Misinterpretation of viral load in COVID-19 clinical outcomes.


Journal

Virus research
ISSN: 1872-7492
Titre abrégé: Virus Res
Pays: Netherlands
ID NLM: 8410979

Informations de publication

Date de publication:
15 04 2021
Historique:
received: 08 10 2020
revised: 08 02 2021
accepted: 09 02 2021
pubmed: 17 2 2021
medline: 31 3 2021
entrez: 16 2 2021
Statut: ppublish

Résumé

Knowledge of viral load is essential to formulate strategies for antiviral treatment, vaccination, and epidemiological control of COVID-19. Moreover, identification of patients with high viral loads can also be useful to understand risk factors such as age, comorbidities, severity of symptoms and hypoxia, to decide on the need for hospitalization. Several ongoing studies are analyzing viral load in different types of samples and evaluating its relationship with clinical outcomes and viral transmission pathways. However, in a great number of emerging studies, cycle threshold (Ct) values alone are often used as viral load indicators, which may be a mistake. In this study, we compared tracheal aspirate with nasopharyngeal swab samples obtained from critically ill COVID-19 patients and here we report how the raw Ct can lead to misinterpretation of results. Furthermore, based on analysis of nasopharyngeal swab samples we propose a method to reduce evaluation errors that could occur from using raw Ct data. Based on these findings, we show the impact that normalization of Ct values has on interpretation of SARS-CoV-2 viral load from different biological samples.

Identifiants

pubmed: 33592214
pii: S0168-1702(21)00047-2
doi: 10.1016/j.virusres.2021.198340
pmc: PMC7881726
pii:
doi:

Substances chimiques

RNA, Viral 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

198340

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

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Auteurs

Renan Lyra Miranda (RL)

Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, RJ, Brazil.

Alexandro Guterres (A)

Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, RJ, Brazil. Electronic address: guterres_rj@yahoo.com.br.

Carlos Henrique de Azeredo Lima (CH)

Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, RJ, Brazil.

Paulo Niemeyer Filho (PN)

Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, RJ, Brazil.

Mônica R Gadelha (MR)

Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, RJ, Brazil; Neuroendocrinology Research Center, Endocrinology Division, - Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.

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Classifications MeSH