AccScience Publishing / GTM / Online First / DOI: 10.36922/gtm.5059
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BRIEF REPORT

Capability of questionnaires to screen for sleep apnea in patients with tachyarrhythmias

Yuliya Dmitrievna Weissman1,2†* ,  Azamat Maratovich Baymukanov1† ,  Irina Andreevna Bulavina1 ,  Maria Vladimirovna Yunayeva1 ,  Artem Anatolievich Evmenenko1 ,  Ilya Leonidovich Ilyich1 ,  Sergey Arturovich Termosesov1
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1 Department of Electrophysiology and Cardiac Pacing, Moscow City Clinical Hospital after V.M. Buyanov, Moscow, Russian Federation
2 World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow, Russian Federation
Global Translational Medicine, 5059 https://doi.org/10.36922/gtm.5059
Submitted: 7 October 2024 | Accepted: 10 December 2024 | Published: 27 December 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

Early screening for sleep apnea in patients with tachyarrhythmia is particularly relevant for managing their treatment. Herein, we aimed to assess the screening capabilities of the Berlin Questionnaire, STOP-BANG Sleep Apnea Risk Scale, and Epworth Sleepiness Scale in patients with atrial fibrillation (AF) and atrial flutter. This study included 207 patients with tachyarrhythmia. The patients were asked to fill the three questionnaires. Respiratory monitoring was performed, and the cohort was divided into two groups: those with sleep apnea (Group I) and those without sleep apnea (Group II). Sleep apnea was identified in 155 patients. The remaining 52 patients did not have sleep apnea. Patients in Group I were older (64 vs. 57 years; P = 0.001) and had a higher body mass index (34 vs. 31.65 kg/m²; P = 0.027), waist circumference (114 vs. 108 cm; P = 0.001), and neck circumference (43 cm vs. 41 cm; P = 0.001) than patients in Group II. Type-2 diabetes (59 vs. 8; P = 0.004), heart failure (OR 0.797 [95% CI:0.683–0.929]; P = 0.004), and AF (OR 1.252 [95% CI:1.088–1.441]; P = 0.013) were more common in Group I than in Group II. Eighty-seven patients exhibited paroxysmal AF. The Berlin (area under the curve [AUC] 0.709; sensitivity 80%; specificity 54%) and STOP-BANG (AUC 0.708; sensitivity 79%; specificity 46%) Questionnaires effectively identified sleep apnea. The Epworth Sleepiness Scale had a low predictive ability for sleep apnea (sensitivity 15%; specificity 87%; AUC 0.543). Thus, the Berlin Questionnaire and STOP-BANG Scale may be used to assess the risk of sleep apnea in patients with AF.

Keywords
Sleep apnea syndromes
Mass screening
Atrial fibrillation
Radiofrequency ablation
Funding
This research was funded by a grant from the Moscow Government for the implementation of a scientific and practical project in medicine No. 0702-2.
Conflict of interest
The authors declare that there are no conflicts of interest with any financial organization regarding the work discussed in this manuscript.
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Global Translational Medicine, Electronic ISSN: 2811-0021 Print ISSN: 3060-8600, Published by AccScience Publishing
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