Predicting the severity of the course of transient tachypnea in full-term newborns in the delivery room

Abstract

The aim of the work is to develop a method for predicting the severe course of transient tachypnea in full-term newborns in the delivery room to optimize treatment tactics and improve disease outcomes. Materials and methods. Retrospective, clinical, observational, cohort study. The analysis included 201 newborns and 51 signs characterizing the history of pregnancy and childbirth, as well as the features of the clinical course of the disease. Results. As a result of modelling the prognosis of the severity of the course of transient tachypnea newborns (TTNT), 3 variables were identified: the severity of respiratory distress syndrome according to the Downes scale in points, the Apgar score at 1 and 5 minutes in points. The practical solution of the presented method is to predict the risk of hospitalization of TTN patients in the neonatal intensive care unit at the stage of the delivery room with the development of primary respiratory disorders based on clinical data. Discussion. Making a decision by a neonatologist about the need for early consultation of a TTN patient by a resuscitator is an important point in predicting the course of the disease, and the method we developed is an effective tool with high accuracy (80.9%), sensitivity (82.5%), and specificity (80.3%). The prognosis is carried out directly in the delivery room within a few minutes, it is not traumatic for the newborn, does not require the collection of biological material, expensive reagents or special equipment. We recommend the developed prognostic model to be introduced into the practice of maternity hospitals and perinatal centers to predict the severity of TTN and the risk of hospitalization in the NICU.