Management Of Gestational Diabetes Mellitus Research Articles

A feasibility study using motivational interviewing and a smartphone application to promote physical activity (+Stay-Active) for women with gestational diabetes

BackgroundPhysical activity (PA) interventions have an encouraging role in gestational diabetes mellitus (GDM) management. Digital technologies can potentially be used at scale to support PA. The aim of this study was to assess the feasibility and acceptability of + Stay-Active: a complex intervention which combines motivational interviewing with a smartphone application to promote PA levels in women with GDM.MethodsThis non-randomised feasibility study used a mixed methods approach. Participants were recruited from the GDM antenatal clinic at Oxford University Hospitals. Following baseline assessments (visit 1) including self-reported and device determined PA measurements (wrist worn accelerometer), women participated in an online motivational interview, and then downloaded (visit 2) and used the Stay-Active app (Android or iOS). Women had access to Stay-Active until 36 weeks’ gestation, when acceptability and PA levels were reassessed (visit 3). The primary outcome measures were recruitment and retention rates, participant engagement, and acceptability and fidelity of the intervention. Secondary outcome measures included PA levels, app usage, blood glucose and perinatal outcomes. Descriptive statistics were performed for assessments at study visits. Statistics software package Stata 14 and R were used.ResultsOver the recruitment period (46 weeks), 114 of 285 women met inclusion criteria and 67 (58%) enrolled in the study. Mean recruitment rate of 1.5 participants/clinic with 2.5 women/clinic meeting inclusion criteria. Fifty-six (83%) received the intervention at visit 2 and 53 (79%) completed the study. Compliance to accelerometer measurement protocols were sufficient in 78% of participants (52/67); wearing the device for more than 10 h on 5 or more days at baseline and 61% (41/67) at 36 weeks. There was high engagement with Stay-Active; 82% (55/67) of participants set goals on Stay-Active. Sustained engagement was evident, participants regularly accessed and logged multiples activities on Stay-Active. The intervention was deemed acceptable; 85% of women rated their care was satisfactory or above, supported by written feedback.ConclusionsThis combined intervention was feasible and accepted. Recruitment rates were lower than expected. However, retention rates remained satisfactory and participant compliance with PA measurements and engagement was a high. Future work will explore the intervention’s efficacy to increase PA and impact on clinical outcomes.Trial registrationThe study has received a favourable opinion from South Central—Hampshire B Research Ethics Committee; REC reference: 20/SC/0342. ISRCTN11366562.

Management of Gestational Diabetes Mellitus: Knowledge, Attitudes, and Practices of Obstetric Doctors in Benghazi, Libya

Abstract Introduction Gestational diabetes mellitus (GDM) adversely affects the mother and fetus. Its diagnosis and management are of great importance to prevent complications. Mothers with GDM are at great risk of developing type 2 diabetes, and metabolic changes can persist for 3 years postdelivery. We assessed the knowledge and practice of obstetricians working at Benghazi Medical Centre (BMC) regarding gestational diabetes. Materials and Methods A cross-sectional descriptive study was conducted at the obstetric department of BMC; we included all postgraduate doctors in July 2021 in the study. The questionnaire included demographic data and questions related to knowledge regarding the definition of GDM, diagnosis, and complications to the mother and fetus. It also included practices toward GDM, including screening, management, follow-up, and postpartum screening for diabetes. Results The total number of doctors who agreed to participate was 102, and the response rate was 72.9%. The mean age of the participants was 35.4 ± 7.2 years; most of the studied group were females 97 (95.1%), 76 (74.5%) were senior house officers, 16 (15.7%) were mid-grades, and 10 (9.8%) were seniors. Most working obstetricians, 76 (74.5%), had less than 10 years of experience. One hundred (98%) participants heard about GDM, and only 39 (38.2%) correctly defined GDM. Regarding the threshold for fasting glucose to diagnose GDM, only 11 (10.8%) gave a right answer of 92 mg/dL. Most participants had a good knowledge of GDM risk factors and complications. Regarding follow-up, only 35 (34.3%) participants provided the correct answer, and only 27 (26.5%) mentioned insulin as the medical treatment of choice. Conclusion Although most of our studied group had contact with GDM patients, most needed basic knowledge regarding definition, diagnosis, and screening. Different opinions regarding diagnostic thresholds and management practices were observed. We recommended the establishment of a gestational diabetes clinic with the cooperation of endocrinologists and obstetricians, as well as local guidelines.

Gestational diabetes mellitus care re‐imagined: women's experiences of a major model of care change at a large metropolitan hospital

Abstract Background: A gestational diabetes mellitus (GDM) pregnancy has significant psychological, time and resource impacts. In 2020–21, a digitally‐supported radical GDM service redesign was undertaken at a Brisbane tertiary centre, producing substantial cost savings without compromising clinical outcomes.Aims: To describe women's experiences within this new model of care (MOC), specifically the app user experience (MOC) (post), compared with a traditional MOC (pre).Methods: The new MOC was evaluated using a pre–post study design. This MOC included a smartphone app‐to‐clinician blood glucose communication platform. A convenience sample of women were surveyed about care experiences and app use pre‐ and post‐implementation. An additional survey queried user app experience at four weeks’ postpartum.Results: Within the service, 34% (n=24) and 22% (n=48) of women were surveyed pre and post MOC introduction, respectively. Pre‐implementation, 50% (n=12) of women missed work to attend appointments and 75% spent 30–120 minutes at the hospital. Questions regarding understanding GDM, initial dietary changes and glucometer use received similar or slightly lower ratings, pre‐ to post‐implementation. Nearly a quarter of women in the app‐experiences survey (24.2%; n=177) showed high levels of satisfaction with care received (91.5%) and with the app for managing GDM (87.1%). Two experience themes that emerged were Enhanced GDM management and Usability issues.Conclusions: The new MOC reduced time impositions associated with attending appointments. Despite the removal of face‐to‐face visits in the new MOC, women still established a connection with their treating team and maintained their understanding of their GDM management. Copyright © 2024 John Wiley & Sons.

PREVALENCE OF GESTATIONAL DIABETES AND RELATED COMPLICATIONS IN DISTRICT SIALKOT

Gestational diabetes mellitus (GDM) is a prevalent medical complication during pregnancy, associated with adverse maternal and neonatal outcomes. Understanding the impact of GDM on pregnancy complications is essential for effective management and care. Objective: This study aimed to compare the incidence of various complications between pregnant women with and without GDM. Method: A total of 200 pregnant women were recruited from Govt. Sardar Begum Teaching Hospital Sialkot and Civil Hospital Sialkot. These patients were given 75 g oral glucose irrespective of the meals, and their plasma glucose was estimated at two h. Patients with plasma glucose values of 140 mg/dl were labelled GDM; the rest were the control or non-GDM groups. All GDM patients were followed up and treated with diet and insulin therapy till delivery to know maternal and fetal outcomes. Results: Among the enrolled pregnant women, 70 (35%) were diagnosed with GDM. Significant differences were observed between the Non-GDM and GDM groups in terms of Cesarean section delivery (23.8% vs 55.7%, P=0.001), hypertension (13.8% vs 74.3%, P=0.031), and preterm birth (17.7% vs 24.3%, P=0.001). However, no significant difference was found in the incidence of fetal abnormalities between the two groups (9.2% vs. 8.6%, P=0.012). Additionally, the risk of intrauterine fetal demise was comparable between the Non-GDM and GDM groups (10.0% vs. 11.4%, P=0.031). Conclusion: Pregnant women with GDM are at increased risk of Cesarean section delivery, hypertension, and preterm birth compared to those without GDM. However, the incidence of fetal abnormalities and intrauterine fetal demise does not significantly differ between the two groups. Early detection and management of GDM are crucial to minimise adverse pregnancy outcomes.

Gestational diabetes-related gut microbiome dysbiosis is not influenced by different Asian ethnicities and dietary interventions: a pilot study.

Gut microbiome dysbiosis contributes to the pathophysiology of both gestational diabetes mellitus (GDM) and its associated adverse outcomes in the woman and offspring. Even though GDM prevalence, complications, and outcomes vary among different ethnic groups, limited information is available about the influence of ethnicity on gut microbiome dysbiosis in pregnancies complicated by GDM. This pilot prospective cohort study examined the impact of ethnicity on gut dysbiosis in GDM among three Asian ethnic groups (Chinese, Malay, Indian) living in Singapore, and investigated the potential modulatory roles of diet and lifestyle modifications on gut microbiome post-GDM diagnosis. Women with GDM (n = 53) and without GDM (n = 16) were recruited. Fecal samples were collected at 24-28- and 36-40-weeks' gestation and analyzed by targeted 16S rRNA gene-based amplicon sequencing. Permutational multivariate analysis of variance (PERMANOVA) analysis was performed to evaluate differences between groups. Differentially abundant taxa were identified by DeSeq2 based analysis. Functional prediction was performed using thephylogeneticinvestigation of communities by reconstruction of unobserved states (PICRUSt2). Among women with GDM, gut microbiome from different ethnicities harbored common microbial features. However, among those without GDM, there was contrasting microbiome composition between ethnic groups. Microbial members such as Collinsella, Blautia, Ruminococcus, Ruminococcus gnavus, Ruminococcus torques, and Eubacterium hallii groups were differentially enriched (p < 0.05) in women with GDM compared to those without. Among women with GDM, no differences in alpha- and beta- diversity were observed when comparing 24-28weeks' samples with 36-40weeks' samples, a period covering intense dietary and lifestyle modification, suggesting an inability to modulate gut microbiota through classic GDM management. Women with GDM have a distinct gut microbiome profile which harbours common features across different Asian ethnic groups, consistent with the notion that specific microbes are involved in the pathogenesis of insulin resistance, pro-inflammatory conditions, and other metabolic dysregulation known to be present in GDM.

Triple-Responsive, Multimodal, Visual Electronic Skin toward All-in-One Health Management for Gestational Diabetes Mellitus.

Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders during pregnancy, leading to serious complications for pregnant women and a threat to life safety of infants. Therefore, it is particularly important to establish a multipurpose monitoring pathway to important physiological indicators of pregnant women. In this work, three kinds of double network hydrogels are prepared with poly(vinyl alcohol) (PVA), borax, and cellulose ethers with varying substituents of methyl (methyl cellulose, MC), hydroxypropyl (hydroxypropyl cellulose, HPC), or both (hydroxypropyl methyl cellulose, HPMC), respectively. The corresponding toughness (143.9, 102.3, and 135.9 kJ cm-3) and conductivity (0.69, 0.45, and 0.51 S m-1) of the hydrogels demonstrate that PB-MC was endowed with the prominent performance. Molecular dynamics simulations further revealed the essence that hydrogen bond interactions between PVA and cellulose ethers play a critical role in regulating the structure and properties of hydrogels. Thermochromic capsule powders (TCPs) were subsequently doped in to achieve a composite hydrogel (TCPs@PB-MC) to indicate the change in human body temperature. Furthermore, the process of the TCPs@PB-MC response to glucose, pH, and temperature was tracked in-depth through the electrochemical window. This work provides a novel strategy for all-in-one health management of GDM.

Practise of Self-Monitoring of Blood Glucose Among Pregnant Women with Gestational Diabetes Mellitus Attending a Tertiary Care Hospital in Lucknow, Uttar Pradesh

Background: Gestational Diabetes Mellitus (GDM) is defined as glucose intolerance of varying degree diagnosed first time during the pregnancy. Blood glucose values revert to the normal level soon after the delivery. But the women carry a lifetime risk of getting overt diabetes within 5 years. The management of GDM mainly comprises of medical nutrition therapy, exercise, weight management and Self-Monitoring of Blood Glucose (SMBG). Among all the management components, SMBG is the mostly neglected especially among pregnant women with GDM.Overall, the practise of SMBG in developing nation like India is not up to the mark. Aim: The aim of the present study was to determine the practice of SMBG amongst the pregnant women with GDM. The study was conducted in the antenatal OPD of Queen Mary’s Hospital KGMU, Lucknow, Uttar Pradesh. Methodology: It was a quasi experimentalstudy on 188 pregnant women with GDM managed on life style intervention. Statistical analysis:Descriptive statistics in the form of frequencies and percentages were used to analyse the sociodemographicfactors. ANOVA was applied to compare the mean score between the two groups. Result: The overall adherence to the SMBG practice was found to be very low among the study participants. No significant difference was observed between the two groups. Conclusion: Patient empowerment and imparting proper information regarding SMBG may be helpful in managing the GDM with better maternal and foetal outcomes.

Management of Gestational Diabetes Mellitus in Middle East and North Africa: Systematic review

Management of Gestational Diabetes Mellitus in Middle East and North Africa: Systematic review

A Systematic Review on the Hypoglycemic Potentials of Mahogany (Swietenia spp.) Seeds as Antioxidants in the Management of Gestational Diabetes Mellitus

A Systematic Review on the Hypoglycemic Potentials of Mahogany (Swietenia spp.) Seeds as Antioxidants in the Management of Gestational Diabetes Mellitus

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.

Diet, lifestyle and gut microbiota composition among Malaysian women with gestational diabetes mellitus: a prospective cohort study

The study addressed a significant gap in the profiling and understanding of the gut microbiota’s influence on Malaysian Malay women with gestational diabetes mellitus (GDM). This prospective cohort study aimed to explore the intricate relationship between gut microbiota, dietary choices, and lifestyle factors among Malay women, both with and without GDM. The research specifically focused on participants during the second (T0) and third (T1) trimesters of pregnancy in Johor Bahru, Malaysia. In Part 1 of the study, a diverse pool of pregnant women at T0 was categorized into two groups: those diagnosed with GDM and those without GDM, with a total sample size of 105 individuals. The assessments encompassed demographic, clinical, lifestyle, and dietary factors at the T0 and T1 trimesters. Part 2 of the study delved into microbiome analysis, targeting a better understanding of the gut microbiota among the participants. Stool samples were randomly collected from 50% of the individuals in each group (GDM and non-GDM) at T0 and T1. The collected samples underwent processing, and 16s rRNA metagenomic analysis was employed to study the microbial composition. The results suggested an association between elevated body weight and glucose levels, poor sleep quality, lack of physical activity, greater intake of iron and meat, and reduced fruit consumption among women with GDM compared to non-GDM groups. The microbiome analysis revealed changes in microbial composition over time, with reduced diversity observed in the GDM group during the third trimester. The genera Lactiplantibacillus, Parvibacter, Prevotellaceae UCG001, and Vagococcus positively correlated with physical activity levels in GDM women in the second trimester. Similarly, the genus Victivallis exhibited a strong positive correlation with gravida and parity. On the contrary, the genus Bacteroides and Roseburia showed a negative correlation with omega-3 polyunsaturated fatty acids (PUFAs) in women without GDM in the third trimester. The study highlighted the multifaceted nature of GDM, involving a combination of lifestyle factors, dietary choices, and changes in gut microbiota composition. The findings emphasized the importance of considering these interconnected elements in understanding and managing gestational diabetes among Malaysian Malay women. Further exploration is essential to comprehend the mechanisms underlying this relationship and develop targeted interventions for effective GDM management.

Enhancing gestational diabetes mellitus risk assessment and treatment through GDMPredictor: a machine learning approach.

Gestational diabetes mellitus (GDM) is a serious health concern that affects pregnant women worldwide and can lead to adverse pregnancy outcomes. Early detection of high-risk individuals and the implementation of appropriate treatment can enhance these outcomes. We conducted a study on a cohort of 3467 pregnant women during their pregnancy, with a total of 5649 clinical and biochemical records collected. We utilized this dataset as our training dataset to develop a web server called GDMPredictor. The GDMPredictor utilizes advanced machine learning techniques to predict the risk of GDM in pregnant women. We also personalize treatment recommendations based on essential biochemical indicators, such as A1MG, BMG, CysC, CO2, TBA, FPG, and CREA. Our assessment of GDMPredictor's effectiveness involved training it on the dataset of 3467 pregnant women and measuring its ability to predict GDM risk using an AUC and auPRC. GDMPredictor demonstrated an impressive level of precision by achieving an AUC score of 0.967. To tailor our treatment recommendations, we use the GDM risk level to identify higher risk candidates who require more intensive care. The GDMPredictor can accept biochemical indicators for predicting the risk of GDM at any period from 1 to 24weeks, providing healthcare professionals with an intuitive interface to identify high-risk patients and give optimal treatment recommendations. The GDMPredictor presents a valuable asset for clinical practice, with the potential to change the management of GDM in pregnant women. Its high accuracy and efficiency make it a reliable tool for doctors to improve patient outcomes. Early identification of high-risk individuals and tailored treatment can improve maternal and fetal health outcomes http://www.bioinfogenetics.info/GDM/ .

Subsidized gestational diabetes mellitus screening and management program in rural China: a pragmatic multicenter, randomized controlled trial

BackgroundThe increasing prevalence of gestational diabetes mellitus (GDM) is a major challenge, particularly in rural areas of China where control rates are suboptimal. This study aimed to evaluate the effectiveness of a GDM subsidy program in promoting GDM screening and management in these underserved regions.MethodsThis multicenter, randomized controlled trial (RCT) was conducted in obstetric clinics of six rural hospitals located in three provinces in China. Eligible participants were pregnant women in 24–28 weeks’ gestation, without overt diabetes, with a singleton pregnancy, access to a telephone, and provided informed consent. Participants were randomly assigned in a 1:1 ratio to either the intervention or control groups using an internet-based, computer-generated randomization system. The intervention group received subsidized care for GDM, which included screening, blood glucose retesting, and lifestyle management, with financial assistance provided to health care providers. In contrast, the control group received usual care. The primary outcomes of this study were the combined maternal and neonatal complications associated with GDM, as defined by the occurrence of at least one pre-defined complication in either the mother or newborn. The secondary outcomes included the GDM screening rate, rates of glucose retesting for pregnant women diagnosed with GDM, dietary patterns, physical activity levels, gestational weight gain, and antenatal visit frequency for exploratory purposes. Primary and secondary outcomes were obtained for all participants with and without GDM. Binary outcomes were analyzed by the generalized linear model with a link of logistic, and odds ratios (OR) with 95% confidence intervals (CIs) were reported. Count outcomes were analyzed by Poisson regression, and incidence rate ratios with 95% CIs were reported.ResultsA total of 3294 pregnant women were randomly assigned to either the intervention group (n = 1649) or the control group (n = 1645) between 15 September 2018 and 30 September 2019. The proportion of pregnant women in the intervention group who suffered from combined maternal and/or neonatal complications was lower than in the control group with adjusted OR = 0.86 (0.80 to 0.94, P = 0.001), and a more significant difference was observed in the GDM subgroup (adjusted OR = 0.66, 95% CI 0.47 to 0.95, P = 0.025). No predefined safety or adverse events of ketosis or ketoacidosis associated with GDM management were detected in this study. Both the intervention and control groups had high GDM screening rates (intervention: 97.2% [1602/1649]; control: 94.5% [1555/1645], P < 0.001). Moreover, The intervention group showed a healthier lifestyle, with lower energy intake and more walking minutes (P values < 0.05), and more frequent blood glucose testing (1.5 vs. 0.4 visits; P = 0.001) compared to the control group.ConclusionIn rural China, a GDM care program that provided incentives for both pregnant women and healthcare providers resulted in improved maternal and neonatal health outcomes. Public health subsidy programs in China should consider incorporating GDM screening and management to further enhance reproductive health.Trial registrationChina Clinical Trials Registry ChiCTR1800017488. https://www.chictr.org.cn/

IDF23-0442 Assessing Early Stage Design of a mHealth App for Gestational Diabetes Mellitus Management in Bangladeshi Women

IDF23-0442 Assessing Early Stage Design of a mHealth App for Gestational Diabetes Mellitus Management in Bangladeshi Women

Outcomes of Gestational Diabetes in Newborns

With the rising trend in obesity, the incidence of gestational diabetes mellitus (GDM) and perinatal complications associated with the condition are also on the rise. Since the early 1900s, much knowledge has been gained about the diagnosis, implications, and management of gestational diabetes with improved outcomes for the mother and fetus. Worldwide, there is variation in the definition of GDM, methods to screen for the condition, and management options. The International Association of Diabetes in Pregnancy Study Groups has published recommendations for a one-step approach to screen pregnant women for GDM, in order to develop outcome-based criteria that can be used internationally. However, management of GDM continues to be varied, and currently several options are available for treatment of hyperglycemia during pregnancy. A review of various aspects of GDM is discussed with a focus on the medical management during pregnancy, as practiced in the United States.

The Relationship between Iron Markers, Cortisol and Insulin Resistance in Gestational Diabetes Mellitus

Background: Gestational diabetes mellitus (GDM) is a significant metabolic disorder occurring during pregnancy, associated with serious maternal and fetal complications if left untreated. The global prevalence of GDM emphasizes the urgent need for research into its pathogenesis and contributing factors, including hormonal changes, insulin resistance, and the role of iron metabolism. Objective: The aim of this study was to investigate the relationship between iron markers (hemoglobin, serum iron, and serum ferritin), cortisol, insulin resistance (measured by HOMA-IR), and the development of GDM in pregnant women between 24 and 28 weeks of gestation. Methods: This analytical cross-sectional study included 150 pregnant women, divided into GDM and non-GDM groups based on oral glucose tolerance test results. Iron markers, cortisol, fasting plasma glucose, insulin, and HOMA-IR levels were measured. Data analysis was performed using SPSS version 25, employing descriptive and inferential statistics, including the Mann-Whitney U test for non-normally distributed variables. Results: Women with GDM exhibited significantly higher mean levels of hemoglobin (12.41±0.68 g/dl), serum iron (19.57±1.14 μmol/L), serum ferritin (25.92±2.58 ng/ml), cortisol (451.32±25.20 nmol/L), fasting plasma glucose (6.83±0.46 mmol/L), insulin (12.50±1.72 μU/mL), and HOMA-IR (3.83±0.78) compared to non-GDM participants (p&lt;0.001 for all comparisons). These findings underscore the pronounced biochemical and hormonal alterations associated with GDM. Conclusion: The study identified a significant association between elevated levels of iron markers, cortisol, and insulin resistance with the development of GDM. These findings suggest that monitoring these parameters during pregnancy could be crucial for the early detection and management of GDM. Individualized iron supplementation strategies may be necessary to prevent iron overload and minimize GDM risk.

Factors influencing gestational diabetes self-care among pregnant women in a Syrian Refugee Camp in Jordan.

The main objective of this study is to identify the level of self-care practices and the determinants of Gestational Diabetes Mellitus (GDM) among pregnant women residing in one of the refugee camps in Jordan. A cross-sectional study was conducted on a convenient sample of forty women diagnosed with GDM from the high-risk maternity clinic in one of the Syrian refugee camps in Jordan. The study used the Gestational Diabetes Management Self-Efficacy Scale (GDMSES), Diabetes Knowledge (DMK) assessment, and Diabetes Self-Care Activities Questionnaire (SDSCA) to measure the variables of interest. Descriptive analysis and Multiple logistic regression were used to assess for significant factors. Significant associations were found between the subcategories of diet, exercise, and blood sugar control in both the self-efficacy and self-activity scales (p < 0.01, p < 0.01, p < 0.05), respectively. Two factors were associated with higher GDM self-care: diabetes knowledge and higher self-efficacy toward GDM self-care (p < 0.05). The findings of this study highlight that pregnant women with GDM who have higher levels of self-efficacy and diabetes knowledge are more likely to achieve higher levels of GDM self-care. Beside developing health promotion programs to enhance women's self-efficacy in adhering to GDM care, adequate support and relevant resources to facilitate GDM management among refugee women are recommended. Future research for identifying other potential factors affecting GDM self-care among refugees is highly recommended.

Five days serum glucose stability at room-temperature in centrifuged fast-clotting serum tubes and the comparability with glucose in heparin-plasma and plasma containing citrate-stabilizer

Glucose measurement plays a central role in the diagnosis of gestational diabetes mellitus (GDM). Because of earlier reports of overestimation of glucose in the widely used tubes containing granulated glycolysis inhibitor, the study assessed the performance of fast-clotting serum tubes as an alternative sample for the measurement of glucose. Glucose concentration in fast-clotting serum was compared to lithium-heparin plasma placed in an ice-water slurry after sample collection and glucose stability at room-temperature was studied. Blood samples from 30 volunteers were drawn in four different types of tubes (serum separator tubes, fast-clotting serum tubes, lithium-heparin tubes and sodium fluoride, EDTA and a citrate buffer (NaF–EDTA–citrate) tubes, all from Greiner Bio-One). Lithium-heparin tubes were placed in an ice-water slurry until centrifugation in accordance with international recommendations and centrifuged within 10 min. After centrifugation, glucose was measured in all tubes (timepoint T 0) and after 24, 48, 72, 96 and 120 h of storage at 20–22 °C. NaF–EDTA–citrate plasma showed significant overestimation of glucose concentration by 4.7% compared to lithium-heparin plasma; fast-clotting serum showed glucose concentrations clinically equivalent to lithium-heparin plasma. In fast-clotting serum tubes, mean bias between glucose concentration after 24, 48, 72, 96 and 120 h and T 0 was less than 2.4%. All individual differences compared to T 0 were less than 6.5%. The results fulfill the acceptance criteria for sample stability based on biological variation. Fast-clotting serum tubes can be an alternative for the measurement of glucose in diagnosis and management of GDM and diabetes mellitus, especially when prolonged transportation is necessary.

Manchester Intermittent Diet in Gestational Diabetes Acceptability Study (MIDDAS-GDM): a two-arm randomised feasibility protocol trial of an intermittent low-energy diet (ILED) in women with gestational diabetes and obesity in Greater Manchester

IntroductionThe prevalence of gestational diabetes mellitus (GDM) is rising in the UK and is associated with maternal and neonatal complications. National Institute for Health and Care Excellence guidance advises first-line...

Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey.

This study aimed to assess the current status of gestational diabetes mellitus (GDM) diagnosis and management, and the demand for a digital healthcare system, in order to develop an optimal digital-based management model for GDM. An anonymous online survey was conducted targeting pregnant/postpartum women (Group W), internal medicine physicians (Group P), and obstetricians (group O) from September 6, 2022 to December 31, 2022. The survey assessed the women's knowledge of GDM and gathered information about healthcare professionals' (HCPs) current GDM management practices. All groups were asked about their acceptance of and demands for a digital healthcare system for GDM. Statistical comparisons between groups were conducted using the chi-square test or Fisher's exact test where appropriate. A total of 168 participants were in Group W, 185 in Group P, and 256 in Group O. Participants from all groups recognized the need for a digital healthcare system for GDM (Group W: 95.8%, Group P: 85.9%, Group O: 60%). However, HCPs showed less willingness to integrate these systems into their clinics than pregnant/postpartum women. Essential features identified were recording blood glucose levels and insulin, along with automatic data linkage from self-monitoring devices. Group W showed a higher preference for lab test access, search functionality, and fetal weight assessment than groups P and O (all P < .0001), while Groups P and O had a greater preference for recording insulin and maternal body weight compared to Group W (P = .0141 and .0023, respectively). Both pregnant/postpartum women and HCPs acknowledged the benefits of utilizing a digital healthcare system for managing GDM. However, there were differences in perspectives among these groups.