ArticleMetabolic brain disease2019
Establishment and evaluation of a model for predicting 3-month mortality in Chinese patients with hepatic encephalopathy.
Article in Metabolic brain disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Risk prediction models for hepatic encephalopathy in patients with liver cirrhosis: a systematic review and meta-analysis.BMC gastroenterology · 2026Pooled it
- Using machine learning methods to predict 28-day mortality in patients with hepatic encephalopathy.BMC gastroenterology · 2023Trial
- Radiomics-based classification models for HBV-related cirrhotic patients with covert hepatic encephalopathy.Brain and behavior · 2021Article
- Association of serum albumin level with incidence and mortality of overt hepatic encephalopathy in cirrhosis during hospitalization.Therapeutic advances in gastroenterology · 2019Article
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7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatic encephalopathy (HE) is a serious complication of liver disease. To establish a model for predicting 3-month mortality in patients with HE in China. This retrospective study included 609 patients with HE admitted to the Peoples' Hospital, Liaocheng City, China (August 2006 to January 2016). Patients were allocated to a modeling (n = 409) or validation (n = 200) group. Demographic/clinical characteristics, laboratory test results, Model for End Stage Liver Disease (MELD) score and Child-Turcotte-Pugh (CTP) score were extracted from medical records. A model for predicting death within 3 months after admission was established using logistic regression analysis (modeling group). Model validity (validation group) was assessed using receiver operating characteristic (ROC) curve analysis. 270/409(66.0%) patients died in the modeling group and 142/203(70.0%) died in the validation group. Compared with survivors, patients who died had more severe HE, and higher MELD score, CTP score, incidence of complications including hepatorenal syndrome (HRS) and upper gastrointestinal bleeding, and values for laboratory parameters including red blood cell count(RBC) and total bilirubin(TBIL)(P < 0.05). Regression analysis revealed RBC, TBIL, HE stage, HRS and upper gastrointestinal bleeding as independent factors associated with death (P < 0.05). The area under the ROC curve (AUC) for the model was 0.931.The model had a higher Youden index than MELD or CTP scores and predicted death in the validation group with a sensitivity of 83.1% and specificity of 93.4%. The established model has superior performance to MELD and CTP scores for predicting mortality in patients with HE.
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