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Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients
PURPOSE: To analyse the usefulness of the composite index of the tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) as urinary biomarkers for the early prediction of AKI in septic and non-septic patients. METHODS: This is a prospective, observ...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589717/ https://www.ncbi.nlm.nih.gov/pubmed/28884304 http://dx.doi.org/10.1186/s13613-017-0317-y |
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author | Cuartero, M. Ballús, J. Sabater, J. Pérez, X. Nin, N. Ordonez-Llanos, J. Betbesé, A. J. |
author_facet | Cuartero, M. Ballús, J. Sabater, J. Pérez, X. Nin, N. Ordonez-Llanos, J. Betbesé, A. J. |
author_sort | Cuartero, M. |
collection | PubMed |
description | PURPOSE: To analyse the usefulness of the composite index of the tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) as urinary biomarkers for the early prediction of AKI in septic and non-septic patients. METHODS: This is a prospective, observational study including patients admitted to ICU from acute care departments and hospital length of stay <48 h. The main exclusion criteria were pre-existing eGFR <30 mL/min/1.73 m(2) and hospitalisation 2 months prior to current admission. The [TIMP-2]·[IGFBP7] index was analysed twice, within the first 12 h of ICU admission. RESULTS: The sample included 98 patients. AKI incidence during ICU stay was 50%. Sepsis was diagnosed in 40.8%. Baseline renal variables were comparable between subgroups except for a higher baseline eGFR in non-septic patients. Patients were stratified based on the presence of AKI and their highest level of [TIMP-2]·[IGFBP7] within the first 12 h of stay. [TIMP-2]·[IGFBP7] index values were dependent on the incidence of AKI but not of sepsis. [TIMP-2]·[IGFBP7] values were significantly related to AKI severity according to AKIN criteria (p < 0.0001). The AUROC curve to predict AKI of the worst [TIMP-2]·[IGFBP7] index value was 0.798 (sensitivity 73.5%, specificity 71.4%, p < 0.0001). Index values below 0.8 ruled out any need for renal replacement (NPV 100%), whereas an index >0.8 predicted a rate of AKI of 71% and AKIN ≥ 2 of 62.9%. CONCLUSIONS: In our study, urinary [TIMP-2]·[IGFBP7] was an early predictor of AKI in ICU patients regardless of sepsis. Besides, index values <0.8(ng/mL)(2)/1000 ruled out the need for renal replacement. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13613-017-0317-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5589717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-55897172017-09-27 Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients Cuartero, M. Ballús, J. Sabater, J. Pérez, X. Nin, N. Ordonez-Llanos, J. Betbesé, A. J. Ann Intensive Care Research PURPOSE: To analyse the usefulness of the composite index of the tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) as urinary biomarkers for the early prediction of AKI in septic and non-septic patients. METHODS: This is a prospective, observational study including patients admitted to ICU from acute care departments and hospital length of stay <48 h. The main exclusion criteria were pre-existing eGFR <30 mL/min/1.73 m(2) and hospitalisation 2 months prior to current admission. The [TIMP-2]·[IGFBP7] index was analysed twice, within the first 12 h of ICU admission. RESULTS: The sample included 98 patients. AKI incidence during ICU stay was 50%. Sepsis was diagnosed in 40.8%. Baseline renal variables were comparable between subgroups except for a higher baseline eGFR in non-septic patients. Patients were stratified based on the presence of AKI and their highest level of [TIMP-2]·[IGFBP7] within the first 12 h of stay. [TIMP-2]·[IGFBP7] index values were dependent on the incidence of AKI but not of sepsis. [TIMP-2]·[IGFBP7] values were significantly related to AKI severity according to AKIN criteria (p < 0.0001). The AUROC curve to predict AKI of the worst [TIMP-2]·[IGFBP7] index value was 0.798 (sensitivity 73.5%, specificity 71.4%, p < 0.0001). Index values below 0.8 ruled out any need for renal replacement (NPV 100%), whereas an index >0.8 predicted a rate of AKI of 71% and AKIN ≥ 2 of 62.9%. CONCLUSIONS: In our study, urinary [TIMP-2]·[IGFBP7] was an early predictor of AKI in ICU patients regardless of sepsis. Besides, index values <0.8(ng/mL)(2)/1000 ruled out the need for renal replacement. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13613-017-0317-y) contains supplementary material, which is available to authorized users. Springer International Publishing 2017-09-07 /pmc/articles/PMC5589717/ /pubmed/28884304 http://dx.doi.org/10.1186/s13613-017-0317-y Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Cuartero, M. Ballús, J. Sabater, J. Pérez, X. Nin, N. Ordonez-Llanos, J. Betbesé, A. J. Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients |
title | Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients |
title_full | Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients |
title_fullStr | Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients |
title_full_unstemmed | Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients |
title_short | Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients |
title_sort | cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589717/ https://www.ncbi.nlm.nih.gov/pubmed/28884304 http://dx.doi.org/10.1186/s13613-017-0317-y |
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