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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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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. |
format | Online Article Text |
id | pubmed-6900215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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