Evidence map›Paper›PMID 24619058›Full record

Observational studyNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2014

Plasma inflammatory and apoptosis markers are associated with dialysis dependence and death among critically ill patients receiving renal replacement therapy.

Raghavan Murugan, Xiaoyan Wen, Nilesh Shah, Minjae Lee, Lan Kong, Francis Pike, Christopher Keener, Mark Unruh, Kevin Finkel, Anitha Vijayan and 6 more

Open access · bronzeAbstract readComparative StudyMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
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  5. Article
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  8. Article
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  10. Therapeutic Modulation of the Host Defense by Hemoadsorption with CytoSorbInternational journal of molecular sciences · 2021
    Article
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  15. Iron, Hepcidin, and Death in Human AKI.Journal of the American Society of Nephrology : JASN · 2019
    Article
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  19. [Interactions between lung and kidney in the critically ill].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2018
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 1 country.

Raghavan MuruganThe Center for Critical Care Nephrology, CRISMA, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA The Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Xiaoyan WenThe Center for Critical Care Nephrology, CRISMA, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA The Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Nilesh ShahThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Minjae LeeThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA Center for Clinical and Translational Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Lan KongThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA Division of Biostatistics and Bioinformatics, Department of Public Health Sciences, Penn State Hershey College of Medicine, Hershey, PA, USA.
Francis PikeThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Christopher KeenerThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Mark UnruhDivision of Nephrology, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA.
Kevin FinkelDivision of Renal Diseases and Hypertension, University of Texas Medical School at Houston, Houston, TX, USA.
Anitha VijayanDivision of Renal Diseases, Washington University, St. Louis, MO, USA.
Paul M PalevskyThe Center for Critical Care Nephrology, CRISMA, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA Renal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Emil PaganiniCleveland Clinic Foundation, Cleveland, OH, USA.
Melinda CarterThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Michele ElderThe Center for Critical Care Nephrology, CRISMA, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA The Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
John A KellumThe Center for Critical Care Nephrology, CRISMA, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA The Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Biological Markers for Recovery of Kidney (BioMaRK) Study Investigators
University of Pittsburgh · USCleveland Clinic · USPennsylvania State University · USUniversity of New Mexico · USWashington University in St. Louis · US

Funding

University of Pittsburgh Clinical and Translational Science InstitutionKL2TR000146 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$8.7M
Protocolized Goal-directed Resuscitation of Septic Shock to Prevent AKI (ProGReSSR01DK083961 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KELLUM, JOHN A · 2010 to 2013
$2.6M
Biological Markers of Recovery for the KidneyR01DK070910 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KELLUM, JOHN A · 2006 to 2010
$1.8M
NCATS NIH HHS KL2TR000146NIDDK NIH HHS R01 DK070910NIDDK NIH HHS R01DK070910NIDDK NIH HHS R01DK083961NIDDK NIH HHS Y1-DK-3508
6 · The paper itself

Abstract

backgroundSurvivors of critical illness complicated by acute kidney injury requiring renal replacement therapy (RRT) are at an increased risk of dialysis dependence and death but the mechanisms are unknown.

methodsIn a multicenter, prospective, cohort study of 817 critically ill patients receiving RRT, we examined association between Day 1 plasma inflammatory [interleukin (IL)-1β, IL-6, IL-8, IL-10 and IL-18; macrophage migration inhibitory factor (MIF) and tumor necrosis factor]; apoptosis [tumor necrosis factor receptor (TNFR)-I and TNFR-II and death receptor (DR)-5]; and growth factor (granulocyte macrophage colony stimulating factor) biomarkers and renal recovery and mortality at Day 60. Renal recovery was defined as alive and RRT independent.

resultsOf 817 participants, 36.5% were RRT independent and 50.8% died. After adjusting for differences in demographics, comorbid conditions; premorbid creatinine; nephrotoxins; sepsis; oliguria; mechanical ventilation; RRT dosing; and severity of illness, increased concentrations of plasma IL-8 and IL-18 and TNFR-I were independently associated with slower renal recovery [adjusted hazard ratio (AHR) range for all markers, 0.70-0.87]. Higher concentrations of IL-6, IL-8, IL-10 and IL-18; MIF; TNFR-I and DR-5 were associated with mortality (AHR range, 1.16-1.47). In an analysis of multiple markers simultaneously, increased IL-8 [AHR, 0.80, 95% confidence interval (95% CI) 0.70-0.91, P < 0.001] and TNFR-I (AHR, 0.63, 95% CI 0.50-0.79, P < 0.001) were associated with slower recovery, and increased IL-8 (AHR, 1.26, 95% CI 1.14-1.39, P < 0.001); MIF (AHR, 1.18, 95% CI 1.08-1.28, P < 0.001) and TNFR-I (AHR, 1.26, 95% CI 1.02-1.56, P < 0.03) were associated with mortality.

conclusionsElevated plasma concentrations of inflammatory and apoptosis biomarkers are associated with RRT dependence and death. Our data suggest that future interventions should investigate broad-spectrum immune-modulation to improve outcomes.

Indexed as

Acute Kidney InjuryBiomarkersCase-Control StudiesCritical IllnessCytokinesFemaleHumansMaleMiddle AgedPrognosisProspective StudiesReceptors, Death DomainRenal DialysisSurvival RateBiomarkersCytokinesReceptors, Death Domainacute kidney injurybiomarkersmortalityrenal recoveryrenal replacement therapy

Identifiers

PMID24619058
PMCPMC4173817
OpenAlexW2145515821

What OpenQuestion holds

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Registered trials

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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.