ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2025
[Development of dynamic multi-time-point clinical prediction models for bronchopulmonary dysplasia in preterm infants with gestational age < 32 weeks].
Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesTo develop dynamic prediction models based on multiple postnatal time points to support early diagnosis and individualized intervention for bronchopulmonary dysplasia (BPD) in preterm infants with gestational age < 32 weeks.
methodsClinical data of 472 preterm infants with gestational age <32 weeks admitted to the Second Xiangya Hospital of Central South University between January 2016 and November 2020 were retrospectively analyzed. Multivariable logistic regression was applied to develop five independent prediction models at postnatal days 1, 7, 14, 21, and 28. The performance of the models was assessed using the area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow test.
resultsBaseline characteristics such as gestational age and birth weight differed significantly between the BPD group (
conclusionsDynamic postnatal prediction models incorporating indicators spanning perinatal factors, respiratory support, nutritional management, and therapeutic interventions demonstrate high predictive performance and facilitate dynamic risk assessment for BPD in preterm infants with gestational age < 32 weeks.
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