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Prognostic value of dynamic plasma endostatin for the prediction of mortality in acute kidney injury: A prospective cohort study
OBJECTIVE: The aim of the current study was to evaluate the value of plasma endostatin for predicting 30-day mortality of patients with acute kidney injury (AKI). METHODS: Patients who underwent non-cardiac major surgery and developed AKI in the first 48 hours after admission to the intensive care u...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375733/ https://www.ncbi.nlm.nih.gov/pubmed/32691651 http://dx.doi.org/10.1177/0300060520940856 |
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author | Jia, Hui-Miao Zheng, Yue Han, Yue Ma, Wen-Liang Jiang, Yi-Jia Zheng, Xi Guo, Shu-Yan Zhang, Tian-En Li, Wen-Xiong |
author_facet | Jia, Hui-Miao Zheng, Yue Han, Yue Ma, Wen-Liang Jiang, Yi-Jia Zheng, Xi Guo, Shu-Yan Zhang, Tian-En Li, Wen-Xiong |
author_sort | Jia, Hui-Miao |
collection | PubMed |
description | OBJECTIVE: The aim of the current study was to evaluate the value of plasma endostatin for predicting 30-day mortality of patients with acute kidney injury (AKI). METHODS: Patients who underwent non-cardiac major surgery and developed AKI in the first 48 hours after admission to the intensive care unit were consecutively included. Concentrations of plasma neutrophil gelatinase-associated lipocalin (NGAL), cystatin C (Cys C), and endostatin were measured at three time points: 0, 24, and 48 hours after the AKI diagnosis. Clinical patient characteristics were recorded after AKI was diagnosed. RESULTS: A total of 256 new-onset AKI patients were enrolled. Of these, 48 (18.7%) patients died within 30 days. The difference in plasma endostatin values between 0 and 24 hours (ΔEndostatin-24h) yielded the best area under the curve (AUC) of 0.747 for predicting 30-day mortality in AKI patients; NGAL and Cys C achieved AUC of 0.672 and 0.647, respectively. The predictive AUC increased to 0.833 when ΔEndostatin-24h was combined with sequential organ failure assessment score and AKI classification. CONCLUSION: Dynamic plasma endostatin is useful for predicting 30-day mortality in AKI patients. The predictive power of dynamic plasma endostatin can be significantly improved when it is combined with clinical patient data. |
format | Online Article Text |
id | pubmed-7375733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73757332020-07-31 Prognostic value of dynamic plasma endostatin for the prediction of mortality in acute kidney injury: A prospective cohort study Jia, Hui-Miao Zheng, Yue Han, Yue Ma, Wen-Liang Jiang, Yi-Jia Zheng, Xi Guo, Shu-Yan Zhang, Tian-En Li, Wen-Xiong J Int Med Res Prospective Clinical Research Report OBJECTIVE: The aim of the current study was to evaluate the value of plasma endostatin for predicting 30-day mortality of patients with acute kidney injury (AKI). METHODS: Patients who underwent non-cardiac major surgery and developed AKI in the first 48 hours after admission to the intensive care unit were consecutively included. Concentrations of plasma neutrophil gelatinase-associated lipocalin (NGAL), cystatin C (Cys C), and endostatin were measured at three time points: 0, 24, and 48 hours after the AKI diagnosis. Clinical patient characteristics were recorded after AKI was diagnosed. RESULTS: A total of 256 new-onset AKI patients were enrolled. Of these, 48 (18.7%) patients died within 30 days. The difference in plasma endostatin values between 0 and 24 hours (ΔEndostatin-24h) yielded the best area under the curve (AUC) of 0.747 for predicting 30-day mortality in AKI patients; NGAL and Cys C achieved AUC of 0.672 and 0.647, respectively. The predictive AUC increased to 0.833 when ΔEndostatin-24h was combined with sequential organ failure assessment score and AKI classification. CONCLUSION: Dynamic plasma endostatin is useful for predicting 30-day mortality in AKI patients. The predictive power of dynamic plasma endostatin can be significantly improved when it is combined with clinical patient data. SAGE Publications 2020-07-21 /pmc/articles/PMC7375733/ /pubmed/32691651 http://dx.doi.org/10.1177/0300060520940856 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Prospective Clinical Research Report Jia, Hui-Miao Zheng, Yue Han, Yue Ma, Wen-Liang Jiang, Yi-Jia Zheng, Xi Guo, Shu-Yan Zhang, Tian-En Li, Wen-Xiong Prognostic value of dynamic plasma endostatin for the prediction of mortality in acute kidney injury: A prospective cohort study |
title | Prognostic value of dynamic plasma endostatin for the prediction of mortality in acute kidney injury: A prospective cohort study |
title_full | Prognostic value of dynamic plasma endostatin for the prediction of mortality in acute kidney injury: A prospective cohort study |
title_fullStr | Prognostic value of dynamic plasma endostatin for the prediction of mortality in acute kidney injury: A prospective cohort study |
title_full_unstemmed | Prognostic value of dynamic plasma endostatin for the prediction of mortality in acute kidney injury: A prospective cohort study |
title_short | Prognostic value of dynamic plasma endostatin for the prediction of mortality in acute kidney injury: A prospective cohort study |
title_sort | prognostic value of dynamic plasma endostatin for the prediction of mortality in acute kidney injury: a prospective cohort study |
topic | Prospective Clinical Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375733/ https://www.ncbi.nlm.nih.gov/pubmed/32691651 http://dx.doi.org/10.1177/0300060520940856 |
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