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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...

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Autores principales: Cuartero, M., Ballús, J., Sabater, J., Pérez, X., Nin, N., Ordonez-Llanos, J., Betbesé, A. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
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.
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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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