Abstract：ObjectiveTo explore the predictive value of lung ultrasound score (LUS) for the use of invasive mechanical ventilation in neonates with respiratory distress. MethodsFifty neonates with respiratory distress were enrolled in Department of Maternity, Affiliated Hospital of Jining Medical University from June to December 2019. According to different respiratory support methods, they were divided into invasive mechanical ventilation group and non-invasive ventilation group. All patients underwent lung ultrasound examination and were scored before invasive mechanical ventilation or non-invasive ventilation. The binary Logistic regression was used to explore the influential factors for the use of invasive mechanical ventilation in neonates with respiratory distress. The receiver operating characteristic (ROC) was used to explore the predictive value of LUS on the use of invasive mechanical ventilation in neonates with respiratory distress. ResultsOf the 50 neonates with dyspnea, 23(46.00%) infants had invasive mechanical ventilation, with a median LUS of 12 (10,12) points, and 27(54.00%) infants had non-invasive ventilation, with a median LUS of 7 (6,11) points, and the difference was statistically significant （Z=3.62，P＜0.01）. LUS was an independent influential factor for mechanical ventilation in dyspnea neonates (OR=1.512, 95%CI:1.168-1.958, P＜0.01). The area under the curve (AUC) of LUS for predicting mechanical ventilation was 0.77 (95%CI:0.64-0.89，P＜0.01), the optimal threshold was 11 points, the sensitivity was 76.50%, and the specificity was 83.30%. ConclusionsLUS can be utilized to predict mechanical ventilation in neonates with respiratory distress accurately. The cutoff value of 11 points provides optimal sensitivity and specificity.
