ArticleChildren (Basel, Switzerland)2021
Prediction Model for Bronchopulmonary Dysplasia in Preterm Newborns.
Article in Children (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Improving early risk stratification for bronchopulmonary Dysplasia in preterm infants using machine learning: development and external validation.Annals of medicine · 2026Article
- Machine learning-based prognostic modeling of early clinical outcomes in very low birth weight infants: insights from a nationwide cohort on delivery room resuscitation, prematurity-related complications, and mortality.BMC medical informatics and decision making · 2026Article
- Development and internal validation of a clinical nomogram for predicting bronchopulmonary dysplasia in preterm infants.Experimental and therapeutic medicine · 2026Article
- Prevalence, Severity Patterns and Risk Factors of Bronchopulmonary Dysplasia in Preterm Infants Younger than 32 Weeks of Gestation in a Tertiary Centre in Oman.Sultan Qaboos University medical journal · 2024Article
- Transfusion strategies for neonates: current perspectives.Annals of medicine and surgery (2012) · 2024Review
- Combined gestational age and serum fucose for early prediction of risk for bronchopulmonary dysplasia in premature infants.BMC pediatrics · 2024Article
- Predictive modeling of bronchopulmonary dysplasia in premature infants: the impact of new diagnostic standards.Frontiers in pediatrics · 2024Article
- A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities.Frontiers in pediatrics · 2024Review
- Development and Validation of a Risk Scoring Tool for Bronchopulmonary Dysplasia in Preterm Infants Based on a Systematic Review and Meta-Analysis.Healthcare (Basel, Switzerland) · 2023Article
- Association between red blood cell transfusion and bronchopulmonary dysplasia: a systematic review and meta-analysis.Frontiers in pediatrics · 2023Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop a multifactorial model that allows the prediction of bronchopulmonary dysplasia (BPD) in preterm newborns. MATERIALS AND
methodsA single-center retrospective study of infants born below 32 + 0 weeks gestational age. We created a receiver operating characteristic curve to assess the multifactorial BPD risk and calculate the BPD risk accuracy using the area under the curve (AUC). BPD risk was categorized using a multifactorial predictive model based on the weight of the evidence.
resultsOf the 278 analyzed preterm newborns, 127 (46%) developed BPD. The significant risk factors for BPD in the multivariate analysis were gestational age, number of red blood cell concentrate transfusions, number of surfactant administrations, and hemodynamically significant patent ductus arteriosus. The combination of these factors determined the risk of developing BPD, with an AUC value of 0.932. A multifactorial predictive model based on these factors, weighted by their odds ratios, identified four categories of newborns with mean BPD risks of 9%, 59%, 82%, and 100%.
conclusionA multifactorial model based on easily available clinical factors can predict BPD risk in preterm newborns and inform potential preventive measures.
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