Construction of a Biobank for a Specialized Cohort of Portal Hypertension

Esophageal and gastric variceal bleeding (EGVB) is a severe complication of portal hypertension (PH), characterized by high bleeding volume, high rebleeding rate, and high mortality. In recent years, endoscopic treatment has significantly improved therapeutic efficacy and patient survival. However, due to substantial individual variations among patients, individualized stratified management is crucial. For special populations with cirrhotic portal hypertension, clear management guidelines and clinical research evidence are lacking. The incidence of non-cirrhotic portal hypertension is increasing year by year; it has complex etiologies, lacks specific symptoms and imaging features, and poses diagnostic challenges. Currently, multi-omics research on portal hypertension is insufficient. The integration of multi-omics technologies, including genomics, radiomics, metabolomics, and gut microbiota, holds promise for a more comprehensive understanding of the pathogenesis. With continuous improvements in multi-modal medical data fusion technology, there is an urgent need to develop clinical decision support systems by combining standardized multi-omics databases with artificial intelligence techniques, thereby enhancing clinical decision-making capabilities and prognostic assessment.

This study aims to expand the established portal hypertension biobank by extending the temporal depth of clinical cohort data and diversifying sample types.