P019 Surface craniofacial phenotype and prediction models for obstructive sleep apnoea: a 3-D evaluation

Aims Obstructive sleep apnoea (OSA) is considered as a major healthcare problem, remaining relatively underdiagnosed and associated with significant comorbidity (Rejon-Parrilla et al., 2014). The present study aims to explore: the existence of a craniofacial phenotype in adults with OSA, the ability to predict the condition from clinical and surface craniofacial structures and the presence of a surface facial marker for OSA. Methods A case-control study was conducted with 118 middle-aged Caucasian males (56 controls; 62 OSA). Each undergoing a clinical examination including body mass index, Mallampati airway classification, sleep apnoea clinical score, Epworth sleepiness scale and 3-D stereophotography for surface craniofacial analysis (figure1). Results Surface craniofacial risk factors (phenotype) were identified for OSA Caucasian males, with the predominant characteristics being: an enlarged neck circumference (p Conclusion This case-control study demonstrated the existence of a surface craniofacial phenotypic pattern, identified a predictive model and marker for OSA in Caucasian males, using 3D-surface imaging analysis and clinical tools.