Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Using self-reported questionnaire data to prioritize OSA patients for polysomnography

Z Pouliot1, M Peters, H Neufeld

  • 1Sleep Disorders Center, St. Boniface General Hospital, University of Manitoba, Winnipeg, Canada.

Sleep
|March 1, 1997
PubMed
Summary

Simple clinical data, including the Epworth sleepiness scale (ESS) and body mass index (BMI), can help identify patients with low apnea index (AI) scores for obstructive sleep apnea (OSA). This aids in prioritizing care for those with less severe obstructive sleep apnea.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Co-designing roadmaps for promoting culturally relevant food in long-term care homes for the African, Caribbean and Black populations in Canada: a multi-method, participatory action research study protocol.

BMC nutrition·2026
Same author

Myocardial Infarction in a Young Woman With Systemic Lupus Erythematosus Talma.

Angiology·2016
Same author

Absorption of hydrogen by aluminium attacked in caustic soda solution.

Nature·2010
Same author

Isospin violation in epsilon'.

Physical review letters·2003
Same author

Sleep complaints and restless legs syndrome in adult type 2 diabetics.

Sleep medicine·2003
Same author

Cardiovascular medication use in patients with undiagnosed obstructive sleep apnoea.

Thorax·2002

Area of Science:

  • Sleep Medicine
  • Clinical Diagnostics
  • Respiratory Medicine

Background:

  • Obstructive sleep apnea (OSA) diagnosis often involves long waiting lists for polysomnography (PSG).
  • Efficient patient prioritization is crucial in busy sleep laboratories.

Purpose of the Study:

  • To evaluate the utility of simple clinical data for identifying patients with a low apnea index (AI < 20).
  • To develop a method for prioritizing patients with suspected obstructive sleep apnea (OSA) who may require less urgent testing.

Main Methods:

  • Collected data from 354 patients referred for OSA, including Epworth sleepiness scale (ESS), BMI, age, and observed apnea history.
  • Utilized receiver operating characteristic (ROC) curve analysis to assess the predictive value of clinical variables for low AI.

Related Experiment Videos

Main Results:

  • Both BMI (AUC=0.7258) and ESS (AUC=0.5581) significantly predicted low AI (AI < 20).
  • Combining ESS (≤12) and BMI (≤28) identified a small group (9.3%) with high accuracy (only 6% false negatives).
  • Adding observed apnea history further refined the selection, identifying a group with no false negatives.

Conclusions:

  • Simple clinical data, particularly BMI and ESS, can effectively help triage patients with suspected OSA.
  • These variables can assist in prioritizing patients for polysomnography (PSG), improving resource allocation in high-volume labs.
  • A combination of clinical factors offers a practical approach to identifying patients with less severe obstructive sleep apnea, reducing unnecessary urgent testing.