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Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury

Purpose. To assess urinary tissue inhibitor of metalloproteinases-2 and insulin-like growth factor binding protein 7 ([TIMP-2]·[IGFBP7]), urinary neutrophil gelatinase-associated lipocalin (NGAL), and urinary cystatin-C as acute kidney injury predictors (AKI) exploring the association of nonrenal fa...

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Autores principales: Bell, Max, Larsson, Anders, Venge, Per, Bellomo, Rinaldo, Mårtensson, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381987/
https://www.ncbi.nlm.nih.gov/pubmed/25866432
http://dx.doi.org/10.1155/2015/158658
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author Bell, Max
Larsson, Anders
Venge, Per
Bellomo, Rinaldo
Mårtensson, Johan
author_facet Bell, Max
Larsson, Anders
Venge, Per
Bellomo, Rinaldo
Mårtensson, Johan
author_sort Bell, Max
collection PubMed
description Purpose. To assess urinary tissue inhibitor of metalloproteinases-2 and insulin-like growth factor binding protein 7 ([TIMP-2]·[IGFBP7]), urinary neutrophil gelatinase-associated lipocalin (NGAL), and urinary cystatin-C as acute kidney injury predictors (AKI) exploring the association of nonrenal factors with elevated biomarker levels. Methods. We studied 94 patients with urine collected within 48 hours of ICU admission and no AKI at sampling. AKI was defined by the Kidney Disease: Improving Global Outcomes criteria. Predictive performance was assessed by the area under the receiver operating characteristics (ROC) curve. Associations between biomarkers and clinical factors were assessed by multivariate linear regression. Results. Overall, 19 patients (20%) developed AKI within 48 hours. [TIMP-2]·[IGFBP7], NGAL, or cystatin-C admission levels did not differ between patients without AKI and patients developing AKI. [TIMP-2]·[IGFBP7], NGAL, and cystatin-C were poor AKI predictors (ROC areas 0.34–0.51). Diabetes was independently associated with higher [TIMP-2]·[IGFBP7] levels (P = 0.02) but AKI was not (P = 0.24). Sepsis was independently associated with higher NGAL (P < 0.001) and cystatin-C (P = 0.003) levels. Conclusions. Urinary [TIMP-2]·[IGFBP7], NGAL, and cystatin-C should be used cautiously as AKI predictors in general ICU patients since urine levels of these biomarkers are affected by factors other than AKI and their performance can be poor.
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spelling pubmed-43819872015-04-12 Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury Bell, Max Larsson, Anders Venge, Per Bellomo, Rinaldo Mårtensson, Johan Dis Markers Research Article Purpose. To assess urinary tissue inhibitor of metalloproteinases-2 and insulin-like growth factor binding protein 7 ([TIMP-2]·[IGFBP7]), urinary neutrophil gelatinase-associated lipocalin (NGAL), and urinary cystatin-C as acute kidney injury predictors (AKI) exploring the association of nonrenal factors with elevated biomarker levels. Methods. We studied 94 patients with urine collected within 48 hours of ICU admission and no AKI at sampling. AKI was defined by the Kidney Disease: Improving Global Outcomes criteria. Predictive performance was assessed by the area under the receiver operating characteristics (ROC) curve. Associations between biomarkers and clinical factors were assessed by multivariate linear regression. Results. Overall, 19 patients (20%) developed AKI within 48 hours. [TIMP-2]·[IGFBP7], NGAL, or cystatin-C admission levels did not differ between patients without AKI and patients developing AKI. [TIMP-2]·[IGFBP7], NGAL, and cystatin-C were poor AKI predictors (ROC areas 0.34–0.51). Diabetes was independently associated with higher [TIMP-2]·[IGFBP7] levels (P = 0.02) but AKI was not (P = 0.24). Sepsis was independently associated with higher NGAL (P < 0.001) and cystatin-C (P = 0.003) levels. Conclusions. Urinary [TIMP-2]·[IGFBP7], NGAL, and cystatin-C should be used cautiously as AKI predictors in general ICU patients since urine levels of these biomarkers are affected by factors other than AKI and their performance can be poor. Hindawi Publishing Corporation 2015 2015-03-18 /pmc/articles/PMC4381987/ /pubmed/25866432 http://dx.doi.org/10.1155/2015/158658 Text en Copyright © 2015 Max Bell et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bell, Max
Larsson, Anders
Venge, Per
Bellomo, Rinaldo
Mårtensson, Johan
Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury
title Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury
title_full Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury
title_fullStr Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury
title_full_unstemmed Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury
title_short Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury
title_sort assessment of cell-cycle arrest biomarkers to predict early and delayed acute kidney injury
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381987/
https://www.ncbi.nlm.nih.gov/pubmed/25866432
http://dx.doi.org/10.1155/2015/158658
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