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Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study
Acute kidney injury (AKI) is a serious complication in the intensive care unit (ICU), which may increase the mortality of critically ill patients. The red blood cell distribution width (RDW) has proved useful as a predictor of short-term prognosis in critically ill patients with AKI. However, it rem...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7067822/ https://www.ncbi.nlm.nih.gov/pubmed/32165684 http://dx.doi.org/10.1038/s41598-020-61516-y |
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author | Jia, Linpei Cui, Shijun Yang, Jingyan Jia, Qiang Hao, Lixiao Jia, Rufu Zhang, Hongliang |
author_facet | Jia, Linpei Cui, Shijun Yang, Jingyan Jia, Qiang Hao, Lixiao Jia, Rufu Zhang, Hongliang |
author_sort | Jia, Linpei |
collection | PubMed |
description | Acute kidney injury (AKI) is a serious complication in the intensive care unit (ICU), which may increase the mortality of critically ill patients. The red blood cell distribution width (RDW) has proved useful as a predictor of short-term prognosis in critically ill patients with AKI. However, it remains unknown whether RDW has a prognostic value of long-term all-cause mortality in these patients. The data of 18279 critically ill patients with AKI at first-time hospital admission were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The tertiles of the RDW values were used to divide subjects into three groups, namely RDW < 13.6% for the low RDW group, 13.6% ≤ RDW < 15.2% for the middle RDW group and RDW ≥ 15.2% for the high RDW group. Demographic data, mortality, 4-year survival time and severity scale scores were compared among groups. The Kaplan-Meier analysis and the Cox regression analysis were performed to assess the impact of RDW on all-cause mortality in AKI patients. The receiver operating characteristic (ROC) curve analysis was done to evaluate the prognostic value of RDW on the long-term outcome of critically ill patients with AKI. The median age of the enrolled subjects was 65.6 years. AKI patients with a higher RDW value had significantly shorter survival time and higher death rate. By the Kaplan-Meier analysis, patients in the higher RDW group presented significantly shorter survival time and higher death rate. The Cox regression model indicated RDW as an independent risk factor of all-cause mortality of AKI patients (HR 1.219, 95% CI, 1.211 to 1.228). By the ROC analysis, RDW appeared more efficient in predicting long-term prognosis as compared with conventional severity scales. The AUC of RDW (95% CI, 0.712 to 0.725) was significantly higher than other severity scale scores. In conclusion, RDW is positively correlated to survival time of 4-year follow-up in critically ill patients with AKI, and RDW is an independent prognostic factor of long-term outcomes of these patients. |
format | Online Article Text |
id | pubmed-7067822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70678222020-03-19 Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study Jia, Linpei Cui, Shijun Yang, Jingyan Jia, Qiang Hao, Lixiao Jia, Rufu Zhang, Hongliang Sci Rep Article Acute kidney injury (AKI) is a serious complication in the intensive care unit (ICU), which may increase the mortality of critically ill patients. The red blood cell distribution width (RDW) has proved useful as a predictor of short-term prognosis in critically ill patients with AKI. However, it remains unknown whether RDW has a prognostic value of long-term all-cause mortality in these patients. The data of 18279 critically ill patients with AKI at first-time hospital admission were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The tertiles of the RDW values were used to divide subjects into three groups, namely RDW < 13.6% for the low RDW group, 13.6% ≤ RDW < 15.2% for the middle RDW group and RDW ≥ 15.2% for the high RDW group. Demographic data, mortality, 4-year survival time and severity scale scores were compared among groups. The Kaplan-Meier analysis and the Cox regression analysis were performed to assess the impact of RDW on all-cause mortality in AKI patients. The receiver operating characteristic (ROC) curve analysis was done to evaluate the prognostic value of RDW on the long-term outcome of critically ill patients with AKI. The median age of the enrolled subjects was 65.6 years. AKI patients with a higher RDW value had significantly shorter survival time and higher death rate. By the Kaplan-Meier analysis, patients in the higher RDW group presented significantly shorter survival time and higher death rate. The Cox regression model indicated RDW as an independent risk factor of all-cause mortality of AKI patients (HR 1.219, 95% CI, 1.211 to 1.228). By the ROC analysis, RDW appeared more efficient in predicting long-term prognosis as compared with conventional severity scales. The AUC of RDW (95% CI, 0.712 to 0.725) was significantly higher than other severity scale scores. In conclusion, RDW is positively correlated to survival time of 4-year follow-up in critically ill patients with AKI, and RDW is an independent prognostic factor of long-term outcomes of these patients. Nature Publishing Group UK 2020-03-12 /pmc/articles/PMC7067822/ /pubmed/32165684 http://dx.doi.org/10.1038/s41598-020-61516-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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jia, Linpei Cui, Shijun Yang, Jingyan Jia, Qiang Hao, Lixiao Jia, Rufu Zhang, Hongliang Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study |
title | Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study |
title_full | Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study |
title_fullStr | Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study |
title_full_unstemmed | Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study |
title_short | Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study |
title_sort | red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7067822/ https://www.ncbi.nlm.nih.gov/pubmed/32165684 http://dx.doi.org/10.1038/s41598-020-61516-y |
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