Determining coronavirus disease 2019 (COVID-19) community incidence threshold for preoperative testing

Preprocedural testing for severe acute respiratory coronavirus virus 2 (SARS-CoV-2) is frequently used to reduce perioperative morbidity and mortality during the pandemic. Such testing is resource intensive, and the relative benefits depend on local epidemiology. We propose a threshold of 20 per 100...

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Autores principales: Zhou, Judy, Wituik, Christopher, Al-Salem, Mohammed, Aljarbou, Alanoud, Dekker, Jonah, Karimi, Saba, Mertz, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Concise Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671915/
https://www.ncbi.nlm.nih.gov/pubmed/35968708
http://dx.doi.org/10.1017/ice.2022.206
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author Zhou, Judy
Wituik, Christopher
Al-Salem, Mohammed
Aljarbou, Alanoud
Dekker, Jonah
Karimi, Saba
Mertz, Dominik
author_facet Zhou, Judy
Wituik, Christopher
Al-Salem, Mohammed
Aljarbou, Alanoud
Dekker, Jonah
Karimi, Saba
Mertz, Dominik
author_sort Zhou, Judy
collection PubMed
description Preprocedural testing for severe acute respiratory coronavirus virus 2 (SARS-CoV-2) is frequently used to reduce perioperative morbidity and mortality during the pandemic. Such testing is resource intensive, and the relative benefits depend on local epidemiology. We propose a threshold of 20 per 100,000 unlinked cases to activate such testing to optimize the yield and positive predictive value.
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spelling pubmed-96719152022-11-18 Determining coronavirus disease 2019 (COVID-19) community incidence threshold for preoperative testing Zhou, Judy Wituik, Christopher Al-Salem, Mohammed Aljarbou, Alanoud Dekker, Jonah Karimi, Saba Mertz, Dominik Infect Control Hosp Epidemiol Concise Communication Preprocedural testing for severe acute respiratory coronavirus virus 2 (SARS-CoV-2) is frequently used to reduce perioperative morbidity and mortality during the pandemic. Such testing is resource intensive, and the relative benefits depend on local epidemiology. We propose a threshold of 20 per 100,000 unlinked cases to activate such testing to optimize the yield and positive predictive value. Cambridge University Press 2022-08-15 /pmc/articles/PMC9671915/ /pubmed/35968708 http://dx.doi.org/10.1017/ice.2022.206 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Concise Communication
Zhou, Judy
Wituik, Christopher
Al-Salem, Mohammed
Aljarbou, Alanoud
Dekker, Jonah
Karimi, Saba
Mertz, Dominik
Determining coronavirus disease 2019 (COVID-19) community incidence threshold for preoperative testing
title Determining coronavirus disease 2019 (COVID-19) community incidence threshold for preoperative testing
title_full Determining coronavirus disease 2019 (COVID-19) community incidence threshold for preoperative testing
title_fullStr Determining coronavirus disease 2019 (COVID-19) community incidence threshold for preoperative testing
title_full_unstemmed Determining coronavirus disease 2019 (COVID-19) community incidence threshold for preoperative testing
title_short Determining coronavirus disease 2019 (COVID-19) community incidence threshold for preoperative testing
title_sort determining coronavirus disease 2019 (covid-19) community incidence threshold for preoperative testing
topic Concise Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671915/
https://www.ncbi.nlm.nih.gov/pubmed/35968708
http://dx.doi.org/10.1017/ice.2022.206
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