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Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

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Published on: February 2, 2017

Birth weight estimation--a sonographic model for Pakistani population.

Waseem Akhtar1, Arif Ali, Mubashir Aslam

  • 1Department of Radiology, Aga Khan University Hospital, Pakistan.

JPMA. the Journal of the Pakistan Medical Association
|June 29, 2010
PubMed
Summary

A new sonographic model accurately estimates birth weight in the Pakistani population. This modified regression model showed the least difference with actual neonatal birth weight, offering reliable predictions.

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Area of Science:

  • Obstetrics and Gynecology
  • Medical Imaging
  • Neonatal Health

Background:

  • Accurate fetal weight estimation is crucial for optimal pregnancy management and neonatal outcomes.
  • Existing sonographic birth weight estimation models may not perform optimally across diverse ethnic populations.
  • The Pakistani population requires a localized model for precise fetal weight prediction.

Purpose of the Study:

  • To develop and validate a sonographic birth weight estimation model tailored for the Pakistani population.
  • To assess the performance of previously published fetal weight estimation models in this specific demographic.
  • To improve the accuracy of prenatal ultrasound-based weight predictions.

Main Methods:

  • Data collected from pregnant women (37-42 weeks gestation) at Aga Khan University Hospital, Karachi.
  • Ultrasound fetal weight estimations were performed within 4 days of term delivery.
  • A modified sonographic birth weight estimation model was derived using linear regression analysis.

Main Results:

  • A modified sonographic birth weight estimation model was successfully developed using fetal parameters.
  • The derived regression model demonstrated no significant difference between actual and predicted birth weights (p > 0.05).
  • The modified model exhibited the least difference (p = 0.7, Mean difference 14 +/- 37.7 g) compared to actual birth weights.

Conclusions:

  • The developed sonographic modified regression model reliably estimates fetal weight in the Pakistani population.
  • This localized model offers superior accuracy compared to existing models like Hadlock1, Hadlock2, and Woo2 in this setting.
  • The findings suggest careful consideration or adaptation of non-localized models for fetal weight prediction in Pakistan.