Cargando…

Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set

BACKGROUND: The COVID-19 pandemic presented major challenges for critical care facilities worldwide. Infections which develop alongside or subsequent to viral pneumonitis are a challenge under sporadic and pandemic conditions; however, data have suggested that patterns of these differ between COVID-...

Descripción completa

Detalles Bibliográficos
Autores principales: Conway Morris, Andrew, Kohler, Katharina, De Corte, Thomas, Ercole, Ari, De Grooth, Harm-Jan, Elbers, Paul W. G., Povoa, Pedro, Morais, Rui, Koulenti, Despoina, Jog, Sameer, Nielsen, Nathan, Jubb, Alasdair, Cecconi, Maurizio, De Waele, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347163/
https://www.ncbi.nlm.nih.gov/pubmed/35922860
http://dx.doi.org/10.1186/s13054-022-04108-8
_version_ 1784761805945438208
author Conway Morris, Andrew
Kohler, Katharina
De Corte, Thomas
Ercole, Ari
De Grooth, Harm-Jan
Elbers, Paul W. G.
Povoa, Pedro
Morais, Rui
Koulenti, Despoina
Jog, Sameer
Nielsen, Nathan
Jubb, Alasdair
Cecconi, Maurizio
De Waele, Jan
author_facet Conway Morris, Andrew
Kohler, Katharina
De Corte, Thomas
Ercole, Ari
De Grooth, Harm-Jan
Elbers, Paul W. G.
Povoa, Pedro
Morais, Rui
Koulenti, Despoina
Jog, Sameer
Nielsen, Nathan
Jubb, Alasdair
Cecconi, Maurizio
De Waele, Jan
author_sort Conway Morris, Andrew
collection PubMed
description BACKGROUND: The COVID-19 pandemic presented major challenges for critical care facilities worldwide. Infections which develop alongside or subsequent to viral pneumonitis are a challenge under sporadic and pandemic conditions; however, data have suggested that patterns of these differ between COVID-19 and other viral pneumonitides. This secondary analysis aimed to explore patterns of co-infection and intensive care unit-acquired infections (ICU-AI) and the relationship to use of corticosteroids in a large, international cohort of critically ill COVID-19 patients. METHODS: This is a multicenter, international, observational study, including adult patients with PCR-confirmed COVID-19 diagnosis admitted to ICUs at the peak of wave one of COVID-19 (February 15th to May 15th, 2020). Data collected included investigator-assessed co-infection at ICU admission, infection acquired in ICU, infection with multi-drug resistant organisms (MDRO) and antibiotic use. Frequencies were compared by Pearson’s Chi-squared and continuous variables by Mann–Whitney U test. Propensity score matching for variables associated with ICU-acquired infection was undertaken using R library MatchIT using the “full” matching method. RESULTS: Data were available from 4994 patients. Bacterial co-infection at admission was detected in 716 patients (14%), whilst 85% of patients received antibiotics at that stage. ICU-AI developed in 2715 (54%). The most common ICU-AI was bacterial pneumonia (44% of infections), whilst 9% of patients developed fungal pneumonia; 25% of infections involved MDRO. Patients developing infections in ICU had greater antimicrobial exposure than those without such infections. Incident density (ICU-AI per 1000 ICU days) was in considerable excess of reports from pre-pandemic surveillance. Corticosteroid use was heterogenous between ICUs. In univariate analysis, 58% of patients receiving corticosteroids and 43% of those not receiving steroids developed ICU-AI. Adjusting for potential confounders in the propensity-matched cohort, 71% of patients receiving corticosteroids developed ICU-AI vs 52% of those not receiving corticosteroids. Duration of corticosteroid therapy was also associated with development of ICU-AI and infection with an MDRO. CONCLUSIONS: In patients with severe COVID-19 in the first wave, co-infection at admission to ICU was relatively rare but antibiotic use was in substantial excess to that indication. ICU-AI were common and were significantly associated with use of corticosteroids. Trial registration ClinicalTrials.gov: NCT04836065 (retrospectively registered April 8th 2021). GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04108-8.
format Online
Article
Text
id pubmed-9347163
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-93471632022-08-04 Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set Conway Morris, Andrew Kohler, Katharina De Corte, Thomas Ercole, Ari De Grooth, Harm-Jan Elbers, Paul W. G. Povoa, Pedro Morais, Rui Koulenti, Despoina Jog, Sameer Nielsen, Nathan Jubb, Alasdair Cecconi, Maurizio De Waele, Jan Crit Care Research BACKGROUND: The COVID-19 pandemic presented major challenges for critical care facilities worldwide. Infections which develop alongside or subsequent to viral pneumonitis are a challenge under sporadic and pandemic conditions; however, data have suggested that patterns of these differ between COVID-19 and other viral pneumonitides. This secondary analysis aimed to explore patterns of co-infection and intensive care unit-acquired infections (ICU-AI) and the relationship to use of corticosteroids in a large, international cohort of critically ill COVID-19 patients. METHODS: This is a multicenter, international, observational study, including adult patients with PCR-confirmed COVID-19 diagnosis admitted to ICUs at the peak of wave one of COVID-19 (February 15th to May 15th, 2020). Data collected included investigator-assessed co-infection at ICU admission, infection acquired in ICU, infection with multi-drug resistant organisms (MDRO) and antibiotic use. Frequencies were compared by Pearson’s Chi-squared and continuous variables by Mann–Whitney U test. Propensity score matching for variables associated with ICU-acquired infection was undertaken using R library MatchIT using the “full” matching method. RESULTS: Data were available from 4994 patients. Bacterial co-infection at admission was detected in 716 patients (14%), whilst 85% of patients received antibiotics at that stage. ICU-AI developed in 2715 (54%). The most common ICU-AI was bacterial pneumonia (44% of infections), whilst 9% of patients developed fungal pneumonia; 25% of infections involved MDRO. Patients developing infections in ICU had greater antimicrobial exposure than those without such infections. Incident density (ICU-AI per 1000 ICU days) was in considerable excess of reports from pre-pandemic surveillance. Corticosteroid use was heterogenous between ICUs. In univariate analysis, 58% of patients receiving corticosteroids and 43% of those not receiving steroids developed ICU-AI. Adjusting for potential confounders in the propensity-matched cohort, 71% of patients receiving corticosteroids developed ICU-AI vs 52% of those not receiving corticosteroids. Duration of corticosteroid therapy was also associated with development of ICU-AI and infection with an MDRO. CONCLUSIONS: In patients with severe COVID-19 in the first wave, co-infection at admission to ICU was relatively rare but antibiotic use was in substantial excess to that indication. ICU-AI were common and were significantly associated with use of corticosteroids. Trial registration ClinicalTrials.gov: NCT04836065 (retrospectively registered April 8th 2021). GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04108-8. BioMed Central 2022-08-03 /pmc/articles/PMC9347163/ /pubmed/35922860 http://dx.doi.org/10.1186/s13054-022-04108-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Conway Morris, Andrew
Kohler, Katharina
De Corte, Thomas
Ercole, Ari
De Grooth, Harm-Jan
Elbers, Paul W. G.
Povoa, Pedro
Morais, Rui
Koulenti, Despoina
Jog, Sameer
Nielsen, Nathan
Jubb, Alasdair
Cecconi, Maurizio
De Waele, Jan
Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set
title Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set
title_full Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set
title_fullStr Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set
title_full_unstemmed Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set
title_short Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set
title_sort co-infection and icu-acquired infection in coivd-19 icu patients: a secondary analysis of the unite-covid data set
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347163/
https://www.ncbi.nlm.nih.gov/pubmed/35922860
http://dx.doi.org/10.1186/s13054-022-04108-8
work_keys_str_mv AT conwaymorrisandrew coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT kohlerkatharina coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT decortethomas coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT ercoleari coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT degroothharmjan coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT elberspaulwg coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT povoapedro coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT moraisrui coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT koulentidespoina coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT jogsameer coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT nielsennathan coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT jubbalasdair coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT cecconimaurizio coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT dewaelejan coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset
AT coinfectionandicuacquiredinfectionincoivd19icupatientsasecondaryanalysisoftheunitecoviddataset