Arterial Flows in Bronchopulmonary Dysplasia Prediction

The paper presents Bronchopulmonary Dysplasia, BPD, prediction for extremely premature infants after their first week of life using LR (Logit Regression). Presented models give accuracy up to 84.6% using only three independent variables and 81.7% with two of them. That novelty was possible to achieve thanks to unique use of arterial flows measurements, which are not a common clinical practice. That original data was collected thanks to the Neonatal Intensive Care Unit of The Department of Pediatrics at Jagiellonian University Medical College. The main pulmonary artery (MPA) and patent ductus arteriosus (PDA) flows were considered as predictors. Beyond classic statistic significance analysis and LR forecast paper presents some other results and discussion, which give an outlook on possible repeatability of results and its quality on some other’s patients data set.