Publication

Admission Urinary and Serum Metabolites Predict Renal Outcomes in Hospitalized Patients With Cirrhosis

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Last modified
  • 09/18/2025
Type of Material
Authors
    Ram Subramanian, Emory UniversityJasmohan S Bajaj, Virginia Commonwealth UniversityGuadalupe Garcia-Tsao, Yale UniversityRajender K Reddy, University of PennsylvaniaJacqueline G O'Leary, Dallas Veterans Affairs Medical CenterHugo E Vargas, Mayo Clinic ArizonaJennifer C Lai, University of California San FranciscoPatrick S Kamath, Mayo Clinic RochesterPuneeta Tandon, University of AlbertaPaul Thuluvath, Mercy Medical CenterAndrew Fagan, Virginia Commonwealth UniversityTejasav Sehrawat, Mayo Clinic RochesterRandolph De La Rosa Rodriguez, Yale UniversityLeroy R Thacker, Virginia Commonwealth UniversityFlorence Wong, University of Toronto
Language
  • English
Date
  • 2021-07-08
Publisher
  • WILEY
Publication Version
Copyright Statement
  • © 2021 by the American Association for the Study of Liver Diseases.
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 74
Issue
  • 5
Start Page
  • 2699
End Page
  • 2713
Grant/Funding Information
  • Supported by VA Merit Review (I0CX00176) and National Center for Advancing Translational Sciences/National Institutes of Health (R21TR003095 and R21TR002024) and investigator-initiated grants from Grifols and Mallinckrodt Pharmaceuticals
  • Additional support was received from the National Institute of Diabetes and Digestive and Kidney Diseases (P30DK026743)
Supplemental Material (URL)
Abstract
  • Background and Aims: Acute kidney injury (AKI) has a poor prognosis in cirrhosis. Given the variability of creatinine, the prediction of AKI and dialysis by other markers is needed. The aim of this study is to determine the role of serum and urine metabolomics in the prediction of AKI and dialysis in an inpatient cirrhosis cohort. Approach and Results: Inpatients with cirrhosis from 11 North American Consortium of End-stage Liver Disease centers who provided admission serum/urine when they were AKI and dialysis-free were included. Analysis of covariance adjusted for demographics, infection, and cirrhosis severity was performed to identify metabolites that differed among patients (1) who developed AKI or not; (2) required dialysis or not; and/pr (3) within AKI subgroups who needed dialysis or not. We performed random forest and AUC analyses to identify specific metabolite(s) associated with outcomes. Logistic regression with clinical variables with/without metabolites was performed. A total of 602 patients gave serum (218 developed AKI, 80 needed dialysis) and 435 gave urine (164 developed AKI, 61 needed dialysis). For AKI prediction, clinical factor–adjusted AUC was 0.91 for serum and 0.88 for urine. Major metabolites such as uremic toxins (2,3-dihydroxy-5-methylthio-4-pentenoic acid [DMTPA], N2N2dimethylguanosine, uridine/pseudouridine) and tryptophan/tyrosine metabolites (kynunerate, 8-methoxykyunerate, quinolinate) were higher in patients who developed AKI. For dialysis prediction, clinical factor–adjusted AUC was 0.93 for serum and 0.91 for urine. Similar metabolites as AKI were altered here. For dialysis prediction in those with AKI, the AUC was 0.81 and 0.79 for serum/urine. Lower branched-chain amino-acid (BCAA) metabolites but higher cysteine, tryptophan, glutamate, and DMTPA were seen in patients with AKI needing dialysis. Serum/urine metabolites were additive to clinical variables for all outcomes. Conclusions: Specific admission urinary and serum metabolites were significantly additive to clinical variables to predict AKI development and dialysis initiation in inpatients with cirrhosis. These observations can potentially facilitate earlier initiation of renoprotective measures.
Author Notes
  • Jasmohan S. Bajaj, M.D., Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and Central Virginia Veterans, Healthcare System, 1201 Broad Rock Boulevard, Richmond, VA 23249.Tel.: +1-804-675-5802. Email: jasmohan.bajaj@vcuhealth.org
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