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Lung Recruitment Assessed by Electrical Impedance Tomography (RECRUIT): A Multicenter Study of COVID-19 Acute Respiratory Distress Syndrome.
Jonkman, Annemijn H; Alcala, Glasiele C; Pavlovsky, Bertrand; Roca, Oriol; Spadaro, Savino; Scaramuzzo, Gaetano; Chen, Lu; Dianti, Jose; Sousa, Mayson L de A; Sklar, Michael C; Piraino, Thomas; Ge, Huiqing; Chen, Guang-Qiang; Zhou, Jian-Xin; Li, Jie; Goligher, Ewan C; Costa, Eduardo; Mancebo, Jordi; Mauri, Tommaso; Amato, Marcelo; Brochard, Laurent J.
  • Jonkman AH; Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.
  • Alcala GC; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Pavlovsky B; Department of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, the Netherlands.
  • Roca O; Pulmonology Division, Cardiopulmonary Department, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil.
  • Spadaro S; Department of Anesthesia, Critical Care and Emergency, Institute for Treatment and Research, Ca' Granda Maggiore Policlinico Hospital Foundation, Milan, Italy.
  • Scaramuzzo G; University Hospital of Angers, Angers, France.
  • Chen L; Parc Taulí Hospital Universitari, Institut de Investigació i Innovació Parc Taulí, Sabadell, Spain.
  • Dianti J; Ciber Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.
  • Sousa MLA; Anesthesia and Intensive Care Medicine, University Hospital of Ferrara, Ferrara, Italy.
  • Sklar MC; Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
  • Piraino T; Anesthesia and Intensive Care Medicine, University Hospital of Ferrara, Ferrara, Italy.
  • Ge H; Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
  • Chen GQ; Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.
  • Zhou JX; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Li J; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Goligher EC; Division of Respirology, Department of Medicine, University Health Network, Toronto, Ontario, Canada.
  • Costa E; Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.
  • Mancebo J; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Mauri T; Pulmonology Division, Cardiopulmonary Department, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil.
  • Amato M; Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.
  • Brochard LJ; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
Am J Respir Crit Care Med ; 208(1): 25-38, 2023 Jul 01.
Article in English | MEDLINE | ID: covidwho-2297287
ABSTRACT
Rationale Defining lung recruitability is needed for safe positive end-expiratory pressure (PEEP) selection in mechanically ventilated patients. However, there is no simple bedside method including both assessment of recruitability and risks of overdistension as well as personalized PEEP titration.

Objectives:

To describe the range of recruitability using electrical impedance tomography (EIT), effects of PEEP on recruitability, respiratory mechanics and gas exchange, and a method to select optimal EIT-based PEEP.

Methods:

This is the analysis of patients with coronavirus disease (COVID-19) from an ongoing multicenter prospective physiological study including patients with moderate-severe acute respiratory distress syndrome of different causes. EIT, ventilator data, hemodynamics, and arterial blood gases were obtained during PEEP titration maneuvers. EIT-based optimal PEEP was defined as the crossing point of the overdistension and collapse curves during a decremental PEEP trial. Recruitability was defined as the amount of modifiable collapse when increasing PEEP from 6 to 24 cm H2O (ΔCollapse24-6). Patients were classified as low, medium, or high recruiters on the basis of tertiles of ΔCollapse24-6. Measurements and Main

Results:

In 108 patients with COVID-19, recruitability varied from 0.3% to 66.9% and was unrelated to acute respiratory distress syndrome severity. Median EIT-based PEEP differed between groups 10 versus 13.5 versus 15.5 cm H2O for low versus medium versus high recruitability (P < 0.05). This approach assigned a different PEEP level from the highest compliance approach in 81% of patients. The protocol was well tolerated; in four patients, the PEEP level did not reach 24 cm H2O because of hemodynamic instability.

Conclusions:

Recruitability varies widely among patients with COVID-19. EIT allows personalizing PEEP setting as a compromise between recruitability and overdistension. Clinical trial registered with www.clinicaltrials.gov (NCT04460859).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Distress Syndrome / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Am J Respir Crit Care Med Journal subject: Critical Care Year: 2023 Document Type: Article Affiliation country: Rccm.202212-2300OC

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Distress Syndrome / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Am J Respir Crit Care Med Journal subject: Critical Care Year: 2023 Document Type: Article Affiliation country: Rccm.202212-2300OC