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Correlation of SARS-CoV-2 Viral Load in Different Population Subsets: A Study from a Tertiary Care North Indian Hospital

BACKGROUND: The correlation of SARS-CoV-2 viral load with disease severity in different population subsets is still elusive. There is a scarcity of literature regarding this aspect in Indian Population. AIM: To study retrospectively the risk factors and the role of viral load with disease severity a...

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Autores principales: Kanta, Poonam, Singh, Shashank, Chhikara, Komal, Goyal, Kapil, Ghosh, Arnab, Verma, Vikas, Suri, Vikas, Singh, Mini Pritam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360218/
https://www.ncbi.nlm.nih.gov/pubmed/34458122
http://dx.doi.org/10.4103/ijabmr.ijabmr_61_21
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author Kanta, Poonam
Singh, Shashank
Chhikara, Komal
Goyal, Kapil
Ghosh, Arnab
Verma, Vikas
Suri, Vikas
Singh, Mini Pritam
author_facet Kanta, Poonam
Singh, Shashank
Chhikara, Komal
Goyal, Kapil
Ghosh, Arnab
Verma, Vikas
Suri, Vikas
Singh, Mini Pritam
author_sort Kanta, Poonam
collection PubMed
description BACKGROUND: The correlation of SARS-CoV-2 viral load with disease severity in different population subsets is still elusive. There is a scarcity of literature regarding this aspect in Indian Population. AIM: To study retrospectively the risk factors and the role of viral load with disease severity among different age groups of North Indian population. METHODS: Here we quantified the viral load of 239 positive participants and collected data retrospectively from April 2020 to May 2020 and categorised the patients as per disease severity and population subsets. RESULTS: Asymptomatic patients were found to have higher viral load than the symptomatic patients, though the difference was not found to be statistically significant. The logistic regression analysis showed that contact with laboratory confirmed cases, SARI and ILI were independent risk factors for acquiring COVID-19 infection. CONCLUSION: SARS-CoV-2 viral load is not significantly associated with disease severity among different population subsets. However, there is a need to carry out more studies with a larger number of patients to validate and confirm the above findings.
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spelling pubmed-83602182021-08-27 Correlation of SARS-CoV-2 Viral Load in Different Population Subsets: A Study from a Tertiary Care North Indian Hospital Kanta, Poonam Singh, Shashank Chhikara, Komal Goyal, Kapil Ghosh, Arnab Verma, Vikas Suri, Vikas Singh, Mini Pritam Int J Appl Basic Med Res Original Article BACKGROUND: The correlation of SARS-CoV-2 viral load with disease severity in different population subsets is still elusive. There is a scarcity of literature regarding this aspect in Indian Population. AIM: To study retrospectively the risk factors and the role of viral load with disease severity among different age groups of North Indian population. METHODS: Here we quantified the viral load of 239 positive participants and collected data retrospectively from April 2020 to May 2020 and categorised the patients as per disease severity and population subsets. RESULTS: Asymptomatic patients were found to have higher viral load than the symptomatic patients, though the difference was not found to be statistically significant. The logistic regression analysis showed that contact with laboratory confirmed cases, SARI and ILI were independent risk factors for acquiring COVID-19 infection. CONCLUSION: SARS-CoV-2 viral load is not significantly associated with disease severity among different population subsets. However, there is a need to carry out more studies with a larger number of patients to validate and confirm the above findings. Wolters Kluwer - Medknow 2021 2021-07-19 /pmc/articles/PMC8360218/ /pubmed/34458122 http://dx.doi.org/10.4103/ijabmr.ijabmr_61_21 Text en Copyright: © 2021 International Journal of Applied and Basic Medical Research https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Kanta, Poonam
Singh, Shashank
Chhikara, Komal
Goyal, Kapil
Ghosh, Arnab
Verma, Vikas
Suri, Vikas
Singh, Mini Pritam
Correlation of SARS-CoV-2 Viral Load in Different Population Subsets: A Study from a Tertiary Care North Indian Hospital
title Correlation of SARS-CoV-2 Viral Load in Different Population Subsets: A Study from a Tertiary Care North Indian Hospital
title_full Correlation of SARS-CoV-2 Viral Load in Different Population Subsets: A Study from a Tertiary Care North Indian Hospital
title_fullStr Correlation of SARS-CoV-2 Viral Load in Different Population Subsets: A Study from a Tertiary Care North Indian Hospital
title_full_unstemmed Correlation of SARS-CoV-2 Viral Load in Different Population Subsets: A Study from a Tertiary Care North Indian Hospital
title_short Correlation of SARS-CoV-2 Viral Load in Different Population Subsets: A Study from a Tertiary Care North Indian Hospital
title_sort correlation of sars-cov-2 viral load in different population subsets: a study from a tertiary care north indian hospital
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360218/
https://www.ncbi.nlm.nih.gov/pubmed/34458122
http://dx.doi.org/10.4103/ijabmr.ijabmr_61_21
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