Publications by authors named "E A Verbitskaya"

Introduction: To identify predictors of excessive daytime sleepiness we analyzed data from the 'Epidemiology of cardiovascular diseases in regions of Russia (ESSE-RF)' study.

Methods: Data from participants of the cohort study ESSE-RF (2012-2013), aged 25-64 years, from 13 regions of Russia were analyzed (2012-2013). The participants were interviewed regarding their sleep complaints, including difficulties with initiating and maintaining sleep, sleepiness, and use of sleeping pills.

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Background: Numerous sources reported the increased risk of cerebrovascular accidents (CVA) in individuals with multiple sclerosis (MS), without a single study thus far challenging the conclusion. Before addressing hypothesis on potential cause-effect relationships, a question whether there are indeed frequent comorbidities between MS and CVA needed to be answered.

Methods: Authors designed a study to evaluate substantial populations of four independent neurology centers with the purpose to assess the prevalence of CVA diagnosis in patients with MS, and vice versa.

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Aim: To identify the features of the course of COVID-19 in patients with type 2 diabetes mellitus (T2DM), depending on the intake of hypoglycemic therapy at the prehospital stage, in conjunction with the functional state of the kidneys.

Materials And Methods: A retrospective analysis of 291 case histories of patients with COVID-19 and T2DM hospitalized in the infection department of Semashko Regional Clinical Hospital from January to December 2021, including the main clinical and laboratory parameters. Results.

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The main reasons for the low reliability of results from preclinical studies are the lack of prior sample size calculations and poor experimental design. Here, we demonstrate how the tools of meta-analysis can be implemented to tackle these issues. We conducted a systematic search to identify controlled studies testing established migraine treatments in the electrophysiological model of trigeminovascular nociception (EMTVN).

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Background: There is enough evidence of the negative impact of excess weight on the formation and progression of res piratory pathology. Given the continuing SARS-CoV-2 pandemic, it is relevant to determine the relationship between body mass index (BMI) and the clinical features of the novel coronavirus infection (NCI).

Aim: To study the effect of BMI on the course of the acute SARS-COV-2 infection and the post-covid period.

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