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Refining screening questionnaires for prediction of sleep apnea severity in children

  • Amal IsaiahEmail author
  • Meryam Shikara
  • Kevin D. Pereira
  • Gautam Das
Sleep Breathing Physiology and Disorders • Original Article
  • 17 Downloads

Abstract

Purpose

Screening instruments are poor predictors of the severity of pediatric obstructive sleep apnea (OSA). We hypothesized that their performance could be improved by identifying and eliminating redundant features.

Methods

Baseline scores from three screening questionnaires for pediatric OSA were obtained from the Childhood Adenotonsillectomy Trial (CHAT). The questionnaires included the (i) modified Epworth sleepiness scale (ESS), (ii) the sleep-related breathing disorders subscale of the pediatric sleep questionnaire (PSQ), and the (iii) obstructive sleep apnea-18 (OSA-18) scale. Key features from each questionnaire were identified using variable selection methods. These selected features (SF) were then assessed for their ability to predict the severity of OSA, measured by the apnea-hypopnea index (AHI) and oxygen desaturation index (ODI). In addition, prediction performance of SF was also calculated for AHI > 5 and > 10 and ODI > 5 and > 10, respectively.

Results

Four hundred fifty-three children aged 5–10 years were included. The majority of the pairwise correlations among the items within the 3 screening questionnaires were statistically significant. The prediction of AHI and ODI by overall questionnaire scores was poor. Four-item SF, comprising apneic pauses, growth problems, mouth breathing, and obesity predicted AHI and ODI significantly better than each of the individual questionnaires. Furthermore, SF also predicted AHI > 5 and > 10, as well as ODI > 5 and > 10 significantly better than the original questionnaires.

Conclusions

Elimination of redundant items in screening questionnaires improves their prediction performance for OSA severity in children with high pre-test probability for the condition.

Keywords

Pediatric obstructive sleep apnea Screening questionnaires Prediction 

Notes

Author contribution

Substantial contributions to conception and design, acquisition of data, or analysis and

interpretation of data: Isaiah, Pereira, and Das

Drafting the article or revising it critically for important intellectual content: Shikara, Isaiah, Pereira, and Das

Final approval of the version to be published: Isaiah, Shikara, Pereira, and Das

Compliance with ethical standards

Conflict of interest

Amal Isaiah has received patent-related royalties from the University of Maryland, Baltimore for inventions related to sleep apnea imaging in adults. Kevin D. Pereira and Gautam Das declare no conflicts of interest.

Ethical approval

This article does not contain any studies with human participants performed by any of the authors. De-identified data from the CHAT study was obtained from the National Sleep Research Resource (www.sleepdata.org) following a data use agreement.

Supplementary material

11325_2019_1964_MOESM1_ESM.docx (20 kb)
ESM 1 (DOCX 19 kb)

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Otorhinolaryngology—Head and Neck SurgeryUniversity of Maryland School of MedicineBaltimoreUSA
  2. 2.Department of Computer Science and EngineeringUniversity of Texas at ArlingtonArlingtonUSA

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