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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-8481625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
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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