Predictive equation for optimal Continuous Positive Airway Pressure (CPAP) in children with Obstructive Sleep Apnoea (OSA)

Introduction: A subgroup of children with OSA requires treatment with CPAP. Mathematical equations to predict optimal CPAP have been developed for adults but not children. Aim: To determine the correlation between optimal CPAP, clinical and polysomnography (PSG) variables in children with OSA; and to develop a predictive equation for optimal CPAP. Methods: This was a retrospective study of children with OSA who underwent CPAP titration studies. Patients with craniofacial abnormalities (except Down syndrome [DS]) and neuromuscular diseases were excluded. PSGs were done using Sandman Elite™ sleep diagnostic system. Correlations between optimal CPAP, clinical and PSG variables were analysed. A multivariable linear regression model for optimal CPAP was developed. Results: 198 children (mean±SD age=13.1±3.6 years) were studied. Optimal CPAP had a significant positive correlation with age (rho=0.216, p=0.002), Obstructive Apnoea Hypopnoea Index (OAHI) (rho=0.421, p Conclusions: The predictive equation developed may help determine optimal CPAP in children with OSA. Further studies are required for validation and to determine its applicability in different populations.