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A new criteria for acute on preexisting kidney dysfunction in critically ill patients
Critically ill patients with preexisting kidney dysfunction (PKD) are at high risk for acute kidney injury (AKI). Nevertheless, there is no criteria for screening and classifying AKI in patients with PKD. In this study, after assessing relationship between the change in SCr from baseline and in-hosp...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897760/ https://www.ncbi.nlm.nih.gov/pubmed/36728812 http://dx.doi.org/10.1080/0886022X.2023.2173498 |
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author | Hong, Dejiang Ren, Qinghuan Zhang, Jie Dong, Fubo Chen, Shiqiang Dong, Wei Chen, Xiaoyan Chen, Longwang Yao, Yongming Lu, Zhongqiu Zhao, Guangju |
author_facet | Hong, Dejiang Ren, Qinghuan Zhang, Jie Dong, Fubo Chen, Shiqiang Dong, Wei Chen, Xiaoyan Chen, Longwang Yao, Yongming Lu, Zhongqiu Zhao, Guangju |
author_sort | Hong, Dejiang |
collection | PubMed |
description | Critically ill patients with preexisting kidney dysfunction (PKD) are at high risk for acute kidney injury (AKI). Nevertheless, there is no criteria for screening and classifying AKI in patients with PKD. In this study, after assessing relationship between the change in SCr from baseline and in-hospital mortality, a new criteria, named APKD, for identifying AKI in PKD was proposed. APKD defined AKI in critically ill patients with PKD as an absolute increase of ≥ 0.2 mg/dL in SCr within 48 h or an increase in SCr ≥ 1.1 times over baseline within 7 d. APKD detected more AKI among PKD patients compared with the other criteria. Additionally, the AKI patients identified by APKD but missed by the other criteria had higher mortality than those without AKI. APKD shows higher sensitivities than KDIGO criteria in predicating in-hospital mortality. APKD, but not the KDIGO, is effective for staging the severity of AKI in patients with PKD. In conclusion, APKD is more effective in screening and classifying AKI in critically ill patients with PKD compared with the earlier criteria, and it may helpful in guiding clinical treatment and predicting prognosis. |
format | Online Article Text |
id | pubmed-9897760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-98977602023-02-04 A new criteria for acute on preexisting kidney dysfunction in critically ill patients Hong, Dejiang Ren, Qinghuan Zhang, Jie Dong, Fubo Chen, Shiqiang Dong, Wei Chen, Xiaoyan Chen, Longwang Yao, Yongming Lu, Zhongqiu Zhao, Guangju Ren Fail Clinical Study Critically ill patients with preexisting kidney dysfunction (PKD) are at high risk for acute kidney injury (AKI). Nevertheless, there is no criteria for screening and classifying AKI in patients with PKD. In this study, after assessing relationship between the change in SCr from baseline and in-hospital mortality, a new criteria, named APKD, for identifying AKI in PKD was proposed. APKD defined AKI in critically ill patients with PKD as an absolute increase of ≥ 0.2 mg/dL in SCr within 48 h or an increase in SCr ≥ 1.1 times over baseline within 7 d. APKD detected more AKI among PKD patients compared with the other criteria. Additionally, the AKI patients identified by APKD but missed by the other criteria had higher mortality than those without AKI. APKD shows higher sensitivities than KDIGO criteria in predicating in-hospital mortality. APKD, but not the KDIGO, is effective for staging the severity of AKI in patients with PKD. In conclusion, APKD is more effective in screening and classifying AKI in critically ill patients with PKD compared with the earlier criteria, and it may helpful in guiding clinical treatment and predicting prognosis. Taylor & Francis 2023-02-02 /pmc/articles/PMC9897760/ /pubmed/36728812 http://dx.doi.org/10.1080/0886022X.2023.2173498 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Study Hong, Dejiang Ren, Qinghuan Zhang, Jie Dong, Fubo Chen, Shiqiang Dong, Wei Chen, Xiaoyan Chen, Longwang Yao, Yongming Lu, Zhongqiu Zhao, Guangju A new criteria for acute on preexisting kidney dysfunction in critically ill patients |
title | A new criteria for acute on preexisting kidney dysfunction in critically ill patients |
title_full | A new criteria for acute on preexisting kidney dysfunction in critically ill patients |
title_fullStr | A new criteria for acute on preexisting kidney dysfunction in critically ill patients |
title_full_unstemmed | A new criteria for acute on preexisting kidney dysfunction in critically ill patients |
title_short | A new criteria for acute on preexisting kidney dysfunction in critically ill patients |
title_sort | new criteria for acute on preexisting kidney dysfunction in critically ill patients |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897760/ https://www.ncbi.nlm.nih.gov/pubmed/36728812 http://dx.doi.org/10.1080/0886022X.2023.2173498 |
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