Development of a Sleep Apnea-Specific Health State Utility Algorithm

JAMA Otolaryngol Head Neck Surg. 2020 Mar 1;146(3):270-277. doi: 10.1001/jamaoto.2019.4469.

Abstract

Importance: With the increasing emphasis on economic evaluations, there is a need for additional methods of measuring patient utility in the obstructive sleep apnea population.

Objective: To develop and validate a utility scoring algorithm for a sleep apnea-specific quality-of-life instrument.

Design, setting, and participants: Development and validation were conducted at 2 tertiary referral sleep centers and associated sleep clinics and included patients with newly diagnosed obstructive sleep apnea from a randomized clinical trial and an associated observational cohort study. Baseline participants were randomly divided into a model development group (60%) and a cross-validation group (40%).

Main outcomes and measures: Utility scoring of the Symptoms of Nocturnal Obstruction and Related Events (SNORE-25) was mapped from the SF-6D utility index through multiple linear regression in the development sample using the Akaike information criterion to determine the best model.

Results: A total of 500 participants (development, n = 300; validation, n = 200) were enrolled; the analyzed sample of 500 participants included 295 men (59%), and the mean (SD) age was 48.6 (12.8) years, with a range of 18 to 90 years. The mean (SD) SF-6D utility among participants with untreated sleep apnea was 0.61 (0.08; range, 0.40-0.85) with similar utility across sleep apnea severity groups. The best-fit model (the SNORE Utility Index) was the natural log conversion of the instrument subscales (r2 = 0.32 in the development sample). The SNORE Utility Index retained this association within the validation sample (r2 = 0.33).

Conclusions and relevance: The SNORE Utility Index provides a validated, disease-specific, preference-weighted utility instrument that can be used in future studies of patients with obstructive sleep apnea.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Algorithms*
  • Continuous Positive Airway Pressure
  • Female
  • Humans
  • Male
  • Middle Aged
  • Polysomnography
  • Quality of Life*
  • Reproducibility of Results
  • Sleep Apnea, Obstructive / complications*
  • Sleep Apnea, Obstructive / psychology*
  • Sleep Apnea, Obstructive / therapy
  • Symptom Assessment
  • Young Adult