Evidence map›Paper›PMID 25079008›Full record

ArticleIntensive care medicine2014

Validation of the KDIGO acute kidney injury criteria in a pediatric critical care population.

David T Selewski, Timothy T Cornell, Michael Heung, Jonathan P Troost, Brett J Ehrmann, Rebecca M Lombel, Neal B Blatt, Kera Luckritz, Sue Hieber, Robert Gajarski and 3 more

Registry-linked trialAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in Intensive care medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07184476 (Assessment of Microvascular Circulation in the Pediatric Cardiac Surgery Patient), which is not on this map. Cited by 125 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 7 pooled it
9.0field-weighted citation impact, top 2% 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.

NCT07184476 recruitingnot on this mapstarted 2026, after this paper: background citation

Assessment of Microvascular Circulation in the Pediatric Cardiac Surgery Patient

TypeobservationalSponsorBoston Children's HospitalRan2026 to 2027Enrolled40ConditionsTetrology of Fallot
3 · Its place in the literature

Who cites it

125 citing papers in PubMed, 7 syntheses or guidelines pooled it, 253 citations in OpenAlex.

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  8. Plasma Neutrophil Gelatinase-Associated Lipocalin Is Associated With Acute Kidney Injury and Clinical Outcomes in Neonates Undergoing Cardiopulmonary Bypass.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2019
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65 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

13 authors at 2 institutions in 1 country.

David T SelewskiDivision of Nephrology, Department of Pediatrics and Communicable Diseases, C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI, USA, dselewsk@med.umich.edu.
Timothy T Cornell
Michael Heung
Jonathan P Troost
Brett J Ehrmann
Rebecca M Lombel
Neal B Blatt
Kera Luckritz
Sue Hieber
Robert Gajarski
David B Kershaw
Thomas P Shanley
Debbie S Gipson
University of Michigan–Ann Arbor · USC. S. Mott Children's Hospital · US

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
MKP-2 as an Endogenous Regulator of the Pro-Inflammatory Response in SepsisK08HD062142 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CORNELL, TIMOTHY T · 2010 to 2013
$505k
NCATS NIH HHS 2UL1TR000433NICHD NIH HHS K08 HD062142
6 · The paper itself

Abstract

purposeAcute kidney injury (AKI) occurs commonly in critically ill children and has been associated with increased mortality of up to 50 %. The Kidney Disease: Improving Global Outcomes (KDIGO) AKI working group has proposed a standardized definition of AKI. Utilizing routinely available clinical data, we evaluated the KDIGO AKI criteria and the relationship of AKI with relevant outcomes in a single center tertiary pediatric intensive care (PICU) and cardiac intensive care unit (CICU) population.

methodsThe University of Michigan Pediatric Critical Care Database was probed for all discharges from the pediatric intensive care and cardiac intensive care units between July 2011 and October 2013 (N = 4,645). The KDIGO serum creatinine (SCr)-based criteria staged AKI with the modification that a minimum SCr of greater than 0.5 mg/dL was required to be classified as AKI. Exclusion: end-stage renal disease, new renal transplant, missing PRISM III data, or no measured Cr during intensive care unit (ICU) admission (N = 1,636).

resultsAKI occurred in 737 (24.5 %, stage 1 = 193, stage 2 = 189, and stage 3 = 355) of 3,009 discharges (PICU N = 1,870, CICU N = 1,139) that included 2,415 patients. In multivariate analysis AKI was associated with increased ICU length of stay (LOS) in hours (stage I β = 42.2, p = 0.024, II β = 74.1, p = 0.003, III β = 215.8, p < 0.001). Multivariate analysis showed that AKI was associated with increased odds of ICU mortality (OR 3.4, 95 % CI 2.0-6.0) and increased length of mechanical ventilation among those requiring mechanical ventilation (β = 2.3 days, p < 0.001).

conclusionsUsing the KDIGO criteria to define AKI, we observed a high prevalence of AKI among critically ill children. Worsening stages of AKI were associated with increased ICU LOS, and AKI was independently associated with prolonged mechanical ventilation and increased mortality. The KDIGO criteria describe clinically relevant AKI in a broad pediatric critical care population.

Indexed as

Critical IllnessHospital MortalityIntensive Care Units, PediatricAcute Kidney InjuryAdolescentChildChild, PreschoolCreatinineFemaleHumansIncidenceInfantInfant, NewbornLength of StayLinear ModelsMaleCreatinine

Identifiers

PMID25079008
OpenAlexW2153844295

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.