Evidence map›Paper›PMID 37263570›Full record

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

Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19.

Steven Menez, Steven G Coca, Dennis G Moledina, Yumeng Wen, Lili Chan, Heather Thiessen-Philbrook, Wassim Obeid, Brian T Garibaldi, Evren U Azeloglu, Ugochukwu Ugwuowo and 8 more

Open access · hybridAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Biomarker Panels for Predicting Progression of Kidney Disease in Acute Kidney Injury Survivors.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  7. Article
  8. Review
  9. 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

18 authors at 5 institutions in 1 country.

Steven MenezDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Steven G CocaDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Dennis G MoledinaSection of Nephrology and Clinical and Translational Research Accelerator, Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut.
Yumeng WenDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Lili ChanDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Heather Thiessen-PhilbrookDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Wassim ObeidDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Brian T GaribaldiDivision of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Evren U AzelogluDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Ugochukwu UgwuowoSection of Nephrology and Clinical and Translational Research Accelerator, Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut.
C John SperatiDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Lois J ArendDepartment of Medicine, and Division of Renal Pathology, Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Avi Z RosenbergDepartment of Medicine, and Division of Renal Pathology, Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Madhurima KaushalDivision of Nephrology, Department of Medicine, School of Medicine, Washington University in St. Louis, St. Louis, Missouri.
Sanjay JainDivision of Nephrology, Department of Medicine, School of Medicine, Washington University in St. Louis, St. Louis, Missouri; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri.
F Perry WilsonSection of Nephrology and Clinical and Translational Research Accelerator, Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut.
Chirag R ParikhDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland. Electronic address: chirag.parikh@jhmi.edu.
TRIKIC Consortium
Johns Hopkins University · USIcahn School of Medicine at Mount Sinai · USYale University · USJohns Hopkins Medicine · USWashington University in St. Louis · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
ConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2017 to 2021
$21.0M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S. · 2008 to 2022
$16.8M
Novel Kidney Injury Tools in Deceased Organ Donation to Predict Graft OutcomesR01DK093770 · NIDDK · YALE UNIVERSITY · PI Chirag R Parikh · 2012 to 2026
$9.5M
Prediction of Major Adverse Kidney Events and Recovery (Pred-MAKER) in COVID-19 PatientsR01DK118222 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Evren U. AZELOGLU · 2018 to 2026
$4.3M
Post-Discharge Nephrology Follow-up for Improved OutcomesU01DK129984 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Chirag R Parikh · 2021 to 2026
$4.2M
Optimizing Electronic Alerts for Acute Kidney InjuryR01DK113191 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2018 to 2022
$3.1M
Spatial Metabolomics for Human KidneysUH3DK114920 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SHARMA, KUMAR · 2019 to 2021
$2.7M
Nephron Sub-segmental Omics and Quantitative 3D Imaging of Human Kidney.UH3DK114923 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI ASHKAR, TAREK MAURICE, DAGHER, PIERRE C · 2019 to 2021
$2.2M
AHRQ HHS R01 HS027626NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002345NCATS NIH HHS UL1 TR004419NCI NIH HHS P30 CA091842NIDDK NIH HHS K23 DK117065NIDDK NIH HHS K23 DK124645NIDDK NIH HHS K23 DK128538NIDDK NIH HHS P30 DK079310NIDDK NIH HHS R01 DK093770NIDDK NIH HHS R01 DK113191NIDDK NIH HHS R01 DK118222NIDDK NIH HHS U01 DK129984NIDDK NIH HHS U2C DK114886NIDDK NIH HHS UH3 DK114861NIDDK NIH HHS UH3 DK114866NIDDK NIH HHS UH3 DK114870NIDDK NIH HHS UH3 DK114907NIDDK NIH HHS UH3 DK114908NIDDK NIH HHS UH3 DK114915NIDDK NIH HHS UH3 DK114920NIDDK NIH HHS UH3 DK114923NIDDK NIH HHS UH3 DK114926NIDDK NIH HHS UH3 DK114933NIDDK NIH HHS UH3 DK114937NIH HHS S10 OD026880NIH HHS S10 OD030463
6 · The paper itself

Abstract

RATIONALE &

objectivePatients hospitalized with COVID-19 are at increased risk for major adverse kidney events (MAKE). We sought to identify plasma biomarkers predictive of MAKE in patients hospitalized with COVID-19. STUDY

designProspective cohort study. SETTING &

participantsA total of 576 patients hospitalized with COVID-19 between March 2020 and January 2021 across 3 academic medical centers. EXPOSURE: Twenty-six plasma biomarkers of injury, inflammation, and repair from first available blood samples collected during hospitalization. OUTCOME: MAKE, defined as KDIGO stage 3 acute kidney injury (AKI), dialysis-requiring AKI, or mortality up to 60 days. ANALYTICAL APPROACH: Cox proportional hazards regression to associate biomarker level with MAKE. We additionally applied the least absolute shrinkage and selection operator (LASSO) and random forest regression for prediction modeling and estimated model discrimination with time-varying C index.

resultsThe median length of stay for COVID-19 hospitalization was 9 (IQR, 5-16) days. In total, 95 patients (16%) experienced MAKE. Each 1 SD increase in soluble tumor necrosis factor receptor 1 (sTNFR1) and sTNFR2 was significantly associated with an increased risk of MAKE (adjusted HR [AHR], 2.30 [95% CI, 1.86-2.85], and AHR, 2.26 [95% CI, 1.73-2.95], respectively). The C index of sTNFR1 alone was 0.80 (95% CI, 0.78-0.84), and the C index of sTNFR2 was 0.81 (95% CI, 0.77-0.84). LASSO and random forest regression modeling using all biomarkers yielded C indexes of 0.86 (95% CI, 0.83-0.89) and 0.84 (95% CI, 0.78-0.91), respectively. LIMITATIONS: No control group of hospitalized patients without COVID-19.

conclusionsWe found that sTNFR1 and sTNFR2 are independently associated with MAKE in patients hospitalized with COVID-19 and can both also serve as predictors for adverse kidney outcomes. PLAIN-LANGUAGE SUMMARY: Patients hospitalized with COVID-19 are at increased risk for long-term adverse health outcomes, but not all patients suffer long-term kidney dysfunction. Identification of patients with COVID-19 who are at high risk for adverse kidney events may have important implications in terms of nephrology follow-up and patient counseling. In this study, we found that the plasma biomarkers soluble tumor necrosis factor receptor 1 (sTNFR1) and sTNFR2 measured in hospitalized patients with COVID-19 were associated with a greater risk of adverse kidney outcomes. Along with clinical variables previously shown to predict adverse kidney events in patients with COVID-19, both sTNFR1 and sTNFR2 are also strong predictors of adverse kidney outcomes.

Indexed as

Acute Kidney InjuryCOVID-19BiomarkersHumansKidneyProspective StudiesRisk FactorsBiomarkersAcute kidney injury (AKI)biomarkerschronic kidney disease (CKD)COVID-19

Identifiers

PMID37263570
PMCPMC10229201
OpenAlexW4378901568

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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.