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Can I read Low frequency of community-acquired bacterial co-infection in patients hospitalized for COVID-19 based on clinical, radiological and microbiological criteria: a retrospective cohort study on EtoBox?

Low frequency of community-acquired bacterial co-infection in patients hospitalized for COVID-19 based on clinical, radiological and microbiological criteria: a retrospective cohort study by Sophie Coenen; Jara R. de la Court; David T. P. Buis; Lilian J. Meijboom; Rogier P. Schade; Caroline E. Visser; Reinier van Hest; Marianne Kuijvenhoven; Jan M. Prins; Suzan F. M. Nijman; Elske Sieswerda; Kim C. E. Sigaloff is a Medicine article available to read on EtoBox.

What is Low frequency of community-acquired bacterial co-infection in patients hospitalized for COVID-19 based on clinical, radiological and microbiological criteria: a retrospective cohort study about?

## Abstract ## Background We defined the frequency of respiratory community-acquired bacterial co-infection in patients with COVID-19, i.e. patients with a positive SARS-CoV-2 PCR or a COVID-19 Reporting and Data System (CO-RADS) score ≥ 4, based on a complete clinical assessment, including prior antibiotic use, clinical characteristics, inflammatory markers, chest computed tomography (CT) results and microbiological test results. ## Methods Our retrospective study was conducted within a cohort of prospectively included patients admitted for COVID-19 in our tertiary medical centres between 1-3-2020 and 1-6-2020. A multidisciplinary study team developed a diagnostic protocol to retrospectively categorize patients as unlikely, possible or probable bacterial co-infection based on clinical, radiological and microbiological parameters in the first 72 h of admission. Within the three categories, we summarized patient characteristics and antibiotic consumption. ## Results Among 281 included COVID-19 patients, bacterial co-infection was classified as unlikely in 233 patients (82.9%), possible in 35 patients (12.4%) and probable in 3 patients (1.1%). Ten patients (3.6%) could not be classif

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Author
Sophie Coenen; Jara R. de la Court; David T. P. Buis; Lilian J. Meijboom; Rogier P. Schade; Caroline E. Visser; Reinier van Hest; Marianne Kuijvenhoven; Jan M. Prins; Suzan F. M. Nijman; Elske Sieswerda; Kim C. E. Sigaloff
Publisher
Springer Science and Business Media LLC
Published
2021
Language
EN
Field
Medicine (Health Sciences)