HIV Patient Coinfection Detection via Metagenomic Sequencing

56 hospitalized HIV/AIDS patients with coinfections were analyzed from March 2022 to October 2024. The dataset compares the diagnostic performance of metagenomic next-generation sequencing (mNGS) against conventional testing methods (CTM). It was created by Xiaodi Li and shared via figshare.

Use Cases

• Compare mNGS and CTM detection_rates for Talaromyces marneffei using the reported 100% vs. 45.5% performance metrics.
• Analyze the prevalence of mixed_infections identified by mNGS (82.1% of patients) versus CTM (5.4%).
• Model the correlation between therapy_adjustments guided by mNGS (74.1% of cases) and reported clinical_improvement outcomes (90%).
• Study patient_cohort characteristics and infection_types across the 56 enrolled individuals.

Strengths

• Provides direct comparison of two diagnostic methods with specific performance rates (e.g., 84.4% vs. 28.1% overall detection).
• Includes detailed outcome metrics, such as therapy adjustments and clinical improvement rates for 40 patients.
• Covers a defined patient cohort of 56 individuals over a 2.5-year period.

Limitations

• Small sample size of 56 patients limits statistical power and generalizability.
• Single-center retrospective study design from one hospital in China may introduce geographic and institutional bias.
• Dataset is very small (15.4 KB), indicating limited raw data or aggregated summary statistics rather than patient-level records.

Provenance

Source

Retrospective study conducted at the Third Affiliated Hospital of Sun Yat-sen University.

Collection Method

Clinical data analysis from 56 hospitalized patients, comparing pathogen detection via mNGS and CTM.

Time Range

March 2022 to October 2024.

Freshness

Data covers events up to October 2024 and was last updated on the platform in April 2026.

Geography

China (likely Guangdong Province, based on hospital location).