Prediction for Bronchopulmonary Dysplasia

Kai Mu

Status: Unknown

Conditions: Bronchopulmonary Dysplasia

Treatments: Other: occurrence of bronchopulmonary dysplasia

Study type: Observational

Funder types: Other

Identifiers

NCT05181319

QFS-2018-1201

Details and patient eligibility

About

In this Multi-center study performed from January 2018, we reviewed data on infants whose gestational ages were below 36 weeks. we collected data containing maternal diseases and neonatal clinical features. LASSO regression was used to select variables for the risk model. Then, we used multivariable logistic regression to build the prediction model incorporating these selected features. Discrimination was assessed by the C-index, and and calibration of the model was assessed by and calibration curve and the Hosmer-Lemeshow test.

Enrollment: 5,000 estimated patients

Sex: All

Ages: Under 1 day old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients were recruited from Multi-center Collaborative Group Hospital Neonatal Intensive Care Unit (NICU) Department.
• Patients with gestational age <36 weeks
• admitted to the NICU within 24 h after birth
• the length of stay was more than 1 week

Exclusion criteria

• patients with inherited disease, metabolic disorders and multiple malformations.

Trial design

5,000 participants in 2 patient groups

bronchopulmonary dysplasia group

Description:

infants diagnosed with bronchopulmonary dysplasia

Treatment:

Other: occurrence of bronchopulmonary dysplasia

no bronchopulmonary dysplasia

Description:

infants not diagnosed with bronchopulmonary dysplasia

Treatment:

Other: occurrence of bronchopulmonary dysplasia