A New Birth Weight Prediction in Chinese Population

A New Birth Weight Prediction Based on Ultrasonography in Chinese Population

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.

Study Overview

Status

Unknown

Conditions

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.

Study Type

Interventional

Enrollment (Anticipated)

10000

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Guangdong
      • Guangzhou, Guangdong, China, 510515
        • Recruiting
        • Department of Gynecology and Obstetrics, Nanfang Hospital, Southern Medical University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Factorial Assignment
  • Masking: Quadruple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Development Group
Development Group is used to establish the prediction model.2D and 3D ultrasonography are performed in this group. Through statistical analysis we obtain a new model.
All of the examinations are performed with the same transabdominal ultrasonic transducer (RAB 2-5-D) on the same E8 (GE Medical Systems, Milwaukee, WI, USA) ultrasonic machine experienced operators. 2D ultrasonic measurements includes 5 standard fetal biometry parameters, and after routine 2D ultrasonography, the acquisition of 3D measurements are performed.
Other: Validation group
Validation Group is used to confirm the efficacy of the prediction model.2D and 3D ultrasonography are performed in this group.Absolute and percentage error are calculated and compared with a common formula to confirm the accuracy of this new model.
All of the examinations are performed with the same transabdominal ultrasonic transducer (RAB 2-5-D) on the same E8 (GE Medical Systems, Milwaukee, WI, USA) ultrasonic machine experienced operators. 2D ultrasonic measurements includes 5 standard fetal biometry parameters, and after routine 2D ultrasonography, the acquisition of 3D measurements are performed.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
7 days within delivery

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Absolute error in g
Time Frame: After birth
Absolute error (g) calculated from estimated birth weight (g) and actual birth weight (g)
After birth
Percentage error in %
Time Frame: After birth
Percentage error (%) calculated from estimated birth weight (g) and actual birth weight (g)
After birth

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Study Chair: Fang Yang, Nanfang Hospital of Southern Medical University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 1, 2016

Primary Completion (Anticipated)

September 1, 2020

Study Completion (Anticipated)

September 1, 2021

Study Registration Dates

First Submitted

July 6, 2017

First Submitted That Met QC Criteria

July 17, 2017

First Posted (Actual)

July 21, 2017

Study Record Updates

Last Update Posted (Actual)

July 21, 2017

Last Update Submitted That Met QC Criteria

July 17, 2017

Last Verified

July 1, 2017

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • LC2016PY021

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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