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A Correlation Study to Comprehend the SAR-CoV-2 Viral Load, Antiviral Antibody Titer, and Severity of COVID-19 Symptoms Post-infection Amongst the Vaccinated Population in Kamrup District of As sam, Northeast India.
- Source :
-
Endocrine, metabolic & immune disorders drug targets [Endocr Metab Immune Disord Drug Targets] 2024; Vol. 24 (12), pp. 1414-1421. - Publication Year :
- 2024
-
Abstract
- Background: As per the recommendation of the United States Food and Drug Administration, more research is needed to determine the antibody titer against COVID-19 vaccination.<br />Objective: The study aimed to understand the relationship between the antibody titer to the demographics, infection severity, and cycle threshold (CT) values of confirmed COVID-19 patients.<br />Methods: Initially, we obtained consent from 185 populations and included sixty RT-PCRpositive COVID-19 patients from Kamrup District in the Northeast State of Assam, India. The vaccination status was recorded and tested for the level of serum immunoglobulin (IgG). The CT values, gender, and clinical symptoms-based scoring (CSBS) correlated with their IgG value.<br />Results: Around 48% of participants gained an antibody titer more than the threshold value and showed CT values between 18-25. Moreover, the maximum distributed score above the average was found between the CT values 18-25.<br />Conclusion: The IgG titer value differs significantly amongst the vaccinated population, which may depend upon their genetic and demographic variability.<br /> (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)
- Subjects :
- Humans
India epidemiology
Male
Female
Adult
Middle Aged
Young Adult
Vaccination
Adolescent
Aged
COVID-19 immunology
COVID-19 prevention & control
COVID-19 epidemiology
COVID-19 blood
Antibodies, Viral blood
COVID-19 Vaccines immunology
SARS-CoV-2 immunology
Severity of Illness Index
Immunoglobulin G blood
Viral Load
Subjects
Details
- Language :
- English
- ISSN :
- 2212-3873
- Volume :
- 24
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Endocrine, metabolic & immune disorders drug targets
- Publication Type :
- Academic Journal
- Accession number :
- 38231052
- Full Text :
- https://doi.org/10.2174/0118715303281124231213110004