Back to Search
Start Over
Airway driving pressure is associated with postoperative pulmonary complications after major abdominal surgery: a multicentre retrospective observational cohort study.
- Source :
-
BJA open [BJA Open] 2022 Dec; Vol. 4. Date of Electronic Publication: 2022 Oct 18. - Publication Year :
- 2022
-
Abstract
- Background: High airway driving pressure is associated with adverse outcomes in critically ill patients receiving mechanical ventilation, but large multicentre studies investigating airway driving pressure during major surgery are lacking. We hypothesised that increased driving pressure is associated with postoperative pulmonary complications in patients undergoing major abdominal surgery.<br />Methods: In this preregistered multicentre retrospective observational cohort study, the authors reviewed major abdominal surgical procedures in 11 hospitals from 2004 to 2018. The primary outcome was a composite of postoperative pulmonary complications, defined as postoperative pneumonia, unplanned tracheal intubation, or prolonged mechanical ventilation for more than 48 h. Associations between intraoperative dynamic driving pressure and outcomes, adjusted for patient and procedural factors, were evaluated.<br />Results: Among 14 218 qualifying cases, 389 (2.7%) experienced postoperative pulmonary complications. After adjustment, the mean dynamic driving pressure was associated with postoperative pulmonary complications (adjusted odds ratio for every 1 cm H <subscript>2</subscript> O increase: 1.04; 95% confidence interval [CI], 1.02-1.06; P <0.001). Neither tidal volume nor PEEP was associated with postoperative pulmonary complications. Increased BMI, shorter height, and female sex were predictors for higher dynamic driving pressure (β=0.35, 95% CI 0.32-0.39, P <0.001; β=-0.01, 95% CI -0.02 to 0.00, P =0.005; and β=0.74, 95% CI 0.63-0.86, P <0.001, respectively).<br />Conclusions: Dynamic airway driving pressure, but not tidal volume or PEEP, is associated with postoperative pulmonary complications in models controlling for a large number of risk predictors and covariates. Such models are capable of risk prediction applicable to individual patients.<br />Competing Interests: Declarations of interest DAC reports research funding (paid to institution) unrelated to the presented work from Merck & Co. Inc. (Rahway, NJ, USA). All other authors declare that they have no conflicts of interest.
Details
- Language :
- English
- ISSN :
- 2772-6096
- Volume :
- 4
- Database :
- MEDLINE
- Journal :
- BJA open
- Publication Type :
- Academic Journal
- Accession number :
- 36687665
- Full Text :
- https://doi.org/10.1016/j.bjao.2022.100099