Misinterpretation of viral load in COVID-19 clinical outcomes.

Virus Res

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.

Published: April 2021

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881726PMC
http://dx.doi.org/10.1016/j.virusres.2021.198340DOI Listing

Publication Analysis

Top Keywords

viral load
20
clinical outcomes
8
nasopharyngeal swab
8
swab samples
8
viral
6
load
5
misinterpretation viral
4
load covid-19
4
covid-19 clinical
4
outcomes knowledge
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!