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Evaluating Nephrocheck(®) as a Predictive Tool for Acute Kidney Injury

Acute kidney injury (AKI) is a common complication in critically ill patients in the intensive settings with increased risks of short- and long-term complications and mortality. AKI is also associated with an increased length of stay in intensive care units (ICU) and worse kidney function recovery a...

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Autores principales: Nalesso, Federico, Cattarin, Leda, Gobbi, Laura, Fragasso, Antonio, Garzotto, Francesco, Calò, Lorenzo Arcangelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189184/
https://www.ncbi.nlm.nih.gov/pubmed/32425580
http://dx.doi.org/10.2147/IJNRD.S198222
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author Nalesso, Federico
Cattarin, Leda
Gobbi, Laura
Fragasso, Antonio
Garzotto, Francesco
Calò, Lorenzo Arcangelo
author_facet Nalesso, Federico
Cattarin, Leda
Gobbi, Laura
Fragasso, Antonio
Garzotto, Francesco
Calò, Lorenzo Arcangelo
author_sort Nalesso, Federico
collection PubMed
description Acute kidney injury (AKI) is a common complication in critically ill patients in the intensive settings with increased risks of short- and long-term complications and mortality. AKI is also associated with an increased length of stay in intensive care units (ICU) and worse kidney function recovery at hospital discharge. The management of AKI is one of the major challenges for nephrologists and intensivists overall for its early diagnosis. The current KDIGO criteria used to define AKI include the serum creatinine and urinary output that are neither sensitive nor specific markers of kidney function, since they can be altered only after hours from the kidney injury. In order to allow an early AKI detection, in the last years, several studies focused on the identification of new biomarkers. Among all these markers, urinary insulin-like growth factor-binding protein (IGFBP-7) and tissue inhibitor of metalloproteinase (TIMP-2) have been proven as the best-performing and have been proposed as a predictive tool for the AKI detection in the critical settings in order to perform an early diagnosis. Patients undergoing major surgery, cardiac surgery, those with hemodynamic instability or those with sepsis are believed to be the top priority patient populations for the biomarker test. In this view, the urinary [TIMP-2] x [IGFBP-7] becomes an important tool for the early detection of patients at high risk for AKI and its integration with the local ICU experience has to provide a multidisciplinary management of AKI with the institution of a rapid response team in order to assess patients and customize AKI management.
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spelling pubmed-71891842020-05-18 Evaluating Nephrocheck(®) as a Predictive Tool for Acute Kidney Injury Nalesso, Federico Cattarin, Leda Gobbi, Laura Fragasso, Antonio Garzotto, Francesco Calò, Lorenzo Arcangelo Int J Nephrol Renovasc Dis Review Acute kidney injury (AKI) is a common complication in critically ill patients in the intensive settings with increased risks of short- and long-term complications and mortality. AKI is also associated with an increased length of stay in intensive care units (ICU) and worse kidney function recovery at hospital discharge. The management of AKI is one of the major challenges for nephrologists and intensivists overall for its early diagnosis. The current KDIGO criteria used to define AKI include the serum creatinine and urinary output that are neither sensitive nor specific markers of kidney function, since they can be altered only after hours from the kidney injury. In order to allow an early AKI detection, in the last years, several studies focused on the identification of new biomarkers. Among all these markers, urinary insulin-like growth factor-binding protein (IGFBP-7) and tissue inhibitor of metalloproteinase (TIMP-2) have been proven as the best-performing and have been proposed as a predictive tool for the AKI detection in the critical settings in order to perform an early diagnosis. Patients undergoing major surgery, cardiac surgery, those with hemodynamic instability or those with sepsis are believed to be the top priority patient populations for the biomarker test. In this view, the urinary [TIMP-2] x [IGFBP-7] becomes an important tool for the early detection of patients at high risk for AKI and its integration with the local ICU experience has to provide a multidisciplinary management of AKI with the institution of a rapid response team in order to assess patients and customize AKI management. Dove 2020-04-24 /pmc/articles/PMC7189184/ /pubmed/32425580 http://dx.doi.org/10.2147/IJNRD.S198222 Text en © 2020 Nalesso et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Review
Nalesso, Federico
Cattarin, Leda
Gobbi, Laura
Fragasso, Antonio
Garzotto, Francesco
Calò, Lorenzo Arcangelo
Evaluating Nephrocheck(®) as a Predictive Tool for Acute Kidney Injury
title Evaluating Nephrocheck(®) as a Predictive Tool for Acute Kidney Injury
title_full Evaluating Nephrocheck(®) as a Predictive Tool for Acute Kidney Injury
title_fullStr Evaluating Nephrocheck(®) as a Predictive Tool for Acute Kidney Injury
title_full_unstemmed Evaluating Nephrocheck(®) as a Predictive Tool for Acute Kidney Injury
title_short Evaluating Nephrocheck(®) as a Predictive Tool for Acute Kidney Injury
title_sort evaluating nephrocheck(®) as a predictive tool for acute kidney injury
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189184/
https://www.ncbi.nlm.nih.gov/pubmed/32425580
http://dx.doi.org/10.2147/IJNRD.S198222
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