Is the OSA-18 predictive of obstructive sleep apnea: comparison to polysomnography

Laryngoscope. 2015 Jun;125(6):1491-5. doi: 10.1002/lary.25098. Epub 2014 Dec 27.

Abstract

Objectives/hypothesis: To examine the ability of the OSA-18 to predict Obstructive Sleep Apnea (OSA) in a racially diverse population when compared to overnight polysomnography (PSG).

Study design: Cross-sectional retrospective.

Methods: Children 2 to 12 years of age diagnosed with OSA who were treated at a tertiary care institution between 2008 and 2013 and had complete PSG and OSA-18 data were included. We performed logistic regression with OSA as the dependent variable and the OSA-18 total symptom score (TSS), age, gender, race, asthma, and body mass index (BMI) as independent variables.

Results: Seventy-nine children (32 females) were included (mean age 5.2 ± 2.4 years). The positive predictive value (PPV) was greater than 90 for an obstructive apnea-hypopnea index (oAHI) ≥ 1. The PPV and specificity were higher for white than for nonwhite children; however, sensitivity and negative predictive value (NPV) of OSA-18 TSS were low for mild, moderate, and severe OSA regardless of race. Age, race, and BMI were not significantly associated with oAHI.

Conclusions: This study, conducted in a racially diverse cohort, examined the ability of the OSA-18 to predict OSA when compared to PSG-the gold standard-and found that sensitivity and NPV were extremely low for both white and nonwhite children. This suggests that the OSA-18 is not sufficiently sensitive to detect OSA nor sufficiently specific to determine the absence of OSA. The OSA-18 should be used as a quality-of-life indicator and is not a reliable substitute for PSG.

Level of evidence: 4.

Keywords: OSA-18; obstructive sleep apnea; polysomnography; quality of life.

Publication types

  • Comparative Study

MeSH terms

  • Child
  • Child, Preschool
  • Cross-Sectional Studies
  • Female
  • Health Status Indicators*
  • Humans
  • Logistic Models
  • Male
  • Polysomnography*
  • Quality of Life
  • ROC Curve
  • Sensitivity and Specificity