NCT02478554

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

15
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Timeline
Completed

Started Aug 2015

Status
withdrawn

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 10, 2015

Completed
13 days until next milestone

First Posted

Study publicly available on registry

June 23, 2015

Completed
1 month until next milestone

Study Start

First participant enrolled

August 1, 2015

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 1, 2016

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 1, 2016

Completed
Last Updated

July 2, 2018

Status Verified

June 1, 2018

Enrollment Period

1 year

First QC Date

June 10, 2015

Last Update Submit

June 28, 2018

Conditions

Keywords

Fetal growth restrictionmacrosomia

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 INTERVENTION

Participants will be randomly assigned to population-based fetal growth curves

Customized-based

ACTIVE COMPARATOR

Participants will be randomly assigned to customized-based fetal growth curves (intervention)

Other: Customized fetal growth curves

Interventions

Fetal weight will be plotted against growth curves specific for height, weight, parity and ethnicity

Customized-based

Eligibility Criteria

Age18 Years+
Sexfemale
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

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

Fetal Growth RetardationFetal Macrosomia

Condition Hierarchy (Ancestors)

Fetal DiseasesPregnancy ComplicationsFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesCongenital, Hereditary, and Neonatal Diseases and AbnormalitiesGrowth DisordersPathologic ProcessesPathological Conditions, Signs and SymptomsDiabetes, GestationalPregnancy in DiabeticsDiabetes ComplicationsDiabetes MellitusEndocrine System DiseasesBirth WeightBody WeightSigns and Symptoms
0

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