Clinical Parameters Predicting Obstructive Sleep Apnoea Syndrome and Its Severity in Children Referred to a Sleep

Zaya Aye1, Win Lai May2, Saw Win2

  • 1Parami General Hospital Sleep Laboratory, Parami General Hospital, Yangon, Myanmar.

Insights

Pediatric obstructive sleep apnea syndrome (OSAS) is common, affecting 82.2% of children studied. Male sex, obesity, and large tonsils predict OSAS and its severity, with obesity correlating with severity in all ages.

Area of Science:

  • Pediatric Sleep Medicine
  • Respiratory Medicine
  • Clinical Pediatrics

Background:

  • Pediatric obstructive sleep apnea syndrome (OSAS) is frequently underdiagnosed due to subtle symptoms.
  • Early identification and understanding of OSAS predictors are crucial for timely intervention.

Purpose of the Study:

  • To determine the prevalence of OSAS in children undergoing polysomnography.
  • To identify clinical predictors associated with OSAS occurrence and severity.

Main Methods:

  • Retrospective review of polysomnography (PSG) records for children aged 2-18 years.
  • Exclusion criteria included incomplete PSG data, prior PSG, or adenotonsillectomy history.
  • Multivariable logistic regression analysis was used to identify independent predictors.

Main Results:

  • OSAS prevalence was high at 82.2% (289/349 children).
  • Male sex, overweight/obesity, and tonsil grade 4 were associated with OSAS.
  • Severe OSAS was linked to male sex, obesity, lower SpO2, witnessed apneas, and daytime sleepiness.
  • Obesity correlated with OSAS severity in both younger and older children.
  • Tonsil grade correlated with OSAS severity only in younger children.

Conclusions:

  • Male sex, overweight/obesity, and tonsil grade 4 are significant predictors of pediatric OSAS and its severity.
  • Lower SpO2, witnessed apneas, and daytime sleepiness predict severe OSAS.
  • Clinical factors like obesity and tonsil size are important in assessing OSAS risk and severity in children.
Abstract

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