predicting factors of insure failure in low birth weight neonates with rds; a logistic regression model

background:respiratory distress syndrome is the most common respiratory disease in premature neonate and the most important cause of death among them. we aimed to investigate factors to predict successful or failure of insure method as a therapeutic method of rds.methods:in a cohort study,45 neonates with diagnosed rds and birth weight lower than 1500g were included and they underwent insure followed by ncpap(nasal continuous positive airway pressure). the patients were divided into failure or successful groups and factors which can predict success of insure were investigated by logistic regression in spss 16th version.results:29 and16 neonates were observed in successful and failure groups, respectively. birth weight was the only variable with significant difference between two groups (p=0.002). finally logistic regression test showed that birth weight is only predicting factor for success (p: 0.001, exp[β]: 0.009, ci [95%]: 1.003-0.014) and mortality (p: 0.029, exp[β]: 0.993, ci [95%]: 0.987-0.999) of neonates treated with insure method.conclusion:predicting factors which affect on success rate of insure can be useful for treating and reducing charge of neonate with rds and the birth weight is one of the effective factor on insure success in this study.