Year: 2026
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: Develop and validate predictive models for pulmonary hypertension (PH) in high-risk infants. STUDY DESIGN: We trained logistic regression (LR) and long short-term memory (LSTM) models using a multicenter cohort study of infants 22-28 weeks gestational age discharged from neonatal intensive care units from 2008 to 2020, at two timepoints: 33 weeks post-menstrual age (PMA) for infants receiving mechanical ventilation at that time, and 36 weeks PMA for infants receiving any respiratory support at that time. RESULTS: At 33 weeks PMA (N = 2849), top LR model predictors were current fraction of inspired oxygen and birth weight. At 36 weeks (N = 20,173), top LR model predictors were current respiratory support and birth weight. Both LR and LSTM models had strong performance in the temporal validation cohort (infants discharged 2021-2022) for both timepoints. CONCLUSION: Using available clinical variables, we developed and validated predictive models that may identify infants most at risk for PH at two timepoints.
Source: Journal of Perinatology
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,790
Awards: G5913509404, Safety of Sildenafil in Premature Infants with Severe Bronchopulmonary Dysplasia, G8157077573, G9000184609, Unified Program for Therapeutics in Children, Therapeutic Strategies for the Management of Bronchopulmonary Dysplasia-Associated Pulmonary Hypertension, Dose Optimization for Novel Drugs for Infants with Hypoxic-Ischemic Encephalopathy, Sepsis Physiomarkers for Appropriate Risk Knowledge of monitored patients in the ICU (SPARK-ICU)
OpenAlex ID: W7129065030