No abstract

No abstract

No abstract

Objectives: This ultrasound-based intrapartum app was launched for research purposes at 2017 to predict the likelihood of vaginal delivery by incorporating maternal characteristics, cervical dilation plus intrapartum parameters during first stage of labour. We aimed to study whether this app could be applied to our local population with majority of Chinese women. Methods: Non-consecutive nulliparous women with singleton pregnancy in cephalic presentation between 37 to 41wks were recruited during active stage of labour at a regional hospital in Hong Kong. Clinical parameters (age, BMI, gestational week, presence or absence of prolonged labour, cervical dilatation) and intrapartum parameters (fetal head position, head-perineum distance and depth of caput) were entered into the app to calculate the likelihood of vaginal delivery. The outcome of the pregnancies was compared with the prediction model. The data of the 68 women between June 2019 and November 2020 were analysed in this pilot study. One of them was Vietnamese and the rest were Chinese. Results: The prediction model from the ''intrapartum app'' could be classified into three groups: ''high'', ''medium'' and ''low'' with likelihood of vaginal delivery of 90-100%, 75-90% and < 75% respectively. The observed percentage of vaginal delivery from the study on 269 women published by Usman S et al in 2019 were 84.8%, 72.2% and 39.7% respectively. While the observed percentage of vaginal delivery on our 68 women were 88.1% (37/42), 60% (9/15) and 63.6% (7/11) respectively. Conclusions: The observed percentage of vaginal delivery from ''intrapartum app'' was comparable with the expected and observed figure for the ''high'' group. It could be used as positive feedback to encourage women and their partners during active labour in these scenarios. The relatively lower prediction amongst the 2 other groups is not unexpected due to the difference in the characteristics of the study population. Overall, the ''intrapartum app'' could enhance the communication amongst obstetricians, midwives, pregnant women and their partners during the active labour process. VP45.18Ultrasonographic score for predicting success of labour