Risk Factors for Bronchopulmonary Dysplasia in Preterm Infants from 28 Shenzhen Hospitals

Shenzhen, China, provided data for 1,336 preterm infants with gestational age under 32 weeks, collected prospectively from 28 hospitals between January 2022 and December 2023. Author Yanping Guo developed and validated a nomogram model for predicting bronchopulmonary dysplasia risk based on six perinatal factors available within the first week of life. The model achieved area under the curve values between 0.783 and 0.812 across training and validation cohorts.

Use Cases

• Predicting bronchopulmonary dysplasia risk based on gestational age and birth weight.
• Validating clinical risk models using internal and external validation cohorts.
• Analyzing the impact of antenatal corticosteroid administration on neonatal outcomes.
• Studying associations between early onset sepsis and bronchopulmonary dysplasia development.

Strengths

• Includes 1,336 patient records from a prospective multicenter study.
• Model validation used three cohorts: training (n=801), internal validation (n=214), and external validation (n=321).
• Nomogram is based on six predictive factors explicitly listed in the description.
• Data was collected from 28 hospitals, suggesting a multi-institutional scope.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data file is unknown, which may limit suitability assessment.
• Data reflects a specific geographic (Shenzhen, China) and temporal (2022-2023) context, which may limit generalizability.

Provenance

Source

figshare, author Yanping Guo.

Collection Method

Prospective data collection from 28 hospitals in Shenzhen.

Time Range

January 2022 to December 2023

Freshness

Last updated 2026-04-30 05:40:43; freshness should be verified.

Geography

Shenzhen, China