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Predictors of non-recovery from fatigue and cognitive deficits after COVID-19: a prospective, longitudinal, population-based studyResearch in context

Authors :
Tim J. Hartung
Thomas Bahmer
Irina Chaplinskaya-Sobol
Jürgen Deckert
Matthias Endres
Katrin Franzpötter
Johanna Geritz
Karl G. Haeusler
Grit Hein
Peter U. Heuschmann
Sina M. Hopff
Anna Horn
Thomas Keil
Michael Krawczak
Lilian Krist
Wolfgang Lieb
Corina Maetzler
Felipe A. Montellano
Caroline Morbach
Christian Neumann
Carolin Nürnberger
Anne-Kathrin Russ
Lena Schmidbauer
Sein Schmidt
Stefan Schreiber
Flo Steigerwald
Stefan Störk
Thomas Zoller
Walter Maetzler
Carsten Finke
Source :
EClinicalMedicine, Vol 69, Iss , Pp 102456- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Summary: Background: Despite the high prevalence and major disability associated with fatigue and cognitive deficits after SARS-CoV-2 infection, little is known about long-term trajectories of these sequelae. We aimed to assess long-term trajectories of these conditions and to identify risk factors for non-recovery. Methods: We analyzed longitudinal data from the population-based COVIDOM/NAPKON-POP cohort in Germany. Participants with confirmed SARS-CoV-2 infection were assessed at least 6 months (baseline) and again at least 18 months (follow-up) after infection using the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue) Scale (cutoff ≤ 30) and the Montreal Cognitive Assessment (MoCA, cutoff ≤ 25). Predictors of recovery from fatigue or cognitive deficits between assessments were identified through univariate and multivariable logistic regression models. The COVIDOM study is registered at the German registry for clinical studies (DRKS00023742) and at ClinicalTrials.gov (NCT04679584). Findings: Between 15 November 2020 and 9 May 2023, a total of 3038 participants were assessed at baseline (median 9 months after infection) and 83% responded to invitations for follow-up (median 26 months after infection). At baseline, 21% (95% confidence interval (CI) [20%, 23%]) had fatigue and 23% (95% CI [22%, 25%]) had cognitive deficits according to cutoff scores on the FACIT-Fatigue or MoCA. Participants with clinically relevant fatigue (at baseline) showed significant improvement in fatigue scores at follow-up (Hedges’ g [95% CI] = 0.73 [0.60, 0.87]) and 46% (95% CI [41%, 50%]) had recovered from fatigue. Participants with cognitive deficits showed a significant improvement in cognitive scores (g [95% CI] = 1.12 [0.90, 1.33]) and 57% (95% CI [50%, 64%]) had recovered from cognitive deficits. Patients with fatigue exhibiting a higher depressive symptom burden and/or headache at baseline were significantly less likely to recover. Significant risk factors for cognitive non-recovery were male sex, older age and

Details

Language :
English
ISSN :
25895370
Volume :
69
Issue :
102456-
Database :
Directory of Open Access Journals
Journal :
EClinicalMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.989245ea2ce048df933432e9377840c9
Document Type :
article
Full Text :
https://doi.org/10.1016/j.eclinm.2024.102456