Pediatric Macrolide-Resistant Pneumonia: Predictors for Antibiotic Switching

A retrospective cohort of 150 children with Mycoplasma pneumoniae pneumonia recruited from two hospitals in China between January 2023 and October 2025. The dataset, authored by Mengzhen Zhang, includes clinical and laboratory parameters analyzed to identify predictors for switching from azithromycin to doxycycline therapy.

Use Cases

• Identify predictors for antibiotic switching based on age, CRP levels, and hospital stay duration mentioned in the description
• Analyze associations between macrolide resistance gene status and clinical outcomes like disease severity and pleural effusion
• Build logistic regression models to assess the predictive performance of biomarkers for clinical decision-making

Strengths

• Dataset contains records for 150 pediatric patients, providing a specific clinical cohort.
• Analysis is based on data from a defined time range (January 2023 to October 2025).
• Multivariate logistic regression identified three independent predictors (age, CRP, hospital stay) with statistical significance.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Data is from a specific geographic area (Nanchong, China), which may limit generalizability.
• The dataset is very small at 13.8 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Retrospective cohort study from two clinical centers.

Time Range

January 2023 to October 2025

Freshness

Last updated 2026-04-30 05:24:24; freshness should be verified.

Geography

Nanchong area, China (Affiliated Hospital of North Sichuan Medical College and People's Hospital of Nanbu County)