Evidence map›Paper›PMID 20599305›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2010

Proteomic identification of early biomarkers of acute kidney injury after cardiac surgery in children.

Prasad Devarajan, Catherine D Krawczeski, Mai T Nguyen, Thelma Kathman, Zhu Wang, Chirag R Parikh

Open access · greenAbstract readComparative Study
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.7field-weighted citation impact, top 4% 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.

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

35 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Observational
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  8. Observational
  9. Article
  10. The nephrologist of tomorrow: towards a kidney-omic future.Pediatric nephrology (Berlin, Germany) · 2017
    Review
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  13. HIV Infection, Tenofovir, and Urine α1-Microglobulin: A Cross-sectional Analysis in the Multicenter AIDS Cohort Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2016
    Article
  14. Article
  15. Article
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  19. Association of urine α1-microglobulin with kidney function decline and mortality in HIV-infected women.Clinical journal of the American Society of Nephrology : CJASN · 2015
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Prasad DevarajanDivision of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, 45229-3039, USA. prasad.devarajan@cchmc.org
Catherine D Krawczeski
Mai T Nguyen
Thelma Kathman
Zhu Wang
Chirag R Parikh
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati · US

Funding

Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Implications of the ASK1/JNK pathway in ARFR01DK069749 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI DEVARAJAN, PRASAD · 2005 to 2009
$1.6M
NHLBI NIH HHS R01 HL085757NHLBI NIH HHS R01 HL08676NIDDK NIH HHS R01 DK069749
6 · The paper itself

Abstract

backgroundSerum creatinine is a delayed marker of acute kidney injury (AKI). Our purpose is to discover and validate novel early urinary biomarkers of AKI after cardiac surgery. STUDY

designDiagnostic test study. SETTING &

participantsChildren undergoing cardiopulmonary bypass surgery. The test set included 15 participants with AKI and 15 matched controls (median age, 1.5 year) of 45 participants without AKI. The validation set included 365 children (median age, 1.9 year). INDEX TESTS: Biomarkers identified using proteomic profiling: α(1)-microglobulin, α(1)-acid glycoprotein, and albumin. REFERENCE TEST: AKI, defined as ≥50% increase in serum creatinine level from baseline within 3 days of surgery.

resultsProteomic profiling using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) showed 3 protein peaks that appeared consistently within 2 hours in children who developed AKI after cardiopulmonary bypass surgery. The proteins were identified as α(1)-microglobulin, α(1)-acid glycoprotein, and albumin. Using clinical assays, results were confirmed in a test set and validated in an independent prospective cohort. In the validation set, 135 (37%) developed AKI, in whom there was a progressive increase in urinary biomarker concentrations with severity of AKI. Areas under the curve for urinary α(1)-microglobulin, α(1)-acid glycoprotein, and albumin at 6 hours after cardiac surgery were 0.84 (95% CI, 0.79-0.89), 0.87 (95% CI, 0.83-0.91), and 0.76 (95% CI, 0.71-0.81), respectively. Participants with increasing quartiles of biomarkers showed increasing lengths of hospital stays and durations of AKI (P < 0.001). LIMITATIONS: Single-center study of children with normal kidney function at recruitment. The SELDI-TOF MS technique has limited sensitivity for the detection of proteins greater than the 20-kDa range.

conclusionsUrinary α(1)-microglobulin, α(1)-acid glycoprotein, and albumin represent early, accurate, inexpensive, and widely available biomarkers of AKI after cardiac surgery. They also offer prognostic information about the duration of AKI and length of hospitalization after cardiac surgery.

Indexed as

Acute Kidney InjuryAcute-Phase ProteinsAlpha-GlobulinsAnalysis of VarianceBiomarkersCardiac Surgical ProceduresCardiopulmonary BypassCase-Control StudiesChildChild, PreschoolCreatinineEarly DiagnosisFemaleFollow-Up StudiesHeart Defects, CongenitalHumansAcute-Phase Proteinsalpha-1-microglobulinAlpha-GlobulinsBiomarkersCreatinine

Identifiers

PMID20599305
PMCPMC2943007
OpenAlexW1977021298

What OpenQuestion holds

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Registered trials

None linked

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.