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Hematological parameters to predict post-COVID-19 immune response among vaccinated and nonvaccinated individuals: a
Qaisar A Khan1, Tahira Atta2, Tamara Tango3
1Khyber Teaching Hospital MTI KTH, Peshawar.
Insights
Hematological parameters in healthy individuals can predict COVID-19 immune status. This finding applies to both vaccinated and unvaccinated individuals, offering insights into immune response.
Area of Science:
- Hematology
- Immunology
- Infectious Diseases
Background:
- Investigating hematological parameters to assess immune status against coronavirus disease 2019 (COVID-19).
- Comparing immune status in COVID-19 vaccinated and unvaccinated individuals.
Purpose of the Study:
- To determine if changes in hematological parameters can predict COVID-19 immune status.
- To evaluate the predictive value of hematological parameters in vaccinated and unvaccinated populations.
Main Methods:
- A comparative cross-sectional study involving 210 healthy individuals.
- Participants categorized into IgG positive, IgG negative, and IgG and IgM positive groups via ELISA.
- Statistical analysis performed using SPSS version 25.
Main Results:
- Statistically significant differences observed in hemoglobin (Hb), hematocrit (Hct), mean corpuscular hemoglobin concentration (MCHC), red blood cells (RBC), RDW-CV, lymphocyte, neutrophil, eosinophil, and basophil counts across the groups.
- 52.8% of participants with positive IgG antibodies had no vaccination or prior COVID-19 infection history.
- Hematological parameters showed significant variations between immune and non-immune groups.
Conclusions:
- Hematological parameters exhibit statistically significant differences between immune and non-immune individuals.
- These parameters can effectively predict COVID-19 immune status.
Background:
This study finds the changes in the hematological parameters of healthy individuals to predict the immune status against coronavirus disease 2019 (COVID-19) among COVID -19 vaccinated and nonvaccinated individuals.
Methods:
A comparative cross-sectional study among 210 healthy individuals was conducted. All individuals were divided into three groups, that is, IgG positive, IgG negative, and IgG and IgM positive, based on ELISA. Data analysis was done using SPSS version 25 for Windows.
Results:
A statistically significant effect was found among the three groups in terms of mean levels of hemoglobin (Hb), hematocrit (Hct), mean corpuscular hemoglobin concentration (MCHC), red blood cells (RBC), RDW-CV, lymphocyte, neutrophil, eosinophils, and basophil count. The study also showed that 52.8% (n=74) had neither taken vaccination nor had any history of previous COVID-19 infection but were IgG antibody positive.
Conclusion:
There was a statistically significant difference among hematological parameters between immune and nonimmune groups, and it can predict the COVID-19 immune status.
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