SARS-CoV-2 rapid antigen testing in the healthcare sector: A clinical prediction model for identifying false negative results

Objectives: SARS-CoV-2 rapid antigen tests (RAT) provide fast identification of infectious patients when RT-PCR results are not immediately available. We aimed to develop a prediction model for identification of false negative (FN) RAT results. Methods: In this multicenter trial, patients with docum...

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Autores principales:	Johannes Leiner, MD, Vincent Pellissier, PhD, Anne Nitsche, PhD, Sebastian König, MD, Sven Hohenstein, PhD, Irit Nachtigall, MD, Gerhard Hindricks, MD, Christoph Kutschker, MD, Boris Rolinski, MD, Julian Gebauer, MD, Anja Prantz, MD, Joerg Schubert, MDPhD, Joerg Patzschke, MD, Andreas Bollmann, MDPhD, Martin Wolz, MD
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	SARS-CoV-2 COVID-19 rapid antigen test false negative prediction models healthcare Infectious and parasitic diseases RC109-216
Acceso en línea:	https://doaj.org/article/2706f93753074671a11b974f47777c15
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SARS-CoV-2 rapid antigen testing in the healthcare sector: A clinical prediction model for identifying false negative results

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