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Detection of Viral Infection and Bacterial Coinfection and Superinfection in Coronavirus Disease 2019 Patients Presenting to the Emergency Department Using the 29-mRNA Host Response Classifier IMX-BVN-3: A Multicenter Study

BACKGROUND: Identification of bacterial coinfection in patients with coronavirus disease 2019 (COVID-19) facilitates appropriate initiation or withholding of antibiotics. The Inflammatix Bacterial Viral Noninfected (IMX-BVN) classifier determines the likelihood of bacterial and viral infections. In...

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Autores principales: Bauer, Wolfgang, Gläser, Sven, Thiemig, Dorina, Wanner, Katrin, Peric, Alexander, Behrens, Steffen, Bialas, Johanna, Behrens, Angelika, Galtung, Noa, Liesenfeld, Oliver, Sun, Lisa, May, Larissa, Mace, Sharron, Ott, Sebastian, Vesenbeckh, Silvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452140/
https://www.ncbi.nlm.nih.gov/pubmed/36111173
http://dx.doi.org/10.1093/ofid/ofac437
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author Bauer, Wolfgang
Gläser, Sven
Thiemig, Dorina
Wanner, Katrin
Peric, Alexander
Behrens, Steffen
Bialas, Johanna
Behrens, Angelika
Galtung, Noa
Liesenfeld, Oliver
Sun, Lisa
May, Larissa
Mace, Sharron
Ott, Sebastian
Vesenbeckh, Silvan
author_facet Bauer, Wolfgang
Gläser, Sven
Thiemig, Dorina
Wanner, Katrin
Peric, Alexander
Behrens, Steffen
Bialas, Johanna
Behrens, Angelika
Galtung, Noa
Liesenfeld, Oliver
Sun, Lisa
May, Larissa
Mace, Sharron
Ott, Sebastian
Vesenbeckh, Silvan
author_sort Bauer, Wolfgang
collection PubMed
description BACKGROUND: Identification of bacterial coinfection in patients with coronavirus disease 2019 (COVID-19) facilitates appropriate initiation or withholding of antibiotics. The Inflammatix Bacterial Viral Noninfected (IMX-BVN) classifier determines the likelihood of bacterial and viral infections. In a multicenter study, we investigated whether IMX-BVN version 3 (IMX-BVN-3) identifies patients with COVID-19 and bacterial coinfections or superinfections. METHODS: Patients with polymerase chain reaction–confirmed COVID-19 were enrolled in Berlin, Germany; Basel, Switzerland; and Cleveland, Ohio upon emergency department or hospital admission. PAXgene Blood RNA was extracted and 29 host mRNAs were quantified. IMX-BVN-3 categorized patients into very unlikely, unlikely, possible, and very likely bacterial and viral interpretation bands. IMX-BVN-3 results were compared with clinically adjudicated infection status. RESULTS: IMX-BVN-3 categorized 102 of 111 (91.9%) COVID-19 patients into very likely or possible, 7 (6.3%) into unlikely, and 2 (1.8%) into very unlikely viral bands. Approximately 94% of patients had IMX-BVN-3 unlikely or very unlikely bacterial results. Among 7 (6.3%) patients with possible (n = 4) or very likely (n = 3) bacterial results, 6 (85.7%) had clinically adjudicated bacterial coinfection or superinfection. Overall, 19 of 111 subjects for whom adjudication was performed had a bacterial infection; 7 of these showed a very likely or likely bacterial result in IMX-BVN-3. CONCLUSIONS: IMX-BVN-3 identified COVID-19 patients as virally infected and identified bacterial coinfections and superinfections. Future studies will determine whether a point-of-care version of the classifier may improve the management of COVID-19 patients, including appropriate antibiotic use.
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spelling pubmed-94521402022-09-09 Detection of Viral Infection and Bacterial Coinfection and Superinfection in Coronavirus Disease 2019 Patients Presenting to the Emergency Department Using the 29-mRNA Host Response Classifier IMX-BVN-3: A Multicenter Study Bauer, Wolfgang Gläser, Sven Thiemig, Dorina Wanner, Katrin Peric, Alexander Behrens, Steffen Bialas, Johanna Behrens, Angelika Galtung, Noa Liesenfeld, Oliver Sun, Lisa May, Larissa Mace, Sharron Ott, Sebastian Vesenbeckh, Silvan Open Forum Infect Dis Major Article BACKGROUND: Identification of bacterial coinfection in patients with coronavirus disease 2019 (COVID-19) facilitates appropriate initiation or withholding of antibiotics. The Inflammatix Bacterial Viral Noninfected (IMX-BVN) classifier determines the likelihood of bacterial and viral infections. In a multicenter study, we investigated whether IMX-BVN version 3 (IMX-BVN-3) identifies patients with COVID-19 and bacterial coinfections or superinfections. METHODS: Patients with polymerase chain reaction–confirmed COVID-19 were enrolled in Berlin, Germany; Basel, Switzerland; and Cleveland, Ohio upon emergency department or hospital admission. PAXgene Blood RNA was extracted and 29 host mRNAs were quantified. IMX-BVN-3 categorized patients into very unlikely, unlikely, possible, and very likely bacterial and viral interpretation bands. IMX-BVN-3 results were compared with clinically adjudicated infection status. RESULTS: IMX-BVN-3 categorized 102 of 111 (91.9%) COVID-19 patients into very likely or possible, 7 (6.3%) into unlikely, and 2 (1.8%) into very unlikely viral bands. Approximately 94% of patients had IMX-BVN-3 unlikely or very unlikely bacterial results. Among 7 (6.3%) patients with possible (n = 4) or very likely (n = 3) bacterial results, 6 (85.7%) had clinically adjudicated bacterial coinfection or superinfection. Overall, 19 of 111 subjects for whom adjudication was performed had a bacterial infection; 7 of these showed a very likely or likely bacterial result in IMX-BVN-3. CONCLUSIONS: IMX-BVN-3 identified COVID-19 patients as virally infected and identified bacterial coinfections and superinfections. Future studies will determine whether a point-of-care version of the classifier may improve the management of COVID-19 patients, including appropriate antibiotic use. Oxford University Press 2022-08-25 /pmc/articles/PMC9452140/ /pubmed/36111173 http://dx.doi.org/10.1093/ofid/ofac437 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Major Article
Bauer, Wolfgang
Gläser, Sven
Thiemig, Dorina
Wanner, Katrin
Peric, Alexander
Behrens, Steffen
Bialas, Johanna
Behrens, Angelika
Galtung, Noa
Liesenfeld, Oliver
Sun, Lisa
May, Larissa
Mace, Sharron
Ott, Sebastian
Vesenbeckh, Silvan
Detection of Viral Infection and Bacterial Coinfection and Superinfection in Coronavirus Disease 2019 Patients Presenting to the Emergency Department Using the 29-mRNA Host Response Classifier IMX-BVN-3: A Multicenter Study
title Detection of Viral Infection and Bacterial Coinfection and Superinfection in Coronavirus Disease 2019 Patients Presenting to the Emergency Department Using the 29-mRNA Host Response Classifier IMX-BVN-3: A Multicenter Study
title_full Detection of Viral Infection and Bacterial Coinfection and Superinfection in Coronavirus Disease 2019 Patients Presenting to the Emergency Department Using the 29-mRNA Host Response Classifier IMX-BVN-3: A Multicenter Study
title_fullStr Detection of Viral Infection and Bacterial Coinfection and Superinfection in Coronavirus Disease 2019 Patients Presenting to the Emergency Department Using the 29-mRNA Host Response Classifier IMX-BVN-3: A Multicenter Study
title_full_unstemmed Detection of Viral Infection and Bacterial Coinfection and Superinfection in Coronavirus Disease 2019 Patients Presenting to the Emergency Department Using the 29-mRNA Host Response Classifier IMX-BVN-3: A Multicenter Study
title_short Detection of Viral Infection and Bacterial Coinfection and Superinfection in Coronavirus Disease 2019 Patients Presenting to the Emergency Department Using the 29-mRNA Host Response Classifier IMX-BVN-3: A Multicenter Study
title_sort detection of viral infection and bacterial coinfection and superinfection in coronavirus disease 2019 patients presenting to the emergency department using the 29-mrna host response classifier imx-bvn-3: a multicenter study
topic Major Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452140/
https://www.ncbi.nlm.nih.gov/pubmed/36111173
http://dx.doi.org/10.1093/ofid/ofac437
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