Abstract

the article summarizes and describes clinical features of anxiety disorders in post-COVID-19 syndrome. Mental and neurological disorders occupy a leading place in the structure of post-COVID syndrome. Recent studies indicate an increase in the incidence of anxiety disorders in individuals with COVID-19. However, no clinical or laboratory features of the post-COVID anxiety disorders have been identified. Therefore, our study aimed to describe the clinical features of anxiety disorders in the post-COVID period and to develop a mathematical prognostic model to identify potential predictors of post-COVID anxiety disorder. We conducted a case-control clinical study, which included 145 males and females, which were divided into 2 groups, namely: group 1 - patients who became ill with COVID-19 during the last 6 months and group 2 - persons who were not ill with COVID-19 during the last 6 months. The clinical interview included the registration of symptoms of the debut and the time of the debut relative to the episode of COVID-19. The Beck anxiety inventory was used for the assessment of the overall level of anxiety. The State-trait anxiety inventory was used to assess state and trait anxiety. Statistical analysis of the data was performed using the program EZR Statistics 1.54. Anxiety disorders during the first 6 months after COVID-19 develop more often than those who have not had the disease in the last six months. Patients who had COVID-19 in the last 5-24 weeks have an increased risk of anxiety disorders during this period and therefore require close medical supervision and sufficient awareness of the likely symptoms. People with a post-COVID anxiety disorder reported the presence of autonomic symptoms, including excessive sweating and tachycardia, a feeling of inner emptiness, as well as circadian rhythm disorders in the form of difficulty falling asleep and waking up at the desired time. It should be noted that the overall frequency of detection of anxiety disorders in the post-COVID period is increasing. It has been established that the risk of developing post-COVID disorder decreases with knowledge of the fact of contact with an infected person before the COVID onset and increases with a heightened level of prior personal anxiety. Circadian rhythm disorders, in particular sleep phase shift and abnormal fatigue, may be predictors of post-COVID anxiety disorder.

Highlights

  • The COVID-19 pandemic continues to affect people around the world and damage the health and political systems of the states

  • Our study aimed to describe the clinical features of anxiety disorders in the post-COVID period and to develop a mathematical prognostic model to identify potential predictors of post-COVID anxiety disorder

  • We found that knowledge of the fact of contact with an infected person before the COVID-19 episode, difficulty falling asleep, difficulty waking up at the desired time, pathological fatigue, and level of personal anxiety all are of prognostic value for the risk of developing a postCOVID anxiety disorder

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Summary

Introduction

The COVID-19 pandemic continues to affect people around the world and damage the health and political systems of the states. Since most patients survive this disease, the problem of the longterm consequences of this infection is a pressing issue (Jiang & McCoy, 2020). A year ago, the existence of post-COVID syndrome was questioned, but it was assumed that its existence may be due to the persistence of symptoms for 6 months after the disease (Lamprecht, 2020). It is generally accepted that postcovid syndrome includes symptoms that appear after the 4th week after the disease persisting for a later period and are directly related to the coronavirus infection (Carod Artal, 2021). More and more researchers are discussing the symptoms of the whole syndrome and trying to classify it based on various approaches. It is proposed to divide the symptoms that occur after

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