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

The epidemiology of gestational diabetes, gestation hypertension, and anemia in North Palestine from 2018 to 2020: A retrospective study

BACKGROUND

In Palestine, women face a challenging environment and a demanding lifestyle, which puts them at a higher risk of experiencing complications during pregnancy. This study aimed to examine the risk factors linked with abnormal hemoglobin (Hb) levels, gestational diabetes (GD), and gestational hypertension (GH) among pregnant women. The results was compared between women residing in cities or villages areas and those in refugee camps.

METHODS

Medical records (N = 7889) for pregnant women at primary healthcare centers in the North West Bank were reviewed for sociodemographic and medical data along with the reported fasting blood sugar, hemoglobin, and blood pressure in the first and second trimesters from July 2018 to July 2020. However, only 6640 were included in the analysis as 1249 were excluded for having multiple pregnancy or lost to follow up. Complications and risk factors were defined according to the available global guidelines. Then, descriptive analysis was used to show the percentages of different risk factors and complications among them. The correlation between the several characteristics and variables with these complications was assessed by calculating the odds ratios (OR) using logistic regression. P-values of <0.05 were considered significant.

RESULTS

The prevalence of adolescent pregnancy was the highest among women living in rural areas (9.8%) and grand multigravidity among refugee women (22%). The overall prevalence of anemia was higher in the second-trimester (16.2%) than in the first-trimester (11.2%), with anemic women in the first-trimester being more likely to be anemic in the second-trimester (OR = 8.223, P-value<0.001). Although anemia was less common in the first-trimester among refugees than among women living in urban areas (OR = 0.768, P-value = 0.006), it was more prevalent in the second-trimester (OR = 1.352, P-value<0.001). Moreover, refugee women were at lower risk than women living in urban areas of having GD (OR = 0.687, P-value<0.001) and diabetes mellitus (OR = 0.472, P-value<0.001) in the second-trimester. GH was associated with GD (OR = 1.401, P-value = 0.003) and DM (OR = 1.966, P-value<0.001).

CONCLUSION

The findings of this study provide evidence-based data on the considerable prevalence of pregnancy complications, anemia, GD, and GH among Palestinian pregnant women living in the north of the West Bank. Multi gravida, gestational age, Hb levels, and the type of settings were strong predictors of pregnancy complications. Therefore, a national plan is needed to ensure adequate maternal care for all, especially disadvantaged women, those in rural areas and refugee camps.

Prevalence and determinants of gestational diabetes mellitus among pregnant women in India: an analysis of National Family Health Survey Data

BACKGROUND

Gestational diabetes mellitus (GDM) is a type of diabetes with its first recognition during pregnancy. GDM is a high-risk maternal and neonatal condition which increases the risk of Type 2 diabetes in mothers and their infants. It is essential to detect and treat GDM since its inception when mothers suffer from Type 1 diabetes while carrying the foetus during the gestational period.

METHODS

The study analysed individual data from the National Family Health Survey (NFHS) surveyed in 2015-2016 (4th round) and 2019-2021 (5th round) covering a total of approximately 6 lakhs and 7 lakhs women, respectively. Among them, 32,072 women in 2015-2016 and 28,187 in 2019-2021 were pregnant, of whom 180 women in 2014-2015 and 247 women in 2019-2021 had diabetes during their gestational periods, allowing the percentage prevalence calculation of GDM. The analysis of Poisson regression estimates examined the socioeconomic and demographic risk factors for GDM among pregnant women.

RESULTS

The overall prevalence of GDM in women showed an increase from 0.53% in 2015-16 to 0.80% in 2019-20 at the national level, and a similar increase in many states of India was witnessed, with a few exceptions. The GDM prevalence has shown a gradient over age, with a low prevalence in 15-19- and 25-29-year-olds and the highest prevalence in 40-44-year-olds. Concerning the rural and urban divide, its prevalence in both urban and rural areas has increased from 0.61 to 0.85% and 0.51 to 0.78% between 2015 and 16 and 2019-21. The results of the Poisson regression analysis reveal that older adults with high Body Mass Index (BMI), thyroid disorder, and heart disease have a greater risk of GDM among pregnant women in India. The states of Kerala, Meghalaya, and Goa show a high prevalence of GDM.

CONCLUSION

The low prevalence of GDM may not be clinically significant but has negative repercussions on the mother and her child cannot be overlooked. Thus, it is essential to curb GDM since its inception and save a generation ahead from the risk of diabetes and other diseases.

National and regional prevalence of gestational diabetes mellitus in India: a systematic review and Meta-analysis

BACKGROUND

Gestational diabetes mellitus (GDM) is frequently misdiagnosed during pregnancy. There is an abundance of evidence, but little is known regarding the regional prevalence estimates of GDM in India. This systematic review and meta-analysis aims to provide valuable insights into the national and regional prevalence of GDM among pregnant women in India.

METHODS

We conducted an initial article search on PubMed, Scopus, Google Scholar, and ShodhGanga searches to identify quantitative research papers (database inception till 15th June,2022). This review included prevalence studies that estimated the occurrence of GDM across different states in India.

RESULTS

Two independent reviewers completed the screening of 2393 articles, resulting in the identification of 110 articles that met the inclusion criteria, which collectively provided 117 prevalence estimates. Using a pooled estimate calculation (with an Inverse square heterogeneity model), the pooled prevalence of GDM in pregnant women was estimated to be 13%, with a 95% confidence interval (CI) ranging from 9 to 16%.. In India, Diabetes in Pregnancy Study of India (DIPSI) was the most common diagnostic criteria used, followed by International Association of Diabetes and Pregnancy Study Groups (IADPSG) and World Health Organization (WHO) 1999. It was observed that the rural population has slightly less prevalence of GDM at 10.0% [6.0-13.0%, I2=96%] when compared to the urban population where the prevalence of GDM was 12.0% [9.0-16.0%, I2 = 99%].

CONCLUSIONS

This review emphasizes the lack of consensus in screening and diagnosing gestational diabetes mellitus (GDM), leading to varied prevalence rates across Indian states. It thoroughly examines the controversies regarding GDM screening by analyzing population characteristics, geographic variations, diagnostic criteria agreement, screening timing, fasting vs. non-fasting approaches, cost-effectiveness, and feasibility, offering valuable recommendations for policy makers. By fostering the implementation of state-wise screening programs, it can contribute to improving maternal and neonatal outcomes and promoting healthier pregnancies across the country.

Role of dietary food intake patterns, anthropometric measures, and multiple biochemical markers in the development of pregnancy-specific urinary incontinence in gestational diabetes mellitus

OBJECTIVES

The aim of this study was to assess maternal dietary food intake patterns, anthropometric measures, and multiple biochemical markers in women with gestational diabetes mellitus and pregnancy-specific urinary incontinence and to explore whether antedating gestational diabetes mellitus environment affects the pregnancy-specific urinary incontinence development in a cohort of pregnant women with gestational diabetes mellitus and pregnancy-specific urinary incontinence.

METHODS

Maternal dietary information and anthropometric measurements were collected. At 24 wk of gestation, with a fasting venipuncture sample, current blood samples for biochemical markers of hormones, vitamins, and minerals were analyzed. The groups were compared in terms of numerical variables using analysis of variance for independent samples followed by multiple comparisons.

RESULTS

Of the 900 pregnant women with complete data, pregnant women in the gestational diabetes mellitus pregnancy-specific urinary incontinence group had higher body mass index during pregnancy, arm circumference, and triceps skinfold than the non-gestational diabetes mellitus continent and non-gestational diabetes mellitus pregnancy-specific urinary incontinence groups, characterizing an obesogenic maternal environment. Regarding dietary food intake, significant increases in aromatic amino acids, branched-chain amino acids, dietary fiber, magnesium, zinc, and water were observed in pregnancy-specific urinary incontinence group compared with the non-gestational diabetes mellitus continent group. Serum vitamin C was reduced in the gestational diabetes mellitus pregnancy-specific urinary incontinence group compared with the non-gestational diabetes mellitus pregnancy-specific urinary incontinence group.

CONCLUSIONS

This study emphasizes the necessity for a comprehensive strategy for gestational diabetes mellitus women with pregnancy-specific urinary incontinence in terms of deviation in maternal adaptation trending toward obesity and maternal micronutrients deficiencies.

Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy

BACKGROUND

Early prediction of Gestational Diabetes Mellitus (GDM) risk is of particular importance as it may enable more efficacious interventions and reduce cumulative injury to mother and fetus. The aim of this study is to develop machine learning (ML) models, for the early prediction of GDM using widely available variables, facilitating early intervention, and making possible to apply the prediction models in places where there is no access to more complex examinations.

METHODS

The dataset used in this study includes registries from 1,611 pregnancies. Twelve different ML models and their hyperparameters were optimized to achieve early and high prediction performance of GDM. A data augmentation method was used in training to improve prediction results. Three methods were used to select the most relevant variables for GDM prediction. After training, the models ranked with the highest Area under the Receiver Operating Characteristic Curve (AUCROC), were assessed on the validation set. Models with the best results were assessed in the test set as a measure of generalization performance.

RESULTS

Our method allows identifying many possible models for various levels of sensitivity and specificity. Four models achieved a high sensitivity of 0.82, a specificity in the range 0.72-0.74, accuracy between 0.73-0.75, and AUCROC of 0.81. These models required between 7 and 12 input variables. Another possible choice could be a model with sensitivity of 0.89 that requires just 5 variables reaching an accuracy of 0.65, a specificity of 0.62, and AUCROC of 0.82.

CONCLUSIONS

The principal findings of our study are: Early prediction of GDM within early stages of pregnancy using regular examinations/exams; the development and optimization of twelve different ML models and their hyperparameters to achieve the highest prediction performance; a novel data augmentation method is proposed to allow reaching excellent GDM prediction results with various models.

Prevalence of Hyperglycemia in Pregnancy and Related Screening Practices in Rural Dehradun: The First Population-Based Study from Uttarakhand (PGDRD-1)

Aims

Phase I of the Prevalence of Gestational Diabetes Mellitus in Rural Dehradun (PGDRD) project estimates hyperglycemia in pregnancy (HIP) prevalence and identifies gaps in the utilization of community-related services in rural areas of the Dehradun district (western Uttarakhand); a state where notably no prior population-based study has ever been conducted despite being an Empowered Action Group state for more than two decades.

Methods

Using a multistage random sampling technique, 1,223 pregnant women locally registered in the rural field practice area of a block were identified. Those requiring HIP screening were subjected to a 2-h 75 g oral glucose tolerance test during the house visit irrespective of their period-of-gestation and last meal timings, diagnosed using the Diabetes in Pregnancy Study Group India (DIPSI) criterion (when indicated). Data were collected by personal interviews using a pretested data collection tool. Statistical Package for Social Sciences version 20.0 was used for analysis.

Results

The overall HIP prevalence recorded was 9.7% (95% CI: 8.1-11.5%); the majority (95.8%) were GDM followed by overt DIP (4.2%). Less than 1% of the subjects (0.7%) self-reported pre-GDM. Despite this burden, more than three-fourths were never screened for HIP in their pregnancy. Of those tested, the majority availed secondary healthcare facilities. Few even had to bear expenses in private with a very handful being tested free-of-cost by ANM in the community; findings that altogether sharply contrast to those recommended by national protocols.

Conclusion

Despite the high HIP burden, beneficiaries are unable to utilize community-related universal screening protocols as desired.

Screening of GDM during COVID pandemic in an Italian setting: comparison between IADPSG and WHO '99 criteria

BACKGROUND

During pandemic period, a single fast glycemia value (≥ 92 mg/dl) performed within the recommended time window for the risk level defined by the Italian guidelines, was considered an acceptable surrogate for GDM diagnosis following Italian Diabetes Association recomendations.

METHODS

All pregnant women who performed an OGTT following Italian Guidelines from march 2020 to september 2021 and then delivered at our University Hospital were prospectively enrolled in this study. Primary outcome of the study was the number of women diagnosed with GDM with only the FPG value (≥ 92 mg/dl), following Italian Diabetes Societies recommendations for COVID 19 pandemic period. At the same time, the data of women who became diabetic according to the 1999 WHO criteria was collected too. The secondary outcome was the comparison of risk factors of women undergoing OGTT according to IADPSG and WHO'99 criteria for the diagnosis of GDM and associated clinical outcomes.

RESULTS

The number of women with a diagnosis of GDM following Italian guidelines in the 18-month period considered was 161. Only 109 (67.7%) had a fast glucose value ≥ 92 mg/dl. No differences between IADPSG and WHO'99 groups in relation to risk factors, with the exception for overweight and obesity, and clinical outcomes.

CONCLUSION

Recommendations of Italian Diabetes Societis for COVID 19 pandemic failed to recognize one third of GDM diagnosis. Clinical Trial Registration ClinicalTrials.gov, www.

CLINICALTRIALS

gov , NCT05026840, August 30, 2021, 'retrospectively registered'.

Effectiveness of Mobile Call Reminders and Health Information Booklet to Improve Postnatal Blood Glucose Monitoring among Mothers with Gestational Diabetes Mellitus Receiving Care from a Tertiary Health Centre, Puducherry - A Randomized Controlled Trial

BACKGROUND

In India, around 10% of mothers with gestational diabetes mellitus (GDM) develop diabetes within months after delivery. But only 29% of them undergo blood glucose testing in the postnatal period. Our study aimed to compare the proportion of mothers with GDM who got postnatal blood glucose checked at 8 weeks among mothers who received health education booklets and mobile reminders.

METHODS

We conducted a randomised controlled trial among 165 mothers with GDM receiving care from a tertiary health centre between January 2020 and June 2021. Mothers with GDM in the intervention 1 arm received a health education booklet in the third trimester, those in intervention 2 arm received mobile call reminders at the fourth and fifth weeks postpartum, control arm received standard care advised in the hospital; they were followed up at 8 weeks postnatally. We used Chi-square test to compare the effectiveness of intervention and standard care. Relative risk with a 95% confidence interval was calculated to measure the strength of association. A P value <0.05 was considered statistically significant.

RESULTS

A total of 161 participants (97.58%) completed the study; Out of 55 mothers with GDM in each arm, 30 (56.60%) in the booklet arm, 23 (42.59%) in the mobile reminder arm, and 13 (24.07%) in the standard care arm had undergone postnatal blood glucose monitoring at 8 weeks. There was a statistically significant difference in the postnatal blood glucose monitoring in the booklet arm (RR: 2.21 [1.35-3.64], P value <0.002) compared to the control arm, but the difference was not significant in the mobile reminder arm (1.65 [0.96-2.86], P value 0.072).

CONCLUSION

Health education booklet and mobile call reminders effectively improved postnatal visit compliance compared to standard care. We can diagnose mothers with GDM progressing to diabetes in the postnatal period by implementing these interventions.

Altered levels of neurobiological biomarkers at the interface of depression and gestational diabetes mellitus in Asian Indian women

AIM

Gestational diabetes mellitus (GDM) might predispose the mothers to depression. Studies have reported the role of biomarkers either in GDM or depression, but very few have examined them in GDM with depression. The present study profiled the circulating levels of brain-derived neurotrophic factor (BDNF), Beta Endorphin (BE) and nesfatin-1 in women with GDM (with and without depression).

METHODS

160 pregnant women at 24-28 weeks of pregnancy (NGT/GDM with & without depression, n = 40 each) were randomly selected from the ongoing STRiDE (STratification of Risk of Diabetes in Early pregnancy) study. Depression score was derived using PHQ-9 questionnaire and ELISA was used to quantify the biomarkers.

RESULTS

Circulatory levels of BDNF, BE and nesfatin-1 were lower in GDM women with or without depression compared to NGT without depression, however, nesfatin-1 levels were higher in NGT with depression. Notably, GDM with depression had the lowest levels of BDNF and BE. Both BDNF and BE levels were negatively correlated with depression, 1 h and 2 h plasma glucose. Regression analysis confirmed that each standard deviation decreases in BDNF and BE were independently associated with higher odds of GDM with or without depression even after adjusting for potential confounders.

CONCLUSION

Our study has identified altered levels of a panel of neurobiological biomarkers (BDNF/BE/nesfatin-1) in those with combined GDM and depression. BDNF/BE could be potential biomarkers to assess the higher risk of coexisting depression and GDM.

Diabetic retinopathy in pregnancy - A review

Diabetes and gestational diabetes (GD) are areas of concern worldwide. GD can eventually lead to serious development of diabetic retinopathy (DR) during pregnancy or worsening of an already existing DR. GD confers future risk of diabetes, both in the mother and fetus, further complicating their lives. DR in pregnant women has been intriguing in terms of understanding the prevalence, assessing risk factors causing pathogenesis, and problems associated with treating them. Pregnancy itself is a risk factor for progression of DR. Physiological changes such as metabolic, vascular, immunologic, and hormonal changes that occur during pregnancy can cause development as well as worsening of DR. This can eventually lead to permanent visual loss if not addressed on time. Timing of laser, choice of treatment for diabetic macular edema with laser, intravitreal anti-vascular endothelial growth factor agents (VEGF), and intravitreal steroids pose a serious challenge in managing these patients without causing damage to the mother and fetus. This review article showcases the prevalence, risk factors, and pathogenesis, outlines the management of DR in pregnancy, and recommends guidelines based on the available evidence. PubMed and MEDLINE searches were performed pertaining to the prevalence of GD in India, DR in pregnancy, risk factors for progression of DR, role of vasoactive mediators in DR, role of angiopoietic factors in DR, hormonal influence of DR, role of growth factors in DR, use of fluorescein and indocyanine green angiography, retinal lasers, anti-VEGF agents, intravitreal steroids, anesthesia, and retinal surgery, all pertaining to pregnancy and guidelines and recommendations for managing DR in pregnancy.

Gestational diabetes mellitus - A metabolic and reproductive disorder

Maternal health associated with Gestational Diabetes Mellitus (GDM) has been gaining significant research attention due to its severe risk and adverse health effects. GDM is the leading health disease in pregnant women. It is the most common metabolic disease and it can affect up to 25% of women during pregnancy. Pregnancy is a sensitive period that impacts both pregnant women and their unborn children's long-term health. It is a well-known fact that the leading causes of disease and mortality worldwide are diabetes mellitus and cancer, and specifically, women with diabetes mellitus are at a higher risk of developing breast cancer (BC). Women who have diabetes are equally vulnerable to reproductive diseases. Reproductive dysfunctions with diabetes are mainly attributed to coexisting polycystic ovarian syndrome (PCOS), obesity, and hyperinsulinemia, etc. Moreover, India has long been recognized as the world's diabetic capital, and it is widely acknowledged that particularly pregnant and lactating women are among the most affected by diabetes. In India, one-third (33%) of women with GDM had a history of maternal diabetes. Nevertheless, the latest research suggests that gestational diabetes is also a risk factor for cardiometabolic diseases of the mother and offspring. Therefore, in the 21st century, GDM imposes a major challenge for healthcare professionals. We intend to explore the role of diabetes on female reproductive function throughout various stages of life in the perspective of the changing prognosis, prevalence, and prevention of GDM.

A Prospective Study to Determine if Management of Cases of Gestational Diabetes Mellitus (GDM) can be Modified

Background

To study maternal-fetal outcomes in patients of GDM diagnosed by International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria but subsequently using a twenty-four-hour seven-value sugar profile to evaluate patients before instituting management.

Methods

This prospective observational study was conducted at a tertiary hospital in New Delhi, India, over a period of one year. During this period, women diagnosed as GDM between 24 and 28 weeks of gestation using IADPSG criteria underwent seven-value sugar profile in twenty-four hours before initiating any therapy. Those with normal profile were kept on observation only, whereas others were managed by Medical Nutrition Therapy (MNT) with or without pharmacotherapy as required to maintain euglycemia. Maternal and fetal outcomes were documented and analysed to detect differences between the groups.

Results

Out of 2279 pregnant women, 201 (8.8%) were diagnosed as GDM. The twenty-four-hour seven-value sugar profile was normal in 78 (38.8%) patients, who were managed only by close observation. Treatment was given to other patients; 93 (46.2%) patients were managed with MNT only, whereas pharmacotherapy by way of metformin was added to 22 (10.9%) patients and 8 (3.9%) patients required insulin. Differences in maternal-fetal outcomes between the treated and untreated groups were not found to be statistically significant.

Conclusions

The policy of evaluating patients with twenty-four-hour seven-value sugar profile after an abnormal Oral Glucose Tolerance Test eliminated over one-third women from receiving treatment and interventions for GDM without compromising maternal-fetal outcomes.

Effect of the IADPSG screening strategy for gestational diabetes on perinatal outcomes in Switzerland

AIMS

To evaluate the impact adoption of the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria on prevalence of gestational diabetes mellitus (GDM) and risks of perinatal outcomes.

METHODS

Retrospectively, 155,103 women screened with selective two step criteria in Switzerland in period 1 (2005-2010) were compared to 170,427 women screened with IADPSG criteria in period 2 (2012-2017). GDM prevalence over time was established and multivariable regression used to assess variation in risks for GDM related events and perinatal outcomes.

RESULTS

GDM prevalence increased steadily over both study periods from 1.8% to 9.0%. A risk reduction of GDM-related events was shown only for women with one or two risk factors for GDM present (relative risk (95% confidence interval)): (0.93 (0.90,0.97), 0.90 (0.83,0.96)). The comparison of perinatal outcomes between the two study periods revealed a significant lower risk for newborns large for gestational age (LGA) (0.93 (0.91-0.95)), pre-term delivery (0.94 (0.92-0.97)) and neonatal hypoglycemia (0.83 (0.77-0.90)) in period 2.

CONCLUSION

The introduction of the IADPSG criteria for the screening of GDM increased prevalence by threefold with no substantial improvements in GDM related events for women without risk factors but reduced the risks for LGA, neonatal hypoglycemia and preterm birth.

Prevalence and Risk Factors of Gestational Diabetes Mellitus among Women Attending Antenatal Care in Hadiya Zone Public Hospitals, Southern Nation Nationality People Region

Introduction

In low- and middle-income countries, gestational diabetes mellitus is increasing globally; it is also a double burden of illness for both mothers and children. While gestational diabetes mellitus is recognized in Ethiopia, according to recent diagnostic criteria, information regarding it remains scarce.

Objective

To assess the prevalence of gestational diabetes mellitus and associated factors among women attending antenatal care in Hadiya Zone public Hospitals, Southern Ethiopia.

Methods

An institution-based cross-sectional research on a total of 470 pregnant mothers was conducted in the Hadiya Region from August 2019 to December 2020. Finally, via the systematic random sampling process, the study subjects were chosen. A two-hour oral glucose tolerance test of 75 g was used to conduct the universal one-step screening and diagnostic technique. Bivariate and multivariate analyses were used to identify factors associated with gestational diabetes mellitus.

Results

Gestational diabetes mellitus prevalence was 26.2% (95% CI, 21.8, 30.5). Urban residents (AOR: 2.181; 95% CI: 1.274, 3.733), primary education (AOR:2.286; 95% CI: 1.396, 3.745), without previous history of abortion (AOR: 0.097; 95% CI: 0.048, 0.196), with history of late gestational age in weeks (29-32) (AOR: 0.393; 95% CI: 0.213, 0.723), with no history of coffee drinking (AOR: 2.704; 95% CI: 1.044, 7.006), and adequate dietary diversity (AOR: 2.740; 95% CI: 1.585, 4.739) were significantly associated with gestational diabetes mellitus.

Conclusion

In Hadiya Zone public Hospitals, the prevalence of gestational diabetes mellitus among women attending antenatal treatment was higher compared to other studies conducted. The urban residents, primary schooling, no prior history of abortion, late gestational age, no history of coffee drinking, and sufficient dietary diversity were significantly linked with gestational diabetes mellitus. To enhance maternal and child health, reinforcing screening, treatment, and prevention strategies for gestational diabetes mellitus is essential.

Increasing prevalence of gestational diabetes mellitus when implementing the IADPSG criteria: A systematic review and meta-analysis

AIMS

Quantify the proportional increase in gestational diabetes (GDM) prevalence when implementing the new International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria compared to prior GDM criteria, and to assess risk factors that might affect the change in prevalence.

METHODS

A systematic review and meta-analysis was performed of cohort and cross-sectional studies between January 1, 2010 to December 31, 2018 among pregnant women with GDM using IADPSG criteria compared to, and stratified by, old GDM criteria. Web of science, PubMed, EMBASE, Cochrane, Open Grey and Grey literature reports were included. The relative risk for each study was calculated. Subgroup analyses were performed by maternal age, body mass index, study design, country of publication, screening method, sampling method and data stratified according to diagnostic criteria.

RESULTS

Thirty-one cohort and cross-sectional studies with 136 705 women were included. Implementing the IADPSG criteria was associated with a 75% (RR 1.75, 95% CI 1.53-2.01) increase in number of women with GDM with evidence of heterogeneity.

CONCLUSIONS

The IADPSG criteria increase the prevalence of GDM, but allow movement towards more homogeneity. More studies are needed of the benefits, harms, psychological effects and health costs of implementing the IADPSG criteria.

Prevalence, risk factors and morbidities of gestational diabetes among pregnant women attending a hospital in an urban area of Bhubaneswar, Odisha

Background

Gestational diabetes mellitus (GDM) causes several maternal and neonatal complications.

Aims

This exploratory study was conducted to estimate the prevalence, determine the risk factors and morbidities among pregnant women.

Methods

In this prospective study, 1557 pregnant women attending the Gyn. & Obs. clinic of a hospital in an urban area of Bhubaneswar were enrolled. Various socio-demographic factors and clinical profiles were assessed. We used a Glucometer for the diagnosis of GDM.

Results

More younger pregnant women residing in slums, sedentary and overweight were having diabetes. A large percentage of pregnant women living in rural areas and slums visit the government hospitals as they are benefitted by the State govt.'s scheme, Mamata. Pregnant women residing in the urban areas prefer to go for ante-natal check-ups in private Nursing homes/Clinics owing to the crowd and prolonged waiting hours. In this study, body mass index (BMI) and family history of the pregnant women appeared to be the significant risk factors for the gestational diabetes. Out of 1557 pregnant women, 154 were having diabetes, the prevalence being 9.89%. This is low when compared to the studies reported from other regions of the country.

Conclusions

Gluco-One is suitable for screening gestational diabetes using the optimal threshold capillary glucose level of 140 mg/dl. As the pregnant women find it difficult to come the next day just to collect the results, this facilitated in getting the test results promptly and appropriate consultation by Doctor the same day. Glucometer can be used for accurate screening of gestational diabetes mellitus. Pregnant women with screening values not normal were identified on the spot and followed up at regular intervals. Screening for diabetes among pregnant women would result in early case detection indirectly resulting in better outcomes of treatment and prevention of complications.

Identification of Significant Predictors for the Need of Insulin Therapy and Onset of Postpartum Impaired Glucose Tolerance in Gestational Diabetes Mellitus Patients

BACKGROUND

Gestational diabetes mellitus (GDM) during pregnancy can greatly increase the risk for a number of adverse prenatal and postpartum consequences, including postpartum impaired glucose tolerance (IGT). Determining the need for insulin therapy is critical for controlling the glycemic level in GDM patients. The study contains two major purposes: 1) to identify the potential predictors for the need of insulin therapy in GDM patients; 2) to identify the factors that are related to the onset of postpartum IGT.

MATERIALS AND METHODS

Here, we performed a retrospective study on 112 GDM patients in China to identify the significant predictors for the need of insulin therapy and onset of postpartum IGT in patients with GDM.

RESULTS

Age and gestational weeks at GDM diagnosis, pregestational BMI, family history of diabetes mellitus (DM), plasma glucose levels assessed by 75-g OGTT at both the 1-hour and 2-hour time points (PG-1h and PG-2h) and HbA1c level were all significantly different between the patients that received insulin therapy and those did not. During postpartum, family history of DM, PG-1h PG-2h and HbA1c level were found to be significantly different between the patients with normal glucose tolerance and those with IGT.

CONCLUSION

Our results reveal a number of factors that are closely associated with the need of insulin therapy and onset of postpartum IGT, especially the PG-1h and PG-2h levels. These findings will provide valuable indications on selection of treatment strategy for GDM and GDM-induced postpartum IGT.

Maternal BMI and nutritional status in early pregnancy and its impact on neonatal outcomes at birth in Bangladesh

BACKGROUND

To assess the maternal characteristics and nutritional status according to body mass index (BMI) at 6-14 weeks of gestation and to examine the relationship between maternal nutritional status in early pregnancy and its impact on neonatal birth weight.

METHODS

The investigation was conducted from April 2011 to June 2012 in Dhaka, Bangladesh. A total of 498 primigravida pregnant women participated in the study; women with known diabetes or previous gestational diabetes (GDM) were excluded. Maternal demographic details, pregnancy history and anthropometric measurements were obtained from the mother at the recruitment (6-14 weeks), 2nd visit between 24 and 28 week of gestation and 3rd visit at delivery. Cord venous blood samples of newborns (n = 138) were collected immediately after delivery for blood glucose, insulin, lipid profile, leptin and micronutrients including serum folate, ferritin, homocysteine, vitamin D, and vitamin B12.

RESULTS

The prevalence at 6-14 weeks of pregnancy of anemia (Hb, < 11 g/dl), vitamin D deficiency (< 30 nmol/l), vitamin B12 deficiency (< 200 pg/ml), high homocysteine level (> 15 μmol/l), folate deficiency (< 3 ng/ml) and iron deficiency (ferritin < 13 ng/ml) were 19.5, 46.4, 15.1, 1.2, 0.4, and 12.7% respectively. GDM was found in 18.4% women. The prevalence of GDM was higher in overweight women (28.1%) than underweight (16.7%) and normal weight women (16.0%: p <  0.05). The incidence of low birth weight (LBW) and preterm delivery were 11.6 and 5.8% respectively and was not related to maternal BMI at 6-14 weeks of pregnancy. Maternal height was positively (p = 0.02), and homocysteine was negatively associated with neonatal birth weight (p = 0.02). In addition, the newborn's cord serum folate was positively (p = 0.03) and cord triglyceride was negatively (p = 0.03) associated with neonatal birth weight.

CONCLUSION

Multiple maternal micronutrient deficiencies were present in early pregnancy. Maternal BMI in early pregnancy was not related to preterm deliveries or LBW. LBW was associated with lower folate, elevated cord triglyceride concentrations of the neonates and mother's height and increase in maternal homocysteine levels. The data has important implications for pregnancy care in Bangladesh and other similar communities.

The impact of diagnostic criteria for gestational diabetes on its prevalence: a systematic review and meta-analysis

BACKGROUND

The absence of universal gold standards for screening of gestational diabetes (GDM) has led to heterogeneity in the identification of GDM, thereby impacting the accurate estimation of the prevalence of GDM. We aimed to evaluate the effect of different diagnostic criteria for GDM on its prevalence among general populations of pregnant women worldwide, and also to investigate the prevalence of GDM based on various geographic regions.

METHODS

A comprehensive literature search was performed in PubMed, Scopus and Google-scholar databases for retrieving articles in English investigating the prevalence of GDM. All populations were classified to seven groups based-on their diagnostic criteria for GDM. Heterogeneous and non-heterogeneous results were analyzed using the fixed effect and random-effects inverse variance model for calculating the pooled effect. Publication bias was assessed by Begg's test. The Meta-prop method was used for the pooled estimation of the prevalence of GDM. Meta-regression was conducted to explore the association between prevalence of GDM and its diagnostic criteria. Modified Newcastle-Ottawa Quality Assessment Scale for nonrandomized studies was used for quality assessment of the studies included; the ROBINS and the Cochrane Collaboration's risk of bias assessment tools were used to evaluate the risk of bias.

RESULTS

We used data from 51 population-based studies, i.e. a study population of 5,349,476 pregnant women. Worldwide, the pooled overall-prevalence of GDM, regardless of type of screening threshold categories was 4.4%, (95% CI 4.3-4.4%). The pooled overall prevalence of GDM in the diagnostic threshold used in IADPSG criteria was 10.6% (95% CI 10.5-10.6%), which was the highest pooled prevalence of GDM among studies included. Meta-regression showed that the prevalence of GDM among studies that used the IADPSG criteria was significantly higher (6-11 fold) than other subgroups. The highest and lowest prevalence of GDM, regardless of screening criteria were reported in East-Asia and Australia (Pooled-P = 11.4%, 95% CI 11.1-11.7%) and (Pooled-P = 3.6%, 95% CI 3.6-3.7%), respectively.

CONCLUSION

Over the past quarter century, the diagnosis of gestational diabetes has been changed several times; along with worldwide increasing trend of obesity and diabetes, reducing the threshold of GDM is associated with a significant increase in the incidence of GDM. The harm and benefit of reducing the threshold of diagnostic criteria on pregnancy outcomes, women's psychological aspects, and health costs should be evaluated precisely.

Screening and diagnosis of gestational diabetes in India: a systematic review and meta-analysis

AIMS

Although diabetes is rapidly increasing in India, there is no national consensus on best practices for screening, diagnosis, and management of gestational diabetes mellitus (GDM). The goal of this study was to systematically review the literature for studies reporting the prevalence and screening and diagnostic methods for gestational diabetes in India.

METHODS

We searched MEDLINE, Embase, and POPLINE for studies on screening for GDM in India. We included English-language full reports and conference abstracts of cross-sectional studies, prospective, and retrospective cohorts that reported the screening method and prevalence of GDM. We performed descriptive analysis on all studies and meta-analysis, meta-regression, and subgroup meta-analysis on studies with medium or low risk of bias.

RESULTS

We included 64 studies reporting 90 prevalence estimates. Prevalence estimates ranged from 0 to 41.9%. Subset meta-analyses showed that the IADPSG diagnostic criteria found significantly more GDM cases (prevalence = 19.19% [15.5, 23.6], p < 0.05) than the WHO 1999 criteria (10.13% [8.17, 12.50]) and DIPSI criteria (7.37% [5.2, 10.16]). Studies that compared the IADPSG and WHO 1999 criteria showed poor positive agreement (33-79%). Studies specifying time of GDM diagnosis showed that patients (11-60%) develop GDM as early as the first trimester, but many GDM cases (16-40%) are missed if screened only at first visit.

CONCLUSIONS

In India, prevalence estimates of GDM vary substantially by diagnostic criteria. When evaluating screening and diagnostic criteria for GDM, providers should consider their patients' needs and correlate screening criteria with pregnancy outcomes.

Diabetes in South Asians: Phenotype, Clinical Presentation, and Natural History

PURPOSE OF REVIEW

South Asia is one of the epicenters of the global diabetes pandemic. Diabetes in south Asians has certain peculiar features with respect to its pathophysiology, clinical presentation, and management. This review aims to summarize some of the recent evidence pertaining to the distinct diabetes phenotype in south Asians.

RECENT FINDINGS

South Asia has high incidence and prevalence rates of diabetes. The progression from "pre-diabetes" to diabetes also occurs faster in this population. Pancreatic beta cell dysfunction seems to be as important as insulin resistance in the pathophysiology of diabetes in south Asians. Recent evidence suggests that the epidemic of diabetes in south Asia is spreading to rural areas and to less affluent sections of society. Diabetes in south Asians differs significantly from that in white Caucasians, with important implications for prevention, diagnosis, and management.

Implications of Lipids in Neonatal Body Weight and Fat Mass in Gestational Diabetic Mothers and Non-Diabetic Controls

PURPOSE OF REVIEW

Maternal lipid metabolism greatly changes during pregnancy and we review in this article how they influence fetal adiposity and growth under non-diabetic and gestational diabetic conditions.

RECENT FINDINGS

In pregnant women without diabetes (control), maternal glycemia correlates with neonatal glycemia, neonatal body weight and fat mass. In pregnant women with gestational diabetes mellitus (GDM), maternal glucose correlates with neither neonatal glycemia, neonatal birth weight nor fat mass, but maternal triacylglycerols (TAG), non-esterified fatty acids (NEFA) and glycerol do correlate with birth weight and neonatal adiposity. The proportions of maternal plasma arachidonic (AA) and docosahexaenoic (DHA) acids decrease from the first to the third trimester of pregnancy, and at term these long-chain polyunsaturated fatty acids are higher in cord blood plasma than in mothers, indicating efficient placental transfer. In control or pregnant women with GDM at term, the maternal concentration of individual fatty acids does not correlate with neonatal body weight or fat mass, but cord blood fatty acid levels correlate with birth weight and neonatal adiposity-positively in controls, but negatively in GDM. The proportion of AA and DHA in umbilical artery plasma in GDM is lower than in controls but not in umbilical vein plasma. Therefore, an increased utilization of those two fatty acids by fetal tissues, rather than impaired placental transfer, is responsible for their smaller proportion in plasma of GDM newborns. In control pregnant women, maternal glycemia controls neonatal body weight and fat mass, whereas in mothers with GDM-even with good glycemic control-maternal lipids and their greater utilization by the fetus play a critical role in neonatal body weight and fat mass. We propose that altered lipid metabolism rather than hyperglycemia constitutes a risk for macrosomia in GDM.