Long-Term Consequences of COVID-19: A 1-Year Analysis.

Détails

Ressource 1Télécharger: jcm-12-02673.pdf (983.98 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_D74F62B5F2C9
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Long-Term Consequences of COVID-19: A 1-Year Analysis.
Périodique
Journal of clinical medicine
Auteur⸱e⸱s
Bamps L., Armenti J.P., Bojan M., Grandbastien B., von Garnier C., Du Pasquier R., Desgranges F., Papadimitriou-Olivgeris M., Alberio L., Preisig M., Schwitter J., Guery B.
Collaborateur⸱rice⸱s
The RegCOVID Study Group
ISSN
2077-0383 (Print)
ISSN-L
2077-0383
Statut éditorial
Publié
Date de publication
03/04/2023
Peer-reviewed
Oui
Volume
12
Numéro
7
Pages
2673
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
Long-lasting symptoms after SARS-CoV-2 infection have been described many times in the literature and are referred to as Long COVID. In this prospective, longitudinal, monocentric, observational study, we collected the health complaints of 474 patients (252 ambulatory and 222 hospitalized) at Lausanne University Hospital 1 year after COVID-19 diagnosis. Using a self-reported health survey, we explored cardiopulmonary, vascular, neurological, and psychological complaints. Our results show that age, Charlson comorbidity index, and smoking habits were associated with hospital admission. Regarding the vascular system, we found that having had thromboembolism before SARS-CoV-2 infection was significantly associated with a higher risk of recurrence of thromboembolism at 1 year. In the neurologic evaluation, the most frequent symptom was fatigue, which was observed in 87.5% of patients, followed by "feeling slowed down", headache, and smell disturbance in 71.5%, 68.5%, and 60.7% of cases, respectively. Finally, our cohort subjects scored higher overall in the STAI, CESD, Maastricht, and PSQI scores (which measure anxiety, depression, fatigue, and sleep, respectively) than the healthy population. Using cluster analysis, we identified two phenotypes of patients prone to developing Long COVID. At baseline, CCS score, prior chronic disease, stroke, and atrial fibrillation were associated with Long COVID. During COVID infection, mechanical ventilation and five neurological complaints were also associated with Long COVID. In conclusion, this study confirms the wide range of symptoms developed after COVID with the involvement of all the major systems. Early identification of risk factors associated with the development of Long COVID could improve patient follow-up; nevertheless, the low specificity of these factors remains a challenge to building a systematic approach.
Mots-clé
SARS-CoV-2, long COVID-19
Pubmed
Web of science
Open Access
Oui
Création de la notice
17/04/2023 13:10
Dernière modification de la notice
11/05/2023 6:53
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