Y-HAL Model: Clinical Data for Liver Injury in Young Hepatitis B Patients

A 2026 multicenter cross-sectional study of 423 treatment-naïve chronic hepatitis B patients aged ≤30 years with persistently normal ALT who underwent liver biopsy. The research, authored by Pei-pei Wang, developed and validated the Y-HAL model to predict significant histological injury, finding such injury in approximately 48% of the cohort.

Use Cases

• Developing non-invasive diagnostic models based on predictors like anti-HBc, LSM, and AST mentioned in the description
• Validating clinical risk stratification pathways for young CHB patients based on the described three-tier system
• Analyzing the relationship between normal ALT levels and occult liver injury based on biopsy-confirmed histological data

Strengths

• Multicenter study design involving 423 patient records
• Model validation showing an AUC of 0.918, outperforming 12 existing models
• Clear definition of significant injury (METAVIR necroinflammation ≥G2 and/or fibrosis ≥S2)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is contained in a 316.4 KB DOCX file, suggesting limited raw data scope

Provenance

Source

figshare, authored by Pei-pei Wang

Collection Method

Multicenter cross-sectional study with liver biopsy

Freshness

Last updated 2026-06-02 05:42:18; freshness should be verified