{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T08:08:53Z","timestamp":1770883733791,"version":"3.50.1"},"reference-count":44,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2021,5,12]],"date-time":"2021-05-12T00:00:00Z","timestamp":1620777600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Medical Virology"],"published-print":{"date-parts":[[2021,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:label\/><jats:p>The kinetics of IgG antibodies after coronavirus disease 2019 (COVID\u201019) remain poorly understood. We investigated factors influencing severe acute respiratory syndrome coronavirus 2 (SARS\u2010CoV\u20102) IgG antibody levels and time to seronegativation during the follow\u2010up of severe and critically ill patients. We retrospectively reviewed serological evaluations drawn during the follow\u2010up of severe or critical laboratory\u2010proven COVID\u201019 patients hospitalized at a large academic hospital. Specific IgG titers were measured using a chemiluminescent assay targeting anti\u2010spike and anti\u2010nucleocapsid protein IgG. The influence of time, demographic factors, clinical and paraclinical characteristics, and COVID\u201019 therapeutics on IgG levels were assessed through linear regression using a mixed\u2010effect model, and delay until IgG negativation through a Weibull regression model. The cohort included 116 patients with a total of 154 IgG measurements drawn at a median of 79 days after diagnosis. IgG antibodies were increased with age (<jats:italic>p<\/jats:italic>\u2009=\u20090.005) and decreased significantly over time (<jats:italic>p<\/jats:italic>\u2009=\u20090.0002). Using elapsed time and age as covariates, we demonstrated higher IgG levels in patients with a higher body mass index (BMI) (<jats:italic>p<\/jats:italic>\u2009=\u20090.0026) and lower IgG levels in immunocompromised patients (<jats:italic>p<\/jats:italic>\u2009=\u20090.032). A high BMI was further found to delay and immunodeficiency to hasten significantly seronegativation, whereas no significant effect was observed with corticosteroids. These data highlight the waning over time of IgG antibodies after severe or critical COVID\u201019. Age, BMI, and immunosuppression also appear to influence the IgG kinetics, while short\u2010term corticotherapy does not. Those data improve the understanding of SARS\u2010CoV\u20102 serology while further research should determine the determinants of long\u2010term seroprotection.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmv.27059","type":"journal-article","created":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T16:38:49Z","timestamp":1620146329000},"page":"5416-5424","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Determinants of IgG antibodies kinetics after severe and critical COVID\u201019"],"prefix":"10.1002","volume":"93","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0200-1237","authenticated-orcid":false,"given":"Julien","family":"De Greef","sequence":"first","affiliation":[{"name":"Division of Internal Medicine and Infectious Diseases Cliniques Universitaires Saint\u2010Luc Brussels Belgium"},{"name":"Institut de Recherche Exp\u00e9rimentale et Clinique (IREC) Universit\u00e9 catholique de Louvain (UCLouvain) Brussels 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