The risk of development and progression of diabetic retinopathy in a group of ethnically diverse pregnant women with diabetes attending three regional Diabetic Eye Screening Programs in the UK.

BACKGROUND/OBJECTIVES: Currently, all pregnant women with diabetes are asked to attend screening at least twice during pregnancy, even if no retinopathy is detected in early pregnancy. We hypothesise that for women with no diabetic retinopathy in early pregnancy, the frequency of retinal screening may be safely reduced. SUBJECTS/METHODS: In this retrospective cohort study, data for 4718 pregnant women attending one of three UK Diabetic Eye Screening (DES) Programmes between July 2011 and October 2019 was extracted. The women's UK DES grades at 13 weeks gestation (early pregnancy) and 28 weeks gestation (late pregnancy) were recorded. Descriptive statistics were used to report baseline data. Ordered logistic regression was used to control for covariates, such as age, ethnicity, diabetes duration, and diabetes type. RESULTS: Of the women with grades recorded for both early and late pregnancy, a total of 3085 (65.39%) women had no retinopathy in early pregnancy, and 2306 (74.7%) of these women did not develop any retinopathy by 28 weeks. The number of women without retinopathy in early pregnancy who developed referable retinopathy was 14 (0.45%), none of whom required treatment. Diabetic Retinopathy in early pregnancy remained a significant predictor of DES grade in late pregnancy when covariates of Age, Ethnicity, and Diabetes Type were controlled for (P < 0.001). CONCLUSIONS: In summary, this study has demonstrated that the burden of managing diabetes for pregnant mothers may be safely reduced by limiting the number of diabetic eye screening appointments in women who have no retinal changes in early pregnancy. Screening of women with retinopathy in early pregnancy should continue in line with current UK guidance.

Diabetes technology including automated insulin delivery systems to manage hyperglycemia in a failing pancreatic graft: Case series of people with type 1 diabetes and a pancreas kidney or pancreas-only transplant.

We share our experience of using continuous subcutaneous insulin infusion (CSII) therapy and diabetes technology in six people (5 men) with type 1 diabetes (mean duration 36 years), who developed hyperglycemia post-simultaneous kidney/pancreas (n = 5) or pancreas only (n = 1) transplant. All were on immunosuppression and multiple daily injections of insulin prior to CSII. Four people were started on automated insulin delivery, and two people on CSII and intermittently scanned continuous glucose monitoring. With diabetes technology, the median time in range glucose improved from 37% (24-49%) to 56.6% (48-62%), and similarly, glycated hemoglobin fell from 72.7 mmol/mol (72-79 mmol/mol) to 64 mmol/mol (42-67 mmol/mol; P < 0.05 for both) with no concomitant increase in hypoglycemia. Use of diabetes technology improved glycemic parameters in people with type 1 diabetes with failing pancreatic graft function. Early use of such technology should be considered to improve diabetes control in this complex cohort.

Interventions to enhance pre-pregnancy care for women with type 2 diabetes: A systematic review of the literature.

AIMS: The aim of the study was to examine the content and impact of interventions that have been used to increase the uptake of pre-pregnancy care for women with type 2 diabetes, and their impact on maternal and fetal outcomes. METHODS: A systematic search of multiple databases was conducted in November 2021, and updated July 2022, to identify studies assessing interventions to enhance pre-pregnancy care for women with type 2 diabetes. Over 10% of articles were screened by two reviewers at title and abstract phase, after which all selected full-text articles were screened by two reviewers. Quality assessment was conducted using the Critical Appraisal Skills Programme checklist for cohort studies. Meta-analysis was not possible due to study heterogeneity; therefore, narrative synthesis was conducted. RESULTS: Four eligible cohort studies were identified. The conclusions able to be drawn by this review were limited as women with type 2 diabetes (n = 800) were in the minority in all four studies (35%-40%) and none of the interventions were exclusively tailored for them. The uptake of pre-pregnancy care was lower in women with type 2 diabetes (8%-10%) compared with other participant groups in the studies. Pregnancy preparation indicators generally improved among all groups exposed to pre-pregnancy care, with varying impact on pregnancy outcomes. CONCLUSIONS: This review demonstrates that previous interventions have had a limited impact on pre-pregnancy care uptake in women with type 2 diabetes. Future studies should focus on tailored interventions for improving pre-pregnancy care for women with type 2 diabetes, particularly those from ethnic minorities and living in poorer communities.

Rollout of Closed-Loop Technology to Pregnant Women with Type 1 Diabetes: Healthcare Professionals' Views About Potential Challenges and Solutions.

Aims: To explore healthcare professionals' views about the training and support needed to rollout closed-loop technology to pregnant women with type 1 diabetes. Methods: We interviewed (n = 19) healthcare professionals who supported pregnant women using CamAPS FX closed-loop during the Automated insulin Delivery Amongst Pregnant women with Type 1 diabetes (AiDAPT) trial. Data were analyzed descriptively. An online workshop involving (n = 15) trial team members was used to inform recommendations. Ethics approvals were obtained in conjunction with those for the wider trial. Results: Interviewees expressed enthusiasm for a national rollout of closed-loop, but anticipated various challenges, some specific to use during pregnancy. These included variations in insulin pump and continuous glucose monitoring expertise and difficulties embedding and retaining key skills, due to the relatively small numbers of pregnant women using closed-loop. Inexperienced staff also highlighted difficulties interpreting data downloads. To support rollout, interviewees recommended providing expert initial advice training, delivered by device manufacturers together with online training resources and specific checklists for different systems. They also highlighted a need for 24 h technical support, especially when supporting technology naive women after first transitioning onto closed-loop in early pregnancy. They further recommended providing case-based meetings and mentorship for inexperienced colleagues, including support interpreting data downloads. Interviewees were optimistic that if healthcare professionals received training and support, their long-term workloads could be reduced because closed-loop lessened women's need for glycemic management input, especially in later pregnancy. Conclusions: Interviewees identified challenges and opportunities to rolling-out closed-loop and provided practical suggestions to upskill inexperienced staff supporting pregnant women using closed-loop. A key priority will be to determine how best to develop mentorship services to support inexperienced staff delivering closed-loop. Clinical Trials Registration: NCT04938557.

The gestational diabetes future diabetes prevention study (GODDESS): A partially randomised feasibility controlled trial.

OBJECTIVES: To assess the feasibility of an ante- and post-natal lifestyle intervention for women with gestational diabetes mellitus (GDM) to reduce type 2 diabetes risk. DESIGN: A partially randomised patient preference feasibility trial. SETTING: Diabetes antenatal clinics in two inner-London hospitals, UK. PARTICIPANTS: Pregnant women ≥18 years with a GDM diagnosis and pre-pregnancy body mass index of ≥25kg/m2. INTERVENTION: Participants in the intervention group were offered four motivational interview-based sessions (two antenatally and two postnatally, at 3 and 6 months postpartum), a WhatsApp support group, a FitBit and electronic self-help resources. OUTCOME MEASURES: Recruitment; retention; intervention dose received; data completion; adaptions; proportion achieving ≥5% weight loss; weight change, blood glucose; blood pressure; diet, physical activity, breastfeeding and depression. Clinical outcomes were measured at baseline and 6 months postpartum. RESULTS: 50 participants were recruited from 155 eligible women (32% recruitment rate). Thirty-four were recruited to the intervention group (23 following randomisation (RI-group) and 11 based on preference (PI-group)); and 16 to the control group (13 randomised (RC-group) and 3 preference (PC-group)). Attrition was 44% (n = 22/50). Forty-six percent (n = 6) of the intervention group (25% (n = 2) of the RI-group and 80% (n = 4) of the PI-group) achieved ≥5% weight loss compared to 8% (n = 1) in the control group (95% confidence interval (CI) -0.69 to 0.07). Mean weight change was -2.1kg±9.0 in the intervention group (0kg±5.4 in the RI-group and -5.4kg±13.0 in the PI-group) compared to +4.4kg±4.9 in the control group (RC +4.4kg ±5.3 and PC +4.7kg ±3.1, 95% CI -12.4 to 0.2). CONCLUSIONS: Recruitment was feasible, but strategies to improve retention are needed. The findings suggest the intervention can support women with GDM to lose weight. The observed weight loss was primarily in women who preferred the intervention. Therefore, future trials may need to adopt a preference design and consider factors associated with preference. TRIAL REGISTRATION: Trial registration: ISRCTN52675820 https://www.isrctn.com/ISRCTN52675820?q=ISRCTN52675820&filters=&sort=&offset=1&totalResults=1&page=1&pageSize=10&searchType=basic-search.

Symptoms of Anxiety and Depression Are Independently Associated With Impaired Awareness of Hypoglycemia in Type 1 Diabetes.

OBJECTIVE: We tested the hypothesis that impaired awareness of hypoglycemia (IAH) is independently associated with symptoms of anxiety and depression in type 1 diabetes. RESEARCH DESIGN AND METHODS: In this cross-sectional observational study in 950 adults with type 1 diabetes, associations were examined using multiple regression models, adjusting for sociodemographic and clinical characteristics. RESULTS: Prevalence for probable anxiety, depression, and IAH were 9.4%, 9.8%, and 22.6%, respectively. When included in separate regression models, both depression and anxiety were independently associated with an increased odds of IAH and robust to adjustment (odds ratio 3.64 [95% CI 2.19-6.04] and 2.46 [1.46-4.14], respectively). Further analysis demonstrated a dose-response relationship between increased severity of probable mental disorder and increased odds of having IAH (P < 0.001). CONCLUSIONS: The robust independent relationship between probable anxiety and depression with IAH demonstrates the need for routine psychological assessment and management of people with type 1 diabetes and IAH.

The role of continuous glucose monitoring in pregnancy.

The risks associated with diabetes in pregnancy include congenital anomalies, stillbirth and miscarriage, and correlate with glycaemia. The optimisation of diabetes during pregnancy is therefore both challenging and essential. Technology has revolutionised how clinicians and patients manage diabetes. This review article focuses on the role of continuous glucose monitoring (CGM) in pregnancy, assessing the evidence available and providing an update on current guidance.

AiDAPT: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial - study protocol.

BACKGROUND: Pregnant women with type 1 diabetes strive for tight glucose targets (3.5-7.8 mmol/L) to minimise the risks of obstetric and neonatal complications. Despite using diabetes technologies including continuous glucose monitoring (CGM), insulin pumps and contemporary insulin analogues, most women struggle to achieve and maintain the recommended pregnancy glucose targets. This study aims to evaluate whether the use of automated closed-loop insulin delivery improves antenatal glucose levels in pregnant women with type 1 diabetes. METHODS/DESIGN: A multicentre, open label, randomized, controlled trial of pregnant women with type 1 diabetes and a HbA1c of ≥48 mmol/mol (6.5%) at pregnancy confirmation and ≤ 86 mmol/mol (10%) at randomization. Participants who provide written informed consent before 13 weeks 6 days gestation will be entered into a run-in phase to collect 96 h (24 h overnight) of CGM glucose values. Eligible participants will be randomized on a 1:1 basis to CGM (Dexcom G6) with usual insulin delivery (control) or closed-loop (intervention). The closed-loop system includes a model predictive control algorithm (CamAPS FX application), hosted on an android smartphone that communicates wirelessly with the insulin pump (Dana Diabecare RS) and CGM transmitter. Research visits and device training will be provided virtually or face-to-face in conjunction with 4-weekly antenatal clinic visits where possible. Randomization will stratify for clinic site. One hundred twenty-four participants will be recruited. This takes into account 10% attrition and 10% who experience miscarriage or pregnancy loss. Analyses will be performed according to intention to treat. The primary analysis will evaluate the change in the time spent in the target glucose range (3.5-7.8 mmol/l) between the intervention and control group from 16 weeks gestation until delivery. Secondary outcomes include overnight time in target, time above target (> 7.8 mmol/l), standard CGM metrics, HbA1c and psychosocial functioning and health economic measures. Safety outcomes include the number and severity of ketoacidosis, severe hypoglycaemia and adverse device events. DISCUSSION: This will be the largest randomized controlled trial to evaluate the impact of closed-loop insulin delivery during type 1 diabetes pregnancy. TRIAL REGISTRATION: ISRCTN 56898625 Registration Date: 10 April, 2018.

An integrated primary care-based programme of PRE-Pregnancy cARE to improve pregnancy outcomes in women with type 2 Diabetes (The PREPARED study): protocol for a multi-method study of implementation, system adaptation and performance.

BACKGROUND: The number of women of childbearing age with Type 2 diabetes(T2DM) is increasing, and they now account for > 50% of pregnancies in women with pre-existing diabetes. Diabetes pregnancies without adequate pre-pregnancy care have higher risk for poor outcomes (miscarriages, birth-defects, stillbirths) and are associated with increased complications (caesarean deliveries, macrosomic babies, neonatal intensive-care admissions). The risks and costs of these pregnancies can be reduced with pregnancy preparation (HbA1c, ≤ 6.5%, 5 mg folic acid and stopping potentially harmful medicines). However, 90% of women with T2DM, most of whom are based in primary care, are not adequately prepared for pregnancy. This study will evaluate a programme of primary care-based interventions (decision-support systems; pre-pregnancy care-pathways; pregnancy-awareness resources; professional training; and performance monitoring) to improve pregnancy preparation in women with T2DM. METHODS: The study aims to optimise the programme interventions and estimate their impact on pregnancy preparation, pre-pregnancy care uptake and pregnancy outcomes. To evaluate this multimodal intervention, we will use a multi-method research design following Complex Adaptive Systems (CAS) theory, refining the interventions iteratively during the study. Thirty GP practices with ≥ 25 women with T2DM of reproductive age (18-45 years) from two South London boroughs will be exposed to the intervention. This will provide > 750 women with an estimated pregnancy incidence of 80-100 to study. The research involves: a clinical audit of processes and outcomes; a process evaluation informing intervention feasibility, implementation, and behaviour change; and a cost-consequences analysis informing future economic evaluation. Performance data will be collected via audits of GP systems, hospital antenatal clinics and pregnancy outcomes. Following CAS theory, we will use repeated measurements to monitor intervention impact on pregnancy preparation markers at 4-monthly intervals over 18-months. We will use performance and feasibility data to optimise intervention effects iteratively. The target performance for the intervention is a 30% increase in the proportion of women meeting pre-pregnancy care criteria. DISCUSSION: The primary output will be development of an integrated programme of interventions to improve pregnancy preparation, pre-pregnancy care uptake, and reduce adverse pregnancy outcomes in women with T2DM. We will also develop an implementation plan to support the introduction of the interventions across the NHS. TRIAL REGISTRATION: ISRCTN47576591 ; February 8, 2022.

An integrated pre-pregnancy care programme framework theoretically modelled from the perspectives of women with Type 2 diabetes and healthcare professionals.

BACKGROUND: Pregnancies in women with diabetes are associated with significant additional risks for the fetus, infant and mother such as, higher risk of stillbirths or congenital anomalies. Pre-pregnancy care can attenuate these risks. However, while women with Type 2 diabetes account for half of pregnancies in women with pre-existing diabetes, they are much less likely to receive pre-pregnancy care than women with Type 1 diabetes. This discrepancy may be related to the fact that most pre-pregnancy care is located in specialist diabetes centres where women with Type 1 diabetes are managed; whereas women with Type 2 diabetes are managed in primary care and reproductive care is not a routine element of diabetes care. Therefore, to improve pre-pregnancy care among women with Type 2 diabetes strategies need to be tailored to the specific needs of this group and the context of their diabetes care. OBJECTIVES: This paper seeks to inform the development of an integrated pre-pregnancy care programme by presenting strategies identified by women with Type 2 diabetes and healthcare professionals that address some of the barriers they experience in relation to pre-pregnancy care. METHODS: A qualitative study using semi-structured in-depth interviews with women of reproductive age with Type 2 diabetes (n=30) and diabetes healthcare professionals (n=22) from both primary and secondary care. Data were transcribed verbatim and analysed thematically using Framework Analysis. The identified themes were then mapped to create a theoretical intervention framework using Normalisation Process Theory and the Capabilities, Opportunity, and Motivation to perform a Behaviour model. RESULTS: Six themes were identified expressing the need for a multimodal approach for improving the uptake of pre-pregnancy care in women with Type 2 diabetes. These themes were then mapped onto the constructs of Normalisation Process Theory as follows: coherence (enhancing understanding of reproductive needs among women and healthcare professionals); cognitive participation (constructing a positive narrative for pregnancy and Type 2 diabetes); collective action (increasing the visibly of the reproductive needs of women, integrating healthcare systems and utilising supportive technologies); and reflexive monitoring (using multi-modal approaches to support systemised care). The data were also modelled to identify target behaviours for intervention detailing what needs to be done by whom, when and where. CONCLUSION: Women with Type 2 diabetes account for half of pregnancies in those with pre-existing diabetes; however, they are less likely to receive pre-pregnancy care than women with Type 1 diabetes. Pre-pregnancy care can reduce the maternal and fetal risks associated with Type 2 diabetes. This study presents strategies to improve the current low uptake of pre-pregnancy care for women with Type 2 diabetes. These strategies have been tailored to the specific needs of women and healthcare professionals and support integration within the woman's routine diabetes management.

Do-It-Yourself Artificial Pancreas Systems in Type 1 Diabetes: Perspectives of Two Adult Users, a Caregiver and Three Physicians.

Advances in continuous glucose monitoring and insulin pumps have allowed people with type 1 diabetes (T1D) and caregivers to accurately and continuously measure their glucose levels and make adjustments to insulin infusion. In recent years, algorithms for subcutaneous insulin dosing have been developed that can respond to changes in glucose in an automated fashion and "close the loop". At present, a first-generation 'hybrid closed-loop', 'artificial pancreas' or 'automated insulin dosing' system, Medtronic 670G, is available commercially. Further systems are in clinical trials. Frustrated by the slow pace of innovation, people affected by diabetes have united online under the hashtag '#WeAreNotWaiting,' to disseminate open-source diabetes technologies. One dimension of #WeAreNotWaiting is "looping" with a do-it-yourself artificial pancreas. Here we provide the perspectives of two adults with T1D, the parent of a child with T1D and three physicians who detail their experience with these systems. These personal and clinical perspectives highlight very clear metabolic and psychological benefits of these systems in real-world settings.

Diagnosis of monogenic diabetes: 10-Year experience in a large multi-ethnic diabetes center.

AIMS/INTRODUCTION: Monogenic diabetes accounts for approximately 1-2% of all diabetes, and is difficult to distinguish from type 1 and type 2 diabetes. Molecular diagnosis is important, as the molecular subtype directs appropriate treatment. Patients are selected for testing according to clinical criteria, but up to 80% of monogenic diabetes in the UK has not been correctly diagnosed. We investigated outcomes of genetic testing in our center to compare methods of selecting patients, and consider avenues to increase diagnostic efficiency. MATERIALS AND METHODS: We reviewed 36 probands tested for monogenic diabetes in the last 10 years in a large adult diabetes outpatient clinic, serving an ethnically diverse urban population. We compared published clinical criteria and an online maturity onset diabetes of the young calculator applied to these 36 patients, and presented the predictions together with the molecular results. RESULTS: The overall mutation detection rate was 42%, reflecting the strict clinical selection process applied before genetic testing. Both methods had high sensitivity for identifying patients with mutations: 88 and 89% for the clinical criteria and online calculator, respectively. Cascade testing in a total of 16 relatives led to diagnosis of a further 13 cases. CONCLUSIONS: Existing patient selection criteria were effective in identifying patients with monogenic forms of diabetes, but the number of patients missed using these strict criteria is unknown. Because of the potential savings resulting from correct molecular diagnosis, it is possible that testing a larger pool of patients using less stringent selection criteria would be cost-effective. Further evidence is required to inform this assessment.

Nonmetabolic complications of continuous subcutaneous insulin infusion: a patient survey.

BACKGROUND: Little is known about the frequencies and types of nonmetabolic complications occurring in type 1 diabetes patients being treated by modern insulin pump therapy (continuous subcutaneous insulin infusion [CSII]), when recorded by standardized questionnaire rather than clinical experience. SUBJECTS AND METHODS: A self-report questionnaire was completed by successive subjects with type 1 diabetes attending an insulin pump clinic, and those with a duration of CSII of ≥6 months were selected for analysis (n=92). Questions included pump manufacturer, insulin, infusion set type and duration of use, frequency of infusion set and site problems, pump malfunctions, and patient-related problems such as weight change since starting CSII. RESULTS: Median (range) duration of CSII was 3.3 (0.5-32.0) years, and mean ± SD duration of infusion set use was 3.2 ± 0.7 (range 2-6) days. The commonest infusion set problems were kinking (64.1% of subjects) and blockage (54.3%). Blockage was associated with >3 days of use of infusion sets plus lispro insulin in the pump (relative risk [95% confidence interval], 1.71 [1.03-2.85]; P=0.07). The commonest infusion site problem was lipohypertrophy (26.1%), which occurred more often in those with long duration of CSII (4.8 [2.38-9.45] vs. 3.0 [1.50-4.25] years; P=0.01). Pump malfunction had occurred in 48% of subjects (43% in the first year of CSII), with "no delivery," keypad, and battery problems commonly occurring. Although some patients reported weight gain (34%) and some weight loss (15%) on CSII, most patients (51%) reported no change in weight. CONCLUSIONS: Pump, infusion set, and infusion site problems remain common with CSII, even with contemporary technology.

Real-time continuous glucose monitoring significantly reduces severe hypoglycemia in hypoglycemia-unaware patients with type 1 diabetes.

OBJECTIVE: To evaluate the effect of continuous glucose monitoring (CGM) on the frequency of severe hypoglycemia (SH) in patients with established hypoglycemia unawareness. RESEARCH DESIGN AND METHODS: We conducted a retrospective audit of 35 patients with type 1 diabetes and problematic hypoglycemia unawareness, despite optimized medical therapy (continuous subcutaneous insulin infusion/multiple daily insulin injections), who used CGM for >1 year. RESULTS: Over a 1-year follow-up period, the median rates of SH were reduced from 4.0 (interquartile range [IQR] 0.75-7.25) episodes/patient-year to 0.0 (0.0-1.25) episodes/patient-year (P < 0.001), and the mean (±SD) rates were reduced from 8.1 ± 13 to 0.6 ± 1.2 episodes/year (P = 0.005). HbA1c was reduced from 8.1 ± 1.2% to 7.6 ± 1.0% over the year (P = 0.005). The mean Gold score, measured in 19 patients, did not change: 5.1 ± 1.5 vs. 5.2 ± 1.9 (P = 0.67). CONCLUSIONS: In a specialist experienced insulin pump center, in carefully selected patients, CGM reduced SH while improving HbA1c but failed to restore hypoglycemia awareness.

Contrasting insulin sensitivity of endogenous glucose production rate in subjects with hepatocyte nuclear factor-1beta and -1alpha mutations.

Heterozygous mutations in the transcription factors hepatocyte nuclear factor (HNF)-1alpha and -1beta result in MODY (maturity-onset diabetes of the young). Despite structural similarity between HNF-1alpha and -1beta, HNF-1beta mutation carriers have hyperinsulinemia, whereas HNF-1alpha mutation carriers have normal or reduced insulin concentrations. We examined whether HNF-1beta mutation carriers are insulin resistant. The endogenous glucose production rate and rate of glucose uptake were measured with a two-step, low-dose (0.3 mU . kg(-1) . min(-1)) and high-dose (1.5 mU . kg(-1) . min(-1)) hyperinsulinemic-euglycemic clamp, with an infusion of [6,6-(2)H(2)]glucose, in six subjects with HNF-1alpha mutations, six subjects with HNF-1beta mutations, and six control subjects, matched for age, sex, and BMI. Endogenous glucose production rate was not suppressed by low-dose insulin in HNF-1beta subjects but was suppressed by 89% in HNF-1alpha subjects (P = 0.004) and 80% in control subjects (P < 0.001). Insulin-stimulated glucose uptake and suppression of lipolysis were similar in all groups at low- and high-dose insulin. Subjects with HNF-1beta mutations have reduced insulin sensitivity of endogenous glucose production but normal peripheral insulin sensitivity. This is likely to reflect reduced action of HNF-1beta in the liver and possibly the kidney. This may be mediated through regulation by HNF-1beta of the key gluconeogenic enzymes glucose-6-phosphatase or PEPCK.