Healthcare-associated infections in patients with severe COVID-19 supported with extracorporeal membrane oxygenation : a nationwide cohort study
© 2024. The Author(s)..
BACKGROUND: Both critically ill patients with coronavirus disease 2019 (COVID-19) and patients receiving extracorporeal membrane oxygenation (ECMO) support exhibit a high incidence of healthcare-associated infections (HAI). However, data on incidence, microbiology, resistance patterns, and the impact of HAI on outcomes in patients receiving ECMO for severe COVID-19 remain limited. We aimed to report HAI incidence and microbiology in patients receiving ECMO for severe COVID-19 and to evaluate the impact of ECMO-associated infections (ECMO-AI) on in-hospital mortality.
METHODS: For this study, we analyzed data from 701 patients included in the ECMOSARS registry which included COVID-19 patients supported by ECMO in France.
RESULTS: Among 602 analyzed patients for whom HAI and hospital mortality data were available, 214 (36%) had ECMO-AI, resulting in an incidence rate of 27 ECMO-AI per 1000 ECMO days at risk. Of these, 154 patients had bloodstream infection (BSI) and 117 patients had ventilator-associated pneumonia (VAP). The responsible microorganisms were Enterobacteriaceae (34% for BSI and 48% for VAP), Enterococcus species (25% and 6%, respectively) and non-fermenting Gram-negative bacilli (13% and 20%, respectively). Fungal infections were also observed (10% for BSI and 3% for VAP), as were multidrug-resistant organisms (21% and 15%, respectively). Using a Cox multistate model, ECMO-AI were not found associated with hospital death (HR = 1.00 95% CI [0.79-1.26], p = 0.986).
CONCLUSIONS: In a nationwide cohort of COVID-19 patients receiving ECMO support, we observed a high incidence of ECMO-AI. ECMO-AI were not found associated with hospital death. Trial registration number NCT04397588 (May 21, 2020).
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:28 |
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Enthalten in: |
Critical care (London, England) - 28(2024), 1 vom: 20. Feb., Seite 54 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Nesseler, Nicolas [VerfasserIn] |
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Links: |
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Themen: |
Bloodstream infections |
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Anmerkungen: |
Date Completed 21.02.2024 Date Revised 04.04.2024 published: Electronic ClinicalTrials.gov: NCT04397588 Citation Status MEDLINE |
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doi: |
10.1186/s13054-024-04832-3 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM368641643 |
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520 | |a © 2024. The Author(s). | ||
520 | |a BACKGROUND: Both critically ill patients with coronavirus disease 2019 (COVID-19) and patients receiving extracorporeal membrane oxygenation (ECMO) support exhibit a high incidence of healthcare-associated infections (HAI). However, data on incidence, microbiology, resistance patterns, and the impact of HAI on outcomes in patients receiving ECMO for severe COVID-19 remain limited. We aimed to report HAI incidence and microbiology in patients receiving ECMO for severe COVID-19 and to evaluate the impact of ECMO-associated infections (ECMO-AI) on in-hospital mortality | ||
520 | |a METHODS: For this study, we analyzed data from 701 patients included in the ECMOSARS registry which included COVID-19 patients supported by ECMO in France | ||
520 | |a RESULTS: Among 602 analyzed patients for whom HAI and hospital mortality data were available, 214 (36%) had ECMO-AI, resulting in an incidence rate of 27 ECMO-AI per 1000 ECMO days at risk. Of these, 154 patients had bloodstream infection (BSI) and 117 patients had ventilator-associated pneumonia (VAP). The responsible microorganisms were Enterobacteriaceae (34% for BSI and 48% for VAP), Enterococcus species (25% and 6%, respectively) and non-fermenting Gram-negative bacilli (13% and 20%, respectively). Fungal infections were also observed (10% for BSI and 3% for VAP), as were multidrug-resistant organisms (21% and 15%, respectively). Using a Cox multistate model, ECMO-AI were not found associated with hospital death (HR = 1.00 95% CI [0.79-1.26], p = 0.986) | ||
520 | |a CONCLUSIONS: In a nationwide cohort of COVID-19 patients receiving ECMO support, we observed a high incidence of ECMO-AI. ECMO-AI were not found associated with hospital death. Trial registration number NCT04397588 (May 21, 2020) | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Bloodstream infections | |
650 | 4 | |a ECLS | |
650 | 4 | |a Nosocomial infections | |
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700 | 1 | |a Flicoteaux, Guillaume |e investigator |4 oth | |
700 | 1 | |a Mauriat, Philippe |e investigator |4 oth | |
700 | 1 | |a Ouattara, Alexandre |e investigator |4 oth | |
700 | 1 | |a Roze, Hadrien |e investigator |4 oth | |
700 | 1 | |a Huet, Olivier |e investigator |4 oth | |
700 | 1 | |a Fischer, Marc-Olivier |e investigator |4 oth | |
700 | 1 | |a Bellaïche, Raphel |e investigator |4 oth | |
700 | 1 | |a Constant, Ophélie |e investigator |4 oth | |
700 | 1 | |a De Roux, Quentin |e investigator |4 oth | |
700 | 1 | |a André, L Y |e investigator |4 oth | |
700 | 1 | |a Meffert, Arnaud |e investigator |4 oth | |
700 | 1 | |a Merle, Jean-Claude |e investigator |4 oth | |
700 | 1 | |a Picard, Lucile |e investigator |4 oth | |
700 | 1 | |a Skripkina, Elena |e investigator |4 oth | |
700 | 1 | |a Folliguet, Thierry |e investigator |4 oth | |
700 | 1 | |a Fiore, Antonio |e investigator |4 oth | |
700 | 1 | |a D'ostrevy, Nicolas |e investigator |4 oth | |
700 | 1 | |a Morgan, Marie-Catherine |e investigator |4 oth | |
700 | 1 | |a Nguyen, Maxime |e investigator |4 oth | |
700 | 1 | |a Terzi, Nicolas |e investigator |4 oth | |
700 | 1 | |a Colin, Gwenhaël |e investigator |4 oth | |
700 | 1 | |a Fabre, Olivier |e investigator |4 oth | |
700 | 1 | |a Astaneh, Arash |e investigator |4 oth | |
700 | 1 | |a Issard, Justin |e investigator |4 oth | |
700 | 1 | |a Fadel, Elie |e investigator |4 oth | |
700 | 1 | |a Fabre, Dominique |e investigator |4 oth | |
700 | 1 | |a Guihaire, Julien |e investigator |4 oth | |
700 | 1 | |a Ion, Iolande |e investigator |4 oth | |
700 | 1 | |a Menager, Jean Baptiste |e investigator |4 oth | |
700 | 1 | |a Mitilian, Delphine |e investigator |4 oth | |
700 | 1 | |a Mercier, Olaf |e investigator |4 oth | |
700 | 1 | |a Stephan, François |e investigator |4 oth | |
700 | 1 | |a Thes, Jacques |e investigator |4 oth | |
700 | 1 | |a Jouan, Jerôme |e investigator |4 oth | |
700 | 1 | |a Duburcq, Thibault |e investigator |4 oth | |
700 | 1 | |a Loobuyck, Valentin |e investigator |4 oth | |
700 | 1 | |a Moussa, Mouhammed |e investigator |4 oth | |
700 | 1 | |a Manganiello, Sabrina |e investigator |4 oth | |
700 | 1 | |a Mugnier, Agnes |e investigator |4 oth | |
700 | 1 | |a Rousse, Natacha |e investigator |4 oth | |
700 | 1 | |a Desebbe, Olivier |e investigator |4 oth | |
700 | 1 | |a Fellahi, Jean-Luc |e investigator |4 oth | |
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700 | 1 | |a Pozzi, Matteo |e investigator |4 oth | |
700 | 1 | |a Riad, Zakaria |e investigator |4 oth | |
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700 | 1 | |a Hraiech, Sami |e investigator |4 oth | |
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700 | 1 | |a Chanavaz, Charles |e investigator |4 oth | |
700 | 1 | |a Cadoz, Cyril |e investigator |4 oth | |
700 | 1 | |a Gette, Sebastien |e investigator |4 oth | |
700 | 1 | |a Louis, Guillaume |e investigator |4 oth | |
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700 | 1 | |a Patrier, Juliette |e investigator |4 oth | |
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700 | 1 | |a Roué, Morgan |e investigator |4 oth | |
700 | 1 | |a Sonneville, Romain |e investigator |4 oth | |
700 | 1 | |a Tran-Dinh, Alexy |e investigator |4 oth | |
700 | 1 | |a Wicky, Paul-Henri |e investigator |4 oth | |
700 | 1 | |a Al Zreibi, Charles |e investigator |4 oth | |
700 | 1 | |a Cholley, Bernard |e investigator |4 oth | |
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700 | 1 | |a Barbanti, Claudio |e investigator |4 oth | |
700 | 1 | |a Bertier, Astrid |e investigator |4 oth | |
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700 | 1 | |a Matiello, Jordi |e investigator |4 oth | |
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