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The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial

BACKGROUND: This study assessed the ability of mid-regional proadrenomedullin (MR-proADM) in comparison to conventional biomarkers (procalcitonin (PCT), lactate, C-reactive protein) and clinical scores to identify disease severity in patients with sepsis. METHODS: This is a secondary analysis of a r...

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Autores principales: Elke, Gunnar, Bloos, Frank, Wilson, Darius Cameron, Brunkhorst, Frank Martin, Briegel, Josef, Reinhart, Konrad, Loeffler, Markus, Kluge, Stefan, Nierhaus, Axel, Jaschinski, Ulrich, Moerer, Onnen, Weyland, Andreas, Meybohm, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863464/
https://www.ncbi.nlm.nih.gov/pubmed/29562917
http://dx.doi.org/10.1186/s13054-018-2001-5
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author Elke, Gunnar
Bloos, Frank
Wilson, Darius Cameron
Brunkhorst, Frank Martin
Briegel, Josef
Reinhart, Konrad
Loeffler, Markus
Kluge, Stefan
Nierhaus, Axel
Jaschinski, Ulrich
Moerer, Onnen
Weyland, Andreas
Meybohm, Patrick
author_facet Elke, Gunnar
Bloos, Frank
Wilson, Darius Cameron
Brunkhorst, Frank Martin
Briegel, Josef
Reinhart, Konrad
Loeffler, Markus
Kluge, Stefan
Nierhaus, Axel
Jaschinski, Ulrich
Moerer, Onnen
Weyland, Andreas
Meybohm, Patrick
author_sort Elke, Gunnar
collection PubMed
description BACKGROUND: This study assessed the ability of mid-regional proadrenomedullin (MR-proADM) in comparison to conventional biomarkers (procalcitonin (PCT), lactate, C-reactive protein) and clinical scores to identify disease severity in patients with sepsis. METHODS: This is a secondary analysis of a randomised controlled trial in patients with severe sepsis or septic shock across 33 German intensive care units. The association between biomarkers and clinical scores with mortality was assessed by Cox regression analysis, area under the receiver operating characteristic and Kaplan-Meier curves. Patients were stratified into three severity groups (low, intermediate, high) for all biomarkers and scores based on cutoffs with either a 90% sensitivity or specificity. RESULTS: 1089 patients with a 28-day mortality rate of 26.9% were analysed. According to the Sepsis-3 definition, 41.2% and 58.8% fulfilled the criteria for sepsis and septic shock, with respective mortality rates of 20.0% and 32.1%. MR-proADM had the strongest association with mortality across all Sepsis-1 and Sepsis-3 subgroups and could facilitate a more accurate classification of low (e.g. MR-proADM vs. SOFA: N = 265 vs. 232; 9.8% vs. 13.8% mortality) and high (e.g. MR-proADM vs. SOFA: N = 161 vs. 155; 55.9% vs. 41.3% mortality) disease severity. Patients with decreasing PCT concentrations of either ≥ 20% (baseline to day 1) or ≥ 50% (baseline to day 4) but continuously high MR-proADM concentrations had a significantly increased mortality risk (HR (95% CI): 19.1 (8.0–45.9) and 43.1 (10.1–184.0)). CONCLUSIONS: MR-proADM identifies disease severity and treatment response more accurately than established biomarkers and scores, adding additional information to facilitate rapid clinical decision-making and improve personalised sepsis treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-018-2001-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-58634642018-03-27 The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial Elke, Gunnar Bloos, Frank Wilson, Darius Cameron Brunkhorst, Frank Martin Briegel, Josef Reinhart, Konrad Loeffler, Markus Kluge, Stefan Nierhaus, Axel Jaschinski, Ulrich Moerer, Onnen Weyland, Andreas Meybohm, Patrick Crit Care Research BACKGROUND: This study assessed the ability of mid-regional proadrenomedullin (MR-proADM) in comparison to conventional biomarkers (procalcitonin (PCT), lactate, C-reactive protein) and clinical scores to identify disease severity in patients with sepsis. METHODS: This is a secondary analysis of a randomised controlled trial in patients with severe sepsis or septic shock across 33 German intensive care units. The association between biomarkers and clinical scores with mortality was assessed by Cox regression analysis, area under the receiver operating characteristic and Kaplan-Meier curves. Patients were stratified into three severity groups (low, intermediate, high) for all biomarkers and scores based on cutoffs with either a 90% sensitivity or specificity. RESULTS: 1089 patients with a 28-day mortality rate of 26.9% were analysed. According to the Sepsis-3 definition, 41.2% and 58.8% fulfilled the criteria for sepsis and septic shock, with respective mortality rates of 20.0% and 32.1%. MR-proADM had the strongest association with mortality across all Sepsis-1 and Sepsis-3 subgroups and could facilitate a more accurate classification of low (e.g. MR-proADM vs. SOFA: N = 265 vs. 232; 9.8% vs. 13.8% mortality) and high (e.g. MR-proADM vs. SOFA: N = 161 vs. 155; 55.9% vs. 41.3% mortality) disease severity. Patients with decreasing PCT concentrations of either ≥ 20% (baseline to day 1) or ≥ 50% (baseline to day 4) but continuously high MR-proADM concentrations had a significantly increased mortality risk (HR (95% CI): 19.1 (8.0–45.9) and 43.1 (10.1–184.0)). CONCLUSIONS: MR-proADM identifies disease severity and treatment response more accurately than established biomarkers and scores, adding additional information to facilitate rapid clinical decision-making and improve personalised sepsis treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-018-2001-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-21 /pmc/articles/PMC5863464/ /pubmed/29562917 http://dx.doi.org/10.1186/s13054-018-2001-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Elke, Gunnar
Bloos, Frank
Wilson, Darius Cameron
Brunkhorst, Frank Martin
Briegel, Josef
Reinhart, Konrad
Loeffler, Markus
Kluge, Stefan
Nierhaus, Axel
Jaschinski, Ulrich
Moerer, Onnen
Weyland, Andreas
Meybohm, Patrick
The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial
title The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial
title_full The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial
title_fullStr The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial
title_full_unstemmed The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial
title_short The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial
title_sort use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863464/
https://www.ncbi.nlm.nih.gov/pubmed/29562917
http://dx.doi.org/10.1186/s13054-018-2001-5
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