Evidence map›Paper›PMID 31997077›Full record

ArticlePediatric nephrology (Berlin, Germany)2020

Racial and health insurance disparities in pediatric acute kidney injury in the USA.

Erica C Bjornstad, Stephen W Marshall, Amy K Mottl, Keisha Gibson, Yvonne M Golightly, Anthony Charles, Emily W Gower

Abstract read
In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Pediatric kidney transplant disparities.World journal of clinical pediatrics · 2026
    Article
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  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Review
  12. Article
  13. The Effects of Race on Acute Kidney Injury.Journal of clinical medicine · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
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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

7 authors.

Erica C BjornstadDepartment of Pediatrics, Division of Nephrology, University of Alabama Birmingham, Birmingham, Alabama, 35233, USA. ebjornstad@peds.uab.edu.ORCID http://orcid.org/0000-0002-4191-9510
Stephen W MarshallDepartment of Epidemiology, University of North Carolina Gillings School of Public Health, Chapel Hill, NC, USA.
Amy K MottlDepartment of Medicine, Division of Nephrology and Hypertension, University of North Carolina, Chapel Hill, NC, USA.
Keisha GibsonDepartment of Medicine, Division of Nephrology and Hypertension, University of North Carolina, Chapel Hill, NC, USA.
Yvonne M GolightlyDepartment of Epidemiology, University of North Carolina Gillings School of Public Health, Chapel Hill, NC, USA.
Anthony CharlesDepartment of Surgery, University of North Carolina, Chapel Hill, NC, USA.
Emily W GowerDepartment of Epidemiology, University of North Carolina Gillings School of Public Health, Chapel Hill, NC, USA.

Funding

RENAL EPIDEMIOLOGY TRAINING PROGRAMT32DK007750 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FALK, RONALD J · 1999 to 2022
$5.5M
NIDDK NIH HHS T32-DK00775NIDDK NIH HHS T32 DK007750
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) significantly increases morbidity and mortality for hospitalized children, yet sociodemographic risk factors for pediatric AKI are poorly described. We examined sociodemographic differences in pediatric AKI amongst a national cohort of hospitalized children.

methodsSecondary analysis of the most recent (2012) Kids' Inpatient Database (KID) from the Agency for Healthcare Research and Quality. Study sample weights were used to obtain national estimates of AKI (defined by administrative data). KID is a nationally representative sample of pediatric discharges throughout the USA. Linear risk regression models were used to assess the relationship between our primary exposures (race/ethnicity, health insurance, household urbanization, gender, and age) and the diagnosis of AKI, adjusting for comorbidities.

resultsA total of 1,699,841 hospitalizations met our study criteria. In 2012, AKI occurred in approximately 12.3/1000 pediatric hospitalizations, which translates to almost 30,000 children nationally. Asian/Pacific Islander, African-American, and Hispanic children were at slightly increased risk for AKI compared to Caucasian children (adjusted risk difference (RD) 4.5 per 1000 hospitalizations, 95% confidence interval (CI) 2.9-6.0; 2.5/1000 hospitalizations, 95% CI 1.7-3.3; and 1.7/1000 hospitalizations, 95% CI 0.9-2.5, respectively). Uninsured children were more likely to suffer AKI compared to children with any health insurance (e.g., no insurance versus Medicaid: adjusted RD 14.4/1000 hospitalizations, 95% CI 12.7-16.2). Based on these national estimates, one episode of AKI might be prevented if 70 (95% CI 62-79) hospitalized children without insurance were provided with Medicaid.

conclusionsPediatric AKI occurs more frequently in racial minority and uninsured children, factors linked to lower socioeconomic status.

Indexed as

Health Status DisparitiesAcute Kidney InjuryAdolescentChildChild, PreschoolDatabases, FactualFemaleHospitalizationHumansInsurance CoverageInsurance, HealthMaleMedicaidMedically UninsuredRegression AnalysisRisk FactorsAcute kidney injuryChildHealth services researchMedicaidRisk factors

Identifiers

PMID31997077
PMCPMC7188561

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Registered trials

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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.