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Adapting the Surveillance Platform for Enteric and Respiratory Infectious Organisms at United States Veterans Affairs Medical Centers (SUPERNOVA) for COVID-19 Among Hospitalized Adults: Surveillance Protocol

Introduction: Early in the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) rapidly initiated COVID-19 surveillance by leveraging existing hospital networks to assess disease burden among hospitalized inpatients and inform prevention efforts. Materials and Methods: The Surveil...

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Autores principales: Meites, Elissa, Bajema, Kristina L., Kambhampati, Anita, Prill, Mila, Marconi, Vincent C., Brown, Sheldon T., Rodriguez-Barradas, Maria C., Beenhouwer, David O., Holodniy, Mark, Lucero-Obusan, Cynthia, Cardemil, Cristina, Cates, Jordan, Surie, Diya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585926/
https://www.ncbi.nlm.nih.gov/pubmed/34778173
http://dx.doi.org/10.3389/fpubh.2021.739076
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author Meites, Elissa
Bajema, Kristina L.
Kambhampati, Anita
Prill, Mila
Marconi, Vincent C.
Brown, Sheldon T.
Rodriguez-Barradas, Maria C.
Beenhouwer, David O.
Holodniy, Mark
Lucero-Obusan, Cynthia
Cardemil, Cristina
Cates, Jordan
Surie, Diya
author_facet Meites, Elissa
Bajema, Kristina L.
Kambhampati, Anita
Prill, Mila
Marconi, Vincent C.
Brown, Sheldon T.
Rodriguez-Barradas, Maria C.
Beenhouwer, David O.
Holodniy, Mark
Lucero-Obusan, Cynthia
Cardemil, Cristina
Cates, Jordan
Surie, Diya
author_sort Meites, Elissa
collection PubMed
description Introduction: Early in the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) rapidly initiated COVID-19 surveillance by leveraging existing hospital networks to assess disease burden among hospitalized inpatients and inform prevention efforts. Materials and Methods: The Surveillance Platform for Enteric and Respiratory Infectious Organisms at Veterans Affairs Medical Centers (SUPERNOVA) is a network of five United States Veterans Affairs Medical Centers which serves nearly 400,000 Veterans annually and conducts laboratory-based passive and active monitoring for pathogens associated with acute gastroenteritis and acute respiratory illness among hospitalized Veterans. This paper presents surveillance methods for adapting the SUPERNOVA surveillance platform to prospectively evaluate COVID-19 epidemiology during a public health emergency, including detecting, characterizing, and monitoring patients with and without COVID-19 beginning in March 2020. To allow for case-control analyses, patients with COVID-19 and patients with non-COVID-19 acute respiratory illness were included. Results: SUPERNOVA included 1,235 participants with COVID-19 and 707 participants with other acute respiratory illnesses hospitalized during February through December 2020. Most participants were male (93.1%), with a median age of 70 years, and 45.8% non-Hispanic Black and 32.6% non-Hispanic White. Among those with COVID-19, 28.2% were transferred to an intensive care unit, 9.4% received invasive mechanical ventilation, and 13.9% died. Compared with controls, after adjusting for age, sex, and race/ethnicity, COVID-19 case-patients had significantly higher risk of mortality, respiratory failure, and invasive mechanical ventilation, and longer hospital stays. Discussion: Strengths of the SUPERNOVA platform for COVID-19 surveillance include the ability to collect and integrate multiple types of data, including clinical and illness outcome information, and SARS-CoV-2 laboratory test results from respiratory and serum specimens. Analysis of data from this platform also enables formal comparisons of participants with and without COVID-19. Surveillance data collected during a public health emergency from this key U.S. population of Veterans will be useful for epidemiologic investigations of COVID-19 spectrum of disease, underlying medical conditions, virus variants, and vaccine effectiveness, according to public health priorities and needs.
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spelling pubmed-85859262021-11-13 Adapting the Surveillance Platform for Enteric and Respiratory Infectious Organisms at United States Veterans Affairs Medical Centers (SUPERNOVA) for COVID-19 Among Hospitalized Adults: Surveillance Protocol Meites, Elissa Bajema, Kristina L. Kambhampati, Anita Prill, Mila Marconi, Vincent C. Brown, Sheldon T. Rodriguez-Barradas, Maria C. Beenhouwer, David O. Holodniy, Mark Lucero-Obusan, Cynthia Cardemil, Cristina Cates, Jordan Surie, Diya Front Public Health Public Health Introduction: Early in the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) rapidly initiated COVID-19 surveillance by leveraging existing hospital networks to assess disease burden among hospitalized inpatients and inform prevention efforts. Materials and Methods: The Surveillance Platform for Enteric and Respiratory Infectious Organisms at Veterans Affairs Medical Centers (SUPERNOVA) is a network of five United States Veterans Affairs Medical Centers which serves nearly 400,000 Veterans annually and conducts laboratory-based passive and active monitoring for pathogens associated with acute gastroenteritis and acute respiratory illness among hospitalized Veterans. This paper presents surveillance methods for adapting the SUPERNOVA surveillance platform to prospectively evaluate COVID-19 epidemiology during a public health emergency, including detecting, characterizing, and monitoring patients with and without COVID-19 beginning in March 2020. To allow for case-control analyses, patients with COVID-19 and patients with non-COVID-19 acute respiratory illness were included. Results: SUPERNOVA included 1,235 participants with COVID-19 and 707 participants with other acute respiratory illnesses hospitalized during February through December 2020. Most participants were male (93.1%), with a median age of 70 years, and 45.8% non-Hispanic Black and 32.6% non-Hispanic White. Among those with COVID-19, 28.2% were transferred to an intensive care unit, 9.4% received invasive mechanical ventilation, and 13.9% died. Compared with controls, after adjusting for age, sex, and race/ethnicity, COVID-19 case-patients had significantly higher risk of mortality, respiratory failure, and invasive mechanical ventilation, and longer hospital stays. Discussion: Strengths of the SUPERNOVA platform for COVID-19 surveillance include the ability to collect and integrate multiple types of data, including clinical and illness outcome information, and SARS-CoV-2 laboratory test results from respiratory and serum specimens. Analysis of data from this platform also enables formal comparisons of participants with and without COVID-19. Surveillance data collected during a public health emergency from this key U.S. population of Veterans will be useful for epidemiologic investigations of COVID-19 spectrum of disease, underlying medical conditions, virus variants, and vaccine effectiveness, according to public health priorities and needs. Frontiers Media S.A. 2021-10-29 /pmc/articles/PMC8585926/ /pubmed/34778173 http://dx.doi.org/10.3389/fpubh.2021.739076 Text en Copyright © 2021 Meites, Bajema, Kambhampati, Prill, Marconi, Brown, Rodriguez-Barradas, Beenhouwer, Holodniy, Lucero-Obusan, Cardemil, Cates, Surie and The SUPERNOVA COVID-19 Surveillance Group. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Meites, Elissa
Bajema, Kristina L.
Kambhampati, Anita
Prill, Mila
Marconi, Vincent C.
Brown, Sheldon T.
Rodriguez-Barradas, Maria C.
Beenhouwer, David O.
Holodniy, Mark
Lucero-Obusan, Cynthia
Cardemil, Cristina
Cates, Jordan
Surie, Diya
Adapting the Surveillance Platform for Enteric and Respiratory Infectious Organisms at United States Veterans Affairs Medical Centers (SUPERNOVA) for COVID-19 Among Hospitalized Adults: Surveillance Protocol
title Adapting the Surveillance Platform for Enteric and Respiratory Infectious Organisms at United States Veterans Affairs Medical Centers (SUPERNOVA) for COVID-19 Among Hospitalized Adults: Surveillance Protocol
title_full Adapting the Surveillance Platform for Enteric and Respiratory Infectious Organisms at United States Veterans Affairs Medical Centers (SUPERNOVA) for COVID-19 Among Hospitalized Adults: Surveillance Protocol
title_fullStr Adapting the Surveillance Platform for Enteric and Respiratory Infectious Organisms at United States Veterans Affairs Medical Centers (SUPERNOVA) for COVID-19 Among Hospitalized Adults: Surveillance Protocol
title_full_unstemmed Adapting the Surveillance Platform for Enteric and Respiratory Infectious Organisms at United States Veterans Affairs Medical Centers (SUPERNOVA) for COVID-19 Among Hospitalized Adults: Surveillance Protocol
title_short Adapting the Surveillance Platform for Enteric and Respiratory Infectious Organisms at United States Veterans Affairs Medical Centers (SUPERNOVA) for COVID-19 Among Hospitalized Adults: Surveillance Protocol
title_sort adapting the surveillance platform for enteric and respiratory infectious organisms at united states veterans affairs medical centers (supernova) for covid-19 among hospitalized adults: surveillance protocol
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585926/
https://www.ncbi.nlm.nih.gov/pubmed/34778173
http://dx.doi.org/10.3389/fpubh.2021.739076
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