Women in India with Gestational Diabetes Mellitus Strategy (WINGS): Methodology and development of model of care for gestational diabetes mellitus (WINGS 4).

AIM: The Women In India with GDM Strategy (WINGS) project was conducted with the aim of developing a model of care (MOC) suitable for women with gestational diabetes mellitus (GDM) in low- and middle-income countries. METHODOLOGY: The WINGS project was carried out in Chennai, Southern India, in two phases. In Phase I, a situational analysis was conducted to understand the practice patterns of health-care professionals and to determine the best screening criteria through a pilot screening study. RESULTS: Phase II involved developing a MOC-based on findings from the situational analysis and evaluating its effectiveness. The model focused on diagnosis, management, and follow-up of women with GDM who were followed prospectively throughout their pregnancy. An educational booklet was provided to all women with GDM, offering guidance on self-management of GDM including sample meal plans and physical activity tips. A pedometer was provided to all women to monitor step count. Medical nutrition therapy (MNT) was the first line of treatment given to women with GDM. Women were advised to undergo fasting blood glucose and postprandial blood glucose testing every fortnight. Insulin was indicated when the target blood glucose levels were not achieved with MNT. Women were evaluated for pregnancy outcomes and postpartum glucose tolerance status. CONCLUSIONS: The WINGS MOC offers a comprehensive package at every level of care for women with GDM. If successful, this MOC will be scaled up to other resource-constrained settings with the hope of improving lives of women with GDM.

Comparison of maternal and fetal outcomes among Asian Indian pregnant women with or without gestational diabetes mellitus: A situational analysis study (WINGS-3).

AIM: To compare the existing maternal and fetal outcomes in Asian Indian women with or without gestational diabetes mellitus (GDM) before the development of the Women in India with GDM Strategy (WINGS) GDM model of care (MOC). MATERIALS AND METHODS: Records of pregnant women were extracted retrospectively from three maternity centers in Chennai. GDM was diagnosed using the International Association for Pregnancy Study Groups criteria or the Carpenter and Coustan criteria. Demographic details, obstetric history, antenatal follow-up, treatment for GDM, and outcomes of delivery were collected from the electronic medical records. RESULTS: Of the 3642 records analyzed, 799 (21.9%) had GDM, of whom 456 (57.1%) were treated with insulin and medical nutrition therapy (MNT), 339 (42.4%) with MNT alone, and 4 (0.5%) with metformin. Women with GDM were older than those without (28.5 ± 4.5 vs. 27.1 ± 4.5 years; P < 0.001) and had higher mean body mass index at first booking (26.4 ± 5.2 kg/m(2) vs. 25.2 ± 5.1 kg/m(2); P < 0.001). Rates of cesarean section (26.2% vs. 18.7%; P < 0.001), preeclampsia (1.8% vs. 0.8%; P = 0.04), and macrosomia (13.9% vs. 10.8%; P = 0.02) were significantly higher among women with GDM. In women with GDM treated with insulin and MNT, emergency cesarean section (16.2% vs. 36.6%; P < 0.0001), preeclampsia (0.7% vs. 3.2%; P = 0.015), and macrosomia (9.9% vs. 18.6%; P = 0.0006) were significantly lesser compared to those treated with MNT alone. CONCLUSION: Pregnancy outcomes were in general worse in GDM women. Treatment with insulin was associated with a significantly lower risk of complications. However, in countries with limited access to insulin and other medicines may lead to poor follow-up and management of GDM. Data from this retrospective study will form the basis for the development of the WINGS GDM MOC, which will address these gaps in GDM care in low-resource settings.

Physical activity patterns and gestational diabetes outcomes - The wings project.

OBJECTIVE: To compare physical activity (PA) patterns in pregnant woman with and without gestational diabetes (GDM) and to assess the effects of an exercise intervention on change in PA patterns, blood glucose levels and pregnancy outcomes in GDM women. METHODS: For the first objective, PA patterns were studied in 795 pregnant women with and without GDM. For the second objective, the Women in India with Gestational Diabetes Strategy-Model of Care (WINGS-MOC) intervention were evaluated in 151 women out of 189 with GDM. PA was assessed using a validated questionnaire and a pedometer. Changes in PA patterns, glycemic parameters and neonatal outcomes were evaluated. RESULTS: Overall, only 10% of pregnant women performed recommended levels of PA. Women with GDM were significantly more sedentary compared to those without GDM (86.2 vs. 61.2%, p<0.001). After the MOC was implemented in women with GDM, there was a significant improvement in PA and a decrease in sedentary behaviour amongst women (before MOC, moderate activity: 15.2%, sedentary: 84.8% vs. after MOC-moderate: 26.5%, sedentary: 73.5%; p<0.001), and an increase in their daily step count from 2206/day to 2476/day (p<0.001). Fasting 1 and 2-h postprandial glucose values significantly decreased (p<0.001 for all). Sedentary behaviour was associated with a fourfold higher risk (p=0.02), and recreational walking with 70% decreased risk, of adverse neonatal outcomes (p=0.04) after adjusting for potential confounders. CONCLUSIONS: PA levels are inadequate amongst this group of pregnant women studied i.e. those with and without GDM. However, a low-cost, culturally appropriate MOC can bring about significant improvements in PA in women with GDM. These changes are associated with improved glycemic control and reduction in adverse neonatal outcomes.

Glucose tolerance status of Asian Indian women with gestational diabetes at 6weeks to 1year postpartum (WINGS-7).

AIM: To determine postpartum glucose tolerance status among women with gestational diabetes mellitus (GDM) recruited under the Women In India with GDM Strategy (WINGS) Model of Care (MOC). METHODS: Through the WINGS MOC programme, 212 women with GDM were followed till delivery between November 2013 and August 2015. All women were advised to return for a postpartum oral glucose tolerance test (OGTT) 6-12weeks after delivery. A multivariate logistic regression (MLR) model was developed to identify the risk factors for postpartum dysglycemia which was defined as presence of diabetes (DM) or prediabetes. RESULTS: 203/212(95.8%) women completed their postpartum OGTT. Of the 161 women (79.3%) who came back for the test between 6 and 12weeks, 2(1.2%) developed DM, 5(3.1%), isolated IFG, 13(8.1%), isolated IGT and 5(3.1%) combined IFG/IGT [dysglycemia 25(15.5%)]. 136 women (84.5%) reverted to normal glucose tolerance (NGT). Of the 42 women who came back between 12weeks and a year, 5(11.9%) developed DM, 10(23.8%), isolated IFG and 1(2.4%) combined IFG/IGT [dysglycemia 16(38.1%)]. 26/42 women (61.9%) reverted to NGT. Thus overall dysglycemia occurred in 41/203 women (20.2%). MLR showed that BMI ⩾25kg/m(2) was significantly associated with postpartum dysglycemia (odds ratio: 4.47; 95% confidence interval: 1.8-11.2, p=0.001). CONCLUSION: Among Asian Indian women with GDM, over 20% develop dysglycemia within one year postpartum, and BMI ⩾25kg/m(2) increased this risk four-fold. Early postpartum screening can identify high risk women and help plan strategies for prevention of type 2 diabetes in the future.

Current practices in the diagnosis and management of gestational diabetes mellitus in India (WINGS-5).

AIM: To obtain information on existing practices in the diagnosis and management of gestational diabetes mellitus (GDM) among physicians/diabetologists/endocrinologists and obstetricians/gynecologists (OB/GYNs) in India. METHODS: Details regarding diagnostic criteria used, screening methods, management strategies, and the postpartum follow-up of GDM were obtained from physicians/diabetologists/endocrinologists and OB/GYNs across 24 states of India using online/in-person surveys using a structured questionnaire. RESULTS: A total of 3841 doctors participated in the survey of whom 68.6% worked in private clinics. Majority of OB/GYNs (84.9%) preferred universal screening for GDM, and screening in the first trimester was performed by 67% of them. Among the OB/GYNs, 600 (36.7%) reported using the nonfasting 2 h criteria for diagnosing GDM whereas 560 (29.4%) of the diabetologists/endocrinologists reported using the same. However, further questioning on the type of blood sample collected and the glucose load used revealed that, in reality, only 208 (12.7%) and 72 (3.8%), respectively, used these criteria properly. The survey also revealed that the International Association of Diabetes and Pregnancy Study Groups criteria was followed properly by 299 (18.3%) of OB/GYNs and 376 (19.7%) of physicians/diabetologists/endocrinologists. Postpartum oral glucose tolerance testing was advised by 56% of diabetologists and 71.6% of OB/GYNs. CONCLUSION: More than half of the physicians/diabetologists/endocrinologists and OB/GYNs in India do not follow any of the recommended guidelines for the diagnosis of GDM. This emphasizes the need for increased awareness about screening and diagnosis of GDM both among physicians/diabetologists/endocrinologists and OB/GYNs in India.

Use of capillary blood glucose for screening for gestational diabetes mellitus in resource-constrained settings.

AIMS: The aim of the study was to evaluate usefulness of capillary blood glucose (CBG) for diagnosis of gestational diabetes mellitus (GDM) in resource-constrained settings where venous plasma glucose (VPG) estimations may be impossible. METHODS: Consecutive pregnant women (n = 1031) attending antenatal clinics in southern India underwent 75-g oral glucose tolerance test (OGTT). Fasting, 1- and 2-h VPG (AU2700 Beckman, Fullerton, CA) and CBG (One Touch Ultra-II, LifeScan) were simultaneously measured. Sensitivity and specificity were estimated for different CBG cut points using the International Association of Diabetes in Pregnancy Study Groups (IADPSG) criteria for the diagnosis of GDM as gold standard. Bland-Altman plots were drawn to look at the agreement between CBG and VPG. Correlation and regression equation analysis were also derived for CBG values. RESULTS: Pearson's correlation between VPG and CBG for fasting was r = 0.433 [intraclass correlation coefficient (ICC) = 0.596, p < 0.001], for 1H, it was r = 0.653 (ICC = 0.776, p < 0.001), and for 2H, r = 0.784 (ICC = 0.834, p < 0.001). Comparing a single CBG 2-h cut point of 140 mg/dl (7.8 mmol/l) with the IADPSG criteria, the sensitivity and specificity were 62.3 and 80.7 %, respectively. If CBG cut points of 120 mg/dl (6.6 mmol/l) or 110 mg/dl (6.1 mmol/l) were used, the sensitivity improves to 78.3 and 92.5 %, respectively. CONCLUSIONS: In settings where VPG estimations are not possible, CBG can be used as an initial screening test for GDM, using lower 2H CBG cut points to maximize the sensitivity. Those who screen positive can be referred to higher centers for definitive testing, using VPG.

Prevalence of Gestational Diabetes Mellitus in urban and rural Tamil Nadu using IADPSG and WHO 1999 criteria (WINGS 6).

BACKGROUND: To determine the prevalence of Gestational Diabetes Mellitus (GDM) in urban and rural Tamil Nadu in southern India, using the International Association of Diabetes and Pregnancy Study Groups (IADPSG) and the World Health Organization (WHO) 1999 criteria for GDM. METHODS: A total of 2121 pregnant women were screened for GDM from antenatal clinics in government primary health centres of Kancheepuram district (n = 520) and private maternity centres in Chennai city in Tamil Nadu (n = 1601) between January 2013 to December 2014. Oral glucose tolerance tests (OGTT) were done after an overnight fast of at least 8 h, using a 75 g glucose load and venous samples were drawn at 0, 1 and 2 h. GDM was diagnosed using both the IADPSG criteria as well as the WHO 1999 criteria for GDM. RESULTS: The overall prevalence of GDM after adjusting for age, BMI, family history of diabetes and previous history of GDM was 18.5 % by IADPSG criteria with no significant urban/rural differences (urban 19.8 % vs rural 16.1 %, p = 0.46). Using the WHO 1999 criteria, the overall adjusted prevalence of GDM was 14.6 % again with no significant urban/rural differences (urban 15.9 % vs rural 8.9 %, p = 0.13). CONCLUSION: The prevalence of GDM by IADPSG was high both using IADPSG as well as WHO 1999 criteria with no significant urban/rural differences. This emphasizes the need for increasing awareness about GDM and for prevention of GDM in developing countries like India.

Association of Soluble (Pro) Renin Receptor with Gestational Diabetes Mellitus.

OBJECTIVE: There is a need to identify biomarkers for gestational diabetes mellitus (GDM). Recently the soluble pro-renin receptor (s[Pro]RR) has been shown to be associated with GDM. We investigated the association of s(Pro) RR levels in Asian Indians with GDM. METHODS: We recruited 222 pregnant females, 147 without GDM (non-GDM) and 75 with GDM visiting antenatal clinics in Tamilnadu in South India. We included singleton pregnancy and excluded those with pre-existing diabetes mellitus or hypertension. Oral glucose tolerance tests (OGTTs) were performed, and GDM was diagnosed using the International Association of Diabetes and Pregnancy Study Group criteria. s(Pro)RR was measured by enzyme-linked immunosorbent assay (ELISA). Receiver operating characteristic (ROC) curves were used to identify s(Pro) RR cut-off points to identify GDM. RESULTS: The mean levels of the s(Pro)RR were significantly higher in subjects with GDM (34.0 ± 12 ng/mL, P<.001) compared to non-GDM (21.4 ± 6.5 ng/mL). The proportions of subjects with GDM were 11 (15%) in the first tertile of s(Pro)RR (<19.61 ng/mL), 20 (27%) in the second (19.62-26.8 ng/mL), and 44 (59%) in the third tertile (>26.8 ng/mL). In multiple logistic regression analysis, s(Pro)RR showed a significant association with GDM (odds ratio [OR]: 1.201, 95% confidence interval [CI]: 1.065-1.355, P = .003) after adjusting for potential confounders. A s(Pro)RR cut-off of 23.3 ng/mL had a C statistic of 0.828 (95% CI: 0.738-0.918, P<.001), sensitivity of 68%, and specificity of 70% to identify GDM. CONCLUSIONS: s(Pro)RR levels are higher in females with GDM, and this could be used as a potential biomarker.

Comparison of screening for gestational diabetes mellitus by oral glucose tolerance tests done in the non-fasting (random) and fasting states.

AIM: The Diabetes in Pregnancy Study Group of India (DIPSI) guidelines recommend the non-fasting 75-g oral glucose tolerance test (OGTT) as a single-step screening and diagnostic test for gestational diabetes mellitus (GDM). The aim of this study was to compare the DIPSI criteria with the World Health Organization (WHO) 1999 and the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria for GDM. METHODS: A total of 1,031 pregnant women attending antenatal clinics in urban and rural Tamil Nadu, India, underwent a 75-g OGTT in both non-fasting and fasting states, 2-3 days apart. Venous plasma glucose was measured using an autoanalyser, and GDM was diagnosed by DIPSI, WHO 1999 and IADPSG criteria. RESULTS: Of the 83 women identified to have GDM by WHO 1999 criteria, only 23 were diagnosed by DIPSI criteria. Of the 106 women diagnosed to have GDM by the IADPSG criteria, only 24 were diagnosed by DIPSI. The DIPSI non-fasting OGTT 2-h VPG cut point of 140 mg/dl (7.8 mmol/l) had a very low sensitivity when compared to the WHO 1999 criteria (sensitivity 27.7 %, specificity 97.7 %) and IADPSG criteria (sensitivity 22.6 %, specificity 97.8 %). CONCLUSIONS: The DIPSI non-fasting OGTT criteria cannot be recommended for diagnosis of GDM due to its low sensitivity. Thus, as a single-step diagnostic test for GDM, the fasting OGTT needs to be done. When this is not possible, the well-established two-step procedure using the 50-g glucose challenge test as an initial screening test, followed by the diagnostic fasting OGTT, can be continued.

Comparison of the world health organization and the International association of diabetes and pregnancy study groups criteria in diagnosing gestational diabetes mellitus in South Indians.

AIM: We aimed to compare the International Association of Diabetes and Pregnancy Study Groups (IADPSG) and the World Health Organization (WHO) criteria to diagnose gestational diabetes mellitus (GDM) in Chennai, India. MATERIALS AND METHODS: We reviewed the retrospective data of 1351 pregnant women who underwent screening for GDM at four selected diabetes centers at Chennai (three private and one government). All women underwent an oral glucose tolerance test using 75g glucose load and fasting, 1-h, and 2-h samples were collected. The IADPSG and WHO criteria were compared for diagnosis of GDM. RESULTS: A total of 839 women had GDM by either the IADPSG or the WHO criteria, of whom the IADPSG criteria identified 699 and the WHO criteria also identified 699 women as having GDM. However, only 599/839 women (66.6%) were identified by both criteria. Thus, 140/839 women (16.7%) were missed by both the IADPSG and the WHO criteria. 687/699 (98.2%) of the women with GDM were identified by the WHO criteria. In contrast, each value of IADPSG criteria i.e., fasting, 1 h, and 2 h identified only 12.5%, 14%, and 22%, respectively. CONCLUSIONS: A single WHO cut-point of 2 h > 140 mg/dl appears to be suitable for large-scale screening for GDM in India and other developing countries.