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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.
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.
  • Vacca ML; Director of Infection Prevention, Thomas Jefferson University Hospitals, Philadelphia, PA. Electronic address: maria.vacca@jefferson.edu.
  • Vyas N; Clinical Pharmacist Infectious Diseases, Jefferson Health New Jersey, Stratford, NJ.
  • Banks J; Division of Biostatistics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
  • Joyce E; AVP Surgical Services, Jefferson Health New Jersey, Sewell, NJ.
  • Hou C; Department of Infectious Diseases, Jefferson Health New Jersey, Cherry Hill, NJ.
  • Leiby BE; Division of Biostatistics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
  • DeAngelo S; Department of Nursing, Jefferson Health New Jersey, Sewell, NJ.
  • Levin TP; Department of Infectious Diseases, Jefferson Health New Jersey, Sewell, NJ 08080.
  • Shingler-Nace A; VP Operations, Jefferson Health New Jersey, Sewell, NJ.
  • Mapp M; Director of Nursing, Women's and Children's Services, Jefferson Health New Jersey, Sewell, NJ.
  • Hiester A; Infection Preventionist, Jefferson Health New Jersey, Sewell, NJ.
  • Coughenour JH; Department of Nursing, Jefferson Health New Jersey, Sewell, NJ.
Am J Infect Control ; 50(6): 598-601, 2022 06.
Article in English | MEDLINE | ID: covidwho-1748316
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Female / Humans / Pregnancy Language: English Journal: Am J Infect Control Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Female / Humans / Pregnancy Language: English Journal: Am J Infect Control Year: 2022 Document Type: Article