Journal article
Predictive model of ibuprofen treatment failure in very preterm infants with patent ductus arteriosus using machine learning techniques
Journal of perinatology, Vol.45(7), pp.944-950
07/2025
DOI: 10.1038/s41372-025-02346-6
PMID: 40629049
Abstract
The approach to patent ductus arteriosus (PDA) remains controversial. We aim to develop an algorithm to predict ibuprofen treatment failure (TF) using machine learning (ML) techniques.
Secondary analysis of a trial of very preterm infants receiving intravenous ibuprofen to treat PDA. A predictive model on TF was developed with ML. The impact of TF on outcomes was analyzed.
One hundred forty-six infants were included. ML techniques showed that a logistic regression model predicted TF with an AUC 0.65. A multiple regression model found that bronchopulmonary dysplasia (BPD) was associated with TF, p = 0.03. Other neonatal outcomes did not differ between the study groups.
It is feasible to build a predictive model of ibuprofen TF with ML that could assist clinicians during the PDA treatment decision-making process. The identification of responders prior to intervention would mitigate adverse effects in non-responders, providing them with an alternative approach.
Details
- Title: Subtitle
- Predictive model of ibuprofen treatment failure in very preterm infants with patent ductus arteriosus using machine learning techniques
- Creators
- María Carmen Bravo - Hospital Universitario La PazEmilio Parrado-Hernández - Universidad Carlos III de MadridPatrick J McNamara - University of IowaAdelina Pellicer - Hospital Universitario La Paz
- Resource Type
- Journal article
- Publication Details
- Journal of perinatology, Vol.45(7), pp.944-950
- DOI
- 10.1038/s41372-025-02346-6
- PMID
- 40629049
- NLM abbreviation
- J Perinatol
- ISSN
- 1476-5543
- eISSN
- 1476-5543
- Publisher
- SPRINGERNATURE
- Grant note
- PI22/00567 / Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) AP163272016 / Fundación Mutua Madrileña (Mutua Madrileña Foundation) PI16/0644 / Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III)
- Language
- English
- Electronic publication date
- 07/08/2025
- Date published
- 07/2025
- Academic Unit
- Stead Family Department of Pediatrics; Neonatology
- Record Identifier
- 9984845453202771
Metrics
4 Record Views