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 ACKD...

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Main Authors: Ling Sun, Rui-Xue Hua, Yu Wu, Lu-Xi Zou
Format: Article
Language:English
Published: The Korean Society of Nephrology 2023-09-01
Series:Kidney Research and Clinical Practice
Subjects:
Online Access:http://krcp-ksn.org/upload/pdf/j-krcp-22-161.pdf
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author Ling Sun
Rui-Xue Hua
Yu Wu
Lu-Xi Zou
author_facet Ling Sun
Rui-Xue Hua
Yu Wu
Lu-Xi Zou
author_sort Ling Sun
collection DOAJ
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 doaj.art-86f11ba6385649e6b6eadddb67d04dd72023-11-14T07:03:34ZengThe Korean Society of NephrologyKidney Research and Clinical Practice2211-91322211-91402023-09-0142563964810.23876/j.krcp.22.1616242Acute kidney injury in hospitalized adults with chronic kidney disease: comparing cROCK, KDIGO, and combined criteriaLing Sun0Rui-Xue Hua1Yu Wu2Lu-Xi Zou3 Department of Nephrology, Xuzhou Central Hospital, Xuzhou, China Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China School of Management, Xuzhou Medical University, Xuzhou, ChinaBackground 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.http://krcp-ksn.org/upload/pdf/j-krcp-22-161.pdfacute kidney injurycardiovascularchronic kidney diseasemortality
spellingShingle Ling Sun
Rui-Xue Hua
Yu Wu
Lu-Xi Zou
Acute kidney injury in hospitalized adults with chronic kidney disease: comparing cROCK, KDIGO, and combined criteria
Kidney Research and Clinical Practice
acute kidney injury
cardiovascular
chronic kidney disease
mortality
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 acute kidney injury
cardiovascular
chronic kidney disease
mortality
url http://krcp-ksn.org/upload/pdf/j-krcp-22-161.pdf
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