Assessing the Predictive Value of TRIPS in Newborns
https://doi.org/10.21292/2078-5658-2021-18-4-73-79
Abstract
The objective: to determine the predictive value of TRIPS at the stage of pre-transport preparation in relation to treatment outcomes of newborns.
Subjects: The cohort study included data from 604 visits of the team of the intensive case and consultation center. The TRIPS score was assessed, and the outcomes of the hospital phase of treatment were studied. The AUC ROC curve of the TRIPS score was calculated in relation to the binary outcomes of hospital treatment. The correlation analysis of the quantitative data was performed by Spearman's criterion.
Results. AUC was greater than 0.8 only for the risk of death (AUC 0.827 (0.764-0.891)), the formation of severe IVH (AUC 0.831 (0.786-0.877)) and the development of occlusive hydrocephalus (AUC 0.839 (0.764-0.915)). For other binary outcomes, the score shows AUC below 0.8. A weak but significant correlation was found between the TRIPS score and the duration of intensive care (r = 0.478,p < 0.0001).
Conclusion: TRIPS demonstrated an acceptable level of accuracy (AUC>0.8) in predicting hospital mortality, severe IVH, and the formation of occlusive hydrocephalus. A weak but significant correlation was found with the quantitative outcomes.
About the Authors
R. F. Mukhametshin
Regional Pediatric Clinical Hospital; Ural State Medical University
Russian Federation
Russian Federation
Mukhametshin Rustam F., Candidate of Medical Sciences, Associate Professor
of Anesthesiology, Intensive Care and Toxicology Department
3, Repina St., Yekaterinburg, 620028
N. S. Davydova
Ural State Medical University
Russian Federation
Russian Federation
Davydova Nadezhda S., Doctor of Medical Sciences, Professor of Anesthesiology, Intensive Care and Toxicology Department
3, Repina St., Yekaterinburg, 620028
S. V. Kinzhalova
Ural State Medical University; Ural Research Institute of Maternity and Childhood
Russian Federation
Russian Federation
Kinzhalova Svetlana V., Doctor o f Medical Sciences, Associate Professor
of Anesthesiology, Intensive Care and Toxicology Department
3, Repina St., Yekaterinburg, 620028
References
1. Aleksandrovich Yu. S., Gordeev V. I. Otsenochnye i prognosticheskie shkaly v meditsine kriticheskikh sostoyaniy. [Assessment and prognostic scales in critical medicine]. Izd-vo Sotis Publ., 2007, 140 p. ISBN 5-85503-028-8.
2. Pochatkov V. A., Nastausheva T. L., Shvyrev A. P. et al. Comparative assessment of the state severity of newborns during transport to an intensive care unit. Rossiyskiy Pediatricheskiy Journal, 2008, no. 1, pp. 11-13. (In Russ.)
3. Dorling J. S., Field D. J., Manktelow B. Neonatal disease severity scoring systems. Arch. Dis. Child Fetal Neonatal. Ed., 2005, vol. 90, pp. 11-16. https://doi.org/10.1136/adc.2003.048488.
4. Gould J. B., Danielsen B. H., Bollman L. et al. Estimating the quality of neonatal transport in California. J. Perinatol., 2013, vol. 33, no. 12, pp. 964-970. https://doi.org/10.1038/jp.2013.57.
5. Grass B., Ye X.Y., Kelly E. et al. Association between transport risk index of physiologic stability (TRIPS) in extremely premature infants and mortality or neurodevelopmental impairment at 18 to 24 months. J. Pediatrics, 2020, vol. 224, pp. 51-56.e5. https://doi.org/https:// https://doi.org/doi.org/10.1016/j.jpeds.2020.05.019.
6. Karlsson B. M., Berg J. Transport risk index of physiologic stability: a validation for Swedish conditions. J. Pediatric Neonatal Individual. Med., 2017, vol. 6, no. 2, pp. 22-23. https://doi.org/10.7363/060214.
7. Lee S. K., Aziz K., Dunn M. et al. Canadian Neonatal Network. Transport risk index of physiologic stability, version II (TRIPS-II): a simple and practical neonatal illness severity score. Am. J. Perinatol., 2013, vol. 30, no. 5, pp. 395-400. https://doi.org/10.1055/s-0032-1326983.
8. Lee S. K., Zupancic J. A., Pendray M. et al. Canadian Neonatal Network. Transport risk index of physiologic stability: a practical system for assessing infant transport care. J. Pediatr., 2001, vol. 139, no. 2, pp. 220-226. https://doi.org/10.1067/mpd.2001.115576 2017.
9. Lucas da Silva P. S., Euzebio de Aguiar V., Reis M. E. Assessing outcome in interhospital infant transport: the transport risk index of physiologic stability score at admission. Am. J. Perinatology, 2012, vol. 29, no. 7, pp. 509-514. https://doi.org/10.1055/s-0032-1310521.
10. Luna-Hernandez G., Varela-Cardoso M., Palacios-Blanco J. C. Utility of a physiologic stability index based on transport risk index of physiologic stability (TRIPS) for the evaluation of infants transferred to a specialized hospital. Bol. Med. Hosp. Infant. Mex., 2015, vol. 72, no. 1, pp. 45-54. https://doi.org/10.1016/j.bmhimx.2015.01.008.
11. Romanzeira J. C., Sarinho S. W. Quality Assessment of neonatal transport performed by the mobile emergency medical services (SAMU). J. Pediatr. (Rio J.), 2015, vol. 91, no. 4, pp. 380-385. https://doi.org/10.1016/j.jped.2014.10.006.
12. Van Erkel A. R., Pattynama P. M. T. Receiver operating characteristic (ROC) analysis: basic principles and applications in radiology. Eur. J. Radiol., 1998, vol. 27, pp. 88-94. https://doi.org/10.1016/s0720-048x(97)00157-5.
13. Whyte H., Dow K., Cronin C. M. et al. Canadian Neonatal Network. Variations in transport outcomes of outborn infants among Canadian neonatal intensive care units. Am. J. Perinatol., 2013, vol. 30, no. 5, pp. 377-382. https://doi.org/10.1055/s-0032-1324706.
Review
For citations:
Mukhametshin R.F., Davydova N.S., Kinzhalova S.V. Assessing the Predictive Value of TRIPS in Newborns. Messenger of ANESTHESIOLOGY AND RESUSCITATION. 2021;18(4):73-79. (In Russ.) https://doi.org/10.21292/2078-5658-2021-18-4-73-79
Email this article 