Validation of NoSAS score for screening of sleep-disordered breathing in a multiethnic Asian population

Sleep Breath. 2017 Dec;21(4):1033-1038. doi: 10.1007/s11325-016-1455-4. Epub 2017 Jan 7.

Abstract

Purpose: The NoSAS score was developed to identify subjects at high risk of sleep-disordered breathing (SDB). We aimed to validate the NoSAS score in a multiethnic Asian cohort and compare its performance to the STOP-Bang and Berlin questionnaires.

Methods: A sample of 242 subjects selected from a population-based cohort in Singapore completed home-based sleep testing with an Embletta device (type 3 monitor). All subjects were given the STOP-Bang and Berlin questionnaires for self-administration prior to the sleep study. The NoSAS score was subsequently calculated based on available demographic data and Berlin questionnaire responses.

Results: The prevalence of severe SDB, defined as an apnea-hypopnea index cutoff of ≥30 events/h, was 10.7%. The number of subjects who were classified as high risk by the NoSAS score and STOP-Bang and Berlin questionnaires were 76 (31.4%), 89 (36.8%), and 79 (32.6%), respectively. The sensitivity, specificity, and negative and positive predictive values of the NoSAS score to predict severe SDB were 69.2, 73.1, 95.2, and 23.7%, respectively. The STOP-Bang and Berlin questionnaires performed similarly to the NoSAS score, with area under the curve (AUC) values of all three questionnaires clustered around 0.682-0.748. Compared to the STOP-Bang (94.8%) and Berlin questionnaires (96.3%), the NoSAS score (95.2%) had equally high negative predictive value in ruling out severe SDB.

Conclusions: The NoSAS score performed similarly to the STOP-Bang and Berlin questionnaires in a multiethnic Asian cohort. All three questionnaires had high negative predictive values in ruling out severe SDB and may have utility as screening tools.

Keywords: Asian; Berlin questionnaire; NoSAS score; STOP-Bang; Sleep-disordered breathing.

Publication types

  • Validation Study

MeSH terms

  • Area Under Curve
  • Asian People / statistics & numerical data*
  • Female
  • Health Surveys / standards*
  • Humans
  • Male
  • Middle Aged
  • Pregnancy
  • Singapore
  • Sleep Apnea Syndromes / diagnosis*
  • Sleep Apnea Syndromes / physiopathology*
  • Sleep*