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Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study

PURPOSE: The aim of the RUBY study was to evaluate novel candidate biomarkers to enable prediction of persistence of renal dysfunction as well as further understand potential mechanisms of kidney tissue damage and repair in acute kidney injury (AKI). METHODS: The RUBY study was a multi-center intern...

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Autores principales: Hoste, Eric, Bihorac, Azra, Al-Khafaji, Ali, Ortega, Luis M., Ostermann, Marlies, Haase, Michael, Zacharowski, Kai, Wunderink, Richard, Heung, Michael, Lissauer, Matthew, Self, Wesley H., Koyner, Jay L., Honore, Patrick M., Prowle, John R., Joannidis, Michael, Forni, Lui G., Kampf, J. Patrick, McPherson, Paul, Kellum, John A., Chawla, Lakhmir S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210248/
https://www.ncbi.nlm.nih.gov/pubmed/32025755
http://dx.doi.org/10.1007/s00134-019-05919-0
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author Hoste, Eric
Bihorac, Azra
Al-Khafaji, Ali
Ortega, Luis M.
Ostermann, Marlies
Haase, Michael
Zacharowski, Kai
Wunderink, Richard
Heung, Michael
Lissauer, Matthew
Self, Wesley H.
Koyner, Jay L.
Honore, Patrick M.
Prowle, John R.
Joannidis, Michael
Forni, Lui G.
Kampf, J. Patrick
McPherson, Paul
Kellum, John A.
Chawla, Lakhmir S.
author_facet Hoste, Eric
Bihorac, Azra
Al-Khafaji, Ali
Ortega, Luis M.
Ostermann, Marlies
Haase, Michael
Zacharowski, Kai
Wunderink, Richard
Heung, Michael
Lissauer, Matthew
Self, Wesley H.
Koyner, Jay L.
Honore, Patrick M.
Prowle, John R.
Joannidis, Michael
Forni, Lui G.
Kampf, J. Patrick
McPherson, Paul
Kellum, John A.
Chawla, Lakhmir S.
author_sort Hoste, Eric
collection PubMed
description PURPOSE: The aim of the RUBY study was to evaluate novel candidate biomarkers to enable prediction of persistence of renal dysfunction as well as further understand potential mechanisms of kidney tissue damage and repair in acute kidney injury (AKI). METHODS: The RUBY study was a multi-center international prospective observational study to identify biomarkers of the persistence of stage 3 AKI as defined by the KDIGO criteria. Patients in the intensive care unit (ICU) with moderate or severe AKI (KDIGO stage 2 or 3) were enrolled. Patients were to be enrolled within 36 h of meeting KDIGO stage 2 criteria. The primary study endpoint was the development of persistent severe AKI (KDIGO stage 3) lasting for 72 h or more (NCT01868724). RESULTS: 364 patients were enrolled of whom 331 (91%) were available for the primary analysis. One hundred ten (33%) of the analysis cohort met the primary endpoint of persistent stage 3 AKI. Of the biomarkers tested in this study, urinary C–C motif chemokine ligand 14 (CCL14) was the most predictive of persistent stage 3 AKI with an area under the receiver operating characteristic curve (AUC) (95% CI) of 0.83 (0.78–0.87). This AUC was significantly greater than values for other biomarkers associated with AKI including urinary KIM-1, plasma cystatin C, and urinary NGAL, none of which achieved an AUC > 0.75. CONCLUSION: Elevated urinary CCL14 predicts persistent AKI in a large heterogeneous cohort of critically ill patients with severe AKI. The discovery of CCL14 as a predictor of persistent AKI and thus, renal non-recovery, is novel and could help identify new therapeutic approaches to AKI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-019-05919-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-72102482020-05-13 Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study Hoste, Eric Bihorac, Azra Al-Khafaji, Ali Ortega, Luis M. Ostermann, Marlies Haase, Michael Zacharowski, Kai Wunderink, Richard Heung, Michael Lissauer, Matthew Self, Wesley H. Koyner, Jay L. Honore, Patrick M. Prowle, John R. Joannidis, Michael Forni, Lui G. Kampf, J. Patrick McPherson, Paul Kellum, John A. Chawla, Lakhmir S. Intensive Care Med Original PURPOSE: The aim of the RUBY study was to evaluate novel candidate biomarkers to enable prediction of persistence of renal dysfunction as well as further understand potential mechanisms of kidney tissue damage and repair in acute kidney injury (AKI). METHODS: The RUBY study was a multi-center international prospective observational study to identify biomarkers of the persistence of stage 3 AKI as defined by the KDIGO criteria. Patients in the intensive care unit (ICU) with moderate or severe AKI (KDIGO stage 2 or 3) were enrolled. Patients were to be enrolled within 36 h of meeting KDIGO stage 2 criteria. The primary study endpoint was the development of persistent severe AKI (KDIGO stage 3) lasting for 72 h or more (NCT01868724). RESULTS: 364 patients were enrolled of whom 331 (91%) were available for the primary analysis. One hundred ten (33%) of the analysis cohort met the primary endpoint of persistent stage 3 AKI. Of the biomarkers tested in this study, urinary C–C motif chemokine ligand 14 (CCL14) was the most predictive of persistent stage 3 AKI with an area under the receiver operating characteristic curve (AUC) (95% CI) of 0.83 (0.78–0.87). This AUC was significantly greater than values for other biomarkers associated with AKI including urinary KIM-1, plasma cystatin C, and urinary NGAL, none of which achieved an AUC > 0.75. CONCLUSION: Elevated urinary CCL14 predicts persistent AKI in a large heterogeneous cohort of critically ill patients with severe AKI. The discovery of CCL14 as a predictor of persistent AKI and thus, renal non-recovery, is novel and could help identify new therapeutic approaches to AKI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-019-05919-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-02-06 2020 /pmc/articles/PMC7210248/ /pubmed/32025755 http://dx.doi.org/10.1007/s00134-019-05919-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original
Hoste, Eric
Bihorac, Azra
Al-Khafaji, Ali
Ortega, Luis M.
Ostermann, Marlies
Haase, Michael
Zacharowski, Kai
Wunderink, Richard
Heung, Michael
Lissauer, Matthew
Self, Wesley H.
Koyner, Jay L.
Honore, Patrick M.
Prowle, John R.
Joannidis, Michael
Forni, Lui G.
Kampf, J. Patrick
McPherson, Paul
Kellum, John A.
Chawla, Lakhmir S.
Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study
title Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study
title_full Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study
title_fullStr Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study
title_full_unstemmed Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study
title_short Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study
title_sort identification and validation of biomarkers of persistent acute kidney injury: the ruby study
topic Original
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210248/
https://www.ncbi.nlm.nih.gov/pubmed/32025755
http://dx.doi.org/10.1007/s00134-019-05919-0
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