» Articles » PMID: 17684781

The Berlin Questionnaire for Sleep Apnea in a Sleep Clinic Population: Relationship to Polysomnographic Measurement of Respiratory Disturbance

Overview
Journal Sleep Breath
Publisher Springer
Date 2007 Aug 9
PMID 17684781
Citations 61
Authors
Affiliations
Soon will be listed here.
Abstract

The Berlin questionnaire (BQ) has been used to help identify patients at high risk of having sleep apnea in primary care and atrial fibrillation patients. The BQ may be a useful adjunct in sleep medicine and research, but it has never been validated in a sleep clinic population. The aim of the study is to determine the specificity and sensitivity of the BQ compared to the respiratory disturbance index (RDI) values obtained from two nights of polysomnographic recording in a sleep clinic population. This is a retrospective chart review study of 130 sleep clinic patients. Patients' demographics, BQ scores, RDI measurements, and sleep study parameters were extracted from the patients' chart. Of the 130 charts reviewed, the BQ identified 76 (58.5%) as being at high-risk of having sleep apnea, but overnight polysomnography found only 34 of the 130 patients (26.2%) had an RDI > 10. The BQ performed with 0.62 sensitivity and 0.43 specificity at the RDI > 10 level. Due to the low sensitivity and specificity as well as the large number of false negatives and positives, the Berlin questionnaire is not an appropriate instrument for identifying patients with sleep apnea in a sleep clinic population.

Citing Articles

Performance of Four Screening Tools for Identifying Obstructive Sleep Apnea Among Patients with Insomnia.

Shi C, Wang Y, Luo J, Huang R, Xiao Y Nat Sci Sleep. 2025; 17:379-390.

PMID: 40060365 PMC: 11887493. DOI: 10.2147/NSS.S494804.


Female Brain and Endocrinological Research-Veteran (FemBER-Vet) study: A study protocol for identifying endocrinological, lifestyle and psychosocial determinants of brain health outcomes in female veterans for future intervention success.

Watermeyer T, Atkinson E, Howatson G, McGill G, Dodds C, Ansdell P PLoS One. 2025; 20(1):e0306149.

PMID: 39841719 PMC: 11753646. DOI: 10.1371/journal.pone.0306149.


Prospective Validation and Usability Evaluation of a Mobile Diagnostic App for Obstructive Sleep Apnea.

Amorim P, Ferreira-Santos D, Drummond M, Rodrigues P Diagnostics (Basel). 2024; 14(22).

PMID: 39594186 PMC: 11592544. DOI: 10.3390/diagnostics14222519.


Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms?.

Gauld C, Baillieul S, Martin V, Richaud A, Lopez R, Pelou M J Clin Sleep Med. 2024; 20(7):1105-1117.

PMID: 38420966 PMC: 11217627. DOI: 10.5664/jcsm.11086.


Association between cerebrospinal fluid pressure and cognition in patients with Alzheimer's disease and Lewy body dementia.

Yang X, Gan J, Ji Y BMC Neurol. 2024; 24(1):35.

PMID: 38243235 PMC: 10797877. DOI: 10.1186/s12883-023-03502-1.


References
1.
. Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. The Report of an American Academy of Sleep Medicine Task Force. Sleep. 1999; 22(5):667-89. View

2.
Johns M . A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991; 14(6):540-5. DOI: 10.1093/sleep/14.6.540. View

3.
Balan S, Spivak B, Mester R, Leibovitz A, Habot B, Weizman A . Psychiatric and polysomnographic evaluation of sleep disturbances. J Affect Disord. 1998; 49(1):27-30. DOI: 10.1016/s0165-0327(97)00195-x. View

4.
Young T, Evans L, Finn L, Palta M . Estimation of the clinically diagnosed proportion of sleep apnea syndrome in middle-aged men and women. Sleep. 1997; 20(9):705-6. DOI: 10.1093/sleep/20.9.705. View

5.
Johns M, Hocking B . Daytime sleepiness and sleep habits of Australian workers. Sleep. 1998; 20(10):844-9. DOI: 10.1093/sleep/20.10.844. View