Respiratory failure & ventilation

High Positive End-expiratory Pressure (PEEP) with Recruitment Maneuvers versus Low PEEP during General Anesthesia for Surgery: A Bayesian Individual Patient Data Meta-analysis of Three Randomized Clinical Trials

AnesthesiologyPublished Bayesian individual patient data meta-analysis of randomised trials

Authors' conclusion

High PEEP with recruitment maneuvers demonstrated a moderate reduction in the probability of postoperative pulmonary complication occurrence, with a high posterior probability of benefit observed consistently across various prior beliefs, particularly among patients who underwent laparoscopy.

Study context

Population
Surgical patients under GA at intermediate to high risk for PPCs3 RCTs
Comparison
High PEEP with recruitment maneuvers vs low PEEP
Outcome
Occurrence of PPCs
Follow-up
Early postoperative period
Methodological detailsmultilevel Bayesian logistic regression, neutral, pessimistic and optimistic priors
  • Multilevel Bayesian logistic regression
  • Neutral, pessimistic and optimistic priors

Pooled result

As reported in the abstract

High PEEP vs Low PEEPPosterior mean OR (95% CrI)
Neutral prior; CrI
0.85(0.71–1.02)
Pessimistic prior; CrI
0.87(0.72–1.04)
Optimistic prior; CrI
0.86(0.71–1.02)
Posterior probability of beneficial effect, regardless of prior
exceeded 90%

Further pooled results

PPCs, laparoscopy (subgroup)

More pronounced effect in patients who underwent laparoscopy, OR
0.67 [0.50 to 0.87] (CrI)
  • Bayesian subgroup analysis

PPCs, high risk for PPCs (subgroup)

More pronounced effect in patients at high risk for PPCs, OR
0.80 [0.53 to 1.13] (CrI)
  • Bayesian subgroup analysis

Severe PPCs only or different heterogeneity prior (sensitivity analysis)

Consistent results

Original publication

High Positive End-expiratory Pressure (PEEP) with Recruitment Maneuvers versus Low PEEP during General Anesthesia for Surgery: A Bayesian Individual Patient Data Meta-analysis of Three Randomized Clinical Trials. Anesthesiology. Published 22 July 2024. doi:10.1097/aln.0000000000005170

Composed by AI from the published abstract and checked against it. How Briefs are made →

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