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. 2022 Aug;181(8):3005-3011.
doi: 10.1007/s00431-022-04506-8. Epub 2022 May 26.

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

Wenwen Qu  1   2 , Yanhua Shen  1   3 , Yujie Qi  1   3 , Min Jiang  1   3 , Xu Zheng  1   3 , Jinjing Zhang  1   3 , Dan Wu  1   3 , Wenwen He  1   3 , Wenjing Geng  1   3 , Mingyan Hei  4   5   6
Affiliations

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

Wenwen Qu et al. Eur J Pediatr. 2022 Aug.

Abstract

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.

Conclusion: It was concluded that the TRIPS and MINT might be more suitable for the prediction of mortality in full-term, out-born neonates in the neonatal intensive care unit (NICU) within the 1st week after transportation.

What is known: • Neonatal transport scores can assess not only the mortality risk during transportation but also the mortality risk of critically ill newborns after admission to the NICU. • The effectiveness of neonatal transport scores in predicting mortality risk is different.

What is new: • Our data indicate that the diagnostic efficacy of the MINT, TRIPS, and NCIS in the prediction of full-term infant mortality was high. • The TRIPS and MINT scores had better clinical utility and could be used to predict mortality within the 1st week after transportation in full-term out-born neonates.

Keywords: Full term; Infant, newborn; Mortality risk; Transport scoring.

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References

    1. Leader J, Bajwa A, Lanes A, Hua X, Rennicks White R, Rybak N, Walker M (2018) The effect of very advanced maternal age on maternal and neonatal outcomes: a systematic review. J Obstet Gynaecol Can 40(9):1–11. https://doi.org/10.1016/j.jogc.2017.10.027 - DOI
    1. Zhao W, Huang AQ, Yan S, Di JL, Hu HQ, Ma WX, Xue YP (2018) Risk and outcome analysis of 8490 cases of comprehensive two-child policy maternal in large and medium-sized cities. Modern Prevent Med 45:4286–4288
    1. Whitham M, Dudley DJ (2020) Delivering neonates at high risk in the right place: back to the future again. JAMA Pediatr 174(4):e1–2. https://jamanetwork.com/journals/jamapediatrics/fullarticle/10.1001/jama... . Accessed 21 Mar 2022
    1. Campbell DM, Dadiz R (2016) Simulation in neonatal transport medicine. Semin Perinatol 40(7):430–437. https://doi.org/10.1053/j.semperi.2016.08.003 - DOI - PubMed
    1. Akula VP, Hedli LC, Van Meurs K, Gould JB, Peiyi K, Lee HC (2020) Neonatal transport in California: findings from a qualitative investigation. J Perinatol 40(3):394–402. https://doi.org/10.1038/s41372-019-0409-7 - DOI - PubMed

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