Chronic post-COVID neuropsychiatric symptoms persisting beyond one year from infection: a case-control study and network analysis DOI Creative Commons
Steven Wai Ho Chau, Timothy Mitchell Chue, Ngan Yin Chan

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 23, 2023

Abstract Background Limited data about chronic post-COVID neuropsychiatric complaints exist in the literature. Aim Our study aims to delineate phenotypes of symptoms among adult subjects recovering from their first COVID that occurred more than one year ago. We also aim explore clinical and socioeconomic risk factors having a high loading symptoms. Methods recruited group who suffered pre-Omicron ago, control had never COVID. The completed app-based questionnaires on demographic, health status, checklist, mental sleep measures, neurocognitive tests. Results has statistically significantly higher level fatigue compared (p<0.001). Among group, lack any vaccination before material deprivation pandemic predicts load Partial correlation network analysis suggests can be clustered into two major (cognitive -fatigue anxiety-depression) minor (headache-dizziness) cluster. A number both clusters, but only cognitive complaints-fatigue Conclusions result heterogeneity symptoms, which are associated with complex interplay biological factors.

Language: Английский

Chronic post-COVID neuropsychiatric symptoms persisting beyond one year from infection: a case-control study and network analysis DOI Creative Commons
Steven Wai Ho Chau, Timothy Mitchell Chue, Ngan Yin Chan

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 23, 2023

Abstract Background Limited data about chronic post-COVID neuropsychiatric complaints exist in the literature. Aim Our study aims to delineate phenotypes of symptoms among adult subjects recovering from their first COVID that occurred more than one year ago. We also aim explore clinical and socioeconomic risk factors having a high loading symptoms. Methods recruited group who suffered pre-Omicron ago, control had never COVID. The completed app-based questionnaires on demographic, health status, checklist, mental sleep measures, neurocognitive tests. Results has statistically significantly higher level fatigue compared (p<0.001). Among group, lack any vaccination before material deprivation pandemic predicts load Partial correlation network analysis suggests can be clustered into two major (cognitive -fatigue anxiety-depression) minor (headache-dizziness) cluster. A number both clusters, but only cognitive complaints-fatigue Conclusions result heterogeneity symptoms, which are associated with complex interplay biological factors.

Language: Английский

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