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Development of a pediatric obstructive sleep apnea triage algorithm.

D S Heath1, H El-Hakim2,3, Y Al-Rahji2,3

  • 1Department of Educational Psychology, University of Alberta, Edmonton, Alberta, Canada.

Journal of Otolaryngology - Head & Neck Surgery = Le Journal D'Oto-Rhino-Laryngologie Et De Chirurgie Cervico-Faciale
|July 16, 2021
PubMed
Summary
This summary is machine-generated.

Pediatric obstructive sleep apnea (OSA) diagnosis can be improved by using tonsil size and specific questionnaire answers to predict the need for tonsillectomy and/or adenoidectomy (AT). This helps streamline care for children with snoring.

Keywords:
AdenoidectomyObstructive sleep apneaOximetrySleep-related breathing disorderSnoringTonsillectomy

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Area of Science:

  • Pediatric Otolaryngology
  • Sleep Medicine
  • Pediatric Pulmonology

Background:

  • Obstructive sleep apnea (OSA) diagnosis and treatment in children are frequently delayed due to high prevalence and limited resources.
  • Delayed diagnosis leads to children being referred to multiple specialists, causing extended wait times.
  • Efficient triage is crucial for managing pediatric OSA referrals.

Purpose of the Study:

  • To identify predictors of tonsillectomy and/or adenoidectomy (AT) in children with suspected OSA.
  • To develop triage algorithms for prioritizing AT in pediatric OSA patients.
  • To improve the efficiency of specialist referrals for pediatric snoring.

Main Methods:

  • Utilized data from a pediatric OSA clinic, including parent-completed questionnaires (Pediatric Sleep Questionnaire, RLS, nasal rhinitis, GERD).
  • Assessed tonsil size using the Brodsky scale and overnight oximetry (McGill Oximetry Score).
  • Employed logistic regression to identify AT predictors and generated triage algorithms.

Main Results:

  • Tonsil size and four specific Pediatric Sleep Questionnaire items were significant univariate predictors of AT.
  • Triage algorithms based on tonsil size demonstrated strong predictive value for AT (OR=9.11).
  • Oximetry scores helped stratify individual risk for AT, particularly in children with larger tonsils.

Conclusions:

  • Tonsil size is the most significant predictor for AT in pediatric OSA.
  • Oximetry aids in stratifying individual AT risk.
  • Recommend including graded tonsil size in referrals; children with 2+ tonsil size should see otolaryngology, others a sleep specialist.