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787. Predictors of Co-infection with Multidrug Resistant Organisms among Hospitalized Patients with COVID-19: An Exploratory Analysis

BACKGROUND: Bacterial co-infection has been reported with COVID-19, but risk factors for bacterial co-infection remain unclear due to limited large scale studies. We seek to identify predictive factors associated with risk of co-infection with multidrug-resistant organisms for patients hospitalized...

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Autores principales: Zhang, Yue, Li, Haojia, Jones, Barbara E, Rubin, Michael, Haroldsen, Candace, Willson, Tina M, Effiong, Atim, Cole, Jessica, Khader, Karim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751885/
http://dx.doi.org/10.1093/ofid/ofac492.048
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author Zhang, Yue
Li, Haojia
Jones, Barbara E
Rubin, Michael
Haroldsen, Candace
Willson, Tina M
Effiong, Atim
Cole, Jessica
Khader, Karim
author_facet Zhang, Yue
Li, Haojia
Jones, Barbara E
Rubin, Michael
Haroldsen, Candace
Willson, Tina M
Effiong, Atim
Cole, Jessica
Khader, Karim
author_sort Zhang, Yue
collection PubMed
description BACKGROUND: Bacterial co-infection has been reported with COVID-19, but risk factors for bacterial co-infection remain unclear due to limited large scale studies. We seek to identify predictive factors associated with risk of co-infection with multidrug-resistant organisms for patients hospitalized at Veterans Affairs (VA) hospitals with COVID-19. METHODS: This retrospective cohort study included Veterans admitted to VA hospitals from March 1, 2020 through May 31, 2022 with a confirmed positive COVID-19 test within the previous 14 days and up to 2 days after admission. Outcomes of interest were hospital-onset co-infection (HOI, > 2 calendar days after admission) and community-onset co-infection (COI, within 2 calendar days of admission). Potential risk factors included both patient- (e.g. vital sign, medication use) and facility-level covariates (e.g. bed size, antibiotic use rate). We compared the covariate distributions for patients with and without HOI and COI. Our analytical approaches included variance inflation factors to detect the presence of multicollinearity among these factors, and Least Absolute Shrinkage and Selection Operator to identify the subset of factors associated with HOI and COI. We conducted a two-stage analysis, first performing feature selection among the individual-level risk factors followed by identification of facility-level risk factors. Optimal models were identified using 10-fold cross validation. RESULTS: By July 2021, 33,383 patients were admitted to VA with positive COVID-19 test. We found that medications for ventilator induction (OR with 95% CI: 2.9 (2.2, 3.9)), norepinephrine (OR with 95% CI: 1.6 (1.2, 2.2)) and antimicrobial therapies for gram-positive infections (OR with 95% CI: 4.5 (3.6, 5.6)) [Table 1] were associated with the increased risk of HOI and patients in facilities with high C difficile infection rates were more likely to have COI detected (OR with 95% CI: 1.14 (1.11, 1.18)) [Table 2]. Homeless Veterans had higher risk of developing an HOI (OR with 95% CI: 1.5 (1.1, 2.0)), but not a COI. [Figure: see text] [Figure: see text] CONCLUSION: Risk factors for HOI and COI in COVID-19 were distinct, with specific classes of medications and antibiotics as well as patient factors resulting in increased risk for HOI. Further work is needed to better understand the risk factors for COI. DISCLOSURES: Karim Khader, PhD, BioFire Diagnostics: Grant/Research Support.
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spelling pubmed-97518852022-12-16 787. Predictors of Co-infection with Multidrug Resistant Organisms among Hospitalized Patients with COVID-19: An Exploratory Analysis Zhang, Yue Li, Haojia Jones, Barbara E Rubin, Michael Haroldsen, Candace Willson, Tina M Effiong, Atim Cole, Jessica Khader, Karim Open Forum Infect Dis Abstracts BACKGROUND: Bacterial co-infection has been reported with COVID-19, but risk factors for bacterial co-infection remain unclear due to limited large scale studies. We seek to identify predictive factors associated with risk of co-infection with multidrug-resistant organisms for patients hospitalized at Veterans Affairs (VA) hospitals with COVID-19. METHODS: This retrospective cohort study included Veterans admitted to VA hospitals from March 1, 2020 through May 31, 2022 with a confirmed positive COVID-19 test within the previous 14 days and up to 2 days after admission. Outcomes of interest were hospital-onset co-infection (HOI, > 2 calendar days after admission) and community-onset co-infection (COI, within 2 calendar days of admission). Potential risk factors included both patient- (e.g. vital sign, medication use) and facility-level covariates (e.g. bed size, antibiotic use rate). We compared the covariate distributions for patients with and without HOI and COI. Our analytical approaches included variance inflation factors to detect the presence of multicollinearity among these factors, and Least Absolute Shrinkage and Selection Operator to identify the subset of factors associated with HOI and COI. We conducted a two-stage analysis, first performing feature selection among the individual-level risk factors followed by identification of facility-level risk factors. Optimal models were identified using 10-fold cross validation. RESULTS: By July 2021, 33,383 patients were admitted to VA with positive COVID-19 test. We found that medications for ventilator induction (OR with 95% CI: 2.9 (2.2, 3.9)), norepinephrine (OR with 95% CI: 1.6 (1.2, 2.2)) and antimicrobial therapies for gram-positive infections (OR with 95% CI: 4.5 (3.6, 5.6)) [Table 1] were associated with the increased risk of HOI and patients in facilities with high C difficile infection rates were more likely to have COI detected (OR with 95% CI: 1.14 (1.11, 1.18)) [Table 2]. Homeless Veterans had higher risk of developing an HOI (OR with 95% CI: 1.5 (1.1, 2.0)), but not a COI. [Figure: see text] [Figure: see text] CONCLUSION: Risk factors for HOI and COI in COVID-19 were distinct, with specific classes of medications and antibiotics as well as patient factors resulting in increased risk for HOI. Further work is needed to better understand the risk factors for COI. DISCLOSURES: Karim Khader, PhD, BioFire Diagnostics: Grant/Research Support. Oxford University Press 2022-12-15 /pmc/articles/PMC9751885/ http://dx.doi.org/10.1093/ofid/ofac492.048 Text en © The Author(s) 2022. 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 Abstracts
Zhang, Yue
Li, Haojia
Jones, Barbara E
Rubin, Michael
Haroldsen, Candace
Willson, Tina M
Effiong, Atim
Cole, Jessica
Khader, Karim
787. Predictors of Co-infection with Multidrug Resistant Organisms among Hospitalized Patients with COVID-19: An Exploratory Analysis
title 787. Predictors of Co-infection with Multidrug Resistant Organisms among Hospitalized Patients with COVID-19: An Exploratory Analysis
title_full 787. Predictors of Co-infection with Multidrug Resistant Organisms among Hospitalized Patients with COVID-19: An Exploratory Analysis
title_fullStr 787. Predictors of Co-infection with Multidrug Resistant Organisms among Hospitalized Patients with COVID-19: An Exploratory Analysis
title_full_unstemmed 787. Predictors of Co-infection with Multidrug Resistant Organisms among Hospitalized Patients with COVID-19: An Exploratory Analysis
title_short 787. Predictors of Co-infection with Multidrug Resistant Organisms among Hospitalized Patients with COVID-19: An Exploratory Analysis
title_sort 787. predictors of co-infection with multidrug resistant organisms among hospitalized patients with covid-19: an exploratory analysis
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751885/
http://dx.doi.org/10.1093/ofid/ofac492.048
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