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Detecting fetal macrosomia with abdominal circumference alone.
Christine Henrichs1, Everett F Magann, Kara L Brantley
1Division of Maternal-Fetal Medicine, Spartanburg Regional Medical Center, Spartanburg, South Carolina, USA.
The Journal of Reproductive Medicine
|June 21, 2003
Summary
Abdominal circumference (AC) measurements can slightly identify macrosomia, a condition of excessive fetal growth, in term pregnancies. However, larger studies are needed for precise clinical application.
Area of Science:
- Maternal-fetal medicine
- Diagnostic imaging in obstetrics
- Fetal growth assessment
Background:
- Macrosomia, defined as birth weight greater than or equal to 4,000 grams, poses risks to both mother and infant.
- Accurate identification of macrosomia is crucial for appropriate obstetric management.
- Ultrasound-based measurements are commonly used to estimate fetal weight, but their accuracy in identifying macrosomia can vary.
Purpose of the Study:
- To evaluate the efficacy of abdominal circumference (AC) in identifying macrosomic fetuses at or beyond 37 weeks of gestation.
- To determine the diagnostic performance of AC for macrosomia using receiver-operating characteristic (ROC) curve analysis.
Main Methods:
- Prospective study involving 256 parturients at term.
- Sonographic measurement of abdominal circumference (AC) was performed.
- Receiver-operating characteristic (ROC) curve analysis and likelihood ratio calculation were used to assess AC's ability to differentiate between normal birth weight and macrosomia.
Main Results:
- The prevalence of macrosomia was 8.2% (21/256) with a mean gestational age of 39.1 weeks.
- An AC threshold of >= 350 mm was identified as indicative of macrosomic fetuses.
- The area under the ROC curve was 0.79 +/- 0.04, and the likelihood ratio for detecting macrosomia was 2.9 (95% CI, 2.1-4.0).
Conclusions:
- Abdominal circumference (AC) demonstrates slight utility in detecting macrosomia among term parturients.
- Further research with a larger sample size is required to obtain narrow confidence intervals for a clinically useful likelihood ratio.