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The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing.
Brault, Clement; Mancebo, Jordi; Suarez Montero, Juan-Carlos; Bentall, Tracey; Burns, Karen E A; Piraino, Thomas; Lellouche, François; Bouchard, Pierre-Alexandre; Charbonney, Emmanuel; Carteaux, Guillaume; Maraffi, Tommaso; Beduneau, Gaëtan; Mercat, Alain; Skrobik, Yoanna; Zuo, Fei; Lafreniere-Roula, Myriam; Thorpe, Kevin; Brochard, Laurent; Bosma, Karen J.
  • Brault C; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, 209 Victoria St, Toronto, ON, Canada. Clement.brault@unityhealth.to.
  • Mancebo J; Interdepartmental Division of Critical Care, University of Toronto, Toronto, Canada. Clement.brault@unityhealth.to.
  • Suarez Montero JC; Intensive Care Department, Amiens-Picardie University Hospital, Amiens, France. Clement.brault@unityhealth.to.
  • Bentall T; Intensive Care Department, Hospital Universitari de La Santa Creu I Sant Pau, Barcelona, Spain.
  • Burns KEA; Intensive Care Department, Hospital Universitari de La Santa Creu I Sant Pau, Barcelona, Spain.
  • Piraino T; Interdepartmental Division of Critical Care, University of Toronto, Toronto, Canada.
  • Lellouche F; Interdepartmental Division of Critical Care, University of Toronto, Toronto, Canada.
  • Bouchard PA; Unity Health Toronto - St. Michael's Hospital, Toronto, ON, Canada.
  • Charbonney E; Applied Health Research Institute, St. Michael's Hospital, Toronto, ON, Canada.
  • Carteaux G; Unity Health Toronto - St. Michael's Hospital, Toronto, ON, Canada.
  • Maraffi T; Département de Médecine Québec, Université Laval, Québec City, QC, Canada.
  • Beduneau G; Institut Universitaire de Cardiologie Et de Pneumologie de Québec, Québec City, QC, Canada.
  • Mercat A; Institut Universitaire de Cardiologie Et de Pneumologie de Québec, Québec City, QC, Canada.
  • Skrobik Y; Centre de Recherche du Centre Hospitalier de L'Université de Montréal, Montréal, QC, Canada.
  • Zuo F; Centre de Recherche du CIUSSS NIM, Montréal, QC, Canada.
  • Lafreniere-Roula M; Medical Intensive Care Department, AP-HP, Henri Mondor University Hospital, Créteil, France.
  • Thorpe K; Faculté de Santé, Groupe de Recherche Clinique CARMAS, Université Paris Est-Créteil, 94010, Créteil, France.
  • Brochard L; INSERM U955, Institut Mondor de Recherche Biomédicale, 94010, Créteil, France.
  • Bosma KJ; Service de Réanimation, Centre Hospitalier Intercommunal de Créteil, 40 Avenue de Verdun, 94000, Créteil, France.
Crit Care ; 26(1): 188, 2022 06 23.
Article en En | MEDLINE | ID: mdl-35739553
BACKGROUND: Liberating patients from mechanical ventilation (MV) requires a systematic approach. In the context of a clinical trial, we developed a simple algorithm to identify patients who tolerate assisted ventilation but still require ongoing MV to be randomized. We report on the use of this algorithm to screen potential trial participants for enrollment and subsequent randomization in the Proportional Assist Ventilation for Minimizing the Duration of MV (PROMIZING) study. METHODS: The algorithm included five steps: enrollment criteria, pressure support ventilation (PSV) tolerance trial, weaning criteria, continuous positive airway pressure (CPAP) tolerance trial (0 cmH2O during 2 min) and spontaneous breathing trial (SBT): on fraction of inspired oxygen (FiO2) 40% for 30-120 min. Patients who failed the weaning criteria, CPAP Zero trial, or SBT were randomized. We describe the characteristics of patients who were initially enrolled, but passed all steps in the algorithm and consequently were not randomized. RESULTS: Among the 374 enrolled patients, 93 (25%) patients passed all five steps. At time of enrollment, most patients were on PSV (87%) with a mean (± standard deviation) FiO2 of 34 (± 6) %, PSV of 8.7 (± 2.9) cmH2O, and positive end-expiratory pressure of 6.1 (± 1.6) cmH2O. Minute ventilation was 9.0 (± 3.1) L/min with a respiratory rate of 17.4 (± 4.4) breaths/min. Patients were liberated from MV with a median [interquartile range] delay between initial screening and extubation of 5 [1-49] hours. Only 7 (8%) patients required reintubation. CONCLUSION: The trial algorithm permitted identification of 93 (25%) patients who were ready to extubate, while their clinicians predicted a duration of ventilation higher than 24 h.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Desconexión del Ventilador / Extubación Traqueal Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Desconexión del Ventilador / Extubación Traqueal Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article