Abstract

BackgroundThe ability of a preventive nutritional intervention to reduce the morbidity of gestational diabetes mellitus (GDM) remains controversial. We aim to assess whether GDM can be prevented by an individualised nutritional intervention in pregnant women who are at high risk for the disease based on a prediction model.Methods/designA multicentre randomised controlled trial was designed to assess the efficacy of an individualised nutritional intervention for the prevention of GDM in a high-risk population screened by a novel prediction model in the first trimester. Pregnant women evaluated to be at high risk for GDM by the prediction model at less than 14 gestational weeks will be included. Women with pre-existing chronic diseases, including pregestational diabetes, or who are currently prescribed medicines that affect glucose values will be excluded. Allocation to intervention/control at a ratio of 1:1 will be conducted by a computerized randomisation system. The intervention group will complete 3-day food records and receive 3 individualised nutritional consultations with professional dieticians before the oral glucose tolerance test. The primary intention of the intervention is to promote a long-term healthy dietary pattern and prevent excessive gestational weight gain throughout pregnancy. The control group will complete 3-day food records at designated gestational weeks and receive standard antenatal care according to local health care provisions. The primary outcome is the incidence of GDM according to the criteria of the International Association of Diabetes and Pregnancy Study Group (IADPSG). A sample of 464 participants will provide 80% power to detect a 30% reduction in GDM incidence (α = 0.05 two tailed, 10% dropout). A total of 500 participants will be recruited.DiscussionTo date, this is the first randomised controlled trial aimed to evaluate the protective effect of an individualised nutritional intervention against GDM based on a logistic regression prediction model. Eligibility is not limited to obese women or singleton pregnancies, as in previous studies. This pragmatic trial is expected to provide valuable information on early screening and effective GDM prevention methods.Trial registration numberChiCTR, ChiCTR1900026963. Registered 27 October 2019.

Highlights

  • The ability of a preventive nutritional intervention to reduce the morbidity of gestational diabetes mellitus (GDM) remains controversial

  • Zhang et al BMC Pregnancy and Childbirth (2021) 21:586. To date, this is the first randomised controlled trial aimed to evaluate the protective effect of an individualised nutritional intervention against GDM based on a logistic regression prediction model

  • We present a multicentre, open-label and parallel-group randomised study protocol to explore whether an individualised nutritional intervention can effectively reduce the prevalence of GDM in pregnant women who have been identified by a prediction model in the first trimester to be at high risk for the disease

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Summary

Discussion

The pathogenesis of gestational diabetes remains unclear due to the heterogeneity of the at-risk population and multiple risk factors, including individual lifestyles, special physiological environment preconception or during pregnancy, genetic susceptibility, etc. [40, 41]. Participants and practitioners will not be blinded to group allocation, which might introduce bias Another limitation that cannot be ruled out is that the control arm will still have access to general information on healthy eating, which might affect the outcomes. Despite these limitations, our study will determine whether a regular individualised nutritional intervention that is easy to implement in the 1st and 2nd trimesters before the OGTT is capable of reducing the incidence of GDM as well as composite adverse effects among high-risk populations. The findings of the study can be transferred to clinical practice rapidly, which will provide valuable information to improve guidelines on early screening and effective prevention methods of GDM

Background
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