Evidence map›Paper›PMID 39384247›Full record

ArticleBMJ open gastroenterology2024

The LIVERAID (LIVER And Infectious Diseases)-ICU score predicts in-hospital mortality in liver cirrhosis patients with infections in the intensive care unit.

Hauke Hoppmann, Florian Zeman, Daniela Wittmann, Petra Stöckert, Sophie Schlosser-Hupf, Alexander Mehrl, Vlad Pavel, Martina Müller, Stephan Schmid

Abstract readValidation Study
In one paragraph

Article in BMJ open gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

9 authors.

Hauke HoppmannDepartment of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious diseases, University Hospital Regensburg, Regensburg, Germany.
Florian ZemanCenter for Clinical Studies, University of Regensburg, Regensburg, Germany.
Daniela WittmannDepartment of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious diseases, University Hospital Regensburg, Regensburg, Germany.
Petra StöckertDepartment of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious diseases, University Hospital Regensburg, Regensburg, Germany.
Sophie Schlosser-HupfDepartment of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious diseases, University Hospital Regensburg, Regensburg, Germany.
Alexander MehrlDepartment of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious diseases, University Hospital Regensburg, Regensburg, Germany.
Vlad PavelDepartment of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious diseases, University Hospital Regensburg, Regensburg, Germany.ORCID 0000-0002-9473-3509
Martina MüllerDepartment of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious diseases, University Hospital Regensburg, Regensburg, Germany.
Stephan SchmidDepartment of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious diseases, University Hospital Regensburg, Regensburg, Germany Stephan.Schmid@ukr.de.ORCID 0000-0003-2222-2926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe admission of patients with liver cirrhosis to the intensive care unit (ICU) due to infections is a frequent occurrence, often leading to complications such as hepatic encephalopathy, renal failure and circulatory collapse, significantly elevating mortality risks. Accurate and timely diagnosis and intervention are critical for improving therapeutic outcomes. In this context, medical scoring systems in ICUs are essential for precise diagnosis, severity assessment and appropriate therapeutic strategies. There are no specific models for the prediction of mortality in ICU patients with liver cirrhosis-associated infections. This study aims to develop an improved prognostic scoring system for predicting in-hospital mortality among liver cirrhosis patients with infections in the ICU. This scoring system is designed to enhance the predictive accuracy of in-hospital mortality complementing existing sepsis and liver-specific prognostic models.

methodsA retrospective analysis was conducted in 620 patients with liver cirrhosis, treated for infections in the ICU of a German university hospital during 2017-19. Advanced statistical techniques were employed to develop and validate the LIVERAID (LIVER And Infectious Diseases)-ICU score, a novel scoring system specifically tailored for liver cirrhosis patients in the ICU with infections. The development of the multivariable logistic regression model involved selecting variables with the highest prognostic efficacy, and its predictive performance was assessed using calibration plots and the concordance statistic (c-index) to evaluate both calibration and discrimination.

resultsThe LIVERAID-ICU score integrates Child-Pugh class, serum urea levels and respiratory metrics. It is designed for bedside calculation using basic clinical and laboratory data, with no need for additional tools. In the validation cohort, the LIVERAID-ICU score exhibited enhanced sensitivity and specificity (AUC=0.83) in forecasting in-hospital mortality of patients with liver cirrhosis-associated infections when compared with established scores like Sequential Organ Failure Assessment (SOFA) (p=0.045), Model for End-Stage Liver Disease (MELD) (p=0.097), Child (p<0.001) and CLIF consortium acute-on-chronic liver failure (CLIF-C ACLF) (p<0.001).

conclusionThe newly developed LIVERAID-ICU score represents a robust, streamlined and easy tool for predicting in-hospital mortality in liver cirrhosis patients with infections, surpassing the predictive capabilities of established liver or sepsis scores like SOFA, MELD, Child and CLIF-C ACLF. The reliance of the LIVERAID-ICU score on fundamental clinical and laboratory data facilitates its global application in ICUs, enabling immediate application at the bedside for patients with liver cirrhosis during episodes of suspected or confirmed infections.

Indexed as

Hospital MortalityIntensive Care UnitsLiver CirrhosisSeverity of Illness IndexAgedFemaleGermanyHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesINFECTIOUS DISEASELIVER CIRRHOSISSEPSIS

Identifiers

PMID39384247
PMCPMC11481117

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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.