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Obesity01:24

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in adipocytes...

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External Cephalic Version: Is it an Effective and Safe Procedure?
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Suspected macrosomia? Better not tell.

D Sadeh-Mestechkin1, A Walfisch, R Shachar

  • 1Department of Obstetrics and Gynecology, Faculty of Health Sciences, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel. mestechk@bgu.ac.il

Archives of Gynecology and Obstetrics
|February 27, 2008
PubMed
Summary

Predicting fetal macrosomia is challenging. Current management policies increase labor induction and cesarean delivery rates without improving maternal or infant outcomes.

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Area of Science:

  • Obstetrics and Gynecology
  • Perinatal Medicine
  • Maternal-Fetal Medicine

Background:

  • Fetal macrosomia, defined as estimated fetal weight of 4,000 grams or more, presents management challenges in obstetrics.
  • Accurate prediction of macrosomia is crucial for optimizing delivery strategies and minimizing maternal and infant complications.

Purpose of the Study:

  • To evaluate the effectiveness of a specific management policy for suspected fetal macrosomia.
  • To describe the maternal and infant outcomes associated with this management policy.

Main Methods:

  • Prospective observational study involving 145 women with suspected macrosomic infants (≥4,000 g).
  • Inclusion criteria: term pregnancies diagnosed with macrosomia via obstetrician assessment and/or sonographic estimation.
  • Comparison group: 5,943 women delivering during the same period.

Main Results:

  • Induction of labor and cesarean delivery rates were significantly higher in the study group with suspected macrosomia compared to the comparison group.
  • No significant differences in maternal or infant complications were observed between non-macrosomic and macrosomic pregnancies within the study group.
  • Diagnostic accuracy for macrosomia: sensitivity 21.6%, specificity 98.6%, positive predictive value 43.5%.

Conclusions:

  • The ability to accurately predict fetal macrosomia is limited.
  • The current management policy for suspected macrosomic pregnancies leads to increased rates of labor induction and cesarean delivery.
  • This policy does not appear to improve maternal or fetal outcomes.