Poster Session 2
Rachel Malone
Royal College of Surgeons in Ireland
Dublin, Dublin, Ireland
Patrick Dicker, BA, MA, MSc (he/him/his)
Statistician
Royal College of Surgeons in Ireland
Dublin, Dublin, Ireland
Naomi Burke, N/A
MD, MRCPI, MRCOG; Obstetrics & Gynaecology
Royal College of Surgeons in Ireland
Dublin, Dublin, Ireland
Ronan Daly, MD
Royal College of Surgeons in Ireland
Dublin, Dublin, Ireland
Elizabeth Tunney, MBBCH
Royal College of Surgeons in Ireland
Dublin, Dublin, Ireland
Rebecca Boughton
Obstetrics and Gynaecology Doctor
Royal College of Surgeons in Ireland
Dublin, Dublin, Ireland
Alex Dakin, MBBCH, MSc
Royal College of Surgeons in Ireland
Dublin, Dublin, Ireland
Fergal D. Malone, MD
Obstetrician & Gynecologist
Royal College of Surgeons in Ireland
Dubiln, Dublin, Ireland
Prediction of intrapartum cesarean delivery (CD) would be of significant benefit in reducing labor-associated morbidity. While different fetal sonographic biometric parameters have been studied to develop individual patient CD risks, they are subject to ultrasound resource limitations, as well as interobserver variability in ultrasound precision. Our objective was to evaluate whether simple, easily repeatable measurements of a pregnant woman’s head circumference and her height could provide an easy method of CD risk prediction in routine antenatal clinics.