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Epidemiology, risk factors and prognosis of ventilator-associated pneumonia during severe COVID-19: Multicenter observational study across 149 European Intensive Care Units
BACKGROUND: COVID-19 patients requiring mechanical ventilation are particularly at risk of developing ventilator-associated pneumonia (VAP). Risk factors and the prognostic impact of developing VAP during critical COVID-19 have not been fully documented. METHODS: Patients invasively ventilated for a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731925/ https://www.ncbi.nlm.nih.gov/pubmed/36509387 http://dx.doi.org/10.1016/j.accpm.2022.101184 |
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author | Garnier, Marc Constantin, Jean-Michel Heming, Nicholas Camous, Laurent Ferré, Alexis Razazi, Keyvan Lapidus, Nathanaël |
author_facet | Garnier, Marc Constantin, Jean-Michel Heming, Nicholas Camous, Laurent Ferré, Alexis Razazi, Keyvan Lapidus, Nathanaël |
author_sort | Garnier, Marc |
collection | PubMed |
description | BACKGROUND: COVID-19 patients requiring mechanical ventilation are particularly at risk of developing ventilator-associated pneumonia (VAP). Risk factors and the prognostic impact of developing VAP during critical COVID-19 have not been fully documented. METHODS: Patients invasively ventilated for at least 48 h from the prospective multicentre COVID-ICU database were included in the analyses. Cause-specific Cox regression models were used to determine factors associated with the occurrence of VAP. Cox-regression multivariable models were used to determine VAP prognosis. Risk factors and the prognostic impact of early vs. late VAP, and Pseudomonas-related vs. non-Pseudomonas-related VAP were also determined. MAIN FINDINGS: 3388 patients were analysed (63 [55–70] years, 75.8% males). VAP occurred in 1523/3388 (45.5%) patients after 7 [5–9] days of ventilation. Identified bacteria were mainly Enterobacteriaceae followed by Staphylococcus aureus and Pseudomonas aeruginosa. VAP risk factors were male gender (Hazard Ratio (HR) 1.26, 95% Confidence Interval [1.09–1.46]), concomitant bacterial pneumonia at ICU admission (HR 1.36 [1.10–1.67]), PaO(2)/FiO(2) ratio at intubation (HR 0.99 [0.98–0.99] per 10 mmHg increase), neuromuscular-blocking agents (HR 0.89 [0.76–0.998]), and corticosteroids (HR 1.27 [1.09–1.47]). VAP was associated with 90-mortality (HR 1.34 [1.16–1.55]), predominantly due to late VAP (HR 1.51 [1.26–1.81]). The impact of Pseudomonas-related and non-Pseudomonas-related VAP on mortality was similar. CONCLUSION: VAP affected almost half of mechanically ventilated COVID-19 patients. Several risk factors have been identified, among which modifiable risk factors deserve further investigation. VAP had a specific negative impact on 90-day mortality, particularly when it occurred between the end of the first week and the third week of ventilation. |
format | Online Article Text |
id | pubmed-9731925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97319252022-12-09 Epidemiology, risk factors and prognosis of ventilator-associated pneumonia during severe COVID-19: Multicenter observational study across 149 European Intensive Care Units Garnier, Marc Constantin, Jean-Michel Heming, Nicholas Camous, Laurent Ferré, Alexis Razazi, Keyvan Lapidus, Nathanaël Anaesth Crit Care Pain Med Original Article BACKGROUND: COVID-19 patients requiring mechanical ventilation are particularly at risk of developing ventilator-associated pneumonia (VAP). Risk factors and the prognostic impact of developing VAP during critical COVID-19 have not been fully documented. METHODS: Patients invasively ventilated for at least 48 h from the prospective multicentre COVID-ICU database were included in the analyses. Cause-specific Cox regression models were used to determine factors associated with the occurrence of VAP. Cox-regression multivariable models were used to determine VAP prognosis. Risk factors and the prognostic impact of early vs. late VAP, and Pseudomonas-related vs. non-Pseudomonas-related VAP were also determined. MAIN FINDINGS: 3388 patients were analysed (63 [55–70] years, 75.8% males). VAP occurred in 1523/3388 (45.5%) patients after 7 [5–9] days of ventilation. Identified bacteria were mainly Enterobacteriaceae followed by Staphylococcus aureus and Pseudomonas aeruginosa. VAP risk factors were male gender (Hazard Ratio (HR) 1.26, 95% Confidence Interval [1.09–1.46]), concomitant bacterial pneumonia at ICU admission (HR 1.36 [1.10–1.67]), PaO(2)/FiO(2) ratio at intubation (HR 0.99 [0.98–0.99] per 10 mmHg increase), neuromuscular-blocking agents (HR 0.89 [0.76–0.998]), and corticosteroids (HR 1.27 [1.09–1.47]). VAP was associated with 90-mortality (HR 1.34 [1.16–1.55]), predominantly due to late VAP (HR 1.51 [1.26–1.81]). The impact of Pseudomonas-related and non-Pseudomonas-related VAP on mortality was similar. CONCLUSION: VAP affected almost half of mechanically ventilated COVID-19 patients. Several risk factors have been identified, among which modifiable risk factors deserve further investigation. VAP had a specific negative impact on 90-day mortality, particularly when it occurred between the end of the first week and the third week of ventilation. Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. 2023-02 2022-12-09 /pmc/articles/PMC9731925/ /pubmed/36509387 http://dx.doi.org/10.1016/j.accpm.2022.101184 Text en © 2022 Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. 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 | Original Article Garnier, Marc Constantin, Jean-Michel Heming, Nicholas Camous, Laurent Ferré, Alexis Razazi, Keyvan Lapidus, Nathanaël Epidemiology, risk factors and prognosis of ventilator-associated pneumonia during severe COVID-19: Multicenter observational study across 149 European Intensive Care Units |
title | Epidemiology, risk factors and prognosis of ventilator-associated pneumonia during severe COVID-19: Multicenter observational study across 149 European Intensive Care Units |
title_full | Epidemiology, risk factors and prognosis of ventilator-associated pneumonia during severe COVID-19: Multicenter observational study across 149 European Intensive Care Units |
title_fullStr | Epidemiology, risk factors and prognosis of ventilator-associated pneumonia during severe COVID-19: Multicenter observational study across 149 European Intensive Care Units |
title_full_unstemmed | Epidemiology, risk factors and prognosis of ventilator-associated pneumonia during severe COVID-19: Multicenter observational study across 149 European Intensive Care Units |
title_short | Epidemiology, risk factors and prognosis of ventilator-associated pneumonia during severe COVID-19: Multicenter observational study across 149 European Intensive Care Units |
title_sort | epidemiology, risk factors and prognosis of ventilator-associated pneumonia during severe covid-19: multicenter observational study across 149 european intensive care units |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731925/ https://www.ncbi.nlm.nih.gov/pubmed/36509387 http://dx.doi.org/10.1016/j.accpm.2022.101184 |
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