Evidence map›Paper›PMID 36108888›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2023

Plasma Soluble Tumor Necrosis Factor Receptor Concentrations and Clinical Events After Hospitalization: Findings From the ASSESS-AKI and ARID Studies.

Steven G Coca, George Vasquez-Rios, Sherry G Mansour, Dennis G Moledina, Heather Thiessen-Philbrook, Mark M Wurfel, Pavan Bhatraju, Jonathan Himmelfarb, Eddie Siew, Amit X Garg and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Plasma Biomarkers of Kidney Tubule Health during Ambulatory AKI and Kidney Function Recovery in SPRINT.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Trial
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Biomarker Panels for Predicting Progression of Kidney Disease in Acute Kidney Injury Survivors.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  8. Article
  9. Article
  10. Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    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

24 authors at 15 institutions in 3 countries.

Steven G CocaDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York. Electronic address: steven.coca@mssm.edu.
George Vasquez-RiosDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Sherry G MansourSection of Nephrology, Yale University School of Medicine, New Haven, Connecticut.
Dennis G MoledinaSection of Nephrology, Yale University School of Medicine, New Haven, Connecticut.
Heather Thiessen-PhilbrookDivision of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland.
Mark M WurfelDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, Washington; Kidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington.
Pavan BhatrajuKidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington.
Jonathan HimmelfarbKidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington.
Eddie SiewDivision of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennesse.
Amit X GargDivision of Nephrology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Chi-Yuan HsuDivision of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California.
Kathleen D LiuDivision of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California.
Paul L KimmelDivision of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland.
Vernon M ChinchilliDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania.
James S KaufmanDivision of Nephrology, Veterans Affairs New York Harbor Healthcare System and New York University School of Medicine, New York, New York.
Michelle WilsonClinical and Biomedical Proteomics Group, Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom.
Rosamonde E BanksClinical and Biomedical Proteomics Group, Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom.
Rebecca PackingtonDepartment of Renal Medicine, Royal Derby Hospital, Derby, United Kingdom.
Eibhlin McColeRandox Teoranta, Donegal, Ireland.
Mary Jo KurthRandox Laboratories Ltd, Crumlin, United Kingdom.
Ciaran RichardsonRandox Teoranta, Donegal, Ireland.
Alan S GoDivision of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California; Division of Research, Kaiser Permanente Northern California, Oakland, California.
Nicholas M SelbyDepartment of Renal Medicine, Royal Derby Hospital, Derby, United Kingdom; Centre for Kidney Research and Innovation, University of Nottingham, Nottingham, United Kingdom.
Chirag R ParikhDivision of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland. Electronic address: chirag.parikh@jhmi.edu.
University of Washington · USIcahn School of Medicine at Mount Sinai · USJohns Hopkins University · USUniversity of California, San Francisco · USUniversity of Leeds · GBYale University · USKaiser Permanente · USNational Institutes of Health · USNew York University · USPennsylvania State University · USRandox (United Kingdom) · GBRoyal Derby Hospital · GBUniversity of Nottingham · GBVanderbilt University Medical Center · USWestern University · CA

Funding

Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 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
Data Coordinating Center for the Natural History of AKI ConsortiumU01DK082183 · NIDDK · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI CHINCHILLI, VERNON M · 2008 to 2018
$9.7M
Vanderbilt O'Brien Kidney Center - Core D - Clinical and Translational CoreP30DK114809 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WILSON, MATTHEW H · 2017 to 2021
$5.9M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
Impact of Acute Kidney Injury on Kidney Disease ProgressionU01DK082192 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI IKIZLER, TALAT ALP · 2008 to 2018
$5.0M
Prospective Evaluation of Acute Kidney Injury (PEAK) CohotU01DK082223 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2008 to 2018
$4.0M
Macrophage Function in Kidney RepairR01DK093771 · NIDDK · YALE UNIVERSITY · PI LLOYD G CANTLEY · 2012 to 2026
$3.9M
Plasminogen in glomerular disease progressionR01DK126477 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Kirk N Campbell · 2020 to 2026
$3.8M
Acute kidney injury among patients with chronic kidney diseaseR01DK114014 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 2018 to 2021
$3.0M
Spatial Metabolomics for Human KidneysUH3DK114920 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SHARMA, KUMAR · 2019 to 2021
$2.7M
Impact of Exercise on Kidney Function and Injury among Elders in the LIFE TrialR01DK115562 · NIDDK · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI COCA, STEVEN G, SHLIPAK, MICHAEL G · 2018 to 2020
$2.2M
NHLBI NIH HHS R01 HL085757NIDDK NIH HHS K01 DK120783NIDDK NIH HHS K23 DK100468NIDDK NIH HHS K23 DK116967NIDDK NIH HHS K23 DK117065NIDDK NIH HHS K24 DK090203NIDDK NIH HHS L30 DK081985NIDDK NIH HHS P30 DK079310NIDDK NIH HHS P30 DK114809NIDDK NIH HHS R01 DK093771NIDDK NIH HHS R01 DK098233NIDDK NIH HHS R01 DK101507NIDDK NIH HHS R01 DK112258NIDDK NIH HHS R01 DK114014NIDDK NIH HHS R01 DK115562NIDDK NIH HHS R01 DK126477NIDDK NIH HHS R03 DK111881NIDDK NIH HHS U01 DK082183NIDDK NIH HHS U01 DK082185NIDDK NIH HHS U01 DK082192NIDDK NIH HHS U01 DK082223NIDDK NIH HHS U01 DK106962NIDDK NIH HHS UH3 DK114920
6 · The paper itself

Abstract

RATIONALE &

objectiveThe role of plasma soluble tumor necrosis factor receptor 1 (sTNFR1) and sTNFR2 in the prognosis of clinical events after hospitalization with or without acute kidney injury (AKI) is unknown. STUDY

designProspective cohort. SETTING &

participantsHospital survivors from the ASSESS-AKI (Assessment, Serial Evaluation, and Subsequent Sequelae of Acute Kidney Injury) and ARID (AKI Risk in Derby) studies with and without AKI during the index hospitalization who had baseline serum samples for biomarker measurements. PREDICTORS: We measured sTNFR1 and sTNFR2 from plasma samples obtained 3 months after discharge. OUTCOMES: The associations of biomarkers with longitudinal kidney disease incidence and progression, heart failure, and death were evaluated. ANALYTICAL APPROACH: Cox proportional hazard models.

resultsAmong 1,474 participants with plasma biomarker measurements, 19% had kidney disease progression, 14% had later heart failure, and 21% died during a median follow-up of 4.4 years. For the kidney outcome, the adjusted HRs (AHRs) per doubling in concentration were 2.9 (95% CI, 2.2-3.9) for sTNFR1 and 1.9 (95% CI, 1.5-2.5) for sTNFR2. AKI during the index hospitalization did not modify the association between biomarkers and kidney events. For heart failure, the AHRs per doubling in concentration were 1.9 (95% CI, 1.4-2.5) for sTNFR1 and 1.5 (95% CI, 1.2-2.0) for sTNFR2. For mortality, the AHRs were 3.3 (95% CI, 2.5-4.3) for sTNFR1 and 2.5 (95% CI, 2.0-3.1) for sTNFR2. The findings in ARID were qualitatively similar in terms of the magnitude of association between biomarkers and outcomes. LIMITATIONS: Different biomarker platforms and AKI definitions; limited generalizability to other ethnic groups.

conclusionsPlasma sTNFR1 and sTNFR2 measured 3 months after hospital discharge were independently associated with clinical events regardless of AKI status during the index admission. sTNFR1 and sTNFR2 may assist with the risk stratification of patients during follow-up.

Indexed as

Acute Kidney InjuryHeart FailureBiomarkersHospitalizationHumansProspective StudiesReceptors, Tumor Necrosis FactorBiomarkersReceptors, Tumor Necrosis FactorAcute kidney injury (AKI)AKI follow-upbiomarkerend-stage kidney disease (ESKD)heart failurehospitalizationkidney disease progressionmortalityprognosisrisk stratificationsoluble tumor necrosis factor receptor 1 (sTNFR1)sTNFR2

Identifiers

PMID36108888
PMCPMC9868060
OpenAlexW4296025987

What OpenQuestion holds

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LicenceTDM
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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.