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Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach

Septic shock remains a major problem in Intensive Care Unit, with high lethality and high-risk second lines treatments. In this preliminary retrospective investigation we examined plasma metabolome and clinical features in a subset of 20 patients with severe septic shock (SOFA score >8), enrolled...

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Autores principales: Ferrario, Manuela, Cambiaghi, Alice, Brunelli, Laura, Giordano, Silvia, Caironi, Pietro, Guatteri, Luca, Raimondi, Ferdinando, Gattinoni, Luciano, Latini, Roberto, Masson, Serge, Ristagno, Giuseppe, Pastorelli, Roberta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4742912/
https://www.ncbi.nlm.nih.gov/pubmed/26847922
http://dx.doi.org/10.1038/srep20391
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author Ferrario, Manuela
Cambiaghi, Alice
Brunelli, Laura
Giordano, Silvia
Caironi, Pietro
Guatteri, Luca
Raimondi, Ferdinando
Gattinoni, Luciano
Latini, Roberto
Masson, Serge
Ristagno, Giuseppe
Pastorelli, Roberta
author_facet Ferrario, Manuela
Cambiaghi, Alice
Brunelli, Laura
Giordano, Silvia
Caironi, Pietro
Guatteri, Luca
Raimondi, Ferdinando
Gattinoni, Luciano
Latini, Roberto
Masson, Serge
Ristagno, Giuseppe
Pastorelli, Roberta
author_sort Ferrario, Manuela
collection PubMed
description Septic shock remains a major problem in Intensive Care Unit, with high lethality and high-risk second lines treatments. In this preliminary retrospective investigation we examined plasma metabolome and clinical features in a subset of 20 patients with severe septic shock (SOFA score >8), enrolled in the multicenter Albumin Italian Outcome Sepsis study (ALBIOS, NCT00707122). Our purpose was to evaluate the changes of circulating metabolites in relation to mortality as a pilot study to be extended in a larger cohort. Patients were analyzed according to their 28-days and 90-days mortality. Metabolites were measured using a targeted mass spectrometry-based quantitative metabolomic approach that included acylcarnitines, aminoacids, biogenic amines, glycerophospholipids, sphingolipids, and sugars. Data-mining techniques were applied to evaluate the association of metabolites with mortality. Low unsaturated long-chain phosphatidylcholines and lysophosphatidylcholines species were associated with long-term survival (90-days) together with circulating kynurenine. Moreover, a decrease of these glycerophospholipids was associated to the event at 28-days and 90-days in combination with clinical variables such as cardiovascular SOFA score (28-day mortality model) or renal replacement therapy (90-day mortality model). Early changes in the plasma levels of both lipid species and kynurenine associated with mortality have potential implications for early intervention and discovering new target therapy.
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spelling pubmed-47429122016-02-09 Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach Ferrario, Manuela Cambiaghi, Alice Brunelli, Laura Giordano, Silvia Caironi, Pietro Guatteri, Luca Raimondi, Ferdinando Gattinoni, Luciano Latini, Roberto Masson, Serge Ristagno, Giuseppe Pastorelli, Roberta Sci Rep Article Septic shock remains a major problem in Intensive Care Unit, with high lethality and high-risk second lines treatments. In this preliminary retrospective investigation we examined plasma metabolome and clinical features in a subset of 20 patients with severe septic shock (SOFA score >8), enrolled in the multicenter Albumin Italian Outcome Sepsis study (ALBIOS, NCT00707122). Our purpose was to evaluate the changes of circulating metabolites in relation to mortality as a pilot study to be extended in a larger cohort. Patients were analyzed according to their 28-days and 90-days mortality. Metabolites were measured using a targeted mass spectrometry-based quantitative metabolomic approach that included acylcarnitines, aminoacids, biogenic amines, glycerophospholipids, sphingolipids, and sugars. Data-mining techniques were applied to evaluate the association of metabolites with mortality. Low unsaturated long-chain phosphatidylcholines and lysophosphatidylcholines species were associated with long-term survival (90-days) together with circulating kynurenine. Moreover, a decrease of these glycerophospholipids was associated to the event at 28-days and 90-days in combination with clinical variables such as cardiovascular SOFA score (28-day mortality model) or renal replacement therapy (90-day mortality model). Early changes in the plasma levels of both lipid species and kynurenine associated with mortality have potential implications for early intervention and discovering new target therapy. Nature Publishing Group 2016-02-05 /pmc/articles/PMC4742912/ /pubmed/26847922 http://dx.doi.org/10.1038/srep20391 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ferrario, Manuela
Cambiaghi, Alice
Brunelli, Laura
Giordano, Silvia
Caironi, Pietro
Guatteri, Luca
Raimondi, Ferdinando
Gattinoni, Luciano
Latini, Roberto
Masson, Serge
Ristagno, Giuseppe
Pastorelli, Roberta
Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach
title Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach
title_full Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach
title_fullStr Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach
title_full_unstemmed Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach
title_short Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach
title_sort mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4742912/
https://www.ncbi.nlm.nih.gov/pubmed/26847922
http://dx.doi.org/10.1038/srep20391
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