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Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury

Although significant improvements have been achieved in the renal replacement therapy of acute kidney injury (AKI), the mortality of patients with AKI remains high. The aim of this study is to prospectively investigate the capacity of Acute Physiology and Chronic Health Evaluation version II (APACHE...

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Detalles Bibliográficos
Autores principales: Gong, Yu, Ding, Feng, Zhang, Fen, Gu, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900215/
https://www.ncbi.nlm.nih.gov/pubmed/31575668
http://dx.doi.org/10.1136/jim-2019-001003
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author Gong, Yu
Ding, Feng
Zhang, Fen
Gu, Yong
author_facet Gong, Yu
Ding, Feng
Zhang, Fen
Gu, Yong
author_sort Gong, Yu
collection PubMed
description Although significant improvements have been achieved in the renal replacement therapy of acute kidney injury (AKI), the mortality of patients with AKI remains high. The aim of this study is to prospectively investigate the capacity of Acute Physiology and Chronic Health Evaluation version II (APACHE II), Simplified Acute Physiology Score version II (SAPS II), Sepsis-related Organ Failure Assessment (SOFA) and Acute Tubular Necrosis Individual Severity Index (ATN-ISI) to predict in-hospital mortality of critically ill patients with AKI. A prospective observational study was conducted in a university teaching hospital. 189 consecutive critically ill patients with AKI were selected according Risk, Injury, Failure, Loss, or End-stage kidney disease criteria. APACHE II, SAPS II, SOFA and ATN-ISI counts were obtained within the first 24 hours following admission. Receiver operating characteristic analyses (ROCs) were applied. Area under the ROC curve (AUC) was calculated. Sensitivity and specificity of in-hospital mortality prediction were calculated. In this study, the in-hospital mortality of critically ill patients with AKI was 37.04% (70/189). AUC of APACHE II, SAPS II, SOFA and ATN-ISI was 0.903 (95% CI 0.856 to 0.950), 0.893 (95% CI 0.847 to 0.940), 0.908 (95% CI 0.866 to 0.950) and 0.889 (95% CI 0.841 to 0.937) and sensitivity was 90.76%, 89.92%, 90.76% and 89.08% and specificity was 77.14%, 70.00%, 71.43% and 71.43%, respectively. In this study, it was found APACHE II, SAPS II, SOFA and ATN-ISI are reliable in-hospital mortality predictors of critically ill patients with AKI. Trial registration number: NCT00953992.
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spelling pubmed-69002152019-12-23 Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury Gong, Yu Ding, Feng Zhang, Fen Gu, Yong J Investig Med Original Research Although significant improvements have been achieved in the renal replacement therapy of acute kidney injury (AKI), the mortality of patients with AKI remains high. The aim of this study is to prospectively investigate the capacity of Acute Physiology and Chronic Health Evaluation version II (APACHE II), Simplified Acute Physiology Score version II (SAPS II), Sepsis-related Organ Failure Assessment (SOFA) and Acute Tubular Necrosis Individual Severity Index (ATN-ISI) to predict in-hospital mortality of critically ill patients with AKI. A prospective observational study was conducted in a university teaching hospital. 189 consecutive critically ill patients with AKI were selected according Risk, Injury, Failure, Loss, or End-stage kidney disease criteria. APACHE II, SAPS II, SOFA and ATN-ISI counts were obtained within the first 24 hours following admission. Receiver operating characteristic analyses (ROCs) were applied. Area under the ROC curve (AUC) was calculated. Sensitivity and specificity of in-hospital mortality prediction were calculated. In this study, the in-hospital mortality of critically ill patients with AKI was 37.04% (70/189). AUC of APACHE II, SAPS II, SOFA and ATN-ISI was 0.903 (95% CI 0.856 to 0.950), 0.893 (95% CI 0.847 to 0.940), 0.908 (95% CI 0.866 to 0.950) and 0.889 (95% CI 0.841 to 0.937) and sensitivity was 90.76%, 89.92%, 90.76% and 89.08% and specificity was 77.14%, 70.00%, 71.43% and 71.43%, respectively. In this study, it was found APACHE II, SAPS II, SOFA and ATN-ISI are reliable in-hospital mortality predictors of critically ill patients with AKI. Trial registration number: NCT00953992. BMJ Publishing Group 2019-12 2019-10-01 /pmc/articles/PMC6900215/ /pubmed/31575668 http://dx.doi.org/10.1136/jim-2019-001003 Text en © American Federation for Medical Research 2019. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, an indication of whether changes were made, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Gong, Yu
Ding, Feng
Zhang, Fen
Gu, Yong
Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury
title Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury
title_full Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury
title_fullStr Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury
title_full_unstemmed Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury
title_short Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury
title_sort investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900215/
https://www.ncbi.nlm.nih.gov/pubmed/31575668
http://dx.doi.org/10.1136/jim-2019-001003
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