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Predictive equation for optimal continuous positive airway pressure in children with obstructive sleep apnoea

Joelle Chong1, Ram Bajpai2,3, Oon Hoe Teoh1,4,5

  • 1Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.

ERJ Open Research
|June 16, 2020
PubMed

Insights

A new equation can predict the optimal continuous positive airway pressure (CPAP) for children with obstructive sleep apnoea (OSA), correlating it with age, BMI, and specific sleep study results.

Area of Science:

  • Pediatric Pulmonology
  • Sleep Medicine
  • Respiratory Physiology

Background:

  • Obstructive sleep apnoea (OSA) affects children, with some requiring continuous positive airway pressure (CPAP) therapy.
  • Determining the optimal CPAP setting is crucial for effective treatment in pediatric OSA patients.

Purpose of the Study:

  • To investigate the correlation between optimal CPAP and Body Mass Index (BMI) in children with OSA.
  • To analyze the relationship between polysomnographic variables and optimal CPAP levels.
  • To develop a predictive equation for optimal CPAP in pediatric OSA.

Main Methods:

  • Retrospective analysis of 198 children with OSA who underwent CPAP titration.
  • Exclusion of patients with craniofacial abnormalities (except Down syndrome) and neuromuscular diseases.
  • Utilized multivariable linear regression to develop a predictive equation for optimal CPAP.

Main Results:

  • Optimal CPAP showed significant positive correlations with age, obstructive apnoea-hypopnoea index, oxygen desaturation index, and BMI z-score.
  • A significant negative correlation was found with pulse oximetry nadir.
  • A predictive equation was derived: Optimal CPAP = 6.486 + 0.273*age - 0.664*adenotonsillectomy + 2.120*Down syndrome + 0.280*BMI z-score.

Conclusions:

  • The developed equation offers a potential tool for predicting optimal CPAP in children with OSA.
  • Further validation studies are necessary to confirm the equation's applicability across diverse pediatric populations.
Abstract

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