Herpes Zoster Pain Relief Prediction Model with VZV Genotyping and gE Mutations

A dataset from 52 herpes zoster outpatients in Chongqing integrates viral genotypic features and host immune responses to predict pain outcomes. The data includes VZV genotype distributions, glycoprotein E mutation patterns, and immunological markers like gE antigen and antibody levels. Ying Shi published this study on figshare in April 2026.

Use Cases

• Build predictive models for pain relief outcomes based on integrated viral genotype and host immune data.
• Analyze associations between specific glycoprotein E mutations and immunological markers.
• Study the distribution and clinical impact of varicella-zoster virus genotypes in a regional population.

Strengths

• Includes detailed genotyping results, with Clade 2 (J-type) identified as the predominant genotype (76.1%).
• Contains specific mutation counts, such as an average of 13.46 ± 8.07 mutations and 5.00 ± 3.71 deletions.
• The predictive model derived from the data demonstrated good performance (AUC = 0.87; PR-AUC = 0.74).

Limitations

• Dataset is very small (16.8 KB), suggesting limited scope and sample size.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to the single-site study in Chongqing.

Provenance

Source

figshare

Collection Method

Clinical data and immunological indicators were collected from 52 herpes zoster outpatients; VZV genotyping and gE gene mutation analysis were performed via PCR and sequencing.

Freshness

Last updated 2026-04-29 05:58:16; freshness should be verified.

Geography

Chongqing, China