Evidence map›Paper›PMID 33945634›Full record

ArticleJournal of medical virology2021

Determinants of IgG antibodies kinetics after severe and critical COVID-19.

Julien De Greef, Anaïs Scohy, Francis Zech, Frank Aboubakar, Charles Pilette, Ludovic Gerard, Lucie Pothen, Halil Yildiz, Leïla Belkhir, Jean Cyr Yombi

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Julien De GreefDivision of Internal Medicine and Infectious Diseases, Cliniques Universitaires Saint-Luc, Brussels, Belgium.ORCID http://orcid.org/0000-0003-0200-1237
Anaïs ScohyDepartment of Microbiology, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Francis ZechInstitut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain (UCLouvain), Brussels, Belgium.
Frank AboubakarDivision of Pneumology, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Charles PiletteDivision of Pneumology, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Ludovic GerardInstitut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain (UCLouvain), Brussels, Belgium.
Lucie PothenDivision of Internal Medicine and Infectious Diseases, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Halil YildizDivision of Internal Medicine and Infectious Diseases, Cliniques Universitaires Saint-Luc, Brussels, Belgium.ORCID http://orcid.org/0000-0003-3103-1638
Leïla BelkhirDivision of Internal Medicine and Infectious Diseases, Cliniques Universitaires Saint-Luc, Brussels, Belgium.ORCID https://orcid.org/0000-0002-1701-7584
Jean Cyr YombiDivision of Internal Medicine and Infectious Diseases, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Cliniques Universitaires Saint-Luc · BEUCLouvain · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The kinetics of IgG antibodies after coronavirus disease 2019 (COVID-19) remain poorly understood. We investigated factors influencing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgG antibody levels and time to seronegativation during the follow-up of severe and critically ill patients. We retrospectively reviewed serological evaluations drawn during the follow-up of severe or critical laboratory-proven COVID-19 patients hospitalized at a large academic hospital. Specific IgG titers were measured using a chemiluminescent assay targeting anti-spike and anti-nucleocapsid protein IgG. The influence of time, demographic factors, clinical and paraclinical characteristics, and COVID-19 therapeutics on IgG levels were assessed through linear regression using a mixed-effect 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 (p = 0.005) and decreased significantly over time (p = 0.0002). Using elapsed time and age as covariates, we demonstrated higher IgG levels in patients with a higher body mass index (BMI) (p = 0.0026) and lower IgG levels in immunocompromised patients (p = 0.032). 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-19. Age, BMI, and immunosuppression also appear to influence the IgG kinetics, while short-term corticotherapy does not. Those data improve the understanding of SARS-CoV-2 serology while further research should determine the determinants of long-term seroprotection.

Indexed as

Immunocompromised HostAdrenal Cortex HormonesAgedAntibodies, ViralBody Mass IndexConvalescenceCOVID-19COVID-19 Drug TreatmentCOVID-19 Serological TestingFemaleHumansHydroxychloroquineImmunoglobulin GMaleMiddle AgedRespiratory InsufficiencyAdrenal Cortex HormonesAntibodies, ViralHydroxychloroquineImmunoglobulin GcorticosteroidsCOVID-19IgGkineticsSARS-CoV-2serology

Identifiers

PMID33945634
PMCPMC8242749
OpenAlexW3158555956

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.