Affiliations 

  • 1 Department of Otorhinolaryngology-Head & Neck Surgery, School of Medical Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia. [email protected]
  • 2 Department of Otorhinolaryngology-Head & Neck Surgery, School of Medical Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia
  • 3 Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia
Sleep Breath, 2018 Dec;22(4):1235-1239.
PMID: 29682698 DOI: 10.1007/s11325-018-1663-1

Abstract

PURPOSE: The diagnosis of obstructive sleep apnea (OSA) by polysomnography (PSG) is time-consuming and expensive. The STOP-BANG questionnaire (SBQ) is an adequate screening tool and easily applied. We aimed to validate the Bahasa Malaysia version for use in sleep clinic.

METHODS: A cross-sectional study was carried out in the sleep clinic. Standard forward-backward method was used for translation. Patients were required to answer a translated version of the questionnaire in Bahasa Malaysia and underwent a PSG study. Apnea-hypopnea index (AHI) of five and more was considered diagnostic. SBQ score was divided into two groups, less than 3 and 3 or more to determine its correlation with mild, moderate, or severe OSA. The reliability of the questionnaire was compared against that of the PSG result.

RESULTS: We recruited 134 patients with mean age of 41.22 ± 12.66 years old. 9.7% patients have low risk, 48.5% moderate risk, and 41.8% high risk of OSA by SBQ scoring. 28.4% of patients had mild, 33.6% had moderate, and 38.0% had severe OSA by PSG. The Bahasa Malaysia version had sensitivity, specificity, and positive and negative predictive value of 61.42, 71.05, and 84.06 and 41.54% respectively. When the score is higher, the probability increases for patients to have moderate or severe OSA. SBQ score showed moderate value of agreement to AHI.

CONCLUSIONS: The Bahasa Malaysia version of SBQ is a valid tool for the identification of OSA. It is useful to detect patients at risk for further investigation and management.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.