Ann Pregnancy Birth | Volume 1, Issue 2 | Research Article | Open Access

Accuracy of Antenatal Ultrasound in High Risk Obstetrical Unit in Predicting Neonatal Actual Birth Weight

Samar Al Toukhi1, Saja Al Amri1, Maha Al Nemer1, Saleh Al Ageel2 and Wesam Kurdi1*

1Department of Obstetrics and Gynecology, King Faisal Specialist Hospital and Research Center, Saudi Arabia
2Department of Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Saudi Arabia

*Correspondance to: Wesam Kurdi 

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Abstract

Objectives: In this study we will evaluate the accuracy of antenatal ultrasound in predicting Actual Birth Weight (ABW) and identify any contributing factors that might be modified to improve our accuracy rate in our high risk ultrasound department. Furthermore, we aim to assess the ultrasound department’s performance in comparison to international figures and to demonstrate the need for providing additional training if required. Setting: King Faisal Specialist Hospital and Research Center (Maternal Fetal Medicine Section), Riyadh, Saudi Arabia.
Design: Retrospective cohort study from January 2011 till August 2014. Material and
Method: Total of 680 pregnant ladies were collected using chart review data from KFSHRC’s delivery book as well as electronic data from Viewpoint® (comprehensive data management software) aimed at patients who followed up and delivered at KFSHRC and had U/S within 7 days of delivery. The main outcome measures were to evaluate our official ultrasound accuracy in KFSHRC in predicting Estimated Fetal Weight (EFW) by comparing it to actual postnatal birth weight.
Result: In our study, we observed that the most accurate EFW were obtained among deliveries with birth weights of <2500 gm. On the other hand, fetal weights were overestimated among fetuses >4000 gm.

Citation:

Al Toukhi S, Al Amri S, Al Nemer M, Al Ageel S, Kurdi W. Accuracy of Antenatal Ultrasound in High Risk Obstetrical Unit in Predicting Neonatal Actual Birth Weight. Ann Pregnancy Birth. 2018; 1(2): 1007.

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