Your browser doesn't support javascript.
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.
  • Bauer W; Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Emergency Medicine, Berlin, Germany.
  • Gläser S; Klinik für Innere Medizin-Pneumologie, Vivantes Klinikum Spandau und Klinik für Innere Medizin-Pneumologie und Infektiologie, Vivantes Klinikum Neukölln, Berlin, Germany.
  • Thiemig D; Klinik für Innere Medizin-Pneumologie und Infektiologie, Vivantes Klinikum Neukölln, Berlin, Germany.
  • Wanner K; Klinik für Innere Medizin-Pneumologie und Infektiologie, Vivantes Klinikum Neukölln, Berlin, Germany.
  • Peric A; Klinik für Innere Medizin-Pneumologie, Vivantes Klinikum Spandau und Klinik für Innere Medizin-Pneumologie und Infektiologie, Vivantes Klinikum Neukölln, Berlin, Germany.
  • Behrens S; Klinik für Innere Medizin-Pneumologie und Infektiologie, Vivantes Klinikum im Friedrichshain, Berlin, Germany.
  • Bialas J; Klinik für Innere Medizin-Kardiologie, Vivantes-Netzwerk für Gesundheit/Vivantes Humboldt-Klinikum and Klinik für Innere Medizin-Kardiologie und konservative Intensivmedizin, Vivantes-Netzwerk für Gesundheit/Vivantes Klinikum Spandau, Berlin, Germany.
  • Behrens A; Labor Berlin-Charité Vivantes Services GmbH, Berlin, Germany.
  • Galtung N; Klinik für Innere Medizin, Gastroenterologie und Pneumologie, Evangelische Elisabeth Klinik Krankenhausbetriebs gGmbH, Berlin, Germany.
  • Liesenfeld O; Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Emergency Medicine, Berlin, Germany.
  • Sun L; Inflammatix Inc, Burlingame, California, USA.
  • May L; Inflammatix Inc, Burlingame, California, USA.
  • Mace S; Department of Emergency Medicine, University of California, Davis School of Medicine, Sacramento, California, USA.
  • Ott S; Department of Emergency Medicine, Cleveland Clinic, Cleveland, Ohio, USA.
  • Vesenbeckh S; Department of Pulmonary Medicine, St Claraspital AG, Basel, Switzerland.
Open Forum Infect Dis ; 9(9): ofac437, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-2037501
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Open Forum Infect Dis Year: 2022 Document Type: Article Affiliation country: Ofid

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Open Forum Infect Dis Year: 2022 Document Type: Article Affiliation country: Ofid