Evidence map›Paper›PMID 40105072›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2025

[Predictive factors for hemodynamically significant patent ductus arteriosus in preterm infants and the construction of a nomogram prediction model].

Jun Mu, Shu-Shu Li, Ai-Ling Su, Shu-Ping Han, Jin-Gai Zhu

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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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jun MuDepartment of Neonatology, Women's Hospital of Nanjing Medical University/Nanjing Women and Children's Healthcare Hospital, Nanjing 210004, China.
Shu-Shu LiDepartment of Neonatology, Women's Hospital of Nanjing Medical University/Nanjing Women and Children's Healthcare Hospital, Nanjing 210004, China.
Ai-Ling SuDepartment of Neonatology, Women's Hospital of Nanjing Medical University/Nanjing Women and Children's Healthcare Hospital, Nanjing 210004, China.
Shu-Ping HanDepartment of Neonatology, Women's Hospital of Nanjing Medical University/Nanjing Women and Children's Healthcare Hospital, Nanjing 210004, China.
Jin-Gai ZhuDepartment of Neonatology, Women's Hospital of Nanjing Medical University/Nanjing Women and Children's Healthcare Hospital, Nanjing 210004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the predictive factors for hemodynamically significant patent ductus arteriosus (hsPDA) in preterm infants and to construct a nomogram prediction model for hsPDA occurrence in this population.

methodsA retrospective analysis was conducted on the clinical data of preterm infants with gestational age <32 weeks diagnosed with patent ductus arteriosus (PDA) who were delivered at Nanjing Women and Children's Healthcare Hospital from January 2020 to December 2022. The subjects were divided into an hsPDA group (52 cases) and a non-hsPDA group (176 cases) based on the presence of hsPDA. Univariate analysis and multivariate logistic regression analysis were performed to screen predictive variables regarding the general information of the infants at birth, maternal pregnancy and delivery conditions, and relevant indicators during hospitalization. A nomogram prediction model for hsPDA occurrence was constructed using R software in preterm infants. Internal validation was performed using the Bootstrap method. Finally, the predictive model was evaluated for calibration, discrimination ability, and clinical utility.

resultsMultivariate regression analysis showed that the ratio of the left atrium to aorta diameter (LA/AO), mode of delivery (vaginal), and duration of mechanical ventilation were independent predictive factors for hsPDA in preterm infants (

conclusionsThe nomogram prediction model, constructed using five variables (LA/AO ratio, vaginal delivery, duration of mechanical ventilation, 5-minute Apgar score, and the presence of neonatal respiratory distress syndrome requiring surfactant therapy), has reference significance for predicting the occurrence of hsPDA in preterm infants and provides valuable guidance for the early clinical identification of hsPDA.

Indexed as

Ductus Arteriosus, PatentHemodynamicsNomogramsFemaleHumansInfant, NewbornInfant, PrematureLogistic ModelsMalePregnancyRetrospective StudiesHemodynamically significant patent ductus arteriosusNomogram modelPredictive factorPreterm infant

Identifiers

PMID40105072
PMCPMC11928045

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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 OpenQuestion graph.