Assessing the Predictive Value of TRIPS in Newborns

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.

Keywords

• newborn transfer
• disease severity scoring systems
• prognostic scales