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SARS-CoV-2 serological testing changes disease management in a PCR-negative patient

Since the beginning of the COVID-19 pandemic, healthcare providers worldwide have faced many obstacles in the diagnostic evaluation of patients for severe acute respiratory syndrome coronavirus 2, the causative virus. Even with the application of statistical inference by Bayes’ theorem to estimate t...

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Detalles Bibliográficos
Autores principales: Knight, Dacre, Irizarry-Alvarado, Joan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418774/
https://www.ncbi.nlm.nih.gov/pubmed/32784236
http://dx.doi.org/10.1136/bcr-2020-237239
Descripción
Sumario:Since the beginning of the COVID-19 pandemic, healthcare providers worldwide have faced many obstacles in the diagnostic evaluation of patients for severe acute respiratory syndrome coronavirus 2, the causative virus. Even with the application of statistical inference by Bayes’ theorem to estimate the probability of a diagnosis, with and without testing capabilities, some cases may still carry a degree of uncertainty. This has important implications for limiting the spread of disease. The basis for isolation and quarantine is a known diagnosis. This case is an example of a diagnostic conundrum that required more thorough use of testing methods, particularly serological testing, to guide the isolation recommendations for a patient with COVID-19. This will be helpful to other diagnosticians by providing an example of how serological findings may be effectively applied in the course of individual COVID-19 management.