Objective:To explore the risk factors for bronchopulmonary dysplasia(BPD)in preterm infants with respiratory distress syndrome(NRDS),and to construct a nomogram model for the risk of BPD.Methods:NRDS preterm infants admitted to the neonatology department of our unit were selected as the study subjects,and were divided into the NRDS-only group and the NRDS-combined BPD group according to whether they were combined with BPD or not.Univariate analysis was used to identify the risk factors of BPD in premature infants with NRDS,and then multivariate and LASSO logistic regression analysis were included to further screen out variables for constructing a nomogram model.The model was internally validated and the predictive value of the model was assessed by receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA).Results:Small for gestational age(OR=0.705,95％CI:0.497 to 0.986),low birth weight(OR=0.997,95％CI:0.994 to 0.999),hospital-acquired pneumonia(OR=2.337,95％CI:1.082 to 5.089),and duration of invasive mechanical ventilation greater than 7 days(OR=2.760,95％CI:1.084 to 7.385),and maximum inhaled oxygen concentration(OR=1.087,95％CI:1.018 to 1.172)were independent risk factors for the development of BPD in neonates with NRDS,and a nomogram model for the risk of BPD was established based on these five predictors.The calibration curve study revealed good accuracy and consistency between the model's actual and anticipated values.The area under the curve of the nomogram model was 0.852,with a sensitivity of 82.5％,a specificity of 73.9％.Conclusion:Thenomogram model developed in this study can effectively assess the risk of BPD in preterm infants with NRDS,which plays a important role in improving the prognosis of preterm infants at high risk of BPD.
respiratory distress syndromebronchopulmonary dysplasiarisk factorsprediction model
NETL
NSTL
万方数据
