[Sleep disorders in post-COVID syndrome - a problem of psychiatry or neurology?]
O V KotovaV E MedvedevMichail G PoluektovA A BelyaevE S AkarachkovaPublished in: Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova (2022)
The pandemic of coronavirus infection, which has begun in 2019, has not ended to this day. COVID-19 adversely affects human health not only in the acute period of the disease, but also in the long-run: in a large percentage of cases, recovery takes very long, patients require and often have problems returning to their baseline. During the first wave of the pandemic in 2020, researchers noted that about 10-20% of patients didn't fully recover three weeks after the onset of the disease. It is still not clear how long the recovery period can last, and what are the reasons of different time course of the recovery. Long-term recovery after a viral infection is a non-unique feature of COVID-19, which does not facilitate the management of patients with post-COVID syndrome. The impact on mental health after COVID-19 is significant, and at least 30% of those, who have been ill, may have symptoms of anxiety and/or depression after the acute phase of the disease. Since the emergence of the SARS-CoV-2 virus, there has been an increase in somnological disorders by 42%, while every third COVID-19 patient reports altered sleep patterns. In post-COVID-19 syndrome, this condition is referred to as Coronasomnia (COVID-somnia). The success of therapy of this condition depends on reporting and treating mental disorders in patients, as anxiety and depression are often accompanied by sleep disorders, that is, there is a bidirectional influence of mental disorders on the quality of sleep. The article provides data on two anti-anxiety drugs (noofen and adaptol) that help to treat the manifestations of post-COVID syndrome accompanied by sleep disorders.
Keyphrases
- sars cov
- coronavirus disease
- respiratory syndrome coronavirus
- sleep quality
- mental health
- end stage renal disease
- newly diagnosed
- ejection fraction
- case report
- emergency department
- risk assessment
- stem cells
- deep learning
- patient reported outcomes
- climate change
- depressive symptoms
- bone marrow
- intensive care unit
- cell therapy
- artificial intelligence
- adverse drug
- extracorporeal membrane oxygenation
- neural network
- hepatitis b virus
- aortic dissection