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Analysis of blood type for SARS-CoV-2 and correlation for disease acquisition in various sociodemographic groups including women of childbearing age
BACKGROUND: Multiple studies have occurred to determine if a patient's blood type, Rhesus factor (Rh), and sociodemographic attributes contribute to contracting SARS-CoV-2. True association remains unknown. METHODS: Inclusion criteria included in-patients who were tested for SARS-CoV-2 with blo...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Inc. on behalf of Association for Professionals in Infection Control and Epidemiology, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930776/ https://www.ncbi.nlm.nih.gov/pubmed/35307471 http://dx.doi.org/10.1016/j.ajic.2022.03.012 |
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author | Vacca, Maria L. Vyas, Nikunj Banks, Joshua Joyce, Elaine Hou, Cindy Leiby, Benjamin E. DeAngelo, Stefanie Levin, Todd P. Shingler-Nace, Autum Mapp, Marilyn Hiester, Ashlee Coughenour, Jonathan H. |
author_facet | Vacca, Maria L. Vyas, Nikunj Banks, Joshua Joyce, Elaine Hou, Cindy Leiby, Benjamin E. DeAngelo, Stefanie Levin, Todd P. Shingler-Nace, Autum Mapp, Marilyn Hiester, Ashlee Coughenour, Jonathan H. |
author_sort | Vacca, Maria L. |
collection | PubMed |
description | BACKGROUND: Multiple studies have occurred to determine if a patient's blood type, Rhesus factor (Rh), and sociodemographic attributes contribute to contracting SARS-CoV-2. True association remains unknown. METHODS: Inclusion criteria included in-patients who were tested for SARS-CoV-2 with blood type assessed. Study endpoints combined ABO, Rh and all-cause inpatient mortality (ACIM) with testing positivity. Pregnancy status was one of several secondary endpoints evaluated. A logistic regression analysis was used to estimate association. RESULTS: Of the 27,662 patients who met inclusion criteria, Type A blood was associated with increased positivity [1.01 (1.0-1.21), P = .03]. Type B [1.10 (0.99-1.23), P = .08] and AB [0.98 (0.81-1.19), P = .84] showed no association. When evaluating ACIM, type A [1.18 (0.91-1.52), P = .22], B [1.13 (0.82- 1.56), P = .480], and AB [1.06 (0.62-1.81), P = .839] were not associated with increased mortality. The female subgroup was less likely to test positive [0.88 (0.82-0.986), P = .002]. Black patients demonstrated a higher likelihood of positivity when compared to White [1.96 (1.79-2.14), P < .001]. Non-pregnant women exhibited a 2.5 times greater likelihood of testing positive [2.49 (2.04-3.04), P < .001]. CONCLUSIONS: This study confirms results of previous research which showed SARS-Co-V-2 positivity related to blood type. It also confirms more recent research demonstrating inequities related to acquisition of SARS-CoV-2 for certain sociodemographic groups. Larger studies are warranted to confirm and further explore novel pregnancy findings. |
format | Online Article Text |
id | pubmed-8930776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier Inc. on behalf of Association for Professionals in Infection Control and Epidemiology, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89307762022-03-18 Analysis of blood type for SARS-CoV-2 and correlation for disease acquisition in various sociodemographic groups including women of childbearing age Vacca, Maria L. Vyas, Nikunj Banks, Joshua Joyce, Elaine Hou, Cindy Leiby, Benjamin E. DeAngelo, Stefanie Levin, Todd P. Shingler-Nace, Autum Mapp, Marilyn Hiester, Ashlee Coughenour, Jonathan H. Am J Infect Control Major Article BACKGROUND: Multiple studies have occurred to determine if a patient's blood type, Rhesus factor (Rh), and sociodemographic attributes contribute to contracting SARS-CoV-2. True association remains unknown. METHODS: Inclusion criteria included in-patients who were tested for SARS-CoV-2 with blood type assessed. Study endpoints combined ABO, Rh and all-cause inpatient mortality (ACIM) with testing positivity. Pregnancy status was one of several secondary endpoints evaluated. A logistic regression analysis was used to estimate association. RESULTS: Of the 27,662 patients who met inclusion criteria, Type A blood was associated with increased positivity [1.01 (1.0-1.21), P = .03]. Type B [1.10 (0.99-1.23), P = .08] and AB [0.98 (0.81-1.19), P = .84] showed no association. When evaluating ACIM, type A [1.18 (0.91-1.52), P = .22], B [1.13 (0.82- 1.56), P = .480], and AB [1.06 (0.62-1.81), P = .839] were not associated with increased mortality. The female subgroup was less likely to test positive [0.88 (0.82-0.986), P = .002]. Black patients demonstrated a higher likelihood of positivity when compared to White [1.96 (1.79-2.14), P < .001]. Non-pregnant women exhibited a 2.5 times greater likelihood of testing positive [2.49 (2.04-3.04), P < .001]. CONCLUSIONS: This study confirms results of previous research which showed SARS-Co-V-2 positivity related to blood type. It also confirms more recent research demonstrating inequities related to acquisition of SARS-CoV-2 for certain sociodemographic groups. Larger studies are warranted to confirm and further explore novel pregnancy findings. The Author(s). Published by Elsevier Inc. on behalf of Association for Professionals in Infection Control and Epidemiology, Inc. 2022-06 2022-03-18 /pmc/articles/PMC8930776/ /pubmed/35307471 http://dx.doi.org/10.1016/j.ajic.2022.03.012 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Major Article Vacca, Maria L. Vyas, Nikunj Banks, Joshua Joyce, Elaine Hou, Cindy Leiby, Benjamin E. DeAngelo, Stefanie Levin, Todd P. Shingler-Nace, Autum Mapp, Marilyn Hiester, Ashlee Coughenour, Jonathan H. Analysis of blood type for SARS-CoV-2 and correlation for disease acquisition in various sociodemographic groups including women of childbearing age |
title | Analysis of blood type for SARS-CoV-2 and correlation for disease acquisition in various sociodemographic groups including women of childbearing age |
title_full | Analysis of blood type for SARS-CoV-2 and correlation for disease acquisition in various sociodemographic groups including women of childbearing age |
title_fullStr | Analysis of blood type for SARS-CoV-2 and correlation for disease acquisition in various sociodemographic groups including women of childbearing age |
title_full_unstemmed | Analysis of blood type for SARS-CoV-2 and correlation for disease acquisition in various sociodemographic groups including women of childbearing age |
title_short | Analysis of blood type for SARS-CoV-2 and correlation for disease acquisition in various sociodemographic groups including women of childbearing age |
title_sort | analysis of blood type for sars-cov-2 and correlation for disease acquisition in various sociodemographic groups including women of childbearing age |
topic | Major Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930776/ https://www.ncbi.nlm.nih.gov/pubmed/35307471 http://dx.doi.org/10.1016/j.ajic.2022.03.012 |
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