Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/37745
Title: The Impact of COVID-19 Infection on Cognitive Function and the Implication for Rehabilitation: A Systematic Review and Meta-Analysis
Authors: Houben, Sarah
BONNECHERE, Bruno 
Issue Date: 2022
Publisher: MDPI
Source: International Journal of Environmental Research and Public Health, 19 (13) (Art N° 7748)
Abstract: There is mounting evidence that patients with severe COVID-19 disease may have symptoms that continue beyond the acute phase, extending into the early chronic phase. This prolonged COVID-19 pathology is often referred to as ‘Long COVID’. Simultaneously, case investigations have shown that COVID-19 individuals might have a variety of neurological problems. The accurate and accessible assessment of cognitive function in patients post-COVID-19 infection is thus of increasingly high importance for both public and individual health. Little is known about the influence of COVID-19 on the general cognitive levels but more importantly, at sub-functions level. Therefore, we first aim to summarize the current level of evidence supporting the negative impact of COVID-19 infection on cognitive functions. Twenty-seven studies were included in the systematic review representing a total of 94,103 participants (90,317 COVID-19 patients and 3786 healthy controls). We then performed a meta-analysis summarizing the results of five studies (959 participants, 513 patients) to quantify the impact of COVID-19 on cognitive functions. The overall effect, expressed in standardized mean differences, is −0.41 [95%CI −0.55; −0.27]. To prevent disability, we finally discuss the different approaches available in rehabilitation to help these patients and avoid long-term complications.
Keywords: long-COVID;cognitive disorders;rehabilitation
Document URI: http://hdl.handle.net/1942/37745
ISSN: 1661-7827
e-ISSN: 1660-4601
DOI: 10.3390/ijerph19137748
ISI #: 000823481800001
Rights: 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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