Comparison of the clinical characteristics, glycemic control, and pregnancy outcomes between women with gestational diabetes mellitus in waves I and III of the COVID-19 pandemic: a reference center report.

OBJECTIVES: The medical care of patients with gestational diabetes mellitus (GDM) during the COVID-19 pandemic was influenced by changing epidemiological conditions and government regulations. Aim - To compare the clinical pregnancy data of GDM women between waves I and III of the pandemic. MATERIAL AND METHODS: We performed a retrospective analysis of medical records from the GDM clinic and compared the periods of March-May 2020 (wave I) and March-May 2021 (wave III). RESULTS: Women with GDM during wave I (n = 119) compared to wave III (n = 116) were older (33.0 ± 4.7 vs 32.1 ± 4.8 years; p = 0.07), booked later (21.8 ± 8.4 vs 20.3 ± 8.5 weeks; p = 0.17), and had their last appointment earlier (35.5 ± 2.0 vs 35.7 ± 3.2 weeks; p < 0.01). Telemedicine consultations were used more frequently during wave I (46.8% vs 24.1%; p < 0.01), while insulin therapy was used less often (64.7% vs 80.2%; p < 0.01). Mean fasting self-measured glucose did not differ (4.8 ± 0.3 vs 4.8 ± 0.3 mmol/L; p = 0.49), but higher postprandial glucose was reported during wave I (6.6 ± 0.9 vs 6.3 ± 0.6 mmol/l; p < 0.01). Pregnancy outcome data were available for 77 wave I pregnancies and 75 wave III pregnancies. The groups were similar in terms of gestational week of delivery (38.3 ± 1.4 vs 38.1 ± 1.6 weeks), cesarean sections (58.4% vs 61.3%), APGAR scores (9.7 ± 1.0 vs 9.7 ± 1.0 pts), and birth weights (3306.6 ± 457.6 g vs 3243.9 ± 496.8 g) (p = NS for all). The mean wave I neonate length was slightly higher (54.3 ± 2.6 cm vs 53.3 ± 2.6 cm; p = 0.04). CONCLUSIONS: We identified differences between wave I and wave III pregnancies for several clinical characteristics. However, nearly all pregnancy outcomes were found to be similar.

An Evaluation of Virtual Care for Gestational Diabetes Using the Quadruple Aim Framework: Assessment of Patient and Provider Experience, Cost, and Clinical Outcomes.

OBJECTIVE: Our aim in this study was to evaluate the impact of virtual care for gestational diabetes mellitus (GDM) in the context of the COVID-19 pandemic. METHODS: This multiple methods program evaluation used the Quadruple Aim Framework. The impact on patient experience, cost, and provider satisfaction was assessed using surveys and interviews. Chi-square and Poisson statistics were used to compare clinical outcomes before (April 2019 to February 2020) and after (May 2020 to March 2021) the shift to virtual care. RESULTS: Patient experience surveys were completed by 85 women. Most of them rated their virtual care experience as good or excellent (93%), with a preference for continued virtual visits in the future (84%). Most respondents felt virtual care saved them money (93%) and time (98%). Six health-care providers at the Diabetes in Pregnancy Clinic were interviewed and all believed the switch to virtual care was largely positive. Overall, interview transcripts revealed that health-care providers were happy with the transition, although nurses initially perceived an increased workload. There were no significant differences in rates of cesarean section procedures, macrosomia, neonatal intensive care unit admissions or the proportion of appointments at which insulin was initiated between in-person and virtual care patient outcomes. There was a decreased proportion of missed appointments after the switch to virtual care (6.15% vs 1.21%, p<0.0001). CONCLUSIONS: There has been high patient and provider satisfaction with virtual GDM care, with no difference in clinical outcomes and fewer missed appointments. Virtual GDM care should remain an option in the future.

A global view of hypertensive disorders and diabetes mellitus during pregnancy.

Two important maternal cardiometabolic disorders (CMDs), hypertensive disorders in pregnancy (HDP) (including pre-eclampsia) and gestational diabetes mellitus (GDM), result in a large disease burden for pregnant individuals worldwide. A global consensus has not been reached about the diagnostic criteria for HDP and GDM, making it challenging to assess differences in their disease burden between countries and areas. However, both diseases show an unevenly distributed disease burden for regions with a low income or middle income, or low-income and middle-income countries (LMICs), or regions with lower sociodemographic and human development indexes. In addition to many common clinical, demographic and behavioural risk factors, the development and clinical consequences of maternal CMDs are substantially influenced by the social determinants of health, such as systemic marginalization. Although progress has been occurring in the early screening and management of HDP and GDM, the accuracy and long-term effects of such screening and management programmes are still under investigation. In addition to pharmacological therapies and lifestyle modifications at the individual level, a multilevel approach in conjunction with multisector partnership should be adopted to tackle the public health issues and health inequity resulting from maternal CMDs. The current COVID-19 pandemic has disrupted health service delivery, with women with maternal CMDs being particularly vulnerable to this public health crisis.

Global burden of early pregnancy gestational diabetes mellitus (eGDM): A systematic review.

AIMS: Gestational diabetes mellitus (GDM) diagnosed during the first trimester of pregnancy is called 'early pregnancy Gestational Diabetes Mellitus' (eGDM). The burden of eGDM has only been studied sporadically. This review aims to understand the global burden of eGDM in terms of prevalence, risk factors, pregnancy outcomes, treatment and postpartum dysglycemia.  METHODS: A review of epidemiologic studies reporting on early GDM screening as per Joanna Briggs Institute (JBI) methodology for prevalence reviews was conducted. A customized search strategy was used to search electronic databases namely, PubMed, CINAHL, EMBASE, Cochrane Library, Scopus, MEDLINE, Ovid, ScienceDirect, and Google Scholar. Three independent reviewers reviewed studies using Covidence software. Observational studies irrespective of study design and regardless of diagnostic criteria were included. Quality of evidence was appraised, and findings were synthesized. RESULTS: Of 58 included studies, 41 reported a prevalence of eGDM, ranging from 0.7 to 36.8%. Body mass index (BMI), previous history of GDM, family history of diabetes and multiparity were reported as eGDM risk factors. Adverse pregnancy outcomes associated with eGDM were macrosomia, caesarean delivery, induction of labour, hypertension, preterm delivery, and shoulder dystocia. The incidence of postpartum dysglycemia and the need for insulin was higher in women with eGDM. The risk of bias was moderate. Heterogeneity of studies is a limitation. Meta-analysis was not performed. CONCLUSIONS: There is heterogeneity in the prevalence of eGDM and intrapartum and postpartum ill effects for the mother and the offspring. There is a need to develop a universal screening protocol for eGDM.

The Effectiveness of Telemedical Monitoring Program DiabCare Tirol for Patients with Gestational Diabetes Mellitus.

The aim of this paper was to evaluate the effect of telemedical care of gestational diabetes mellitus (GDM) patients with the digital treatment pathway model DiabCare Tirol. METHODS: 27 courses of patients with GDM, who were telemonitored through the integrated care program DiabCare Tirol in a diabetes outpatient clinic in Tyrol, Austria during the COVID-19 pandemic in 2020, were analyzed. In addition, randomized controlled trials (RCTs) on telemedicine interventions for GDM were researched, and their results were used for comparison with this disease management method. The patient outcome analysis was used to examine the effects of the integrated care program involving telemonitoring support and compared them to the results of RCTs in which participants were randomly assigned to one of two groups, either mobile monitored or standard treatment group. RESULTS: The feasibility of the digital treatment pathway model was confirmed in practice, as the trend analysis of the 27 GDM patients involved showed significantly improved glycaemic control. Results of RCT studies tend to support the findings of DiabCare Tirol. CONCLUSION: Benefits of telemonitoring with integrated care to support conventional therapy cannot be dismissed, especially in times of the pandemic. Continuous outcome research with larger patient numbers will be necessary to confirm the effectiveness of telemonitoring in a regular care setting.

Evaluation of the implementation of a best practice gestational diabetes model of care in two Australian metropolitan services.

INTRODUCTION AND AIMS: Dissemination and local adaptation of best practice models of care are often poorly achieved in knowledge translation processes. Understanding and documenting the iterative cycles of improvement can elucidate barriers, enablers and benefits of the process for future adoption and service integration improvements. This project examined the process of local adaptation for a third stage translation of a gestational diabetes dietetic model of care through collaboration with two Queensland (Australia) hospitals. METHODS: Using a hub (research team)-spoke (sites) model, two Queensland Hospital and Health Service Districts were supported to assess and address evidence-practice dietetic model of care gaps in their gestational diabetes mellitus (GDM) services. Sites selected demonstrated strong GDM team cohesiveness and project commitment. The project phases were: Consultation; Baseline; Transition; Implementation; and Evaluation. RESULTS: Despite strong site buy-in and use of a previously successful model of care dissemination and adoption strategy, unexpected global, organisational, team and individual barriers prevented successful implementation of the model of care at both sites. Barriers included challenges with ethics and governance requirements for health service research, capacity to influence and engage multidisciplinary teams, staff turnover and coronavirus disease 2019's (COVID-19's) disruption to service delivery. CONCLUSION: This third iteration of the dissemination of a best practice model of nutrition care for GDM in two Queensland Hospital and Health Service Districts did not achieve successful clinical or process outcomes. However, valuable learnings and recommendations regarding future clinical and research health service redesign aligned with best practice are suggested.

The psychosocial challenges associated with gestational diabetes mellitus: A systematic review of qualitative studies.

BACKGROUND: Gestational diabetes is a disease with complex management that requires multidisciplinary collaboration. To achieve treatment goals, in addition to using medications and paying attention to exercise and diet, it is also important to take into account the mental health and psychosocial aspects of diabetes management. This study aimed to highlight these challenges associated with gestational diabetes. METHOD: This qualitative systematic review involved a search of the following databases: CINAHL, EMBASE, MEDLINE, and PsycINFO. Title, abstract, and full-text screening was done using Covidence software, and quality assessment of the included papers was conducted using the Critical Appraisal Skills Programme Checklist. Enhancing transparency in reporting the synthesis of the qualitative research statement (ENTREQ) was used in the design of this paper. Data synthesis was done using meta-aggregation method. RESULTS: Out of the 2440 articles searched, 24 were qualitatively analyzed. The CASP score of the included papers was optimal. The 514 findings extracted from the 24 studies were aggregated into five broad conceptual categories: psychological challenges, socio-cultural challenges, information-communication challenges, challenges associated with a lifestyle change, and challenges related to health care. CONCLUSION: Recognizing the psychosocial challenges associated with gestational diabetes and developing support packages tailored to psychosocial needs can help improve the management of these patients.

Gestational diabetes mellitus and COVID-19, clinical characteristics and review of the literature.

There is a lack of information about the maternal-fetal outcomes in patients with gestational diabetes and concomitant COVID-19; and there is even less information about the outcomes of pregnant women with gestational diabetes and COVID-19. We present a case of a primigravidae of 20-year-old woman with gestational diabetes and COVID-19 and a review of the literature.

Diabetes Management Delivery and Pregnancy Outcomes in Women with Gestational Diabetes Mellitus during the First Wave of the 2020 COVID-19 Pandemic: A Single-Reference Center Report.

OBJECTIVES: The COVID-19 pandemic has forced a rapid adaptation of healthcare services to secure care for many patient groups. This includes women with gestational diabetes mellitus (GDM). We evaluated the impacts of the first COVID-19 wave on parameters such as the GDM treatment, glycemic control, and pregnancy outcomes. METHODS: In this retrospective study from a reference diabetes center (Krakow, Poland), we compared patient data from two different time periods: the first wave of the COVID-19 pandemic (March 2020-June 2020) and the preceding five months (October 2019-February 2020). Data was collected from the medical records and telephone surveys. RESULTS: We included 155 consecutive women (group N1 = 73 and group N2 = 82 from the COVID-19 pandemic period and non-COVID-19 period, respectively). During the COVID-19 pandemic, almost half of all GDM women (N1 = 36, 49.3%) used telemedicine as a method of contacting their diabetic specialists while this tool was not utilized in the earlier period. Moreover, these patients reported difficulties in performing blood glucose self-control more often (N1 = 20, 27.4%, vs N2 = 7, 8.5%; p ≤ 0.01) and spent less time on diabetes education than the control group on average (N1 = 39, 53.4%, vs N2 = 9, 9.8% below 2 hours of training; p ≤ 0.01). Most analyzed glycemic parameters and pregnancy outcomes were similar. Differences were found with respect to the incidence of prolonged labor (N1 = 12, 16.4%, vs N2 = 3, 3.7%; p ≤ 0.01) and preeclampsia (N1 = 0 vs N2 = 7, 8.5%; p = 0.01). CONCLUSION: In this single-center observational study, the first wave of the COVID-19 pandemic did not seem to have a negative impact on pregnancy outcomes in GDM women, despite the difficulties in diabetes management delivery.

COVID-19 vaccination in pregnant and lactating diabetic women.

AIM: To discuss available information on the opportunity for pregnant women affected by diabetes/obesity to receive COVID-19 vaccine. DATA SYNTHESIS: Pregnant women with SARS-CoV-2 (COVID-19) infection are at high risk for severe acute respiratory syndrome and adverse outcomes. Pregnant women with severe COVID-19 present increased rates of preterm delivery (<37 gestational weeks), cesarean delivery and neonatal admissions to the intensive care unit. Comorbidity such as diabetes (pregestational or gestational) or obesity further increased maternal and fetal complications. It is known that diabetic or obese patients with COVID-19 present an unfavorable course and a worse prognosis, with a direct association between worse outcome and suboptimal glycol-metabolic control or body mass index (BMI) levels. Critical COVID-19 infection prevention is important for both mother and fetus. Vaccination during pregnancy is a common practice. Vaccines against COVID-19 are distributed across the world with some population considered to have a priority. Since pregnant women are excluded from clinical trials very little information are available on safety and efficacy of COVD-19 vaccines during pregnancy. However, it is well known the concept of passive immunization of the newborn obtained with transplacental passage of protective antibodies into the fetal/neonatal circulation after maternal infection or vaccination. Moreover, it has been reported that COVID-19 vaccine-induced IgG pass to the neonates through breastmilk. Therefore, maternal vaccination can protect mother, fetus and baby. CONCLUSIONS: After an individual risk/benefit evaluation pregnant and lactating women should be counselled to receive COVID-19 vaccines.

M♡THer, an mHealth System to Support Women with Gestational Diabetes Mellitus: Feasibility and Acceptability Study.

Background: Gestational diabetes mellitus (GDM) is defined as glucose intolerance first identified during pregnancy. Delays in diagnosis and challenges in management can lead to serious adverse outcomes for the mother and child. As rates of GDM diagnosis increase worldwide, health systems and maternity services have become increasingly strained, especially with new restrictions around in-person care due to the current COVID-19 pandemic. Mobile health (mHealth) has increasingly shown promise for management of chronic disease, driven by smartphone adoption and increased internet connectivity. The aim of this work was to evaluate the adoption and multidisciplinary care coordination of an mHealth platform called M♡THer in a cohort of women with first-time diagnosis of GDM. Methods: The mHealth platform for GDM management was developed incorporating a smartphone application, clinician portal, and secure cloud data storage. Forty participants with a first-time diagnosis of GDM were recruited to use the app during their pregnancy. User attitudes from clinicians and women were captured through post-hoc surveys, and app-usage metrics. Results: Clinicians and women indicated satisfaction and ease of use of the mHealth platform, with some technological challenges around wireless connectivity. Blood glucose reviews and antenatal contact were higher with use of the M♡THer app compared with a matched historical sample. Conclusion: The M♡THer mHealth platform is a new comprehensive tool for health care of women with GDM, and may provide an effective new avenue to enhance multidisciplinary care in the face of COVID-19 disruptions and challenges to traditional care pathways.

Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine.

We describe our experience in the remote management of women with gestational diabetes mellitus during the COVID-19 pandemic. We used a mobile phone application with artificial intelligence that automatically classifies and analyses the data (ketonuria, diet transgressions, and blood glucose values), making adjustment recommendations regarding the diet or insulin treatment.

Temporary changes in clinical guidelines of gestational diabetes screening and management during COVID-19 outbreak: A narrative review.

BACKGROUND AND AIMS: New clinical approaches are needed to minimize complications of gestational diabetes during the COVID-19 outbreak with timely screening and proper management. The present study aims to highlight changes in the clinical guideline for gestational diabetes during the pandemic. METHODS: In a narrative review, multiple databases were searched. Furthermore, online searches were conducted to identify guidelines or support documents provided by NGOs, local health authorities, and societies and organizations in the field of diabetes and obstetrics. RESULTS: We included five national guidelines that were published in English from Canada, the United Kingdom, Australia, New Zealand, and Australia health agencies. FBG, A1C, RPG were recommended as alternative tests instead of a 2-h oral glucose tolerance test (OGGT) for GDM screening at 24-28 weeks of gestation. Recommendations also included a deferral of postpartum screening till the end of the pandemic, or postponement of testing to 6-12 months after delivery, use telemedicine and telecare. CONCLUSIONS: Updated temporary changes in clinical guidelines are sensible and accommodates social distancing and minimizes risk of exposure to COVID-19. Despite many unsolved controversies in screening, treatment, and follow-up of gestational diabetes, it seems involvement with novel coronavirus have made a reach to a global agreement simpler.