Options for screening for gestational diabetes mellitus during the SARS-CoV-2 pandemic.
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ABSTRACT:
SUBMITTER: Simmons D
PROVIDER: S-EPMC7436309 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:During the global coronavirus disease 2019 (COVID-19) pandemic, people worldwide have experienced an unprecedented rise in psychological distress and anxiety. In addition to this challenging situation, the prevalence of diabetes mellitus (DM), a hidden epidemic, has been steadily increasing in recent years. Lower-middle-income countries have faced significant barriers in providing accessible prenatal care and promoting a healthy diet for pregnant women, and the pandemic has made these challenges even more difficult to overcome. Pregnant women are at a higher risk of developing complications such as hyper-tension, preeclampsia, and gestational diabetes, all of which can have adverse implications for both maternal and fetal health. The occurrence of gestational diabetes has been on the rise, and it is possible that the pandemic has worsened its prevalence. Although data is limited, studies conducted in Italy and Canada suggest that the pandemic has had an impact on gestational diabetes rates, especially among women in their first trimester of pregnancy. The significant disruptions to daily routines caused by the pandemic, such as limited exercise options, indicate a possible link between COVID-19 and an increased likelihood of experiencing higher levels of weight gain during pregnancy. Notably, individuals in the United States with singleton pregnancies are at a significantly higher risk of excessive gestational weight gain, making this association particularly important to consider. Although comprehensive data is currently lacking, it is important for clinical researchers to explore the possibility of establishing correlations between the stress experienced during the pandemic, its consequences such as gestational gain weight, and the increasing incidence of gestational DM. This knowledge would contribute to better preventive measures and support for pregnant individuals during challenging times.
| S-EPMC10473953 | biostudies-literature
Project description:ObjectiveTo test the hypothesis that there is seasonal variation in the rates of gestational diabetes (GDM) diagnosed using a 2-hour oral glucose tolerance test.DesignMonthly assessment of the percentage of women screened from 1 April 2016 to the 31 December 2020 who were diagnosed as having gestational diabetes.SettingLondon teaching hospital.Population28 128 women receiving antenatal care between 1 April 2016 and 31 December 2020.MethodsRetrospective study of prospectively collected data.Main outcome measuresProportion of women screened diagnosed as having gestational diabetes.ResultsThe mean (SD) percentage of women diagnosed with GDM was 14.78 (2.24) in summer (June, July, August) compared with 11.23 (1.62) in winter (P < 0.001), 12.13 (1.94) in spring (P = 0.002) and 11.88 (2.67) in autumn (P = 0.003). There was a highly significant positive correlation of the percentage testing positive for GDM with the mean maximum monthly temperature (R2 = 0.248, P < 0.001). There was a statistically significant 33.8% increase in the proportion of GDM diagnoses from June 2020 onwards, possibly related to a reduction in exercise secondary to the Covid-19 pandemic.ConclusionsThere is a 23.3% higher rate of GDM diagnoses in the warmer summer months. There has been a 33.8% rise in GDM diagnoses associated with the Covid-19 pandemic.Tweetable abstractRates of GDM are higher in summer and since the onset of the Covid-19 pandemic.
| S-EPMC8209849 | biostudies-literature
Project description:We compared the plasma miRNA expression profiles between healthy and GDM women by microarray analysis.Our study offers new insights into circulating biomarkers of GDM and thus provides a valuable resource for future investigations.
2017-04-22 | GSE98043 | GEO
Project description:ObjectiveUsing a specific cutoff of fasting plasma glucose (FPG) to screen gestational diabetes mellitus (GDM) can reduce the use of oral glucose tolerance tests (OGTT). Since the prevalence of GDM increases with age, this screening method may not be appropriate in healthcare systems where women become pregnant at older ages. Therefore, we aimed to develop a screening algorithm for GDM that takes maternal age into consideration.MethodsWe included 945 pregnant women without history of GDM who received 75g OGTT to diagnose GDM in 2011. Screening algorithms using FPG with or without age were developed. Another 362 pregnant women were recruited in 2013-2015 as the validation cohort.ResultsUsing FPG criteria alone, more GDM diagnoses were missed in women ≥35 years than in women <35 years (13.2% vs. 5.8%, p <0.001). Among GDM women ≥35 years, 63.6% had FPG <92 mg/dL (5.1 mmol/L). Use of the algorithm with an "age plus FPG" cutoff could reduce the use of OGTT (OGTT%) from 77.6% to 62.9%, while maintaining good sensitivity (from 91.9% to 90.2%) and specificity (from 100% to 100%). Similar reduction in OGTT% was found in the validation cohort (from 86.4% to 76.8%). In the simulation, if the percentage of women ≥35 years were 40% or more, the screening algorithm with an "age plus FPG" cutoff could further reduce OGTT% by 11.0%-18.8%.ConclusionsA screening algorithm for GDM that takes maternal age into consideration can reduce the use of OGTT when women become pregnant at older ages.
| S-EPMC5351872 | biostudies-literature
Project description:BackgroundThis study aims to find evidence of the cost-effectiveness of gestational diabetes mellitus (GDM) screening and assess the quality of current economic evaluations, which have shown different conclusions with a variation in screening methods, data sources, outcome indicators, and implementation in diverse organizational contexts.MethodsEmbase, Medline, Web of Science, Health Technology Assessment, database, and National Health Service Economic Evaluation Database databases were searched through June 2019. Studies on economic evaluation reporting both cost and health outcomes of GDM screening programs in English language were selected, and the quality of the studies was assessed using Drummond's checklist. The general characteristics, main assumptions, and results of the economic evaluations were summarized.ResultsOur search yielded 10 eligible economic evaluations with different screening strategies compared in different settings and perspectives. The selected papers scored 81% (68-97%) on the items in Drummond's checklist on average. In general, a screening program is cost-effective or even dominant over no screening. The one-step screening, with more cases detected, is more likely to be cost-effective than the two-step screening. Universal screening is more likely to be cost-effective than screening targeting the high-risk population. Parameters affecting cost-effectiveness include: diagnosis criteria, epidemiological characteristics of the population, efficacy of screening and treatment, and costs.ConclusionsMost studies found GDM screening to be cost-effective, though uncertainties remain due to many factors. The quality assessment identified weaknesses in the economic evaluations in terms of integrating existing data, measuring costs and consequences, analyzing perspectives, and adjusting for uncertainties.
| S-EPMC7878709 | biostudies-literature
Project description:The coronavirus disease 2019 (COVID-19) pandemic caused by the novel beta coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) crippled the whole world and has resulted in large number of morbidity and mortality. The origin of the SARS-CoV-2 is still disputed. The risk of infection with SARS-CoV-2 is dependent on several risk factors as observed in many studies. The severity of the disease depends on many factors including the viral strain, host immunogenetics, environmental factors, host genetics, host nutritional status and presence of comorbidities like hypertension, diabetes, Chronic Obstructive Pulmonary Disease, cardiovascular disease, renal impairment. Diabetes is a metabolic disorder mainly characterized by hyperglycemia. Diabetic individuals are intrinsically prone to infections. SARS-CoV-2 infection in patients with diabetes result in β-cell damage and cytokine storm. Damage to the cells impairs the equilibrium of glucose, leading to hyperglycemia. The ensuing cytokine storm causes insulin resistance, especially in the muscles and liver, which also causes a hyperglycemic state. All of these increase the severity of COVID-19. Genetics also play pivotal role in disease pathogenesis. This review article focuses from the probable sources of coronaviruses and SARS-CoV-2 to its impacts on individuals with diabetes and host genetics in pre- and post-pandemic era.
| S-EPMC10311579 | biostudies-literature
Project description:Aims:The present study evaluates association between physical activity and Gestational Diabetes Mellitus (GDM), for it can be an effective intervention for its management. Though physical activity helps maintain glucose homeostasis, evidences of GDM risk are less extensive. Therefore, this study also identifies its correlation with maternal blood glucose levels. Materials and Methods:A prospective case-control study was carried out among pregnant women attending regular antenatal clinic at two private hospitals. The study comprised of 100 cases and 273 matched controls. Data was collected by personal interviews using a standard questionnaire. Physical activity was assessed using long form of International Physical Activity Questionnaire (IPAQ) reported as Metabolic Equivalent-Minutes per week (MET-Minutes/Week). Statistical Package for Social Sciences (SPSS) was used for analysis. Results:Results shows high exposure rates for low-to-moderate physical activity among cases, across all domains and sub-activities. The odds of GDM engaged in domestic and gardening activities for <2999 MET-minutes per week are 10 times higher than involved for ≥3000 MET-minutes per week (P < 0.001). The study also shows poor or no correlation between physical activity during pregnancy and maternal blood glucose levels. Conclusion:Despite existence of poor or no relationship with maternal blood glucose levels, prolonged sedentary behavior and decreased physical activities, especially domestic, are potential risk factors for GDM, a major finding of the study.
| S-EPMC6166569 | biostudies-other
Project description:The incidence of gestational diabetes mellitus (GDM) is increasing worldwide. This has a significant effect on the health of the mother and offspring. There is no doubt that screening for GDM between 24 and 28 weeks is important to reduce the risk of adverse pregnancy outcomes. However, there is no consensus about diagnosis and treatment of GDM in early pregnancy. In this narrative review on the current evidence on screening for GDM in early pregnancy, we included 37 cohort studies and eight randomized controlled trials (RCTs). Observational studies have shown that a high proportion (15–70%) of women with GDM can be detected early in pregnancy depending on the setting, criteria used and screening strategy. Data from observational studies on the potential benefit of screening and treatment of GDM in early pregnancy show conflicting results. In addition, there is substantial heterogeneity in age and BMI across the different study populations. Smaller RCTs could not show benefit but several large RCTs are ongoing. RCTs are also necessary to determine the appropriate cut-off for HbA1c in pregnancy as there is limited evidence showing that an HbA1c ≥6.5% has a low sensitivity to detect overt diabetes in early pregnancy.
| S-EPMC8003050 | biostudies-literature
Project description:DNA methylation and gestational diabetes mellitus
| PRJEB66494 | ENA
Project description:OBJECTIVE:Guidelines for screening and diagnosis of gestational diabetes mellitus (GDM) have been updated in the past several years, and various inconsistencies exist across these guidelines. Moreover, the quality of these updated guidelines has not been clarified. We thus conducted this systematic review to evaluate the relationship between the quality and detailed recommendations of these guidelines. DATA SOURCES:The Guidelines International Network Library, the National Institute for Health and Clinical Excellence (NICE) database, the Medline database, the Embase and the National Guidelines Clearinghouse were searched for guidelines containing recommendations on screening and diagnosis strategies for GDM between 2009 and November 2018. METHODS:Guidelines included a target group of women with GDM, and contained recommendations for screening and diagnostic strategies for GDM were included in the present systematic review. Reviewers summarised recommendations on screening and diagnosis strategies from each guideline and rated the quality of guidelines by using the Appraisal of Guidelines Research and Evaluation (AGREE) criteria. RESULTS:A total of 459 citations were collected by the preliminary literature selection, and 16 guidelines that met the inclusion criteria were assessed. The inconsistencies of the guidelines mainly focus on the screening process (one step vs two step) and criteria of oral glucose tolerance test (OGTT) (International Association of Diabetes and Pregnancy Study Groups [IADPSG] vs CarpenterandCoustan). Guidelines with higher AGREE scores usually recommend a one-step OGTT strategy with IADPSG criteria between 24 and 28 gestational weeks, and the majority of these guidelines likely to select evidence by Grading of Recommendations Assessment, Development and Evaluation criteria. CONCLUSIONS:The guidelines of WHO-2013, NICE-2015, American Diabetes Association-2018, Endocrine Society-2013, Society of Obstetricians and Gynaecologists of Canada-2016, International Federation of Gynecology and Obstetrics-2015, American College of Obstetricians and Gynecologists-2018, United States Preventive Services Task Force-2014 and IADPSG-2015 are strongly recommended in the present evaluation, according to the AGREE II criteria. Guidelines with higher quality tend to recommend a one-step 75 g OGTT strategy with IADPSG criteria between 24 and 28 gestational weeks.
| S-EPMC6502228 | biostudies-other