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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...

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Detalles Bibliográficos
Autores principales: 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.
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
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
Descripción
Sumario: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.