Evidence map›Paper›PMID 26386737›Full record

Trial reportAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2015

Urine Biomarkers and Perioperative Acute Kidney Injury: The Impact of Preoperative Estimated GFR.

Jay L Koyner, Steven G Coca, Heather Thiessen-Philbrook, Uptal D Patel, Michael G Shlipak, Amit X Garg, Chirag R Parikh, Translational Research Investigating Biomarker Endpoints for Acute Kidney Injury (TRIBE-AKI) Consortium, Translational Research Investigating Biomarker Endpoints for Acute Kidney Injury TRIBE-AKI Consortium

Open access · greenAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Observational
  6. The Association of Angiogenesis Markers With Acute Kidney Injury and Mortality After Cardiac Surgery.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2019
    Article
  7. 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

9 authors at 5 institutions in 2 countries.

Jay L KoynerSection of Nephrology, Department of Medicine, University of Chicago, Pritzker School of Medicine, Chicago, IL.
Steven G CocaDepartment of Internal Medicine, Clinical Epidemiology Research Center, Yale University School of Medicine, New Haven, CT.
Heather Thiessen-PhilbrookDivision of Nephrology, Department of Medicine, University of Western Ontario, London, Ontario, Canada.
Uptal D PatelDuke University, School of Medicine, Durham, NC.
Michael G ShlipakDivision of General Internal Medicine, San Francisco VA Medical Center, University of California, San Francisco, CA.
Amit X GargDivision of Nephrology, Department of Medicine, University of Western Ontario, London, Ontario, Canada.
Chirag R ParikhDepartment of Internal Medicine, Clinical Epidemiology Research Center, Yale University School of Medicine, New Haven, CT. Electronic address: chirag.parikh@yale.edu.
Translational Research Investigating Biomarker Endpoints for Acute Kidney Injury (TRIBE-AKI) Consortium
Translational Research Investigating Biomarker Endpoints for Acute Kidney Injury TRIBE-AKI Consortium
Western University · CADuke University · USUniversity of California, San Francisco · USUniversity of Chicago · USYale University · US

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S. · 2008 to 2022
$16.8M
Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
Long-term Prognosis of Acute Kidney Injury in Cardiac SurgeryK23DK080132 · NIDDK · YALE UNIVERSITY · PI COCA, STEVEN G · 2008 to 2012
$957k
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
The Role of Cystatin C in Acute Kidney InjuryK23DK081616 · NIDDK · UNIVERSITY OF CHICAGO · PI KOYNER, JAY L · 2009 to 2013
$718k
NCATS NIH HHS UL1 TR000430NHLBI NIH HHS R01 HL085757NHLBI NIH HHS R01HL085757NIDDK NIH HHS K23 DK080132NIDDK NIH HHS K23DK080132NIDDK NIH HHS K23 DK081616NIDDK NIH HHS K23DK081616NIDDK NIH HHS K24 DK090203NIDDK NIH HHS K24DK090203NIDDK NIH HHS P30 DK079310NIDDK NIH HHS U01 DK082185NIDDK NIH HHS U01DK082185
6 · The paper itself

Abstract

backgroundThe interaction between baseline kidney function and the performance of biomarkers of acute kidney injury (AKI) on the development of AKI is unclear. STUDY

designPost hoc analysis of prospective cohort study. SETTING &

participantsThe 1,219 TRIBE-AKI Consortium adult cardiac surgery cohort participants. PREDICTOR: Unadjusted postoperative urinary biomarkers of AKI measured within 6 hours of surgery. OUTCOME: AKI was defined as AKI Network stage 1 (any AKI) or higher, as well as a doubling of serum creatinine level from the preoperative value or the need for post-operative dialysis (severe AKI). MEASUREMENTS: Stratified analyses by preoperative estimated glomerular filtration rate (eGFR) ≤ 60 versus > 60mL/min/1.73m(2).

results180 (42%) patients with preoperative eGFRs≤60mL/min/1.73m(2) developed clinical AKI compared with 246 (31%) of those with eGFRs>60mL/min/1.73m(2) (P<0.001). For log2-transformed biomarker concentrations, there was a significant interaction between any AKI and baseline eGFR for interleukin 18 (P=0.007) and borderline significance for liver-type fatty acid binding protein (P=0.06). For all biomarkers, the adjusted relative risk (RR) point estimates for the risk for any AKI were higher in those with elevated baseline eGFRs compared with those with eGFRs≤60mL/min/1.73m(2). However, the difference in magnitude of these risks was low (adjusted RRs were 1.04 [95% CI, 0.99-1.09] and 1.11 [95% CI, 1.07-1.15] for those with preoperative eGFRs≤60mL/min/1.73m(2) and those with higher eGFRs, respectively). Although no biomarker displayed an interaction for baseline eGFR and severe AKI, log2-transformed interleukin 18 and kidney injury molecule 1 had significant adjusted RRs for severe AKI in those with and without baseline eGFRs≤60mL/min/1.73m(2). LIMITATIONS: Limited numbers of patients with severe AKI and post-operative dialysis.

conclusionsThe association between early postoperative AKI urinary biomarkers and AKI is modified by preoperative eGFR. The degree of this modification and its impact on the biomarker-AKI association is small across biomarkers. Our findings suggest that distinct biomarker cutoffs for those with and without a preoperative eGFR≤60mL/min/1.73m(2) is not necessary.

Indexed as

Glomerular Filtration RateAcute Kidney InjuryAgedAged, 80 and overBiomarkersCardiac Surgical ProceduresCohort StudiesCreatinineCystatin CFemaleHumansMaleMiddle AgedPostoperative ComplicationsProspective StudiesBiomarkersCreatinineCystatin Cacute kidney injury (AKI)acute renal failure (ARF)cardiac surgeryeffect modificationestimated glomerular filtration rate (eGFR)interleukin 18 (IL-18)liver-type fatty acid binding protein (L-FABP)perioperative AKIprognosissurgical complicationUrine biomarkers

Identifiers

PMID26386737
PMCPMC4658239
OpenAlexW1773240723

What OpenQuestion holds

Textmetadata
LicenceTDM
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.