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Gestational Diabetes MellitusSTRiDENCT03005600

Stratification of Risk of Diabetes in Early Pregnancy

An observational study of Gestational Diabetes Mellitus, run by University of Warwick at 2 sites in 2 countries.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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Trial summary

Hyperglycaemia in Pregnancy or Gestational Diabetes Mellitus (GDM) is one of the most common obstetric medical conditions which when undetected can cause significant adverse outcomes for the mother and the offspring. Diagnosis is typically made between 24-28 weeks of pregnancy using oral glucose tolerance test (OGTT). Read more about this study

Who is it for?
Ages 18 to 50 years, women onlyHealthy volunteers can take part
Conditions the study is for
Gestational Diabetes Mellitus
How many people
7,400 participants
Where
2 sitesin 2 countries
Study dates
Feb 2016to Jan 2019
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 50 years
  • Women only
  • Healthy volunteers accepted
  • Adult

Study population: The project will be set in and around Chennai (Tamil Nadu, South India) and Eldoret (Western Kenya). Two independent cohorts will be formed, comprising of 3400 and 4000 pregnant women in early pregnancy in India and Kenya, respectively.

Who may be able to join

  • All pregnant women between the age of 18 and 50 years of age

Who cannot join

  • Women presenting beyond 16 weeks of gestation Known Type 1 or Type 2 diabetes
  • Severe anaemia defined as haemoglobin (Hb) <8g/L and
  • Sickle cell traits, sickle cell anaemia and other genetic Hb variants
  • Women on Metformin therapy for anovulation and/or infertility

Trial locations and contacts

2 sites in 2 countries.

Ponnusamy Saravanan, FRCP PhD contact

00442476 153592

P.Saravanan@warwick.ac.uk

Deepa Mohan, PhD contact

00914443968888

deepa.mohan1@gmail.com

2 sites in 2 countries

India1 site, 1 recruiting
  • Madras Diabetes Research Foundation

    Chennai, Tamil Nadu, 600086

    Deepa Mohan, PhD, 00914443968888, deepa.mohan1@gamil.com

    Bhavadharini Balaji, PhD, 00914443968888, bhavadharini.balaji@gmail.com

    Recruiting

Other trials in India

Kenya1 site, 1 recruiting
  • Moi University School of Medicine & Teaching and Referral Hospital

    Eldoret

    Sonak Pastakia, DPharm MPH, 00254729027569, spastaki@gmail.com

    Wycliffe Kosgei, MBBS, MMed, 00254723758638, wycliffe.kosgei@gmail.com

    Recruiting

Other trials in Kenya

About this study

Hyperglycaemia in Pregnancy or Gestational Diabetes Mellitus (GDM) is one of the most common obstetric medical conditions which when undetected can cause significant adverse outcomes for the mother and the offspring. Diagnosis is typically made between 24-28 weeks of pregnancy using oral glucose tolerance test (OGTT). Therefore, some damage might have already happened prior to detection. Although universal screening is recommended by many guidelines, this is not uniformly followed across the world, partly because of doubts about cost-effectiveness. Only selective screening is followed based on presence of at least one of the high risk factors (age, BMI, previous history, etc). This strategy can miss up to 50% of GDM. In addition, no data exists in India and Kenya. In low and middle-income countries (LMICs), where majority live in rural settings, the major limitations are difficulty in conducting OGTT, which requires prompt access to laboratory facilities. Combining the clinical and easily analysable biochemical markers (composite risk score) could improve the prediction and if proven, could help to prevent the onset of GDM. Fasting glucose levels (at non-diabetes levels) in early pregnancy could predict future GDM. HbA1c in early pregnancy can be a better marker as it can be done point-of-care and does not require patients to be in a fasting state. The overall objective of the proposed project is to develop a composite risk score to predict GDM in early pregnancy using a combination of easily identifiable risk factors such as age, BMI, family history of Type 2 Diabetes along with HbA1c in Indians and Kenyans. The project will recruit pregnant women in early pregnancy from South India (n=3400) and Western Kenya (n=4000). Contribution of individual risk factors as well as the composite risk score on the risk of developing GDM will be assessed. Detailed health economic analyses will enable policy makers to make informed decision based on local data.

Read the detailed description

High glucose level in Pregnancy or Gestational Diabetes Mellitus (GDM) is one of the most common medical conditions during pregnancy. When undetected, it can cause significant harm for the pregnant women and her offspring. GDM can affect 5-25% of all pregnant women. It depends on the population and where the boundary is drawn between normal and abnormal glucose levels.

Certain ethnic minority groups are considered at high-risk for developing GDM, including Indians. It is estimated >15% of pregnancies are affected by GDM in India. The immediate risks of untreated GDM are high rates of pre-eclampsia, higher caesarean section rates and psychological effects such as anxiety and depression. Women who develop GDM have a 7-8 times higher life-time risk of type 2 diabetes (T2D). Similarly, the immediate risks to the children are being too big or too small, shoulder damage during labour, low glucose levels or jaundice at birth, difficulty in breathing and in rare cases stillbirth. In the long term, the risk of obesity and T2D is also higher.

The diagnosis of GDM is usually made between 24-28 weeks of pregnancy using a glucose drink test called oral glucose tolerance test (OGTT). Although treatment can improve the outcomes, some of the damage may have already been done before the detection of GDM. Therefore, screening to detect high glucose level in pregnancy seems beneficial. However, there can be harms as well as benefits in screening programmes. Therefore a balance should be achieved between identifying women whose blood glucose level is high enough to cause harm and those with glucose level that would not cause harm. Currently, it is recommended that all pregnant women should be screened for GDM if they belong to a high-risk ethnic population. However, conducting OGTT in India is challenging, as this test requires pregnant women present themselves to a laboratory facility in a fasting state.

In many countries, women are selected for OGTT based on the presence of at least one of the high risk factors such as higher body weight, older age and family history of T2D. However, this selection method can miss up to 50% of women who may develop GDM. The aim of the study is to develop a risk score in early pregnancy based on a combination of these risk factors that can be collected easily along with a simple finger prick average blood glucose test (called HbA1c). The efficiency of different levels of this combined risk score will be tested against the risk of developing GDM in the later part of pregnancy.

Cost effectiveness analysis will also be conducted to identify at what risk level screening can be recommended in India. An accurate score that can safely exclude women at low risk of developing GDM will have significant benefits to the pregnant women. They can be safely reassured. Avoiding the need for OGTT will have significant time and cost benefits. In contrast, if the score identifies them as at high-risk, healthy eating and appropriate life style advice can reduce their risk of developing GDM in later pregnancy.

Keywords
Screening, diagnosis, risk stratification, ethnic
Medical subject headings
Diabetes, Gestational, Disease

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

Study groups in NCT03005600
Study groupRoleWhat they receive
Asian IndianRecruitment to the Indian cohort will be carried out in urban areas of Chennai and be coordinated from Madras Diabetes Research Foundation (MDRF). As a part of their routine care, all pregnant women will undergo regular blood tests at presentation, a dating scan if the last menstrual period is unknown and an ultrasound at 20 weeks of pregnancy for foetal anomalies. 3400 pregnant women in early pregnancy will be studied in this cohort.
AfricanRecruitment to the Kenyan cohort will be based and coordinated from Moi Teaching and Referral hospital (MTRH). The bulk of the recruitment will happen at MTRH with significant contribution from Usain Gisu District hospital (UGDH) and Medi-Heal. 4000 pregnant women in early pregnancy will be studied in this cohort.

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Development and validation of composite risk score for GDM with the risk factors of interest and/or point-of-care HbA1c

    Measured: 3 YEARS

Secondary outcomes (1)
  1. Identification and the impact of other novel risk factors on the diagnosis of GDM and other adverse maternal outcomes

    Measured: 3 YEARS

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted29 Dec 2016 (estimated)
  2. Study startFeb 2016
  3. Primary completionJul 2018 (estimated)
  4. Study completionJan 2019 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
7,400 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT03005600
Sponsor's protocol ID
MRMV0135
Acronym
STRiDE
Status last verified
Dec 2016
First submitted
22 Dec 2016
Last updated
30 Dec 2016
Results posted
No
Data monitoring committee
No
Individual data sharing
Yes: Metadata will be archived following the publication of the study findings as per MRC UK's guidelines

Questions about this trial

What is this clinical trial studying?

An observational study of Gestational Diabetes Mellitus, run by University of Warwick at 2 sites in 2 countries.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 1 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 30 Dec 2016. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 2 sites in India, Kenya. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

Contact Ponnusamy Saravanan, FRCP PhD (00442476 153592, P.Saravanan@warwick.ac.uk), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Development and validation of composite risk score for GDM with the risk factors of interest and/or point-of-care HbA1c (time frame: 3 YEARS). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 30 Dec 2016.

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