Predictive ability of the International Classification of Sleep Disorders-3 in identifying risk of obstructive sleep apnea among recently unemployed adults

Research output: Contribution to journalArticlepeer-review

Abstract

Background: The International Classification of Sleep Disorders (ICSD)-3 was developed to aid in the identification of these disorders. The core criterion A (ICSD-3A) to identify obstructive sleep apnea (OSA) requires the presentence of specific signs and symptoms. This study explores the predictive ability of the ICSD-3A for OSA as compared with objective measures of respiratory event index (REI). Participants: A total of 291 participants who completed a home sleep apnea test (HSAT) during the screening evaluation of the Assessing Daily Activity Patterns through occupational Transitions (ADAPT) study were included. Methods: Participants were classified as having mild OSA (REI ≥ 5 and < 15), moderate (≥ 15 to < 30), or severe OSA (> 30). Predictive parameters identifying participants as having OSA by the ICSD-3A criteria were assessed using REI classifications as the reference standard and further compared with a subsample using the STOP-Bang questionnaire. Results: The ICSD-3A had a sensitivity of 19.2% for identifying participants as having moderate to severe OSA and specificity of 84.4%. The ICSD-3A had a receiver operating characteristics (ROC) = 0.53. On the subsample of participants, the STOP-Bang questionnaire’s ROC is 0.61. Results were similar when examining the classification of participants with mild compared with no OSA. Conclusion: In this population, the ability of the ICSD-3A in detecting moderate to severe OSA as well as mild OSA was low. The ROC for the ICSD-3 did not differ significantly from the STOP-Bang questionnaire’s ROC in this research population.

Original languageEnglish (US)
JournalSleep and Breathing
DOIs
StateAccepted/In press - 2020

Keywords

  • International Classification of Sleep Disorders
  • Job loss
  • Obstructive sleep apnea
  • Sleep

ASJC Scopus subject areas

  • Otorhinolaryngology
  • Clinical Neurology

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