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Clinical Predictors of Pediatric Obstructive Sleep Apnea Syndrome

Chi-Chih Lai1, Pei-Wen Lin2,3, Hsin-Ching Lin1,2

  • 11 Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung Chang Gung Children Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.

The Annals of Otology, Rhinology, and Laryngology
|June 22, 2018
PubMed

Insights

A new model using snoring, nasal obstruction, and BMI z-score can predict pediatric obstructive sleep apnea/hypopnea syndrome (OSAS). This simple tool aids physicians in identifying children needing further polysomnography (PSG) diagnostics and treatment.

Area of Science:

  • Pediatric Pulmonology
  • Sleep Medicine
  • Clinical Diagnostics

Background:

  • Pediatric obstructive sleep apnea/hypopnea syndrome (OSAS) diagnosis relies on polysomnography (PSG).
  • Predictive clinical models are needed for early screening and efficient diagnosis.

Purpose of the Study:

  • To develop a predictive model for pediatric OSAS using clinical and physical factors.
  • To identify reliable, noninvasive predictors of the apnea/hypopnea index (AHI).

Main Methods:

  • Evaluated anthropometric measurements (BMI z-score), tonsil size, and Friedman tongue position.
  • Assessed clinical symptoms: snoring visual analog scale (VAS), nasal obstruction, and mouth breathing.
  • Utilized stepwise multiple linear regression for model development.

Main Results:

  • Snoring VAS, nasal obstruction, mouth breathing, and BMI z-score correlated significantly with AHI/h.
  • A predictive model was established: Pediatric AHI = 0.108 + 0.103 snoring VAS + 0.894 nasal obstruction + 0.207 BMI z-score.
  • The model demonstrated statistical significance (F = 4.06, P = .01).

Conclusions:

  • A noninvasive screening tool for pediatric OSAS was developed.
  • The model effectively predicts AHI using simple clinical measures.
  • This tool can guide physicians toward necessary PSG diagnostics and treatment.
Abstract

Keywords:
clinical predictorspediatric obstructive sleep apnea syndromepolysomnography

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