Literature DB >> 32524336

The predictive value of BOAH scale for screening obstructive sleep apnea in patients at a sleep clinic in Scotland.

Agata Gabryelska1,2, Łukasz Mokros3, Grzegorz Kardas4, Michał Panek4, Renata Riha5, Piotr Białasiewicz6.   

Abstract

OBJECTIVES: The study aimed to evaluate the diagnostic value of an original questionnaire for obstructive sleep apnea (OSA), the BOAH scale, and its ability to prioritize patients at high risk for OSA for polysomnography (PSG) examination.
METHODS: The analysis included 273 patients referred to the Department of Sleep Medicine of the Royal Infirmary, Edinburgh, Scotland. The BOAH scale is comprised of 5 parameters: BMI (≥ 30 kg/m2 gives 1 point, ≥ 35 kg/m2 2 points), presence of witnessed apneas during sleep (1 point), patient age ≥ 50 years (1 point), and history of hypertension (1 point). Patients were divided into three study groups depending on OSA severity defined by the apnea-hypopnea index (AHI): at least mild (AHI ≥ 5), at least moderate (AHI ≥ 15), and severe (AHI ≥ 30) OSA based on polysomnography examination.
RESULTS: In the group of patients with severe OSA, the best BOAH cutoff point was 4 points based upon the Youden index. With 4 points, the area under the receiver operating characteristic (ROC) curve was 0.778 (95% CI 0.721-0.834). Sensitivity and specificity were 57% and 89%, respectively, yielding a positive and negative predictive value of 75% and 78%, respectively, for diagnosis of severe OSAS in a patient sample with a pre-test probability for severe OSA at 37%.
CONCLUSIONS: The BOAH scale in this group of Scottish patients performed comparably to other available questionnaires and scales while being shorter and simpler. The findings suggest that the BOAH scale should be considered as a useful instrument in OSA diagnosis and prioritization of high-risk patients for PSG examination.

Entities:  

Keywords:  BOAH; OSA; PSG; Predictive value

Mesh:

Year:  2020        PMID: 32524336      PMCID: PMC7987701          DOI: 10.1007/s11325-020-02114-0

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.816


  11 in total

1.  High Negative Predictive Value of Normal Body Mass Index for Obstructive Sleep Apnea in the Lateral Sleeping Position.

Authors:  Łukasz Mokros; Wojciech Kuczynski; Agata Gabryelska; Łukasz Franczak; Jakub Spałka; Piotr Białasiewicz
Journal:  J Clin Sleep Med       Date:  2018-06-15       Impact factor: 4.062

2.  Prevalence of sleep-disordered breathing in the general population: the HypnoLaus study.

Authors:  R Heinzer; S Vat; P Marques-Vidal; H Marti-Soler; D Andries; N Tobback; V Mooser; M Preisig; A Malhotra; G Waeber; P Vollenweider; M Tafti; J Haba-Rubio
Journal:  Lancet Respir Med       Date:  2015-02-12       Impact factor: 30.700

3.  The NoSAS score for screening of sleep-disordered breathing: a derivation and validation study.

Authors:  Helena Marti-Soler; Camila Hirotsu; Pedro Marques-Vidal; Peter Vollenweider; Gérard Waeber; Martin Preisig; Mehdi Tafti; Sergio Brasil Tufik; Lia Bittencourt; Sergio Tufik; José Haba-Rubio; Raphael Heinzer
Journal:  Lancet Respir Med       Date:  2016-06-16       Impact factor: 30.700

4.  STOP-Bang Questionnaire: A Practical Approach to Screen for Obstructive Sleep Apnea.

Authors:  Frances Chung; Hairil R Abdullah; Pu Liao
Journal:  Chest       Date:  2016-01-12       Impact factor: 9.410

5.  Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline.

Authors:  Vishesh K Kapur; Dennis H Auckley; Susmita Chowdhuri; David C Kuhlmann; Reena Mehra; Kannan Ramar; Christopher G Harrod
Journal:  J Clin Sleep Med       Date:  2017-03-15       Impact factor: 4.062

Review 6.  Diagnostic accuracy of the Berlin questionnaire, STOP-BANG, STOP, and Epworth sleepiness scale in detecting obstructive sleep apnea: A bivariate meta-analysis.

Authors:  Hsiao-Yean Chiu; Pin-Yuan Chen; Li-Pang Chuang; Ning-Hung Chen; Yu-Kang Tu; Yu-Jung Hsieh; Yu-Chi Wang; Christian Guilleminault
Journal:  Sleep Med Rev       Date:  2016-11-05       Impact factor: 11.609

Review 7.  Prevalence of obstructive sleep apnea in the general population: A systematic review.

Authors:  Chamara V Senaratna; Jennifer L Perret; Caroline J Lodge; Adrian J Lowe; Brittany E Campbell; Melanie C Matheson; Garun S Hamilton; Shyamali C Dharmage
Journal:  Sleep Med Rev       Date:  2016-07-18       Impact factor: 11.609

8.  STOP questionnaire: a tool to screen patients for obstructive sleep apnea.

Authors:  Frances Chung; Balaji Yegneswaran; Pu Liao; Sharon A Chung; Santhira Vairavanathan; Sazzadul Islam; Ali Khajehdehi; Colin M Shapiro
Journal:  Anesthesiology       Date:  2008-05       Impact factor: 7.892

Review 9.  The epidemiology of adult obstructive sleep apnea.

Authors:  Naresh M Punjabi
Journal:  Proc Am Thorac Soc       Date:  2008-02-15

Review 10.  Validation of the STOP-Bang Questionnaire as a Screening Tool for Obstructive Sleep Apnea among Different Populations: A Systematic Review and Meta-Analysis.

Authors:  Mahesh Nagappa; Pu Liao; Jean Wong; Dennis Auckley; Satya Krishna Ramachandran; Stavros Memtsoudis; Babak Mokhlesi; Frances Chung
Journal:  PLoS One       Date:  2015-12-14       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.