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Impact of the Severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections
OBJECTIVE: To determine the relationship between severe acute respiratory syndrome coronavirus 2 infection, hospital-acquired infections (HAIs), and mortality. DESIGN: Retrospective cohort. SETTING: Three St. Louis, MO hospitals. PATIENTS: Adults admitted ≥48 hours from January 1, 2017 to August 31,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523544/ https://www.ncbi.nlm.nih.gov/pubmed/37771748 http://dx.doi.org/10.1017/ash.2023.409 |
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author | Atkinson, Andrew Nickel, Katelin B. Sahrmann, John M. Stwalley, Dustin Dubberke, Erik R. McMullen, Kathleen Marschall, Jonas Olsen, Margaret A. Kwon, Jennie H. Burnham, Jason P. |
author_facet | Atkinson, Andrew Nickel, Katelin B. Sahrmann, John M. Stwalley, Dustin Dubberke, Erik R. McMullen, Kathleen Marschall, Jonas Olsen, Margaret A. Kwon, Jennie H. Burnham, Jason P. |
author_sort | Atkinson, Andrew |
collection | PubMed |
description | OBJECTIVE: To determine the relationship between severe acute respiratory syndrome coronavirus 2 infection, hospital-acquired infections (HAIs), and mortality. DESIGN: Retrospective cohort. SETTING: Three St. Louis, MO hospitals. PATIENTS: Adults admitted ≥48 hours from January 1, 2017 to August 31, 2020. METHODS: Hospital-acquired infections were defined as those occurring ≥48 hours after admission and were based on positive urine, respiratory, and blood cultures. Poisson interrupted time series compared mortality trajectory before (beginning January 1, 2017) and during the first 6 months of the pandemic. Multivariable logistic regression models were fitted to identify risk factors for mortality in patients with an HAI before and during the pandemic. A time-to-event analysis considered time to death and discharge by fitting Cox proportional hazards models. RESULTS: Among 6,447 admissions with subsequent HAIs, patients were predominantly White (67.9%), with more females (50.9% vs 46.1%, P = .02), having slightly lower body mass index (28 vs 29, P = .001), and more having private insurance (50.6% vs 45.7%, P = .01) in the pre-pandemic period. In the pre-pandemic era, there were 1,000 (17.6%) patient deaths, whereas there were 160 deaths (21.3%, P = .01) during the pandemic. A total of 53 (42.1%) coronavirus disease 2019 (COVID-19) patients died having an HAI. Age and comorbidities increased the risk of death in patients with COVID-19 and an HAI. During the pandemic, Black patients with an HAI and COVID-19 were more likely to die than White patients with an HAI and COVID-19. CONCLUSIONS: In three Midwestern hospitals, patients with concurrent HAIs and COVID-19 were more likely to die if they were Black, elderly, and had certain chronic comorbidities. |
format | Online Article Text |
id | pubmed-10523544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105235442023-09-28 Impact of the Severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections Atkinson, Andrew Nickel, Katelin B. Sahrmann, John M. Stwalley, Dustin Dubberke, Erik R. McMullen, Kathleen Marschall, Jonas Olsen, Margaret A. Kwon, Jennie H. Burnham, Jason P. Antimicrob Steward Healthc Epidemiol Original Article OBJECTIVE: To determine the relationship between severe acute respiratory syndrome coronavirus 2 infection, hospital-acquired infections (HAIs), and mortality. DESIGN: Retrospective cohort. SETTING: Three St. Louis, MO hospitals. PATIENTS: Adults admitted ≥48 hours from January 1, 2017 to August 31, 2020. METHODS: Hospital-acquired infections were defined as those occurring ≥48 hours after admission and were based on positive urine, respiratory, and blood cultures. Poisson interrupted time series compared mortality trajectory before (beginning January 1, 2017) and during the first 6 months of the pandemic. Multivariable logistic regression models were fitted to identify risk factors for mortality in patients with an HAI before and during the pandemic. A time-to-event analysis considered time to death and discharge by fitting Cox proportional hazards models. RESULTS: Among 6,447 admissions with subsequent HAIs, patients were predominantly White (67.9%), with more females (50.9% vs 46.1%, P = .02), having slightly lower body mass index (28 vs 29, P = .001), and more having private insurance (50.6% vs 45.7%, P = .01) in the pre-pandemic period. In the pre-pandemic era, there were 1,000 (17.6%) patient deaths, whereas there were 160 deaths (21.3%, P = .01) during the pandemic. A total of 53 (42.1%) coronavirus disease 2019 (COVID-19) patients died having an HAI. Age and comorbidities increased the risk of death in patients with COVID-19 and an HAI. During the pandemic, Black patients with an HAI and COVID-19 were more likely to die than White patients with an HAI and COVID-19. CONCLUSIONS: In three Midwestern hospitals, patients with concurrent HAIs and COVID-19 were more likely to die if they were Black, elderly, and had certain chronic comorbidities. Cambridge University Press 2023-08-29 /pmc/articles/PMC10523544/ /pubmed/37771748 http://dx.doi.org/10.1017/ash.2023.409 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Original Article Atkinson, Andrew Nickel, Katelin B. Sahrmann, John M. Stwalley, Dustin Dubberke, Erik R. McMullen, Kathleen Marschall, Jonas Olsen, Margaret A. Kwon, Jennie H. Burnham, Jason P. Impact of the Severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections |
title | Impact of the Severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections |
title_full | Impact of the Severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections |
title_fullStr | Impact of the Severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections |
title_full_unstemmed | Impact of the Severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections |
title_short | Impact of the Severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections |
title_sort | impact of the severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523544/ https://www.ncbi.nlm.nih.gov/pubmed/37771748 http://dx.doi.org/10.1017/ash.2023.409 |
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