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A Combined Score of Circulating miRNAs Allows Outcome Prediction in Critically Ill Patients

Background and aims: Identification of patients with increased risk of mortality represents an important prerequisite for an adapted adequate and individualized treatment of critically ill patients. Circulating micro-RNA (miRNA) levels have been suggested as potential biomarkers at the intensive car...

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Autores principales: Roderburg, Christoph, Benz, Fabian, Koch, Alexander, Loosen, Sven H., Spehlmann, Martina, Luedde, Mark, Wree, Alexander, Vucur, Mihael, Trautwein, Christian, Tacke, Frank, Luedde, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832199/
https://www.ncbi.nlm.nih.gov/pubmed/31601014
http://dx.doi.org/10.3390/jcm8101644
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author Roderburg, Christoph
Benz, Fabian
Koch, Alexander
Loosen, Sven H.
Spehlmann, Martina
Luedde, Mark
Wree, Alexander
Vucur, Mihael
Trautwein, Christian
Tacke, Frank
Luedde, Tom
author_facet Roderburg, Christoph
Benz, Fabian
Koch, Alexander
Loosen, Sven H.
Spehlmann, Martina
Luedde, Mark
Wree, Alexander
Vucur, Mihael
Trautwein, Christian
Tacke, Frank
Luedde, Tom
author_sort Roderburg, Christoph
collection PubMed
description Background and aims: Identification of patients with increased risk of mortality represents an important prerequisite for an adapted adequate and individualized treatment of critically ill patients. Circulating micro-RNA (miRNA) levels have been suggested as potential biomarkers at the intensive care unit (ICU), but none of the investigated miRNAs displayed a sufficient sensitivity or specificity to be routinely employed as a single marker in clinical practice. Methods and results: We recently described alterations in serum levels of 7 miRNAs (miR-122, miR-133a, miR-143, miR-150, miR-155, miR-192, and miR-223) in critically ill patients at a medical ICU. In this study, we re-analyzed these previously published data and performed a combined analysis of these markers to unravel their potential as a prognostic scoring system in the context of critical illness. Based on the Youden’s index method, cut-off values were systematically defined for dysregulated miRNAs, and a “miRNA survival score” was calculated. Patients with high scores displayed a dramatically impaired prognosis compared to patients with low values. Additionally, the predictive power of our score could be further increased when the patient’s age was additionally incorporated into this score. Conclusions: We describe the first miRNA-based biomarker score for prediction of medical patients’ outcome during and after ICU treatment. Adding the patients’ age into this score was associated with a further increase in its predictive power. Further studies are needed to validate the clinical utility of this score in risk-stratifying critically ill patients.
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spelling pubmed-68321992019-11-20 A Combined Score of Circulating miRNAs Allows Outcome Prediction in Critically Ill Patients Roderburg, Christoph Benz, Fabian Koch, Alexander Loosen, Sven H. Spehlmann, Martina Luedde, Mark Wree, Alexander Vucur, Mihael Trautwein, Christian Tacke, Frank Luedde, Tom J Clin Med Article Background and aims: Identification of patients with increased risk of mortality represents an important prerequisite for an adapted adequate and individualized treatment of critically ill patients. Circulating micro-RNA (miRNA) levels have been suggested as potential biomarkers at the intensive care unit (ICU), but none of the investigated miRNAs displayed a sufficient sensitivity or specificity to be routinely employed as a single marker in clinical practice. Methods and results: We recently described alterations in serum levels of 7 miRNAs (miR-122, miR-133a, miR-143, miR-150, miR-155, miR-192, and miR-223) in critically ill patients at a medical ICU. In this study, we re-analyzed these previously published data and performed a combined analysis of these markers to unravel their potential as a prognostic scoring system in the context of critical illness. Based on the Youden’s index method, cut-off values were systematically defined for dysregulated miRNAs, and a “miRNA survival score” was calculated. Patients with high scores displayed a dramatically impaired prognosis compared to patients with low values. Additionally, the predictive power of our score could be further increased when the patient’s age was additionally incorporated into this score. Conclusions: We describe the first miRNA-based biomarker score for prediction of medical patients’ outcome during and after ICU treatment. Adding the patients’ age into this score was associated with a further increase in its predictive power. Further studies are needed to validate the clinical utility of this score in risk-stratifying critically ill patients. MDPI 2019-10-09 /pmc/articles/PMC6832199/ /pubmed/31601014 http://dx.doi.org/10.3390/jcm8101644 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Roderburg, Christoph
Benz, Fabian
Koch, Alexander
Loosen, Sven H.
Spehlmann, Martina
Luedde, Mark
Wree, Alexander
Vucur, Mihael
Trautwein, Christian
Tacke, Frank
Luedde, Tom
A Combined Score of Circulating miRNAs Allows Outcome Prediction in Critically Ill Patients
title A Combined Score of Circulating miRNAs Allows Outcome Prediction in Critically Ill Patients
title_full A Combined Score of Circulating miRNAs Allows Outcome Prediction in Critically Ill Patients
title_fullStr A Combined Score of Circulating miRNAs Allows Outcome Prediction in Critically Ill Patients
title_full_unstemmed A Combined Score of Circulating miRNAs Allows Outcome Prediction in Critically Ill Patients
title_short A Combined Score of Circulating miRNAs Allows Outcome Prediction in Critically Ill Patients
title_sort combined score of circulating mirnas allows outcome prediction in critically ill patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832199/
https://www.ncbi.nlm.nih.gov/pubmed/31601014
http://dx.doi.org/10.3390/jcm8101644
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