Neuropsychological Predictors of Fatigue in Post-COVID Syndrome.
cognitive
fatigue
machine learning
neuropsychological
post-COVID syndrome
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
04 Jul 2022
04 Jul 2022
Historique:
received:
21
06
2022
revised:
01
07
2022
accepted:
01
07
2022
entrez:
9
7
2022
pubmed:
10
7
2022
medline:
10
7
2022
Statut:
epublish
Résumé
Fatigue is one of the most disabling symptoms in several neurological disorders and has an important cognitive component. However, the relationship between self-reported cognitive fatigue and objective cognitive assessment results remains elusive. Patients with post-COVID syndrome often report fatigue and cognitive issues several months after the acute infection. We aimed to develop predictive models of fatigue using neuropsychological assessments to evaluate the relationship between cognitive fatigue and objective neuropsychological assessment results. We conducted a cross-sectional study of 113 patients with post-COVID syndrome, assessing them with the Modified Fatigue Impact Scale (MFIS) and a comprehensive neuropsychological battery including standardized and computerized cognitive tests. Several machine learning algorithms were developed to predict MFIS scores (total score and cognitive fatigue score) based on neuropsychological test scores. MFIS showed moderate correlations only with the Stroop Color-Word Interference Test. Classification models obtained modest F1-scores for classification between fatigue and non-fatigued or between 3 or 4 degrees of fatigue severity. Regression models to estimate the MFIS score did not achieve adequate
Identifiants
pubmed: 35807173
pii: jcm11133886
doi: 10.3390/jcm11133886
pmc: PMC9267301
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Comunidad de Madrid
ID : FIBHCSC 2020 COVID
Organisme : Instituto de Salud Carlos III
ID : INT20/00079
Organisme : Comunidad de Madrid
ID : G63-Healthstart Plus HSP3
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