Mood Disorders After COVID-19
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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Research Center of Neurology
2023-12-01
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| Series: | Анналы клинической и экспериментальной неврологии |
| Subjects: | |
| Online Access: | https://annaly-nevrologii.com/journal/pathID/article/viewFile/886/pdf |
| _version_ | 1797311767664132096 |
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| author | Anna G. Mikheeva Mariya P. Topuzova Valeriya A. Malko Ekaterina S. Zhilina Arina A. Mikhailova Daria I. Lagutina Tatiana L. Karonova Tatyana M. Alekseeva |
| author_facet | Anna G. Mikheeva Mariya P. Topuzova Valeriya A. Malko Ekaterina S. Zhilina Arina A. Mikhailova Daria I. Lagutina Tatiana L. Karonova Tatyana M. Alekseeva |
| author_sort | Anna G. Mikheeva |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T02:04:33Z |
| format | Article |
| id | doaj.art-2a10dbb1a76e4768b2b2251fae949e25 |
| institution | Directory Open Access Journal |
| issn | 2075-5473 2409-2533 |
| language | English |
| last_indexed | 2024-03-08T02:04:33Z |
| publishDate | 2023-12-01 |
| publisher | Research Center of Neurology |
| record_format | Article |
| series | Анналы клинической и экспериментальной неврологии |
| spelling | doaj.art-2a10dbb1a76e4768b2b2251fae949e252024-02-13T16:36:05ZengResearch Center of NeurologyАнналы клинической и экспериментальной неврологии2075-54732409-25332023-12-01174172710.54101/ACEN.2023.4.2658Mood Disorders After COVID-19Anna G. Mikheeva0https://orcid.org/0000-0002-1478-6580Mariya P. Topuzova1https://orcid.org/0000-0002-0175-3085Valeriya A. Malko2https://orcid.org/0000-0003-2230-3750Ekaterina S. Zhilina3https://orcid.org/0000-0002-9020-3287Arina A. Mikhailova4https://orcid.org/0000-0001-6066-3525Daria I. Lagutina5https://orcid.org/0000-0001-6198-5278Tatiana L. Karonova6https://orcid.org/0000-0002-1547-0123Tatyana M. Alekseeva7https://orcid.org/0000-0002-4441-1165Almazov National Medical Research CentreAlmazov National Medical Research CentreAlmazov National Medical Research CentreAlmazov National Medical Research CentreAlmazov National Medical Research CentreAlmazov National Medical Research CentreAlmazov National Medical Research CentreAlmazov National Medical Research CentreIntroduction. 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.https://annaly-nevrologii.com/journal/pathID/article/viewFile/886/pdfcovid-19post-covid-19 syndromedepressionapathyanxietyfatigue |
| spellingShingle | Anna G. Mikheeva Mariya P. Topuzova Valeriya A. Malko Ekaterina S. Zhilina Arina A. Mikhailova Daria I. Lagutina Tatiana L. Karonova Tatyana M. Alekseeva Mood Disorders After COVID-19 Анналы клинической и экспериментальной неврологии covid-19 post-covid-19 syndrome depression apathy anxiety fatigue |
| title | Mood Disorders After COVID-19 |
| title_full | Mood Disorders After COVID-19 |
| title_fullStr | Mood Disorders After COVID-19 |
| title_full_unstemmed | Mood Disorders After COVID-19 |
| title_short | Mood Disorders After COVID-19 |
| title_sort | mood disorders after covid 19 |
| topic | covid-19 post-covid-19 syndrome depression apathy anxiety fatigue |
| url | https://annaly-nevrologii.com/journal/pathID/article/viewFile/886/pdf |
| work_keys_str_mv | AT annagmikheeva mooddisordersaftercovid19 AT mariyaptopuzova mooddisordersaftercovid19 AT valeriyaamalko mooddisordersaftercovid19 AT ekaterinaszhilina mooddisordersaftercovid19 AT arinaamikhailova mooddisordersaftercovid19 AT dariailagutina mooddisordersaftercovid19 AT tatianalkaronova mooddisordersaftercovid19 AT tatyanamalekseeva mooddisordersaftercovid19 |