Table 1_Risk factors for ICU admission in hospitalized children with respiratory syncytial

A retrospective study of 5,814 hospitalized children with PCR-confirmed RSV infection between July 2022 and April 2025, analyzing risk factors for ICU admission. The data, authored by Chunyun Fu, includes epidemiological, clinical, laboratory, and imaging data from a cohort where 12.2% required ICU care. Multivariable logistic regression identified respiratory complications, bilateral consolidation, and prolonged fever duration as key independent predictors.

Use Cases

• Predicting ICU admission risk in pediatric RSV patients based on clinical and imaging features mentioned in the description.
• Identifying early warning indicators for severe RSV infection using factors like respiratory complications and fever duration.
• Analyzing the association between laboratory findings (e.g., procalcitonin, creatine kinase-MB) and disease severity in hospitalized children.
• Optimizing critical care triage protocols by modeling the independent risk factors identified in the regression analysis.

Strengths

• Based on a large cohort of 5,814 hospitalized pediatric patients.
• Employs multivariable logistic regression to identify statistically significant predictors (e.g., OR=5.20 for respiratory complications).
• Includes detailed clinical characteristics such as manifestation rates (e.g., cough 91.6%) and imaging findings (e.g., bronchial wall thickening 87.3%).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying analytical dataset is unknown, which may limit suitability assessment.
• The 48.0 KB file size suggests the dataset is a summary or document, not the full raw patient-level data.

Provenance

Source

figshare

Collection Method

Retrospective study collecting epidemiological, clinical, laboratory, and imaging data from hospitalized children with PCR-confirmed RSV infection.

Time Range

July 2022 to April 2025

Freshness

Last updated 2026-05-21 05:34:03; freshness should be verified.