Evidence map›Paper›PMID 21663616›Full record

ArticleCritical care (London, England)2011

Acute kidney injury is an independent risk factor for pediatric intensive care unit mortality, longer length of stay and prolonged mechanical ventilation in critically ill children: a two-center retrospective cohort study.

Omar Alkandari, K Allen Eddington, Ayaz Hyder, France Gauvin, Thierry Ducruet, Ronald Gottesman, Véronique Phan, Michael Zappitelli

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2011. 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 172 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing 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.

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

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

  1. Pooled it
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  3. 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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112 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

8 authors.

Omar AlkandariDivision of Nephrology, Department of Pediatrics, McGill University Health Centre, Montreal Children's Hospital, 2300 Tupper, Room E-213, Montreal, QC, H3H 1P3, Canada.
K Allen Eddington
Ayaz Hyder
France Gauvin
Thierry Ducruet
Ronald Gottesman
Véronique Phan
Michael Zappitelli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn adults, small (< 50%) serum creatinine (SCr) increases predict mortality. It is unclear whether different baseline serum creatinine (bSCr) estimation methods affect findings of acute kidney injury (AKI)-outcome associations. We characterized pediatric AKI, evaluated the effect of bSCr estimation approaches on AKI-outcome associations and evaluated the use of small SCr increases to predict AKI development.

methodsWe conducted a retrospective cohort database study of children (excluding postoperative cardiac or renal transplant patients) admitted to two pediatric intensive care units (PICUs) for at least one night in Montreal, QC, Canada. The AKI definition was based on the Acute Kidney Injury Network staging system, excluding the requirement of SCr increase within 48 hours, which was impossible to evaluate on the basis of our data set. We estimated bSCr two ways: (1) the lowest SCr level in the three months before admission or the average age- and gender-based norms (the standard method) or (2) by using average norms in all patients. Outcomes were PICU mortality and length of stay as well as required mechanical ventilation. We used multiple logistic regression analysis to evaluate AKI risk factors and the association between AKI and mortality. We used multiple linear regression analysis to evaluate the effect of AKI on other outcomes. We calculated diagnostic characteristics for early SCr increase (< 50%) to predict AKI development.

resultsOf 2,106 admissions (mean age ± SD = 5.0 ± 5.5 years; 47% female), 377 patients (17.9%) developed AKI (using the standard bSCr method) during PICU admission. Higher Pediatric Risk of Mortality score, required mechanical ventilation, documented infection and having a bSCr measurement were independent predictors of AKI development. AKI was associated with increased mortality (adjusted odds ratio (OR) = 3.7, 95% confidence interval (95% CI) = 2.1 to 6.4, using the standard bSCr method; OR = 4.5, 95% CI = 2.6 to 7.9, using normative bSCr values in all patients). AKI was independently associated with longer PICU stay and required mechanical ventilation. In children with no admission AKI, the initial percentage SCr increase predicted AKI development (area under the curve = 0.67, 95% CI = 0.60 to 0.74).

conclusionsAKI is associated with increased mortality and morbidity in critically ill children, regardless of the bSCr used. Paying attention to small early SCr increases may contribute to early AKI diagnosis in conjunction with other new AKI biomarkers.

Indexed as

Hospital MortalityIntensive Care Units, PediatricLength of StayAcute Kidney InjuryChildChild, PreschoolCohort StudiesCritical IllnessFemaleHumansInfantMaleRespiration, ArtificialRetrospective StudiesRisk FactorsTime Factors

Identifiers

PMID21663616
PMCPMC3219018

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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.