Evidence map›Paper›PMID 42224350›Full record

ArticlePloS one2026

Markers of kidney tubule dysfunction and injury and long-term risk of acute kidney injury following coronary artery bypass graft surgery.

Lauren Shingler, Ashutosh Tamhane, Ching-Min Chu, Jennifer A Frey, Emily B Levitan, Suzanne E Judd, Alexander L Bullen, Edward D Siew, Joseph V Bonventre, Michael G Shlipak and 6 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Lauren ShinglerDepartment of Emergency Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.ORCID https://orcid.org/0009-0001-0692-9967
Ashutosh TamhaneDepartment of Medicine, Division of Nephrology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Ching-Min ChuDepartment of Emergency Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.ORCID https://orcid.org/0009-0001-3737-3041
Jennifer A FreyDepartment of Emergency Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Emily B LevitanDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Suzanne E JuddDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Alexander L BullenDepartment of Medicine, Division of Nephrology - Hypertension, University of California San Diego, UC San Diego Health, San Diego, California, United States of America.
Edward D SiewDepartment of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Joseph V BonventreDepartment of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Michael G ShlipakDepartment of Nephrology, Kidney Health Research Collaborative, University of California San Francisco, and San Francisco Veterans Affairs Healthcare System, San Francisco, California, United States of America.
Byron JaegerBowman Gray Center for Medical Education, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America.
Jesse C SeegmillerDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America.ORCID https://orcid.org/0000-0003-2542-6502
Alexander KeisterDepartment of Emergency Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Orlando M GutierrezDepartment of Medicine, Division of Nephrology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Joachim H IxDepartment of Medicine, Division of Nephrology - Hypertension, University of California San Diego, UC San Diego Health, San Diego, California, United States of America.
Henry E WangDepartment of Emergency Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.ORCID https://orcid.org/0000-0002-4738-0093

Funding

Mechanisms of Ischemic Kidney Injury and RepairR01DK039773 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI JOSEPH VINCENT BONVENTRE · 1987 to 2026
$6.2M
NIDDK NIH HHS R01 DK039773
6 · The paper itself

Abstract

backgroundApproximately one in five patients undergoing coronary artery bypass graft (CABG) surgery will develop post-operative acute kidney injury (AKI). We sought to determine whether biomarkers of kidney tubule dysfunction and injury are associated with long-term risk of acute kidney injury (AKI) after coronary artery bypass graft (CABG) surgery.

methodsWe performed a cohort study using data from the REasons for Geographic And Racial Differences in Stroke (REGARDS), a national, population-based, longitudinal cohort study of 30,239 U.S. adults aged ≥45 years. Of 760 REGARDS participants who underwent CABG surgery after their REGARDS baseline visit, we excluded those with a history of dialysis or kidney transplant, missing laboratory data or with illegible or erroneous records, leaving 394 in the analysis. Exposures included urinary biomarkers of kidney tubule dysfunction (urine alpha-1 microglobulin [A1M], uromodulin [UMOD] and epidermal growth factor [EGF]) and injury (kidney injury molecule-1 [KIM-1]), measured at an average of 5.5 years before CABG surgery. The primary outcome was AKI development following CABG surgery, defined as an increase in serum creatinine ≥0.3 mg/dL from 48 hours prior to CABG surgery to end of hospitalization.

resultsOf 394 participants, 176 (45%) experienced post-CABG surgery AKI. Higher baseline urine A1M was associated with higher odds of AKI (adjusted OR 1.34 per 2-fold higher A1M, 95% Confidence Interval (CI): 1.00-1.80). Higher urine UMOD was associated with lower odds of AKI (adjusted OR 0.77 per 2-fold higher UMOD, 95% CI 0.62-0.95). Higher EGF showed a tendency towards lower odds of AKI (adjusted OR 0.79 per 2-fold higher EGF, 95% CI 0.59-1.05). KIM-1 was not associated with AKI (adjusted OR 0.92 per 2-fold higher KIM-1, 95% CI 0.77-1.10).

conclusionsSelect biomarkers of kidney tubule dysfunction, but not injury, are associated with future risk of AKI after CABG surgery. Biomarkers measured years before surgery may predict post-CABG surgery AKI.

Indexed as

Acute Kidney InjuryCoronary Artery BypassKidney TubulesPostoperative ComplicationsAgedAlpha-GlobulinsBiomarkersEpidermal Growth FactorFemaleHepatitis A Virus Cellular Receptor 1HumansLongitudinal StudiesMaleMiddle AgedRisk FactorsUromodulinalpha-1-microglobulinAlpha-GlobulinsBiomarkersEpidermal Growth FactorHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1Uromodulin

Identifiers

PMID42224350
PMCPMC13225655

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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.