title: Diagnostic accuracy of a questionnaire and simple home monitoring device in detecting obstructive sleep apnoea in a Chinese population at high cardiovascular risk.
abstract: OBJECTIVE
  OSA is a common condition associated with cardiovascular (CV) morbidity. It remains underdiagnosed globally in part due to the limited availability and technical requirements of polysomnography (PSG). The aim of this study was to test the accuracy of two simple methods for diagnosing OSA.
  
  
  METHODS
  Consecutive subjects identified from a community register with high CV risk were invited to complete the Berlin Sleep Questionnaire and undergo simultaneous, home, overnight PSG and ApneaLink device oximetry and nasal pressure recordings. The relative accuracies of the Berlin Questionnaire, oximetry and nasal pressure results in diagnosing PSG-defined moderate-severe OSA were assessed.
  
  
  RESULTS
  Of 257 eligible high CV risk subjects enrolled, 190 completed sleep studies and 143 subjects' studies were of sufficient quality to include in final analyses. Moderate-severe OSA was confirmed in 43% of subjects. The Berlin Questionnaire had low overall diagnostic accuracy in this population. However, ApneaLink recordings of oximetry and nasal pressure areas had high diagnostic utility with areas under the receiver operating characteristic curves of 0.933 and 0.933, respectively. At optimal diagnostic thresholds, oximetry and nasal pressure measurements had similar sensitivity (84% vs 86%) and specificity (84% vs 85%). Technical failure was lower for oximetry than nasal pressure (5.8% vs 18.9% of tests).
  
  
  CONCLUSIONS
  In patients with high CV risk overnight single-channel oximetry and nasal pressure measurements may provide high diagnostic accuracy and offer an accessible alternative to full PSG.
authors.affiliation: The George Institute for International Health, Royal Prince Alfred Hospital and University of Sydney, Sydney, New South Wales, Australia.
authors.forename: Dashiell
authors.initials: D
authors.lastname: Gantner
authors.forename: Ji-Yong
authors.initials: JY
authors.lastname: Ge
authors.forename: Li-Hua
authors.initials: LH
authors.lastname: Li
authors.forename: Nick
authors.initials: N
authors.lastname: Antic
authors.forename: Sam
authors.initials: S
authors.lastname: Windler
authors.forename: Keith
authors.initials: K
authors.lastname: Wong
authors.forename: Emma
authors.initials: E
authors.lastname: Heeley
authors.forename: Shao-Guang
authors.initials: SG
authors.lastname: Huang
authors.forename: Ping
authors.initials: P
authors.lastname: Cui
authors.forename: Craig
authors.initials: C
authors.lastname: Anderson
authors.forename: Ji-Guang
authors.initials: JG
authors.lastname: Wang
authors.forename: Doug
authors.initials: D
authors.lastname: McEvoy
mesh_terms: D000368:Aged; D044466:Asian People; D002318:Cardiovascular Diseases / Q000453:epidemiology*; D015897:Comorbidity; D005260:Female; D006801:Humans; D008297:Male; D008365:Manometry / Q000295:instrumentation*; D008875:Middle Aged; D010092:Oximetry / Q000295:instrumentation*; D017286:Polysomnography / Q000295:instrumentation*; D020181:Sleep Apnea, Obstructive / Q000175:diagnosis* / Q000453:epidemiology*; D012907:Smoking / Q000009:adverse effects; D011795:Surveys and Questionnaires