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Does Working in a COVID-19 Receiving Health Facility Influence Seroprevalence to SARS-CoV-2?
Objective In this study, we aimed at comparing the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in healthcare workers (HCWs) in coronavirus disease 2019 (COVID-19) receiving and non-COVID-19 receiving hospitals in Peshawar, Pakistan. Methods This cross-se...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654561/ https://www.ncbi.nlm.nih.gov/pubmed/33194502 http://dx.doi.org/10.7759/cureus.11389 |
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author | Noor, Mohammad Haq, Mohsina Ul Haq, Najib Amin, Said Rahim, Fawad Bahadur, Sher Ullah, Raza Khan, Muhammad Asif Mahmood, Afsheen Gul, Huma |
author_facet | Noor, Mohammad Haq, Mohsina Ul Haq, Najib Amin, Said Rahim, Fawad Bahadur, Sher Ullah, Raza Khan, Muhammad Asif Mahmood, Afsheen Gul, Huma |
author_sort | Noor, Mohammad |
collection | PubMed |
description | Objective In this study, we aimed at comparing the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in healthcare workers (HCWs) in coronavirus disease 2019 (COVID-19) receiving and non-COVID-19 receiving hospitals in Peshawar, Pakistan. Methods This cross-sectional analytical study was conducted in a COVID-19 receiving hospital (hospital ‘A’) and a non-COVID-19 receiving hospital (hospital ‘B’). Using stratified random sampling, 1,011 HCWs (439 from hospital ‘A’ and 572 from hospital ‘B’) were recruited to participate in the study. Immunoglobulin G/immunoglobulin M (IgG/IgM) antibodies were checked using Elecsys® (Roche, Basel, Switzerland) Anti-SARS-CoV-2 immunoassay. The chi-squared test was used to compare frequencies, and the binary logistic regression model was used to predict the association between study variables' seropositivity to SARS-CoV-2. A p-value of <0.05 was considered statistically significant. Results The overall seroprevalence to SARS-CoV-2 antibodies in the two hospitals was 30.76%. It was 28.2% in hospital ‘A’ and 32.7% in hospital ‘B’ (p=0.129). The seroprevalence in HCWs having direct contact with COVID-19 patients was higher (33.1%) in non-COVID-19 receiving hospital versus 23.8% in COVID-19 receiving hospital (p=0.034). Seroprevalence was highest among administrative staff (44.0%), followed by nurses (30.8%), residents (19.8%), and consultants (17.8%) (p=0.001). As compared to consultants, the administrative and nursing staff were 3.398 and 3.116 times more likely to have positive antibodies, respectively. There were no significant differences in the seroprevalence between the respective categories of staff of the two hospitals. Conclusions The non-COVID-19 receiving hospital had a higher proportion of seropositive HCWs than the COVID-19 receiving hospital. The HCWs in the non-COVID-19 receiving hospital who had direct contact with patients had significantly higher seroprevalence. Seroprevalence was highest for administrative staff followed by nursing staff, residents, and consultants. Regardless of the COVID-19 status of the healthcare facility, all HCWs shall be trained on, and consistently follow, the proper protocols for donning and doffing of personal protective equipment (PPE). |
format | Online Article Text |
id | pubmed-7654561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-76545612020-11-12 Does Working in a COVID-19 Receiving Health Facility Influence Seroprevalence to SARS-CoV-2? Noor, Mohammad Haq, Mohsina Ul Haq, Najib Amin, Said Rahim, Fawad Bahadur, Sher Ullah, Raza Khan, Muhammad Asif Mahmood, Afsheen Gul, Huma Cureus Preventive Medicine Objective In this study, we aimed at comparing the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in healthcare workers (HCWs) in coronavirus disease 2019 (COVID-19) receiving and non-COVID-19 receiving hospitals in Peshawar, Pakistan. Methods This cross-sectional analytical study was conducted in a COVID-19 receiving hospital (hospital ‘A’) and a non-COVID-19 receiving hospital (hospital ‘B’). Using stratified random sampling, 1,011 HCWs (439 from hospital ‘A’ and 572 from hospital ‘B’) were recruited to participate in the study. Immunoglobulin G/immunoglobulin M (IgG/IgM) antibodies were checked using Elecsys® (Roche, Basel, Switzerland) Anti-SARS-CoV-2 immunoassay. The chi-squared test was used to compare frequencies, and the binary logistic regression model was used to predict the association between study variables' seropositivity to SARS-CoV-2. A p-value of <0.05 was considered statistically significant. Results The overall seroprevalence to SARS-CoV-2 antibodies in the two hospitals was 30.76%. It was 28.2% in hospital ‘A’ and 32.7% in hospital ‘B’ (p=0.129). The seroprevalence in HCWs having direct contact with COVID-19 patients was higher (33.1%) in non-COVID-19 receiving hospital versus 23.8% in COVID-19 receiving hospital (p=0.034). Seroprevalence was highest among administrative staff (44.0%), followed by nurses (30.8%), residents (19.8%), and consultants (17.8%) (p=0.001). As compared to consultants, the administrative and nursing staff were 3.398 and 3.116 times more likely to have positive antibodies, respectively. There were no significant differences in the seroprevalence between the respective categories of staff of the two hospitals. Conclusions The non-COVID-19 receiving hospital had a higher proportion of seropositive HCWs than the COVID-19 receiving hospital. The HCWs in the non-COVID-19 receiving hospital who had direct contact with patients had significantly higher seroprevalence. Seroprevalence was highest for administrative staff followed by nursing staff, residents, and consultants. Regardless of the COVID-19 status of the healthcare facility, all HCWs shall be trained on, and consistently follow, the proper protocols for donning and doffing of personal protective equipment (PPE). Cureus 2020-11-09 /pmc/articles/PMC7654561/ /pubmed/33194502 http://dx.doi.org/10.7759/cureus.11389 Text en Copyright © 2020, Noor et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Preventive Medicine Noor, Mohammad Haq, Mohsina Ul Haq, Najib Amin, Said Rahim, Fawad Bahadur, Sher Ullah, Raza Khan, Muhammad Asif Mahmood, Afsheen Gul, Huma Does Working in a COVID-19 Receiving Health Facility Influence Seroprevalence to SARS-CoV-2? |
title | Does Working in a COVID-19 Receiving Health Facility Influence Seroprevalence to SARS-CoV-2? |
title_full | Does Working in a COVID-19 Receiving Health Facility Influence Seroprevalence to SARS-CoV-2? |
title_fullStr | Does Working in a COVID-19 Receiving Health Facility Influence Seroprevalence to SARS-CoV-2? |
title_full_unstemmed | Does Working in a COVID-19 Receiving Health Facility Influence Seroprevalence to SARS-CoV-2? |
title_short | Does Working in a COVID-19 Receiving Health Facility Influence Seroprevalence to SARS-CoV-2? |
title_sort | does working in a covid-19 receiving health facility influence seroprevalence to sars-cov-2? |
topic | Preventive Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654561/ https://www.ncbi.nlm.nih.gov/pubmed/33194502 http://dx.doi.org/10.7759/cureus.11389 |
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