title: Respiratory event detection by a positive airway pressure device.
abstract: OBJECTIVE
  Compare automatic event detection (AED) of respiratory events using a positive airway pressure (PAP) device with manual scoring of polysomnography (PSG) during PAP treatment of obstructive sleep apnea (OSA).
  
  
  METHODS
  Prospective PSGs of patients using a PAP device.
  
  
  METHODS
  Six academic and private sleep disorders centers.
  
  
  METHODS
  A total of 148 PSGs from 115 participants with OSA (apnea-hypopnea index [AHI] ≥ 15 events/hr) were analyzed.
  
  
  METHODS
  A signal generated by the PAP device identifying the AED of respiratory events based on airflow was recorded during PSG.
  
  
  RESULTS
  The PSGs were manually scored without visualization of the AED signal and scoring of a hypopnea required a ≥ 4% oxygen desaturation. The apnea index (AI), hypopnea index (HI), and AHI by manual score and PAP AED were compared. A customized computer program compared individual events by manual scoring and AED to determine the true positive, false positive, false negative, or true negative events and found a sensitivity of 0.58 and a specificity of 0.98. The AHI, AI, and HI by the two methods were highly correlated. Bland-Altman analysis showed better agreement for AI than HI. Using a manually scored AHI of ≥ 10 events/hr to denote inadequate treatment, an AED AHI ≥ 10 events/hr had a sensitivity of 0.58 and a specificity of 0.94.
  
  
  CONCLUSIONS
  An AHI < 10 events/hr by PAP AED is usually associated with good treatment efficacy. Differences between manually scored and AED events were primarily due to different criteria for hypopnea detection.
authors.affiliation: Department of Medicine, University of Florida, Gainesville, FL 32610, USA. sleep_doc@msn.com
authors.forename: Richard B
authors.initials: RB
authors.lastname: Berry
authors.forename: Clete A
authors.initials: CA
authors.lastname: Kushida
authors.forename: Meir H
authors.initials: MH
authors.lastname: Kryger
authors.forename: Haideliza
authors.initials: H
authors.lastname: Soto-Calderon
authors.forename: Bethany
authors.initials: B
authors.lastname: Staley
authors.forename: Samuel T
authors.initials: ST
authors.lastname: Kuna
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D004311:Double-Blind Method; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D017286:Polysomnography; D011175:Positive-Pressure Respiration / Q000295:instrumentation*; D011237:Predictive Value of Tests; D012372:ROC Curve; D020181:Sleep Apnea, Obstructive / Q000150:complications / Q000175:diagnosis* / Q000628:therapy*; D012913:Snoring / Q000175:diagnosis* / Q000209:etiology / Q000628:therapy; D055815:Young Adult