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Acute kidney injury in hospitalized adults with chronic kidney disease: comparing cROCK, KDIGO, and combined criteria

BACKGROUND: Acute-on-chronic kidney disease (ACKD) increases the risk of progression of chronic kidney disease (CKD). This study aimed to evaluate the ability of a novel criteria of reference change value of the serum creatinine optimized criteria for acute kidney injury in CKD (cROCK) to detect ACK...

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Autores principales: Sun, Ling, Hua, Rui-Xue, Wu, Yu, Zou, Lu-Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Nephrology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565458/
https://www.ncbi.nlm.nih.gov/pubmed/37559227
http://dx.doi.org/10.23876/j.krcp.22.161
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author Sun, Ling
Hua, Rui-Xue
Wu, Yu
Zou, Lu-Xi
author_facet Sun, Ling
Hua, Rui-Xue
Wu, Yu
Zou, Lu-Xi
author_sort Sun, Ling
collection PubMed
description BACKGROUND: Acute-on-chronic kidney disease (ACKD) increases the risk of progression of chronic kidney disease (CKD). This study aimed to evaluate the ability of a novel criteria of reference change value of the serum creatinine optimized criteria for acute kidney injury in CKD (cROCK) to detect ACKD patients. METHODS: This was a retrospective observational study with a 3-year follow-up. All included patients with CKD stage 3 were evaluated using cROCK, Kidney Disease Improving Global Outcomes (KDIGO), and their combined criteria. The renal composite endpoints, major adverse cardiovascular events (MACEs), and all-cause mortality were recorded as clinical outcomes. RESULTS: A total of 812 patients was enrolled. The cROCK criteria detected more ACKD events than did the KDIGO (68.0% vs. 59.5%, p < 0.001). Compared to KDIGO (−) & cROCK (−) group, ACKD patients diagnosed by cROCK had significantly higher hazard ratio [HR] for renal composite endpoints (HR, 3.591; p < 0.001), MACEs (HR, 1.748; p < 0.001), and all-cause mortality (HR, 2.985; p < 0.001). The patients in KDIGO (+) & cROCK (+) group had the lowest survival probability when considering renal composite endpoints, MACEs, and all-cause mortality (all p < 0.001). Furthermore, cROCK resulted in the largest area under the receiver operating characteristic curve (AUC) for predicting renal composite endpoints, and the combined criteria led to the largest AUC for predicting MACEs and all-cause mortality. CONCLUSION: Compared to the KDIGO, the cROCK detected more ACKD events. Combining both cROCK and KDIGO criteria might improve the predictive ability for long-term outcomes in ACKD patients.
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spelling pubmed-105654582023-10-12 Acute kidney injury in hospitalized adults with chronic kidney disease: comparing cROCK, KDIGO, and combined criteria Sun, Ling Hua, Rui-Xue Wu, Yu Zou, Lu-Xi Kidney Res Clin Pract Original Article BACKGROUND: Acute-on-chronic kidney disease (ACKD) increases the risk of progression of chronic kidney disease (CKD). This study aimed to evaluate the ability of a novel criteria of reference change value of the serum creatinine optimized criteria for acute kidney injury in CKD (cROCK) to detect ACKD patients. METHODS: This was a retrospective observational study with a 3-year follow-up. All included patients with CKD stage 3 were evaluated using cROCK, Kidney Disease Improving Global Outcomes (KDIGO), and their combined criteria. The renal composite endpoints, major adverse cardiovascular events (MACEs), and all-cause mortality were recorded as clinical outcomes. RESULTS: A total of 812 patients was enrolled. The cROCK criteria detected more ACKD events than did the KDIGO (68.0% vs. 59.5%, p < 0.001). Compared to KDIGO (−) & cROCK (−) group, ACKD patients diagnosed by cROCK had significantly higher hazard ratio [HR] for renal composite endpoints (HR, 3.591; p < 0.001), MACEs (HR, 1.748; p < 0.001), and all-cause mortality (HR, 2.985; p < 0.001). The patients in KDIGO (+) & cROCK (+) group had the lowest survival probability when considering renal composite endpoints, MACEs, and all-cause mortality (all p < 0.001). Furthermore, cROCK resulted in the largest area under the receiver operating characteristic curve (AUC) for predicting renal composite endpoints, and the combined criteria led to the largest AUC for predicting MACEs and all-cause mortality. CONCLUSION: Compared to the KDIGO, the cROCK detected more ACKD events. Combining both cROCK and KDIGO criteria might improve the predictive ability for long-term outcomes in ACKD patients. The Korean Society of Nephrology 2023-09 2023-07-20 /pmc/articles/PMC10565458/ /pubmed/37559227 http://dx.doi.org/10.23876/j.krcp.22.161 Text en Copyright © 2023 The Korean Society of Nephrology https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial and No Derivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) which permits unrestricted non-commercial use, distribution of the material without any modifications, and reproduction in any medium, provided the original works properly cited.
spellingShingle Original Article
Sun, Ling
Hua, Rui-Xue
Wu, Yu
Zou, Lu-Xi
Acute kidney injury in hospitalized adults with chronic kidney disease: comparing cROCK, KDIGO, and combined criteria
title Acute kidney injury in hospitalized adults with chronic kidney disease: comparing cROCK, KDIGO, and combined criteria
title_full Acute kidney injury in hospitalized adults with chronic kidney disease: comparing cROCK, KDIGO, and combined criteria
title_fullStr Acute kidney injury in hospitalized adults with chronic kidney disease: comparing cROCK, KDIGO, and combined criteria
title_full_unstemmed Acute kidney injury in hospitalized adults with chronic kidney disease: comparing cROCK, KDIGO, and combined criteria
title_short Acute kidney injury in hospitalized adults with chronic kidney disease: comparing cROCK, KDIGO, and combined criteria
title_sort acute kidney injury in hospitalized adults with chronic kidney disease: comparing crock, kdigo, and combined criteria
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565458/
https://www.ncbi.nlm.nih.gov/pubmed/37559227
http://dx.doi.org/10.23876/j.krcp.22.161
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