title: Predictive value of craniofacial and anthropometric measures in obstructive sleep apnea (OSA).
abstract: BACKGROUND
  Most individuals with OSA remain undiagnosed, mainly due to limited access to effective screening tools and diagnostic facilities. Therefore, the objective of this study was to identify craniofacial and anthropometric measurements that predict OSA in an Indian population.
  
  
  RESULTS
  Male subjects (n = 76) between 25 and 50 years of age were recruited for the study from the general population. The study measures consisted of home-based type IV polysomnography and a total of 40 anthropometric and craniofacial measurements. Key measures were identified, and a model was developed with these variables, which predicted the presence of OSA with a sensitivity, specificity and overall accuracy of 93.1, 20.0 and 74.4%, respectively.
  
  
  CONCLUSIONS
  This preliminary study shows the utility of craniofacial and anthropometric variables in the identification of individuals at risk of OSA. These findings need to be further validated against the results of overnight polysomnography in a large independent population.
authors.affiliation: a Department of Physiology , Chettinad Hospital & Research Institute , Kelambakkam , India.
authors.forename: Krishnan Jyothi
authors.initials: KJ
authors.lastname: Remya
authors.affiliation: a Department of Physiology , Chettinad Hospital & Research Institute , Kelambakkam , India.
authors.forename: Krishnakumar
authors.initials: K
authors.lastname: Mathangi
authors.affiliation: a Department of Physiology , Chettinad Hospital & Research Institute , Kelambakkam , India.
authors.forename: Damal Chandrasekhar
authors.initials: DC
authors.lastname: Mathangi
authors.affiliation: a Department of Physiology , Chettinad Hospital & Research Institute , Kelambakkam , India.
authors.forename: Yerlagadda
authors.initials: Y
authors.lastname: Sriteja
authors.affiliation: a Department of Physiology , Chettinad Hospital & Research Institute , Kelambakkam , India.
authors.forename: Ramamoorthy
authors.initials: R
authors.lastname: Srihari
authors.affiliation: b Department of Allied Health Sciences , Chettinad Hospital & Research Institute , Kelambakkam , India.
authors.forename: Soundararajan
authors.initials: S
authors.lastname: Govindaraju
authors.affiliation: c West Australian Sleep Disorders Research Institute , University of Western Australia , Perth , Australia.
authors.forename: David R
authors.initials: DR
authors.lastname: Hillman
authors.affiliation: c West Australian Sleep Disorders Research Institute , University of Western Australia , Perth , Australia.
authors.forename: Peter R
authors.initials: PR
authors.lastname: Eastwood
mesh_terms: D000328:Adult; D000886:Anthropometry; D002508:Cephalometry; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D017286:Polysomnography; D012680:Sensitivity and Specificity; D020181:Sleep Apnea, Obstructive / Q000175:diagnosis* / Q000503:physiopathology*; D011795:Surveys and Questionnaires
keywords: Berlins questionnaire; Mallampati score; Obstructive sleep apnea; anthropometry; craniofacial; logistic regression analysis; thyromental angle; type IV polysomnography