Challenges in Estimating Gestational Age Using LMP and Ultrasound in Late Antenatal Care: A Study in Low-Resource Sudan

Accurate gestational age estimation is crucial for managing maternal and neonatal health outcomes. In low-resource settings like Sudan, the last menstrual period (LMP) and ultrasound are common methods for estimating gestational age, but studies comparing their accuracy in Sub-Saharan Africa, particularly in Sudan, are limited. This cross-sectional study, conducted in Gadarif Maternity Hospital from November to December 2022, evaluated the correlation between LMP and ultrasound-based gestational age estimates among 476 pregnant women. Sociodemographic data, including participants’ age and gravidity, were collected, and LMP dates recorded. Ultrasound measurements using a 3.5-MHz convex sector probe assessed gestational age by measuring crown-rump length in early pregnancy and biparietal diameter and femur length in later stages.

Results indicated a strong positive correlation between LMP and ultrasound gestational age estimates (r = 0.921, P < 0.001). However, LMP-based estimates averaged slightly higher than ultrasound estimates, with a mean difference of 0.01 weeks (95% CI: -0.05 to 0.07). Bland-Altman analysis revealed limits of agreement ranging from -1.36 to 1.38 weeks, indicating potential variability between the two methods. Linear regression analysis suggested a proportional bias, with the mean difference coefficient at 0.26 (95% CI: 0.01 to 0.03, P < 0.001). These findings highlight a bias in LMP-based estimations compared to the more consistent ultrasound method, suggesting that reliance solely on LMP in low-resource settings may lead to gestational age miscalculations.

In conclusion, LMP-based gestational age estimation may be less reliable than ultrasound in Sudan’s late antenatal care context, underscoring the importance of integrating ultrasound where possible to enhance prenatal care accuracy.

Challenges in Estimating Gestational Age Using LMP and Ultrasound in Late Antena…

by Echo Writer time to read: 1 min
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