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Is the Pediatric Sleep Questionnaire sensitive for sleep-disordered breathing in children with complex chronic

Mine Kalyoncu1, Nurtuğ Namlı2, Cansu Yilmaz Yegit3

  • 1Division of Pediatric Pulmonology, Marmara University Hospital, Fevzi Cakmak Mah. Mimar Sinan Cad. No:41 Pendik, Istanbul, Turkey. mineeyuksell@gmail.com.

Sleep & Breathing = Schlaf & Atmung
|September 21, 2023
PubMed

Insights

The Pediatric Sleep Questionnaire (PSQ) has limited accuracy in diagnosing obstructive sleep apnea (OSA) in children with chronic illnesses. Polysomnography (PSG) remains the most reliable diagnostic method for sleep-disordered breathing (SDB).

Area of Science:

  • Pediatric Pulmonology
  • Sleep Medicine
  • Clinical Diagnostics

Background:

  • Sleep-disordered breathing (SDB) encompasses breathing irregularities during sleep.
  • Obstructive sleep apnea (OSA) is a common form of SDB in children.
  • Accurate diagnosis of OSA is crucial for managing chronic childhood illnesses.

Purpose of the Study:

  • To evaluate the association between polysomnography (PSG) and the Pediatric Sleep Questionnaire (PSQ) in children.
  • To determine the sensitivity and specificity of the PSQ for diagnosing OSA in pediatric patients with chronic conditions.

Main Methods:

  • Retrospective analysis of demographic, clinical, PSQ, and PSG data from 745 pediatric patients (2012-2021).
  • Patients with chronic lung disease and cerebral palsy were included.
  • Comparison of PSQ results with PSG-confirmed OSA diagnosis.

Main Results:

  • The PSQ demonstrated a sensitivity of 71.8% and specificity of 40.4% for OSA in children aged 2-18 years.
  • In the cerebral palsy subgroup, PSQ sensitivity for OSA reached 88.8%.
  • Nearly half (48.5%) of the study cohort had normal PSG findings.

Conclusions:

  • The PSQ exhibits suboptimal sensitivity and specificity for identifying OSA in children with chronic conditions.
  • Polysomnography (PSG) is confirmed as the gold standard for diagnosing OSA in this population.
  • Further research may explore improved screening tools for pediatric OSA in complex medical histories.
Abstract

Keywords:
ChildrenChronic diseasePediatric Sleep QuestionnairePolysomnography

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