Journal article
Predictive value of craniofacial and anthropometric measures in obstructive sleep apnea (OSA)
Cranio, Vol.35(3), pp.162-167
2017
PMID: 27425257
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.
Methods and findings: 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.
Conclusion: 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.
Details
- Title
- Predictive value of craniofacial and anthropometric measures in obstructive sleep apnea (OSA)
- Authors/Creators
- Krishnan Jyothi Remya - Chettinad Health CityKrishnakumar Mathangi - Chettinad Health CityDamal Chandrasekhar Mathangi - Chettinad Health CityYerlagadda Sriteja - Chettinad Health CityRamamoorthy Srihari - Chettinad Health CitySoundararajan Govindaraju - Chettinad Health CityDavid R. Hillman - West Australian Sleep Disorders Research InstitutePeter R. Eastwood - West Australian Sleep Disorders Research Institute
- Publication Details
- Cranio, Vol.35(3), pp.162-167
- Publisher
- Taylor & Francis
- Number of pages
- 6
- Grant note
- ResMed India Pvt Limited
- Identifiers
- 991005592759707891
- Copyright
- © 2016 Informa UK Limited,
- Murdoch Affiliation
- Vice Chancellery
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.137 Sleep Science & Circadian Systems
- 1.137.382 Obstructive Sleep Apnea
- Web Of Science research areas
- Dentistry, Oral Surgery & Medicine
- ESI research areas
- Clinical Medicine