Driving pressure and survival in the acute respiratory distress syndrome
Driving pressure trial design and results
Design
Multilevel mediation analysis of individual patient data from nine previous randomised trials
Treatment
Lower driving pressure (plateau pressure minus PEEP)
Control
Higher driving pressure
Population
3562 patients with ARDS pooled from nine randomised trials
Follow-up
As per contributing trials
Primary endpoint
Association between ventilator variables and survival
Result
Driving pressure was the ventilation variable most strongly associated with survival. A one-standard-deviation increment of about 7 cmH2O was associated with increased mortality (relative risk 1.41, 95% CI 1.31 to 1.51, p<0.001), and this held even in patients receiving protective plateau pressures and tidal volumes (relative risk 1.36, 95% CI 1.17 to 1.58, p<0.001).
Secondary endpoints
Relative contribution of tidal volume and PEEP
We found that ΔP was the ventilation variable that best stratified risk. Decreases in ΔP owing to changes in ventilator settings were strongly associated with increased survival.
The trial authors, in the published abstract
How it has aged
An analysis, not a trial — it can identify the variable that stratifies risk but cannot show that targeting it saves lives, and no adequately powered trial has yet done so. It nonetheless reframed lung-protective ventilation around the pressure the lung actually experiences rather than the volume delivered, and explains why the PEEP trials (ALVEOLI, LOVS, ExPress) were neutral: they changed PEEP without reliably changing driving pressure.
Publications
Driving pressure and survival in the acute respiratory distress syndrome
Amato MB, Meade MO, Slutsky AS, et al. Driving pressure and survival in the acute respiratory distress syndrome. N Engl J Med 2015 Feb 19;372(8):747-55.
Driving pressure most strongly associated with survival among ventilator variables
Association persisted within conventionally protective plateau pressures and tidal volumes
Retrospective pooled analysis, not a randomised comparison