Metagenomic Sequencing Diagnostic Performance in Pulmonary Infections, 2023-2025

Shandong Provincial Hospital data from 136 patients with suspected pulmonary infections admitted between June 2023 and April 2025. The dataset compares metagenomic next-generation sequencing (mNGS) against conventional microbiological testing for pathogen detection. It was authored by Tian Li and shared under a CC-BY-4.0 license.

Use Cases

• Compare pathogen detection rates between mNGS and conventional testing based on the reported 77.2% vs. 50.0% detection rate.
• Analyze the spectrum of detected microorganisms based on the reported counts of bacterial, fungal, and mycobacterial species.
• Investigate mixed infection patterns in immunocompromised patients based on the reported 35.1% incidence.
• Study the impact of diagnostic results on antimicrobial therapy adjustments based on the reported 56.8% adjustment rate in immunocompromised patients.

Strengths

• Includes data from 136 patients, providing a substantive clinical cohort.
• Covers a defined time range from June 2023 to April 2025.
• Reports specific comparative performance metrics, such as a 77.2% overall pathogen detection rate for mNGS.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single hospital in Shandong, China, which may limit generalizability.

Provenance

Source

Department of Respiratory Medicine, Shandong Provincial Hospital.

Collection Method

Retrospective study using bronchoalveolar lavage fluid (BALF) samples subjected to mNGS and conventional testing.

Time Range

June 2023 to April 2025

Freshness

Last updated 2026-04-22 05:45:55; freshness should be verified.

Geography

Shandong, China