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Prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study

BACKGROUND: Organ failure, including acute kidney injury (AKI), is the third leading cause of death after bleeding and brain injury in trauma patients. We sought to assess the prevalence, the risk factors and the impact of AKI on outcome after trauma. METHODS: We performed a retrospective analysis o...

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Autores principales: Harrois, Anatole, Soyer, Benjamin, Gauss, Tobias, Hamada, Sophie, Raux, Mathieu, Duranteau, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299611/
https://www.ncbi.nlm.nih.gov/pubmed/30563549
http://dx.doi.org/10.1186/s13054-018-2265-9
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author Harrois, Anatole
Soyer, Benjamin
Gauss, Tobias
Hamada, Sophie
Raux, Mathieu
Duranteau, Jacques
author_facet Harrois, Anatole
Soyer, Benjamin
Gauss, Tobias
Hamada, Sophie
Raux, Mathieu
Duranteau, Jacques
author_sort Harrois, Anatole
collection PubMed
description BACKGROUND: Organ failure, including acute kidney injury (AKI), is the third leading cause of death after bleeding and brain injury in trauma patients. We sought to assess the prevalence, the risk factors and the impact of AKI on outcome after trauma. METHODS: We performed a retrospective analysis of prospectively collected data from a multicenter trauma registry. AKI was defined according to the risk, injury, failure, loss of kidney function and end-stage kidney disease (RIFLE) classification from serum creatinine only. Prehospital and early hospital risk factors for AKI were identified using logistic regression analysis. The predictive models were internally validated using bootstrapping resampling technique. RESULTS: We included 3111 patients in the analysis. The incidence of AKI was 13% including 7% stage R, 3.7% stage I and 2.3% stage F. AKI incidence rose to 42.5% in patients presenting with hemorrhagic shock; 96% of AKI occurred within the 5 first days after trauma. In multivariate analysis, prehospital variables including minimum prehospital mean arterial pressure, maximum prehospital heart rate, secondary transfer to the trauma center and data early collected after hospital admission including injury severity score, renal trauma, blood lactate and hemorrhagic shock were independent risk factors in the models predicting AKI. The model had good discrimination with area under the receiver operating characteristic curve of 0.85 (0.82–0.88) to predict AKI stage I or F and 0.80 (0.77–0.83) to predict AKI of all stages. Rhabdomyolysis severity, assessed by the creatine kinase peak, was an additional independent risk factor for AKI when it was forced into the model (OR 1.041 (1.015–1.069) per step of 1000 U/mL, p < 0.001). AKI was independently associated with a twofold increase in ICU mortality. CONCLUSIONS: AKI has an early onset and is independently associated with mortality in trauma patients. Its prevalence varies by a factor 3 according to the severity of injuries and hemorrhage. Prehospital and early hospital risk factors can provide good performance for early prediction of AKI after trauma. Hence, studies aiming to prevent AKI should target patients at high risk of AKI and investigate therapies early in the course of trauma care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-018-2265-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-62996112018-12-20 Prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study Harrois, Anatole Soyer, Benjamin Gauss, Tobias Hamada, Sophie Raux, Mathieu Duranteau, Jacques Crit Care Research BACKGROUND: Organ failure, including acute kidney injury (AKI), is the third leading cause of death after bleeding and brain injury in trauma patients. We sought to assess the prevalence, the risk factors and the impact of AKI on outcome after trauma. METHODS: We performed a retrospective analysis of prospectively collected data from a multicenter trauma registry. AKI was defined according to the risk, injury, failure, loss of kidney function and end-stage kidney disease (RIFLE) classification from serum creatinine only. Prehospital and early hospital risk factors for AKI were identified using logistic regression analysis. The predictive models were internally validated using bootstrapping resampling technique. RESULTS: We included 3111 patients in the analysis. The incidence of AKI was 13% including 7% stage R, 3.7% stage I and 2.3% stage F. AKI incidence rose to 42.5% in patients presenting with hemorrhagic shock; 96% of AKI occurred within the 5 first days after trauma. In multivariate analysis, prehospital variables including minimum prehospital mean arterial pressure, maximum prehospital heart rate, secondary transfer to the trauma center and data early collected after hospital admission including injury severity score, renal trauma, blood lactate and hemorrhagic shock were independent risk factors in the models predicting AKI. The model had good discrimination with area under the receiver operating characteristic curve of 0.85 (0.82–0.88) to predict AKI stage I or F and 0.80 (0.77–0.83) to predict AKI of all stages. Rhabdomyolysis severity, assessed by the creatine kinase peak, was an additional independent risk factor for AKI when it was forced into the model (OR 1.041 (1.015–1.069) per step of 1000 U/mL, p < 0.001). AKI was independently associated with a twofold increase in ICU mortality. CONCLUSIONS: AKI has an early onset and is independently associated with mortality in trauma patients. Its prevalence varies by a factor 3 according to the severity of injuries and hemorrhage. Prehospital and early hospital risk factors can provide good performance for early prediction of AKI after trauma. Hence, studies aiming to prevent AKI should target patients at high risk of AKI and investigate therapies early in the course of trauma care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-018-2265-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-18 /pmc/articles/PMC6299611/ /pubmed/30563549 http://dx.doi.org/10.1186/s13054-018-2265-9 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
Harrois, Anatole
Soyer, Benjamin
Gauss, Tobias
Hamada, Sophie
Raux, Mathieu
Duranteau, Jacques
Prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study
title Prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study
title_full Prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study
title_fullStr Prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study
title_full_unstemmed Prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study
title_short Prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study
title_sort prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299611/
https://www.ncbi.nlm.nih.gov/pubmed/30563549
http://dx.doi.org/10.1186/s13054-018-2265-9
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