The impact of socio-economic deprivation on access to diabetes technology in adults with type 1 diabetes

Narrative Review: Continuous Glucose Monitoring (CGM) in Older Adults with Diabetes

INTRODUCTION

Continuous glucose monitoring (CGM) has revolutionised diabetes care, with proven effect on glycaemic control, adverse diabetic events (such as hypoglycaemia and diabetic ketoacidosis) and hospitalisations in the general population. However, the evidence for CGM in older people is less robust.

METHOD

We conducted a narrative review of trials reporting data comparing standard blood glucose monitoring (SBGM) and CGM in adults over 65 with type 1 or type 2 diabetes who were treated with insulin published between 1999 and 2024.

RESULTS

Seventeen studies were identified, including eight retrospective cohort studies and five randomised controlled trials (RCTs). Sixteen of the 17 papers were based in Europe or North America. The studies were highly heterogeneous; however, they provided clear evidence supporting the use of CGM in reducing hypoglycemia in older adults, with potential benefits for overall wellbeing and quality of life..

CONCLUSIONS

Current approaches to diabetes care in older adults may over-rely on HbA1c (haemoglobin A1c) as a measurement of control given accuracy may be reduced in older adults and propensity for hypoglycaemia. Although goals should be personalised, avoidance of hypoglycaemia is a key goal for many older people with diabetes. There is good evidence that CGM can improve time-in-range and reduce hypoglycaemia and glucose variability in older adults. CGM should be considered for older adults as a means of reducing hypoglycaemia and associated potential harm.

Supporting women with diabetes experiencing menopause: A workshop to co-design research recommendations for improving the understanding of and support for women with diabetes experiencing menopause

AIMS

Based on direct feedback on the challenges faced by women with diabetes navigating menopause, the Diabetes Research Steering Groups (DRSGs), organised by Diabetes UK, conducted a workshop aimed at outlining key research priorities in this area. The statement will provide actionable recommendations for researchers and funders, ensuring future studies address the unique needs and lived experiences of women living with diabetes during this life phase. The DRSGs also highlighted the need to bring researchers and healthcare professionals in the field of diabetes together with those working in women's health to collaborate in this field. The goal is to bridge the gap in understanding and support, driving research that informs more effective care strategies and improves quality of life during this critical and often challenging life stage.

METHODS

In November 2023, Diabetes UK convened a workshop on diabetes and menopause, bringing together 49 participants, including people with lived experience, researchers, healthcare professionals, and representatives from charities and funding bodies. The workshop began with presentations from experts and case studies, followed by small-group discussions facilitated by Diabetes UK staff. Participants were asked to identify key evidence gaps and refine research questions related to diabetes and menopause. Groups focused on thematic topics, discussing barriers and potential solutions. Insights from these discussions were collated and thematically analysed, resulting in key recommendations to address health inequalities in diabetes research.

RESULTS

The following key areas were identified for increased future research focus: Improving the understanding of the mechanisms underlying the impact of menopause on blood glucose control in women with diabetes Understanding the safety and efficacy of treatments, technology, and exercise in the management of diabetes and menopause Understanding how to best support women from underserved communities in their management of diabetes and menopause Understanding the impact of menopause on the mental health of women with diabetes and tailoring psychosocial interventions that support women during this period. Supporting healthcare professional education in how to effectively support women with diabetes experiencing menopause. Exploring how innovative models of care can support women with diabetes experiencing menopause more effectively.

CONCLUSIONS

This position statement presents recommendations to address the unmet needs of women with diabetes experiencing menopause. The diabetes research community is to act upon these recommendations to ensure the views and needs of this group are well-represented.

Closed-loop therapy: recent advancements and potential predictors of glycemic outcomes

INTRODUCTION

Hybrid closed-loop systems have become the standard of care for managing type 1 diabetes (T1D). Both clinical trials and real-world data have demonstrated that these systems improve glycemic control without increasing the risk of hypoglycemia, while also reducing the overall burden of T1D management. A systematic literature search was conducted using PubMed for studies including individuals with T1D that were published until the end of 2024.

AREAS COVERED

In this review, we summarize the safety and efficacy of currently available hybrid closed-loop systems, drawing from key clinical trials and real-world data analyses. We also highlight recent advancements in closed-loop systems, discuss their limitations and barriers to access, and explore future directions for automated insulin delivery. Finally, we explore potential predictors of outcomes for people with T1D to better understand why some individuals respond better to closed-loop systems than others.

EXPERT OPINION

Closed-loop systems are advancing rapidly, with a growing focus on enhancing automation through fully closed-loop systems to improve glycemic control and further reduce the burden of management. Identifying the predictors that influence how individuals respond to closed-loop therapy will enable these systems to be optimized. It is crucial to ensure widespread and equitable access to this advanced technology.

Impact of real-time glucose monitoring using FreeStyle Libre 3 on glycaemia in type 2 diabetes managed with basal insulin plus SGLT2 inhibitor and/or GLP-1 agonist: the FreeDM2 randomised controlled trial protocol

INTRODUCTION

Effective management of type 2 diabetes mellitus (T2DM) consists of lifestyle modification and therapy optimisation. While glycaemic monitoring can be used as a tool to guide these changes, this can be challenging with self-monitoring of blood glucose (SMBG). The FreeStyle Libre 3 (FSL3) is a real-time continuous glucose monitoring (CGM) system designed to replace SMBG. The evidence for the benefit of CGM in people with T2DM on non-intensive insulin regimens is limited. This study aims primarily to assess the glycaemic impact of FSL3 in people with suboptimally controlled T2DM treated with basal-only insulin regimens plus sodium-glucose cotransporter-2 (SGLT-2) inhibitor and/or glucagon-like peptide (GLP)-1 agonist.

METHODS AND ANALYSIS

This is an open-label, multicentre, parallel design, randomised (2:1) controlled trial. Recruitment has been offered across 24 clinical centres in the UK and nationally through self-referral. Adults with T2DM treated with basal-only insulin regimens plus SGLT-2 inhibitor and/or GLP-1 agonist and with screening HbA1c from ≥59 mmol/mol to ≤97 mmol/mol are included. Eligible participants will be randomised to either FSL3 (intervention) for 32 weeks or continuation of SMBG (control). The study is split into two phases, each of 16 weeks duration: phase 1 consisting of self-management with basal-insulin self-titration and phase 2 where additional therapies may be initiated. Control group participants may subsequently enter an optional extension phase to receive FSL3. The primary endpoint is the difference between treatment groups in mean change from baseline in HbA1c at 16 weeks. Secondary outcomes include HbA1c at 32 weeks, CGM-based metrics, therapy changes, physical activity levels and psychosocial measures. An economic evaluation for costs and patient outcomes will be undertaken.

ETHICS AND DISSEMINATION

The study was approved by the Health Research Authority, Health and Care Research Wales and the West Midlands-Edgbaston Research Ethics Committee (reference: 23/WM/0092). Study results will be disseminated in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT05944432.

SECONDARY IDENTIFYING NUMBER

Identifier assigned by the sponsor: ADC-UK-PMS-22057.

PROTOCOL VERSION

Revision D. Dated, 13 December 2024.

Understanding inequities in access to diabetes technologies in children and young people with type 1 diabetes: Qualitative study of healthcare professionals' perspectives and views

AIMS

We explored healthcare professionals' perceptions and understandings of the factors and considerations underlying inequities in technology access in children and young people (CYP) with type 1 diabetes.

METHODS

We interviewed (n = 29) healthcare professionals working in paediatric diabetes in England recruited from (n = 15) purposively selected sites. We analysed data thematically.

RESULTS

Interviewees highlighted multiple, often overlapping barriers to accessing technology faced by CYP with type 1 diabetes from deprived and/or ethnic minority backgrounds. They described the impacts of deprivation on technology uptake, together with the complex social, ethnic and cultural factors that could also reinforce disparities in technology access. Interviewees further highlighted staffing shortfalls as a significant barrier to supporting CYP to use technology, especially those from under-represented groups who they perceived as requiring more staff time to be trained to use technology. While interviewees suggested that unconscious bias has become less prominent, they reported being less likely to recommend technology (especially pumps) to CYP/caregivers who they feared would not use it safely and effectively (e.g. those with low literacy levels). Interviewees also highlighted geographical variability in the technology commissioning process (a 'postcode lottery').

CONCLUSIONS

Our findings suggest that without targeted interventions, technology inequities may continue to persist amongst CYP from the most and least deprived areas and from white and ethnic minority groups in the United Kingdom. Additionally, our findings suggest that closing the technology gap will require large-scale governmental and health policies aimed at fostering socioeconomic, ethnic and cultural equality alongside targeted measures to improve technology accessibility.

Diabetes Technology Trends: A Review of the Latest Innovations

CONTEXT

Over the last decade, diabetes management tools such as continuous glucose monitors, automated insulin delivery systems, and connected insulin pens have experienced exponential growth. These technologies are more readily being adopted to manage diabetes due to increased availability. This mini-review provides information about recent innovations available in the United States for diabetes management to improve patient outcomes.

EVIDENCE ACQUISITION

A systematic search was conducted using Medline, PubMed, ScienceDirect, and Embase databases, as well as the Cochrane Library to identify peer-reviewed articles published between 2014 and 2024, in English, and focused on treatment using technology in diabetes care.

EVIDENCE SYNTHESIS

Diabetes technology has significantly eased the burden of both glucose measurement and insulin delivery, which has, overall, improved diabetes management. Advancements in accuracy and glycemic outcomes have been demonstrated through rigorous clinical and observational trials, underscoring their potential to transform diabetes care. The literature suggests that the use of diabetes technologies promotes patient self-efficacy and enhances the quality of life for individuals with both type 2 and type 1 diabetes.

CONCLUSION

Diabetes technology has been shown to improve important aspects of diabetes care, from glycemic control to patient satisfaction and quality of life. It is important to assess the role of technology in type 1 and type 2 diabetes and individualize treatment goals and objectives.

Time above range and no coefficient of variation is associated with diabetic retinopathy in individuals with type 1 diabetes and glycated hemoglobin within target

AIMS

This study aimed to investigate the association between glucose metrics and diabetic retinopathy in type 1 diabetes (T1D) patients using flash continuous glucose monitoring (FGM) systems, including those maintaining glycated hemoglobin (HbA1c) within the target range.

METHODS

We conducted a cross-sectional study involving 1070 T1D patients utilizing FGM systems. Data on clinical, anthropometric, and socioeconomic characteristics were collected and retinopathy was classified based on international standards.

RESULTS

Patients' mean age was 47.6 ± 15.0 years, with 49.4% of them being females. Within the cohort, 24.8% of patients presented some form of retinopathy. In the analysis involving the entire sample of subjects, male gender (OR = 1.51, p = 0.027), Time Above Range (TAR) > 250 mg/dL (OR = 1.07, p = 0.025), duration of diabetes (OR = 1.09, p < 0.001), smoking (OR = 2.30, p < 0.001), and history of ischemic stroke (OR = 5.59, p = 0.025) were associated with diabetic retinopathy. No association was observed between the coefficient of variation and diabetic retinopathy (p = 0.934). In patients with HbA1c < 7%, the highest quartile of TAR > 250 was independently linked to diabetic retinopathy (OR = 8.32, p = 0.040), in addition to smoking (OR = 2.90, p = 0.031), duration of diabetes (OR = 1.09, p < 0.001), and hypertension (OR = 2.35, p = 0.040).

CONCLUSION

TAR > 250 mg/dL significantly emerges as a modifiable factor associated with diabetic retinopathy, even among those patients maintaining recommended HbA1c levels. Understanding glucose metrics is crucial for tailoring treatment strategies for T1D patients.

Continuous glucose sensor accuracy: beyond the headline metric

The promotion of continuous glucose monitoring (CGM) to standard of care for type 1 diabetes and insulin-treated type 2 diabetes reflects a robust and wide evidence base for the technology's effectiveness supported by real-world efficacy data. Multiple CGM devices are available worldwide and are marketed, in part, based on accuracy data. In this Viewpoint, we argue that accuracy metrics are no longer a point of difference between CGM devices as almost all exceed an acceptable threshold. We also argue that domains of standardisation, clinical outcomes, and sustainability should now be given primacy as CGM devices seek to be implemented for new indications. These domains are key for the success of the next generation of CGM devices. Additionally, we discuss the need to address inequalities in accessing clinically impactful technologies.

Automating insulin delivery through pump and continuous glucose monitoring connectivity: Maximizing opportunities to improve outcomes

The development of automated insulin delivery (AID) systems, which connect continuous glucose monitoring (CGM) systems with algorithmic insulin delivery from an insulin pump (continuous subcutaneous insulin infusion, [CSII]), has led to improved glycaemia and quality of life benefits in those with insulin-treated diabetes. This review summarizes the benefits gained by the connectivity between insulin pumps and CGM devices. It details the technical requirements and advances that have enabled this, and highlights the clinical and user benefits of such systems. Clinical trials and real-world outcomes from the use of AID systems in people with type 1 diabetes (T1D) will be the focus of this article; outcomes in people with type 2 diabetes (T2D) and other diabetes subtypes will also be discussed. We also detail the limitations of current technological approaches for connectivity between insulin pumps and CGM devices. While recognizing the barriers, we discuss opportunities for the future.

The bio-artificial pancreas to treat type 1 diabetes: Perspectives from healthcare professionals in the Netherlands

Aims

Healthcare professionals are relevant stakeholders because of their gatekeeper role in the clinic. This study aims to explore their perspectives on the potential future clinical implementation of the bio-artificial pancreas (BAP) for people with type 1 diabetes, and suitable target groups.

Methods

Semi-structured interviews were conducted with 17 healthcare professionals, including endocrinologists, nurses, and pancreas transplant surgeons. Inclusion was stopped once data saturation was reached. The audiotaped interviews were transcribed verbatim. Qualitative content analysis using an inductive approach was conducted to develop themes within a coding framework.

Results

Three main themes emerged: (1) hoped-for benefits, which included improved clinical outcomes, enhanced sense of normality, reduced mental burden for patients and their significant others, greater societal participation, and lower costs; (2) concerns, which included safety and effectiveness, inequitable access, accurate information, control over self-management, and organizational challenges; and (3) allocating the BAP during initial implementation, which included prioritizing people who lack effective treatment options, people with mental health issues, and vulnerable people.

Conclusions

The results of this study are important for researchers and practitioners involved in the development of the BAP, so that they can align its design and the process of clinical implementation with healthcare professionals' perspectives.

Case series of using automated insulin delivery to improve glycaemic control in people with type 1 diabetes and end stage kidney disease on haemodialysis

Automated insulin delivery (AID) in people with type 1 diabetes (pwT1D) and end-stage kidney disease (ESKD) on haemodialysis (HD) has not been reported previously. We describe practical considerations and our findings in four pwT1D on HD for ESKD where AID was safely implemented, with significant improvements in time in range.

The impact of social deprivation on development and progression of diabetic kidney disease

Introduction

Diabetes is one of the leading causes of chronic kidney disease. Social deprivation is recognised as a risk factor for complications of diabetes, including diabetic kidney disease. The effect of deprivation on rate of decline in renal function has not been explored in the Irish Health System to date. The objective of this study is to explore the association between social deprivation and the development/progression of diabetic kidney disease in a cohort of adults living with diabetes in Ireland.

Methods

This is a retrospective cohort study using an existing dataset of people living with diabetes who attended the diabetes centre at University Hospital Galway from 2012 to 2016. The variables included in this dataset include demographic variables, type and duration of diabetes, clinical variables such as medication use, blood pressure and BMI and laboratory data including creatinine, urine albumin to creatinine to ratio, haemoglobin A1c and lipids. This dataset will be updated with laboratory data until January 2023. Individual's addresses will be used to calculate deprivation indices using the Pobal Haase Pratschke (HP) deprivation index. Rate of renal function decline will be calculated using linear mixed-effect models. The relationship between deprivation and renal function will be assessed using linear regression (absolute and relative rate of renal function decline based on eGFR) and logistic regression models (rapid vs. non-rapid decline).

Does size matter? Hospital volume and resource use in paediatric diabetes care

AIMS

Paediatric diabetes care has become increasingly specialised due to the multidisciplinary approach and technological developments. Guidelines recommend sufficient experience of treatment teams. This study evaluates associations between hospital volume and resource use and hospital expenditure in Dutch children with diabetes.

METHODS

Retrospective cohort study using hospital claims data of 5082 children treated across 44 Dutch hospitals (2019-2020). Hospitals were categorised into three categories; small (≥20-100 patients), medium (≥100-200 patients) and large (≥200 patients). All-cause hospitalisations, consultations, technology and hospital expenditure were analysed and adjusted for age, sex, socio-economic status (SES) and hospital of treatment.

RESULTS

Fewer hospitalisations were observed in large hospitals compared to small hospitals (OR 0.48; [95% CI 0.32-0.72]; p < 0.001). Median number of yearly paediatrician visits was 7 in large and 6 in small hospitals, the significance of which was attenuated in multilevel analysis (OR ≥7 consultations: 1.89; [95%CI 0.74-4.83]; p = 0.18). Technology use varies between individual hospitals, whereas pump usage and real-time continuous glucose monitoring showed no significant differences between hospital volumes. Mean overall expenditure was highest in medium-sized centres with €6434 per patient (IQR €2555-7955); the difference in diabetes care costs was not significant between hospital patient volumes.

CONCLUSIONS

Care provision patterns vary by hospital patient volume. Large hospitals had the lowest hospitalisation rates. The use of diabetes technology was not different between hospital patient volumes. Medium-sized hospitals showed the highest overall expenditure, but diabetes care costs were similar across hospital volumes.

Ward monitoring 4.0: real-time metabolic insights from continuous glucose monitoring into perioperative organ dysfunction

The now-routine clinical deployment of continuous glucose monitoring has demonstrated benefit in real-world settings. We make the case that continuous glucose monitoring can help re-examine, at scale, the role that (stress) hyperglycaemia plays in fuelling organ dysfunction after tissue trauma. Provided robust perioperative data do emerge, well-established continuous glucose monitoring technology could soon help transform the perioperative landscape.

Social deprivation and diabetic kidney disease: A European view

There is a large body of literature demonstrating a social gradient in health and increasing evidence of an association between social deprivation and diabetes complications. Diabetic kidney disease (DKD) increases mortality in people with diabetes. Socioeconomic deprivation is increasingly recognized as a modifier of risk factors for kidney disease but also an independent risk factor itself for kidney disease. This may not be truly appreciated by clinicians and warrants further attention and exploration. In this review we explore the literature to date from Europe on the relationship between social deprivation and DKD. The majority of the studies showed at least an association with microalbuminuria, an early marker of DKD, while many showed an association with overt nephropathy. This was seen across many countries in Europe using a variety of different measures of deprivation. We reviewed and considered the mechanisms by which deprivation may lead to DKD. Health related behaviors such as smoking and suboptimal control of risk factors such as hypertension, hyperglycemia and elevated body mass index (BMI) accounts for some but not all of the association. Poorer access to healthcare, health literacy, and stress are also discussed as potential mediators of the association. Addressing deprivation is difficult but starting points include targeted interventions for people living in deprived circumstances, equitable roll out of diabetes technology, and flexible outpatient clinic arrangements including virtual and community-based care.

Effect of Christmas Holidays on Type 1 Diabetes Mellitus in Users of Glucose Flash Systems

OBJECTIVE

Christmas holidays can impact weight and glycemic control in type 2 diabetes, but their effect on type 1 diabetes (T1D) remains understudied. This study assessed how Christmas holidays affect individuals with T1D who use flash continuous glucose monitoring systems.

METHODS

This retrospective study involved 812 adults diagnosed with T1D recruited from 3 hospitals. Clinical, anthropometric, and socioeconomic data were collected. Glucose metrics from 14 days before January 1st, and before December 1st and February 1st as control periods, were recorded. Analyses adjusted for multiple variables were conducted to assess the holiday season's impact on glycemic control.

RESULTS

The average time in range during the holidays (60.0 ± 17.2%) was lower compared to December (61.9 ± 17.2%, P < .001) and February (61.7 ± 17.7%, P < .001). Time above range (TAR > 180 mg/dL) was higher during Christmas (35.8 ± 18.2%) compared to December (34.1 ± 18.3%, P < .001) and February (34.2 ± 18.4%, P < .001). Differences were also observed in TAR >250 mg/dL, coefficient of variation, and average glucose (P < .05). No differences were found in time below range or other metrics. Linear regression models showed that the holidays reduced time in range by 1.9% (β = -1.92, P = .005) and increased TAR >180 mg/dL by 1.8% (β = 1.75, P = .016).

CONCLUSION

Christmas holidays are associated with a mild and reversible deterioration in glucose metrics among individuals with T1D using flash continuous glucose monitoring, irrespective of additional influencing factors. These discoveries can be useful to advise individuals with diabetes during the festive season and to recognize potential biases within studies conducted during this timeframe.

Socio-economic disparities in hospital care among Dutch patients with diabetes mellitus

AIM

Socio-economic status (SES) influences diabetes onset, progression and treatment. In this study, the associations between SES and use of hospital care were assessed, focusing on hospitalizations, technology and cardiovascular complications.

MATERIALS AND METHODS

This was an observational cohort study comprising 196 695 patients with diabetes (all types and ages) treated in 65 hospitals across the Netherlands from 2019 to 2020 using reimbursement data. Patients were stratified in low, middle, or high SES based on residential areas derived from four-digit zip codes.

RESULTS

Children and adults with low SES were hospitalized more often than patients with middle or high SES (children: 22%, 19% and 15%, respectively; p < .001, adults: 28%, 25% and 23%; p < .001). Patients with low SES used the least technology: no technology in 48% of children with low SES versus 40% with middle SES and 38% with high SES. In children, continuous subcutaneous insulin infusion (CSII) and real-time continuous glucose monitoring (rtCGM) use was higher in high SES {CSII: odds ratio (OR) 1.54 [95% confidence interval (CI) 1.35-1.76]; p < .001; rtCGM OR 1.39 [95% CI 1.20-1.61]; p < .001} and middle SES [CSII: OR 1.41 (95% CI 1.24-1.62); p < .001; rtCGM: OR 1.27 (95% CI 1.09-1.47); p = .002] compared with low SES. Macrovascular (OR 0.78 (95% CI 0.75-0.80); p < .001) and microvascular complications [OR 0.95 (95% CI 0.93-0.98); p < .001] occurred less in high than in low SES.

CONCLUSIONS

Socio-economic disparities were observed in patients with diabetes treated in Dutch hospitals, where basic health care is covered. Patients with low SES were hospitalized more often, used less technology, and adults with high SES showed fewer cardiovascular complications. These inequities warrant attention to guarantee equal outcomes for all.

The impact of socioeconomic factors, social determinants, and ethnicity on the utilization of glucose sensor technology among persons with diabetes mellitus: a narrative review

Continuous glucose monitoring (CGM) usage has been shown to improve disease outcomes in people living with diabetes by facilitating better glycemic management. However, previous research has suggested that access to these devices can be influenced by nonmedical factors such as socioeconomic status and ethnicity. It is critical that equitable access to CGM devices is ensured as people from those groups experience poorer diabetes-related health outcomes. In this narrative review, we provide an overview of the various healthcare systems worldwide and how socioeconomic status, social context, and ethnicity shape device usage and the associated health outcomes. In general, we found that having a lower socioeconomic status and belonging to an ethnic minority group negatively impact CGM usage. While financial means proved to be an important mediator in this process, it was not the sole driver as disparities persisted even after adjustment for factors such as income and insurance status. Recommendations to increase CGM usage for people of a lower socioeconomic status and ethnic minorities include increasing the availability of financial, administrative, and educational support, for both patients and healthcare providers. However, recommendations will vary due to local country-specific circumstances, such as reimbursement criteria and healthcare ecosystems.

The role of real-time continuous glucose monitoring in diabetes management and how it should link to integrated personalized diabetes management

Diabetes is a complex metabolic condition that demands tailored, individualized approaches for effective management. Real-time continuous glucose monitoring (rtCGM) systems have improved in terms of design, usability and accuracy over the years and play a pivotal role in the delivery of integrated personalized diabetes management (iPDM). iPDM is a comprehensive multidisciplinary approach that combines individualized care strategies utilizing technologies and interventions and encourages the active involvement of the person with diabetes in the care provided. The use of stand-alone rtCGM and its integration with other diabetes technologies, such as hybrid automated insulin delivery, have enabled improved glycaemic and quality of life outcomes for people with diabetes. As the uptake of rtCGM and associated technologies is increasing and becoming the standard of care for people with diabetes, it is important that efforts are focused on associated goals such as reducing health inequalities in terms of access, aligning structured education with rtCGM usage, choosing the right technology based on needs and preferences, and minimizing burden while aiming for optimal glucose outcomes. Utilizing rtCGM in other settings than outpatients and in diabetes cohorts beyond type 1 and type 2 diabetes needs further exploration. This review aims to provide an overview of the role of rtCGM and how best to link rtCGM to iPDM, highlighting its role in enhancing personalized treatment strategies.

Impact of socioeconomic status on chronic control and complications of type 1 diabetes mellitus in users of glucose flash systems: a follow-up study

BACKGROUND

This study investigates the association between socioeconomic status (SES) and glycemic control in individuals with type 1 diabetes (T1D) using flash glucose monitoring (FGM) devices within a public health system where these technologies are freely available and utilized according to recommended guidelines.

METHODS

A follow-up study of 1060 adults (mean age 47.4 ± 15.0 years, 49.0% women) with T1D, receiving care at three Spanish university hospitals that regularly employ the FGM system. SES was assessed using the Spanish Deprivation Index and the average annual net income per person. Glycemic data were collected over a 14-day follow-up period, including baseline glycated hemoglobin (HbA1c) levels prior to sensor placement, the last available HbA1c levels, and FGM-derived glucose metrics. Individuals with sensor usage time < 70% were excluded. Chronic micro and macrovascular complications related to diabetes were documented. Regression models, adjusted for clinical variables, were employed to determine the impact of SES on optimal sensor control (defined as time in range (TIR) ≥ 70% with time below range < 4%) and disease complications.

RESULTS

The average follow-up was of 2 years. The mean TIR and the percentage of individuals with optimal control were higher in individuals in the highest SES quartile (64.9% ± 17.8% and 27.9%, respectively) compared to those in the lowest SES quartile (57.8 ± 17.4% and 12.1%) (p < 0.001). Regression models showed a higher risk of suboptimal control (OR 2.27, p < 0.001) and ischemic heart disease and/or stroke (OR 3.59, p = 0.005) in the lowest SES quartile. No association was observed between SES and the risk of diabetic nephropathy and retinopathy. FGM system improved HbA1c levels across all SES quartiles. Although individuals in the highest SES quartile still achieved a significantly lower value at the end of the follow-up 55 mmol/mol (7.2%) compared to those in the lowest SES quartile 60 mmol/mol (7.6%) (p < 0.001), the significant disparities in this parameter between the various SES groups were significantly reduced after FGM technology use.

CONCLUSIONS

Socioeconomic status plays a significant role in glycemic control and complications in individuals with T1D, extending beyond access to technology and its proper utilization. The free utilization of FGM technology helps alleviate the impact of social inequalities on glycemic control.

Clinical Translation of Bio-Artificial Pancreas Therapies: Ethical, Legal and Psychosocial Interdisciplinary Considerations and Key Recommendations

The field of regenerative medicine offers potential therapies for Type 1 Diabetes, whereby metabolically active cellular components are combined with synthetic medical devices. These therapies are sometimes referred to as "bioartificial pancreases." For these emerging and rapidly developing therapies to be clinically translated to patients, researchers must overcome not just scientific hurdles, but also navigate complex legal, ethical and psychosocial issues. In this article, we first provide an introductory overview of the key legal, ethical and psychosocial considerations identified in the existing literature and identify areas where research is currently lacking. We then highlight two principal areas of concern in which these discrete disciplines significantly overlap: 1) individual autonomy and 2) access and equality. Using the example of beta-cell provenance, we demonstrate how, by harnessing an interdisciplinary approach we can address these key areas of concern. Moreover, we provide practical recommendations to researchers, clinicians, and policymakers which will help to facilitate the clinical translation of this cutting-edge technology for Type 1 Diabetes patients. Finally, we emphasize the importance of exploring patient perspectives to ensure their responsible and acceptable translation from bench to body.

Area deprivation and demographic factors associated with diabetes technology use in adults with type 1 diabetes in Germany

Introduction

Diabetes technology improves glycemic control and quality of life for many people with type 1 diabetes (T1D). However, inequalities in access to diabetes technology exist in many countries. In Germany, disparities in technology use have been described in pediatric T1D, but no data for adults are available so far. We therefore aimed to analyze whether demographic factors and area deprivation are associated with technology use in a representative population of adults with T1D.

Materials and methods

In adults with T1D from the German prospective diabetes follow-up registry (DPV), we analyzed the use of continuous subcutaneous insulin infusion (CSII), continuous glucose monitoring (CGM), and sensor augmented pump therapy (SAP, with and without automated insulin delivery) in 2019-2021 by age group, gender, migration background, and area deprivation using multiple adjusted regression models. Area deprivation, defined as a relative lack of area-based resources, was measured by quintiles of the German index of Multiple Deprivation (GIMD 2015, from Q1, least deprived, to Q5, most deprived districts).

Results

Among 13,351 adults with T1D, the use of technology decreased significantly with older age: CSII use fell from 56.1% in the 18-<25-year age group to 3.1% in the ≥80-year age group, CGM use from 75.3% to 28.2%, and SAP use from 45.1% to 1.5% (all p for trend <0.001). The use of technology was also significantly higher in women than in men (CSII: 39.2% vs. 27.6%; CGM: 61.9% vs. 58.0%; SAP: 28.7% vs. 19.6%, all p <0.001), and in individuals without migration background than in those with migration background (CSII: 38.8% vs. 27.6%; CGM: 71.1% vs. 61.4%; SAP: 30.5% vs. 21.3%, all p <0.001). Associations with area deprivation were not linear: the use of each technology decreased only from Q2 to Q4.

Discussion

Our real-world data provide evidence that higher age, male gender, and migration background are currently associated with lower use of diabetes technology in adults with T1D in Germany. Associations with area deprivation are more complex, probably due to correlations with other factors, like the higher proportion of migrants in less deprived areas or the federal structure of the German health care system.