Blood type susceptibility to SARS-CoV-2 at a tertiary hospital in Accra, Ghana
Bibliographic record
Abstract
Pandemics from viral outbreaks, such as that caused by SARS-CoV-2, have significant impacts worldwide. The factors that underlie differential susceptibility to severe COVID-19 outcomes are not fully understood. The role of the ABO blood group in the outcome of SARS-CoV-2 infections remains to be clarified in different populations. This study described the SARS-CoV-2 seroprevalence and examined the association of the ABO blood group with COVID-19 disease among apparently healthy and COVID-19 patients at the Korle Bu Teaching Hospital, Accra. The study involved 277 participants comprising 200 healthy individuals and 77 PCR-confirmed COVID-19 patients with mild or severe symptoms. Anti-SARS-CoV-2 antibody assay (IgM/IgG) was performed, and ABO blood grouping was done on plasma samples using the reverse blood grouping method. Statistical analyses were performed in R for the association of socio-demographic parameters and ABO blood groupings of participants with SARS-CoV-2 infection status. The total SARS-CoV-2 seropositivity was 61.4% (157/277). Most of the participants (245/277, 88.4%) were unvaccinated. Of the 245 unvaccinated individuals, 127 (51.8%) were IgG reactive. A significant association was observed between ABO blood group and COVID-19 disease status. Antigen A participants had a higher probability of symptomatic infection than non-antigen A individuals. Blood group O appeared more protective than other blood types among the participants. Seropositivity was high among the participants studied-vaccinated and unvaccinated. Blood group A is associated with an increased risk of COVID-19, whereas blood group O appears protective. Further studies involving larger sample sizes are required to confirm these findings. IMPORTANCE: The transmissibility and virulence of SARS-CoV-2 and the severity of COVID-19 disease appeared to vary across nations and among populations. However, the factors that account for the differential susceptibility and COVID-19 outcomes are not well understood. The roles of host immune defense mechanisms and genetic makeup have been implicated. This study investigated the seroprevalence of anti-SARS-CoV-2 antibodies (IgM and IgG) in apparently healthy individuals and COVID-19 patients; using a reliable but inexpensive blood group typing based on direct hemagglutination technique and rigorous statistical analyses, we determined the association of ABO blood groups with COVID-19 disease. We found appreciably high seropositivity among the participants studied-both vaccinated and unvaccinated-and showed that blood type significantly influences SARS-CoV-2 infection and COVID-19 severity, with blood group A associated with severe COVID-19 disease, whereas blood group O appears protective. Further studies involving a larger sample size are required to confirm these findings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".