Effect of Prenatal Care on Perinatal Outcomes of Pregnant Women with Diabetes Mellitus: A Systematic Review.

Objective: to evaluate the effect of prenatal care (PC) on perinatal outcomes of pregnant women with diabetes mellitus (DM). Methods: systematic review developed according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines and conducted through the population, intervention, control, and outcomes (PICO) strategy. Clinical trials and observational studies were selected, with adult pregnant women, single-fetus pregnancy, diagnosis of DM, or gestational DM and who had received PC and/or nutritional therapy (NT). The search was carried out in PubMed, Scopus, and BIREME databases. The quality of the studies was evaluated using the tools of the National Heart, Lung and Blood Institute-National Institutes of Health (NHLBI-NIH). Results: We identified 5972 records, of which 15 (n=47 420 pregnant women) met the eligibility criteria. The most recurrent outcomes were glycemic control (14 studies; n=9096 participants), hypertensive disorders of pregnancy (2; n=39 282), prematurity (6; n=40 163), large for gestational age newborns (4; n=1556), fetal macrosomia (birth weight >4kg) (6; n=2980) and intensive care unit admission (4; n=2022). Conclusions: The findings suggest that PC interferes with the perinatal outcome, being able to reduce the risks of complications associated with this comorbidity through early intervention, especially when the NT is an integral part of this assistance.

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

BACKGROUND: The 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. METHODS: This 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. RESULTS: A 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. CONCLUSION: In 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 REGISTRATION: China Clinical Trials Registry ChiCTR1800017488. https://www.chictr.org.cn/.

Efficacy of information and communication technology interventions for the management of diabetes mellitus: An umbrella review and evidence map.

INTRODUCTION: We validated the quality of evidence and potential benefits of information and communication technology interventions on diabetes-related health outcomes. METHODS: We systematically searched PubMed/MEDLINE, Embase, Google Scholar, and CINAHL and manually searched the reference lists of the retrieved review articles from each database's inception to October 2022. Randomized controlled trials were included to determine the benefits of information and communication technology interventions on diabetes outcomes. RESULTS: Ten meta-analyses of randomized controlled trials were included, with 37 unique outcomes encompassing 379 studies and >70,000 participants across 47 countries and six continents. Information and communication technology intervention was associated with reduced HbA1c levels in patients with type 1 (moderate certainty), type 2 (moderate certainty), and gestational diabetes (low certainty) and showed potential benefits for type 2 diabetes, demonstrating a reduction in systolic blood pressure (high certainty), low-density lipoprotein cholesterol (low certainty), and body weight (low certainty), whereas those for gestational diabetes demonstrated a reduction in fasting (low certainty) and 2-h postprandial blood glucose levels (low certainty). CONCLUSION: This umbrella review and evidence map revealed varying evidence on the potential benefits of information and communication technology interventions for diabetes-related outcomes. Our results demonstrate these interventions to be novel treatment options for policymakers and physicians to establish personalized health strategies.

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

AIM: 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. METHOD: 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. RESULTS: 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). CONCLUSION: 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.

An overview of diabetes mellitus in pregnant women with obesity.

Rates of obesity are increasing world-wide with an estimated 1billion people projected to be obese by 2030 if current trends remain unchanged. Obesity currently considered one of the most significant associated factors of non-communicable diseases poses the greatest threat to health. Diabetes mellitus is an important metabolic disorder closely associated with obesity. It is therefore expected that with the increasing rates of obesity, the rates of diabetes in pregnancy will also be rising. This disorder may pre-date pregnancy (diagnosed or undiagnosed and diagnosed for the first time in pregnancy) or may be of onset in pregnancy. Irrespective of the timing of onset, diabetes in pregnancy is associated with both fetal and maternal complications. Outcomes are much better if control is maximised. Early diagnosis, multidisciplinary care and tailored management with optimum glycaemic control is associated with a significant reduction in not only pregnancy complications but long-term consequences on both the mother and offspring. This review brings together the current understanding of the pathogenesis of the endocrine derangements that are associated with diabetes in pregnancy how screening should be offered and management including pre-pregnancy care and the role of newer agents in management.

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.

[Obstetrics and Gynecology. Management and screening for gestational diabetes : what's new in 2023]. / Gynécologie-obstétrique. Prise en charge et dépistage du diabète gestationnel : ce qui a changé en 2023.

Gestational diabetes (GDM) is becoming increasingly common as a result of the increase in overweight, obesity and maternal age among pregnant women. As a result, in order to provide early hygienic and dietary management, it is recommended that targeted screening be carried out in the first trimester of pregnancy, based on the identification of risk factors in women. In the absence of risk factors, screening for gestational diabetes should be carried out for all pregnant women between 24 and 28 weeks' gestation. During pregnancy, the safest pharmacological treatment remains insulin, and the term of delivery should take account of additional risk factors, insulin requirements, fœtal growth kinetics and the balance of GDM. In the longer term, gestational diabetes should be regarded as a metabolic and cardiovascular warning sign.

Dû à l'augmentation du surpoids, de l'obésité et de l'âge maternel chez les femmes enceintes, le diabète gestationnel (DG) est de plus en plus fréquent. De ce fait, afin d'offrir une prise en charge hygiénodiététique précoce, il est recommandé d'effectuer un dépistage ciblé au premier trimestre de la grossesse pour identifier les facteurs de risque. En leur absence, le dépistage du DG doit être réalisé chez toutes les femmes enceintes entre 24 et 28 SA. Au cours de la grossesse, le traitement pharmacologique le plus sécuritaire reste l'insuline et le terme d'accouchement doit tenir compte des facteurs de risque surajoutés, des besoins en insuline, de la cinétique de croissance fœtale et de l'équilibre du DG. À plus long terme, le DG doit être considéré comme une alerte métabolique et cardiovasculaire.

Comparison of home exercise under supervision and self home exercise in pregnant women with gestational diabetes: randomized controlled trial.

OBJECTIVE: Exercise programs at home are successful in treating gestational diabetes by controlling blood glucose. The aim is to compare the efficacy of the self-directed home exercise program, the standard care alone and the supervised home exercise program in pregnant women with gestational diabetes on blood glucose, quality of life and pregnancy outcomes. METHODS: This randomized, parallel, single-blind study included 45 pregnant women who were 24-28 weeks of gestation. Participants were randomly divided into the supervised home exercise group (SHEG), home exercise group (HEG) and control group (CG). While the home exercises program was taught and controlled by a physiotherapist in SHEG, the home exercise brochure was given without any training by the gynecologist in HEG. Control group maintained their usual daily care. The home exercise intervention included low to moderate structured exercise performed three days per week for 8 weeks. Their glucose responses, quality of life and pregnancy outcomes were assessed pre- and post intervention. RESULTS: Fasting glucose and 2 h postprandial glucose levels were improved statistically in SHEG and HEG groups after intervention (p < 0.05). Differences in SHEG were statistically higher than HEG (p < 0.017). When the HEG and CG were compared, there was no superiority between the two groups in all outcome measures except the physical health. Additionally, there were no statistically significant differences in values of cesarean birth and preterm birth between groups (p > 0.05). CONCLUSIONS: This study revealed that pregnant women should be under the supervision of physiotherapists while doing home exercises. Clinical Trial Registration The trial was approved by the registration of ClinicalTrials.gov and registration number: NCT05195333.

Knowledge and care regarding long-term cardiovascular risk after hypertensive disorders of pregnancy and gestational diabetes.

BACKGROUND: Adverse pregnancy outcomes (APO), such as preeclampsia (PE) and gestational diabetes (GDM) are substantial risk factors for cardiovascular disease (CVD) later in life. Identifying these high-risk female individuals during pregnancy offers the possibility of preventing long-term CVD and chronic kidney disease via a structured therapeutic and surveillance plan. We aimed to evaluate the current practice of postpartum care in women after APO and the impact on the women's awareness about their future risk for CVD. METHODS: Women diagnosed with PE and GDM at the University Hospital of St. Poelten/Lilienfeld between 2015-2020 were identified and participated in a structured telephone interview about postpartum medical care and knowledge about the impact of APOs on long-term cardiovascular health. RESULTS: Of 161 out of the 750 women contacted, 29% (n = 46) were diagnosed with PE and 71% (n = 115) with GDM. One third of all women and up to 44% of women diagnosed with PE, were unaware that APOs are related to CVD. Women diagnosed with PE were less likely to receive postpartum care information than those with GDM (30.4% vs. 49.6%, p = 0.027), and only one third of all women after APOs were counselled by a physician or healthcare professional. Of the women 50% received recommendations regarding lifestyle changes after delivery; significantly more women with GDM than women with PE (54% vs. 37%, p = 0.05). Only 14% had at least one long-term follow-up. CONCLUSION: This study identified a significant deficit of structured postpartum care and a lack of awareness among women after APO and their healthcare providers about the increased risk of long-term CVD.

Effects of mHealth-Based Lifestyle Interventions on Gestational Diabetes Mellitus in Pregnant Women With Overweight and Obesity: Systematic Review and Meta-Analysis.

BACKGROUND: The increasing incidence of gestational diabetes mellitus (GDM) is a global health problem that is more likely to occur in pregnant women with overweight or obesity. Adhering to a healthy lifestyle is associated with a reduced risk of GDM. With the development of IT, mobile health (mHealth) interventions have become widely available in health care. However, there are no definitive conclusions on the effectiveness of mHealth-based lifestyle interventions in preventing GDM. OBJECTIVE: This study aims to evaluate the impact of mHealth-based lifestyle interventions on GDM and other pregnancy outcomes in pregnant women with overweight or obesity. METHODS: A systematic literature search was conducted in 5 English databases (MEDLINE, Embase, Web of Science, CENTRAL, and CINAHL) and 4 Chinese databases (CBM, CNKI, Vip, and Wanfang) to identify randomized controlled trials (RCTs) on the effectiveness of mHealth-based interventions for GDM from inception to January 10, 2023. In total, 2 authors independently screened the studies and extracted the data. The quality of the included studies was examined using the Cochrane risk-of-bias tool. Data synthesis was conducted using Review Manager (version 5.4; The Cochrane Collaboration). RESULTS: A total of 16 RCTs with 7351 participants were included in this study. The included studies were published between 2014 and 2021 and were conducted in China, the United States, Australia, New Zealand, the United Kingdom, Ireland, and Norway. The sample sizes of the studies ranged from 75 to 2202, and the duration of the mHealth-based lifestyle interventions ranged from 4 to 28 weeks. Compared with usual care, mHealth-based lifestyle interventions significantly reduced the incidence of GDM (odds ratio [OR] 0.74, 95% CI 0.56-0.96; P=.03; I2=65%), preterm birth (OR 0.65, 95% CI 0.48-0.87; P=.004; I2=25%), macrosomia (OR 0.59, 95% CI 0.40-0.87; P=.008; I2=59%), and gestational weight gain (mean difference=-1.12 kg, 95% CI -1.44 to -0.80; P<.001; I2=43%). The subgroup analysis showed that interventions delivered via apps (OR 0.55, 95% CI 0.37-0.83; P=.004; I2=44%), provided by obstetricians (OR 0.69, 95% CI 0.51-0.93; P=.02; I2=60%), and targeted at Asian populations (OR 0.44, 95% CI 0.34-0.58; P<.001; I2=0%) and that used the International Association of Diabetes and Pregnancy Study Groups diagnostic criteria (OR 0.58, 95% CI 0.39-0.86; P=.007; I2=69%) showed a statistically significant reduction in the risk of GDM. CONCLUSIONS: mHealth-based lifestyle interventions had a favorable impact on the prevention of GDM in pregnant women with overweight and obesity. Future studies need to further explore the potential of mHealth-based interventions for GDM through better design and more rigorous large-scale RCTs. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42021286995; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=286995.

Primary care management post gestational diabetes in Australia.

BACKGROUND: Women with a history of gestational diabetes (GD) have a high risk of developing diabetes and subsequent cardiovascular disease (CVD). AIM: To assess whether diabetes screening and CVD risk screening occurred in general practice (GP) among postpartum women with GD. METHODS: This is a retrospective study of clinical record data of women with GD, under active GP management, from the MedicineInsight programme, run by Australia's National Prescribing Service MedicineWise, with GP sites located in Australia from January 2015 to March 2021. Documentation of screening for diabetes, assessment of lipids and measurement of blood pressure (BP) was assessed using proportions and mixed-effects logistic regression with a log follow-up time offset. RESULTS: There were 10 413 women, with a mean age of 37.9 years (standard deviation, 7.6), from 406 clinics with a mean follow-up of 4.6 years (interquartile range, 1.8-6.2 years) A total of 29.41% (3062/10 413; 95% confidence interval [CI], 28.53-30.28) had not been assessed for diabetes, 37.40% (3894/10 413; 95% CI, 36.47-38.32) were not assessed for lipids and 2.19% (228/10 413; 95% CI, 1.91-2.47) had no BP documented. In total, 51.82% (5396/10 413; 95% CI, 50.86-52.78) were screened for all three (diabetes + lipids + BP) at least once. Obesity, comorbidities and dyslipidaemia were associated with increased likelihood of screening. New diabetes diagnosis was documented in 5.73% (597/10 413; 95% CI, 5.29-6.18) of the cohort. CONCLUSION: Screening for diabetes and hyperlipidaemia was suboptimal in this high-risk cohort of women with prior GD. Improved messaging that women with a GD diagnosis are at high cardiovascular risk may improve subsequent screening.

Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes.

Innovations in digital health and machine learning are changing the path of clinical health and care. People from different geographical locations and cultural backgrounds can benefit from the mobility of wearable devices and smartphones to monitor their health ubiquitously. This paper focuses on reviewing the digital health and machine learning technologies used in gestational diabetes - a subtype of diabetes that occurs during pregnancy. This paper reviews sensor technologies used in blood glucose monitoring devices, digital health innovations and machine learning models for gestational diabetes monitoring and management, in clinical and commercial settings, and discusses future directions. Despite one in six mothers having gestational diabetes, digital health applications were underdeveloped, especially the techniques that can be deployed in clinical practice. There is an urgent need to (1) develop clinically interpretable machine learning methods for patients with gestational diabetes, assisting health professionals with treatment, monitoring, and risk stratification before, during and after their pregnancies; (2) adapt and develop clinically-proven devices for patient self-management of health and well-being at home settings ("virtual ward" and virtual consultation), thereby improving clinical outcomes by facilitating timely intervention; and (3) ensure innovations are affordable and sustainable for all women with different socioeconomic backgrounds and clinical resources.

Association between foetal sex and adverse neonatal outcomes in women with gestational diabetes.

AIMS: Foetal male sex is associated with adverse perinatal outcomes. However, studies evaluating the impact of foetal sex on perinatal outcomes in women with gestational diabetes (GDM) are scarce. We studied whether male new-born sex is associated with neonatal outcomes, in women with GDM. METHODS: This is a retrospective study based on the national Portuguese register of GDM. All women with live-born singleton pregnancies between 2012 and 2017 were eligible for study inclusion. Primary endpoints under analysis were neonatal hypoglycaemia, neonatal macrosomia, respiratory distress syndrome (RDS) and neonatal intensive care unit (NICU) admission. We excluded women with missing data on the primary endpoint. Pregnancy data and neonatal outcomes between female and male new-borns were compared. Multivariate logistic regression models were built. RESULTS: We studied 10,768 new-borns in mothers with GDM, 5635 (52.3%) male, 438 (4.1%) had neonatal hypoglycaemia, 406 (3.8%) were macrosomic, 671 (6.2%) had RDS, and 671 (6.2%) needed NICU admission. Male new-borns were more frequently small or large for gestational age. No differences were observed on maternal age, body mass index, glycated haemoglobin, anti-hyperglycaemic treatment, pregnancy complications or gestational age at delivery. In the multivariate regression analysis, male sex was independently associated with neonatal hypoglycaemia [OR 1.26 (IC 95%: 1.04-1.54), p = 0.02], neonatal macrosomia [1.94 (1.56-2.41), p < 0.001], NICU admission [1.29 (1.07-1.56), p = 0.009], and RDS [1.35 (1.05-1.73, p = 0.02]. CONCLUSIONS: Male new-borns have an independent 26% higher risk of neonatal hypoglycaemia, 29% higher risk of NICU admission, 35% higher risk of RDS, and almost twofold higher risk of macrosomia, compared to female new-borns.

COVID-19, Pregnancy, and Diabetes Mellitus.

During the severe acute respiratory distress virus coronavirus type 2 (SARS-CoV-2) pandemic, many women were infected during their pregnancies. The SARS-CoV-2-induced coronavirus disease 19 (COVID-19) has an impact on maternal health and pregnancy outcomes; peripartum and perinatal morbidity and mortality are increased. Pregnancy is considered a risk factor for severe COVID-19 course. Additional risk factors during pregnancy are diabetes mellitus, gestational diabetes mellitus (GDM), and obesity. Systemic inflammation can lead to severe metabolic dysregulation with ketoacidosis. The endocrine pancreas is a target organ for SARS-CoV-2 and the fetal risk depends on inflammation of the placenta. Up to now there is no evidence that SARS-CoV-2 infection during pregnancy leads to permanent diabetes in mothers or their offspring via triggering autoimmunity or beta cell destruction. The frequently observed increased prevalence of GDM compared to the years before the pandemic is most likely due to changed lifestyle during lockdown. Furthermore, severe COVID-19 may be associated with the development of GDM due to worsening of glucose tolerance. Vaccination with a mRNA vaccine is safe and highly effective to prevent infection and to reduce hospitalization. Registries support offering evidence-based recommendations on vaccination for pregnant women. Even with the current omicron virus variant, there are increased risks for symptomatic and unvaccinated pregnant women.

Impact of Gestational Diabetes Detection Thresholds on Infant Growth and Body Composition: A Prospective Cohort Study Within a Randomized Trial.

OBJECTIVE: Gestational diabetes mellitus (GDM) is associated with offspring metabolic disease, including childhood obesity, but causal mediators remain to be established. We assessed the impact of lower versus higher thresholds for detection and treatment of GDM on infant risk factors for obesity, including body composition, growth, nutrition, and appetite. RESEARCH DESIGN AND METHODS: In this prospective cohort study within the Gestational Diabetes Mellitus Trial of Diagnostic Detection Thresholds (GEMS), pregnant women were randomly allocated to detection of GDM using the lower criteria of the International Association of Diabetes and Pregnancy Study Groups or higher New Zealand criteria (ACTRN12615000290594). Randomly selected control infants of women without GDM were compared with infants exposed to A) GDM by lower but not higher criteria, with usual treatment for diabetes in pregnancy; B) GDM by lower but not higher criteria, untreated; or C) GDM by higher criteria, treated. The primary outcome was whole-body fat mass at 5-6 months. RESULTS: There were 760 infants enrolled, and 432 were assessed for the primary outcome. Fat mass was not significantly different between control infants (2.05 kg) and exposure groups: A) GDM by lower but not higher criteria, treated (1.96 kg), adjusted mean difference (aMD) -0.09 (95% CI -0.29, 0.10); B) GDM by lower but not higher criteria, untreated (1.94 kg), aMD -0.15 (95% CI -0.35, 0.06); and C) GDM detected and treated using higher thresholds (1.87 kg), aMD -0.17 (95% CI -0.37, 0.03). CONCLUSIONS: GDM detected using lower but not higher criteria, was not associated with increased infant fat mass at 5-6 months, regardless of maternal treatment. GDM detected and treated using higher thresholds was also not associated with increased fat mass at 5-6 months.

Telemedicine in the treatment of gestational diabetes: An observational cohort study on pregnancy outcomes and maternal satisfaction.

AIMS: Gestational diabetes treatment requires several outpatient consultations from diagnosis until delivery in order to prevent hyperglycaemia, which is associated with maternal and fetal complications. There is limited evidence in the literature about telemedicine superiority in improving pregnancy outcomes for women with gestational diabetes. The primary aim of the study was to evaluate maternal and fetal outcomes, while the secondary aim was to estimate the degree of satisfaction with gestational diabetes treatment, comparing telemedicine versus outpatient care. METHODS: This observational cohort study involved 60 consecutive women with gestational diabetes treated at the Diabetology Unit of Ferrara: 27 were followed up through a weekly remote control method (telemedicine group) and 33 in ambulatory clinics every 2 or 3 weeks (conventional group). After giving birth, 56 women responded to the modified Oxford Maternity Diabetes Treatment Satisfaction Questionnaire to assess their satisfaction with diabetes care. RESULTS: No statistically significant differences were found in most of the maternal and neonatal parameters evaluated in both groups. The questionnaire scores were positive in all areas investigated. Telemedicine follow-up made women feel more controlled (p = 0.045) and fit better with their lifestyle (p = 0.005). It also emerged that almost all women treated with telemedicine would recommend this method to a relative or a friend. CONCLUSIONS: Telemedicine follow-up proved to be safe both in terms of metabolic control and pregnancy outcomes; furthermore, it significantly decreased the need for outpatient consultations and increased women's satisfaction. Studying the impact of telemedicine is also necessary, considering the current difficulties associated with the Sars-COV-2 pandemic.

A qualitative study exploring partner involvement in the management of gestational diabetes mellitus: The experiences of women and partners.

AIMS: The aims of the study were to explore the experiences of women with gestational diabetes mellitus (GDM) and their partners and examine the factors influencing partner involvement in GDM management, seeking to inform a targeted couple-based intervention. DESIGN: A descriptive qualitative study. METHODS: We conducted semi-structured interviews with 14 women with GDM and their partners. Participants were recruited through convenience sampling from a tertiary hospital in Xi'an, China. Data were analysed using thematic analysis. RESULTS: Three themes and 12 subthemes were identified. Theme I: Women's expectations of their partner's involvement in GDM management-practical support and emotional support. Theme II: Partner involvement in GDM management-constructive involvement, unhelpful involvement with good intentions and insufficient involvement. Theme III: Factors that influence partner involvement in GDM-knowledge of GDM, GDM risk perception, health consciousness, attitudes towards the treatment plan, couple communication regarding GDM management, family roles and appraisal of GDM management responsibility. CONCLUSION: Women desired practical and emotional support from partners. The types of partner involvement in GDM management varied. Some partners provided constructive support, while some partners' involvement was limited, non-existent or actively unhelpful. By combining these results with the factors influencing partner involvement, our findings may help healthcare professionals develop strategies to involve partners in GDM care and enhance women's ability to manage GDM. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: Partner involvement in GDM care may help them understand and better attend to women's needs, thus improving their experience and potential outcomes. This study highlights novel factors that need to be considered in developing couple-based interventions for this population. REPORTING METHOD: The reporting follows the COREQ checklist. PATIENT OR PUBLIC CONTRIBUTION: Some patients were involved in data interpretation. There is no public contribution.

Effectiveness of remote monitoring for glycemic control on maternal-fetal outcomes in women with gestational diabetes mellitus: A meta-analysis.

BACKGROUND: The current pandemic and future public health emergencies highlight the importance of evaluating a telehealth care model. Previous studies have reached mixed conclusions about the effectiveness of remote monitoring on glycemic control and maternal and infant outcomes in women with gestational diabetes mellitus (GDM). OBJECTIVES: This meta-analysis aimed to evaluate the effectiveness of remote blood glucose monitoring for women with gestational diabetes mellitus and to provide evidence-based guidance on the management of women with gestational diabetes mellitus for policymakers and healthcare providers during situations such as pandemics or natural disasters. METHODS: The Cochrane Library, PubMed, Web of Science, EBSCO, Embase, Medline, CINAHL databases, and ClinicalTrials.gov were systematically searched from their inception to July 10, 2021. Randomized controlled trials (RCTs) published in English with respect to remote blood glucose monitoring in women with GDM were included in the meta-analysis. Two independent reviewers performed data extraction and assessed the quality of the studies. Risk ratios, mean differences, 95% confidence intervals, and heterogeneity were calculated. RESULTS: A total of 1265 participants were included in the 11 RCTs. There were no significant differences in glycemic control and maternal-fetal outcomes between the remote monitoring group and a standard care group, which included glycosylated hemoglobin (HbA1c), fasting blood glucose, mean 2-h postprandial blood glucose, caesarean birth, gestational weight gain, shoulder dystocia, neonatal hypoglycemia, and other outcomes. CONCLUSION: This meta-analysis reveals that it is unclear if remote glucose monitoring is preferable to standard of care glucose monitoring. To improve glycemic control and maternal-fetal outcomes during the current epidemic or other natural disasters, the implementation of double-blind RCTs in the context of simulating similar disasters remains to be studied in the future.

Antenatal and intrapartum care for women with gestational diabetes: a best practice implementation project.

OBJECTIVES: This project aimed to improve the quality of antenatal and intrapartum care for women with gestational diabetes (GD) by increasing nursing and midwifery care compliance with best practice recommendations. INTRODUCTION: GD is one of the most common diseases that can lead to several important maternal and fetal complications. METHODS: This project was based on JBI's evidence implementation approach and included a baseline audit, the implementation of strategies, and a follow-up audit. The project was conducted in an obstetrics-gynecology department of a hospital in Bucharest, and the sample included 30 pregnant women with GD from that ward. RESULTS: Regarding antenatal care, the baseline audit revealed low compliance (63%-87%) for criterion 2 (specific education), criterion 3 (multidisciplinary team), criterion 4 (individualized care plan), criterion 5 (training on self-monitoring), criterion 8 (dietician consultation), and criterion 10 (physical exercise program). Compliance with criterion 9 (physiotherapist consultation) was nil. Higher compliance (90%-100%) was reported for criterion 1 (screening for GD), criterion 6 (self-monitoring), and criterion 7 (maintenance of glycemic values). The intrapartum care audit criteria regarding maintaining blood glucose levels had compliance rates of 97% (criteria 13 and 14), 73% (criterion 11), and 67% (criterion 12). As a result of implementing the most appropriate strategies, maximum improvement was observed for all 12 audit criteria found to be deficient in the baseline audit. CONCLUSIONS: Strategies were identified and applied to successfully implement the best practices (educational programs and improved procedures). However, specific actions, such as regular targeted audits and continuous monitoring, are needed to maintain long-term results.

Baseline Perceptions of Women With Gestational Diabetes Mellitus and Health Care Professionals About Digital Gestational Diabetes Mellitus Self-Management Health Care Technologies: Interview Study Among Patients and Health Care Professionals.

BACKGROUND: Gestational diabetes mellitus (GDM) is a significant medical complication of pregnancy that requires close monitoring by a multidisciplinary health care team. The growing sophistication of mobile health (mHealth) technology could play a significant supporting role for women with GDM and health professionals (HPs) regarding GDM management. OBJECTIVE: This study included 2 phases. The aim of phase 1 was to explore the perceptions of HPs and women with GDM regarding the use of mHealth for GDM self-management and to identify their needs from these technologies. The aim of phase 2 was to explore the perceptions of women with GDM about their experiences with a state-of-the-art app for managing GDM that was offered to them during the COVID-19 lockdown. This phase aimed to understand the impact that COVID-19 has had on women's perceptions about using technology to manage their GDM. By combining both phases, the overall aim was to establish how perceptions about GDM self-management technology have changed owing to the pandemic restrictions and experience of using such technology. METHODS: In total, 26 semistructured interviews were conducted in 2 phases. In phase 1, overall, 62% (16/26) of the participants, including 44% (7/16) of HPs, 50% (8/16) of women with GDM, and 6% (1/16) of women in the postpartum period with GDM history participated in the interviews. In phase 2, overall, 38% (10/26) of women with GDM participated in the interviews. NVivo (QSR International) was used to extract qualitative data, which were subjected to thematic analysis. RESULTS: Phase 1 identified 3 themes from the interviews with women with GDM: fitting with women's lifestyle constraints, technology's design not meeting women's needs, and optimizing the technology's design to meet women's needs. Overall, 3 themes were derived from the interviews with HPs: optimizing the technology's design to improve the quality of care, technology to support women's independence, and limitations in the care system and facilities. Analysis of phase-2 interviews identified 2 further themes: enhancing the information and functionalities and optimizing the interface design. In both phases, participants emphasized a simple and user-friendly interface design as the predominant positive influence on their use of technology for GDM management. CONCLUSIONS: The combined findings underlined similar points. Poor usability, data visualization limitations, lack of personalization, limited information, and lack of communication facilities were the prime issues of current GDM self-management mHealth technology that need to be addressed. The analysis also revealed how women with GDM should play a vital role in gathering the requirements for GDM self-management technology; some needs were identified from in-depth discussion with women with GDM that would be missed without their involvement.