Diagnosis Of Gestational Diabetes Mellitus Research Articles

Rethinking organizational culture in intersectoral coordination: theperspective of boundary work.

The purpose of this paper is to rethink the concept of organizational culture as something that emerges bottom-up by using the sociological concepts of boundary object and boundary work as an analytical lens and to show how this approach can help understand and facilitate intersectoral coordination. We used observations and qualitative interviews to develop "deep" knowledge about processes of intersectoral coordination. The study draws on a conceptual framework of "boundary work" and "boundary objects" to show how a bottom-up perspective on organizational culture can produce better understanding of and pave the way for intersectoral coordination. We use a case of health professionals engaged in two Danish intersectoral programs developing and providing health promotion services for women with gestational diabetes mellitus (GDM). The study showed how boundary work revolves around negotiations on how to define, understand and act on the diagnosis of GDM. This diagnosis has the characteristics of a "boundary object", being more loosely structured in general terms, but strongly structured in local settings. Boundary objects help connect different professionals and facilitate coordination. The analysis showed how the introduction of time and the concept of "lifelong health promotion" helped to transgress existing organizational and professional boundaries. The findings contribute to the literature on organizational culture and intersectoral coordination. We highlight the benefits of a practice-oriented, bottom-up perspective for a better understanding of how shared meaning is produced in cross professional coordination and collaboration. While the theoretical implications will be general applicable when studying organizational culture, the implications for practice are sensitive to context and the processes we have described as the outcomes of boundary work are generated from cases that were most likely to provide deep insight into our research topic. For practice this can build bridges between organizational and professional boundaries. The findings contribute to the literature on organizational culture and intersectoral coordination. We highlight the benefits of a practice-oriented, bottom-up perspective for a better understanding of how shared meaning is produced in cross professional coordination. This may build bridges between organizational and professional boundaries in practice settings.

Test characteristics of glycated albumin in the diagnosis of gestational diabetes mellitus

This study determined the test characteristics of glycated albumin in the diagnosis of gestational diabetes mellitus. The gold standard for diagnosing gestational diabetes mellitus is the oral glucose tolerance test which requires patient preparation, drinking of glucose solution, and multiple sample collections. A possible alternative biomarker for the diagnosis of gestational diabetes is glycated albumin does not require patient preparation and only one sample is collected. Glycated albumin levels are higher among Black Americans than in Caucasians.The study involved 200 pregnant women attending the antenatal clinic at the University of Port Harcourt Teaching Hospital. The diagnosis of gestational diabetes mellitus was made using the World Health Organization 2013 diagnostic criteria. The test characteristics of glycated albumin were determined using the area under the curve of the receiver operator characteristic curve, sensitivity, specificity, positive predictive value, and negative predictive value. The prevalence of gestational diabetes mellitus was 9.0%. The area under the receiver operator characteristic curve for glycated albumin was 0.8 (95% CI 0.7-0.9; p=0.0001). The sensitivity and specificity of glycated albumin were 83.3% and 86.8% respectively. The positive predictive value was 38.5% and the negative predictive value was 98.1%. Glycated albumin has high sensitivity, specificity, and negative predictive values and therefore, can be used as a preliminary test for gestational diabetes mellitus.

Women with a history of gestational diabetes mellitus present an accumulation of cardiovascular risk factors at age 46-A birth cohort study.

The incidence of gestational diabetes mellitus (GDM) is globally increasing, and it has been associated with later type 2 diabetes, metabolic syndrome (MetS), and cardiovascular disease (CVD). However, long-term population-based studies investigating common CVD risk factors years after pregnancy are lacking. To evaluate the future mortality and morbidity in cardiovascular and metabolic diseases, we conducted a thorough investigation of midlife risk factors in women with and without previous GDM. A prospective population-based cohort study was conducted of 3173 parous women from the Northern Finland Birth Cohort, 1966. Subjects were obtained from the national register or patient records. Those with a GDM diagnosis formed the GDM cohort (n = 271), and those without a previous GDM diagnosis formed the control cohort (n = 2902). Clinical examinations were performed on participants at the age of 46 and included anthropometric measurements, oral glucose tolerance test (OGTT), biochemical measurements, and cardiovascular assessment. At the age of 46, women in the GDM cohort had a higher body mass index (BMI, 29.0 kg/m2 vs 26.3 kg/m2, p < 0.001) and greater waist circumference (94.1 cm vs 86.5 cm, p < 0.001) than the control cohort. In the GDM cohort, a higher incidence of impaired glucose tolerance (12.6% vs 7.3%, p = 0.002), more previously diagnosed and OGTT-detected type 2 diabetes (23.3% vs 3.9%, p < 0.001), lower high-density lipoprotein (1.53 mmol/L vs 1.67 mmol/L, p = 0.011), higher triglycerides (1.26 mmol/L vs 1.05 mmol/L, p = 0.002) and a higher fatty liver index (6.82 vs 2.47, p < 0.001), were observed even after adjusting for BMI, polycystic ovary syndrome, parity, level of education, physical activity, smoking, and alcohol consumption. The women in the GDM cohort also had more MetS (42.6% vs 21.9%, p < 0.001) and higher risk scores for CVD and fatal events (Framingham 4.95 vs 3.60, p < 0.001; FINRISK 1.71 vs 1.08, p < 0.001). Women with a previous diagnosis of GDM exhibit more risk factors for CVD in midlife and are at a higher risk for cardiovascular events later in life.

A first trimester prediction model and nomogram for gestational diabetes mellitus based on maternal clinical risk factors in a resource-poor setting

BackgroundThe implementation of universal screening for Gestational Diabetes Mellitus (GDM) is challenged by several factors key amongst which is limited resources, hence the continued reliance on risk factor-based screening. Effective identification of high-risk women early in pregnancy may enable preventive intervention. This study aimed at developing a GDM prediction model based on maternal clinical risk factors that are easily assessable in the first trimester of pregnancy in a population of Nigerian women.MethodsThis was a multi-hospital prospective observational cohort study of 253 consecutively selected pregnant women from which maternal clinical data was collected at 8–12 weeks gestational age. Diagnosis of GDM was made via a one-step 75-gram Oral Glucose Tolerance Test (OGTT) at 24–28 weeks of gestation. A GDM prediction model and nomogram based on selected maternal clinical risk factors was developed using multiple logistic regression analysis, and its performance was assessed by Receiver Operator Curve (ROC) analysis. Data analysis was carried out using Statistical Package for Social Sciences (SPSS) version 25 and Python programming language (version 3.0).ResultsIncreasing maternal age, higher body mass index (BMI), a family history of diabetes mellitus in first-degree relative and previous history of foetal macrosomia were the major predictors of GDM. The model equation was: LogitP = 6.358 − 0.066 × Age − 0.075 × First trimester BMI − 1.879 × First-degree relative with diabetes mellitus − 0.522 × History of foetal macrosomia. It had an area under the receiver operator characteristic (ROC) curve (AUC) of 0.814 (95% CI: 0.751–0.877; p-value < 0.001), and at a predicted probability threshold of 0.745, it had a sensitivity of 79.2% and specificity of 74.5%.ConclusionThis first trimester prediction model reliably identifies women at high risk for GDM development in the first trimester, and the nomogram enhances its practical applicability, contributing to improved clinical outcomes in the study population.

HbA1c as an early diagnostic marker in gestational diabetes mellitus.

Objective: To assess the effectiveness of HbA1c as an indicator of Gestational Diabetes mellitus(GDM). Study Design: Prospective Cases Control study. Setting: Fauji Foundation Hospital Rawalpindi. Period: March 2022 to Oct 2022. Methods: All pregnant females older than 18 years of age having pregnancy confirmed by gynecologist in 1st trimester were included. A 5ml blood sample was obtained from each case to evelaute the HbA1c level. Oral glucose tolerance test (OGTT) was performed on both groups at conception to 12 weeks (1st trimester) as well as at 12 to 24 weeks of gestation (2nd trimester) to evaluate correlation between OGTT and HbA1c test. All the females suffering from GDM were taken in cases group and comparatively in equal number non GDM pregnant women were taken in control group. All the relevant information was collected via study proforma and SPSS version 26 was used for analysis. Results: The number of females suffering from GDM was 45 in number and we took 45 pregnant females as control group. Average level of HbA1c in women with GDM (test group) was higher than in women with Non-GDM (control group). Patients having age groups 35-39 showing greater prevalence of gestational diabetes with 73.2% sensitivity and 66.7% specificity at a cut-off value of 5.6% (31 mmol/mol) for GDM diagnosis. Conclusion: The findings reveal significantly elevated HbA1c levels during both the first and second trimesters in individuals diagnosed with GDM, with a test specificity of 95%. This underscores its ability to accurately pinpoint individuals who truly have GDM. However, HbA1c is observed as a valuable diagnostic tool for the early detection of GDM.

Continuous Glucose Monitoring Profiles in Pregnancies With and Without Gestational Diabetes Mellitus.

To determine whether continuous glucose monitoring (CGM)-derived glycemic patterns can characterize pregnancies with gestational diabetes mellitus (GDM) as diagnosed by standard oral glucose tolerance test at 24-28 weeks' gestation compared with those without GDM. The analysis includes 768 individuals enrolled from two sites prior to 17 weeks' gestation between June 2020 and December 2021 in a prospective observational study. Participants wore blinded Dexcom G6 CGMs throughout gestation. Main outcome of interest was a diagnosis of GDM by oral glucose tolerance test (OGTT). Glycemic levels in participants with GDM versus without GDM were characterized using CGM-measured glycemic metrics. Participants with GDM (n = 58 [8%]) had higher mean glucose (109 ± 13 vs. 100 ± 8 mg/dL [6.0 ± 0.7 vs. 5.6 ± 0.4 mmol/L], P < 0.001), greater glucose SD (23 ± 4 vs. 19 ± 3 mg/dL [1.3 ± 0.2 vs. 1.1 ± 0.2 mmol/L], P < 0.001), less time in range 63-120 mg/dL (3.5-6.7 mmol/L) (70% ± 17% vs. 84% ± 8%, P < 0.001), greater percent time >120 mg/dL (>6.7 mmol/L) (median 23% vs. 12%, P < 0.001), and greater percent time >140 mg/dL (>7.8 mmol/L) (median 7.4% vs. 2.7%, P < 0.001) than those without GDM throughout gestation prior to OGTT. Median percent time >120 mg/dL (>6.7 mmol/L) and time >140 mg/dL (>7.8 mmol/L) were higher as early as 13-14 weeks of gestation (32% vs. 14%, P < 0.001, and 5.2% vs. 2.0%, P < 0.001, respectively) and persisted during the entire study period prior to OGTT. Prior to OGTT at 24-34 weeks' gestation, pregnant individuals who develop GDM have higher CGM-measured glucose levels and more hyperglycemia compared with those who do not develop GDM.

Selenium Supplementation and Gestational Diabetes: A Randomised Controlled Trial.

To assess the effects of selenium supplementation on blood glucose levels in women with gestational diabetes mellitus (GDM). Randomised controlled trial. Place and Duration of the Study: Department of Internal Medicine, Istanbul Medipol University, Faculty of Medicine, Istanbul, Turkiye, from February to July 2023. In the first phase of this study, the selenium levels of the pregnant women who routinely had an oral glucose tolerance test were measured, and in the second phase of the study, the pregnant women diagnosed with GDM were randomly divided into two groups that received 4-week interventions: Diet alone and diet plus selenium supplementation (200 µg/day). Selenium level in pregnant women with GDM was significantly lower than in healthy pregnant women, and a selenium level less than 80 ng/ml predicted GDM diagnosis with a sensitivity of 58.59% and a specificity of 67.11%. Pregnant women with low selenium (<80 ng/ml) had a 2.709-fold higher risk for GDM compared to those with higher values. Fasting blood glucose levels decreased significantly in both groups after the respective interventions, but the decrease was greater in selenium recipients. Furthermore, fasting, 1st and 2nd hour blood glucose levels were lower in selenium recipients compared to those who only received diet. Selenium level in pregnant women with GDM was low compared to healthy pregnant women. Selenium supplementation had a beneficial impact (compared to diet only) on blood glucose levels in pregnant women with GDM. Pregnancy, Pregnancy outcome, Diabetes, Gestational, Dietary supplements, Selenium.

Association of gestational diabetes with long-term risk of premature mortality, and cardiovascular outcomes and risk factors: A retrospective cohort analysis in the UK Biobank.

To investigate the association of gestational diabetes mellitus (GDM) with premature mortality and cardiovascular (CVD) outcomes and risk factors. Parous women recruited to the UK Biobank cohort during 2006-2010 were followed up from their first delivery until 31 October 2021. The data were linked to Hospital Episode Statistics and mortality registries. Multivariate Cox proportional hazard models investigated associations of GDM with all-cause mortality, CVD, diabetes, hypertension and dyslipidaemia. The maximum total analysis time at risk and under observation was 9 694 090 person-years. Among 220 726 women, 1225 self-reported or had a recorded diagnosis of GDM. After adjusting for confounders and behavioural factors, GDM was associated with increased risk for premature mortality [hazard ratio (HR): 1.44, 95% confidence interval (CI): 1.12-1.86], particularly CVD-related death (HR: 2.38, 95% CI: 1.63-3.48), as well as incident total CVD (HR: 1.50, 95% CI: 1.30-1.74), non-fatal CVD (HR: 1.41, 95% CI: 1.20-1.65), diabetes (HR: 14.37, 95% CI: 13.51-15.27), hypertension (HR: 1.49, 95% CI: 1.38-1.60), and dyslipidaemia (HR: 1.30, 95% CI: 1.22-1.39). The total CVD risk was greater in women with GDM who did not later develop diabetes than in those with GDM and diabetes. Women with GDM are at increased risk of premature death and have increased CV risk, emphasizing the importance of interventions to prevent GDM. If GDM develops, the diagnosis represents an opportunity for future surveillance and intervention to reduce CVD risk factors, prevent CVD and improve long-term health.

Establishment of pregnancy-specific lipid reference intervals in pregnant women in a single-centre and assessment of the predictive value of early lipids for gestational diabetes mellitus: a prospective cohort study.

This study was aimed at establishing a pregnancy-specific lipid reference interval (RI) in pregnant women in a single-centre in the Beijing area of China, simultaneously exploring the predictive value of lipid levels in early pregnancy for gestational diabetes mellitus (GDM). From October 2017 to August 2019, Peking University International Hospital established records for 1588 pregnant women, whose lipid profiles were determined during the first and third trimesters. The Hoffmann technique was used to calculate gestation-specific lipid RI. The 95% reference range for gestational lipids was also estimated for 509 healthy pregnant women screened according to the Clinical and Laboratory Standards Institute guideline. Multivariate logistic regression analysis was used to calculate odds ratios (OR) and their 95% confidence interval (CI), and the receiver operating characteristic (ROC) curve was applied to assess the predictive value of lipids in the first trimester for the diagnosis of GDM. Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels were significantly higher in the third trimester (p < 0.05). Hoffmann technique RI of the lipid profiles and the 95% reference range of the lipid profiles in healthy pregnant women did not differ statistically (p > 0.05). TC, TG, and LDL-C levels were higher in the GDM group in the first trimester (p < 0.05), and the risk of GDM was 2.1 times higher in women with higher TG (95% CI: 1.13-3.77, p < 0.05). The optimal ROC cut-off for TG to predict GDM was 2.375 mmol / L, and the area under the ROC curve was 0.622 (95% CI: 0.592-0.751), with a sensitivity of 73.7% and a specificity of 59.3%. This study established pregnancy-specific lipid RI for pregnant women in a single centre in the Beijing area of China. Pregnant women with TG ≥ 2.375 mmol/L in the first trimester were at significantly increased risk for GDM.

Placental IGFBP1 levels during early pregnancy and the risk of insulin resistance and gestational diabetes.

Reduced insulin sensitivity (insulin resistance) is a hallmark of normal physiology in late pregnancy and also underlies gestational diabetes mellitus (GDM). We conducted transcriptomic profiling of 434 human placentas and identified a positive association between insulin-like growth factor binding protein 1 gene (IGFBP1) expression in the placenta and insulin sensitivity at ~26 weeks gestation. Circulating IGFBP1 protein levels rose over the course of pregnancy and declined postpartum, which, together with high gene expression levels in our placenta samples, suggests a placental or decidual source. Higher circulating IGFBP1 levels were associated with greater insulin sensitivity (lesser insulin resistance) at ~26 weeks gestation in the same cohort and in two additional pregnancy cohorts. In addition, low circulating IGFBP1 levels in early pregnancy predicted subsequent GDM diagnosis in two cohorts of pregnant women. These results implicate IGFBP1 in the glycemic physiology of pregnancy and suggest a role for placental IGFBP1 deficiency in GDM pathogenesis.

Potential risk of gestational diabetes mellitus in females undergoing in vitro fertilization: a pilot study

BackgroundMost of the cases of hyperglycemia during pregnancy are attributed to gestational diabetes mellitus (GDM) (75–90%). Women diagnosed with GDM are at an increased risk for complications during pregnancy and delivery. This observational prospective study aimed to investigate the potential risk of GDM among Egyptian females following in vitro fertilization (IVF) pregnancies compared to spontaneous pregnancies (SC).MethodsThis prospective cohort study included normoglycemic females without any history of dysglycemia before this conception. Subjects were divided according to the type of conception into two age and BMI-matched groups: (IVF group): 55 pregnant females conceived by IVF, and (SC group) spontaneous pregnancy: 55 pregnant females conceived spontaneously. A one-step oral glucose tolerance test (OGTT) was performed at gestational weeks 20 and 28 for all study subjects.ResultsThe incidence of GDM was statistically significantly higher in the IVF group compared to the spontaneous pregnancy (SC) group (20 and 5.5%, respectively), p = 0.022 at week 28. On comparing the incidence of GDM on early screening at week 20 in both groups, the incidence of GDM in the IVF group was significantly higher (16.4%) compared to (3.6%) in the spontaneous pregnancy (SC) group, p = 0.026.ConclusionsIVF may have an increased potential risk for GDM. Moreover, the diagnosis of GDM may occur early (week 20), highlighting the need for precise and early screening for GDM in IVF pregnancies.

Twin Pregnancy Complicated by Gestational Diabetes Mellitus: Maternal and Neonatal Outcomes.

The risk of gestational diabetes mellitus (GDM) in twin pregnancies is more than double that of singleton pregnancies. Although twin pregnancies present unique challenges for fetal growth and prenatal management, the approach to GDM diagnosis and treatment is the same regardless of plurality. Data on pregnancy outcomes for individuals with GDM and a twin pregnancy are limited and conflicting. To describe the maternal characteristics associated with GDM in twin pregnancies and to assess the associated pregnancy outcomes compared to twin pregnancies unaffected by GDM. A retrospective cohort study was conducted at Mayo Clinic, Rochester, Minnesota, USA, and included predominantly Causasian women aged 18 to 45 years who received prenatal care for a twin pregnancy from 2017-2022. Maternal characteristics and a broad spectrum of pregnancy outcomes were evaluated. Universal GDM screening involved a 50 g oral glucose challenge test +/- a 100 g oral glucose tolerance test. GDM was diagnosed in 23% pregnancies (n = 104/452). Compared to those without, women with GDM had known risk factors including a higher prepregnancy body mass index (31.1vs 26.3 kg/m2; P < .01) and a prior history of GDM (21.7 vs 5.9%; P < .01). There were no differences in maternal pregnancy complications or neonatal outcomes between groups. Attendance at postpartum glucose testing among women with GDM was poor at 27.9% (29/104). These data suggest that women with twin pregnancies share a similar GDM risk profile to those with singleton pregnancies and provide reassuring evidence that current management for GDM twin pregnancies produces similar outcomes to twin pregnancies without GDM.

Impact of Mediterranean diet in lowering risk of gestational diabetes mellitus: A cross-sectional study

Introduction and objectivesThe prevalence of gestational diabetes is increasing, and the Mediterranean diet is highly recommended for health. The objective of this study is to determine the relationship between adherence to the Mediterranean diet and gestational diabetes mellitus (GDM). Materials and methodsIn this cross-sectional study the presence of GDM is the dependent variable, and socio-demographic and anthropometric characteristics and adherence to the Mediterranean diet are the independent variables in this study, which was carried out in pregnant women who were 24–28 weeks pregnant and had Oral Glucose Tolerance Test (OGTT). Adherence to the Mediterranean diet was evaluated with the Mediterranean Diet Adherence Scale (MEDAS). Data were collected through face-to-face interviews, weight and height measurements of the pregnant women were made, and the diagnosis of GDM was made with OGTT. ResultsTwo hundred and seven pregnant women participated in the study and 85 of them (41.1%) were diagnosed as GDM. According to Logistic Regression models, age (OR: 1.088, 95% CI: 1.031–1.149) and infertility treatment (OR: 4.570, 95% CI: 1.443–14.474) significantly increased the occurrence of GDM, while adherence to the Mediterranean diet (OR: 0.683, 95% CI: 0.568–0.820) significantly reduced the risk. ConclusionsNearly two-fifths of pregnant women were diagnosed with GDM while only one-fourth complied with a Mediterranean diet. The increase in the frequency of GDM should be carefully monitored. It may be useful to detect risky pregnant women at the time of the first diagnosis, to measure their glucose levels, and to give suggestions about the Mediterranean diet in the early period.

Assessment of the Level of Knowledge About Risk Factors, Prevention, and Treatment of Gestational Diabetes Mellitus in a Community Sample From Saudi Arabia.

Introduction Gestational diabetes mellitus (GDM) is a common disease affecting pregnant females, and it carries a major risk of short and long-term health problems for both mothers and their offspring. Multiple factors like advanced maternal age, obesity, and unhealthy lifestyle can increase the risk of GDM. The current guidelines recommend screening all pregnant females for risk factors during the first trimester with subsequent testing of the blood glucose level at 24 weeks gestation. Lack of awareness about GDM is a main contributing factor in the delay in screening and diagnosis of GDM with subsequent fetal and maternal complications. This study aims to identify the level of knowledge about GDM among the adult population in the Kingdom of Saudi Arabia (KSA). Material and methods A descriptive cross-sectional questionnaire-based study was conductedto identify the level of knowledge about risk factors, prevention, and treatment of GDM in a community sample from Saudi Arabia. A self-administered electronic questionnaire was designed, tested for validity and reliability, and distributed through social media platforms. It consisted of 18 questions asking about the socio-demographic characteristics, the type of hospital in which the participant receives their medical care, whether the participant heard about GDM or not, and if they knowsomeone with GDM, in addition to questions to assess the level of knowledge about risk factors, complications, prevention, and treatment of GDM. The total score of knowledge was calculated. The multivariate regression analysis test was employed to analyze the relationship between various demographic variables and the level of knowledge about GDM among the study population. A p-value of 0.05 or less was considered statistically significant. Results A total of 539 (100%) participants completed the questionnaire: 263 (48.8%) of them were in the age category (18-25 years), 440 (81.6%) of them were females, 307 (57%) had a bachelor's degree, 275 (51%) were single, 454 (84.2%) had heard about GDM, and 258 (47.9%) of them have or know someone with GDM. The total score of knowledge revealed excellent, good, fair, and poor levels among 334 (62%), 140 (26%), 49 (9%), and 16 (3%) of participants, respectively. The multivariable linear regression model revealed that participants who received health care from governmental hospitals heard about GDMand had or knew someone with GDM were positively associated with a higher level of knowledge. Conclusions The findings revealed that among participants, 62% showed excellent knowledge about GDM, although, the other 38% had non-optimal levels of knowledge. Awareness campaigns are recommended to improve the level of knowledge about this disease, its risk factors, treatment, and complications.

Impact of Mediterranean diet in lowering risk of gestational diabetes mellitus: A cross-sectional study

Introduction and objectivesThe prevalence of gestational diabetes is increasing, and the Mediterranean diet is highly recommended for health. The objective of this study is to determine the relationship between adherence to the Mediterranean diet and gestational diabetes mellitus (GDM). Materials and methodsIn this cross-sectional study the presence of GDM is the dependent variable, and socio-demographic and anthropometric characteristics and adherence to the Mediterranean diet are the independent variables in this study, which was carried out in pregnant women who were 24–28 weeks pregnant and had Oral Glucose Tolerance Test (OGTT). Adherence to the Mediterranean diet was evaluated with the Mediterranean Diet Adherence Scale (MEDAS). Data were collected through face-to-face interviews, weight and height measurements of the pregnant women were made, and the diagnosis of GDM was made with OGTT. ResultsTwo hundred and seven pregnant women participated in the study and 85 of them (41.1%) were diagnosed as GDM. According to Logistic Regression models, age (OR: 1.088, 95% CI: 1.031–1.149) and infertility treatment (OR: 4.570, 95% CI: 1.443–14.474) significantly increased the occurrence of GDM, while adherence to the Mediterranean diet (OR: 0.683, 95% CI: 0.568–0.820) significantly reduced the risk. ConclusionsNearly two-fifths of pregnant women were diagnosed with GDM while only one-fourth complied with a Mediterranean diet. The increase in the frequency of GDM should be carefully monitored. It may be useful to detect risky pregnant women at the time of the first diagnosis, to measure their glucose levels, and to give suggestions about the Mediterranean diet in the early period.

Cost-effectiveness of diagnosis and treatment of early gestational diabetes mellitus: economic evaluation of the TOBOGM study, an international multicenter randomized controlled trial

Cost-effectiveness of diagnosis and treatment of early gestational diabetes mellitus: economic evaluation of the TOBOGM study, an international multicenter randomized controlled trial

Review of Genetic and Artificial Intelligence approaches to improving Gestational Diabetes Mellitus Screening and Diagnosis in sub-Saharan Africa.

Background: Adverse outcomes from gestational diabetes mellitus (GDM) in the mother and newborn are well established. Genetic variants may predict GDM and Artificial Intelligence (AI) can potentially assist with improved screening and early identification in lower resource settings. There is limited information on genetic variants associated with GDM in sub-Saharan Africa and the implementation of AI in GDM screening in sub-Saharan Africa is largely unknown. Methods: We reviewed the literature on what is known about genetic predictors of GDM in sub-Saharan African women. We searched PubMed and Google Scholar for single nucleotide polymorphisms (SNPs) involved in GDM predisposition in a sub-Saharan African population. We report on barriers that limit the implementation of AI that could assist with GDM screening and offer possible solutions. Results: In a Black South African cohort, the minor allele of the SNP rs4581569 existing in the PDX1 gene was significantly associated with GDM. We were not able to find any published literature on the implementation of AI to identify women at risk of GDM before second trimester of pregnancy in sub-Saharan Africa. Barriers to successful integration of AI into healthcare systems are broad but solutions exist. Conclusions: More research is needed to identify SNPs associated with GDM in sub-Saharan Africa. The implementation of AI and its applications in the field of healthcare in the sub-Saharan African region is a significant opportunity to positively impact early identification of GDM.

Use of the Japanese gestational diabetes mellitus diagnostic strategy during the COVID‐19 pandemic in Japan: A questionnaire survey

AbstractAimSome concerns exist that diagnosis of gestational diabetes mellitus (GDM) may be missed when the simplified diagnostic criteria of the Japanese Society of Diabetes and Pregnancy (JSDP) for GDM (published during the COVID‐19 pandemic) are used. Moreover, limited data is available regarding how widespread these diagnostic criteria are used when managing GDM during the COVID‐19 pandemic. Therefore, this study aimed to determine how GDM diagnosis has changed during the COVID‐19 pandemic in Japan.MethodsThe changes in GDM diagnosis during the COVID‐19 pandemic were investigated using an online questionnaire to 2159 obstetric facilities in Japan. The questionnaire collected data on facility type, awareness of Japanese GDM diagnostic strategies, modifications to diagnostic methods for early and late GDM, and opinions on GDM management, with the pandemic divided into seven periods.ResultsWe received responses from 593 facilities (27%). Approximately 90% of the facilities did not change their diagnostic process for early GDM or late GDM (occurring after 24 weeks gestation). However, during the COVID‐19 pandemic, 19 facilities discontinued the use of 75‐g oral glucose tolerance tests before 24 weeks of gestation, and 17 facilities discontinued it after 24 weeks of gestation, instead using the aforementioned Japanese GDM diagnostic strategy.ConclusionsAlthough a limited number of facilities modified their diagnostic method in response to the COVID‐19 pandemic, this study demonstrated that those that adjusted their diagnostic method primarily used the Japanese COVID‐19 GDM strategy by the JSDP.

The WHO 2013 oral glucose tolerance test: The utility of isolated glucose measurements - A retrospective cohort study

ObjectiveThe WHO 2013 guidelines recommend screening for gestational diabetes mellitus (GDM) by 3-point oral glucose tolerance test (OGTT). The objective of this retrospective cohort study was to evaluate GDM diagnosed by an isolated high glucose. Study designWe included pregnant women deemed at risk for GDM were offered GDM screening. We examined the records of 1939 consecutively screened pregnancies at two teaching hospitals in Amsterdam during 2016–2020. Using the WHO 2013 diagnostic criteria, we calculated the proportion of GDM cases diagnosed by isolated abnormal glucose values. ResultsAmong those screened in our high risk cohort, GDM incidence was 31.5%. Of the GDM diagnoses, 57.0% were based on an isolated fasting glucose value, 30.9% based on multiple raised glucose measurements, 7.4% on an isolated raised 2-hour glucose and 4.7% on an isolated raised 1-hour glucose. For 1-hour glucose, the number needed to screen was 67 persons for one additional GDM case. ConclusionThe 1-hour glucose in the 3 point OGTT, as suggested by the WHO 2013 guidelines for GDM, contributes only small numbers of GDM cases and a high number needed to screen (67 for 1 additional case in a selective high risk GDM screening strategy), and is likely even less effective in universally screened populations.

Time to Move Beyond a Binary Criterion for Gestational Diabetes?

Over the years, several international guidelines have been developed by specialist organizations for the diagnosis of gestational diabetes mellitus (GDM). However, these guidelines vary and lack consensus on what level of glycemia defines GDM and worryingly, there is now evidence of over- or- under-diagnosis of women with GDM by current criteria. Towards this end, the National Priorities Research Program (NPRP) funded a program of research aimed at elucidating the problem with GDM diagnosis. It was determined, on completion of the project, that the solution required diagnosis of graded levels of dysglycemia in pregnancy and not just a diagnosis of presence or absence of GDM. A new diagnostic criterion (called the NPRP criterion) was created based on a single numerical summary of the three readings from the oral glucose tolerance test (GTT) that diagnosed women in pregnancy into four levels: normal, impaired, GDM and high risk GDM. This paper now examines existing GDM criteria vis-à-vis the NPRP criterion. It is noted that no significant change has happened over the years for existing criteria except for a gradual reduction in the threshold values of individual time-points or the number of time points, bringing us towards over-diagnosis of GDM in pregnancy. The new criterion unifies all readings from the GTT into one numerical value and, because it results in four levels of glycemia, represents a new way forwards for GDM diagnosis and can potentially reduce the rates of under diagnosis and over diagnosis of GDM.