Evidence map›Paper›PMID 32025755›Full record

Observational studyIntensive care medicine2020

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

Eric Hoste, Azra Bihorac, Ali Al-Khafaji, Luis M Ortega, Marlies Ostermann, Michael Haase, Kai Zacharowski, Richard Wunderink, Michael Heung, Matthew Lissauer and 11 more

2 registry-linked trialsAbstract readObservational Study
In one paragraph

Observational study in Intensive care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 138 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
138citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01868724 completednot on this map

Identification and Validation of Biomarkers of Acute Kidney Injury Recovery

TypeobservationalSponsorAstute Medical, Inc.Ran2013 to 2014Enrolled362ConditionsAcute Kidney Injury
NCT07631221 recruitingnot on this mapstarted 2025, after this paper: background citation

Effect of Protein Dosage on Persistent Acute Renal Failure in Critically Ill Patients.

TypeobservationalSponsorHospital Italiano de Buenos AiresRan2025 to 2026Enrolled344ConditionsAcute Kidney Failure, Critical Illness, Protein Intake, Nutritional Support
3 · Its place in the literature

Who cites it

138 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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78 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Eric HosteGhent University Hospital, Ghent University, Ghent, Belgium.
Azra BihoracDepartment of Medicine, University of Florida, Gainesville, FL, USA.
Ali Al-KhafajiDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Luis M OrtegaAllegheny General Hospital, Pittsburgh, PA, USA.
Marlies OstermannKing's College London, Guy's & St Thomas' Hospital, London, UK.
Michael HaaseMVZ Diaverum Am Neuen Garten, Potsdam, Germany.
Kai ZacharowskiUniversity Hospital Frankfurt, Goethe University, Frankfurt, Germany.
Richard WunderinkDepartment of Medicine, Pulmonary and Critical Care Division, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Michael HeungDivision of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, MI, USA.
Matthew LissauerRutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, 08901, USA.
Wesley H SelfDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Jay L KoynerSection of Nephrology, Department of Medicine, University of Chicago, Chicago, IL, USA.
Patrick M HonoreUniversity Hospital Brussels, Brussels, Belgium.
John R ProwleRoyal London Hospital, Barts Health NHS Trust, London, UK.
Michael JoannidisDivision of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria.
Lui G ForniDepartment of Clinical & Experimental Medicine, Faculty of Health Sciences, University of Surrey, Guildford, UK.
J Patrick KampfAstute Medical, Inc, San Diego, CA, USA.
Paul McPhersonAstute Medical, Inc, San Diego, CA, USA.
John A KellumDepartment of Critical Care Medicine, Center for Critical Care Nephrology, University of Pittsburgh, Pittsburgh, PA, USA.
Lakhmir S ChawlaDepartment of Medicine, Veterans Affairs Medical Center, 3350 La Jolla Village Dr, San Diego, CA, 92161, USA. minkchawla@gmail.com.ORCID 0000-0001-5987-8318
RUBY Investigators

Funding

Technology CoreU19AI135964 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LUIS A. Nunes AMARAL · 2018 to 2026
$24.7M
Integrating data, algorithms and clinical reasoning for surgical risk assessmentR01GM110240 · NIGMS · UNIVERSITY OF FLORIDA · PI BIHORAC, AZRA, RASHIDI, PARISA · 2016 to 2025
$5.1M
NIAID NIH HHS U19 AI135964NIGMS NIH HHS R01 GM110240
6 · The paper itself

Abstract

purposeThe 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).

methodsThe 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).

results364 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.

conclusionElevated 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.

Indexed as

Acute Kidney InjuryBiomarkersHumansLipocalin-2Prospective StudiesROC CurveBiomarkersLipocalin-2BiomarkersC-C motif chemokine ligand 14 (CCL14)KIM-1 (kidney injury molecule-1)NGAL (Neutrophil gelatinase-associated lipocalin)Persistent acute kidney injuryPlasma cystatin C

Identifiers

PMID32025755
PMCPMC7210248

What OpenQuestion holds

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Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.