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Selpien H, Eimer C, Thunecke D, Penon J, Schädler D, Lautenschläger I, Ohnesorge H, Becher T. Adjustment of positive end-expiratory pressure to body mass index during mechanical ventilation in general anesthesia: BodyVent, a randomized controlled trial. Trials 2024; 25:282. [PMID: 38671523 PMCID: PMC11046837 DOI: 10.1186/s13063-024-08107-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND In patients requiring general anesthesia, lung-protective ventilation can prevent postoperative pulmonary complications, which are associated with higher morbidity, mortality, and prolonged hospital stay. Application of positive end-expiratory pressure (PEEP) is one component of lung-protective ventilation. The correct strategy for setting adequate PEEP, however, remains controversial. PEEP settings that lead to a lower pressure difference between end-inspiratory plateau pressure and end-expiratory pressure ("driving pressure," ΔP) may reduce the risk of postoperative pulmonary complications. Preliminary data suggests that the PEEP required to prevent both end-inspiratory overdistension and end-expiratory alveolar collapse, thereby reducing ΔP, correlates positively with the body mass index (BMI) of patients, with PEEP values corresponding to approximately 1/3 of patient's respective BMI. Thus, we hypothesize that adjusting PEEP according to patient BMI reduces ΔP and may result in less postoperative pulmonary complications. METHODS Patients undergoing general anesthesia and endotracheal intubation with volume-controlled ventilation with a tidal volume of 7 ml per kg predicted body weight will be randomized and assigned to either an intervention group with PEEP adjusted according to BMI or a control group with a standardized PEEP of 5 mbar. Pre- and postoperatively, lung ultrasound will be performed to determine the lung aeration score, and hemodynamic and respiratory vital signs will be recorded for subsequent evaluation. The primary outcome is the difference in ΔP as a surrogate parameter for lung-protective ventilation. Secondary outcomes include change in lung aeration score, intraoperative occurrence of hemodynamic and respiratory events, oxygen requirements and postoperative pulmonary complications. DISCUSSION The study results will show whether an intraoperative ventilation strategy with PEEP adjustment based on BMI has the potential of reducing the risk for postoperative pulmonary complications as an easy-to-implement intervention that does not require lengthy ventilator maneuvers nor additional equipment. TRIAL REGISTRATION German Clinical Trials Register (DRKS), DRKS00031336. Registered 21st February 2023. TRIAL STATUS The study protocol was approved by the ethics committee of the Christian-Albrechts-Universität Kiel, Germany, on 1st February 2023. Recruitment began in March 2023 and is expected to end in September 2023.
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Affiliation(s)
- Helene Selpien
- Department for Anesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller Str. 3, 24105, Kiel, Germany.
| | - Christine Eimer
- Department for Anesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller Str. 3, 24105, Kiel, Germany
| | - David Thunecke
- Department for Anesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller Str. 3, 24105, Kiel, Germany
| | - Jann Penon
- Department for Anesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller Str. 3, 24105, Kiel, Germany
| | - Dirk Schädler
- Department for Anesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller Str. 3, 24105, Kiel, Germany
| | - Ingmar Lautenschläger
- Department for Anesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller Str. 3, 24105, Kiel, Germany
| | - Henning Ohnesorge
- Department for Anesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller Str. 3, 24105, Kiel, Germany
| | - Tobias Becher
- Department for Anesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller Str. 3, 24105, Kiel, Germany
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Jonkman AH, Alcala GC, Pavlovsky B, Roca O, Spadaro S, Scaramuzzo G, Chen L, Dianti J, Sousa MLDA, Sklar MC, Piraino T, Ge H, Chen GQ, Zhou JX, Li J, Goligher EC, Costa E, Mancebo J, Mauri T, Amato M, Brochard LJ. Lung Recruitment Assessed by Electrical Impedance Tomography (RECRUIT): A Multicenter Study of COVID-19 Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med 2023; 208:25-38. [PMID: 37097986 PMCID: PMC10870845 DOI: 10.1164/rccm.202212-2300oc] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 04/24/2023] [Indexed: 04/26/2023] Open
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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Affiliation(s)
- Annemijn H. Jonkman
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Glasiele C. Alcala
- Pulmonology Division, Cardiopulmonary Department, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil
| | - Bertrand Pavlovsky
- Department of Anesthesia, Critical Care and Emergency, Institute for Treatment and Research, Ca’ Granda Maggiore Policlinico Hospital Foundation, Milan, Italy
- University Hospital of Angers, Angers, France
| | - Oriol Roca
- Parc Taulí Hospital Universitari, Institut de Investigació i Innovació Parc Taulí, Sabadell, Spain
- Ciber Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Savino Spadaro
- Anesthesia and Intensive Care Medicine, University Hospital of Ferrara, Ferrara, Italy
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Gaetano Scaramuzzo
- Anesthesia and Intensive Care Medicine, University Hospital of Ferrara, Ferrara, Italy
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Lu Chen
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jose Dianti
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Respirology, Department of Medicine, University Health Network, Toronto, Ontario, Canada
| | - Mayson L. de A. Sousa
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Pulmonology Division, Cardiopulmonary Department, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil
| | - Michael C. Sklar
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Thomas Piraino
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Huiqing Ge
- Department of Respiratory and Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guang-Qiang Chen
- Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jian-Xin Zhou
- Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jie Li
- Department of Cardiopulmonary Sciences, Division of Respiratory Care, Rush University, Chicago, Illinois
| | - Ewan C. Goligher
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Respirology, Department of Medicine, University Health Network, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Eduardo Costa
- Pulmonology Division, Cardiopulmonary Department, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil
| | - Jordi Mancebo
- Servei de Medicina Intensiva Hospital de Sant Pau, Barcelona, Spain; and
| | - Tommaso Mauri
- Department of Anesthesia, Intensive Care and Emergency, Fondazione IRCCS Ca’ Granda General Hospital, Milan, Italy
| | - Marcelo Amato
- Pulmonology Division, Cardiopulmonary Department, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil
| | - Laurent J. Brochard
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
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