Evidence map›Paper›PMID 34002868›Full record

Observational studyHepatology (Baltimore, Md.)2021

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

Jasmohan S Bajaj, Guadalupe Garcia-Tsao, K Rajender Reddy, Jacqueline G O'Leary, Hugo E Vargas, Jennifer C Lai, Patrick S Kamath, Puneeta Tandon, Ram M Subramanian, Paul Thuluvath and 5 more

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Hepatology (Baltimore, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Observational
  8. Review
  9. NADTrends in molecular medicine · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Innovative approaches to the management of ascites in cirrhosis.JHEP reports : innovation in hepatology · 2023
    Review
  19. Admission Serum Metabolites and Thyroxine Predict Advanced Hepatic Encephalopathy in a Multicenter Inpatient Cirrhosis Cohort.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 11 institutions in 2 countries.

Jasmohan S BajajVirginia Commonwealth University and Central Virginia Veterans Healthcare System, Richmond, VA.ORCID 0000-0003-4928-3681
Guadalupe Garcia-TsaoYale University Medical Center, New Haven, CT.
K Rajender ReddyUniversity of Pennsylvania Medical Center, Philadelphia, PA.ORCID 0000-0002-4898-7778
Jacqueline G O'LearyDallas Veterans Affairs Medical Center, Dallas, TX.
Hugo E VargasMayo Clinic Arizona, Phoenix, AR.ORCID 0000-0002-7802-688X
Jennifer C LaiUniversity of California, San Francisco, San Francisco, CA.
Patrick S KamathMayo Clinic Rochester, Rochester, MN.
Puneeta TandonUniversity of Alberta, Edmonton, AB, Canada.
Ram M SubramanianEmory University, Atlanta, GA.
Paul ThuluvathMercy Medical Center, Baltimore, MD.
Andrew FaganVirginia Commonwealth University and Central Virginia Veterans Healthcare System, Richmond, VA.
Tejasav SehrawatMayo Clinic Rochester, Rochester, MN.ORCID 0000-0001-7346-5683
Randolph de la Rosa RodriguezYale University Medical Center, New Haven, CT.
Leroy R ThackerVirginia Commonwealth University and Central Virginia Veterans Healthcare System, Richmond, VA.
Florence WongUniversity of Toronto, Toronto, ON, Canada.ORCID 0000-0001-9263-8869
Virginia Commonwealth University · USMayo Clinic · USYale Cancer Center · USEmory University · USMayo Clinic in Arizona · USMercy Medical Center · USPhiladelphia VA Medical Center · USUniversity of Alberta · CAUniversity of California, San Francisco · USUniversity of Toronto · CAVeterans Health Administration · US

Funding

Yale Liver CenterP30DK034989 · NIDDK · YALE UNIVERSITY · PI YASUKO IWAKIRI · 1986 to 2026
$31.1M
UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
Gut Microbiota in the Modulation of Outcomes after Liver TransplantR21TR003095 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI BAJAJ, JASMOHAN S, VERNA, ELIZABETH CLARICE · 2020 to 2021
$448k
Development of a laboratory frailty index to improve prediction of mortality in patients with cirrhosis awaiting liver transplantationR21AG067554 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LAI, JENNIFER C. · 2020 to 2021
$444k
Modulation of Gut-Brain Axis Using Fecal Microbiome Transplant Capsules in CirrhosisR21TR002024 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI BAJAJ, JASMOHAN S · 2017 to 2018
$414k
CSRD VA I01 CX000176NCATS NIH HHS R21 TR002024NCATS NIH HHS R21 TR003095NIA NIH HHS R21 AG067554NIDDK NIH HHS P30 DK026743NIDDK NIH HHS P30 DK034989
6 · The paper itself

Abstract

BACKGROUND AND

aimsAcute 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

resultsInpatients 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.

conclusionsSpecific 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.

Indexed as

Acute Kidney InjuryAgedBiomarkersEnd Stage Liver DiseaseFemaleHumansLiver CirrhosisMaleMetabolomicsMiddle AgedPatient AdmissionPrognosisProspective StudiesRenal DialysisRisk AssessmentBiomarkers

Identifiers

PMID34002868
PMCPMC9338693
OpenAlexW3162729225

What OpenQuestion holds

Textmetadata
LicenceTDM
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.