Hematological parameters to predict post-COVID-19 immune response among vaccinated and nonvaccinated individuals: a retrospective cross-sectional study
- PMID: 38846900
- PMCID: PMC11152799
- DOI: 10.1097/MS9.0000000000002064
Hematological parameters to predict post-COVID-19 immune response among vaccinated and nonvaccinated individuals: a retrospective cross-sectional study
Abstract
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.
Keywords: COVID-19; antibodies; full blood count; hematological parameters; immunity.
Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.
Conflict of interest statement
There is no conflicts of interest to declare.Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.
References
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- World Health Organization . Transmission of SARS-CoV-2: implications for infection prevention precautions: scientific brief 09 July 2020. World Health Organization; 2020.
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