Factors associated with COVID-19 severity in patients with spondyloarthritis: Results of the French RMD COVID-19 cohort.


Journal

Joint bone spine
ISSN: 1778-7254
Titre abrégé: Joint Bone Spine
Pays: France
ID NLM: 100938016

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 21 02 2023
revised: 15 05 2023
accepted: 22 06 2023
medline: 4 12 2023
pubmed: 7 7 2023
entrez: 6 7 2023
Statut: ppublish

Résumé

The objective of the current study was to evaluate the severity of COVID-19 and identify factors associated with severe disease outcomes in patients with spondyloarthritis (SpA), a chronic inflammatory rheumatic and musculoskeletal disease (RMD). We utilized patient data from the French national multicenter RMD COVID-19 cohort (NCT04353609). The primary outcome was to describe COVID-19 characteristics in patients with SpA based on disease severity of COVID-19 (mild, moderate or severe) with serious infection including moderate and severe cases. The secondary outcome was to identify the factors associated with serious COVID-19 classification. Among the 626 patients with SpA (56% female, mean age 49±14 years) from the French RMD cohort, COVID-19 severity was mild in 508 (81%), moderate in 93 (15%), and severe in 25 (4%) patients. Clinical signs and symptoms of COVID-19 were reported in 587 (94%) patients, with the most frequent presented symptom of fever (63%) and cough (62%), followed by flu-like symptoms (53%), agueusia (39%), anosmia (37%), dyspnea (32%) and diarrhea (19.9%). COVID-19 severity was associated with corticosteroid therapy (OR=3.08 [95% CI: 1.44-6.58], P=0.004) and age (OR=1.06 [95% CI: 1.04-1.08], P<0.001) while use of tumor necrosis factor inhibitor (TNFi, OR=0.27 [95% CI: 0.09-0.78], P=0.01) was associated with less severe disease. We did not identify an association between NSAID use and COVID-19 severity. In this study, the majority of patients with SpA had a favorable COVID-19 outcome. We confirmed age and corticosteroids therapy had a negative impact on disease outcomes while TNFi use was protective.

Identifiants

pubmed: 37414137
pii: S1297-319X(23)00087-8
doi: 10.1016/j.jbspin.2023.105608
pii:
doi:

Substances chimiques

Tumor Necrosis Factor-alpha 0

Types de publication

Multicenter Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105608

Informations de copyright

Copyright © 2023 Société française de rhumatologie. Published by Elsevier Masson SAS. All rights reserved.

Auteurs

Léa Perrot (L)

Department of Rheumatology, Aix-Marseille université, AP-HM, CHU de Sainte-Marguerite, 270, boulevard Sainte-Marguerite, 13009 Marseille, France.

Laurent Boyer (L)

School of Medicine, La Timone Medical Campus, EA 3279: CEReSS - Health Service Research and Quality of life Center, Aix-Marseille université, Marseille, France.

René-Marc Flipo (RM)

Department of Rheumatology, université de Lille, CHU de Lille, Lille, France.

Hubert Marotte (H)

Department of Rheumatology, Inserm U1059, université de Lyon, CHU de Saint-Étienne, 42055 Saint-Étienne, France.

Edouard Pertuiset (E)

Department of Rheumatology, centre hospitalier René-Dubos, Pontoise, France.

Corinne Miceli (C)

Department of Rheumatology, Cochin Hospital, AP-HP, Paris University, Paris, France.

Thierry Thomas (T)

Department of Rheumatology, Inserm U1059, université de Lyon, CHU de Saint-Étienne, 42055 Saint-Étienne, France.

Raphaele Seror (R)

Department of Rheumatology, CHU Le Kremlin-Bicêtre, AP-HP, Inserm UMR 1184, université Paris-Sud, Paris, France.

Pascal Chazerain (P)

Department of Rheumatology, groupe hospitalier Diaconesses-Croix Saint-Simon, Paris, France.

Nicolas Roux (N)

Department of Rheumatology, hôpital Robert-Schuman, Metz, France.

Christophe Richez (C)

Rheumatology Department, ImmunoConcEpt, CNRS, UMR 5164, University of Bordeaux, CHU de Bordeaux, Bordeaux, France.

Thao Pham (T)

Department of Rheumatology, Aix-Marseille université, AP-HM, CHU de Sainte-Marguerite, 270, boulevard Sainte-Marguerite, 13009 Marseille, France. Electronic address: thao.pham@ap-hm.fr.

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Classifications MeSH