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Dataset Information

Transparent and dynamic network-based risk assessment for development of hepatic encephalopathy.


ABSTRACT:

Background

Hepatic encephalopathy is a debilitating and resource-intensive complication of cirrhosis, with high prevalence, frequent hospitalizations, and poor prognosis. Precise and dynamic identification of at-risk individuals remains a major clinical challenge.

Methods

Combining expert knowledge with data-driven methodologies, we proposed a network-based risk assessment model by analyzing the inter-connections between cirrhotic complications and using routinely available blood test results. The model was developed (n = 2789) and validated (n = 698) in multi-etiology cirrhosis cohorts.

Results

Here we show hepatic encephalopathy as a pivotal nexus in the cirrhotic complication cascade. The presence of ascites (adjusted relative risk: 4.8), gastroesophageal varices (

SUBMITTER: Wang Z 

PROVIDER: S-EPMC12820205 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature