Piersson, Albert ORCID: https://orcid.org/0000-0001-9167-0269 and Asoeh, A. (2023) EP15.10: Effect of maternal demographics and clinical characteristics on fetal biometric measurements: a pilot study. Ultrasound in Obstetrics & Gynecology, 62 (S1). p. 190.

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Abstract

Objectives

To explore the effect of maternal demographics and clinical characteristics on fetal biometric measurements.

Methods

A sample of 20 women with singleton pregnancies were recruited. Ultrasound scan data and antenatal records were obtained at 2nd and 3rd trimesters. Multiple linear regression analysis was used to model the relationship between fetal biometric measurements (biparietal diameter [BPD], head circumference [HC], abdominal circumference [AC], femur length [FL], and estimated fetal weight [EFW]) and age, marital status, educational status, blood group, hemoglobin (Hb) levels (at least 3 measurements), number of pregnancies, number of births, height, weight, and body mass index.

Results

We found that the model was statistically significant, F (9, 6) = 5.02, p = 0.03, R2 = 0.88. In the 2nd trimester: maternal age, Hb3, number of pregnancies, and record of the number of births were significant predictors of all fetal biometric measurements (p < 0.05); height and weight significantly predicted HC (p = 0.01) and AC (p = 0.02); whereas BMI was a significant predictor of BPD (p = 0.04), HC (p < 0.001), and AC (p < 0.001). In the 3rd trimester: maternal age significantly predicted FL (p = 0.04) and EFW (p = 0.01); Hb1 significantly predicted AC (p < 0.001), FL (p = 0.03), and EFW (p < 0.001); Hb2 significantly predicted AC (p = 0.03) and EFW (p = 0.02); Hb3 significantly predicted HC (p < 0.001), AC (p = 0.02), and EFW (p = 0.01); the record of the number of pregnancies contributed to the prediction of AC (p = 0.02), and EFW (p < 0.001); and record of the number of births significantly predicted AC (p = 0.01) and EFW (p < 0.001).

Conclusions

The findings suggest that maternal clinical characteristics impact fetal biometric measurements differentially in each trimester of pregnancy. This pilot study sets the framework for a population-based study that seeks to explore how a myriad of maternal and environmental factors influence fetal and neonatal outcomes and maternal health.

Item Type:	Article
Status:	Published
DOI:	10.1002/uog.26878
School/Department:	School of Science, Technology and Health
URI:	https://ray.yorksj.ac.uk/id/eprint/12382

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