A New Birth Weight Prediction Based on Ultrasonography in Chinese Population
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Birth Weight
- Sponsor
- Nanfang Hospital, Southern Medical University
- Enrollment
- 10000
- Locations
- 1
- Primary Endpoint
- Estimated birth weight in g
- Last Updated
- 8 years ago
Overview
Brief Summary
To determine the value of principal component analysis in the combined method of three-dimensional ultrasonography assessing fetal limb volume and circumference and conventional two-dimensional ultrasonography for prediction of birth weight in southern Chinese population.
Detailed Description
A prospective study was performed on single pregnant women in third trimester. Three- and two-dimensional ultrasonography for fetal biometric parameters were measured within 7 days of delivery. Stepwise linear regression were used to develop a new prediction model based on values from limb parameters and traditional measurements in development group. Estimated and actual birth weight were compared between the new model and previously published formulas on absolute error and percentage error. The accuracy of the model in predicting fetal birth weight was reassured by validation group.
Investigators
Eligibility Criteria
Inclusion Criteria
- •The inclusion criteria consisted of well-defined gestational age (GA), singleton pregnancy and delivery in our hospital within 7 days from the scan performed for acquisition of 2D and 3D ultrasonographic data.
Exclusion Criteria
- •The exclusion criteria were equivocal GA, multiple pregnancy, fetal severe malformation detected by prenatal ultrasonographic scans, delivery more than 7 days after the scan of 2D and 3D ultrasonography, and delivery in other institutions.
Outcomes
Primary Outcomes
Estimated birth weight in g
Time Frame: 7 days within delivery
Estimated birth weight (g) calculated by a new formula generated from ultrasonograohic parameters in development group using statistical analysis.
Secondary Outcomes
- Absolute error in g(After birth)
- Percentage error in %(After birth)