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Predictors of respiratory bacterial co-infection in hospitalized COVID-19 patients

The primary objectives were to determine the prevalence of and identify variables associated with respiratory bacterial co-infection in COVID-19 inpatients. Secondary outcomes included length of stay and in-hospital mortality. Eighty-two (11.2%) of 735 COVID-19 inpatients had respiratory bacterial c...

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Autores principales: Bolker, Austin, Coe, Kelci, Smith, Jessica, Stevenson, Kurt, Wang, Shu-Hua, Reed, Erica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481625/
https://www.ncbi.nlm.nih.gov/pubmed/34731685
http://dx.doi.org/10.1016/j.diagmicrobio.2021.115558
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author Bolker, Austin
Coe, Kelci
Smith, Jessica
Stevenson, Kurt
Wang, Shu-Hua
Reed, Erica
author_facet Bolker, Austin
Coe, Kelci
Smith, Jessica
Stevenson, Kurt
Wang, Shu-Hua
Reed, Erica
author_sort Bolker, Austin
collection PubMed
description The primary objectives were to determine the prevalence of and identify variables associated with respiratory bacterial co-infection in COVID-19 inpatients. Secondary outcomes included length of stay and in-hospital mortality. Eighty-two (11.2%) of 735 COVID-19 inpatients had respiratory bacterial co-infection. Fifty-seven patients met inclusion criteria and were matched to three patients lacking co-infection (N = 228 patients). Patients with co-infection were more likely to receive antibiotics [57 (100%) vs 130 (76%), P < 0.0001] and for a longer duration [19 (13-33) vs 8 (4-13) days, P < 0.0001]. The multi-variable logistic regression model revealed risk factors of respiratory bacterial co-infection to be admission from SNF/LTAC/NH (AOR 6.8, 95% CI 2.6-18.2), severe COVID-19 (AOR 3.03, 95% CI 0.78-11.9), and leukocytosis (AOR 3.03, 95% CI 0.99-1.16). Although respiratory bacterial co-infection is rare in COVID-19 inpatients, antibiotic use is common. Early recognition of respiratory bacterial coinfection predictors in COVID-19 inpatients may improve empiric antibiotic prescribing.
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spelling pubmed-84816252021-09-30 Predictors of respiratory bacterial co-infection in hospitalized COVID-19 patients Bolker, Austin Coe, Kelci Smith, Jessica Stevenson, Kurt Wang, Shu-Hua Reed, Erica Diagn Microbiol Infect Dis Clinical Studies The primary objectives were to determine the prevalence of and identify variables associated with respiratory bacterial co-infection in COVID-19 inpatients. Secondary outcomes included length of stay and in-hospital mortality. Eighty-two (11.2%) of 735 COVID-19 inpatients had respiratory bacterial co-infection. Fifty-seven patients met inclusion criteria and were matched to three patients lacking co-infection (N = 228 patients). Patients with co-infection were more likely to receive antibiotics [57 (100%) vs 130 (76%), P < 0.0001] and for a longer duration [19 (13-33) vs 8 (4-13) days, P < 0.0001]. The multi-variable logistic regression model revealed risk factors of respiratory bacterial co-infection to be admission from SNF/LTAC/NH (AOR 6.8, 95% CI 2.6-18.2), severe COVID-19 (AOR 3.03, 95% CI 0.78-11.9), and leukocytosis (AOR 3.03, 95% CI 0.99-1.16). Although respiratory bacterial co-infection is rare in COVID-19 inpatients, antibiotic use is common. Early recognition of respiratory bacterial coinfection predictors in COVID-19 inpatients may improve empiric antibiotic prescribing. Elsevier Inc. 2022-01 2021-09-30 /pmc/articles/PMC8481625/ /pubmed/34731685 http://dx.doi.org/10.1016/j.diagmicrobio.2021.115558 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Clinical Studies
Bolker, Austin
Coe, Kelci
Smith, Jessica
Stevenson, Kurt
Wang, Shu-Hua
Reed, Erica
Predictors of respiratory bacterial co-infection in hospitalized COVID-19 patients
title Predictors of respiratory bacterial co-infection in hospitalized COVID-19 patients
title_full Predictors of respiratory bacterial co-infection in hospitalized COVID-19 patients
title_fullStr Predictors of respiratory bacterial co-infection in hospitalized COVID-19 patients
title_full_unstemmed Predictors of respiratory bacterial co-infection in hospitalized COVID-19 patients
title_short Predictors of respiratory bacterial co-infection in hospitalized COVID-19 patients
title_sort predictors of respiratory bacterial co-infection in hospitalized covid-19 patients
topic Clinical Studies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481625/
https://www.ncbi.nlm.nih.gov/pubmed/34731685
http://dx.doi.org/10.1016/j.diagmicrobio.2021.115558
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