Evidence map›Paper›PMID 34092979›Full record

ArticleWorld journal of gastroenterology2021

Development and validation of a prognostic model for patients with hepatorenal syndrome: A retrospective cohort study.

Xin-Yu Sheng, Fei-Yan Lin, Jian Wu, Hong-Cui Cao

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xin-Yu ShengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.
Fei-Yan LinState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.
Jian WuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.
Hong-Cui CaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.

Funding

Analysis: Emotion-Based Alcohol Consumption with fMRI and Experimental ParadigmK01AA020102 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI CYDERS, MELISSA A · 2011 to 2015
$770k
NIAAA NIH HHS K01 AA020102
6 · The paper itself

Abstract

backgroundHepatorenal syndrome (HRS) is a severe complication of cirrhosis with high mortality, which necessitates accurate clinical decision. However, studies on prognostic factors and scoring systems to predict overall survival of HRS are not enough. Meanwhile, a multicenter cohort study with a long span of time could be more convincing.

aimTo develop a novel and effective prognostic model for patients with HRS and clarify new prognostic factors.

methodsWe retrospectively enrolled 1667 patients from four hospitals, and 371 eligible patients were finally analyzed to develop and validate a novel prognostic model for patients with HRS. Characteristics were compared between survivors and non-survivors, and potential prognostic factors were selected according to the impact on 28-d mortality. Accuracy in predicting 28-d mortality was compared between the novel and other scoring systems, including Model for End-Stage Liver Disease (MELD), Chronic Liver Failure-Sequential Organ Failure Assessment (CLIF-SOFA), and Chinese Group on the Study of Severe Hepatitis B-Acute-on-Chronic Liver Failure (COSSH-ACLF).

resultsFive prognostic factors, comprised of gender, international normalized ratio, mean corpuscular hemoglobin concentration, neutrophil percentage, and stage, were integrated into a new score, GIMNS; stage is a binary variable defined by the number of failed organs. GIMNS was positively correlated with MELD, CLIF-SOFA, and COSSH-ACLF. Additionally, it had better accuracy [area under the receiver operating characteristic curve (AUROC): 0.830] than MELD (AUROC: 0.759), CLIF-SOFA (AUROC: 0.767), and COSSH-ACLF (AUROC: 0.759) in the derivation cohort (

conclusionWe have developed a new scoring system, GIMNS, to predict 28-d mortality of HRS patients. Mean corpuscular hemoglobin concentration and stage were first proposed and found to be related to the mortality of HRS. Additionally, the GIMNS score showed better accuracy than MELD and CLIF-SOFA, and the AUROC was higher than that of COSSH-ACLF.

Indexed as

End Stage Liver DiseaseHepatorenal SyndromeCohort StudiesHumansPrognosisRetrospective StudiesSeverity of Illness IndexCohort studyHepatorenal syndromeMean corpuscular hemoglobin concentrationMortalityPrognostic factorScoring system

Identifiers

PMID34092979
PMCPMC8160623

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