The Utility of Customised Growth Charts for Identifying Macrosomia and the Effect of Intervention

October 1, 2020 updated by: Newcastle University
Best management of suspected large for gestational age (LGA) fetuses is unclear. In some hospitals women with an LGA fetus by customised growth charts are are offered earlier induction. This study aimed to examine scan accuracy for this group and the outcome with intervention.

Study Overview

Detailed Description

This is a retrospective cohort study of pregnant women taken from 3 groups; women with a suspected LGA fetus (LGA), women with diabetes (DM) and a control group of women that underwent induction of labour at or after 40 weeks. Scan accuracy using GROW and WHO charts in the LGA and DM cohorts was assessed using ROC curves and outcomes between the cohorts was compared.

Study Type

Observational

Enrollment (Actual)

845

Contacts and Locations

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

Study Locations

    • Tyne And Wear
      • Newcastle Upon Tyne, Tyne And Wear, United Kingdom, NE24HH
        • Benjamin Simpson

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

  • ADULT
  • OLDER_ADULT
  • CHILD

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

Pregnant women booked for their care at Northumbria Healthcare Trust in North East England: a predominantly white British female population with rates of obesity above the national average.

Description

Inclusion Criteria:

  • Induced labour of a singleton pregnancy at Northumbria Healthcare Foundation trust resulting in a delivery between 01/01/2018 and 31/12/2018.

Inclusion in the LGA group means that the main indication for induction is recorded as suspected macrosomia.

Inclusion in the Diabetic group means diabetes was pre-existing or arose in pregnancy, diagnosed by oral glucose tolerance testing from 24-30 weeks or by home blood glucose monitoring with standard thresholds as per NICE ng3. Induction had to be undertaken with diabetes as the (co)indication.

Inclusion criteria for the control group was induction of labour at or after 280 days gestation

Exclusion Criteria:

Previous caesarean section Multiple pregnancy Fetal concerns pre-induction: abnormal antenatal trace or abnormal doppler flow studies on antenatal ultrasound

  • Cases of induction for suspected LGA are to be excluded if there is a co-indication of obstetric cholestasis, hypertensive disorder or diabetes.

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Suspected large for gestational age (LGA)
Women with pregnancies suspected to be complicated by fetuses weighing more than the 90th centile on customised growth chart and induced for this reason prior to 287 days as the main indication without diabetes.
Induction of labour using amniotomy, vaginal prostaglandin administration and syntocinon in combination as per protocol.
Women with diabetes (DM)
Women with diabetes in pregnancy induced at between 259 and 266 days if on treatment and 273 days if gestational diabetes managed with diet alone.
Induction of labour using amniotomy, vaginal prostaglandin administration and syntocinon in combination as per protocol.
Control
All other women induced at or after 280 days of gestation
Induction of labour using amniotomy, vaginal prostaglandin administration and syntocinon in combination as per protocol.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mode of delivery
Time Frame: through study completion, an average of 1 year
Caesarean section and assisted delivery rates
through study completion, an average of 1 year
Shoulder dystocia rate
Time Frame: through study completion, an average of 1 year
Any clinically diagnosed cases of shoulder dystocia where the shoulders did not deliver with routine axial traction on the next contraction after the head was delivered.
through study completion, an average of 1 year
Estimated blood loss
Time Frame: through study completion, an average of 1 year
Blood loss as estimated by the clinical team
through study completion, an average of 1 year
Obstetric Anal Sphincter Injury
Time Frame: through study completion, an average of 1 year
Any tear involving the external anal sphincter and/or rectal mucosa
through study completion, an average of 1 year
Admission to special care baby unit (SCBU)
Time Frame: through study completion, an average of 1 year
Admission of neonate to neonatal unit from labour ward
through study completion, an average of 1 year
Epidural rate
Time Frame: through study completion, an average of 1 year
Use of epdiural analgesia intrapartum
through study completion, an average of 1 year
Birthweight
Time Frame: through study completion, an average of 1 year
Neonatal weight as taken following delivery
through study completion, an average of 1 year

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Prediction of WHO birthweight >90th centile by scan estimated weight centile on WHO chart
Time Frame: through study completion, an average of 1 year
As above
through study completion, an average of 1 year
Birthweight centile as per customised chart
Time Frame: through study completion, an average of 1 year
Birthweight centile given birthweight and maternal characteristics as per perinatal institute
through study completion, an average of 1 year
Birthweight centile as per WHO population chart
Time Frame: through study completion, an average of 1 year
Based on Kiserud T, Piaggio G, Carroli G, Widmer M, Carvalho J, et al. (2017) The World Health Organization Fetal Growth Charts: A Multinational Longitudinal Study of Ultrasound Biometric Measurements and Estimated Fetal Weight. PLOS Medicine 14(1): e1002220. https://doi.org/10.1371/journal.pmed.1002220
through study completion, an average of 1 year
Scan error as a percentage of estimated fetal weight
Time Frame: through study completion, an average of 1 year
Difference between birthweight and what it was expected to be based on estimated weight (using perinatal institutes calculator) at scan, given as a percentage of that estimated weight
through study completion, an average of 1 year
Prediction of Customised growth chart birthweight >90th centile by estimated weight on scan
Time Frame: through study completion, an average of 1 year
As above
through study completion, an average of 1 year
Prediction of birthweight >4kg based on projected weight at time of delivery from scan estimated weight
Time Frame: through study completion, an average of 1 year
As above
through study completion, an average of 1 year

Collaborators and Investigators

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

January 1, 2018

Primary Completion (ACTUAL)

December 31, 2018

Study Completion (ACTUAL)

December 31, 2018

Study Registration Dates

First Submitted

August 28, 2020

First Submitted That Met QC Criteria

August 28, 2020

First Posted (ACTUAL)

September 3, 2020

Study Record Updates

Last Update Posted (ACTUAL)

October 5, 2020

Last Update Submitted That Met QC Criteria

October 1, 2020

Last Verified

July 1, 2020

More Information

Terms related to this study

Other Study ID Numbers

  • SIMPS01

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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