Association of sonographic pelvimetry and fetal head circumference in predicting the type of delivery
DOI:
https://doi.org/10.56536/jbahs.v6i1.166Keywords:
Fetal head circumference, Ultrasonography, Type of delivery prediction, Obstetrics conjugateAbstract
Background: The accurate prediction of delivery mode (vaginal or cesarean) using sonographically measured pelvimetry and fetal head circumference (FHC) is a crucial aspect of obstetric care. Such predictions are instrumental in optimizing maternal and neonatal outcomes, particularly in cases of fetal-pelvic disproportion.
Introduction: The rationale for the study lies in the clinical significance of predicting the mode of delivery to improve maternal and neonatal outcomes. The study aims to explore the correlation between sonographically determined pelvimetry and FHC with the mode of delivery. Insights from this research are intended to assist obstetric decision-making and enhance delivery management strategies.
Objective: The objective of this study was to determine the relationship between sonographically measured pelvimetry and FHC in predicting the mode of delivery.
Methodology: A cross-sectional longitudinal approach was adopted, with the research conducted at the Family Clinic D.G Khan. Data from 133 patients were analysed using SPSS and Microsoft Excel.
Results: Of the 133 cases, 18 (13.53%) were cesarean deliveries, and 115 (86.47%) were normal deliveries. The ages ranged from 25 to 38 years (mean = 30.316, SD = 3.3129). The "HC cm" variable showed a significant association with delivery mode (coefficient = 3.73780, p = 0.0328). Birth weights were lower in cesarean deliveries (mean = 2541.44 grams) compared to normal deliveries (mean = 2601.25 grams). Unequal variances between groups were observed, and deviations from normality were noted in residuals.
Conclusions: The study indicates a significant difference in birth weights between cesarean and normal deliveries, emphasizing the role of sonographic measures like FHC in predicting delivery mode. These findings highlight the importance of considering distributional differences and delivery mode when analysing birth-related data.
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