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The potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study

INTRODUCTION: Traditional risk scoring prediction models for trauma use either anatomically based estimations of injury or presenting vital signs. Markers of organ dysfunction may provide additional prognostic capability to these models. The objective of this study was to evaluate if urinary biomark...

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Autores principales: Stewart, Ian J., Glass, Kristen R., Howard, Jeffrey T., Morrow, Benjamin D., Sosnov, Jonathan A., Siew, Edward D., Wickersham, Nancy, Latack, Wayne, Kwan, Hana K., Heegard, Kelly D., Diaz, Christina, Henderson, Aaron T., Saenz, Kristin K., Ikizler, T. Alp, Chung, Kevin K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487799/
https://www.ncbi.nlm.nih.gov/pubmed/26077788
http://dx.doi.org/10.1186/s13054-015-0965-y
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author Stewart, Ian J.
Glass, Kristen R.
Howard, Jeffrey T.
Morrow, Benjamin D.
Sosnov, Jonathan A.
Siew, Edward D.
Wickersham, Nancy
Latack, Wayne
Kwan, Hana K.
Heegard, Kelly D.
Diaz, Christina
Henderson, Aaron T.
Saenz, Kristin K.
Ikizler, T. Alp
Chung, Kevin K.
author_facet Stewart, Ian J.
Glass, Kristen R.
Howard, Jeffrey T.
Morrow, Benjamin D.
Sosnov, Jonathan A.
Siew, Edward D.
Wickersham, Nancy
Latack, Wayne
Kwan, Hana K.
Heegard, Kelly D.
Diaz, Christina
Henderson, Aaron T.
Saenz, Kristin K.
Ikizler, T. Alp
Chung, Kevin K.
author_sort Stewart, Ian J.
collection PubMed
description INTRODUCTION: Traditional risk scoring prediction models for trauma use either anatomically based estimations of injury or presenting vital signs. Markers of organ dysfunction may provide additional prognostic capability to these models. The objective of this study was to evaluate if urinary biomarkers are associated with poor outcomes, including death and the need for renal replacement therapy. METHODS: We conducted a prospective, observational study in United States Military personnel with traumatic injury admitted to the intensive care unit at a combat support hospital in Afghanistan. RESULTS: Eighty nine patients with urine samples drawn at admission to the intensive care unit were studied. Twelve patients subsequently died or needed renal replacement therapy. Median admission levels of urinary cystatin C (CyC), interleukin 18 (IL-18), L-type fatty acid binding protein (LFABP) and neutrophil gelatinase-associated lipocalin (NGAL) were significantly higher in patients that developed the combined outcome of death or need for renal replacement therapy. Median admission levels of kidney injury molecule-1 were not associated with the combined outcome. The area under the receiver operating characteristic curves for the combined outcome were 0.815, 0.682, 0.842 and 0.820 for CyC, IL-18, LFABP and NGAL, respectively. Multivariable regression adjusted for injury severity score, revealed CyC (OR 1.97, 95 % confidence interval 1.26-3.10, p = 0.003), LFABP (OR 1.92, 95 % confidence interval 1.24-2.99, p = 0.004) and NGAL (OR 1.80, 95 % confidence interval 1.21-2.66, p = 0.004) to be significantly associated with the composite outcome. CONCLUSIONS: Urinary biomarker levels at the time of admission are associated with death or need for renal replacement therapy. Larger multicenter studies will be required to determine how urinary biomarkers can best be used in future prediction models. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13054-015-0965-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-44877992015-07-02 The potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study Stewart, Ian J. Glass, Kristen R. Howard, Jeffrey T. Morrow, Benjamin D. Sosnov, Jonathan A. Siew, Edward D. Wickersham, Nancy Latack, Wayne Kwan, Hana K. Heegard, Kelly D. Diaz, Christina Henderson, Aaron T. Saenz, Kristin K. Ikizler, T. Alp Chung, Kevin K. Crit Care Research INTRODUCTION: Traditional risk scoring prediction models for trauma use either anatomically based estimations of injury or presenting vital signs. Markers of organ dysfunction may provide additional prognostic capability to these models. The objective of this study was to evaluate if urinary biomarkers are associated with poor outcomes, including death and the need for renal replacement therapy. METHODS: We conducted a prospective, observational study in United States Military personnel with traumatic injury admitted to the intensive care unit at a combat support hospital in Afghanistan. RESULTS: Eighty nine patients with urine samples drawn at admission to the intensive care unit were studied. Twelve patients subsequently died or needed renal replacement therapy. Median admission levels of urinary cystatin C (CyC), interleukin 18 (IL-18), L-type fatty acid binding protein (LFABP) and neutrophil gelatinase-associated lipocalin (NGAL) were significantly higher in patients that developed the combined outcome of death or need for renal replacement therapy. Median admission levels of kidney injury molecule-1 were not associated with the combined outcome. The area under the receiver operating characteristic curves for the combined outcome were 0.815, 0.682, 0.842 and 0.820 for CyC, IL-18, LFABP and NGAL, respectively. Multivariable regression adjusted for injury severity score, revealed CyC (OR 1.97, 95 % confidence interval 1.26-3.10, p = 0.003), LFABP (OR 1.92, 95 % confidence interval 1.24-2.99, p = 0.004) and NGAL (OR 1.80, 95 % confidence interval 1.21-2.66, p = 0.004) to be significantly associated with the composite outcome. CONCLUSIONS: Urinary biomarker levels at the time of admission are associated with death or need for renal replacement therapy. Larger multicenter studies will be required to determine how urinary biomarkers can best be used in future prediction models. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13054-015-0965-y) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-16 2015 /pmc/articles/PMC4487799/ /pubmed/26077788 http://dx.doi.org/10.1186/s13054-015-0965-y Text en © Stewart et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Stewart, Ian J.
Glass, Kristen R.
Howard, Jeffrey T.
Morrow, Benjamin D.
Sosnov, Jonathan A.
Siew, Edward D.
Wickersham, Nancy
Latack, Wayne
Kwan, Hana K.
Heegard, Kelly D.
Diaz, Christina
Henderson, Aaron T.
Saenz, Kristin K.
Ikizler, T. Alp
Chung, Kevin K.
The potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study
title The potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study
title_full The potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study
title_fullStr The potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study
title_full_unstemmed The potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study
title_short The potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study
title_sort potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487799/
https://www.ncbi.nlm.nih.gov/pubmed/26077788
http://dx.doi.org/10.1186/s13054-015-0965-y
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