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Clinical sepsis phenotypes in critically ill COVID-19 patients

BACKGROUND: A greater understanding of disease heterogeneity may facilitate precision medicine for coronavirus disease 2019 (COVID-19). Previous work identified four distinct clinical phenotypes associated with outcome and treatment responses in non-COVID-19 sepsis patients, but it is unknown if and...

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Autores principales: Bruse, Niklas, Kooistra, Emma J., Jansen, Aron, van Amstel, Rombout B. E., de Keizer, Nicolette F., Kennedy, Jason N., Seymour, Christopher, van Vught, Lonneke A., Pickkers, Peter, Kox, Matthijs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361232/
https://www.ncbi.nlm.nih.gov/pubmed/35945618
http://dx.doi.org/10.1186/s13054-022-04118-6
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author Bruse, Niklas
Kooistra, Emma J.
Jansen, Aron
van Amstel, Rombout B. E.
de Keizer, Nicolette F.
Kennedy, Jason N.
Seymour, Christopher
van Vught, Lonneke A.
Pickkers, Peter
Kox, Matthijs
author_facet Bruse, Niklas
Kooistra, Emma J.
Jansen, Aron
van Amstel, Rombout B. E.
de Keizer, Nicolette F.
Kennedy, Jason N.
Seymour, Christopher
van Vught, Lonneke A.
Pickkers, Peter
Kox, Matthijs
author_sort Bruse, Niklas
collection PubMed
description BACKGROUND: A greater understanding of disease heterogeneity may facilitate precision medicine for coronavirus disease 2019 (COVID-19). Previous work identified four distinct clinical phenotypes associated with outcome and treatment responses in non-COVID-19 sepsis patients, but it is unknown if and how these phenotypes are recapitulated in COVID-19 sepsis patients. METHODS: We applied the four non-COVID-19 sepsis phenotypes to a total of 52,274 critically ill patients, comprising two cohorts of COVID-19 sepsis patients (admitted before and after the introduction of dexamethasone as standard treatment) and three non-COVID-19 sepsis cohorts (non-COVID-19 viral pneumonia sepsis, bacterial pneumonia sepsis, and bacterial sepsis of non-pulmonary origin). Differences in proportions of phenotypes and their associated mortality were determined across these cohorts. RESULTS: Phenotype distribution was highly similar between COVID-19 and non-COVID-19 viral pneumonia sepsis cohorts, whereas the proportion of patients with the δ-phenotype was greater in both bacterial sepsis cohorts compared to the viral sepsis cohorts. The introduction of dexamethasone treatment was associated with an increased proportion of patients with the δ-phenotype (6% vs. 11% in the pre- and post-dexamethasone COVID-19 cohorts, respectively, p < 0.001). Across the cohorts, the α-phenotype was associated with the most favorable outcome, while the δ-phenotype was associated with the highest mortality. Survival of the δ-phenotype was markedly higher following the introduction of dexamethasone (60% vs 41%, p < 0.001), whereas no relevant differences in survival were observed for the other phenotypes among COVID-19 patients. CONCLUSIONS: Classification of critically ill COVID-19 patients into clinical phenotypes may aid prognostication, prediction of treatment efficacy, and facilitation of personalized medicine. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04118-6.
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spelling pubmed-93612322022-08-09 Clinical sepsis phenotypes in critically ill COVID-19 patients Bruse, Niklas Kooistra, Emma J. Jansen, Aron van Amstel, Rombout B. E. de Keizer, Nicolette F. Kennedy, Jason N. Seymour, Christopher van Vught, Lonneke A. Pickkers, Peter Kox, Matthijs Crit Care Brief Report BACKGROUND: A greater understanding of disease heterogeneity may facilitate precision medicine for coronavirus disease 2019 (COVID-19). Previous work identified four distinct clinical phenotypes associated with outcome and treatment responses in non-COVID-19 sepsis patients, but it is unknown if and how these phenotypes are recapitulated in COVID-19 sepsis patients. METHODS: We applied the four non-COVID-19 sepsis phenotypes to a total of 52,274 critically ill patients, comprising two cohorts of COVID-19 sepsis patients (admitted before and after the introduction of dexamethasone as standard treatment) and three non-COVID-19 sepsis cohorts (non-COVID-19 viral pneumonia sepsis, bacterial pneumonia sepsis, and bacterial sepsis of non-pulmonary origin). Differences in proportions of phenotypes and their associated mortality were determined across these cohorts. RESULTS: Phenotype distribution was highly similar between COVID-19 and non-COVID-19 viral pneumonia sepsis cohorts, whereas the proportion of patients with the δ-phenotype was greater in both bacterial sepsis cohorts compared to the viral sepsis cohorts. The introduction of dexamethasone treatment was associated with an increased proportion of patients with the δ-phenotype (6% vs. 11% in the pre- and post-dexamethasone COVID-19 cohorts, respectively, p < 0.001). Across the cohorts, the α-phenotype was associated with the most favorable outcome, while the δ-phenotype was associated with the highest mortality. Survival of the δ-phenotype was markedly higher following the introduction of dexamethasone (60% vs 41%, p < 0.001), whereas no relevant differences in survival were observed for the other phenotypes among COVID-19 patients. CONCLUSIONS: Classification of critically ill COVID-19 patients into clinical phenotypes may aid prognostication, prediction of treatment efficacy, and facilitation of personalized medicine. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04118-6. BioMed Central 2022-08-09 /pmc/articles/PMC9361232/ /pubmed/35945618 http://dx.doi.org/10.1186/s13054-022-04118-6 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 Brief Report
Bruse, Niklas
Kooistra, Emma J.
Jansen, Aron
van Amstel, Rombout B. E.
de Keizer, Nicolette F.
Kennedy, Jason N.
Seymour, Christopher
van Vught, Lonneke A.
Pickkers, Peter
Kox, Matthijs
Clinical sepsis phenotypes in critically ill COVID-19 patients
title Clinical sepsis phenotypes in critically ill COVID-19 patients
title_full Clinical sepsis phenotypes in critically ill COVID-19 patients
title_fullStr Clinical sepsis phenotypes in critically ill COVID-19 patients
title_full_unstemmed Clinical sepsis phenotypes in critically ill COVID-19 patients
title_short Clinical sepsis phenotypes in critically ill COVID-19 patients
title_sort clinical sepsis phenotypes in critically ill covid-19 patients
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361232/
https://www.ncbi.nlm.nih.gov/pubmed/35945618
http://dx.doi.org/10.1186/s13054-022-04118-6
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