Study Stopped
Not IRB approved
Antenatal Development Evaluated Prospectively
ADEPT
Customized Versus Population Fetal Growth Curves: A Randomized Controlled Pilot Trial
1 other identifier
interventional
N/A
0 countries
N/A
Brief Summary
Fetal growth abnormalities is one of the most common problems faced in modern obstetrics. The association between low birth weight and perinatal death as well as severe morbidity is well known. Since fetal weight cannot be measured directly, obstetricians use estimates of fetal weight obtained by utilizing various ultrasonographic measurements to diagnose growth abnormalities. Currently in clinical practice, the majority of fetal ultrasound centers employ population-based fetal growth curves that have been previously published and updated to estimate fetal weight percentiles. Up to 70% of neonates found to be below the 10% percentile for estimated fetal weight in population-based growth curves are actually constitutionally small; that is a neonate deemed "small" based on standardized growth curves but in reality have reached its appropriate growth potential in relation to its genetic predisposition. An equally difficult clinical scenario is fetal macrosomia. A recent meta-analysis revealed that the sensitivity and specificity of ultrasound detection of fetal macrosomia ranges from 15-79%. When compared with neonates with normal birth weight, the odds ratio of emergency cesarean delivery and shoulder dystocia are increased significantly. Various ultrasound parameters have been tested in an effort to detect both fetal compromise prior to the development of permanent damage and allow differentiation between true fetal growth abnormalities and normal growth potential. Recent reports have introduced the concept of customized fetal growth curve which uses physiological variables to report an adjusted fetal growth assessment. To date, the use of customized fetal growth curves has not been evaluated prospectively. Furthermore, this strategy has not been compared to standard population-based fetal growth curves currently used in clinical practice to determine which would be the most ideal for use in clinical practice. The primary research question is: are customized fetal growth curves more accurate than population-based fetal growth curves at predicting abnormalities in fetal growth, defined as small-for-gestational age or large-for-gestational age at birth in newborns of high-risk pregnancies? Randomly, participants will be assigned to either having fetal growth reported by customized or population bases growth curves.
Trial Health
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Started Aug 2015
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Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 10, 2015
CompletedFirst Posted
Study publicly available on registry
June 23, 2015
CompletedStudy Start
First participant enrolled
August 1, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2016
CompletedJuly 2, 2018
June 1, 2018
1 year
June 10, 2015
June 28, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Detection of fetal growth abnormalities
Birth weight will be used to confirm prenatal diagnosis of fetal growth abnormality
Participants will be followed from 24 weeks gestation to 2 weeks postpartum
Study Arms (2)
Population-based
NO INTERVENTIONParticipants will be randomly assigned to population-based fetal growth curves
Customized-based
ACTIVE COMPARATORParticipants will be randomly assigned to customized-based fetal growth curves (intervention)
Interventions
Fetal weight will be plotted against growth curves specific for height, weight, parity and ethnicity
Eligibility Criteria
You may qualify if:
- Gestational age greater than or equal to 24 weeks gestation.
- Maternal age over 18 years,
- Prior normal fetal anatomy ultrasound done at main ultrasound unit
You may not qualify if:
- \. Pregnancies carrying higher order multiples (triplets, quadruplets, etc).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- CARE PROVIDER
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 10, 2015
First Posted
June 23, 2015
Study Start
August 1, 2015
Primary Completion
August 1, 2016
Study Completion
August 1, 2016
Last Updated
July 2, 2018
Record last verified: 2018-06