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Acute kidney injury risk in orthopaedic trauma patients pre and post surgery using a biomarker algorithm and clinical risk score

Acute kidney injury (AKI) after major trauma is associated with increased mortality. The aim of this study was to assess if measurement of blood biomarkers in combination with clinical characteristics could be used to develop a tool to assist clinicians in identifying which orthopaedic trauma patien...

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Autores principales: Kurth, Mary Jo, McBride, William T., McLean, Gavin, Watt, Joanne, Domanska, Anna, Lamont, John V., Maguire, Daniel, Fitzgerald, Peter, Ruddock, Mark W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673130/
https://www.ncbi.nlm.nih.gov/pubmed/33203963
http://dx.doi.org/10.1038/s41598-020-76929-y
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author Kurth, Mary Jo
McBride, William T.
McLean, Gavin
Watt, Joanne
Domanska, Anna
Lamont, John V.
Maguire, Daniel
Fitzgerald, Peter
Ruddock, Mark W.
author_facet Kurth, Mary Jo
McBride, William T.
McLean, Gavin
Watt, Joanne
Domanska, Anna
Lamont, John V.
Maguire, Daniel
Fitzgerald, Peter
Ruddock, Mark W.
author_sort Kurth, Mary Jo
collection PubMed
description Acute kidney injury (AKI) after major trauma is associated with increased mortality. The aim of this study was to assess if measurement of blood biomarkers in combination with clinical characteristics could be used to develop a tool to assist clinicians in identifying which orthopaedic trauma patients are at risk of AKI. This is a prospective study of 237 orthopaedic trauma patients who were consecutively scheduled for open reduction and internal fixation of their fracture between May 2012 and August 2013. Clinical characteristics were recorded, and 28 biomarkers were analysed in patient blood samples. Post operatively a combination of H-FABP, sTNFR1 and MK had the highest predictive ability to identify patients at risk of developing AKI (AUROC 0.885). Three clinical characteristics; age, dementia and hypertension were identified in the orthopaedic trauma patients as potential risks for the development of AKI. Combining biomarker data with clinical characteristics allowed us to develop a proactive AKI clinical tool, which grouped patients into four risk categories that were associated with a clinical management regime that impacted patient care, management, length of hospital stay, and efficient use of hospital resources.
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spelling pubmed-76731302020-11-19 Acute kidney injury risk in orthopaedic trauma patients pre and post surgery using a biomarker algorithm and clinical risk score Kurth, Mary Jo McBride, William T. McLean, Gavin Watt, Joanne Domanska, Anna Lamont, John V. Maguire, Daniel Fitzgerald, Peter Ruddock, Mark W. Sci Rep Article Acute kidney injury (AKI) after major trauma is associated with increased mortality. The aim of this study was to assess if measurement of blood biomarkers in combination with clinical characteristics could be used to develop a tool to assist clinicians in identifying which orthopaedic trauma patients are at risk of AKI. This is a prospective study of 237 orthopaedic trauma patients who were consecutively scheduled for open reduction and internal fixation of their fracture between May 2012 and August 2013. Clinical characteristics were recorded, and 28 biomarkers were analysed in patient blood samples. Post operatively a combination of H-FABP, sTNFR1 and MK had the highest predictive ability to identify patients at risk of developing AKI (AUROC 0.885). Three clinical characteristics; age, dementia and hypertension were identified in the orthopaedic trauma patients as potential risks for the development of AKI. Combining biomarker data with clinical characteristics allowed us to develop a proactive AKI clinical tool, which grouped patients into four risk categories that were associated with a clinical management regime that impacted patient care, management, length of hospital stay, and efficient use of hospital resources. Nature Publishing Group UK 2020-11-17 /pmc/articles/PMC7673130/ /pubmed/33203963 http://dx.doi.org/10.1038/s41598-020-76929-y Text en © The Author(s) 2020 Open Access This 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/.
spellingShingle Article
Kurth, Mary Jo
McBride, William T.
McLean, Gavin
Watt, Joanne
Domanska, Anna
Lamont, John V.
Maguire, Daniel
Fitzgerald, Peter
Ruddock, Mark W.
Acute kidney injury risk in orthopaedic trauma patients pre and post surgery using a biomarker algorithm and clinical risk score
title Acute kidney injury risk in orthopaedic trauma patients pre and post surgery using a biomarker algorithm and clinical risk score
title_full Acute kidney injury risk in orthopaedic trauma patients pre and post surgery using a biomarker algorithm and clinical risk score
title_fullStr Acute kidney injury risk in orthopaedic trauma patients pre and post surgery using a biomarker algorithm and clinical risk score
title_full_unstemmed Acute kidney injury risk in orthopaedic trauma patients pre and post surgery using a biomarker algorithm and clinical risk score
title_short Acute kidney injury risk in orthopaedic trauma patients pre and post surgery using a biomarker algorithm and clinical risk score
title_sort acute kidney injury risk in orthopaedic trauma patients pre and post surgery using a biomarker algorithm and clinical risk score
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673130/
https://www.ncbi.nlm.nih.gov/pubmed/33203963
http://dx.doi.org/10.1038/s41598-020-76929-y
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