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Predictive value of urinary cell cycle arrest biomarkers for all cause-acute kidney injury: a meta-analysis

The cell cycle arrest markers tissue inhibitor metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) have been identified as potential biomarkers of acute kidney injury (AKI) in critically ill adults in intensive care units and cardiac surgery-associated AKI (CSA-AK...

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Autores principales: Huang, Feng, Zeng, Yan, Lv, Linghai, Chen, Yaoyao, Yan, Yan, Luo, Laimin, Pan, Rong, Jiang, Jiaming, Wei, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102152/
https://www.ncbi.nlm.nih.gov/pubmed/37055509
http://dx.doi.org/10.1038/s41598-023-33233-9
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author Huang, Feng
Zeng, Yan
Lv, Linghai
Chen, Yaoyao
Yan, Yan
Luo, Laimin
Pan, Rong
Jiang, Jiaming
Wei, Xin
author_facet Huang, Feng
Zeng, Yan
Lv, Linghai
Chen, Yaoyao
Yan, Yan
Luo, Laimin
Pan, Rong
Jiang, Jiaming
Wei, Xin
author_sort Huang, Feng
collection PubMed
description The cell cycle arrest markers tissue inhibitor metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) have been identified as potential biomarkers of acute kidney injury (AKI) in critically ill adults in intensive care units and cardiac surgery-associated AKI (CSA-AKI). However, the clinical impact on all-cause AKI remains unclear. Here, we report a meta-analysis performed to evaluate the predictive value of this biomarker for all-cause AKI. The PubMed, Cochrane, and EMBASE databases were systematically searched up to April 1, 2022. We used the Quality Assessment Tool for Diagnosis Accuracy Studies (QUADAS-2) to assess the quality. We extracted useful information from these studies and calculated the sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC). Twenty studies with 3625 patients were included in the meta-analysis. The estimated sensitivity of urinary [TIMP-2] × [IGFBP7] in the diagnosis of all-cause AKI was 0.79 (95% CI 0.72, 0.84), and the specificity was 0.70 (95% CI 0.62, 0.76). The value of urine [TIMP-2] × [IGFBP7] in the early diagnosis of AKI was assessed using a random effects model. The pooled positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were 2.6 (95% CI 2.1, 3.3), 0.31 (95% CI 0.23, 0.40), and 8 (95% CI 6, 13), respectively. The AUROC was 0.81 (95% CI 0.78–0.84). No significant publication bias was observed in eligible studies. Subgroup analysis indicated that the diagnostic value was related to the severity of AKI, time measurement, and clinical setting. This study shows that urinary [TIMP-2] × [IGFBP7] is a reliable effective predictive test for all cause-AKI. However, whether and how urinary [TIMP-2] × [IGFBP7] can be used in clinical diagnosis still requires further research and clinical trials.
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spelling pubmed-101021522023-04-15 Predictive value of urinary cell cycle arrest biomarkers for all cause-acute kidney injury: a meta-analysis Huang, Feng Zeng, Yan Lv, Linghai Chen, Yaoyao Yan, Yan Luo, Laimin Pan, Rong Jiang, Jiaming Wei, Xin Sci Rep Article The cell cycle arrest markers tissue inhibitor metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) have been identified as potential biomarkers of acute kidney injury (AKI) in critically ill adults in intensive care units and cardiac surgery-associated AKI (CSA-AKI). However, the clinical impact on all-cause AKI remains unclear. Here, we report a meta-analysis performed to evaluate the predictive value of this biomarker for all-cause AKI. The PubMed, Cochrane, and EMBASE databases were systematically searched up to April 1, 2022. We used the Quality Assessment Tool for Diagnosis Accuracy Studies (QUADAS-2) to assess the quality. We extracted useful information from these studies and calculated the sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC). Twenty studies with 3625 patients were included in the meta-analysis. The estimated sensitivity of urinary [TIMP-2] × [IGFBP7] in the diagnosis of all-cause AKI was 0.79 (95% CI 0.72, 0.84), and the specificity was 0.70 (95% CI 0.62, 0.76). The value of urine [TIMP-2] × [IGFBP7] in the early diagnosis of AKI was assessed using a random effects model. The pooled positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were 2.6 (95% CI 2.1, 3.3), 0.31 (95% CI 0.23, 0.40), and 8 (95% CI 6, 13), respectively. The AUROC was 0.81 (95% CI 0.78–0.84). No significant publication bias was observed in eligible studies. Subgroup analysis indicated that the diagnostic value was related to the severity of AKI, time measurement, and clinical setting. This study shows that urinary [TIMP-2] × [IGFBP7] is a reliable effective predictive test for all cause-AKI. However, whether and how urinary [TIMP-2] × [IGFBP7] can be used in clinical diagnosis still requires further research and clinical trials. Nature Publishing Group UK 2023-04-13 /pmc/articles/PMC10102152/ /pubmed/37055509 http://dx.doi.org/10.1038/s41598-023-33233-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 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 Article
Huang, Feng
Zeng, Yan
Lv, Linghai
Chen, Yaoyao
Yan, Yan
Luo, Laimin
Pan, Rong
Jiang, Jiaming
Wei, Xin
Predictive value of urinary cell cycle arrest biomarkers for all cause-acute kidney injury: a meta-analysis
title Predictive value of urinary cell cycle arrest biomarkers for all cause-acute kidney injury: a meta-analysis
title_full Predictive value of urinary cell cycle arrest biomarkers for all cause-acute kidney injury: a meta-analysis
title_fullStr Predictive value of urinary cell cycle arrest biomarkers for all cause-acute kidney injury: a meta-analysis
title_full_unstemmed Predictive value of urinary cell cycle arrest biomarkers for all cause-acute kidney injury: a meta-analysis
title_short Predictive value of urinary cell cycle arrest biomarkers for all cause-acute kidney injury: a meta-analysis
title_sort predictive value of urinary cell cycle arrest biomarkers for all cause-acute kidney injury: a meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102152/
https://www.ncbi.nlm.nih.gov/pubmed/37055509
http://dx.doi.org/10.1038/s41598-023-33233-9
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