TY - JOUR
T1 - Predictive value of craniofacial and anthropometric measures in obstructive sleep apnea (OSA)
AU - Remya, Krishnan Jyothi
AU - Mathangi, Krishnakumar
AU - Mathangi, Damal Chandrasekhar
AU - Sriteja, Yerlagadda
AU - Srihari, Ramamoorthy
AU - Govindaraju, Soundararajan
AU - Hillman, David R.
AU - Eastwood, Peter R.
PY - 2017/5/4
Y1 - 2017/5/4
N2 - 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.
AB - 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.
KW - anthropometry
KW - Berlins questionnaire
KW - craniofacial
KW - logistic regression analysis
KW - Mallampati score
KW - Obstructive sleep apnea
KW - thyromental angle
KW - type IV polysomnography
UR - http://www.scopus.com/inward/record.url?scp=84978496412&partnerID=8YFLogxK
U2 - 10.1080/08869634.2016.1206701
DO - 10.1080/08869634.2016.1206701
M3 - Article
C2 - 27425257
AN - SCOPUS:84978496412
VL - 35
SP - 162
EP - 167
JO - Cranio - Journal of Craniomandibular Practice
JF - Cranio - Journal of Craniomandibular Practice
SN - 0886-9634
IS - 3
ER -