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Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
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Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea

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Identification of different clinical faces of obstructive sleep apnea in children

Yunxiao Wu1, Guoshuang Feng2, Zhifei Xu3

  • 1Beijing Key Laboratory of Pediatric Otolaryngology, Head & Neck Surgery, Beijing Pediatric Research Institute, China.

International Journal of Pediatric Otorhinolaryngology
|September 15, 2019
PubMed

Insights

Children with obstructive sleep apnea syndrome exhibit diverse clinical presentations. Identifying these distinct profiles, like snoring/sleepiness or hyperactivity, aids personalized diagnosis and treatment.

Area of Science:

  • Pediatric Sleep Medicine
  • Respiratory Medicine
  • Clinical Phenotyping

Background:

  • Obstructive sleep apnea syndrome (OSAS) in children presents with varied symptoms.
  • The apnea-hypopnea index alone is insufficient for predicting clinical phenotypes.

Purpose of the Study:

  • To identify and classify the heterogeneity of clinical presentations in pediatric obstructive sleep apnea syndrome.
  • To develop a predictive model for distinct OSAS clinical profiles in children.

Main Methods:

  • Utilized polysomnography data and a sleep disorder questionnaire for children aged 3-14.
  • Employed cluster analysis to categorize patients based on symptoms and comorbidities.
  • Developed a prediction model using statistically significant variables.

Main Results:

  • Identified three distinct clinical clusters: "nocturnal snoring and daytime sleepiness," "hyperactivity," and "minimally symptomatic."
  • The prediction model achieved 86% overall accuracy.
  • Achieved approximately 90% sensitivity and specificity for predicting clusters 2 and 3.

Conclusions:

  • Pediatric obstructive sleep apnea syndrome exhibits significant clinical heterogeneity.
  • Recognizing distinct clinical profiles can guide more personalized diagnostic and therapeutic approaches.
  • This classification aids in tailoring interventions for better patient outcomes.
Abstract

Keywords:
ChildrenCluster analysisOSASubtypes

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