Evidence map›Paper›PMID 35812275›Full record

ArticleKidney international reports2022

Considerations in Controlling for Urine Concentration for Biomarkers of Kidney Disease Progression After Acute Kidney Injury.

Yumeng Wen, Heather Thiessen-Philbrook, Dennis G Moledina, James S Kaufman, W Brian Reeves, Nasrollah Ghahramani, T Alp Ikizler, Alan S Go, Kathleen D Liu, Eddie D Siew and 4 more

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. 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

14 authors at 10 institutions in 1 country.

Yumeng WenDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Heather Thiessen-PhilbrookDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Dennis G MoledinaClinical and Translational Research Accelerator, Section of Nephrology, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
James S KaufmanDivision of Nephrology, Department of Medicine, New York University School of Medicine, New York, New York, USA.
W Brian ReevesDepartment of Medicine, Joe R. and Teresa Lozano Long School of Medicine, University of Texas San Antonio, Texas, USA.
Nasrollah GhahramaniDivision of Nephrology, Department of Medicine, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA.
T Alp IkizlerDivision of Nephrology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA.
Alan S GoKaiser Permanente Division of Research, Oakland, California, USA.
Kathleen D LiuDivision of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
Eddie D SiewDivision of Nephrology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA.
Jonathan HimmelfarbKidney Research Institute, Department of Medicine, University of Washington, Seattle, Washington, USA.
Paul L KimmelNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Chi-Yuan HsuKaiser Permanente Division of Research, Oakland, California, USA.
Chirag R ParikhDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins University · USKaiser Permanente · USVanderbilt University · USNational Institutes of Health · USPennsylvania State University · USThe University of Texas at San Antonio · USUniversity of California, San Francisco · USUniversity of Washington · USVA NY Harbor Healthcare System · USYale University · 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
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
Novel Kidney Injury Tools in Deceased Organ Donation to Predict Graft OutcomesR01DK093770 · NIDDK · YALE UNIVERSITY · PI Chirag R Parikh · 2012 to 2026
$9.5M
Genetic Determinants of Outcomes in Acute Kidney InjuryU01DK084012 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN, WURFEL, MARK M · 2010 to 2019
$6.2M
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
Acute kidney injury among patients with chronic kidney diseaseR01DK114014 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 2018 to 2021
$3.0M
Identifying opportunities to lower rates of AKI and improve outcomesR01DK101507 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GO, ALAN S, HSU, CHI-YUAN · 2014 to 2017
$2.1M
Acute Kidney Injury: A Novel Risk Factor for Cardiovascular EventsR01DK098233 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIU, KATHLEEN D · 2014 to 2017
$1.9M
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
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL085757NIDDK NIH HHS K23 DK100468NIDDK NIH HHS K23 DK117065NIDDK NIH HHS R01 DK093770NIDDK NIH HHS R01 DK098233NIDDK NIH HHS R01 DK101507NIDDK NIH HHS R01 DK114014NIDDK NIH HHS R03 DK111881NIDDK NIH HHS U01 DK082183NIDDK NIH HHS U01 DK082185NIDDK NIH HHS U01 DK082192NIDDK NIH HHS U01 DK082223NIDDK NIH HHS U01 DK084012NIDDK NIH HHS UH3 DK114866
6 · The paper itself

Abstract

Introduction: Biomarkers of acute kidney injury (AKI) are often indexed to urine creatinine (UCr) or urine osmolarity (UOsm) to control for urine concentration. We evaluated how these approaches affect the biomarker-outcome association in patients with AKI. Methods: The Assessment, Serial Evaluation, and Subsequent Sequelae in Acute Kidney Injury Study was a cohort of hospitalized patients with and without AKI between 2009 and 2015. Using Cox proportional hazards regression, we assessed the associations and predictions (C-statistics) of urine biomarkers with a composite outcome of incident chronic kidney disease (CKD) and CKD progression. We used 4 approaches to account for urine concentration: indexing and adjusting for UCr and UOsm. Results: Among 1538 participants, 769 (50%) had AKI and 300 (19.5%) developed composite CKD outcome at median follow-up of 4.7 years. UCr and UOsm during hospitalization were inversely associated with the composite CKD outcome. The associations and predictions with CKD were significantly strengthened after indexing or adjusting for UCr or UOsm for urine kidney injury molecule-1 (KIM-1), interleukin-18 (IL-18), and monocyte chemoattractant protein-1 (MCP-1) in patients with AKI. There was no significant improvement with indexing or adjusting UCr or UOsm for albumin, neutrophil gelatinase-associated lipocalin (NGAL), and chitinase 3-like 1 (YKL-40). Uromodulin's (UMOD) inverse association with the outcome was significantly blunted after indexing but not adjusting for UCr or UOsm. Conclusion: UCr and UOsm during hospitalization are inversely associated with development and progression of CKD. Indexing or adjusting for UCr or UOsm strengthened associations and improved predictions for CKD for only some biomarkers. Incorporating urinary concentration should be individualized for each biomarker in research and clinical applications.

Indexed as

acute kidney injurybiomarkerchronic kidney diseaseurine concentrationurine creatinineurine osmolarity

Identifiers

PMID35812275
PMCPMC9263319
OpenAlexW4226050292

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.