Cargando…

SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers

Serological databases represent an important source of information to perceive COVID-19 impact on health professionals involved in combating the disease. This paper describes SerumCovid, a COVID-19 serological database focused on the diagnosis of health professionals, providing a preliminary analysi...

Descripción completa

Detalles Bibliográficos
Autores principales: Lins, Isis Didier, Raupp, Leonardo Streck, Maior, Caio Bezerra Souto, de Barros Felipe, Felipe Cavalcanti, Moura, Márcio José das Chagas, de Santana, João Mateus Marques, dos Santos, Alexsandro, Victor de Arruda Freitas, Marcelo, Silva, Ramon Nascimento, Henrique da Conceição, Ewerton, Ferraz, José Cândido, Araújo, Alice, Fernandes, Mariana, Gomes, Ana Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929608/
https://www.ncbi.nlm.nih.gov/pubmed/35298515
http://dx.doi.org/10.1371/journal.pone.0265016
_version_ 1784670896150020096
author Lins, Isis Didier
Raupp, Leonardo Streck
Maior, Caio Bezerra Souto
de Barros Felipe, Felipe Cavalcanti
Moura, Márcio José das Chagas
de Santana, João Mateus Marques
dos Santos, Alexsandro
Victor de Arruda Freitas, Marcelo
Silva, Ramon Nascimento
Henrique da Conceição, Ewerton
Ferraz, José Cândido
Araújo, Alice
Fernandes, Mariana
Gomes, Ana Lisa
author_facet Lins, Isis Didier
Raupp, Leonardo Streck
Maior, Caio Bezerra Souto
de Barros Felipe, Felipe Cavalcanti
Moura, Márcio José das Chagas
de Santana, João Mateus Marques
dos Santos, Alexsandro
Victor de Arruda Freitas, Marcelo
Silva, Ramon Nascimento
Henrique da Conceição, Ewerton
Ferraz, José Cândido
Araújo, Alice
Fernandes, Mariana
Gomes, Ana Lisa
author_sort Lins, Isis Didier
collection PubMed
description Serological databases represent an important source of information to perceive COVID-19 impact on health professionals involved in combating the disease. This paper describes SerumCovid, a COVID-19 serological database focused on the diagnosis of health professionals, providing a preliminary analysis to contribute to the understanding of the antibody response to the SARS-CoV-2. The study population comprises 321 samples from 236 healthcare and frontline workers fighting COVID-19 in Vitória de Santo Antão, Brazil. Samples were collected from at least six days of symptoms to more than 100 days. The used immunoenzymatic assays were Euroimmun Anti-SARS-CoV-2 ELISA IgG and IgA. The most common gender in SerumCovid is female, while the most common age group is between 30 and 39 years old. However, no statistical differences were observed in either genders or age categories. The most reported symptoms were fatigue, headaches, and myalgia. Still, some subjects presented positive results for IgA after 130 days. Based on a temporal analysis, we have not identified general patterns as subjects presented high and low values of IgA and IgG with different evolution trends. Unexpectedly, for subjects with both serological tests, the outcome of IgA and IgG tests were the same (either positive or negative) for more than 80% of the samples. Therefore, SerumCovid helps better understand how COVID-19 affected healthcare and frontline workers, which increases knowledge about the infection and enables direct prevention actions.
format Online
Article
Text
id pubmed-8929608
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-89296082022-03-18 SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers Lins, Isis Didier Raupp, Leonardo Streck Maior, Caio Bezerra Souto de Barros Felipe, Felipe Cavalcanti Moura, Márcio José das Chagas de Santana, João Mateus Marques dos Santos, Alexsandro Victor de Arruda Freitas, Marcelo Silva, Ramon Nascimento Henrique da Conceição, Ewerton Ferraz, José Cândido Araújo, Alice Fernandes, Mariana Gomes, Ana Lisa PLoS One Research Article Serological databases represent an important source of information to perceive COVID-19 impact on health professionals involved in combating the disease. This paper describes SerumCovid, a COVID-19 serological database focused on the diagnosis of health professionals, providing a preliminary analysis to contribute to the understanding of the antibody response to the SARS-CoV-2. The study population comprises 321 samples from 236 healthcare and frontline workers fighting COVID-19 in Vitória de Santo Antão, Brazil. Samples were collected from at least six days of symptoms to more than 100 days. The used immunoenzymatic assays were Euroimmun Anti-SARS-CoV-2 ELISA IgG and IgA. The most common gender in SerumCovid is female, while the most common age group is between 30 and 39 years old. However, no statistical differences were observed in either genders or age categories. The most reported symptoms were fatigue, headaches, and myalgia. Still, some subjects presented positive results for IgA after 130 days. Based on a temporal analysis, we have not identified general patterns as subjects presented high and low values of IgA and IgG with different evolution trends. Unexpectedly, for subjects with both serological tests, the outcome of IgA and IgG tests were the same (either positive or negative) for more than 80% of the samples. Therefore, SerumCovid helps better understand how COVID-19 affected healthcare and frontline workers, which increases knowledge about the infection and enables direct prevention actions. Public Library of Science 2022-03-17 /pmc/articles/PMC8929608/ /pubmed/35298515 http://dx.doi.org/10.1371/journal.pone.0265016 Text en © 2022 Lins et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lins, Isis Didier
Raupp, Leonardo Streck
Maior, Caio Bezerra Souto
de Barros Felipe, Felipe Cavalcanti
Moura, Márcio José das Chagas
de Santana, João Mateus Marques
dos Santos, Alexsandro
Victor de Arruda Freitas, Marcelo
Silva, Ramon Nascimento
Henrique da Conceição, Ewerton
Ferraz, José Cândido
Araújo, Alice
Fernandes, Mariana
Gomes, Ana Lisa
SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers
title SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers
title_full SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers
title_fullStr SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers
title_full_unstemmed SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers
title_short SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers
title_sort serumcovid database: description and preliminary analysis of serological covid-19 diagnosis in healthcare workers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929608/
https://www.ncbi.nlm.nih.gov/pubmed/35298515
http://dx.doi.org/10.1371/journal.pone.0265016
work_keys_str_mv AT linsisisdidier serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT rauppleonardostreck serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT maiorcaiobezerrasouto serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT debarrosfelipefelipecavalcanti serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT mouramarciojosedaschagas serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT desantanajoaomateusmarques serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT dossantosalexsandro serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT victordearrudafreitasmarcelo serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT silvaramonnascimento serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT henriquedaconceicaoewerton serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT ferrazjosecandido serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT araujoalice serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT fernandesmariana serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers
AT gomesanalisa serumcoviddatabasedescriptionandpreliminaryanalysisofserologicalcovid19diagnosisinhealthcareworkers