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Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy
The incidence of acute kidney injury (AKI) is increasing every year and many patients with AKI admitted to the intensive care unit (ICU) require continuous renal replacement therapy (CRRT). This study compared and analyzed severity scoring systems to assess their suitability in predicting mortality...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212150/ https://www.ncbi.nlm.nih.gov/pubmed/37228073 http://dx.doi.org/10.1371/journal.pone.0286246 |
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author | Park, Hyunmyung Yang, Jihyun Chun, Byung Chul |
author_facet | Park, Hyunmyung Yang, Jihyun Chun, Byung Chul |
author_sort | Park, Hyunmyung |
collection | PubMed |
description | The incidence of acute kidney injury (AKI) is increasing every year and many patients with AKI admitted to the intensive care unit (ICU) require continuous renal replacement therapy (CRRT). This study compared and analyzed severity scoring systems to assess their suitability in predicting mortality in critically ill patients receiving CRRT. Data from 612 patients receiving CRRT in four ICUs of the Korea University Medical Center between January 2016 and November 2018 were retrospectively collected. The mean age of all patients was 67.6 ± 14.8 years, and the proportion of males was 59.6%. The endpoints were in-hospital mortality and 7-day mortality from the day of CRRT initiation to the date of death. The Program to Improve Care in Acute Renal Disease (PICARD), Demirjian’s, Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) 3, Sequential Organ Failure Assessment (SOFA), Multiple Organ Dysfunction Score (MODS), and Liano’s scores were used to predict mortality. The in-hospital and 7-day mortality rates in the study population were 72.7% and 45.1%, respectively. The area under the receiver operator characteristic curve (AUROC) revealed the highest discrimination ability for Demirjian’s score (0.770), followed by Liano’s score (0.728) and APACHE II (0.710). The AUROC curves for the SAPS 3, MODS, and PICARD were 0.671, 0.665, and 0.658, respectively. The AUROC of Demirjian’s score was significantly higher than that of the other scores, except for Liano’s score. The Hosmer-Lemeshow test on Demirjian’s score showed a poor fit in our analysis; however, it was more acceptable than general severity scores. Kidney-specific severity scoring systems showed better performance in predicting mortality in critically ill patients receiving CRRT than general severity scoring systems. |
format | Online Article Text |
id | pubmed-10212150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-102121502023-05-26 Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy Park, Hyunmyung Yang, Jihyun Chun, Byung Chul PLoS One Research Article The incidence of acute kidney injury (AKI) is increasing every year and many patients with AKI admitted to the intensive care unit (ICU) require continuous renal replacement therapy (CRRT). This study compared and analyzed severity scoring systems to assess their suitability in predicting mortality in critically ill patients receiving CRRT. Data from 612 patients receiving CRRT in four ICUs of the Korea University Medical Center between January 2016 and November 2018 were retrospectively collected. The mean age of all patients was 67.6 ± 14.8 years, and the proportion of males was 59.6%. The endpoints were in-hospital mortality and 7-day mortality from the day of CRRT initiation to the date of death. The Program to Improve Care in Acute Renal Disease (PICARD), Demirjian’s, Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) 3, Sequential Organ Failure Assessment (SOFA), Multiple Organ Dysfunction Score (MODS), and Liano’s scores were used to predict mortality. The in-hospital and 7-day mortality rates in the study population were 72.7% and 45.1%, respectively. The area under the receiver operator characteristic curve (AUROC) revealed the highest discrimination ability for Demirjian’s score (0.770), followed by Liano’s score (0.728) and APACHE II (0.710). The AUROC curves for the SAPS 3, MODS, and PICARD were 0.671, 0.665, and 0.658, respectively. The AUROC of Demirjian’s score was significantly higher than that of the other scores, except for Liano’s score. The Hosmer-Lemeshow test on Demirjian’s score showed a poor fit in our analysis; however, it was more acceptable than general severity scores. Kidney-specific severity scoring systems showed better performance in predicting mortality in critically ill patients receiving CRRT than general severity scoring systems. Public Library of Science 2023-05-25 /pmc/articles/PMC10212150/ /pubmed/37228073 http://dx.doi.org/10.1371/journal.pone.0286246 Text en © 2023 Park et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Park, Hyunmyung Yang, Jihyun Chun, Byung Chul Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy |
title | Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy |
title_full | Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy |
title_fullStr | Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy |
title_full_unstemmed | Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy |
title_short | Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy |
title_sort | assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212150/ https://www.ncbi.nlm.nih.gov/pubmed/37228073 http://dx.doi.org/10.1371/journal.pone.0286246 |
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