COVID-19 infection among patients with ...
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Article dans une revue scientifique: Article original
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Title :
COVID-19 infection among patients with autoinflammatory diseases: a study on 117 French patients compared with 1545 from the French RMD COVID-19 cohort: COVIMAI - the French cohort study of SARS-CoV-2 infection in patient with systemic autoinflammatory diseases.
Author(s) :
Bourguiba, Rim [Auteur]
CHU Tenon [AP-HP]
Kyheng, MaÉva [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Koné-Paut, Isabelle [Auteur]
Hôpital Bicêtre [AP-HP, Le Kremlin-Bicêtre]
Rouzaud, Diane [Auteur]
AP-HP - Hôpital Bichat - Claude Bernard [Paris]
Avouac, Jérôme [Auteur]
Hôpital Cochin [AP-HP]
Devaux, Mathilde [Auteur]
Centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy]
Abdallah, Nassim A. [Auteur]
Hopital Saint-Louis [AP-HP] [AP-HP]
Fautrel, Bruno [Auteur]
Pharmacoépidémiologie et évaluation des soins [iPLesp] [PEPITES]
Ferreira-Maldent, Nicole [Auteur]
Centre Hospitalier Régional Universitaire de Tours [CHRU Tours]
Langlois, Vincent [Auteur]
Groupe Hospitalier du Havre Hôpital Jacques Monod (MONTIVILLIERS) [GHH]
Ledoult, Emmanuel [Auteur]
Centre National de Référence des Maladies Auto-Immunes Systémiques Rares du Nord et Nord-Ouest de France [CeRAINO]
Nielly, Hubert [Auteur]
Hôpital d'Instruction des Armées Begin [Saint-Mandé, France] [HIA Begin]
Queyrel, Viviane [Auteur]
Centre Hospitalier Universitaire de Nice [CHU Nice]
Sellam, Jérémie [Auteur]
Centre de Recherche Saint-Antoine [UMRS893]
Tieulie, Nathalie [Auteur]
Centre Hospitalier Universitaire de Nice [CHU Nice]
Chazerain, Pascal [Auteur]
Groupe Hospitalier Diaconesses Croix Saint-Simon
Evon, Philippe [Auteur]
Labreuche, Julien [Auteur]
Université Lille Nord (France)
Savey, Léa [Auteur]
CHU Tenon [AP-HP]
Hentgen, Véronique [Auteur]
Centre de Référence des Maladies Auto-Inflammatoires et des Amyloses [CH Versailles] [CeRéMAIA - Hôpital André Mignot]
Grateau, Gilles [Auteur]
CHU Tenon [AP-HP]
Georgin-Lavialle, Sophie [Auteur]
CHU Tenon [AP-HP]
CHU Tenon [AP-HP]
Kyheng, MaÉva [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Koné-Paut, Isabelle [Auteur]
Hôpital Bicêtre [AP-HP, Le Kremlin-Bicêtre]
Rouzaud, Diane [Auteur]
AP-HP - Hôpital Bichat - Claude Bernard [Paris]
Avouac, Jérôme [Auteur]
Hôpital Cochin [AP-HP]
Devaux, Mathilde [Auteur]
Centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy]
Abdallah, Nassim A. [Auteur]
Hopital Saint-Louis [AP-HP] [AP-HP]
Fautrel, Bruno [Auteur]
Pharmacoépidémiologie et évaluation des soins [iPLesp] [PEPITES]
Ferreira-Maldent, Nicole [Auteur]
Centre Hospitalier Régional Universitaire de Tours [CHRU Tours]
Langlois, Vincent [Auteur]
Groupe Hospitalier du Havre Hôpital Jacques Monod (MONTIVILLIERS) [GHH]
Ledoult, Emmanuel [Auteur]
Centre National de Référence des Maladies Auto-Immunes Systémiques Rares du Nord et Nord-Ouest de France [CeRAINO]
Nielly, Hubert [Auteur]
Hôpital d'Instruction des Armées Begin [Saint-Mandé, France] [HIA Begin]
Queyrel, Viviane [Auteur]
Centre Hospitalier Universitaire de Nice [CHU Nice]
Sellam, Jérémie [Auteur]
Centre de Recherche Saint-Antoine [UMRS893]
Tieulie, Nathalie [Auteur]
Centre Hospitalier Universitaire de Nice [CHU Nice]
Chazerain, Pascal [Auteur]
Groupe Hospitalier Diaconesses Croix Saint-Simon
Evon, Philippe [Auteur]
Labreuche, Julien [Auteur]
Université Lille Nord (France)
Savey, Léa [Auteur]
CHU Tenon [AP-HP]
Hentgen, Véronique [Auteur]
Centre de Référence des Maladies Auto-Inflammatoires et des Amyloses [CH Versailles] [CeRéMAIA - Hôpital André Mignot]
Grateau, Gilles [Auteur]
CHU Tenon [AP-HP]
Georgin-Lavialle, Sophie [Auteur]
CHU Tenon [AP-HP]
Journal title :
RMD Open : Rheumatic & Musculoskeletal Diseases
Abbreviated title :
RMD Open
Volume number :
8
Publication date :
2022-05-12
ISSN :
2056-5933
English keyword(s) :
familial Mediterranean fever
biological therapy
autoimmune diseases
COVID-19
biological therapy
autoimmune diseases
COVID-19
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
Objective There is little known about SARS-CoV-2 infection in patients with systemic autoinflammatory disease (SAID). This study aimed to describe epidemiological features associated with severe disease form and death. ...
Show more >Objective There is little known about SARS-CoV-2 infection in patients with systemic autoinflammatory disease (SAID). This study aimed to describe epidemiological features associated with severe disease form and death. Mortality between patients with and without SAID hospitalised for SARS-CoV-2 infection was compared. Methods A national multicentric prospective cohort study was conducted from the French Rheumatic and Musculoskeletal Diseases (RMD) COVID-19 cohort. Patients with SAID were matched with patients with non-SAID on age±7 years, gender and number of comorbidities to consider important confounding factors. Impact of SAID on severity of SARS-CoV-2 infection was analysed using multinomial logistic regression for severity in three classes (mild, moderate and severe with mild status as reference). Fine-Gray regression model for length of hospital stay and binomial logistic regression model for risk of death at 30 days. Results We identified 117 patients with SAID (sex ratio 0.84, 17 children) and compared them with 1545 patients with non-autoinflammatory immune-mediated inflammatory disorders (non-SAID). 67 patients had a monogenic SAID (64 with familial Mediterranean fever). Other SAIDs were Behçet' disease (n=21), undifferentiated SAID (n=16), adult-onset Still disease (n=9) and systemic-onset juvenile idiopathic arthritis (n=5). Ten adults developed severe form (8.6%). Six patients died. All children had a benign disease. After matching on age±7 years, sex and number of comorbidities, no significant difference between the two groups in length of stay and the severity of infection was noted. Conclusion As identified in the whole French RMD COVID-19 cohort, patients with SAID on corticosteroids and with multiple comorbidities are prone to develop more severe COVID-19 forms.Show less >
Show more >Objective There is little known about SARS-CoV-2 infection in patients with systemic autoinflammatory disease (SAID). This study aimed to describe epidemiological features associated with severe disease form and death. Mortality between patients with and without SAID hospitalised for SARS-CoV-2 infection was compared. Methods A national multicentric prospective cohort study was conducted from the French Rheumatic and Musculoskeletal Diseases (RMD) COVID-19 cohort. Patients with SAID were matched with patients with non-SAID on age±7 years, gender and number of comorbidities to consider important confounding factors. Impact of SAID on severity of SARS-CoV-2 infection was analysed using multinomial logistic regression for severity in three classes (mild, moderate and severe with mild status as reference). Fine-Gray regression model for length of hospital stay and binomial logistic regression model for risk of death at 30 days. Results We identified 117 patients with SAID (sex ratio 0.84, 17 children) and compared them with 1545 patients with non-autoinflammatory immune-mediated inflammatory disorders (non-SAID). 67 patients had a monogenic SAID (64 with familial Mediterranean fever). Other SAIDs were Behçet' disease (n=21), undifferentiated SAID (n=16), adult-onset Still disease (n=9) and systemic-onset juvenile idiopathic arthritis (n=5). Ten adults developed severe form (8.6%). Six patients died. All children had a benign disease. After matching on age±7 years, sex and number of comorbidities, no significant difference between the two groups in length of stay and the severity of infection was noted. Conclusion As identified in the whole French RMD COVID-19 cohort, patients with SAID on corticosteroids and with multiple comorbidities are prone to develop more severe COVID-19 forms.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CHU Lille
CHU Lille
Submission date :
2023-11-15T04:11:20Z
2024-01-11T13:59:01Z
2024-01-11T13:59:01Z
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