Hematological parameters to predict post-COVID-19 immune response among vaccinated and nonvaccinated individuals: a retrospective cross-sectional study.
COVID-19
antibodies
full blood count
hematological parameters
immunity
Journal
Annals of medicine and surgery (2012)
ISSN: 2049-0801
Titre abrégé: Ann Med Surg (Lond)
Pays: England
ID NLM: 101616869
Informations de publication
Date de publication:
Jun 2024
Jun 2024
Historique:
received:
22
12
2023
accepted:
04
04
2024
medline:
7
6
2024
pubmed:
7
6
2024
entrez:
7
6
2024
Statut:
epublish
Résumé
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. 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. 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% ( There was a statistically significant difference among hematological parameters between immune and nonimmune groups, and it can predict the COVID-19 immune status.
Sections du résumé
Background
UNASSIGNED
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
UNASSIGNED
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
UNASSIGNED
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% (
Conclusion
UNASSIGNED
There was a statistically significant difference among hematological parameters between immune and nonimmune groups, and it can predict the COVID-19 immune status.
Identifiants
pubmed: 38846900
doi: 10.1097/MS9.0000000000002064
pii: AMSU-D-23-02722
pmc: PMC11152799
doi:
Types de publication
Journal Article
Langues
eng
Pagination
3330-3336Informations de copyright
Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
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.