title: Effects of positive end-expiratory pressure increments can be predicted by computer simulation based on a physiological profile in acute respiratory failure.
abstract: OBJECTIVE
  We examined whether computer simulation predicts airway pressures after increments of positive end-expiratory pressure (PEEP) in acute respiratory failure.
  
  
  METHODS
  Prospective, nonrandomized comparative trial in an intensive care unit of a university hospital.
  
  
  METHODS
  Twelve consecutive acute respiratory failure patients. INTERVENTIONS. PEEP increments from 0 to 2.5, 5, 7.5, 10, and 15 cm H(2)O.
  
  
  RESULTS
  A physiological profile comprising values for compliance, respiratory resistance and CO(2 )elimination as a function of tidal volume was established from a recording of ordinary breaths prior to increments of PEEP. Airway pressures and CO(2 )elimination were measured 30 s after resetting, pressures also after 10 min. Values from simulation of the resetting, based on the profile, were compared to measured values. The profiles indicated vast differences in physiology between the 12 subjects. Errors of simulation of airway pressures were nonsignificant or trivial up to PEEP levels of 10 cm H(2)O (95% of errors <3 cm H(2)O). After 10 min plateau pressure averaged 1.5 cm H(2)O lower than 30 s after resetting. At increments to PEEP 7.5, 10, and 15, CO(2 )elimination fell by on average 4%, 8%, and 11%, respectively. As tidal volume and respiratory rate was unchanged this was not predicted.
  
  
  CONCLUSIONS
  On the basis of a simple lung model, simulation predicted effects of moderate increments of PEEP on airway pressures in patients with complex physiology.
authors.affiliation: Department of Clinical Physiology, University Hospital, 22185, Lund, Sweden. Leif.Uttman@klinfys.lu.se
authors.forename: L
authors.initials: L
authors.lastname: Uttman
authors.forename: L
authors.initials: L
authors.lastname: Beydon
authors.forename: B
authors.initials: B
authors.lastname: Jonson
mesh_terms: D000208:Acute Disease; D000328:Adult; D000368:Aged; D000403:Airway Resistance; D001944:Breath Tests; D002245:Carbon Dioxide / Q000032:analysis; D003198:Computer Simulation; D006801:Humans; D016014:Linear Models; D008170:Lung Compliance; D008875:Middle Aged; D008954:Models, Biological; D011175:Positive-Pressure Respiration / Q000379:methods*; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012126:Respiratory Dead Space; D012131:Respiratory Insufficiency / Q000209:etiology / Q000378:metabolism / Q000503:physiopathology / Q000628:therapy*; D013990:Tidal Volume; D013997:Time Factors; D016896:Treatment Outcome
chemical_list: D002245:Carbon Dioxide