title: Predicting effective continuous positive airway pressure.
abstract: OBJECTIVE
  The purpose of this study was to compare the pressure required to abolish apneas as predicted from a previously derived algorithm (Ppred) with the true effective pressure (Peff) determined during a continuous positive airway pressure (CPAP) titration study.
  
  
  METHODS
  Sleep clinic of a university hospital.
  
  
  METHODS
  We prospectively studied 329 patients with sleep apnea undergoing CPAP titration. The following protocol was employed. Titration began at a pressure (Ppred) calculated from a previously derived equation based on body mass index, neck circumference, and apnea/hypopnea index (AHI). If AHI at Ppred was > 10, the pressure was increased in steps of 1 cm H(2)O until AHI became < 10. If, on the other hand, AHI at Ppred was < 10, the pressure was reduced in increments of 1 cm H(2)O until AHI became > 10. The lowest pressure that abolishes sleep apnea is defined as the Peff. Paired t tests, linear correlation, and distribution of (Ppred - Peff) were used to compare Peff and Ppred.
  
  
  RESULTS
  Successful titration was accomplished in 276 patients (84%). Mean Ppred was similar to mean Peff (8.1 +/- 2.2 vs 8.1 +/- 2.6 cm H(2)O, respectively). There was a significant correlation between these two pressures (r = 0.73; p = 0.0001). Examination of the distribution of (Peff - Ppred) revealed that in 63% of patients, Ppred was within +/- 1 cm H(2)O of Peff; in 83% of patients, the two measures were within +/- 2 cm H(2)O; and in 95%, within +/- 3 cm H(2)O.
  
  
  CONCLUSIONS
  We conclude that pressure predicted from an algorithm based on simple anthropometric and sleep variables constitutes a good starting point for CPAP titration, allowing the optimum pressure to be achieved with only a few incremental changes.
authors.affiliation: Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.
authors.forename: Z
authors.initials: Z
authors.lastname: Oliver
authors.forename: V
authors.initials: V
authors.lastname: Hoffstein
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D015992:Body Mass Index; D005260:Female; D006785:Hospitals, University; D006801:Humans; D008297:Male; D008875:Middle Aged; D011175:Positive-Pressure Respiration / Q000592:standards; D011446:Prospective Studies; D012891:Sleep Apnea Syndromes / Q000628:therapy*; D016896:Treatment Outcome