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307. Predictors of Respiratory Bacterial Co-Infection in Hospitalized COVID-19 Patients

BACKGROUND: COVID-19 pneumonia can be indistinguishable from other infectious respiratory etiologies, so providers are challenged with deciding whether empiric antibiotics should be prescribed to hospitalized patients with SARS-CoV-2. This study aimed to evaluate predictors of respiratory bacterial...

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Autores principales: Reed, Erica E, Bolker, Austin, Coe, Kelci E, Smith, Jessica M, Stevenson, Kurt, Wang, Shu-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690474/
http://dx.doi.org/10.1093/ofid/ofab466.509
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author Reed, Erica E
Bolker, Austin
Coe, Kelci E
Smith, Jessica M
Stevenson, Kurt
Wang, Shu-Hua
author_facet Reed, Erica E
Bolker, Austin
Coe, Kelci E
Smith, Jessica M
Stevenson, Kurt
Wang, Shu-Hua
author_sort Reed, Erica E
collection PubMed
description BACKGROUND: COVID-19 pneumonia can be indistinguishable from other infectious respiratory etiologies, so providers are challenged with deciding whether empiric antibiotics should be prescribed to hospitalized patients with SARS-CoV-2. This study aimed to evaluate predictors of respiratory bacterial co-infections (RBCI) in hospitalized patients with COVID-19. METHODS: Retrospective study evaluating COVID-19 inpatients from Feb 1, 2020 to Sept 30, 2020 at a tertiary academic medical center. Patients with RBCI were matched with three COVID-19 inpatients lacking RBCI admitted within 7 days of each other. The primary objectives of this study were to determine the prevalence of and identify variables associated with RBCI in COVID-19 inpatients. Secondary outcomes included length of stay and mortality. Data collected included demographics; inflammatory markers; bacterial culture/antigen results; antibiotic exposure; and COVID-19 severity. Wilcoxon rank sum, Chi Square tests, or Fisher’s exact tests were utilized as appropriate. A multivariable logistic regression (MLR) model was conducted to identify covariates associated with RBCI. RESULTS: Seven hundred thirty-five patients were hospitalized with COVID-19 during the study period. Of these, 82 (11.2%) had RBCI. Fifty-seven of these patients met inclusion criteria and were matched to three patients lacking RBCI (N = 228 patients). Patients with RBCI were more likely to receive antibiotics [57 (100%) vs. 130 (76%), p < 0.0001] and for a longer cumulative duration [19 (13-33) vs. 8 (4-13) days, p < 0.0001] compared to patients lacking RBCI. The MLR model revealed risk factors of RBCI 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). CONCLUSION: Although RBCI is rare in COVID-19 inpatients, antibiotic use is common. COVID-19 inpatients may be more likely to have RBCI if they are admitted from a SNF/LTAC/NH, have severe COVID-19, or present with leukocytosis. Early and prompt recognition of RBCI predictors in COVID-19 inpatients may facilitate timely antimicrobial therapy while improving antimicrobial stewardship among patients at low risk for co-infection. DISCLOSURES: All Authors: No reported disclosures
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spelling pubmed-86904742022-01-05 307. Predictors of Respiratory Bacterial Co-Infection in Hospitalized COVID-19 Patients Reed, Erica E Bolker, Austin Coe, Kelci E Smith, Jessica M Stevenson, Kurt Wang, Shu-Hua Open Forum Infect Dis Poster Abstracts BACKGROUND: COVID-19 pneumonia can be indistinguishable from other infectious respiratory etiologies, so providers are challenged with deciding whether empiric antibiotics should be prescribed to hospitalized patients with SARS-CoV-2. This study aimed to evaluate predictors of respiratory bacterial co-infections (RBCI) in hospitalized patients with COVID-19. METHODS: Retrospective study evaluating COVID-19 inpatients from Feb 1, 2020 to Sept 30, 2020 at a tertiary academic medical center. Patients with RBCI were matched with three COVID-19 inpatients lacking RBCI admitted within 7 days of each other. The primary objectives of this study were to determine the prevalence of and identify variables associated with RBCI in COVID-19 inpatients. Secondary outcomes included length of stay and mortality. Data collected included demographics; inflammatory markers; bacterial culture/antigen results; antibiotic exposure; and COVID-19 severity. Wilcoxon rank sum, Chi Square tests, or Fisher’s exact tests were utilized as appropriate. A multivariable logistic regression (MLR) model was conducted to identify covariates associated with RBCI. RESULTS: Seven hundred thirty-five patients were hospitalized with COVID-19 during the study period. Of these, 82 (11.2%) had RBCI. Fifty-seven of these patients met inclusion criteria and were matched to three patients lacking RBCI (N = 228 patients). Patients with RBCI were more likely to receive antibiotics [57 (100%) vs. 130 (76%), p < 0.0001] and for a longer cumulative duration [19 (13-33) vs. 8 (4-13) days, p < 0.0001] compared to patients lacking RBCI. The MLR model revealed risk factors of RBCI 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). CONCLUSION: Although RBCI is rare in COVID-19 inpatients, antibiotic use is common. COVID-19 inpatients may be more likely to have RBCI if they are admitted from a SNF/LTAC/NH, have severe COVID-19, or present with leukocytosis. Early and prompt recognition of RBCI predictors in COVID-19 inpatients may facilitate timely antimicrobial therapy while improving antimicrobial stewardship among patients at low risk for co-infection. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2021-12-04 /pmc/articles/PMC8690474/ http://dx.doi.org/10.1093/ofid/ofab466.509 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Abstracts
Reed, Erica E
Bolker, Austin
Coe, Kelci E
Smith, Jessica M
Stevenson, Kurt
Wang, Shu-Hua
307. Predictors of Respiratory Bacterial Co-Infection in Hospitalized COVID-19 Patients
title 307. Predictors of Respiratory Bacterial Co-Infection in Hospitalized COVID-19 Patients
title_full 307. Predictors of Respiratory Bacterial Co-Infection in Hospitalized COVID-19 Patients
title_fullStr 307. Predictors of Respiratory Bacterial Co-Infection in Hospitalized COVID-19 Patients
title_full_unstemmed 307. Predictors of Respiratory Bacterial Co-Infection in Hospitalized COVID-19 Patients
title_short 307. Predictors of Respiratory Bacterial Co-Infection in Hospitalized COVID-19 Patients
title_sort 307. predictors of respiratory bacterial co-infection in hospitalized covid-19 patients
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690474/
http://dx.doi.org/10.1093/ofid/ofab466.509
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