Evidence map›Paper›PMID 37781965›Full record

ArticleAlimentary pharmacology & therapeutics2023

In severe alcohol-related hepatitis, acute kidney injury is prevalent, associated with mortality independent of liver disease severity, and can be predicted using IL-8 and micro-RNAs.

Luke D Tyson, Stephen Atkinson, Robert W Hunter, Michael Allison, Andrew Austin, James W Dear, Ewan Forrest, Tong Liu, Emma Lord, Steven Masson and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Alimentary pharmacology & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-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

7 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 11 institutions in 3 countries.

Luke D TysonDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.ORCID 0000-0003-2745-0282
Stephen AtkinsonDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Robert W HunterCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Michael AllisonCambridge NIHR Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, UK.
Andrew AustinDepartment of Hepatology, Royal Derby Hospital, Derby, UK.
James W DearCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-8630-8625
Ewan ForrestDepartment of Hepatology, Glasgow Royal Infirmary, Glasgow, UK.ORCID 0000-0002-7293-2574
Tong LiuDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Emma LordDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Steven MassonDepartment of Hepatology, Newcastle Freeman Hospital, Newcastle upon Tyne, UK.ORCID 0000-0003-1041-9844
Joao NunesMeso Scale Diagnostics, Gaithersburg, USA.
Paul RichardsonDepartment of Hepatology, The Royal Liverpool University Hospital, Liverpool, UK.
Stephen D RyderNIHR Nottingham Biomedical Research Centre at Nottingham University Hospitals NHS Trust and the University of Nottingham, Queens Medical Centre, Nottingham, UK.
Mark WrightDepartment of Hepatology, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Mark ThurszDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Nikhil VergisDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
St Mary's Hospital Centre · CAImperial College London · GBUniversity of Edinburgh · GBAddenbrooke's Hospital · GBFreeman Hospital · GBGlasgow Royal Infirmary · GBMeso Scale Discovery (United States) · USNottingham University Hospitals NHS Trust · GBRoyal Derby Hospital · GBUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Liverpool · GB

Funding

Medical Research Council MR/R014019/1
6 · The paper itself

Abstract

backgroundThe prevalence, prediction and impact of acute kidney injury (AKI) in alcohol-related hepatitis (AH) is uncertain.

aimsWe aimed to determine AKI incidence; association with mortality; evaluate serum biomarkers and the modifying effects of prednisolone and pentoxifylline in the largest AH cohort to date.

methodsParticipants in the Steroids or Pentoxifylline for Alcoholic Hepatitis trial with day zero (D0) creatinine available were included. AKI was defined by modified International Club of Ascites criteria; incident AKI as day 7 (D7) AKI without D0-AKI. Survival was compared by Kaplan-Meier; mortality associations by Cox regression; associations with AKI by binary logistic regression; biomarkers by AUROC analyses.

resultsD0-AKI was present in 198/1051 (19%) participants; incident AKI developed in a further 119/571 (21%) with available data. Participants with D0-AKI had higher 90-day mortality than those without (32% vs. 25%, p = 0.008), as did participants with incident AKI compared to those without D0-AKI or incident AKI (47% vs. 25%, p < 0.001). Incident AKI was associated with D90 mortality adjusted for age and discriminant function (AHR 2.15, 1.56-2.97, p < 0.001); D0-AKI was not. Prednisolone therapy reduced incident AKI (AOR 0.55, 0.36-0.85, p = 0.007) but not mortality. D0 bilirubin and IL-8 combined, miR-6826-5p, and miR-6811-3p predicted incident AKI (AUROCs 0.726, 0.821, 0.770, p < 0.01).

conclusionsIncident AKI is associated with 90-day mortality independent of liver function. Prednisolone therapy was associated with reduced incident AKI. IL-8 and several miRNAs are potential biomarkers to predict AKI. Novel therapies to prevent incident AKI should be evaluated in AH to reduce mortality.

Indexed as

Acute Kidney InjuryHepatitis, AlcoholicMicroRNAsPentoxifyllineBiomarkersHumansInterleukin-8Patient AcuityPrednisoloneBiomarkersInterleukin-8MicroRNAsPentoxifyllinePrednisolone

Identifiers

PMID37781965
PMCPMC10946848
OpenAlexW4387241936

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.