Evidence map›Paper›PMID 35337024›Full record

ArticleViruses2022

Avidity of IgG to SARS-CoV-2 RBD as a Prognostic Factor for the Severity of COVID-19 Reinfection.

Victor Manuylov, Olga Burgasova, Olga Borisova, Svetlana Smetanina, Daria Vasina, Igor Grigoriev, Alexandra Kudryashova, Maria Semashko, Bogdan Cherepovich, Olga Kharchenko and 4 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Hybrid response to SARS-CoV-2 andHuman vaccines & immunotherapeutics · 2024
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  4. Review
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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

14 authors at 5 institutions in 1 country.

Victor ManuylovGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.
Olga BurgasovaGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0002-5486-0837
Olga BorisovaMechnikov Research Institute for Vaccines and Sera, 105064 Moscow, Russia.
Svetlana SmetaninaInfectious Disease Clinical Hospital № 1, 125367 Moscow, Russia.
Daria VasinaGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0003-1965-0700
Igor GrigorievGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.
Alexandra KudryashovaMechnikov Research Institute for Vaccines and Sera, 105064 Moscow, Russia.
Maria SemashkoGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0002-4174-639X
Bogdan CherepovichMechnikov Research Institute for Vaccines and Sera, 105064 Moscow, Russia.ORCID 0000-0002-5803-6263
Olga KharchenkoMechnikov Research Institute for Vaccines and Sera, 105064 Moscow, Russia.
Denis KleymenovGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.
Elena MazuninaGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0003-0701-5152
Artem TkachukGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.
Vladimir GushchinGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0002-9397-3762
Gamalei Institute of Epidemiology and Microbiology · RUResearch Institute of Vaccines and Sera. Mechnikov of the Russian Academy of Medical Sciences · RUDubna State University · RUInfectious Clinical Hospital No. 1 · RUPeoples' Friendship University of Russia · RU

Funding

The Ministry of Education and Science of the Russian Federation 02.a03.0008
6 · The paper itself

Abstract

The avidity index (AI) of IgG to the RBD of SARS-CoV-2 was determined for 71 patients with a mild (outpatient) course of COVID-19, including 39 primarily and 36 secondarily reinfected, and 92 patients with a severe (hospital) course of COVID-19, including 82 primarily and 10 secondarily infected. The AI was shown to correlate with the severity of repeated disease. In the group of outpatients with a mild course, the reinfected patients had significantly higher median AIs than those with primary infections (82.3% vs. 37.1%, p < 0.0001). At the same time, in patients with a severe course of COVID-19, reinfected patients still had low-avidity antibodies (median AI of 28.4% vs. 25% in the primarily infected, difference not significant, p > 0.05). This suggests that the presence of low-avidity IgG to RBD during reinfection is a negative prognostic factor, in which a patient’s risk of developing COVID-19 in a severe form is significantly increased. Thus, patients with IgG of low avidity (AI ≤ 40%) had an 89 ± 20.5% chance of a severe course of recurrent COVID-19, whereas the detection of high-avidity antibodies (AI ≥ 50%) gave a probability of 94 ± 7.9% for a mild course of recurrent disease (p < 0.05).

Indexed as

COVID-19SARS-CoV-2Antibody AffinityHumansImmunoglobulin GPrognosisReinfectionImmunoglobulin GCOVID-19 reinfectionIgG aviditySARS-CoV-2

Identifiers

PMID35337024
PMCPMC8949074
OpenAlexW4220797023

What OpenQuestion holds

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LicenceCC BY
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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.