Severe hypoglycemia and diabetic ketoacidosis in adults with type 1 diabetes: results from the T1D Exchange clinic registry

The experiences of high-risk young adults with type 1 diabetes transitioning to real-time continuous glucose monitoring - A thematic analysis

BACKGROUND

Real-time continuous glucose monitoring (rtCGM) is now the standard care for people with type 1 diabetes. However, whilst its impact on glycaemic outcomes is well-documented, its psychosocial effects, particularly in young adults experiencing extreme hyperglycaemia, remain poorly understood.

OBJECTIVES

We aimed to explore the psychosocial impact of rtCGM on young adults with extreme hyperglycaemia who thus far have not been studied extensively.

RESEARCH DESIGN AND METHODS

A qualitative study employing semi-structured interviews was undertaken. Young adults 18-25 years (HbA1c >75mmol/mol (9.0%)), naïve to rtCGM, were provided with rtCGM for 6-months. Interviews (centred on barriers to self-management and experience of rtCGM use) were conducted within 2-weeks of recruitment and at the end. An inductive, thematic analysis of interviews was undertaken.

RESULTS

Eight participants (median age (IQR) 23.0 (22.0-24.5) years, 100% non-white ethnicity) were recruited with median HbA1c 94 (88-107) mmol/mol [DCCT 10.8 (10.2-12.1)%.]. All participants used multiple daily insulin injections. Despite low rtCGM wear-time (32.2 (23.1-59.4)%), significant improvements were observed in time in range, but no change in HbA1c. Thematic analysis indicated that high levels of disease burden were reported, with rtCGM-related themes identified: 1) interaction with rtCGM data, 2) feelings of control and trust from using rtCGM, and 3) frustration of technology and alarms. Although participants reported that knowledge of glucose levels on their smartphone was convenient and led to 'greater control', this was countered by alarm-fatigue, technical difficulties and feeling overwhelmed. Three participants prematurely stopped using rtCGM.

CONCLUSIONS

Young adults with high-risk hyperglycaemia have complex relationships with rtCGM. rtCGM may have benefits in this high-risk group, but are likely to require additional support and must be determined on a case-by-case basis as associated effort may contribute to feelings of distress and/or burnout. Implementing structured educational, psychosocial, and technical support, alongside alternative care models such as more frequent check-ins, should be considered in order to enhance self-management practices with rtCGM and address technology-related challenges.

Longitudinal Determination of Diabetes Complications and Other Clinical Variables as Risk Factors for Diabetic Ketoacidosis in Type 1 Diabetes

OBJECTIVE

We aimed to determine whether diabetes complications, such as kidney disease that may impair acid-base buffering capacity, independently predict the risk of subsequent diabetic ketoacidosis (DKA).

RESEARCH DESIGN AND METHODS

We accessed previously collected 34-year data from the Diabetes Control and Complications Trial and Epidemiology of Diabetes Interventions and Complications study through public data access. Multivariable Cox proportional hazards models with time-varying exposures and covariates were used to examine the associations of macrovascular disease and early and late stages of neuropathy, nephropathy, and retinopathy, with subsequent DKA occurrence as the outcome.

RESULTS

Of 1,441 participants, 297 experienced 488 DKA events over follow-up. Major adverse cardiovascular events [hazard ratio (HR) 3.16, 95% CI 1.57-6.35, P = 0.001] and late-stage neuropathy, which comprised serious foot ulcer or amputation (HR 1.59, 95% CI 1.04-2.45, P = 0.03) were independently associated with higher DKA risk. Higher risk was also associated with shorter diabetes duration (HR 0.76, 95% CI 0.64-0.91, P = 0.002), female sex (HR 2.04, 95% CI 1.56-2.67, P < 0.001), current insulin pump use (HR 3.04, 95% CI 2.29-4.02, P < 0.001), higher time-updated HbA1c (per additional 1%: HR 1.39, 95% CI 1.29-1.50, P < 0.001), and higher current insulin dose (per 1 additional unit/kg/day: HR 2.32, 95% CI 1.62-3.33, P < 0.001).

CONCLUSIONS

A major cardiovascular event, foot ulcer, or amputation confers the greatest risk of future DKA independent of previously recognized risk factors, implying a need to target patients with these events for DKA prevention interventions, such as self-management skills for metabolic control, management of depression, and DKA education.

American Diabetes Association Professional Practice Committee, ElSayed NA, McCoy RG, Aleppo G, Bajaj M, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Echouffo-Tcheugui JB, Ekhlaspour L, Gaglia JL, Garg R, Girotra M, Khunti K, Lal R, Lingvay I, Matfin G, Neumiller JJ, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Stanton RC, Bannuru RR. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes-2025

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Older Adults Benefit From Virtual Support for Continuous Glucose Monitor Use But Require Longer Visits

BACKGROUND

Older adults may be less comfortable with continuous glucose monitoring (CGM) technology or require additional education to support use. The Virtual Diabetes Specialty Clinic study provided the opportunity to understand glycemic outcomes and support needed for older versus younger adults living with diabetes and using CGM.

METHODS

Prospective, virtual study of adults with type 1 diabetes (T1D, N = 160) or type 2 diabetes (T2D, N = 74) using basal-bolus insulin injections or insulin pump therapy. Remote CGM diabetes education (3 scheduled visits over 1 month) was provided by Certified Diabetes Care and Education Specialists with additional visits as needed. CGM-measured glycemic metrics, HbA1c and visit duration were evaluated by age (<40, 40-64 and ≥65 years).

RESULTS

Median CGM use was ≥95% in all age groups. From baseline to 6 months, time 70 to 180 mg/dL improved from 45% ± 22 to 57% ± 16%; 50 ± 25 to 65 ± 18%; and 60 ± 28 to 69% ± 18% in the <40, 40-64, and ≥65-year groups, respectively (<40 vs 40-64 years P = 0.006). Corresponding values for HbA1c were 8.0% ± 1.6 to 7.3% ± 1.0%; 7.9 ± 1.6 to 7.0 ± 1.0%; and 7.4 ± 1.4 to 7.1% ± 0.9% (all P > 0.05). Visit duration was 41 min longer for ages ≥65 versus <40 years (P = 0.001).

CONCLUSIONS

Adults with diabetes experience glycemic benefit after remote CGM use training, but training time for those >65 years is longer compared with younger adults. Addressing individual training-related needs, including needs that may vary by age, should be considered.

Factors associated with Glycemia Risk Index in a cohort of patients with type 1 Diabetes Mellitus and Latent Autoimmune Diabetes In Adults (LADA)

OBJECTIVE

To analyze the degree of control based on classical glucometric parameters and Glycemia Risk Index (GRI) in real-life conditions in a cohort of patients with type 1 Diabetes Mellitus (DM) and Latent Autoimmune Diabetes in Adults (LADA) and to assess the factors that are associated with GRI.

PATIENTS AND METHODS

Cross-sectional study. 447 adult patients with type 1 DM and LADA users of Intermittent Continuous Glucose Monitoring (iCGM) with an adherence ≥ 70% were included. GRI was calculated with its Hypoglycemia (CHypo) and Hyperglycemia (CHyper) Components. Multivariate linear regression analysis was performed to evaluate the factors associated with GRI.

RESULTS

Mean age 44.6 years (SD 13.7); 57.7% men; 83.9% type 1 DM; 16.1% LADA; time of evolution 20.6 years (SD 12.3). In patients with type 1 DM vs. LADA, differences were observed in relation to age [-11.1 years (SD 1.7)], age of onset [-21.9 years (DE 1.5)], time of evolution [11.7 years (DE 1.5)], treatment modality (p < 0.001), Time in Range (TIR) [-6.3% (SD 2.2)], Time Below Range (TBR) [1.9% (SD 0.6)], TBR level 1 (TBR1) [1.4% (SD 0.5)], Time Above Range (TAR) level 2 (TAR2) [4.7% (SD 1.3)], Coefficient of Variation (CV) [4.6% (SD 0.9)], GRI [11.3% (SD 2.8)], CHypo [1.3% (SD 0.5)] and CHyper [4.8% (SD 1.7)]. The variables that were independently associated with GRI were TIR (β = -1.34; CI 95% -1.43 to -1.25; p < 0.001), Glucose Management Indicator (GMI) (β = -5.82; CI 95% -7.59 to -4.05; p < 0.001), CV (β = 0.67; CI 95% 0.57 to 0.77; p < 0.001) and adherence to sensor usage (β = -0.16; CI 95% -1.27 to -0.06; p < 0.002).

CONCLUSIONS

LADA present better control according to some glucometric parameters and a low GRI. However, the type of DM is not a factor that is independently associated with GRI.

Prognostic Implications of Diabetic Ketoacidosis in Adults on Long-term Mortality and Diabetes-Related Complications

OBJECTIVES

Diabetic ketoacidosis (DKA) occurring after diabetes diagnosis is often associated with risk factors for other diabetes-related complications. In this study, we aimed to determine the prognostic implications of DKA on all-cause mortality and complications in type 1 diabetes (T1D).

METHODS

Previously collected data from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study were obtained through the the National Institute of Diabetes and Digestive and Kidney Diseases Central Repository. Using Cox proportional hazards models with time-dependent covariates, we examined age- and sex-adjusted, glycated hemoglobin-adjusted, and fully adjusted associations of DKA with all-cause mortality, cardiovascular disease, microvascular complications, and acute complications over 34 years.

RESULTS

Of the 1,441 study participants, 297 had 488 DKA events. Prior DKA was associated with a higher risk of age- and sex-adjusted all-cause mortality (hazard ratio [HR] 8.28, 95% confidence interval [CI] 3.74 to 18.32, p<0.001), major adverse cardiovascular events (MACEs) (HR 2.05, 95% CI 1.34 to 3.13, p<0.001), and all advanced microvascular and acute complications compared with no prior DKA. Most associations except retinopathy were significant even after adjustment for covariates. In our fully adjusted analysis, prior DKA was associated with a significantly higher risk of subsequent all-cause mortality (HR 9.13, 95% CI 3.87 to 21.50, p<0.001), MACEs (HR 1.66, 95% CI 1.07 to 2.59, p=0.03), advanced kidney disease (HR 2.10, 95% CI 1.00 to 4.22, p=0.049), advanced neuropathy (HR 1.49, 95% CI 1.05 to 2.13, p=0.03), severe hypoglycemia (HR 1.53, 95% CI 1.28 to 1.81, p<0.001), and recurrent DKA (HR 3.24, 95% CI 2.41 to 4.36, p<0.001) compared with person-time without DKA.

CONCLUSIONS

DKA is a prognostic marker for diabetes complications, including excess all-cause mortality. Intensified clinical interventions, such as cardiovascular prevention strategies, may be warranted after diagnosis of DKA.

Glycemic Risk Index Profiles and Predictors Among Diverse Adults With Type 1 Diabetes

BACKGROUND

The Glycemia Risk Index (GRI) was introduced as a single value derived from the ambulatory glucose profile that identifies patients who need attention. This study describes participants in each of the five GRI zones and examines the percentage of variation in GRI scores that is explained by sociodemographic and clinical variables among diverse adults with type 1 diabetes.

METHODS

A total of 159 participants provided blinded continuous glucose monitoring (CGM) data over 14 days (mean age [SD] = 41.4 [14.5] years; female = 54.1%, Hispanic = 41.5%). Glycemia Risk Index zones were compared on CGM, sociodemographic, and clinical variables. Shapley value analysis examined the percentage of variation in GRI scores explained by different variables. Receiver operating characteristic curves examined GRI cutoffs for those more likely to have experienced ketoacidosis or severe hypoglycemia.

RESULTS

Mean glucose and variability, time in range, and percentage of time in high, and very high, glucose ranges differed across the five GRI zones (P values < .001). Multiple sociodemographic indices also differed across zones, including education level, race/ethnicity, age, and insurance status. Sociodemographic and clinical variables collectively explained 62.2% of variance in GRI scores. A GRI score ≥84.5 reflected greater likelihood of ketoacidosis (area under the curve [AUC] = 0.848), and scores ≥58.2 reflected greater likelihood of severe hypoglycemia (AUC = 0.729) over the previous six months.

CONCLUSIONS

Results support the use of the GRI, with GRI zones identifying those in need of clinical attention. Findings highlight the need to address health inequities. Treatment differences associated with the GRI also suggest behavioral and clinical interventions including starting individuals on CGM or automated insulin delivery systems.

Glycaemic outcomes in people living with diabetes under 65 and over 65 years old using an intermittently scanned continuous glucose monitoring system

Objective

Intermittently scanned continuous glucose monitoring (isCGM) has revolutionised the care of people with diabetes but its uptake and benefits in older adults are not well known. We examined the impact of isCGM (Freestyle Libre, FSL) on glycaemic outcomes in younger (⩽65 years) and older adults (>65 years) with diabetes.

Design and methods

In total, 2260 adult patients registered on the Libreview account at University Hospitals Birmingham NHS Foundation Trust, UK, were included. Inclusion criteria: all patients with type 1 and type 2 diabetes aged >18 years, use of isCGM >6 months, scanning at least 6 times/day. Demographics, diabetes history and glycaemic outcomes (time in range (TIR), time above range and time below range (TBR), estimated HbA1c, HbA1c at start and at end of study) were collected by accessing electronic patient records and Libreview. Outcomes were compared between age groups ⩽65 or >65 years old.

Results

Most patients were of Caucasian ethnicity (⩽65 years 68%, >65 years 73%) and had type 1 diabetes. Mean duration of diabetes was 19.5 years (range 0-65 years) and 34.5 years (range 0-79 years) for ⩽65 and >65 years, respectively. Only a quarter of those ⩽65 years achieved (219/943; 23.2%) their age specific TIR target compared to 69% (78/113) of those >65 years cohort, while 70.1% (663/946) of ⩽65 years and 40.7% (46/113) of >65 years achieved their age-specific TBR target. When the less strict ⩽65 years TBR target was applied, 75% (85/113) of >65 years cohort achieved this.

Conclusion

FSL use was associated with improved glycaemic outcomes across all age groups. Individualised targets may be needed to improve TBR in those aged >65 years.

Out of Sight, Out of Mind: A Call to Action for the Treatment of Hypoglycemia

Hypoglycemia will inevitably occur. Being prepared and implementing a treatment plan should help to restore euglycemia and resolve hypoglycemia symptoms. The plan comprises fast-acting carbohydrates and, importantly, ready-to-use glucagon for self-administration when carbohydrates are not working or for third-party administration when the affected person is unwilling or unable to swallow (e.g., unconscious or in a coma).

Risk factors and prediction of hypoglycaemia using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials

AIMS/HYPOTHESIS

The objective of the Hypoglycaemia REdefining SOLutions for better liVES (Hypo-RESOLVE) project is to use a dataset of pooled clinical trials across pharmaceutical and device companies in people with type 1 or type 2 diabetes to examine factors associated with incident hypoglycaemia events and to quantify the prediction of these events.

METHODS

Data from 90 trials with 46,254 participants were pooled. Analyses were done for type 1 and type 2 diabetes separately. Poisson mixed models, adjusted for age, sex, diabetes duration and trial identifier were fitted to assess the association of clinical variables with hypoglycaemia event counts. Tree-based gradient-boosting algorithms (XGBoost) were fitted using training data and their predictive performance in terms of area under the receiver operating characteristic curve (AUC) evaluated on test data. Baseline models including age, sex and diabetes duration were compared with models that further included a score of hypoglycaemia in the first 6 weeks from study entry, and full models that included further clinical variables. The relative predictive importance of each covariate was assessed using XGBoost's importance procedure. Prediction across the entire trial duration for each trial (mean of 34.8 weeks for type 1 diabetes and 25.3 weeks for type 2 diabetes) was assessed.

RESULTS

For both type 1 and type 2 diabetes, variables associated with more frequent hypoglycaemia included female sex, white ethnicity, longer diabetes duration, treatment with human as opposed to analogue-only insulin, higher glucose variability, higher score for hypoglycaemia across the 6 week baseline period, lower BP, lower lipid levels and treatment with psychoactive drugs. Prediction of any hypoglycaemia event of any severity was greater than prediction of hypoglycaemia requiring assistance (level 3 hypoglycaemia), for which events were sparser. For prediction of level 1 or worse hypoglycaemia during the whole follow-up period, the AUC was 0.835 (95% CI 0.826, 0.844) in type 1 diabetes and 0.840 (95% CI 0.831, 0.848) in type 2 diabetes. For level 3 hypoglycaemia, the AUC was lower at 0.689 (95% CI 0.667, 0.712) for type 1 diabetes and 0.705 (95% CI 0.662, 0.748) for type 2 diabetes. Compared with the baseline models, almost all the improvement in prediction could be captured by the individual's hypoglycaemia history, glucose variability and blood glucose over a 6 week baseline period.

CONCLUSIONS/INTERPRETATION

Although hypoglycaemia rates show large variation according to sociodemographic and clinical characteristics and treatment history, looking at a 6 week period of hypoglycaemia events and glucose measurements predicts future hypoglycaemia risk.

Trends in diabetic ketoacidosis- and hyperosmolar hyperglycemic state-related mortality during the COVID-19 pandemic in the United States: A population-based study

BACKGROUND

During the pandemic, a notable increase in diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS), conditions that warrant emergent management, was reported. We aimed to investigate the trend of DKA- and HHS-related mortality and excess deaths during the pandemic.

METHODS

Annual age-standardized mortality rates related to DKA and HHS between 2006 and 2021 were estimated using a nationwide database. Forecast analyses based on prepandemic data were conducted to predict the mortality rates during the pandemic. Excess mortality rates were calculated by comparing the observed versus predicted mortality rates. Subgroup analyses of demographic factors were performed.

RESULTS

There were 71 575 DKA-related deaths and 8618 HHS-related deaths documented during 2006-2021. DKA, which showed a steady increase before the pandemic, demonstrated a pronounced excess mortality during the pandemic (36.91% in 2020 and 46.58% in 2021) with an annual percentage change (APC) of 29.4% (95% CI: 16.0%-44.0%). Although HHS incurred a downward trend during 2006-2019, the excess deaths in 2020 (40.60%) and 2021 (56.64%) were profound. Pediatric decedents exhibited the highest excess mortality. More than half of the excess deaths due to DKA were coronavirus disease 2019 (COVID-19) related (51.3% in 2020 and 63.4% in 2021), whereas only less than a quarter of excess deaths due to HHS were COVID-19 related. A widened racial/ethnic disparity was observed, and females exhibited higher excess mortality than males.

CONCLUSIONS

The DKA- and HHS-related excess mortality during the pandemic and relevant disparities emphasize the urgent need for targeted strategies to mitigate the escalated risk in these populations during public health crises.

Forward programming of hiPSCs towards beta-like cells using Ngn3, Pdx1, and MafA

Transplantation of stem cell-derived β-cells is a promising therapeutic advancement in the treatment of type 1 diabetes mellitus. A current limitation of this approach is the long differentiation timeline that generates a heterogeneous population of pancreatic endocrine cells. To address this limitation, an inducible lentiviral overexpression system of mature β-cell markers was introduced into human induced-pluripotent stem cells (hiPSCs). Following the selection of the successfully transduced hiPSCs, the cells were treated with doxycycline in the pancreatic progenitor induction medium to support their transition toward the pancreatic lineage. Cells cultured with doxycycline presented the markers of interest, NGN3, PDX1, and MAFA, after five days of culture, and glucose-stimulated insulin secretion assays demonstrated that the cells were glucose-responsive in a monolayer culture. When cultured as a spheroid, the markers of interest and insulin secretion in a static glucose-stimulated insulin secretion assay were maintained; however, insulin secretion upon consecutive glucose challenges was limited. Comparison to human fetal and adult donor tissues identified that although the hiPSC-derived spheroids present similar markers to adult insulin-producing cells, they are functionally representative of fetal development. Together, these results suggest that with optimization of the temporal expression of these markers, forward programming of hiPSCs towards insulin-producing cells could be a possible alternative for islet transplantation.

Investigation of geographic disparities of diabetes-related hospitalizations in Florida using flexible spatial scan statistics: An ecological study

BACKGROUND

Hospitalizations due to diabetes complications are potentially preventable with effective management of the condition in the outpatient setting. Diabetes-related hospitalization (DRH) rates can provide valuable information about access, utilization, and efficacy of healthcare services. However, little is known about the local geographic distribution of DRH rates in Florida. Therefore, the objectives of this study were to investigate the geographic distribution of DRH rates at the ZIP code tabulation area (ZCTA) level in Florida, identify significant local clusters of high hospitalization rates, and describe characteristics of ZCTAs within the observed spatial clusters.

METHODS

Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Raw and spatial empirical Bayes smoothed DRH rates were computed at the ZCTA level. High-rate DRH clusters were identified using Tango's flexible spatial scan statistic. Choropleth maps were used to display smoothed DRH rates and significant high-rate spatial clusters. Demographic, socioeconomic, and healthcare-related characteristics of cluster and non-cluster ZCTAs were compared using the Wilcoxon rank sum test for continuous variables and Chi-square test for categorical variables.

RESULTS

There was a total of 554,133 diabetes-related hospitalizations during the study period. The statewide DRH rate was 8.5 per 1,000 person-years, but smoothed rates at the ZCTA level ranged from 0 to 101.9. A total of 24 significant high-rate spatial clusters were identified. High-rate clusters had a higher percentage of rural ZCTAs (60.9%) than non-cluster ZCTAs (41.8%). The median percent of non-Hispanic Black residents was significantly (p < 0.0001) higher in cluster ZCTAs than in non-cluster ZCTAs. Populations of cluster ZCTAs also had significantly (p < 0.0001) lower median income and educational attainment, and higher levels of unemployment and poverty compared to the rest of the state. In addition, median percent of the population with health insurance coverage and number of primary care physicians per capita were significantly (p < 0.0001) lower in cluster ZCTAs than in non-cluster ZCTAs.

CONCLUSIONS

This study identified geographic disparities of DRH rates at the ZCTA level in Florida. The identification of high-rate DRH clusters provides useful information to guide resource allocation such that communities with the highest burdens are prioritized to reduce the observed disparities. Future research will investigate determinants of hospitalization rates to inform public health planning, resource allocation and interventions.

Use of Sodium-Glucose Cotransporter Inhibitors in Type 1 Diabetes: The Promise and the Perils

OBJECTIVE

Despite improvements in glucose monitoring technologies, insulin formulations and insulin delivery systems, too many patients with type 1 diabetes (T1D) continue to struggle to meet their glycemic goals. As a result, they suffer from high rates of microvascular and macrovascular disease. Titration of insulin therapy, while essential to the care of these patients, is often limited by undesirable side effects of hypoglycemia and weight gain. Sodium-glucose cotransporter (SGLT) inhibitors have been proposed as a potential adjunctive therapy to insulin that may offset some of these effects, while simultaneously enabling patients with T1D to potentially reap the cardiovascular and renal benefits afforded by these agents in those with type 2 diabetes. This review summarizes and contextualizes the clinical trial data that has emerged with these agents in this specific population.

METHODS

A clinical review based on current literature was generated by the authors.

RESULTS

This review summarizes the data from several clinical trial programs investigating the use of SGLT inhibitors in T1D, describing the potential benefits and the ketosis-related adverse events of these agents (including euglycemic DKA), along with a discussion of possible mitigation strategies to reduce this risk.

CONCLUSION

Although theoretically SGLT inhibitors have the potential to improve metabolic, cardiovascular, and renal outcomes in patients with T1D, the risks of diabetic ketoacidosis currently represent an important limitation to the widespread use of these agents. If treatment is undertaken, caution must be taken, with implementation of effective mitigation strategies being essential.

Trends in Incidence of Hospitalization for Hypoglycemia and Diabetic Ketoacidosis in Individuals With Type 1 or Type 2 Diabetes With and Without Severe Mental Illness in Denmark From 1996 to 2020: A Nationwide Study

OBJECTIVE

To examine trends in incidence of acute diabetes complications in individuals with type 1 or type 2 diabetes with and without severe mental illness (SMI) in Denmark by age and calendar year.

RESEARCH DESIGN AND METHODS

We conducted a cohort study using nationwide registers from 1996 to 2020 to identify individuals with diabetes, ascertain SMI status (namely, schizophrenia, bipolar disorder, or major depression) and identify the outcomes: hospitalization for hypoglycemia and diabetic ketoacidosis (DKA). We used Poisson regression to estimate incidence rates (IRs) and incidence rate ratios (IRRs) of recurrent hypoglycemia and DKA events by SMI, age, and calendar year, accounting for sex, diabetes duration, education, and country of origin.

RESULTS

Among 433,609 individuals with diabetes, 8% had SMI. Risk of (first and subsequent) hypoglycemia events was higher for individuals with SMI than for those without SMI (for first hypoglycemia event, IRR: type 1 diabetes, 1.77 [95% CI 1.56-2.00]; type 2 diabetes, 1.64 [95% CI 1.55-1.74]). Individuals with schizophrenia were particularly at risk for recurrent hypoglycemia events. The risk of first DKA event was higher in individuals with SMI (for first DKA event, IRR: type 1 diabetes, 1.78 [95% CI 1.50-2.11]; type 2 diabetes, 1.85 [95% CI 1.64-2.09]). Except for DKA in the type 2 diabetes group, IR differences between individuals with and without SMI were highest in younger individuals (<50 years old) but stable across the calendar year.

CONCLUSIONS

SMI is an important risk factor for acute diabetes complication and effective prevention is needed in this population, especially among the younger population and those with schizophrenia.

Risk factors associated with cognitive performance and cognitive impairment in older adults with type 1 diabetes: Data from the Wireless Innovation for Seniors with Diabetes Mellitus (WISDM) study

BACKGROUND

Adults with type 1 diabetes (T1D) are considered at increased risk for cognitive impairment and accelerated brain aging. However, longitudinal data on cognitive impairment and dementia in this population are scarce.

OBJECTIVE

To identify risk factors associated with cognitive performance and cognitive impairment in a longitudinal sample of older adults with T1D.

METHODS

We analyzed data collected as part of the Wireless Innovation for Seniors with Diabetes Mellitus (WISDM) Study, in which 22 endocrinology practices participated. Randomized participants with T1D ≥60 years of age who completed at least one cognitive assessment were included in this study (n = 203). Cognitive impairment was classified using published recommendations.

RESULTS

Older age, male sex, non-private health insurance, worse daily functioning, diagnosis of neuropathy, and longer duration of diabetes were associated with worse cognitive performance, but not cognitive impairment. 49 % and 39 % of the sample met criteria for cognitive impairment at baseline and 52 weeks respectively. Of the participants that had data at both time points, 10 % were normal at baseline and impaired at 52 weeks and 22 % of participants (44 % of those classified with cognitive impairment at baseline) reverted to normal over 52 weeks.

CONCLUSION

This study indicated that several demographic and clinical characteristics are associated with worse cognitive performance in older adults with T1D, but there were no associations between these characteristics and cognitive impairment defined by NIH Toolbox cognitive impairment criteria. Caution is warranted when assessing cognition in older adults with T1D, as a large percentage of those identified as having cognitive impairment at baseline reverted to normal after 52 weeks. There is need for future studies on the interrelationship of cognition and aging to better understand the effects of T1D on cognitive health, to improve clinical monitoring and help mitigate the risk of dementia in this population.

Use of machine learning to identify characteristics associated with severe hypoglycemia in older adults with type 1 diabetes: a post-hoc analysis of a case-control study

INTRODUCTION

Severe hypoglycemia (SH) in older adults (OAs) with type 1 diabetes is associated with profound morbidity and mortality, yet its etiology can be complex and multifactorial. Enhanced tools to identify OAs who are at high risk for SH are needed. This study used machine learning to identify characteristics that distinguish those with and without recent SH, selecting from a range of demographic and clinical, behavioral and lifestyle, and neurocognitive characteristics, along with continuous glucose monitoring (CGM) measures.

RESEARCH DESIGN AND METHODS

Data from a case-control study involving OAs recruited from the T1D Exchange Clinical Network were analyzed. The random forest machine learning algorithm was used to elucidate the characteristics associated with case versus control status and their relative importance. Models with successively rich characteristic sets were examined to systematically incorporate each domain of possible risk characteristics.

RESULTS

Data from 191 OAs with type 1 diabetes (47.1% female, 92.1% non-Hispanic white) were analyzed. Across models, hypoglycemia unawareness was the top characteristic associated with SH history. For the model with the richest input data, the most important characteristics, in descending order, were hypoglycemia unawareness, hypoglycemia fear, coefficient of variation from CGM, % time blood glucose below 70 mg/dL, and trail making test B score.

CONCLUSIONS

Machine learning may augment risk stratification for OAs by identifying key characteristics associated with SH. Prospective studies are needed to identify the predictive performance of these risk characteristics.

New advances in type 1 diabetes

Type 1 diabetes is an autoimmune condition resulting in insulin deficiency and eventual loss of pancreatic β cell function requiring lifelong insulin therapy. Since the discovery of insulin more than 100 years ago, vast advances in treatments have improved care for many people with type 1 diabetes. Ongoing research on the genetics and immunology of type 1 diabetes and on interventions to modify disease course and preserve β cell function have expanded our broad understanding of this condition. Biomarkers of type 1 diabetes are detectable months to years before development of overt disease, and three stages of diabetes are now recognized. The advent of continuous glucose monitoring and the newer automated insulin delivery systems have changed the landscape of type 1 diabetes management and are associated with improved glycated hemoglobin and decreased hypoglycemia. Adjunctive therapies such as sodium glucose cotransporter-1 inhibitors and glucagon-like peptide 1 receptor agonists may find use in management in the future. Despite these rapid advances in the field, people living in under-resourced parts of the world struggle to obtain necessities such as insulin, syringes, and blood glucose monitoring essential for managing this condition. This review covers recent developments in diagnosis and treatment and future directions in the broad field of type 1 diabetes.

Pharmacologic inhibition of somatostatin receptor 2 to restore glucagon counterregulation in diabetes

Glucose homeostasis is primarily maintained by pancreatic hormones, insulin and glucagon, with an emerging role for a third islet hormone, somatostatin, in regulating insulin and glucagon responses. Under healthy conditions, somatostatin secreted from pancreatic islet δ-cells inhibits both insulin and glucagon release through somatostatin receptor- induced cAMP-mediated downregulation and paracrine inhibition of β- and α-cells, respectively. Since glucagon is the body's most important anti-hypoglycemic hormone, and because glucagon counterregulation to hypoglycemia is lost in diabetes, the study of somatostatin biology has led to new investigational medications now in development that may help to restore glucagon counterregulation in type 1 diabetes. This review highlights the normal regulatory role of pancreatic somatostatin signaling in healthy islet function and how the inhibition of somatostatin receptor signaling in pancreatic α-cells may restore normal glucagon counterregulation in diabetes mellitus.

American Diabetes Association Professional Practice Committee, ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Gaglia JL, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Younger patients and low c-peptide immunoreactivity index but not nutritional states affect fasting blood ketone levels in Japanese with type 1 diabetes after sodium-glucose cotransporter 2 inhibitor administration

AIM

Sodium-glucose cotransporter 2 inhibitors (SGLT2is) are available for individuals with type 1 diabetes, but appropriate use is recommended to prevent ketosis or ketoacidosis. This study aimed to evaluate the risk of ketosis in people with type 1 diabetes, focusing on the relationship between nutritional assessment, glycaemic status, c-peptide immunoreactivity (CPR) index and body composition.

MATERIALS AND METHODS

In total, 46 Japanese patients with type 1 diabetes were included, and dietary assessment from food photographs and ketone levels were evaluated before and after taking SGLT2is. The effect of diet on morning ketone levels was also investigated.

RESULTS

All patients had an increase in mean ketone concentrations after taking SGLT2is (before 0.12 ± 0.06 mmol/L, after 0.23 ± 0.16 mmol/L). A significant negative correlation was found between average morning ketone levels and age (r = -0.514, p < .001) and the CPR index (r = -0.523, p = .038) after taking SGLT2is. Using a mixed-effects model based on the results before starting the inhibitors, it was noted that both patient-to-patient and age, or patient-to-patient and capacity of insulin secretion, influenced the ketone levels. Multiple regression analysis showed that factors associated with the risk of increasing ketone levels after taking SGLT2is were younger age (β = -0.504, p = .003) and a low ratio of basal to bolus insulin (β = -0.420, p = .005).

CONCLUSIONS

When administering SGLT2is to patients with a low CPR index or younger patients with type 1 diabetes, adequate instructions to prevent ketosis should be given.

Awareness and knowledge of diabetic ketoacidosis in people with type 1 diabetes: a cross-sectional, multicenter survey

INTRODUCTION

To evaluate awareness and knowledge of diabetic ketoacidosis (DKA), a common and potentially life-threatening complication in people living with type 1 diabetes (T1D).

RESEARCH DESIGN AND METHODS

A survey was developed to assess individuals' current knowledge, management, and unmet needs regarding DKA. The study was conducted in six Swiss and three German endocrine outpatient clinics specialized in the treatment of diabetes.

RESULTS

A total of 333 participants completed the questionnaire (45.7% female, mean age of 47 years, average duration of T1D at 22 years). Surprisingly, 32% of individuals were not familiar with the term 'diabetic ketoacidosis'. Participants rated their own knowledge of DKA significantly lower than their physicians (p<0.0001). 46% of participants were unable to name a symptom of DKA, and 45% were unaware of its potential causes. 64% of participants did not test for ketones at all. A significant majority (67%) of individuals expressed the need for more information about DKA.

CONCLUSIONS

In patients treated in specialized centers, knowledge of DKA was found to be inadequate, with a lack of understanding regarding symptoms and causes. Healthcare professionals tended to overestimate individuals' knowledge. Future efforts should focus on addressing these knowledge gaps and incorporating protective factors into the treatment of T1D.

Point-of-Care Capillary Blood Ketone Measurements and the Prediction of Future Ketoacidosis Risk in Type 1 Diabetes

OBJECTIVE

Rather than during illness while diabetic ketoacidosis (DKA) is developing, we aimed to determine if levels of routine point-of-care capillary blood ketones could predict future DKA.

RESEARCH DESIGN AND METHODS

We examined previously collected data from placebo-assigned participants in an adjunct-to-insulin medication trial program that included measurement of fasted capillary blood ketone levels twice per week in a 2-month baseline period. The outcome was 6- to 12-month trial-adjudicated DKA.

RESULTS

DKA events occurred in 12 of 484 participants at a median of 105 (interquartile range 43, 199) days. Maximum ketone levels were higher in patient cases compared with in control patients (0.8 [0.6, 1.2] vs. 0.3 [0.2, 0.7] mmol/L; P = 0.002), with a nonparametric area under the receiver operating characteristic curve of 0.77 (95% CI 0.66-0.88). Ketone levels ≥0.8 mmol/L had a sensitivity of 64%, a specificity of 78%, and positive and negative likelihood ratios of 2.9 and 0.5, respectively.

CONCLUSIONS

This proof of concept that routine capillary ketone surveillance can identify individuals at high risk of future DKA implies a role for future technologies including continuous ketone monitoring.

Time Trends in the Incidence of Diabetic Ketoacidosis Leading to Hospital Admission Among Adults With Type 1 Diabetes: A Nationwide Danish Register Study

OBJECTIVE

Diabetic ketoacidosis (DKA) is a life-threatening but preventable complication in people with type 1 diabetes. We aimed to quantify the incidence of DKA according to age and describe the time trend of DKA among adults with type 1 diabetes in Denmark.

RESEARCH DESIGN AND METHODS

Individuals aged ≥18 years with type 1 diabetes were identified from a nationwide Danish diabetes register. Hospital admissions due to DKA were ascertained from the National Patient Register. The follow-up period was from 1996 to 2020.

RESULTS

The cohort consisted of 24,718 adults with type 1 diabetes. The incidence rate of DKA per 100 person-years (PY) decreased with increasing age for both men and women. From 20 to 80 years of age, the DKA incidence rate decreased from 3.27 to 0.38 per 100 PY. From 1996 to 2008, the incidence rate of DKA increased for all age-groups, with a subsequent minor decrease in incidence rate until 2020. From 1996 to 2008, the incidence rates increased from 1.91 to 3.77 per 100 PY for a 20-year-old individual and from 0.22 to 0.44 per 100 PY for an 80-year-old individual living with type 1 diabetes. From 2008 to 2020 the incidence rates decreased from 3.77 to 3.27 and from 0.44 to 0.38 per 100 PY, respectively.

CONCLUSIONS

The incidence rates of DKA are declining for all ages, with an overall decline from 2008 for both men and women. This likely reflects improved diabetes management for individuals with type 1 diabetes in Denmark.

Use of Telemedicine in Adults with Type 1 Diabetes: Do Age and Use of Diabetes-Related Technology Matter?

Objective: Older adults are generally less proficient in technology use compared with younger adults. Data on telemedicine use during the COVID-19 pandemic in older persons with type 1 diabetes (T1D) and the association of telemedicine with the use of diabetes-related technology are limited. We evaluated care delivery to older adults compared with younger adults with T1D in a prepandemic and pandemic period. Methods: Data from electronic health records were evaluated for visit types (in-person, phone, and video) from two sequential 12-month intervals: prepandemic (April 2019-March 2020) and pandemic (April 2020-March 2021). Results: Data from 2,832 unique adults with T1D were evaluated in two age cohorts: younger (40-64 years) and older (≥65 years). Half of each group used continuous glucose monitoring (CGM), whereas 54% of the younger and 37% of the older cohort used pump therapy (p < 0.001). During the pandemic compared with the prepandemic period, visit frequency increased in both the younger (0.65 vs. 0.76 visits/patient/quarter; p < 0.01) and older (0.72 vs. 0.80 visits/patient/quarter; p < 0.01) cohorts. During the pandemic, older adults used more phone visits compared with younger adults (48% vs. 32%; p = 0.001). Patients using either pump therapy or CGM were more likely to use video visits compared with phone visits in both younger (41% vs. 24%; p < 0.001) and older cohorts (53% vs. 42%; p < 0.001). Conclusions: Adults using diabetes-related technologies, independent of age, accessed more video visits than those not using devices. Telemedicine visits appeared to maintain continuity of care for younger and older adults with T1D, supporting the future of a hybrid-care model.

Barriers to Exercise in Adults With Type 1 Diabetes and Insulin Resistance

OBJECTIVE

Our aim in this study was to assess attitudes toward exercise and quality of life (QoL) in adults with type 1 diabetes (T1D) with and without insulin resistance (IR).

METHODS

We pooled baseline pretreatment data from a subset of individuals with T1D from 2 randomized controlled trials. Estimated glucose disposal rate (eGDR), a validated surrogate marker of IR, was calculated using an established formula to classify individuals according to IR status with a cutpoint of <6 mg/kg/min for the determination of IR. Self-reported barriers to exercise were obtained using a validated questionnaire, the Barriers to Physical Activity in T1D (BAPAD-1). In addition, QoL was determined using the 36-item Short Form (SF-36) questionnaire. Differences between dichotomized variables were assessed using the independent t test, Mann-Whitney U test, or Fisher exact test. Linear regression was employed to explore the association of eGDR with BAPAD-1 and QoL scores, with sequential adjustment for potential confounders.

RESULTS

Of the 85 individuals included in our study, 39 were classified as having IR. The mean BAPAD-1 total score was higher for individuals with IR (IR: 3.87±0.61; non-IR: 2.83±0.55; p<0.001). The highest exercise barrier scores for individuals with IR were risk of hypoglycemia (5.67±1.26) and risk of hyperglycemia (5.23±1.20), whereas the highest scoring exercise barrier scores for non-IR individuals were not diabetes-related, with low level of fitness (3.91±1.26) and physical health status, excluding diabetes (3.67±1.48), ranked highest. QoL scores were comparable between groups (p>0.05).

CONCLUSIONS

Risk of hypoglycemia was the greatest barrier to exercise in individuals with T1D with IR, whereas non-diabetes-related barriers to exercise were more salient in individuals with T1D without IR.

Effectiveness of flash glucose monitoring in patients with type 1 diabetes and recurrent hypoglycemia between early and late stages after flash glucose monitoring initiation

AIMS

Evaluate the effectiveness of reimbursed flash glucose monitoring with optional alarms (FGM) in preventing severe hypoglycemia (SH) and reducing hypoglycemia exposure in T1D patients prone to hypoglycemia.

METHODS

Ambispective study in T1D patients treated with multiple daily injections (MDI) and prone to hypoglycemia, initiating reimbursed FGM (FreeStyle Libre 2). The primary outcome was the number of SH events (requiring third party assistance) and main secondary outcomes were time below range < 70 (TBR < 70) and < 54 mg/dL (TBR < 54), impaired awareness of hypoglycemia (IAH) and quality of life (QoL). Logistic regression models were constructed to explore variables associated with success of the intervention.

RESULTS

We included 110 patients (52.7 % women, mean age 47.8 ± 17.0 years). SH events at 1-year follow-up decreased from 0.3 ± 0.6 to 0.03 ± 0.2 (p < 0.001). Significant reductions in patients presenting an SH (26.4 % vs. 2.9 %, p < 0.001) and IAH (47.1 % vs. 25.9 %, p = 0.002) were observed, as well as improvements in QoL. TBR < 70 and TBR < 54 were not significantly reduced. Baseline GMI was inversely associated with a decrease in TBR < 70 [OR 0.37 (0.15-0.93)] and directly with an increase in time in range 70-180 mg/dL [OR 2.10 (1.03-4.28)].

CONCLUSIONS

FGM decreased SH and improved hypoglycemia awareness and QoL. Initial tight glycemic control was associated with a decrease in hypoglycemia, while patients with suboptimal control reduced hyperglycemia.

Clinical Characterization of Data-Driven Diabetes Clusters of Pediatric Type 2 Diabetes

Background

Pediatric Type 2 diabetes (T2D) is highly heterogeneous. Previous reports on adult-onset diabetes demonstrated the existence of diabetes clusters. Therefore, we set out to identify unique diabetes subgroups with distinct characteristics among youth with T2D using commonly available demographic, clinical, and biochemical data.

Methods

We performed data-driven cluster analysis (K-prototypes clustering) to characterize diabetes subtypes in pediatrics using a dataset with 722 children and adolescents with autoantibody-negative T2D. The six variables included in our analysis were sex, race/ethnicity, age, BMI Z-score and hemoglobin A1c at the time of diagnosis, and non-HDL cholesterol within first year of diagnosis.

Results

We identified five distinct clusters of pediatric T2D, with different features, treatment regimens and risk of diabetes complications: Cluster 1 was characterized by higher A1c; Cluster 2, by higher non-HDL; Cluster 3, by lower age at diagnosis and lower A1c; Cluster 4, by lower BMI and higher A1c; and Cluster 5, by lower A1c and higher age. Youth in Cluster 1 had the highest rate of diabetic ketoacidosis (DKA) (p = 0.0001) and were most prescribed metformin (p = 0.06). Those in Cluster 2 were most prone to polycystic ovarian syndrome (p = 0.001). Younger individuals with lowest family history of diabetes were least frequently diagnosed with diabetic ketoacidosis (p = 0.001) and microalbuminuria (p = 0.06). Low-BMI individuals with higher A1c had the lowest prevalence of acanthosis nigricans (p = 0.0003) and hypertension (p = 0.03).

Conclusions

Utilizing clinical measures gathered at the time of diabetes diagnosis can be used to identify subgroups of pediatric T2D with prognostic value. Consequently, this advancement contributes to the progression and wider implementation of precision medicine in diabetes management.

Gender differences in reported frequency and consequences of hypoglycemia among adults living with type 1 diabetes: results from the BETTER registry

AIMS

To evaluate the frequency and consequences of level 2 (L2H, glucose level <3.0 mmol/L with autonomous management) and level 3 hypoglycemia (L3H requiring external assistance to treat), in adults living with type 1 diabetes (T1D), while investigating the role of gender.

METHODS

Cross-sectional analysis of self-reported retrospective data from a Canadian registry of 900 adults living with T1D using logistic regression models adjusted for age, T1D management modalities, hypoglycemia history, and validated patient-reported outcomes scales. Changes in diabetes management, seeking healthcare resources, and impacts on daily well-being were explored.

RESULTS

Of the 900 adults (66% women, mean age 43.7 ± 14.8 years, mean T1D duration 25.5 ± 14.6 years), 87% used wearable diabetes technology. L3H in the past year was reported by 15% participants, similar between genders. Women reported more L2Hstudy analysis than men (median (Q1, Q3): 4 (2, 10) vs 3 (1,8), p=0.015), and were more likely to report persistent fatigue after both L2H and L3H (Odds ratio [95% confidence interval]: 1.95 [1.16, 3.28] and 1.86 [1.25, 2.75], respectively) and anxiety (1.70 [1.05, 2.75]) after a L3H.

CONCLUSIONS

The findings suggest taking a gender-based differential approach when addressing hypoglycemia and its various consequences for people living with T1D.

Automated Insulin Delivery for Hypoglycemia Avoidance and Glucose Counterregulation in Long-Standing Type 1 Diabetes with Hypoglycemia Unawareness

Objective: Automated insulin delivery (AID) may benefit individuals with long-standing type 1 diabetes where frequent exposure to hypoglycemia impairs counterregulatory responses. This study assessed the effect of 18 months AID on hypoglycemia avoidance and glucose counterregulatory responses to insulin-induced hypoglycemia in long-standing type 1 diabetes complicated by impaired awareness of hypoglycemia. Methods: Ten participants mean ± standard deviation age 49 ± 16 and diabetes duration 34 ± 16 years were initiated on AID. Continuous glucose monitoring was paired with actigraphy to assess awake- and sleep-associated hypoglycemia exposure every 3 months. Hyperinsulinemic hypoglycemic clamp experiments were performed at baseline, 6, and 18 months postintervention. Hypoglycemia exposure was reduced by 3 months, especially during sleep, with effects sustained through 18 months (P ≤ 0.001) together with reduced glucose variability (P < 0.01). Results: Hypoglycemia awareness and severity scores improved (P < 0.01) with severe hypoglycemia events reduced from median (interquartile range) 3 (3-10) at baseline to 0 (0-1) events/person·year postintervention (P = 0.005). During the hypoglycemic clamp experiments, no change was seen in the endogenous glucose production (EGP) response, however, peripheral glucose utilization during hypoglycemia was reduced following intervention [pre: 4.6 ± 0.4, 6 months: 3.8 ± 0.5, 18 months: 3.4 ± 0.3 mg/(kg·min), P < 0.05]. There were increases over time in pancreatic polypeptide (Pre:62 ± 29, 6 months:127 ± 44, 18 months:176 ± 58 pmol/L, P < 0.01), epinephrine (Pre: 199 ± 53, 6 months: 332 ± 91, 18 months: 386 ± 95 pg/mL, P = 0.001), and autonomic symptom (Pre: 6 ± 2, 6 months: 6 ± 2, 18 months: 10 ± 2, P < 0.05) responses. Conclusions: AID led to a sustained reduction of hypoglycemia exposure. EGP in response to insulin-induced hypoglycemia remained defective, however, partial recovery of glucose counterregulation was evidenced by a reduction in peripheral glucose utilization likely mediated by increased epinephrine secretion and, together with improved autonomic symptoms, may contribute to the observed clinical reduction in hypoglycemia.

The use of isCGM leads to marked reduction in severe hypoglycemia requiring emergency medical service or hospital admission and diabetic ketoacidosis in adult type 1 diabetes patients

AIMS

To determine the effect of the use of intermittently scanned continuous glucose monitoring (isCGM) on acute diabetes-related complications in adult type 1 diabetes patients.

METHODS

Six hundred and forty-two adult type 1 diabetes patients with isCGM were identified from electronic health records in Siun sote region in Eastern Finland. A retrospective real-world analysis was conducted combining hospital admission and prehospital emergency service data to compare incidences of hypoglycemia requiring emergency medical support (EMS) involvement or hospital admission and diabetic ketoacidosis (DKA) before and after the start of isCGM. Data were collected from January 2015 to April 2020. Primary outcome was the rate of hypoglycemia requiring EMS involvement or hospital admission and DKA events. HbA1c was recorded at the start of isCGM and was compared with the last known HbA1c during the use of isCGM. The isCGM used in the study did not contain alarm functions.

RESULTS

Altogether 220 hypoglycemic events were identified during the study period. Incidence rate of hypoglycemic events decreased after the start of isCGM (72 events, incidence rate 50 events/1000 person-years) compared with the time before the start (148 events, incidence rate 76 events/1000 person-years) (p = 0.043). The incidence rate of DKA decreased after the start of isCGM compared with time before isCGM use (4 and 15 events/1000 person-years, respectively; p = 0.002). The change in mean HbA1c was - 0.28% (- 3.1 mmol/mol) between baseline and the last HbA1c measurement (p < 0.001).

CONCLUSIONS

In addition to lowering HbA1c in type 1 diabetes patients, isCGM is also effective in preventing acute diabetes-related complications such as hypoglycemia requiring EMS involvement or hospital admission and DKA.

Hypoglycaemia in type 1 diabetes mellitus: risks and practical prevention strategies

Hypoglycaemia, which occurs when blood levels of glucose fall below what is considered a normal range, is a well-known complication of insulin therapy in individuals with type 1 diabetes mellitus. Despite advances in diabetes mellitus management, hypoglycaemia has continued to affect the majority of these individuals, leading to suboptimal care and decreased quality of life. Multiple epidemiological studies have demonstrated the risks associated with hypoglycaemic events. With this understanding, various advances have been made in therapeutics for diabetes mellitus management. Diabetes mellitus education continues to form the foundation for management and prevention of hypoglycaemia. The advent of newer diabetes mellitus technologies and newer insulins herald improvements in management strategies and hypoglycaemia prevention. Improved understanding of these newer approaches is needed to ensure delivery of safe and effective care to individuals with type 1 diabetes mellitus, leading to reductions in both the short-term and long-term morbidity and mortality associated with hypoglycaemic events.

Past, Present, and Future of Continuous Glucose Monitors (CGMs)

n/a.

Influence of severe hypoglycemia definition wording on reported prevalence in adults and adolescents with type 1 diabetes: a cross-sectional analysis from the BETTER patient-engagement registry analysis

AIMS

Compare the self-reported prevalence of severe hypoglycemia (level-3-H) in people with type 1 diabetes (PWT1D) according to two wording of definition: by the International Hypoglycemia Study Group (IHSG) and an alternate simplified version developed by patient-partners (PP).

METHODS

Cross-sectional study (PWT1D >  = 14 years) self-reporting risk factors, patient-year incidence and annual prevalence of level-3-H were defined according to either IHSG's wording (low sugar levels requiring help from another person, or use of glucagon, or hospitalization, or loss of consciousness) or with an alternative simpler wording developed by PP (low sugar levels that you would have been unable to treat).

RESULTS

Among 1430 eligible participants, in the last 12 months, the annual prevalence of level-3-H (IHSG: 242/100 vs. PP: 231/100 patient-years, p = 0.229) and median number of episodes (IHSG: 2.0 [1-3] vs. PP: 1.0 [1-3], p = 0.359) were similar. The prevalence of participants reporting hypoglycemia in the past year was higher with IHSG wording (13.5% vs. 10.5%; p < 0.001); this difference was significantly (p < 0.001) larger among patients with impaired awareness of hypoglycemia. Association of both definitions with level-3-H risk factors was comparable.

CONCLUSIONS

The level-3-H episodes by PP and IHSG wording were comparable. The simplicity of PP wording may allow better mutual understanding between patients and healthcare team.

TRIAL REGISTRATION

NCT03720197 (registered on October 19th 2018).

Effectiveness and safety of a model predictive control (MPC) algorithm for an artificial pancreas system in outpatients with type 1 diabetes (T1D): systematic review and meta-analysis

BACKGROUND

The purpose of this study was to assess the effectiveness and safety of a model predictive control (MPC) algorithm for an artificial pancreas system in outpatients with type 1 diabetes.

METHODS

We searched PubMed, EMBASE, Cochrane Central, and the Web of Science to December 2021. The eligibility criteria for study selection were randomized controlled trials comparing artificial pancreas systems (MPC, PID, and fuzzy algorithms) with conventional insulin therapy in type 1 diabetes patients. The heterogeneity of the overall results was identified by subgroup analysis of two factors including the intervention duration (overnight and 24 h) and the follow-up periods (< 1 week, 1 week to 1 month, and > 1 month).

RESULTS

The meta-analysis included a total of 41 studies. Considering the effect on the percentage of time maintained in the target range between the MPC-based artificial pancreas and conventional insulin therapy, the results showed a statistically significantly higher percentage of time maintained in the target range in overnight use (10.03%, 95% CI [7.50, 12.56] p < 0.00001). When the follow-up period was considered, in overnight use, the MPC-based algorithm showed a statistically significantly lower percentage of time maintained in the hypoglycemic range (-1.34%, 95% CI [-1.87, -0.81] p < 0.00001) over a long period of use (> 1 month).

CONCLUSIONS

Overnight use of the MPC-based artificial pancreas system statistically significantly improved glucose control while increasing time maintained in the target range for outpatients with type 1 diabetes. Results of subgroup analysis revealed that MPC algorithm-based artificial pancreas system was safe while reducing the time maintained in the hypoglycemic range after an overnight intervention with a long follow-up period (more than 1 month).

Self-reported Severe and Nonsevere Hypoglycemia in Type 1 Diabetes: Population Surveillance Through the BETTER Patient Engagement Registry: Development and Baseline Characteristics

OBJECTIVES

The BETTER (BEhaviors, Therapies, TEchnologies and hypoglycemic Risk in Type 1 diabetes) registry is a type 1 diabetes population surveillance system codeveloped with patient partners to address the burden of hypoglycemia and assess the impact of new therapies and technologies. The aim of this report was to describe the baseline characteristics of the BETTER registry cohort.

METHODS

A cross-sectional baseline evaluation was performed of a Canadian clinical cohort established after distribution of an online questionnaire. Participants were recruited through clinics, public foundations, advertising and social media. As of February 2021, 1,430 persons ≥14 years of age and living with type 1 diabetes or latent-autoimmune diabetes (LADA) were enrolled. The trial was registered on ClinicalTrials.gov (NCT03720197).

RESULTS

Participants were (mean ± standard deviation) 41.2±15.7 years old with a diabetes duration of 22.0±14.7 years, 62.0% female, 92.1% Caucasian and 7.8% self-reporting as LADA, with 40.9% using a continuous subcutaneous insulin infusion (CSII) system and 78.0% using a continuous glucose monitoring (CGM) system. The most recent glycated hemoglobin ≤7% was reported by 29.7% of participants. At least 1 episode of hypoglycemia <3.0 mmol/L (level 2-H) in the last month was reported by 78.4% of participants, with a median (interquartile range) of 5 (3, 10) episodes. The occurrence of severe hypoglycemia (level 3-H) in the last 12 months was reported by 13.3% of participants. Among these, the median number of episodes was 2 (1, 3).

CONCLUSIONS

We have established the first surveillance registry for people living with type 1 diabetes in Canada relying on patient-reported outcomes and experiences. Hypoglycemia is a highly prevalent burden despite a relatively wide adoption of CSII and CGM use.

Use of Telecommunication and Diabetes-Related Technologies in Older Adults With Type 1 Diabetes During a Time of Sudden Isolation: Mixed Methods Study

BACKGROUND

The COVID-19 lockdown imposed a sudden change in lifestyle with self-isolation and a rapid shift to the use of technology to maintain clinical care and social connections.

OBJECTIVE

In this mixed methods study, we explored the impact of isolation during the lockdown on the use of technology in older adults with type 1 diabetes (T1D).

METHODS

Older adults (aged ≥65 years) with T1D using continuous glucose monitoring (CGM) participated in semistructured interviews during the COVID-19 lockdown. A multidisciplinary team coded the interviews. In addition, CGM metrics from a subgroup of participants were collected before and during the lockdown.

RESULTS

We evaluated 34 participants (mean age 71, SD 5 years). Three themes related to technology use emerged from the thematic analysis regarding the impact of isolation on (1) insulin pump and CGM use to manage diabetes, including timely access to supplies, and changing Medicare eligibility regulations; (2) technology use for social interaction; and (3) telehealth use to maintain medical care. The CGM data from a subgroup (19/34, 56%; mean age 74, SD 5 years) showed an increase in time in range (mean 57%, SD 17% vs mean 63%, SD 15%; P=.001), a decrease in hyperglycemia (>180 mg/dL; mean 41%, SD 19% vs mean 35%, SD 17%; P<.001), and no change in hypoglycemia (<70 mg/dL; median 0.7%, IQR 0%-2% vs median 1.1%, IQR 0%-4%; P=.40) during the lockdown compared to before the lockdown.

CONCLUSIONS

These findings show that our cohort of older adults successfully used technology during isolation. Participants provided the positive and negative perceptions of technology use. Clinicians can benefit from our findings by identifying barriers to technology use during times of isolation and developing strategies to overcome these barriers.

Type 1 diabetes and engineering enhanced islet transplantation

The development of new therapeutic approaches to treat type 1 diabetes mellitus (T1D) relies on the precise understanding and deciphering of insulin-secreting β-cell biology, as well as the mechanisms responsible for their autoimmune destruction. β-cell or islet transplantation is viewed as a potential long-term therapy for the millions of patients with diabetes. To advance the field of insulin-secreting cell transplantation, two main research areas are currently investigated by the scientific community: (1) the identification of the developmental pathways that drive the differentiation of stem cells into insulin-producing cells, providing an inexhaustible source of cells; and (2) transplantation strategies and engineered transplants to provide protection and enhance the functionality of transplanted cells. In this review, we discuss the biology of pancreatic β-cells, pathology of T1D and current state of β-cell differentiation. We give a comprehensive view and discuss the different possibilities to engineer enhanced insulin-secreting cell/islet transplantation from a translational perspective.

Evaluation of Clinical Metrics for Identifying Defective Physiologic Responses to Hypoglycemia in Long-Standing Type 1 Diabetes

Repeated hypoglycemia exposure leads to impaired awareness of hypoglycemia (IAH) and the development of defective counterregulatory responses. To date, only pancreas or islet transplantation has demonstrated normalization of hypoglycemia awareness and the endogenous glucose production (EGP) response to defend against insulin-induced hypoglycemia in long-standing type 1 diabetes (T1D). This study aims to validate clinical metrics of IAH (Clarke score), hypoglycemia severity (HYPO score), glycemic lability (lability index), and continuous glucose monitoring (CGM) as predictors of absent autonomic symptom (AS) recognition and defective glucose counterregulation during insulin-induced hypoglycemia, thus enabling early identification of individuals with compromised physiologic defense against clinically significant hypoglycemia. Forty-three subjects with mean ± standard deviation age 43 ± 13 years and T1D duration 28 ± 13 years, including 32 with IAH and 11 with hypoglycemia awareness (Aware), and 12 nondiabetic control subjects, underwent single-blinded randomized-paired hyperinsulinemic-euglycemic and hypoglycemic clamp experiments. Receiver operating characteristic (ROC) curves and sensitivity analyses were performed to assess metric prediction of absent AS recognition and defective EGP responses to hypoglycemia. Clarke score and CGM measures of hypoglycemia exposure demonstrated good ability to predict absent AS recognition (area under the curve ≥0.80). A composite threshold of IAH-Clarke ≥4 with ROC curve-derived thresholds for CGM measures of hypoglycemia exposure showed high specificity and predictive value in identifying an absent AS response during the hypoglycemic clamp. Metrics demonstrated poor ability to predict defective glucose counterregulation by the EGP response, which was impaired even in the Aware group. Screening for IAH alongside assessment of CGM data can increase the specificity for identifying individuals with absent hypoglycemia symptom recognition who may benefit from further intervention.

Diabetic Ketoacidosis and its Severity Predictors in Type 1 Diabetic Children; A 10-year Experience of A Teaching Hospital in Saudi Arabia

OBJECTIVE: Our objective was to determine the trend and precipitating factors of the severity of diabetic ketoacidosis (DKA) in the population admitted to the Pediatric Intensive Care Unit (PICU) in a large teaching hospital in the Eastern region of Saudi Arabia. METHODS: We conducted a retrospective, analytical study at King Fahad Hospital, Imam Abdulrahman Bin Faisal University, Alkhobar, Saudi Arabia. We retrieved the complete medical records of 2234 children who were admitted to the PICU during the 10-year period of 2010 through 2019. The children included those with polydipsia, polyurea, abdominal pain, vomiting, dehydration, and weight loss, as well as breathing disturbances due to acidosis and CNS issues such as lethargy or coma and elevated blood glucose level, > 200 mg/dL [> 11.1 mmol/L], venous pH 7.3, serum total CO2 15 mmol/L, and blood- hydroxybutyrate concentration 3 mmol/L or moderate or severe ketonuria. RESULTS: Out of 2234 PICU admissions, 211 (9.4%) were diagnosed with DKA. A persistent increase in the rate of DKA ended up at 14.1% in 2019 (p = .005). The incidence of DKA was 88/2234 (3.93%). The severity of DKA was as follows: 130 (61.6%) had severe and 81 (38.4%) had moderate DKA. Excessive sweet intake without adding insulin in 83 (39.3%) patients and unhealthy lifestyles (35.1%) were the best predictors of severe DKA (p = .001). CONCLUSION: Over a 10-year period, the DKA pattern was persistently rising and slightly falling, which ended up at the significantly highest rate of 14.1% in 2019. URTI, pneumonia, unhealthy lifestyle, and excess sweet intake were significant precipitating factors associated with severe DKA.

Adult-onset autoimmune diabetes

Adult-onset autoimmune (AOA) diabetes pathophysiology starts with immune changes, followed by dysglycaemia and overt disease. AOA diabetes can occur as classic type 1 diabetes when associated with severe loss of insulin secretion. More frequently, it is diagnosed as latent autoimmune diabetes in adults, a slowly progressing form with late onset, a long period not requiring insulin, and it is often misdiagnosed as type 2 diabetes. As its clinical presentation varies remarkably and immune markers often lack specificity, it is challenging to classify each case ad hoc, especially when insulin treatment is not required at diagnosis. Proper care of AOA diabetes aims to prevent complications and to improve quality of life and life expectancy. To achieve these goals, attention should be paid to lifestyle factors, with the aid of pharmacological therapies properly tailored to each individual clinical setting. Given the heterogeneity of the disease, choosing the right therapy for AOA diabetes is challenging. Most of the trials testing disease-modifying therapies for autoimmune diabetes are conducted in people with childhood onset, whereas non-insulin diabetes therapies have mostly been studied in the larger population with type 2 diabetes. More randomized controlled trials of therapeutic agents in AOA diabetes are needed.

Relationships Between Socioeconomic Status, Insurance Coverage for Diabetes Technology and Adverse Health in Patients With Type 1 Diabetes

INTRODUCTION

Insulin pumps and continuous glucose monitors (CGM) have many benefits in the management of type 1 diabetes. Unfortunately disparities in technology access occur in groups with increased risk for adverse effects (eg, low socioeconomic status [SES], public insurance).

RESEARCH DESIGN & METHODS

Using 2015 to 2016 data from 4,895 participants from the T1D Exchange Registry, a structural equation model (SEM) was fit to explore the hypothesized direct and indirect relationships between SES, insurance features, access to diabetes technology, and adverse clinical outcomes (diabetic ketoacidosis, hypoglycemia). SEM was estimated using the maximum likelihood method and standardized path coefficients are presented.

RESULTS

Higher SES and more generous insurance coverage were directly associated with CGM use (β = 1.52, SE = 0.12, P < .0001 and β = 1.21, SE = 0.14, P < .0001, respectively). Though SES displayed a small inverse association with pump use (β = -0.11, SE = 0.04, P = .0097), more generous insurance coverage displayed a stronger direct association with pump use (β = 0.88, SE = 0.10, P < .0001). CGM use and pump use were both directly associated with fewer adverse outcomes (β = -0.23, SE = 0.06, P = .0002 and β = -0.15, SE = 0.04, P = .0002, respectively). Both SES and insurance coverage demonstrated significant indirect effects on adverse outcomes that operated through access to diabetes technology (β = -0.33, SE = 0.09, P = .0002 and β = -0.40, SE = 0.09, P < .0001, respectively).

CONCLUSIONS

The association between SES and insurance coverage and adverse outcomes was primarily mediated through diabetes technology use, suggesting that disparities in diabetes outcomes have the potential to be mitigated by addressing the upstream disparities in technology use.

Trends in Type 1 Diabetic Ketoacidosis During COVID-19 Surges at 7 US Centers: Highest Burden on non-Hispanic Black Patients

CONTEXT

The impact of the COVID-19 pandemic on individuals with type 1 diabetes remains poorly defined.

OBJECTIVE

We examined United States trends in diabetic ketoacidosis (DKA) among individuals with type 1 diabetes (T1D) during the COVID-19 pandemic at 7 large US medical centers and factors associated with these trends.

METHODS

We compared DKA events among children and adults with T1D during COVID-19 surge 1 (March-May 2020) and COVID-19 surge 2 (August-October 2020) to the same periods in 2019. Analysis was performed using descriptive statistics and chi-square tests.

RESULTS

We found no difference in the absolute number of T1D patients experiencing DKA in 2019 vs 2020. However, a higher proportion of non-Hispanic Black (NHB) individuals experienced DKA in 2019 than non-Hispanic White (NHW) individuals (44.6% vs 16.0%; P < .001), and this disparity persisted during the COVID-19 pandemic (48.6% vs 18.6%; P < .001). DKA was less common among patients on continuous glucose monitor (CGM) or insulin pump in 2020 compared to 2019 (CGM: 13.2% vs 15.0%, P < .001; insulin pump: 8.0% vs 10.6%, P < .001). In contrast to annual DKA totals, a higher proportion of patients had DKA during COVID-19 surges 1 and 2 compared to the same months in 2019 (surge 1: 7.1% vs 5.4%, P < .001; surge 2: 6.6% vs 5.7%, P = .001).

CONCLUSION

DKA frequency increased among T1D patients during COVID-19 surges with highest frequency among NHB patients. DKA was less common among patients using CGM or insulin pumps. These findings highlight the urgent need for improved strategies to prevent DKA among patients with T1D-not only under pandemic conditions, but under all conditions-especially among populations most affected by health inequities.

Exercise and Self-Management in Adults with Type 1 Diabetes

PURPOSE OF REVIEW

The purpose of this review paper is to examine the most recent evidence of exercise-related self-management in adults with type 1 diabetes (T1D).

RECENT FINDINGS

This paper reviews the benefits and barriers to exercise, diabetes self-management education, the role of the healthcare provider in assessment and counseling, the use of technology, and concerns for special populations with T1D. Adults with T1D may not exercise at sufficient levels. Assessing current levels of exercise, counseling during a clinical visit, and the use of technology may improve exercise in this population.

Specialized Technology Education for Pumps and Pens in Underserved Populations with Diabetes

Background: Health care disparities in the use of diabetes devices are particularly prevalent, especially given the high levels of health literacy and numeracy needed to understand their use. Methods: To reduce this gap, we created lower literacy, English and Spanish multicultural guides for insulin pen and pump use. Focus groups provided input, nonbranded illustrations were designed, and simplified text was developed. The guides were implemented in our clinic for underresourced individuals in East Los Angeles, California. Subjects given the low literacy guides participated in guide-driven individual and group education, and measures were administered at baseline, 6 and 12 months. Results: Sixty-three adults with type 1 diabetes (T1D) were included, and 43 (68%) completed all 12 months of the study. Initial HbA1c was 9.2 ± 1.97 (standard deviation) with no change over the study course (12-month A1C = 9.3 ± 1.92). However, participants showed significantly reduced psychological distress due to diabetes, increased diabetes knowledge, improved self-report of health, and a trend toward reduced depression. There was also a reduction in rates of diabetic ketoacidosis (DKA). There was no change in rates of hypoglycemia, although there was an increase in fear of hypoglycemia. Conclusions: Appropriately targeted teaching guides can be used to improve various patient-reported outcomes in people with T1D, specifically, overall self-report of health, distress due to diabetes, and diabetes knowledge. Targeted teaching guides also achieved improvements in rates of DKA in T1D. While these results are encouraging, more work is needed to make a significant impact on glycemic control. Clinical Trials registration number: NCT04550585.

Continuous Glucose Monitoring metrics in the Assessment of Glycemia in Moderate-to-Advanced Chronic Kidney Disease (CKD) in Diabetes

Introduction

Glycated hemoglobin A1c (HbA1c) has reduced reliability in advanced chronic kidney disease (CKD) owing to factors influencing red cell turnover. Recent guidelines support the use of continuous glucose monitoring (CGM) in glycemic assessment in these patients. We evaluated relationships between HbA1c and CGM metrics of average glycemia and glucose variability (GV) in moderate-to-advanced CKD.

Methods

There were a total of 90 patients with diabetes in CKD stages G3b (n = 33), G4 (n = 43), and G5 (nondialysis) (n = 14) (age [mean ± SD] 65.4 ± 9.0 years, estimated glomerular filtration rate [eGFR] 26.1 ± 9.6 ml/min per 1.73 m², and HbA1c 7.4 ± 0.8%). CGM metrics were estimated from blinded CGM (Medtronic Ipro2 with Enlite sensor) and compared with HbA1c in the same week.

Results

Correlations between glucose management indicator (GMI) and HbA1c attenuated with advancing CKD (G3b [r = 0.68, P < 0.0001], G4 [r = 0.52, P < 0.001], G5 [r = 0.22, P = 0.44], P = 0.01 for CKD stage). In G3b and G4, HbA1c correlated significantly with time-in-range (TIR) (3.9–10.0 mmol/l) (r = −0.55 and r = −0.54, respectively) and % time > 13.9 mmol/l (r = 0.53 and r = 0.44, respectively), but not in G5. HbA1c showed no correlation with % time <3.0 mmol/l (r = −0.045, P = 0.67) or % coefficient of variation (CV) (r = −0.05, P = 0.64) in any CKD stage. Only eGFR was a significant determinant of bias for the difference between GMI and HbA1c (difference −0.28%, 95% CI [−0.52 to −0.03] per 15 ml/min per 1.73 m² decrement, P = 0.03).

Conclusion

CGM-derived indices might serve as an adjunct to HbA1c monitoring to guide glycemic management, especially in those with eGFR <30 ml/min per 1.73 m². Time in hypoglycemia and glycemic variability are relevant glycemic targets for optimization not reflected by HbA1c.

Real-world Evidence of Efficacy and Safety of SGLT2 Inhibitors as Adjunctive Therapy in Adults With Type 1 Diabetes: A European Two-Center Experience

OBJECTIVE

To evaluate real-world efficacy and safety of sodium-glucose cotransporter 2 inhibitor (SGLT2i) use in combination with insulin in people with type 1 diabetes.

RESEARCH DESIGN AND METHODS

We conducted a retrospective cohort European two-center study. Data on demographics, HbA1c, weight, insulin use, renal function, and adverse events were collected for 199 adults with type 1 diabetes who initiated a SGLT2i adjunct to insulin. Subgroup analyses were performed to identify who benefited most and who was more at risk for adverse events.

RESULTS

Overall, significant reductions in mean HbA1c (-0.5%), weight (-2.9 kg), and daily insulin (-8.5%) were achieved after 12 months. The greatest reduction in HbA1c was obtained in individuals with baseline HbA1c >8% (-0.7% [64 mmol/mol]). The most weight loss was observed in subjects with BMI >27 kg/m2 (-3.5 kg). Individuals with baseline estimated glomerular filtration rate (eGFR) <90 mL/min/1.73 m2 showed an increase in eGFR (4.5 mL/min/1.73 m2), whereas those with urinary albumin-to-creatinine ratio (UACR) >15 mg/g showed a decrease in UACR (-16.6 mg/g). Fifty-seven individuals (28.6%) reported adverse events: 45 with genital infections (22.6%), 5 ketosis episodes (2.5%), and 7 diabetic ketoacidosis (DKA) (3.5%). No severe hypoglycemia events were reported.

CONCLUSIONS

Our real-world data on SGLT2i showed promising results in reductions in HbA1c, weight, and insulin requirements in type 1 diabetes. Benefits were more pronounced in individuals with higher baseline HbA1c and BMI. DKA remained a major concern, despite educational measures. Further real-life evidence is still required for evaluation of SGLT2i longer-term effects and their impact on reno-cardiovascular outcomes.

Hybrid closed-loop glucose control compared with sensor augmented pump therapy in older adults with type 1 diabetes: an open-label multicentre, multinational, randomised, crossover study

Background

Older adults with type 1 diabetes have distinct characteristics that can make optimising glycaemic control challenging. We sought to test our hypothesis that hybrid closed-loop glucose control is safe and more effective than sensor-augmented pump (SAP) therapy in older adults with type 1 diabetes.

Methods

In an open-label, multicentre, multinational (UK and Austria), randomised, crossover study, adults aged 60 years and older with type 1 diabetes using insulin pump therapy underwent two 16-week periods comparing hybrid closed-loop (CamAPS FX, CamDiab, Cambridge, UK) and SAP therapy in random order. Block randomisation by means of central randomisation software to one of two treatment sequences was stratified by centre. The primary endpoint was the proportion of time sensor glucose was in target range between 3·9 and 10·0 mmol/L. Analysis for the primary endpoint and adverse events was by intention-to-treat. The study has completed and is registered at ClinicalTrials.gov NCT04025762.

Findings

38 participants were enrolled. One participant withdrew during run-in because of difficulties with the study pump infusion sets. 37 participants (median [IQR] age 68 [63-70] years, mean [SD] baseline glycated haemoglobin [HbA1c]; 7·4% [0·9%]; 57 [10] mmol/mol) were randomly assigned between Sept 4, 2019, and Oct 2, 2020. The proportion of time with glucose between 3·9 and 10·0 mmol/L was significantly higher in the closed-loop group compared to the SAP group (79·9% [SD 7·9] vs 71·4% [13·2], difference 8·6 percentage points [95% CI 6·3 to 11·0]; p<0·0001). Two severe hypoglycaemia events occurred during the SAP period. There were two non-treatment related serious adverse events: cardiac arrest from pulmonary embolism associated with COVID-19 during the SAP period resulting in death, and a hospital presentation for parenteral hydrocortisone because of COVID-19 in a participant with adrenal insufficiency during the run-in period.

Interpretation

Hybrid closed-loop insulin delivery is safe and achieves superior glycaemic control to SAP therapy in older adults with long duration of type 1 diabetes. Importantly this was achieved without increasing the risk of hypoglycaemia in this population with risk factors for severe hypoglycaemia. This suggests that hybrid closed-loop therapy is a clinically important treatment option for older adults with type 1 diabetes.