Comparison of four neonatal transport scoring methods in the prediction of mortality risk in full-term, out-born infants: a single-center retrospective cohort study

Neonatal transport scoring systems can assess severity before and after transport, improve transport efficiency, and predict the occurrence of critical illness. The aim of this study was to compare four neonatal transport scoring methods to predict mortality risk and clinical utility within the first week after transportation. This was a single-center retrospective cohort study. All patients were full-term, out-born neonates. Each patient was assessed by the Transport Risk Index of Physiologic Stability (TRIPS), Mortality Index for Neonatal Transportation (MINT), Transport-Related Mortality Score (TREMS), and Neonatal Critical Illness Score (NCIS) scoring methods. Receiver operating characteristic (ROC) curves and decision curve analysis (DCA) for each method were compared for their utility in predicting mortality risk within the 1st week after admission. In total, 368 full-term infants were included (368/770, 47.8% of all transported infants). Within the 1st week after admission, five infants (1.36%, 5/368) died while receiving advanced life support and full treatment, and 24 infants (6.52%, 24/368) died soon after they were discharged against medical advice. The areas under the curve (AUCs) for the MINT, TRIPS, TREMS, and NCIS for the prediction of mortality were 0.822, 0.827, 0.643, and 0.731, respectively (all p < 0.05). However, the clinical net benefits for the MINT and TRIPS were far superior than those for the NCIS and TREMS.