Evidence map›Paper›PMID 30955944›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2019

The Association of Angiogenesis Markers With Acute Kidney Injury and Mortality After Cardiac Surgery.

Sherry G Mansour, William R Zhang, Dennis G Moledina, Steven G Coca, Yaqi Jia, Heather Thiessen-Philbrook, Eric McArthur, Kazunori Inoue, Jay L Koyner, Michael G Shlipak and 5 more

Open access · greenAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Observational
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  12. Small vessel disease: Connections between the kidney and the heart.American heart journal plus : cardiology research and practice · 2023
    Article
  13. Review
  14. Review
  15. Review
  16. Comparison of proteomic methods in evaluating biomarker-AKI associations in cardiac surgery patients.Translational research : the journal of laboratory and clinical medicine · 2021
    Article
  17. Article
  18. Acute kidney injury and aging.Pediatric nephrology (Berlin, Germany) · 2021
    Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 2 countries.

Sherry G MansourProgram of Applied Translational Research, Department of Medicine, Yale University School of Medicine, New Haven, CT; Section of Nephrology, Yale University School of Medicine, New Haven, CT.
William R ZhangProgram of Applied Translational Research, Department of Medicine, Yale University School of Medicine, New Haven, CT; Kidney Health Research Collaborative and Division of General Internal Medicine, San Francisco Veterans Affairs Medical Center, University of California, San Francisco, CA.
Dennis G MoledinaProgram of Applied Translational Research, Department of Medicine, Yale University School of Medicine, New Haven, CT; Section of Nephrology, Yale University School of Medicine, New Haven, CT.
Steven G CocaDivision of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY.
Yaqi JiaDivision of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, MD.
Heather Thiessen-PhilbrookDivision of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, MD.
Eric McArthurInstitute for Clinical Evaluative Sciences, London, Ontario, Canada.
Kazunori InoueSection of Nephrology, Yale University School of Medicine, New Haven, CT.
Jay L KoynerSection of Nephrology, University of Chicago, Chicago, IL.
Michael G ShlipakKidney Health Research Collaborative and Division of General Internal Medicine, San Francisco Veterans Affairs Medical Center, University of California, San Francisco, CA.
F Perry WilsonProgram of Applied Translational Research, Department of Medicine, Yale University School of Medicine, New Haven, CT; Section of Nephrology, Yale University School of Medicine, New Haven, CT.
Amit X GargDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Shuta IshibeSection of Nephrology, Yale University School of Medicine, New Haven, CT.
Chirag R ParikhDivision of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, MD. Electronic address: chirag.parikh@jhmi.edu.
TRIBE-AKI Consortium
Yale University · USJohns Hopkins University · USIcahn School of Medicine at Mount Sinai · USInstitute for Clinical Evaluative Sciences · CAMcMaster University · CASan Francisco VA Medical Center · USUniversity of California, San Francisco · USUniversity of Chicago · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
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
NRSA Training CoreTL1TR001871 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SOMSOUK, MA · 2016 to 2025
$10.1M
Novel Kidney Injury Tools in Deceased Organ Donation to Predict Graft OutcomesR01DK093770 · NIDDK · YALE UNIVERSITY · PI Chirag R Parikh · 2012 to 2026
$9.5M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
Optimizing Electronic Alerts for Acute Kidney InjuryR01DK113191 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2018 to 2022
$3.1M
Novel serum and urinary biomarkers of diabetic kidney diseaseR01DK096549 · NIDDK · YALE UNIVERSITY · PI COCA, STEVEN G · 2012 to 2016
$2.9M
Identification of Non-Invasive Biomarkers and Indices for Diagnosis of Drug-Induced Acute Interstitial NephritisK23DK117065 · NIDDK · YALE UNIVERSITY · PI MOLEDINA, DENNIS G. · 2018 to 2022
$920k
Mediators & prognostic value of muscle mass & function in chronic kidney diseaseK23DK097201 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2013 to 2017
$916k
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
NCATS NIH HHS TL1 TR001871NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL085757NIDDK NIH HHS K23 DK097201NIDDK NIH HHS K23 DK117065NIDDK NIH HHS K24 DK090203NIDDK NIH HHS P30 DK079310NIDDK NIH HHS R01 DK093770NIDDK NIH HHS R01 DK096549NIDDK NIH HHS R01 DK113191NIDDK NIH HHS U01 DK082185
6 · The paper itself

Abstract

RATIONALE &

objectiveThe process of angiogenesis after kidney injury may determine recovery and long-term outcomes. We evaluated the association of angiogenesis markers with acute kidney injury (AKI) and mortality after cardiac surgery. STUDY

designProspective cohort. SETTING &

participants1,444 adults undergoing cardiac surgery in the TRIBE-AKI (Translational Research Investigating Biomarker Endpoints for Acute Kidney Injury) cohort. EXPOSURES: Plasma concentrations of 2 proangiogenic markers (vascular endothelial growth factor A [VEGF] and placental growth factor [PGF]) and 1 antiangiogenic marker (soluble VEGF receptor 1 [VEGFR1]), measured pre- and postoperatively within 6 hours after surgery. OUTCOMES: AKI, long AKI duration (≥7 days), and 1-year all-cause mortality. ANALYTICAL APPROACH: Multivariable logistic regression.

resultsFollowing cardiac surgery, plasma VEGF concentrations decreased 2-fold, and PGF and VEGFR1 concentrations increased 1.5- and 8-fold, respectively. There were no meaningful associations of preoperative concentrations of angiogenic markers with outcomes of AKI and mortality. Higher postoperative VEGF and PGF concentrations were independently associated with lower odds of AKI (adjusted ORs of 0.89 [95% CI, 0.82-0.98] and 0.69 [95% CI, 0.55-0.87], respectively), long AKI duration (0.65 [95% CI, 0.49-0.87] and 0.48 [95% CI, 0.28-0.82], respectively), and mortality (0.74 [95% CI, 0.62-0.89] and 0.46 [95% CI, 0.31-0.68], respectively). In contrast, higher postoperative VEGFR1 concentrations were independently associated with higher odds of AKI (1.56; 95% CI, 1.31-1.87), long AKI duration (1.75; 95% CI, 1.09-2.82), and mortality (2.28; 95% CI, 1.61-3.22). LIMITATIONS: Angiogenesis markers were not measured after hospital discharge, so we were unable to determine long-term trajectories of angiogenesis marker levels during recovery and follow-up.

conclusionsHigher levels of postoperative proangiogenic markers, VEGF and PGF, were associated with lower AKI and mortality risk, whereas higher postoperative antiangiogenic VEGFR1 levels were associated with higher risk for AKI and mortality.

Indexed as

Acute Kidney InjuryPostoperative ComplicationsAgedBiomarkersCardiac Surgical ProceduresCreatinineEndpoint DeterminationFemaleHumansKidneyMaleMiddle AgedNeovascularization, PhysiologicOutcome Assessment, Health CareProspective StudiesReceptors, Vascular Endothelial Growth FactorBiomarkersCreatinineReceptors, Vascular Endothelial Growth FactorVascular Endothelial Growth Factor AAcute kidney injury (AKI)AKI durationangiogenesisangiogenic growth factorbiomarkercardiac surgerycytokinemortalityplacental growth factor (PGF)soluble VEGF receptor 1 (VEGFR1)vascular endothelial growth factor A (VEGF)VEGF-A

Identifiers

PMID30955944
PMCPMC6591032
OpenAlexW2931055783

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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.