Predictors of obstructive sleep apnea in neurological diseases
Autor: | Dimitar Taskov, F. Alexiev, M. Milanova |
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Jazyk: | Bulgarian<br />English |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Българска неврология, Vol 23, Iss 2 (2022) |
Druh dokumentu: | article |
ISSN: | 1311-8641 2815-2522 |
Popis: | Оbstructive sleep apnea (OSA) is high prevalence and unfortunately underdiagnosed in neurological diseases. Therefore, this study aimed to explore parameters of OSA in ischemic stroke (IS), myasthenia gravis (MG), and multiple sclerosis (MS). Methods We prospectively evaluate seventy-two patients with IS, MG, and MS. A full history and clinical examination were carried out. Psychometric scales as the Epworth Sleepiness Scale (ESS), the STOP-BANG, and the Berlin questionnaire (BQ) were implemented for OSA screening. A 3-channel portable recording device was used for diagnosing sleep parameters. Results Of the 72 neurological patients, 25 were with IS, 24 with MG, and 23 with MS. OSA was found in 80% of stroke patients, 33% of patients with myasthenia gravis and in 13% of patients with multiple sclerosis. In the stroke group, cervical circumference (OR 1.43, 95% CI 1.063-1.950, p=0.019) and the STOPBANG questionnaire ≥ 4 (OR 3.239, 95% CI 1.099-9.543, p=0.033) are significant predictors for the presence of OSA. A higher risk in the BQ is a significant independent predictor for ОSА (OR 7.222, 95% CI 1.076-48.475, p=0.042) in MG patients, whereas for those with MS, the body mass index (OR 1.297 95% CI 1.007-1.672, p=0.044), the waist circumference (OR 1.148 95% CI 1.010-1.305, p=0.035) and STOP-BANG ≥ 3 (OR 8.302 CI 1.012-68.095, p=0.049) are significant independent predictors for the presence of OSA. Conclusions The all-night polygraphy in combination with psychometric tools could be a reliable predictor for OSA in neurological diseases. |
Databáze: | Directory of Open Access Journals |
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