Evidence map›Paper›PMID 22034509›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2011

Risk of poor outcomes with novel and traditional biomarkers at clinical AKI diagnosis.

Isaac E Hall, Steven G Coca, Mark A Perazella, Umo U Eko, Randy L Luciano, Patricia R Peter, Won K Han, Chirag R Parikh

Abstract read
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–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

58 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Observational
  5. Article
  6. An updated approach to the evaluation of the urinary sediment.Pediatric nephrology (Berlin, Germany) · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Observational
  18. Article
  19. Perspective on Clinical Application of Biomarkers in AKI.Journal of the American Society of Nephrology : JASN · 2017
    Review
  20. Article
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.

Isaac E HallDepartment of Medicine, Section of Nephrology, Yale University School of Medicine, New Haven, Connecticut, USA.
Steven G Coca
Mark A Perazella
Umo U Eko
Randy L Luciano
Patricia R Peter
Won K Han
Chirag R Parikh

Funding

Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
PATHOPHYSIOLOGY OF ACUTE AND CHRONIC RENAL DISEASET32DK007276 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S., CANTLEY, LLOYD G · 1986 to 2022
$9.3M
Long-term Prognosis of Acute Kidney Injury in Cardiac SurgeryK23DK080132 · NIDDK · YALE UNIVERSITY · PI COCA, STEVEN G · 2008 to 2012
$957k
Urinary Biomarkers for Recovery After Acute Kidney Injury and Prognosis in HospitF32DK088395 · NIDDK · YALE UNIVERSITY · PI HALL, ISAAC ELI · 2010 to 2010
$66k
NHLBI NIH HHS R01 HL085757NHLBI NIH HHS R01HL-085757NIDDK NIH HHS F32 DK088395NIDDK NIH HHS K23 DK080132NIDDK NIH HHS T32 DK007276
6 · The paper itself

Abstract

BACKGROUND AND

objectivesStudies have evaluated acute kidney injury (AKI) using biomarkers in various settings, but their prognostic utility within current practice is unclear. Thus, we sought to determine the prognostic utility of newer biomarkers or traditional markers (fractional excretion of sodium [FeNa] and urea [FeUrea] and microscopy) over clinical assessment alone. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This is a prospective cohort study of adults on the first day of meeting AKI criteria. We measured urine concentrations of neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), and IL-18 and determined FeNa, FeUrea, and microscopy score for casts and tubular cells. Primary outcome was worsened AKI stage from enrollment to peak serum creatinine or in-hospital death.

resultsIn 249 recipients, 57% were ≥65 years old, 48% were from intensive care, and mean baseline GFR was 69 ± 30 ml/min per 1.73 m(2). AKI was considered prerenal in 164 (66%), acute tubular necrosis (ATN) in 51 (20%), and "other" in 34 (14%). All mean protein biomarker concentrations, FeNa, FeUrea, and microscopy scores were statistically different between prerenal and ATN. Seventy-two patients (29%) developed the primary outcome. There was an approximate three-fold increase in adjusted risk for the outcome for upper versus lower values of NGAL, KIM-1, IL-18, and microscopy score (P values <0.05). Net reclassification improved after adding these to baseline clinical assessment. FeNa and FeUrea were not useful.

conclusionsOn the first day of AKI, urine protein biomarkers and microscopy significantly improve upon clinical determination of prognosis, indicating their potential utility in current practice.

Indexed as

Acute Kidney InjuryAcute-Phase ProteinsAgedBiomarkersCohort StudiesCreatinineFemaleHepatitis A Virus Cellular Receptor 1HumansInterleukin-18Lipocalin-2LipocalinsMaleMembrane GlycoproteinsPrognosisProspective StudiesAcute-Phase ProteinsBiomarkersCreatinineHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1Interleukin-18LCN2 protein, humanLipocalin-2LipocalinsMembrane GlycoproteinsProto-Oncogene ProteinsReceptors, VirusSodiumUrea

Identifiers

PMID22034509
PMCPMC3255362

What OpenQuestion holds

Textmetadata
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.