Development of a Nomogram for Predicting Bronchopulmonary Dysplasia in Infants

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.