Antibody status and cumulative incidence of SARS-CoV-2 infection among adults in three regions of France following the first lockdown and associated risk factors: a multicohort study.


Journal

International journal of epidemiology
ISSN: 1464-3685
Titre abrégé: Int J Epidemiol
Pays: England
ID NLM: 7802871

Informations de publication

Date de publication:
10 Nov 2021
Historique:
accepted: 04 05 2021
pubmed: 23 7 2021
medline: 16 11 2021
entrez: 22 7 2021
Statut: ppublish

Résumé

We aimed to estimate the seropositivity to anti-SARS-CoV-2 antibodies in May-June 2020 after the first lockdown period in adults living in three regions in France and to identify the associated risk factors. Between 4 May 2020 and 23 June 2020, 16 000 participants in a survey on COVID-19 from an existing consortium of three general adult population cohorts living in the Ile-de-France (IDF) or Grand Est (GE) (two regions with high rate of COVID-19) or in the Nouvelle-Aquitaine (NA) (with a low rate) were randomly selected to take a dried-blood spot for anti-SARS-CoV-2 antibodies assessment with three different serological methods (ClinicalTrial Identifier #NCT04392388). The primary outcome was a positive anti-SARS-CoV-2 ELISA IgG result against the spike protein of the virus (ELISA-S). Estimates were adjusted using sampling weights and post-stratification methods. Multiple imputation was used to infer the cumulative incidence of SARS-CoV-2 infection with adjustments for imperfect tests accuracies. The analysis included 14 628 participants, 983 with a positive ELISA-S. The weighted estimates of seropositivity and cumulative incidence were 10.0% [95% confidence interval (CI): 9.1%, 10.9%] and 11.4% (95% CI: 10.1%, 12.8%) in IDF, 9.0% (95% CI: 7.7%, 10.2%) and 9.8% (95% CI: 8.1%, 11.8%) in GE and 3.1% (95% CI: 2.4%, 3.7%) and 2.9% (95% CI: 2.1%, 3.8%) in NA, respectively. Seropositivity was higher in younger participants [odds ratio (OR) = 1.84 (95% CI: 1.79, 6.09) in <40 vs 50-60 years old and OR = 0.56 (95% CI: 0.42, 0.74) in ≥70 vs 50-60 years old)] and when at least one child or adolescent lived in the same household [OR = 1.30 (95% CI: 1.11, 1.53)] and was lower in smokers compared with non-smokers [OR = 0.71 (95% CI: 0.57, 0.89)]. Seropositivity to anti-SARS-CoV-2 antibodies in the French adult population was ≤10% after the first wave. Modifiable and non-modifiable risk factors were identified.

Sections du résumé

BACKGROUND BACKGROUND
We aimed to estimate the seropositivity to anti-SARS-CoV-2 antibodies in May-June 2020 after the first lockdown period in adults living in three regions in France and to identify the associated risk factors.
METHODS METHODS
Between 4 May 2020 and 23 June 2020, 16 000 participants in a survey on COVID-19 from an existing consortium of three general adult population cohorts living in the Ile-de-France (IDF) or Grand Est (GE) (two regions with high rate of COVID-19) or in the Nouvelle-Aquitaine (NA) (with a low rate) were randomly selected to take a dried-blood spot for anti-SARS-CoV-2 antibodies assessment with three different serological methods (ClinicalTrial Identifier #NCT04392388). The primary outcome was a positive anti-SARS-CoV-2 ELISA IgG result against the spike protein of the virus (ELISA-S). Estimates were adjusted using sampling weights and post-stratification methods. Multiple imputation was used to infer the cumulative incidence of SARS-CoV-2 infection with adjustments for imperfect tests accuracies.
RESULTS RESULTS
The analysis included 14 628 participants, 983 with a positive ELISA-S. The weighted estimates of seropositivity and cumulative incidence were 10.0% [95% confidence interval (CI): 9.1%, 10.9%] and 11.4% (95% CI: 10.1%, 12.8%) in IDF, 9.0% (95% CI: 7.7%, 10.2%) and 9.8% (95% CI: 8.1%, 11.8%) in GE and 3.1% (95% CI: 2.4%, 3.7%) and 2.9% (95% CI: 2.1%, 3.8%) in NA, respectively. Seropositivity was higher in younger participants [odds ratio (OR) = 1.84 (95% CI: 1.79, 6.09) in <40 vs 50-60 years old and OR = 0.56 (95% CI: 0.42, 0.74) in ≥70 vs 50-60 years old)] and when at least one child or adolescent lived in the same household [OR = 1.30 (95% CI: 1.11, 1.53)] and was lower in smokers compared with non-smokers [OR = 0.71 (95% CI: 0.57, 0.89)].
CONCLUSIONS CONCLUSIONS
Seropositivity to anti-SARS-CoV-2 antibodies in the French adult population was ≤10% after the first wave. Modifiable and non-modifiable risk factors were identified.

Identifiants

pubmed: 34293141
pii: 6323645
doi: 10.1093/ije/dyab110
pmc: PMC8344948
doi:

Substances chimiques

Antibodies, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1458-1472

Subventions

Organisme : Agence Nationale de la Recherche
ID : #ANR-20-COVI-000, #ANR-10-COHO-06
Organisme : Fondation pour la Recherche Médicale [#20RR052-00], Inserm (Institut National de la Santé et de la Recherche Médicale) [#C20-26]
Organisme : ANR (Agence Nationale de la Recherche)
ID : #ANR-20-COVI-000
Organisme : Fondation pour la Recherche Médicale
ID : #20RR052-00
Organisme : Inserm (Institut National de la Santé et de la Recherche Médicale) [#C20-26]

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© The Author(s) 2021; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

Auteurs

Fabrice Carrat (F)

Sorbonne Université, Inserm, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Paris, France.
Département de Santé Publique, APHP.Sorbonne Université, Paris, France.

Xavier de Lamballerie (X)

Unité des Virus Émergents, UVE: Aix Marseille Univ, IRD 190, Inserm 1207, IHU Méditerranée Infection, Marseille, France.

Delphine Rahib (D)

Santé publique France, Saint-Maurice, France.

Hélène Blanché (H)

Fondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France.

Nathanael Lapidus (N)

Sorbonne Université, Inserm, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Paris, France.
Département de Santé Publique, APHP.Sorbonne Université, Paris, France.

Fanny Artaud (F)

CESP UMR1018, Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Villejuif, France.

Sofiane Kab (S)

Paris University, Paris, France.
Paris-Saclay University, Inserm UMS 11, Villejuif, France.

Adeline Renuy (A)

Paris University, Paris, France.
Paris-Saclay University, Inserm UMS 11, Villejuif, France.

Fabien Szabo de Edelenyi (F)

Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.

Laurence Meyer (L)

Université Paris-Saclay, Inserm, CESP U1018, Le Kremlin Bicêtre, France.
Service de Santé Publique, APHP.Paris Saclay, Le Kremlin Bicêtre, France.

Nathalie Lydié (N)

Santé publique France, Saint-Maurice, France.

Marie-Aline Charles (MA)

Ined, Inserm, EFS, UMS Elfe, Aubervilliers, France.

Pierre-Yves Ancel (PY)

Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Center for Epidemiology and Statistics Sorbonne Paris Cité, Inserm U1153, Paris Descartes University, Paris, France.
Clinical Research Unit, Center for Clinical Investigation P1419, Cochin Broca Hôtel-Dieu Hospital, Paris, France.

Florence Jusot (F)

Université Paris-Dauphine, PSL-Research University, LEDa, Paris, France.

Alexandra Rouquette (A)

Université Paris-Saclay, Inserm, CESP U1018, Le Kremlin Bicêtre, France.
Service de Santé Publique, APHP.Paris Saclay, Le Kremlin Bicêtre, France.

Stéphane Priet (S)

Unité des Virus Émergents, UVE: Aix Marseille Univ, IRD 190, Inserm 1207, IHU Méditerranée Infection, Marseille, France.

Paola Mariela Saba Villarroel (PM)

Unité des Virus Émergents, UVE: Aix Marseille Univ, IRD 190, Inserm 1207, IHU Méditerranée Infection, Marseille, France.

Toscane Fourié (T)

Unité des Virus Émergents, UVE: Aix Marseille Univ, IRD 190, Inserm 1207, IHU Méditerranée Infection, Marseille, France.

Clovis Lusivika-Nzinga (C)

Sorbonne Université, Inserm, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Paris, France.

Jérôme Nicol (J)

Sorbonne Université, Inserm, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Paris, France.

Stephane Legot (S)

Paris University, Paris, France.
Paris-Saclay University, Inserm UMS 11, Villejuif, France.

Nathalie Druesne-Pecollo (N)

Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.

Younes Esseddik (Y)

Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.

Cindy Lai (C)

Institut de Santé Publique, Pôle Recherche Clinique, Institut National de la Santé et de la Recherche Médicale, Paris, France.

Jean-Marie Gagliolo (JM)

Inserm, Institut Thématique Santé Publique, Paris, France.

Jean-François Deleuze (JF)

Fondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France.

Nathalie Bajos (N)

IRIS, Inserm/EHESS/CNRS, Aubervilliers, France.

Gianluca Severi (G)

CESP UMR1018, Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Villejuif, France.
Department of Statistics, Computer Science and Applications, University of Florence, Florence, Italy.

Mathilde Touvier (M)

Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.

Marie Zins (M)

Paris University, Paris, France.
Paris-Saclay University, Inserm UMS 11, Villejuif, France.

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