Evidence map›Paper›PMID 22098946›Full record

ArticleCritical care (London, England)2011

Identification of candidate serum biomarkers for severe septic shock-associated kidney injury via microarray.

Rajit K Basu, Stephen W Standage, Natalie Z Cvijanovich, Geoffrey L Allen, Neal J Thomas, Robert J Freishtat, Nick Anas, Keith Meyer, Paul A Checchia, Richard Lin and 6 more

Open access · goldAbstract read
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. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 57 citations in OpenAlex.

  1. Observational
  2. Review
  3. Observational
  4. The complement system in pediatric acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2023
    Review
  5. Multimerin-1 and cancer: a review.Bioscience reports · 2022
    Review
  6. Review
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Juvenile OLFM4-null mice are protected from sepsis.American journal of physiology. Renal physiology · 2020
    Article
  18. Prognostic and predictive enrichment in sepsis.Nature reviews. Nephrology · 2020
    Review
  19. Article
  20. Sepsis Biomarkers.Journal of pediatric intensive care · 2019
    Review
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

16 authors at 13 institutions in 2 countries.

Rajit K BasuCincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Department of Pediatrics, University of Cincinnati College of Medicine, 3333 Burnet Avenue, Cincinnati, OH 45223, USA.
Stephen W Standage
Natalie Z Cvijanovich
Geoffrey L Allen
Neal J Thomas
Robert J Freishtat
Nick Anas
Keith Meyer
Paul A Checchia
Richard Lin
Thomas P Shanley
Michael T Bigham
Derek S Wheeler
Prasad Devarajan
Stuart L Goldstein
Hector R Wong
University of Cincinnati · USAkron Children's Hospital · USChildren's Hospital of Philadelphia · USChildren's Mercy Hospital · USChildren's National · USCincinnati Children's Hospital Medical Center · USC. S. Mott Children's Hospital · USHospital Research Foundation · AUMiami Children's Hospital · USOakland University · USPenn State Milton S. Hershey Medical Center · USTexas Children's Hospital · USUniversity of California, Irvine · US

Funding

Genomic analysis of pediatric SIRS and septic shockR01GM064619 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI WONG, HECTOR R. · 2003 to 2009
$3.0M
THE PEDIATRIC SEPSIS BIOMARKER RISK MODELRC1HL100474 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI WONG, HECTOR R. · 2009 to 2010
$1000k
NHLBI NIH HHS RC1HL100474NIGMS NIH HHS R01GM064619
6 · The paper itself

Abstract

introductionSeptic-shock-associated acute kidney injury (SSAKI) carries high morbidity in the pediatric population. Effective treatment strategies are lacking, in part due to poor detection and prediction. There is a need to identify novel candidate biomarkers of SSAKI. The objective of our study was to determine whether microarray data from children with septic shock could be used to derive a panel of candidate biomarkers for predicting SSAKI.

methodsA retrospective cohort study compared microarray data representing the first 24 hours of admission for 179 children with septic shock with those of 53 age-matched normal controls. SSAKI was defined as a >200% increase of baseline serum creatinine, persistent to 7 days after admission.

resultsPatients with SSAKI (n = 31) and patients without SSAKI (n = 148) were clinically similar, but SSAKI carried a higher mortality (45% vs. 10%). Twenty-one unique gene probes were upregulated in SSAKI patients versus patients without SSAKI. Using leave-one-out cross-validation and class prediction modeling, these probes predicted SSAKI with a sensitivity of 98% (95% confidence interval (CI) = 81 to 100) and a specificity of 80% (95% CI = 72 to 86). Serum protein levels of two specific genes showed high sensitivity for predicting SSAKI: matrix metalloproteinase-8 (89%, 95% CI = 64 to 98) and elastase-2 (83%, 95% CI = 58 to 96). Both biomarkers carried a negative predictive value of 95%. When applied to a validation cohort, although both biomarkers carried low specificity (matrix metalloproteinase-8: 41%, 95% CI = 28 to 50; and elastase-2: 49%, 95% CI = 36 to 62), they carried high sensitivity (100%, 95% CI = 68 to 100 for both).

conclusionsGene probes upregulated in critically ill pediatric patients with septic shock may allow for the identification of novel candidate serum biomarkers for SSAKI prediction.

Indexed as

Acute Kidney InjuryBiomarkersCase-Control StudiesChildChild, PreschoolFemaleHumansInfantLeukocyte ElastaseMaleMatrix Metalloproteinase 8Oligonucleotide Array Sequence AnalysisReproducibility of ResultsRetrospective StudiesShock, SepticBiomarkersLeukocyte ElastaseMatrix Metalloproteinase 8

Identifiers

PMID22098946
PMCPMC3388679
OpenAlexW2043574891

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.