- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04764461
Use of Customized GROW Charts for Detection of SGA in Low Risk Woman.
February 17, 2021 updated by: Farhat Ul Ain Ahmed, Fatima Memorial Hospital
Use of Customized Fundal Height Charts for Detection of Small for Gestational Age Fetuses in Low Risk Woman: A Randomized Controlled Trial.
A prospective randomised control trial to evaluate the effectiveness of customised growth charts for detection of small for gestational age fetus in low risk women, in comparison to conventional standard of care.
Study Overview
Status
Unknown
Conditions
Intervention / Treatment
Detailed Description
The most sensitive quality index of women and child health is perinatal mortality rate.
The annual toll of losses includes about 3 million stillbirths and 3.8 million neonatal deaths: half die on the first day of life.1,2
The top ten countries with highest neonatal death rate are India, Nigeria, Pakistan, China, DR Congo, Ethopia, Bangladesh, Indonesia, Afghanistan and Sudan.
These countries encompass 67% and 63% of the global total with 1.5 million neonatal deaths and 1.77 million stillbirths.3
Pakistan is the country with the highest stillbirth rate of 43.1 stillbirths per 1000 total births when compared to a global estimate of 18.4 in 2015.4
The most common condition associated with stillbirth is SGA, conventionally defined as a fetus with birth weight below 10th centile of its gestational age.5,6
SGA accounts for 30% of total stillbirths, perinatal mortality being highest if remain undetected before birth or when the birth weight is below the 3rd centile.7,8
One of the key strategy to prevent stillbirth is prediction and recognition of growth restricted fetuses.
Experts have reached to consensus to use 32 weeks as a cutoff to define early and late onset growth restriction.9
Early onset growth restricted fetuses have highl association with pre-eclampsia and angiogenic disbalance and can be predicted in about 90% of cases by incorporating maternal risk factors, uterine artery dopplers and angiogenic factors.
Whereas late onset FGR, using SGA as a proxy, remains unpredicted even after combining maternal characteristics, risk factors, blood pressure records, second trimester biometry and uterine artery dopplers (43.3% DR for 10% false positive rate).10
Late onset SGA with high prevalence around 10% are associated with non-evident placental disease, resulting in clinical challenge in its detection and diagnosis.
Late onset SGA if remains undetected are at increased risk of perinatal mortality (25-48% of non-anomalous stillbirths)5 and morbidity including fetal distress, acidosis and admissions in neonatal intensive unit.11,12
Adverse long-term health outcomes including type 2 diabetes, obesity and coronary heart disease are also associated with late onset SGA.13,14,15
Unfortunately, the burden of small for gestational age births is concentrated in South Asia, with prevalence of about 41.5%.16
To date, the research done in Pakistan on small for gestational age fetus is sparse.
The limited data quotes the incidence of small for gestational age babies between 3-10% and accounts for 18% of stillbirths.17,18
One of the key objectives of antenatal care aiming at improving neonatal outcomes includes recognition of risk factors, detection of growth restricted babies, longitudinal surveillance and deciding the best time to deliver them.
Six national guidelines on SGA by authorized bodies of United Kingdom (RCOG)7, United States of America (ACOG)19, Ireland (Health service Executive)20, Canada (Society of Obstetrician and gynecologist of Canada)21, New Zealand (New Zealand Maternal Fetal medicine Network)22 and France (French College of Obstetrician and Gynecologist)23 have a general consensus on first trimester booking screening for risk factors of SGA and classifying woman into either high risk or low risk group.
Risk factors for SGA, requiring increased surveillance include maternal age > 40 years, cocaine abuse, maternal or paternal SGA, previous history of SGA or still birth, chronic hypertension, diabetes with vascular disease, renal impairment, PAPPA < 0.4 mom, echogenic bowel and heaving bleeding similar to menses.24
All bodies except US recommends use of Aspirin from 16 weeks onward in all woman categorized as High risk.
There is unanimous agreement on surveillance with serial growth scans and umbilical artery dopplers.
However, 4 national bodies (RCOG, Health service Executive of Ireland, French College of Obstetrician and Gynecologist & New Zealand Maternal Fetal medicine Network) recommends use of plotting EFW on customized charts whereas, ACOG & SOGC does not specify EFW charts.24
For low risk woman the antenatal screening practice comprises of fundal height measurements.
All international guidelines recommend a tape measure for fundal height measurement.
Three guidelines (RCOG, Health service Executive of Ireland and New Zealand Maternal Fetal medicine Network)7,20,22 advocates serial plotting of fundal height measurements on customized charts whereas, two guidelines (ACOG & SOGC)19,21 recommends use of McDonalds rule and suspects suboptimal growth when the fundal height measurement is > 3cm less than the gestational age in weeks.
A single RCT did not show any significant difference between palpation and fundal height measurements in detection of SGA.25 A meta-analysis published in 2013 concluded symphysiofundal height unsuitable as a primary screening method for detection of SGA and LBW, with 60% DR for SGA for a false positive rate of 15%.
The meta analysis comprised of 46 mostly hospital-based studies, which may be a source of bias in concluding results.
For prediction of LBW there was no statistical difference between the pooled sensitivity and specificity (p=0.15 and 0.96, respectively) of cohort verses case control studies and between prospective and retrospective studies for prediction of SGA.
Whereas, for prediction of SGA there was also no statistical difference between the pooled sensitivity and specificity (p=0.26 and 0.65, respectively) of cohort verses case control studies and on the contrary the prospective studies decreased the pooled sensitivity (0.85 verses 0.89; p=0.00) in comparison to retrospective studies.26
A prospective cohort study concluded that by Incorporating a third trimester scan to fundal height measurements in low risk woman the detection rate for SGA can increase to 57%, whereas selective use detected only 20% of SGA.27 On the contrary, all national guidelines do not recommend routine third trimester scan for detection of SGA.7,19,20,21,22,23
The concept of customized or GROW charts by Gardosi et al is based on the principles: 1. physiological variables that impact fetal growth (maternal ethnicity, height, weight and parity) 2. Excluding pathological conditions like diabetes, hypertension and smoking.28
Use of GROW charts derived from uncomplicated pregnancies delineating estimated weight for a given gestation.
Gardosi et al reported the likelihood of detecting SGA by using standardized fundal height measurement alone when plotted on a customized chart to 47.9% in contrary to 29.2% with conventional symphysis-fundal height measurement without increasing the utilization of ultrasound scans.29
In 2013, the Perinatal institute of UK introduced Growth assessment Protocol (GAP).
GAP training encompasses of (1) staff training supported by theoretical and practical e-learning modules, (2) clinical application of evidence based guidelines including risk assessment, investigation and surveillance of fetal growth (3) training and bringing accuracy in measuring and plotting fundal height on customized growth charts (4) serial auditing to record process and outcome indicators and (5) audit of missed cases to explore the reason of not being detected antenatally.30
This program has been associated with increased detection rate of SGA and reduction in perinatal mortality.31
Based on this evidence and Royal College of Obstetrician & Gynecologist recommendation, the GAP program has been implemented in 80% of hospital trusts across UK.
Recently a 10-year population-based cohort study was conducted to evaluate effect of implementation of GAP program and reduction in stillbirths in UK.
Data of 6,561,560 births from 133 units in England was analyzed and still birth rates were calculated and compared between non-GAP (39 units or 29.3%), partial GAP (29 units or 21.8%) and Complete GAP (65 units or 48.9%) implementation units.
There was an overall reduction in the stillbirth rate from 5.11/1000 to 4.18/1000, with reduction in still birth rate among all the three groups.
However, the cross sectional comparison between the two group showed a 9% lower still birth rate among GAP units along with greater fall in stillbirth rate (24%) when compared to the than the non-GAP units.32
GAP program when adopted outside UK, in The Royal women's Hospital, Melbourne, resulted in doubled detection rate of SGA from 21% to 41% without increase in false positive rate.33
Similarly, results of another non-randomized, quasi controlled, pre and posttest designed study found doubling (24.8% to 50.6%) in detection rate of SGA after plotting serial FH on customized charts as an intervention.34
A prospective observational study to determine the diagnostic effectiveness of customized charts for identification of fetal growth patterns concluded that serial SFH measurements has a positive likelihood ratio of 4.7 for the detection of SGA.35
To date, all the published research demonstrating the effectiveness of GAP program are non-randomized, prospective cohorts, pre and post implementation designed.
Therefore, making it impossible to determine whether it's the diagnostic effectiveness of the customized chart alone or it's the GAP bundle comprising of staff education, training and change in protocol resulting in increased detection rate of SGA.
It is comprehensively established that the best evidence is derived by RCT and so is highlighted in the Cochrane review36.
To the best of investigators knowledge no randomized controlled trial has been published to compare the diagnostic effectiveness of serial standardized fundal height measurements on a customized chart with the conventional method.
This study would also help us to establish the role customized charts as a screening tool for detection of SGA especially in low resourced countries.
It can play a pivotal role, being in expensive, noninvasive for detection of SGA in developing countries with high perinatal morbidity and mortality.
Study Type
Interventional
Enrollment (Anticipated)
1000
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 Locations
-
-
Punjab
-
Lahore, Punjab, Pakistan, 54000
- Recruiting
- Fatima Memorial College of Medicine and Dentistry
-
Contact:
- Farhat Ulain Ahmed, FRCOG, FCPS,FACOG, MHPE
- Phone Number: +92 333422995
- Email: farhatulainahmed@yahoo.com
-
Contact:
- Fatima Ismail, MBBS, FCPS(1)
- Phone Number: 392 +92 42 111555600
- Email: drfatima_ismail@yahoo.com
-
Principal Investigator:
- Farhat ulain Ahmed, FRCOG, FCPS,FACOG, MHPE
-
Sub-Investigator:
- Fatima Ismail, MBBS, FCPS(1)
-
Sub-Investigator:
- Fatima Shah, MBBS, FCPS(1)
-
Sub-Investigator:
- Sharoon Hanook, PhD
-
-
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
19 years to 45 years (ADULT)
Accepts Healthy Volunteers
No
Genders Eligible for Study
Female
Description
Inclusion Criteria:
• low risk woman with singleton pregnancy.
Exclusion Criteria:
- Pregnant woman with chronic hypertension, Diabetes Mellitus, Autoimmune disorders
- Fetus with chromosomal
- Fetus with structural defects
- Multiple gestation
- Pregnancy with fibroids uterus
- BMI >35.
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: PARALLEL
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
NO_INTERVENTION: Control Group
The control group will continue with the standard practice of antenatal care using Mc Donald's rule for fundal heights measurements.
|
|
|
EXPERIMENTAL: Intervention Group
Intervention group will follow the same antenatal visit plan as the control group with the use of customised GROW Charts for fundal height measurements.
|
Intervention group will follow the same antenatal visit plan and two ultrasounds will be offered (NT 11-13+6 weeks & anomaly scan 19-22 weeks of gestation) in routine.
A third trimester scan will not be offered in routine to Intervention group.
Serial SFH measurements will be plotted against estimated date of delivery at each review from 26 weeks of gestation on the customized GROW chart already attached in the maternity notes.
On each visit patient will be examined after emptying bladder in a semi-recumbent position, using non-elastic tape with cm side hidden; measurement will be taken from the fundus to upper margin of pubic symphysis.
Abnormal SFH measurements, when plotted below the 10th or does not follow its trajectory on customized growth charts will be referred for growth scan suspecting SGA.
SFH plotted above 90th centile will also be referred for growth scan, as a part of antenatal care.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in detection rate of SGA in low risk women using GROW charts
Time Frame: 1.5 years
|
detection rate of Small for gestational age in control and intervention group
|
1.5 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in perinatal outcomes between control and Intervention group in low risk women.
Time Frame: 1.5 years
|
Gestational age at time of delivery (days)
|
1.5 years
|
|
Rate of Apgar score at the time of birth
Time Frame: 1.5 years
|
Apgar score (good or poor)
|
1.5 years
|
|
Rate of Type of labor in control and intervention group
Time Frame: 1.5 years
|
Labor type (spontaneous or induced)
|
1.5 years
|
|
Rate of mode of delivery in the control and Intervention group
Time Frame: 1.5 years
|
Mode of delivery (vaginal vs elective or emergency cesarean section)
|
1.5 years
|
|
Rate of newborns requiring hospital admissions for postnatal care
Time Frame: 1.5 years
|
Neonatal Intensive care admissions
|
1.5 years
|
|
Rate of neonatal death in control and Intervention group
Time Frame: 1.5 years
|
Neonatal Death
|
1.5 years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
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)
February 14, 2021
Primary Completion (ANTICIPATED)
July 15, 2022
Study Completion (ANTICIPATED)
July 15, 2022
Study Registration Dates
First Submitted
February 14, 2021
First Submitted That Met QC Criteria
February 17, 2021
First Posted (ACTUAL)
February 21, 2021
Study Record Updates
Last Update Posted (ACTUAL)
February 21, 2021
Last Update Submitted That Met QC Criteria
February 17, 2021
Last Verified
February 1, 2021
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- FMH01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
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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