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Can the cytokine adsorber CytoSorb(®) help to mitigate cytokine storm and reduce mortality in critically ill patients? A propensity score matching analysis

BACKGROUND: A cytokine storm is life threatening for critically ill patients and is mainly caused by sepsis or severe trauma. In combination with supportive therapy, the cytokine adsorber Cytosorb(®) (CS) is increasingly used for the treatment of cytokine storm. However, it is questionable whether i...

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Autores principales: Scharf, Christina, Schroeder, Ines, Paal, Michael, Winkels, Martin, Irlbeck, Michael, Zoller, Michael, Liebchen, Uwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295971/
https://www.ncbi.nlm.nih.gov/pubmed/34292421
http://dx.doi.org/10.1186/s13613-021-00905-6
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author Scharf, Christina
Schroeder, Ines
Paal, Michael
Winkels, Martin
Irlbeck, Michael
Zoller, Michael
Liebchen, Uwe
author_facet Scharf, Christina
Schroeder, Ines
Paal, Michael
Winkels, Martin
Irlbeck, Michael
Zoller, Michael
Liebchen, Uwe
author_sort Scharf, Christina
collection PubMed
description BACKGROUND: A cytokine storm is life threatening for critically ill patients and is mainly caused by sepsis or severe trauma. In combination with supportive therapy, the cytokine adsorber Cytosorb(®) (CS) is increasingly used for the treatment of cytokine storm. However, it is questionable whether its use is actually beneficial in these patients. METHODS: Patients with an interleukin-6 (IL-6) > 10,000 pg/ml were retrospectively included between October 2014 and May 2020 and were divided into two groups (group 1: CS therapy; group 2: no CS therapy). Inclusion criteria were a regularly measured IL-6 and, for patients allocated to group 1, CS therapy for at least 90 min. A propensity score (PS) matching analysis with significant baseline differences as predictors (Simplified Acute Physiology Score (SAPS) II, extracorporeal membrane oxygenation, renal replacement therapy, IL-6, lactate and norepinephrine demand) was performed to compare both groups (adjustment tolerance: < 0.05; standardization tolerance: < 10%). U-test and Fisher’s-test were used for independent variables and the Wilcoxon test was used for dependent variables. RESULTS: In total, 143 patients were included in the initial evaluation (group 1: 38; group 2: 105). Nineteen comparable pairings could be formed (mean initial IL-6: 58,385 vs. 59,812 pg/ml; mean SAPS II: 77 vs. 75). There was a significant reduction in IL-6 in patients with (p < 0.001) and without CS treatment (p = 0.005). However, there was no significant difference (p = 0.708) in the median relative reduction in both groups (89% vs. 80%). Furthermore, there was no significant difference in the relative change in C-reactive protein, lactate, or norepinephrine demand in either group and the in-hospital mortality was similar between groups (73.7%). CONCLUSION: Our study showed no difference in IL-6 reduction, hemodynamic stabilization, or mortality in patients with Cytosorb(®) treatment compared to a matched patient population.
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spelling pubmed-82959712021-07-23 Can the cytokine adsorber CytoSorb(®) help to mitigate cytokine storm and reduce mortality in critically ill patients? A propensity score matching analysis Scharf, Christina Schroeder, Ines Paal, Michael Winkels, Martin Irlbeck, Michael Zoller, Michael Liebchen, Uwe Ann Intensive Care Research BACKGROUND: A cytokine storm is life threatening for critically ill patients and is mainly caused by sepsis or severe trauma. In combination with supportive therapy, the cytokine adsorber Cytosorb(®) (CS) is increasingly used for the treatment of cytokine storm. However, it is questionable whether its use is actually beneficial in these patients. METHODS: Patients with an interleukin-6 (IL-6) > 10,000 pg/ml were retrospectively included between October 2014 and May 2020 and were divided into two groups (group 1: CS therapy; group 2: no CS therapy). Inclusion criteria were a regularly measured IL-6 and, for patients allocated to group 1, CS therapy for at least 90 min. A propensity score (PS) matching analysis with significant baseline differences as predictors (Simplified Acute Physiology Score (SAPS) II, extracorporeal membrane oxygenation, renal replacement therapy, IL-6, lactate and norepinephrine demand) was performed to compare both groups (adjustment tolerance: < 0.05; standardization tolerance: < 10%). U-test and Fisher’s-test were used for independent variables and the Wilcoxon test was used for dependent variables. RESULTS: In total, 143 patients were included in the initial evaluation (group 1: 38; group 2: 105). Nineteen comparable pairings could be formed (mean initial IL-6: 58,385 vs. 59,812 pg/ml; mean SAPS II: 77 vs. 75). There was a significant reduction in IL-6 in patients with (p < 0.001) and without CS treatment (p = 0.005). However, there was no significant difference (p = 0.708) in the median relative reduction in both groups (89% vs. 80%). Furthermore, there was no significant difference in the relative change in C-reactive protein, lactate, or norepinephrine demand in either group and the in-hospital mortality was similar between groups (73.7%). CONCLUSION: Our study showed no difference in IL-6 reduction, hemodynamic stabilization, or mortality in patients with Cytosorb(®) treatment compared to a matched patient population. Springer International Publishing 2021-07-22 /pmc/articles/PMC8295971/ /pubmed/34292421 http://dx.doi.org/10.1186/s13613-021-00905-6 Text en © The Author(s) 2021 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/) .
spellingShingle Research
Scharf, Christina
Schroeder, Ines
Paal, Michael
Winkels, Martin
Irlbeck, Michael
Zoller, Michael
Liebchen, Uwe
Can the cytokine adsorber CytoSorb(®) help to mitigate cytokine storm and reduce mortality in critically ill patients? A propensity score matching analysis
title Can the cytokine adsorber CytoSorb(®) help to mitigate cytokine storm and reduce mortality in critically ill patients? A propensity score matching analysis
title_full Can the cytokine adsorber CytoSorb(®) help to mitigate cytokine storm and reduce mortality in critically ill patients? A propensity score matching analysis
title_fullStr Can the cytokine adsorber CytoSorb(®) help to mitigate cytokine storm and reduce mortality in critically ill patients? A propensity score matching analysis
title_full_unstemmed Can the cytokine adsorber CytoSorb(®) help to mitigate cytokine storm and reduce mortality in critically ill patients? A propensity score matching analysis
title_short Can the cytokine adsorber CytoSorb(®) help to mitigate cytokine storm and reduce mortality in critically ill patients? A propensity score matching analysis
title_sort can the cytokine adsorber cytosorb(®) help to mitigate cytokine storm and reduce mortality in critically ill patients? a propensity score matching analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295971/
https://www.ncbi.nlm.nih.gov/pubmed/34292421
http://dx.doi.org/10.1186/s13613-021-00905-6
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