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

A dataset of 1,336 preterm infants with gestational age under 32 weeks, collected prospectively from 28 hospitals in Shenzhen, China, between January 2022 and December 2023. The data was used to develop and validate a nomogram model for predicting the risk of bronchopulmonary dysplasia based on six perinatal and postnatal factors available within the first week of life. The model achieved area under the curve (AUC) scores between 0.783 and 0.812 across training and validation cohorts.

Use Cases

• Developing a risk stratification model for bronchopulmonary dysplasia based on gestational age and birth weight.
• Validating clinical prediction tools using external cohorts from different hospitals.
• Analyzing the association between invasive mechanical ventilation in the first week and subsequent BPD diagnosis.
• Investigating the impact of antenatal corticosteroid administration on neonatal outcomes.

Strengths

• Includes 1,336 patient records from a prospective multicenter study.
• Model was validated on both internal (214 patients) and external (321 patients) cohorts.
• The predictive model is based on six clinically available factors, enhancing practical utility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data tables is unknown, which may limit suitability assessment.
• Data is geographically limited to hospitals in Shenzhen, China.

Provenance

Source

Yanping Guo, via figshare.

Collection Method

Prospective data collection from 28 hospital neonatal intensive care units (NICUs).

Time Range

January 2022 to December 2023

Freshness

Last updated 2026-04-30 05:40:44; freshness should be verified.

Geography

28 hospitals in Shenzhen, China