Course of fatigue among patients previously hospitalised due to COVID-19

INTRODUCTION: Discrepancies exist regarding the clinical course and prognostic factors for post-COVID fatigue. Therefore, our aim was to assess the timely course of fatigue and its possible predictors in patients previously hospitalised due to SARS-CoV-2 infection.

MATERIAL AND METHODS: Patients and employees of the University Hospital in Krakow were assessed with the use of a validated neuropsychological questionnaire. Included were participants aged 18 or more, previously hospitalised due to COVID-19, who completed questionnaires only once > 3 months after the onset of infection. Individuals were retrospectively asked about the presence of eight symptoms of chronic fatigue syndrome at four timepoints: before COVID-19, within 0-4 weeks, 4-12 weeks, and > 12 weeks post-infection.

RESULTS: We enrolled 204 patients [40.2% women, median age 58 (46-66) years] evaluated after a median of 187 (156-220) days from the first positive nasal swab test for SARS-CoV-2. The most common comorbidities were hypertension (44.61%), obesity (36.27%), smoking (28.43%), and hypercholesterolemia (21.08%); none of the patients required mechanical ventilation during hospitalisation. Before COVID-19, 43.62% of patients reported at least one symptom of chronic fatigue. Within 4, 4-12, and > 12 weeks after COVID-19, the prevalence of chronic fatigue was 76.96%, 75.49%, and 66.17%, respectively (all p < 0.001). The frequency of chronic fatigue symptoms decreased within > 12 weeks following the onset of infection but did not return to baseline values, except for self-reported lymph node enlargement. In a multivariable linear regression model, the number of fatigue symptoms was predicted by female sex [β 0.25 (0.12; 0.39), p < 0.001 and 0.26 (0.13; 0.39), p < 0.001 for weeks 0-12 and > 12, respectively], and age [for < 4 weeks, β -0.12 (-0.28; -0.01), p = 0.029].

CONCLUSIONS: Most patients previously hospitalised due to COVID-19 suffer from fatigue > 12 weeks after infection onset. The presence of fatigue is predicted by female sex and - only for the acute phase - age.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:57

Enthalten in:

Neurologia i neurochirurgia polska - 57(2023), 1 vom: 21., Seite 101-110

Sprache:

Englisch

Beteiligte Personen:

Mazurkiewicz, Iwona [VerfasserIn]
Chatys-Bogacka, Żaneta [VerfasserIn]
Słowik, Joanna [VerfasserIn]
Zdanecka, Magdalena [VerfasserIn]
Siwiec-Koźlik, Andżelika [VerfasserIn]
Słowik, Agnieszka [VerfasserIn]
Drabik, Leszek [VerfasserIn]
Wnuk, Marcin [VerfasserIn]

Links:

Volltext

Themen:

COVID-19
Fatigue
Journal Article
Long COVID
Middle aged
Neurological manifestations
Prognosis
SARS-CoV-2

Anmerkungen:

Date Completed 02.03.2023

Date Revised 02.03.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.5603/PJNNS.a2023.0015

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM35317050X