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Lung- and diaphragm-protective strategies in acute respiratory failure: an in silico trial.
Ratano, Damian; Zhang, Binghao; Dianti, Jose; Georgopoulos, Dimitrios; Brochard, Laurent J; Chan, Timothy C Y; Goligher, Ewan C.
Afiliação
  • Ratano D; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto General Hospital, 585 University Ave, 9-MaRS-9024, Toronto, ON, M5G 2N2, Canada.
  • Zhang B; Intensive Care and Burn Unit, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
  • Dianti J; Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
  • Georgopoulos D; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto General Hospital, 585 University Ave, 9-MaRS-9024, Toronto, ON, M5G 2N2, Canada.
  • Brochard LJ; Department of Intensive Care Medicine, University Hospital of Heraklion, University of Crete, Heraklion, Greece.
  • Chan TCY; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto General Hospital, 585 University Ave, 9-MaRS-9024, Toronto, ON, M5G 2N2, Canada.
  • Goligher EC; Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
Intensive Care Med Exp ; 12(1): 20, 2024 Feb 28.
Article em En | MEDLINE | ID: mdl-38416269
ABSTRACT

BACKGROUND:

Lung- and diaphragm-protective (LDP) ventilation may prevent diaphragm atrophy and patient self-inflicted lung injury in acute respiratory failure, but feasibility is uncertain. The objectives of this study were to estimate the proportion of patients achieving LDP targets in different modes of ventilation, and to identify predictors of need for extracorporeal carbon dioxide removal (ECCO2R) to achieve LDP targets.

METHODS:

An in silico clinical trial was conducted using a previously published mathematical model of patient-ventilator interaction in a simulated patient population (n = 5000) with clinically relevant physiological characteristics. Ventilation and sedation were titrated according to a pre-defined algorithm in pressure support ventilation (PSV) and proportional assist ventilation (PAV+) modes, with or without adjunctive ECCO2R, and using ECCO2R alone (without ventilation or sedation). Random forest modelling was employed to identify patient-level factors associated with achieving targets.

RESULTS:

After titration, the proportion of patients achieving targets was lower in PAV+ vs. PSV (37% vs. 43%, odds ratio 0.78, 95% CI 0.73-0.85). Adjunctive ECCO2R substantially increased the probability of achieving targets in both PSV and PAV+ (85% vs. 84%). ECCO2R alone without ventilation or sedation achieved LDP targets in 9%. The main determinants of success without ECCO2R were lung compliance, ventilatory ratio, and strong ion difference. In silico trial results corresponded closely with the results obtained in a clinical trial of the LDP titration algorithm (n = 30).

CONCLUSIONS:

In this in silico trial, many patients required ECCO2R in combination with mechanical ventilation and sedation to achieve LDP targets. ECCO2R increased the probability of achieving LDP targets in patients with intermediate degrees of derangement in elastance and ventilatory ratio.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article