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Related Experiment Videos

Identifying sleep apnea from self-reports.

L E Kapuniai1, D J Andrew, D H Crowell

  • 1Sleep Disorders Center of the Pacific, Straub Clinic and Hospital, Honolulu, HI 96813.

Sleep
|October 1, 1988
PubMed
Summary
This summary is machine-generated.

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A new apnea score (AS) effectively screens for sleep apnea using simple questions about stopping breathing and loud snoring. This tool can help identify individuals who may need further sleep apnea testing.

Area of Science:

  • Sleep Medicine
  • Respiratory Medicine
  • Diagnostic Tools

Background:

  • Sleep apnea is a common disorder characterized by repeated breathing cessation during sleep.
  • Accurate screening tools are needed to identify individuals at risk for sleep apnea.
  • Current screening methods may not be universally accessible or efficient.

Purpose of the Study:

  • To develop and validate a simple screening tool for sleep apnea based on self-reported questionnaire responses.
  • To assess the accuracy of the developed apnea score (AS) in identifying sleep apnea.

Main Methods:

  • Developed an apnea score (AS) using stepwise multivariate discriminant analysis on questionnaire responses from 76 patients and volunteers.
  • Compared AS to polysomnographic apnea indexes (AI) and apnea-hypopnea indexes (AHI).

Related Experiment Videos

  • Validated and refined the AS using a separate patient group, adjusting criteria for optimal predictive accuracy.

    • Main Results:

    • Initial AS using "stops breathing," "loud snoring," and "adenoidectomy history" showed discriminatory power.
    • A revised AS focusing on "stops breathing" and "loud snoring" with an AI criterion of 10/hour achieved 100% accuracy for moderate-severe cases (AI/AHI > 40).
    • The revised AS demonstrated 70-76% accuracy for all sleep apnea cases (AI/AHI > 5) and 88% predictive accuracy for AI > 10.

    Conclusions:

    • A brief questionnaire-based apnea score using "stops breathing" and "loud snoring" is a promising screening tool for sleep apnea.
    • The AS can effectively identify individuals with moderate-severe sleep apnea and offers good predictive accuracy for other cases.
    • Incorporating these two questions into risk appraisal instruments can improve sleep apnea screening.