Fidelma Dunne1,2, Robert Lindsay2,3, Mary Loeken2,4. 1. National University of Ireland, Galway, Ireland. 2. International Association of Diabetic Pregnancy Study Groups (IADPSG), Ireland. 3. University of Glasgow, Glasgow, Scotland. 4. Joslin Diabetes Center and Harvard Medical School, Boston, MA, USA.
The most common complication of pregnancy is diabetes. It is estimated that one
in six pregnancies are affected (16.6%), with 84% of diabetic pregnancies being affected
by gestational diabetes mellitus (GDM).[1] More than 15 years ago, the evidence was clear that treatment of
even mild GDM had beneficial effects on both maternal and neonatal outcomes.[2] These findings were instrumental in
encouraging clinicians to offer detection and intervention for GDM. The evidence is also
accumulating linking maternal GDM with future disorders of maternal glucose metabolism
and of increased childhood adiposity.[3,4] Identifying women with GDM is thus
important for the health of the mother and infant in the index pregnancy but also for
their future health to prevent non-communicable diseases.The Hyperglycaemia and Adverse Pregnancy Outcomes study was a blinded
observational study of 23,316 women from 15 centres in nine countries across five
continents tested for glucose tolerance at 24–32 weeks. A continuous positive
relationship was found between the fasting, 1- and 2-h glucose measurements and birth
weight >90th percentile, cord C-peptide >90th percentile and percentage
body fat >90th percentile.[5] The
IADPSG criteria for GDM screening were calculated based on an adjusted odds ratio of
1.75 for these events.[6] These criteria
are supported for use by many organizations including the WHO,[7] American Diabetes Association,[8] International Federation of Gynaecology and
Obstetrics, European Board and College of Obstetrics and Gynaecology, European
Association for Perinatal Medicine, Australasian Diabetes in Pregnancy Society and
International Diabetes Federation. The WHO recommends a one-step approach to screening
as women with a positive glucose challenge test frequently do not attend for a glucose
tolerance test. In addition, a GDM diagnosis is based on one abnormal value in contrast
to two abnormal values required by the Carpenter and Coustan (CC) criteria. There is
considerable evidence in the literature that when using the latter test, one abnormal
value on the test confers an increased risk of adverse pregnancy outcomes when compared
to a test where all values are normal. Nevertheless, considerable controversies remain
for GDM diagnosis with some countries advising use of National Institute of Health and
Care Excellence criteria or CC criteria[9] while others such as India and Canada devising their own
population-based criteria.The International Association of Diabetes and Pregnancy Study Groups (IADPSG)
community was interested to read the recently conducted large pragmatic randomized
controlled trial (RCT) by Hillier and colleagues of GDM screening, comparing a one-step
approach using IADPSG criteria to a two-step approach using CC criteria. We congratulate
the authors on this large pragmatic trial in a high-risk population and acknowledge the
efforts required to complete such a trial. The trial concluded that there were no
significant differences between approaches in the risks of the primary perinatal and
maternal outcomes but importantly with a smaller proportion of women diagnosed as
GDM.[10] We welcome additional
RCTs in the field and note that this is the first large RCT to randomize between these
strategies. Nevertheless, the results may be difficult to interpret and raise some
questions: First, many women (33%) failed to proceed with their randomized one-step
approach. The randomization component of an RCT is done in order to control for
unmeasured variables and reduce bias. The authors acknowledge that this difference in
randomization was not random, with different characteristics in patients/providers
opting in and out of assigned randomization.[11] This may have influenced the final trial outcome. If provider
bias was present at randomization, could it also have influenced
treatment—particularly in those who fulfilled one-step but not the two-step
approach? Second, first-trimester screening of obese and ‘high-risk’ women
was implemented with over 3000 women in each study arm screened.[11] Agreement on whether or how risk for GDM can be
diagnosed in first-trimester GDM is lacking[12] and this questions whether inclusion of this group may have
influenced trial findings. Taken together we wonder whether, in a field where providers
may hold strong views on the efficacy of one or other approach, blinding, as far as
possible, would have been necessary to eliminate these possible biases. Finally, there
was no black representation in this trial and just 15%–16% Medicaid
recipients.Another recently published article is also critical of current screening
practices and argues that an international multicentre trial of treatment rather than
screening is warranted using IADPSG criteria as a basis for patient selection.[13] The authors suggest that the trial
should incorporate cost-benefit, cost-effectiveness and cost-utility analyses. We
believe that with the correct trial design including blinding to eliminate bias, many
questions regarding screening, treatment benefits and long-term maternal and offspring
health could be examined simultaneously. In design of such studies, randomizing patients
away from usual practice is often seen as an ethical issue. However, given the variety
of practices internationally and the equipoise that exists we believe such blinded
studies will be the only way to move forward. In addition, new technologies such as
continuous glucose monitoring could be included to examine a more user-friendly approach
to screening and a biobank could be incorporated to explore alternative biomarkers for
GDM diagnosis. It would be important for the future applicability of any proposed trial
that participants are multi-institutional and multinational. With the launch of the
Horizon Europe Health Programme, now is the time to work collectively to design and
deliver such a trial to address unanswered questions around GDM.The IADPSG's interest in GDM has long been in promoting evidence-based
practice for detection of metabolic disease in pregnancy. Ironically, while the
controversy around criteria has raged, there has been worsening of underlying metabolic
health in the pregnant population as measured in prevalent type 2 diabetes, newly
discovered type 2 diabetes and obesity during pregnancy. Add to this the concerns over
intergenerational effects of maternal hyperglycaemia. Thus, there is no debate on the
urgency of the problem. Promoting women's health in preparation for and during
pregnancy should be our priority. This includes screening for and treating GDM. Rather
than procrastinating further, let us work together to find the solutions.
Authors: Kathryn L Pedula; Teresa A Hillier; Keith K Ogasawara; Kimberly K Vesco; Suzanne Lubarsky; Caryn E S Oshiro; Jan VanMarter Journal: Contemp Clin Trials Date: 2019-08-16 Impact factor: 2.226
Authors: Boyd E Metzger; Steven G Gabbe; Bengt Persson; Thomas A Buchanan; Patrick A Catalano; Peter Damm; Alan R Dyer; Alberto de Leiva; Moshe Hod; John L Kitzmiler; Lynn P Lowe; H David McIntyre; Jeremy J N Oats; Yasue Omori; Maria Ines Schmidt Journal: Diabetes Care Date: 2010-03 Impact factor: 17.152
Authors: Caroline A Crowther; Janet E Hiller; John R Moss; Andrew J McPhee; William S Jeffries; Jeffrey S Robinson Journal: N Engl J Med Date: 2005-06-12 Impact factor: 91.245
Authors: K Ogurtsova; J D da Rocha Fernandes; Y Huang; U Linnenkamp; L Guariguata; N H Cho; D Cavan; J E Shaw; L E Makaroff Journal: Diabetes Res Clin Pract Date: 2017-03-31 Impact factor: 5.602
Authors: Boyd E Metzger; Lynn P Lowe; Alan R Dyer; Elisabeth R Trimble; Udom Chaovarindr; Donald R Coustan; David R Hadden; David R McCance; Moshe Hod; Harold David McIntyre; Jeremy J N Oats; Bengt Persson; Michael S Rogers; David A Sacks Journal: N Engl J Med Date: 2008-05-08 Impact factor: 91.245
Authors: William L Lowe; Denise M Scholtens; Lynn P Lowe; Alan Kuang; Michael Nodzenski; Octavious Talbot; Patrick M Catalano; Barbara Linder; Wendy J Brickman; Peter Clayton; Chaicharn Deerochanawong; Jill Hamilton; Jami L Josefson; Michele Lashley; Jean M Lawrence; Yael Lebenthal; Ronald Ma; Michael Maresh; David McCance; Wing Hung Tam; David A Sacks; Alan R Dyer; Boyd E Metzger Journal: JAMA Date: 2018-09-11 Impact factor: 56.272
Authors: Jami L Josefson; Denise M Scholtens; Alan Kuang; Patrick M Catalano; Lynn P Lowe; Alan R Dyer; Lucia C Petito; William L Lowe; Boyd E Metzger Journal: Diabetes Care Date: 2021-02-22 Impact factor: 19.112
Authors: Teresa A Hillier; Kathryn L Pedula; Keith K Ogasawara; Kimberly K Vesco; Caryn E S Oshiro; Suzanne L Lubarsky; Jan Van Marter Journal: N Engl J Med Date: 2021-03-11 Impact factor: 176.079
Authors: Teresa A Hillier; Kathryn L Pedula; Keith K Ogasawara; Kimberly K Vesco; Caryn E S Oshiro; Suzanne L Lubarsky; Jan Van Marter Journal: Am J Obstet Gynecol Date: 2021-08-09 Impact factor: 10.693