Pediatric Asthma Treatment Response Data for 470 Children Receiving Immunotherapy

Clinical data for 470 children receiving house dust mite subcutaneous immunotherapy (HDM-SCIT), categorized as high, middle, or low responders. The dataset was used to develop ordinal regression models predicting treatment response based on baseline characteristics and early changes in inhaled corticosteroid use. It was authored by figshare admin karger and last updated on May 14, 2026.

Use Cases

• Predicting high versus non-high treatment response based on baseline clinical variables.
• Modeling the non-linear association between early corticosteroid reduction and high-response probability.
• Comparing the performance of baseline-only versus extended prediction models for immunotherapy outcomes.
• Stratifying pediatric patients into high, middle, and low responder categories for clinical trial design.

Strengths

• Contains data for 470 pediatric patients with clear outcome stratification (159 high, 151 middle, 160 low responders).
• Model performance metrics are provided, including AUC improvements from 0.738 to 0.878 for high vs. non-high response.
• Analysis identifies a specific inflection region (-80 to -50 μg/day) for early corticosteroid change associated with high response.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic or temporal bias inherent to the source study on figshare.

Provenance

Source

figshare admin karger

Collection Method

Likely collected as part of a clinical study on house dust mite subcutaneous immunotherapy.

Freshness

Last updated 2026-05-14 05:55:30; freshness should be verified.