Evidence map›Paper›PMID 35632830›Full record

ArticleViruses2022

Anti-SARS-CoV-2 Titers Predict the Severity of COVID-19.

Antonios Kritikos, Sophie Gabellon, Jean-Luc Pagani, Matteo Monti, Pierre-Yves Bochud, Oriol Manuel, Alix Coste, Gilbert Greub, Matthieu Perreau, Giuseppe Pantaleo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. SARS-CoV-2 Immune Complex-Mediated Neutrophil Activation.Open forum infectious diseases · 2025
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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

12 authors at 2 institutions in 1 country.

Antonios KritikosInstitute of Microbiology, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.ORCID 0000-0002-9993-1555
Sophie GabellonInfectious Diseases Service, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.
Jean-Luc PaganiIntensive Care Unit, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.ORCID 0000-0002-1702-6018
Matteo MontiService of Internal Medicine, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.
Pierre-Yves BochudInfectious Diseases Service, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.
Oriol ManuelInfectious Diseases Service, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.
Alix CosteInstitute of Microbiology, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.
Gilbert GreubInstitute of Microbiology, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.ORCID 0000-0001-9529-3317
Matthieu PerreauService of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.
Giuseppe PantaleoService of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.
Antony CroxattoInstitute of Microbiology, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.ORCID 0000-0003-3512-8867
Frederic LamothInstitute of Microbiology, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.ORCID 0000-0002-1023-5597
University of Lausanne · CHADMED (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 is associated with a wide spectrum of disease, ranging from asymptomatic infection to acute respiratory distress syndrome. Some biomarkers may predict disease severity. Among them, the anti-SARS-CoV-2 antibody response has been related to severe disease. The aim of this study was to assess the correlation between the anti-SARS-CoV-2 serological response and COVID-19 outcome. Demographic, clinical, and biological data from nasopharyngeal-PCR confirmed COVID-19 hospitalized patients were prospectively collected between April and August 2020 at our institution. All patients had serial weekly serology testing for a maximum of three blood samples or until discharge. Two different serological assays were used: a chemiluminescent assay and an in-house developed Luminex immunoassay. Kinetics of the serological response and correlation between the antibody titers and outcome were assessed. Among the 70 patients enrolled in the study, 22 required invasive ventilation, 29 required non-invasive ventilation or oxygen supplementation, and 19 did not require any oxygen supplementation. Median duration of symptoms upon admission for the three groups were 13, 8, and 9 days, respectively. Antibody titers gradually increased for up to 3 weeks since the onset of symptoms for patients requiring oxygen supplementation with significantly higher antibody titers for patients requiring invasive ventilation. Antibody titers on admission were also significantly higher in severely ill patients and serology performed well in predicting the necessity of invasive ventilation (AUC: 0.79, 95% CI: 0.67-0.9). Serology testing at admission may be a good indicator to identify severe COVID-19 patients who will require invasive mechanical ventilation.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralHumansNeutralization TestsAntibodies, Viralantibody responseCOVID-19disease severityoutcomeSARS-CoV-2serology

Identifiers

PMID35632830
PMCPMC9143418
OpenAlexW4280513645

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.