Fungal Pathogen Spectrum Across Clinical Specimens from a Wuhan Hospital, 2022-2024

A retrospective analysis of 11,161 metagenomic next-generation sequencing reports from clinical specimens collected at Renmin Hospital of Wuhan University between March 2022 and August 2024. The study characterizes fungal detection rates across specimen types and analyzes patient demographic risk factors. The dataset was authored by Shuo Zhang and shared under a CC-BY-4.0 license.

Use Cases

• Compare fungal detection rates across different clinical specimen types based on the reported percentages.
• Investigate demographic risk factors for fungal detection based on the reported sex and age associations.
• Study patterns of bacterial-fungal co-detection based on the reported 68.28% co-detection rate.
• Analyze the prevalence of polyfungal infections based on the reported 15.63% rate.

Strengths

• Analysis is based on 11,161 mNGS reports, providing a substantial sample size.
• Includes detailed detection rates for six major specimen types (e.g., 36.85% in bronchoalveolar lavage fluid).
• Provides statistical analysis of demographic risk factors, including adjusted odds ratios for age and sex.

Limitations

• The underlying data tables and column definitions are not provided, only a summary report in PDF format.
• The dataset is limited to a single hospital in Wuhan, China, which may limit generalizability.
• The row count for the primary data is unknown, making suitability for large-scale ML tasks unclear.

Provenance

Source

Renmin Hospital of Wuhan University.

Collection Method

Retrospective analysis of clinical mNGS reports.

Time Range

March 2022 to August 2024.

Freshness

Data covers March 2022 to August 2024; metadata was last updated on 2026-06-01.

Geography

Wuhan, China.