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Cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study
BACKGROUND: Acute kidney injury (AKI) is a common disease in the intensive care unit (ICU). AKI patients with nonrecovery of renal function have a markedly increased risk of death compared with patients with recovery. The current study aimed to explore and validate the utility of urinary cell cycle...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840946/ https://www.ncbi.nlm.nih.gov/pubmed/35150348 http://dx.doi.org/10.1186/s13613-022-00989-8 |
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author | Jia, Hui-Miao Cheng, Li Weng, Yi-Bing Wang, Jing-Yi Zheng, Xi Jiang, Yi-Jia Xin, Xin Guo, Shu-Yan Chen, Chao-Dong Guo, Fang-Xing Han, Yu-Zhen Zhang, Tian-En Li, Wen-Xiong |
author_facet | Jia, Hui-Miao Cheng, Li Weng, Yi-Bing Wang, Jing-Yi Zheng, Xi Jiang, Yi-Jia Xin, Xin Guo, Shu-Yan Chen, Chao-Dong Guo, Fang-Xing Han, Yu-Zhen Zhang, Tian-En Li, Wen-Xiong |
author_sort | Jia, Hui-Miao |
collection | PubMed |
description | BACKGROUND: Acute kidney injury (AKI) is a common disease in the intensive care unit (ICU). AKI patients with nonrecovery of renal function have a markedly increased risk of death compared with patients with recovery. The current study aimed to explore and validate the utility of urinary cell cycle arrest biomarkers for predicting nonrecovery in patients who developed AKI after ICU admission. METHODS: We prospectively and consecutively enrolled 379 critically ill patients who developed AKI after admission to the ICU, which were divided into a derivation cohort (194 AKI patients) and a validation cohort (185 AKI patients). The biomarkers of urinary tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) were detected at inclusion immediately after AKI diagnosis (day 0) and 24 h later (day 1). The optimal cut-off values of these biomarkers for predicting nonrecovery were estimated in the derivation cohort, and their predictive accuracy was assessed in the validation cohort. The primary endpoint was nonrecovery from AKI (within 7 days). RESULTS: Of 379 patients, 159 (41.9%) patients failed to recover from AKI onset, with 79 in the derivation cohort and 80 in the validation cohort. Urinary [TIMP-2]*[IGFBP7] on day 0 showed a better prediction ability for nonrecovery than TIMP-2 and IGFBP7 alone, with an area under the reciever operating characteristic curve (AUC) of 0.751 [95% confidence interval (CI) 0.701–0.852, p < 0.001] and an optimal cut-off value of 1.05 ((ng/mL)(2)/1000). When [TIMP-2]*[IGFBP7] was combined with the clinical factors of AKI diagnosed by the urine output (UO) criteria, AKI stage 2–3 and nonrenal SOFA score for predicting nonrecovery, the AUC was significantly improved to 0.852 (95% CI 0.750–0.891, p < 0.001), which achieved a sensitivity and specificity of 88.8% (72.9, 98.7) and 92.6% (80.8, 100.0), respectively. However, urine [TIMP-2]*[IGFBP7], TIMP-2 alone, and IGFBP7 alone on day 1 performed poorly for predicting AKI recovery. CONCLUSION: Urinary [TIMP-2]*[IGFBP7] on day 0 showed a fair performance for predicting nonrecovery from AKI. The predictive accuracy can be improved when urinary [TIMP-2]*[IGFBP7] is combined with the clinical factors of AKI diagnosed by the UO criteria, AKI stage 2–3 and nonrenal SOFA score. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-022-00989-8. |
format | Online Article Text |
id | pubmed-8840946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-88409462022-02-23 Cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study Jia, Hui-Miao Cheng, Li Weng, Yi-Bing Wang, Jing-Yi Zheng, Xi Jiang, Yi-Jia Xin, Xin Guo, Shu-Yan Chen, Chao-Dong Guo, Fang-Xing Han, Yu-Zhen Zhang, Tian-En Li, Wen-Xiong Ann Intensive Care Research BACKGROUND: Acute kidney injury (AKI) is a common disease in the intensive care unit (ICU). AKI patients with nonrecovery of renal function have a markedly increased risk of death compared with patients with recovery. The current study aimed to explore and validate the utility of urinary cell cycle arrest biomarkers for predicting nonrecovery in patients who developed AKI after ICU admission. METHODS: We prospectively and consecutively enrolled 379 critically ill patients who developed AKI after admission to the ICU, which were divided into a derivation cohort (194 AKI patients) and a validation cohort (185 AKI patients). The biomarkers of urinary tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) were detected at inclusion immediately after AKI diagnosis (day 0) and 24 h later (day 1). The optimal cut-off values of these biomarkers for predicting nonrecovery were estimated in the derivation cohort, and their predictive accuracy was assessed in the validation cohort. The primary endpoint was nonrecovery from AKI (within 7 days). RESULTS: Of 379 patients, 159 (41.9%) patients failed to recover from AKI onset, with 79 in the derivation cohort and 80 in the validation cohort. Urinary [TIMP-2]*[IGFBP7] on day 0 showed a better prediction ability for nonrecovery than TIMP-2 and IGFBP7 alone, with an area under the reciever operating characteristic curve (AUC) of 0.751 [95% confidence interval (CI) 0.701–0.852, p < 0.001] and an optimal cut-off value of 1.05 ((ng/mL)(2)/1000). When [TIMP-2]*[IGFBP7] was combined with the clinical factors of AKI diagnosed by the urine output (UO) criteria, AKI stage 2–3 and nonrenal SOFA score for predicting nonrecovery, the AUC was significantly improved to 0.852 (95% CI 0.750–0.891, p < 0.001), which achieved a sensitivity and specificity of 88.8% (72.9, 98.7) and 92.6% (80.8, 100.0), respectively. However, urine [TIMP-2]*[IGFBP7], TIMP-2 alone, and IGFBP7 alone on day 1 performed poorly for predicting AKI recovery. CONCLUSION: Urinary [TIMP-2]*[IGFBP7] on day 0 showed a fair performance for predicting nonrecovery from AKI. The predictive accuracy can be improved when urinary [TIMP-2]*[IGFBP7] is combined with the clinical factors of AKI diagnosed by the UO criteria, AKI stage 2–3 and nonrenal SOFA score. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-022-00989-8. Springer International Publishing 2022-02-12 /pmc/articles/PMC8840946/ /pubmed/35150348 http://dx.doi.org/10.1186/s13613-022-00989-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Jia, Hui-Miao Cheng, Li Weng, Yi-Bing Wang, Jing-Yi Zheng, Xi Jiang, Yi-Jia Xin, Xin Guo, Shu-Yan Chen, Chao-Dong Guo, Fang-Xing Han, Yu-Zhen Zhang, Tian-En Li, Wen-Xiong Cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study |
title | Cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study |
title_full | Cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study |
title_fullStr | Cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study |
title_full_unstemmed | Cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study |
title_short | Cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study |
title_sort | cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840946/ https://www.ncbi.nlm.nih.gov/pubmed/35150348 http://dx.doi.org/10.1186/s13613-022-00989-8 |
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