine, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France; Laboratoire Génétique, Reproduction, et Développement, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Université Clermont Auvergne, Clermont-Ferrand, France.

Jean-Yves Lefrant (JY)

Service des Réanimations, Pôle Anesthésie Douleur Urgences Réanimation, Centre Hospitalier Universitaire de Nîmes, Nîmes, France.

Samir Jaber (S)

Montpellier University Hospital, Saint Eloi Intensive Care Unit and PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France.

Jean-Pierre Quenot (JP)

Department of Intensive Care, François Mitterrand University Hospital, Dijon, France; Lipness Team, INSERM Research Centre, and LabExLipSTIC, University of Burgundy, Dijon, France; INSERM Centres d'Investigation Clinique, Department of Clinical Epidemiology, University of Burgundy, Dijon, France.

Olivier Langeron (O)

Multidisciplinary Intensive Care Unit, Department of Anaesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Assistance Publique Hôpitaux de Paris, Paris, France.

Martine Ferrandière (M)

Department of Anaesthesia and Intensive Care Medicine, Regional University Centre of Tours, Tours, France.

Fabien Grelon (F)

Service de Réanimation, General Hospital Le Mans, Le Mans, France.

Philippe Seguin (P)

Department of Intensive Care Medicine, University Hospital of Rennes, University of Rennes 1 and Unité Mixte de Recherche NuMeCan, Rennes, France.

Carole Ichai (C)

Intensive Care Unit, University Hospital of Nice, Université Côte d'Azur, Nice, France.

Benoit Veber (B)

Pôle Anesthésie-Réanimation-SAMU, Rouen University Hospital, Rouen, France.

Bertrand Souweine (B)

Service de Médicine Intensive et Réanimation, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France.

Thomas Uberti (T)

Department of Anaesthesiology and Intensive Care Medicine, Edouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France.

Sigismond Lasocki (S)

Department of Anaesthesiology and Reanimation, University Hospital Angers, Angers, France.

François Legay (F)

Service de Réanimation, Hospital General Saint-Brieuc, Saint-Brieuc, France.

Marc Leone (M)

Service d'Anesthésie-Réanimation, Assistance Publique-Hôpitaux de Marseille, Hôpital Nord, Aix-Marseille Université, Marseille, France.

Nathanael Eisenmann (N)

Department of Anaesthesiology and Critical Care, Centre Régional de Lutte Contre le Cancer Jean Perrin, Clermont-Ferrand, France.

Claire Dahyot-Fizelier (C)

Department of Anaesthesia-Intensive Care and Perioperative Medicine, University Hospital of Poitiers, University of Poitiers, INSERM, Poitiers, France.

Hervé Dupont (H)

Unité de Recherche Clinique Simplification des Soins chez les Patients Complexes, Université Jules Verne de Picardie, Service d'Anesthésie-Réanimation, Centre Hospitalier Universitaire d'Amiens Picardie, Amiens, France.

Karim Asehnoune (K)

Service d'Anesthésie Réanimation Chirurgicale, Centre Hospitalier Universitaire de Nantes, Hôtel Dieu-HME Hospital, Nantes, France.

Achille Sossou (A)

Service de Réanimation, Centre Hospitalier Général du Puy-en-Velay, Puy-en-Velay, France.

Gérald Chanques (G)

Montpellier University Hospital, Saint Eloi Intensive Care Unit and PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France.

Laurent Muller (L)

Service des Réanimations, Pôle Anesthésie Douleur Urgences Réanimation, Centre Hospitalier Universitaire de Nîmes, Nîmes, France.

Jean-Etienne Bazin (JE)

Department of Perioperative Medicine, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France; Laboratoire Génétique, Reproduction, et Développement, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Université Clermont Auvergne, Clermont-Ferrand, France.

Antoine Monsel (A)

Multidisciplinary Intensive Care Unit, Department of Anaesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Assistance Publique Hôpitaux de Paris, Paris, France.

Lucile Borao (L)

Biostatistical Unit, Department of Clinical Research and Innovation, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France.

Jean-Marc Garcier (JM)

Department of Radiology, Estaing Hospital, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France.

Jean-Jacques Rouby (JJ)

Multidisciplinary Intensive Care Unit, Department of Anaesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Assistance Publique Hôpitaux de Paris, Paris, France.

Bruno Pereira (B)

Biostatistical Unit, Department of Clinical Research and Innovation, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France.

Emmanuel Futier (E)

Department of Perioperative Medicine, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France; Laboratoire Génétique, Reproduction, et Développement, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Université Clermont Auvergne, Clermont-Ferrand, France.

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