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Predictive value of craniofacial and anthropometric measures in obstructive sleep apnea (OSA)
Journal article   Peer reviewed

Predictive value of craniofacial and anthropometric measures in obstructive sleep apnea (OSA)

Krishnan Jyothi Remya, Krishnakumar Mathangi, Damal Chandrasekhar Mathangi, Yerlagadda Sriteja, Ramamoorthy Srihari, Soundararajan Govindaraju, David R. Hillman and Peter R. Eastwood
Cranio, Vol.35(3), pp.162-167
2017
PMID: 27425257
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Abstract

Berlins questionnaire Mallampati score Obstructive sleep apnea anthropometry craniofacial logistic regression analysis thyromental angle type IV polysomnography
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.

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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
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