Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study.

Elastic net regression Machine learning Post-COVID depression Post-COVID fatigue

Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
13 Feb 2024
Historique:
received: 11 09 2023
revised: 30 01 2024
accepted: 12 02 2024
medline: 16 2 2024
pubmed: 16 2 2024
entrez: 15 2 2024
Statut: aheadofprint

Résumé

Depression and fatigue are commonly observed sequelae following viral diseases such as COVID-19. Identifying symptom constellations that differentially classify post-COVID depression and fatigue may be helpful to individualize treatment strategies. Here, we investigated whether self-reported post-COVID depression and post-COVID fatigue are associated with the same or different symptom constellations. To address this question, we used data from COVIDOM, a population-based cohort study conducted as part of the NAPKON-POP platform. Data was collected in three different German regions (Kiel, Berlin, Würzburg). We analyzed data from >2000 individuals at least six months past a PCR-confirmed COVID-19 disease, using elastic net regression and cluster analysis. The regression model was developed in the Kiel data set, and externally validated using data sets from Berlin and Würzburg. Our results revealed that post-COVID depression and fatigue are associated with overlapping symptom constellations consisting of difficulties with daily activities, perceived health-related quality of life, chronic exhaustion, unrestful sleep, and impaired concentration. Confirming the overlap in symptom constellations, a follow-up cluster analysis could categorize individuals as scoring high or low on depression and fatigue but could not differentiate between both dimensions. The data presented are cross-sectional, consisting primarily of self-reported questionnaire or medical records rather than biometrically collected data. In summary, our results suggest a strong link between post-COVID depression and fatigue and thus highlighting the need for integrative treatment approaches.

Sections du résumé

BACKGROUND BACKGROUND
Depression and fatigue are commonly observed sequelae following viral diseases such as COVID-19. Identifying symptom constellations that differentially classify post-COVID depression and fatigue may be helpful to individualize treatment strategies. Here, we investigated whether self-reported post-COVID depression and post-COVID fatigue are associated with the same or different symptom constellations.
METHODS METHODS
To address this question, we used data from COVIDOM, a population-based cohort study conducted as part of the NAPKON-POP platform. Data was collected in three different German regions (Kiel, Berlin, Würzburg). We analyzed data from >2000 individuals at least six months past a PCR-confirmed COVID-19 disease, using elastic net regression and cluster analysis. The regression model was developed in the Kiel data set, and externally validated using data sets from Berlin and Würzburg.
RESULTS RESULTS
Our results revealed that post-COVID depression and fatigue are associated with overlapping symptom constellations consisting of difficulties with daily activities, perceived health-related quality of life, chronic exhaustion, unrestful sleep, and impaired concentration. Confirming the overlap in symptom constellations, a follow-up cluster analysis could categorize individuals as scoring high or low on depression and fatigue but could not differentiate between both dimensions.
LIMITATIONS CONCLUSIONS
The data presented are cross-sectional, consisting primarily of self-reported questionnaire or medical records rather than biometrically collected data.
CONCLUSIONS CONCLUSIONS
In summary, our results suggest a strong link between post-COVID depression and fatigue and thus highlighting the need for integrative treatment approaches.

Identifiants

DOI: 10.1016/j.jad.2024.02.041 PMID: 38360365
pubmed: 38360365
pii: S0165-0327(24)00350-1
doi: 10.1016/j.jad.2024.02.041
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that there are no conflicts of interest regarding the publication of this paper.

Auteurs

Martin Weiß (M)

University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany. Electronic address: Weiss_M11@ukw.de.

Julian Gutzeit (J)

University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany.

Katharina S Appel (KS)

Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Frankfurt am Main, Germany.

Thomas Bahmer (T)

Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany; Airway Research Center North (ARCN), German Center for Lung Research (DZL), Wöhrendamm 80, 22927 Großhansdorf, Germany.

Manfred Beutel (M)

Department for Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Untere Zahlbacher Str. 8, 55131 Mainz, Germany.

Jürgen Deckert (J)

University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany.

Julia Fricke (J)

Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Germany.

Sabine Hanß (S)

Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany.

Nora Hettich-Damm (N)

Department for Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Untere Zahlbacher Str. 8, 55131 Mainz, Germany.

Peter U Heuschmann (PU)

Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center, Department of Internal Medicine I, University Hospital Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany; Clinical Trial Center Würzburg (CTC/ZKS), University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Institute of Medical Data Science, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.

Anna Horn (A)

Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.

Kamila Jauch-Chara (K)

Department of Psychiatry and Psychotherapy, Christian-Albrechts-Universität zu Kiel, Kiel, Germany.

Mirjam Kohls (M)

Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.

Lilian Krist (L)

Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Germany.

Bettina Lorenz-Depiereux (B)

Institute of Epidemiology, Helmholtz Zentrum München, Munich, Germany.

Christian Otte (C)

Charité - Universitätsmedizin Berlin, Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Berlin, Germany.

Daniel Pape (D)

Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany.

Jens-Peter Reese (JP)

Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.

Stefan Schreiber (S)

Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany.

Stefan Störk (S)

Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center, Department of Internal Medicine I, University Hospital Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany.

Jörg Janne Vehreschild (JJ)

Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Frankfurt am Main, Germany; Department I for Internal Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.

Grit Hein (G)

University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany.

Classifications MeSH