A. Mikheeva, M. Topuzova, Valeriya A. Malko, Ekaterina S. Zhilina, A. A. Mikhailova, D. Lagutina, T. L. Karonova, T. M. Alekseeva
{"title":"Mood Disorders After COVID-19","authors":"A. Mikheeva, M. Topuzova, Valeriya A. Malko, Ekaterina S. Zhilina, A. A. Mikhailova, D. Lagutina, T. L. Karonova, T. M. Alekseeva","doi":"10.54101/acen.2023.4.2","DOIUrl":null,"url":null,"abstract":"Introduction. The COVID-19 pandemic has led to a high prevalence of post-COVID-19 syndrome (PCS), with mood disorders being the most common manifestations. \nObjective: To study the prevalence of PCS-associated mood disorders and their features. \nMaterials and methods. We examined patients after COVID-19 (n = 91; age: 24-84 years; median time to recovery: 7 months) using the following tools: the BDI and HADS (screening for anxiety and depression); the Starkstein Apathy Scale; FIS and FSS (fatigue assessment); the MoCA, MMSE, and FAB (cognitive assessment); the FIRST, ESS, PSQI, and ISI (sleep disorders evaluation); the EQ5D (quality of life measurement). We designed a special questionnaire to collect data related to a history of COVID-19 and patients' condition after discharge. In addition, we analyzed electronic medical records and discharge summaries and performed neurological examination. \nResults. Of all the examined patients, 65 (71.4%) participants had signs and symptoms of PCS. Mood disorders were observed in 33 (50.8%) cases, with apathy (78.7%), anxiety (66.7%), and fatigue (60.6%) being the most common. Depressive disorders were found in 12 (36.3%) patients. Cognitive functions were impaired in 7 (21.2%) patients; sleep disorders were observed in 16 (48.5%) cases. We found a positive correlation between depressive disorders and fatigue based on the BDI, FIS, and FSS scores (rS = 0.711; rS = 0.453), depressive disorders and anxiety (rS = 0.366), fatigue and apathy (rS = 0.350). Anxiety increased the risk of sleep disorders (rS = 0.683). Quality of life has been shown to decrease in patients with mood disorders due to the negative effect of long-term fatigue and depressive disorders. \nConclusions. There is a close connection between different types of mood disorders that develop after COVID-19 and exacerbate symptoms of each other. Early diagnosis and treatment of these disorders can improve patients' quality of life and preserve their ability to work.","PeriodicalId":36946,"journal":{"name":"Annals of Clinical and Experimental Neurology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Clinical and Experimental Neurology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54101/acen.2023.4.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction. The COVID-19 pandemic has led to a high prevalence of post-COVID-19 syndrome (PCS), with mood disorders being the most common manifestations.
Objective: To study the prevalence of PCS-associated mood disorders and their features.
Materials and methods. We examined patients after COVID-19 (n = 91; age: 24-84 years; median time to recovery: 7 months) using the following tools: the BDI and HADS (screening for anxiety and depression); the Starkstein Apathy Scale; FIS and FSS (fatigue assessment); the MoCA, MMSE, and FAB (cognitive assessment); the FIRST, ESS, PSQI, and ISI (sleep disorders evaluation); the EQ5D (quality of life measurement). We designed a special questionnaire to collect data related to a history of COVID-19 and patients' condition after discharge. In addition, we analyzed electronic medical records and discharge summaries and performed neurological examination.
Results. Of all the examined patients, 65 (71.4%) participants had signs and symptoms of PCS. Mood disorders were observed in 33 (50.8%) cases, with apathy (78.7%), anxiety (66.7%), and fatigue (60.6%) being the most common. Depressive disorders were found in 12 (36.3%) patients. Cognitive functions were impaired in 7 (21.2%) patients; sleep disorders were observed in 16 (48.5%) cases. We found a positive correlation between depressive disorders and fatigue based on the BDI, FIS, and FSS scores (rS = 0.711; rS = 0.453), depressive disorders and anxiety (rS = 0.366), fatigue and apathy (rS = 0.350). Anxiety increased the risk of sleep disorders (rS = 0.683). Quality of life has been shown to decrease in patients with mood disorders due to the negative effect of long-term fatigue and depressive disorders.
Conclusions. There is a close connection between different types of mood disorders that develop after COVID-19 and exacerbate symptoms of each other. Early diagnosis and treatment of these disorders can improve patients' quality of life and preserve their ability to work.