Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study.
Biomarkers
C-C motif chemokine ligand 14 (CCL14)
KIM-1 (kidney injury molecule-1)
NGAL (Neutrophil gelatinase-associated lipocalin)
Persistent acute kidney injury
Plasma cystatin C
Journal
Intensive care medicine
ISSN: 1432-1238
Titre abrégé: Intensive Care Med
Pays: United States
ID NLM: 7704851
Informations de publication
Date de publication:
05 2020
05 2020
Historique:
received:
29
08
2019
accepted:
26
12
2019
pubmed:
7
2
2020
medline:
28
4
2021
entrez:
7
2
2020
Statut:
ppublish
Résumé
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). 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). 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. 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.
Identifiants
pubmed: 32025755
doi: 10.1007/s00134-019-05919-0
pii: 10.1007/s00134-019-05919-0
pmc: PMC7210248
doi:
Substances chimiques
Biomarkers
0
Lipocalin-2
0
Banques de données
ClinicalTrials.gov
['NCT01868724']
Types de publication
Journal Article
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
943-953Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM110240
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI135964
Pays : United States
Investigateurs
Eric Hoste
(E)
Azra Bihorac
(A)
Ali Al-Khafaji
(A)
Luis M Ortega
(LM)
Marlies Ostermann
(M)
Michael Haase
(M)
Kai Zacharowski
(K)
Richard Wunderink
(R)
Michael Heung
(M)
Kyle Gunnerson
(K)
Matthew Lissauer
(M)
Daniel Herr
(D)
Wesley H Self
(WH)
Jay L Koyner
(JL)
Patrick M Honore
(PM)
John R Prowle
(JR)
Danielle Davison
(D)
Antonio Artigas
(A)
Michael Joannidis
(M)
Rebecca Schroeder
(R)
Sevag Demirjian
(S)
Lui G Forni
(LG)
Luke Hodgson
(L)
Scott Wilber
(S)
Jennifer A Frey
(JA)
Ian Reilly
(I)
Jing Shi
(J)
J Patrick Kampf
(JP)
Thomas Kwan
(T)
Paul McPherson
(P)
John A Kellum
(JA)
Lakhmir S Chawla
(LS)
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