Hematological parameters to predict post-COVID-19 immune response among vaccinated and non-vaccinated 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 COVID-19 among COVID -19 vaccinated and non-vaccinated individuals. Methods: A comparative cross-sectional study among 210 healthy individuals was conducted. All individuals were divided into three groups, i.e 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.