Evidence map›Paper›PMID 24048379›Full record

ArticleKidney international2014

Derivation and validation of the renal angina index to improve the prediction of acute kidney injury in critically ill children.

Rajit K Basu, Michael Zappitelli, Lori Brunner, Yu Wang, Hector R Wong, Lakhmir S Chawla, Derek S Wheeler, Stuart L Goldstein

Registry-linked trialAbstract readValidation Study
In one paragraph

Article in Kidney international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02960867 (European Registry of Dialysis Treatment of Pediatric Acute Kidney Injury), which is not on this map. Cited by 146 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 6 pooled it
8.8field-weighted citation impact, top 1% of its field
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.

NCT02960867 completednot on this mapstarted 2016, after this paper: background citation

European Registry of Dialysis Treatment of Pediatric Acute Kidney Injury (AKI)

Typeobservational_patient_registrySponsorMariella EnocRan2016 to 2019Enrolled1,892ConditionsAcute Kidney Injury
3 · Its place in the literature

Who cites it

146 citing papers in PubMed, 6 syntheses or guidelines pooled it, 284 citations in OpenAlex.

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  16. Research progress on biomarkers for acute kidney injury in children.Pediatric nephrology (Berlin, Germany) · 2026
    Review
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86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Rajit K Basu1] Center for Acute Care Nephrology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA [2] Division of Critical Care, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Michael ZappitelliDivision of Pediatric Nephrology, Department of Pediatrics, Montreal Children's Hospital, McGill University, Montreal, Quebec, Canada.
Lori BrunnerCenter for Acute Care Nephrology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Yu WangDivision of Biostatistics and Epidemiology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Hector R WongDivision of Critical Care, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Lakhmir S ChawlaDivision of Anesthesiology and Critical Care Medicine, George Washington University, Washington, DC, USA.
Derek S Wheeler1] Center for Acute Care Nephrology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA [2] Division of Critical Care, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Stuart L Goldstein1] Center for Acute Care Nephrology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA [2] The Heart Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
University of Cincinnati · USCincinnati Children's Hospital Medical Center · USGeorge Washington University · USMcGill University · CA

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR026314 · NCRR · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2009 to 2011
$14.3M
Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., TSEVAT, JOEL · 2012 to 2014
$9.9M
Proteomics CoreP50DK096418 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI DEVARAJAN, PRASAD · 2012 to 2021
$8.4M
Genomic analysis of pediatric SIRS and septic shockR01GM064619 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI WONG, HECTOR R. · 2003 to 2009
$3.0M
Novel diagnostic and stratification tools for septic shockR01GM108025 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI WONG, HECTOR R. · 2014 to 2017
$2.3M
Stratification of pediatric septic shockR01GM099773 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI WONG, HECTOR R. · 2012 to 2015
$1.5M
THE PEDIATRIC SEPSIS BIOMARKER RISK MODELRC1HL100474 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI WONG, HECTOR R. · 2009 to 2010
$1000k
NCATS NIH HHS UL1 TR000077NCRR NIH HHS UL1 RR026314NCRR NIH HHS UL1-RR026314-01NHLBI NIH HHS RC1 HL100474NHLBI NIH HHS RC1HL100474NIDDK NIH HHS P50 DK096418NIGMS NIH HHS R01 GM064619NIGMS NIH HHS R01GM064619NIGMS NIH HHS R01 GM099773NIGMS NIH HHS R01GM099773NIGMS NIH HHS R01 GM108025
6 · The paper itself

Abstract

Reliable prediction of severe acute kidney injury (AKI) has the potential to optimize treatment. Here we operationalized the empiric concept of renal angina with a renal angina index (RAI) and determined the predictive performance of RAI. This was assessed on admission to the pediatric intensive care unit, for subsequent severe AKI (over 200% rise in serum creatinine) 72 h later (Day-3 AKI). In a multicenter four cohort appraisal (one derivation and three validation), incidence rates for a Day 0 RAI of 8 or more were 15-68% and Day-3 AKI was 13-21%. In all cohorts, Day-3 AKI rates were higher in patients with an RAI of 8 or more with the area under the curve of RAI for predicting Day-3 AKI of 0.74-0.81. An RAI under 8 had high negative predictive values (92-99%) for Day-3 AKI. RAI outperformed traditional markers of pediatric severity of illness (Pediatric Risk of Mortality-II) and AKI risk factors alone for prediction of Day-3 AKI. Additionally, the RAI outperformed all KDIGO stages for prediction of Day-3 AKI. Thus, we operationalized the renal angina concept by deriving and validating the RAI for prediction of subsequent severe AKI. The RAI provides a clinically feasible and applicable methodology to identify critically ill children at risk of severe AKI lasting beyond functional injury. The RAI may potentially reduce capricious AKI biomarker use by identifying patients in whom further testing would be most beneficial.

Indexed as

Critical IllnessAcute Kidney InjuryBiomarkersChildChild, PreschoolCreatinineFemaleHumansInfantMaleSeverity of Illness IndexBiomarkersCreatinine

Identifiers

PMID24048379
PMCPMC4659420
OpenAlexW2007813089

What OpenQuestion holds

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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.