» Articles » PMID: 31049990

Detecting Sleep Apnoea Syndrome in Primary Care with Screening Questionnaires and the Epworth Sleepiness Scale

Overview
Journal Med J Aust
Specialty General Medicine
Date 2019 May 4
PMID 31049990
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To examine the utility of apnoea screening questionnaires, alone and in combination with the Epworth sleepiness scale (ESS), for detecting obstructive sleep apnoea (OSA) in primary care.

Design, Setting: Prospective validation study in an Australian general population cohort.

Participants: 424 of 772 randomly invited Tasmanian Longitudinal Health Study, 6th decade follow-up participants with OSA symptoms (mean age, 52.9 years; SD, 0.9 year) who completed OSA screening questionnaires and underwent type 4 sleep studies.

Main Outcome Measures: Clinically relevant OSA, defined as moderate to severe OSA (15 or more oxygen desaturation events/hour), or mild OSA (5-14 events/hour) and excessive daytime sleepiness (ESS ≥ 8); diagnostic test properties of the Berlin (BQ), STOP-Bang and OSA-50 questionnaires, alone or combined with an ESS ≥ 8.

Results: STOP-Bang and OSA-50 correctly identified most participants with clinically relevant OSA (sensitivity, 81% and 86% respectively), but with poor specificity (36% and 21% respectively); the specificity (59%) and sensitivity of the BQ (65%) were both low. When combined with the criterion ESS ≥ 8, the specificity of each questionnaire was high (94-96%), but sensitivity was low (36-51%). Sensitivity and specificity could be adjusted according to specific needs by varying the STOP-Bang cut-off score when combined with the ESS ≥ 8 criterion.

Conclusions: For people likely to trigger OSA assessment in primary care, the STOP-Bang, BQ, and OSA-50 questionnaires, combined with the ESS, can be used to rule in, but not to rule out clinically relevant OSA. Combined use of the STOP-Bang with different cut-off scores and the ESS facilitates a flexible balance between sensitivity and specificity.

Citing Articles

Clinically available predictors of obstructive sleep apnoea requiring treatment in type 2 diabetes patients in primary care.

Agholme J, Ahtola K, Toll E, Carlhall C, Henriksson P, Kechagias S Sci Rep. 2025; 15(1):8710.

PMID: 40082634 PMC: 11906869. DOI: 10.1038/s41598-025-93362-1.


Sleep Awareness of Japanese Outpatients: A Survey at a Psychiatry Department of a University Hospital.

Soga J, Kawabe K, Horiuchi F, Yoshino Y, Ozaki Y, Nakachi K Clin Pract. 2024; 14(5):2116-2124.

PMID: 39451882 PMC: 11506421. DOI: 10.3390/clinpract14050167.


Australasian Sleep Association 2024 guidelines for sleep studies in adults.

Ellender C, Ruehland W, Duce B, Joyce R, Worsnop C, Mercer J Sleep. 2024; 47(10).

PMID: 38721674 PMC: 11467053. DOI: 10.1093/sleep/zsae107.


A Novel Clinical Tool to Detect Severe Obstructive Sleep Apnea.

Ye Y, Yan Z, Huang Y, Li L, Wang S, Huang X Nat Sci Sleep. 2023; 15:839-850.

PMID: 37869520 PMC: 10590115. DOI: 10.2147/NSS.S418093.


Associations of early life and childhood risk factors with obstructive sleep apnoea in middle-age.

Senaratna C, Lowe A, Walters E, Abramson M, Bui D, Lodge C Respirology. 2023; 29(1):63-70.

PMID: 37733623 PMC: 10952926. DOI: 10.1111/resp.14592.