Predicting Factors of INSURE Failure in Low Birth-Weight Neonates with Respiratory Distress Syndrome: A Logistic Regression Model

Background: respiratory distress syndrome (rds) is the most common respiratory disorder in premature neonates and the leading cause of death among them. we have attempted to investigate factors to predict the success or failure of the insure method as a therapeutic method for rds. methods: in a cohort study, 45 neonates who had been diagnosed with rds and had a birth weight of lower than 1500g were included and they underwent insure followed by nasal continuous positive airway pressure (ncpap). the patients were divided into the failure group and the successful group. the factors which can predict the success level of insure were investigated by logistic regression in spss, version 16. results: twenty-nine and 16 neonates were observed in the successful and the failure group respectively. birth weight was the only variable with a significant difference between the two groups (p=0.002). as a result, the logistic regression test indicated that birth weight can be the predicting factor only for the success group (p: 0.001, exp[β]: 0.009, ci [95%]: 1.003-0.014) and the mortality (p: 0.029, exp[β]: 0.993, ci [95%]: 0.987-0.999) of neonates who were treated with the insure method. conclusion: predicting factors which affect the success level of insure can be useful for both treating and reducing the cost of treatment for the neonates diagnosed with rds. moreover, birth weight is one of the most effective factors in insure success in this study.