Andrew Conway Morris, Division of Anaesthesia, Department of Medicine, Level 4 Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, UK. Ac926@cam.ac.uk. 2 Division of Immunology, Department of Pathology, University of Cambridge, Cambridge, UK. Ac926@cam.ac.uk. 3 JVF Intensive Care Unit, Addenbrooke's Hospital, Cambridge, UK. Ac926@cam.ac.uk.
Katharina Kohler, Division of Anaesthesia, Department of Medicine, Level 4 Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, UK
Thomas De Corte, Department of Intensive Care Medicine, Ghent University Hospital, Ghent, Belgium. 6 Dept of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
Ari Ecole, Division of Anaesthesia, Department of Medicine, Level 4 Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, UK,, Neurocritical Care Unit, Addenbrooke's Hospital, Cambridge, UK
Harm-Jan De Grooth, Department of Intensive Care, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Paul W G Elbers, Department of Intensive Care, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Pedro Povoa, Nova Medical School, New University, Lisbon, Portugal. , Center for Clinical Epidemiology and Research Unit of Clinical Epidemiology, OUH Odense University Hospital, Odense, Denmark. , Polyvalent Intensive Care Unit, Hospital de São Francisco Xavier, CHLO, Lisbon, Portugal.
Rui Morais, Polyvalent Intensive Care Unit, Hospital de São Francisco Xavier, CHLO, Lisbon, Portugal.
Despoina Koulenti, UQ Centre for Clinical Research (UQCCR), Faculty of Medicine, The University of Queensland, Brisbane, Australia., Deenanath Mangeshkar Hospital and Research Center, Pune, India.
Sameer Jog, Deenanath Mangeshkar Hospital and Research Center, Pune, India
Nathan Nielsen, Divisions of Pulmonary, Critical Care and Sleep Medicine and Transfusion Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
Alasdair Jubb, Division of Anaesthesia, Department of Medicine, Level 4 Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, UK, Neurocritical Care Unit, Addenbrooke's Hospital, Cambridge, UK
Maurizio Cecconi, Department of Anaesthesia, Humanitas University, Milan, Italy. # Contributed equally
Jan De Waele, Department of Intensive Care Medicine, Ghent University Hospital, Ghent, Belgium., Dept of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
ESICM UNITE COVID investigators

Document Type

Article

Publication Date

8-2022

Abstract

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).

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