Evidence map›Paper›PMID 41401952›Full record

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].

Wen Li, Xue-Fei Zhang, Xiao-Ri He, Tao Wang, Jing-Tao Hu, Wen Li, Qing-Yi Dong, Xiao-Yun Gong, Yong-Hui Yang, Ping-Yang Chen

Abstract readEnglish Abstract
In one paragraph

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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Wen LiDepartment of Neonatology, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Xue-Fei Zhang
Xiao-Ri HeDepartment of Neonatology, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Tao WangDepartment of Neonatology, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Jing-Tao HuDepartment of Neonatology, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Wen Li
Qing-Yi DongDepartment of Neonatology, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Xiao-Yun GongDepartment of Neonatology, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Yong-Hui YangDepartment of Neonatology, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Ping-Yang ChenDepartment of Neonatology, Second Xiangya Hospital, Central South University, Changsha 410011, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Bronchopulmonary DysplasiaFemaleGestational AgeHumansInfant, NewbornInfant, PrematureLogistic ModelsMaleRetrospective StudiesBronchopulmonary dysplasiaPreterm infantRisk prediction model

Identifiers

PMID41401952
PMCPMC12708071

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.