Persistent heterogeneity in diabetes technology reimbursement for children with type 1 diabetes: The SWEET perspective

Relative poverty is associated with increased risk of diabetic ketoacidosis at onset of type 1 diabetes in children. A Swedish national population-based study in 2014-2019

AIMS

The aim of the study was to estimate the effect of household relative poverty on the risk of diabetic ketoacidosis at diagnosis of children with type 1 diabetes using an international standard measurement of relative poverty.

METHODS

A national population-based retrospective study was conducted. The Swedish National Diabetes Register (NDR) was linked with data from Sweden's public statistical agency (Statistics Sweden). Children who were diagnosed with new-onset type 1 diabetes in the period of 2014-2019 were common identifiers. The definition of diabetic ketoacidosis was venous pH <7.30 or a serum bicarbonate level <18 mmol/L. The exposure variable was defined according to the standard definition of the persistent at-risk-of-poverty rate used by the statistical office of the European Union (Eurostat) and several other European public statistical agencies. Univariate and multi-variable analyses were used to calculate the effect of relative poverty on the risk of diabetic ketoacidosis.

RESULTS

Children from households with relative poverty had a 41% higher risk of diabetic ketoacidosis (1.41, CI 1.12-1.77, p = 0.004) and more than double the risk of severe diabetic ketoacidosis (pH <7.10) (RR 2.10, CI 1.35-3.25, p = 0.001), as compared to children from households without relative poverty.

CONCLUSIONS

Relative poverty significantly increases the risk of diabetic ketoacidosis at onset of type 1 diabetes in children, even in a high-income country with publicly reimbursed health care.

Improved Glycemic Outcomes With Diabetes Technology Use Independent of Socioeconomic Status in Youth With Type 1 Diabetes

OBJECTIVE

Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use.

RESEARCH DESIGN AND METHODS

A cross-sectional analysis of HbA1c data from 2,822 Australian youth with T1D was undertaken. Residential postcodes were used to assign SES based on the Index of Relative Socio-Economic Disadvantage (IRSD). Linear regression models were used to evaluate associations among IRSD quintile, HbA1c, and management regimen.

RESULTS

Insulin pump therapy, continuous glucose monitoring, and their concurrent use were associated with lower mean HbA1c across all IRSD quintiles (P < 0.001). There was no interaction between technology use and IRSD quintile on HbA1c (P = 0.624), reflecting a similar association of lower HbA1c with technology use across all IRSD quintiles.

CONCLUSIONS

Technology use was associated with lower HbA1c across all socioeconomic backgrounds. Socioeconomic disadvantage does not preclude glycemic benefits of diabetes technologies, highlighting the need to remove barriers to technology access.

Socioeconomic status and diabetes technology use in youth with type 1 diabetes: a comparison of two funding models

Background

Technology use, including continuous glucose monitoring (CGM) and insulin pump therapy, is associated with improved outcomes in youth with type 1 diabetes (T1D). In 2017 CGM was universally funded for youth with T1D in Australia. In contrast, pump access is primarily accessed through private health insurance, self-funding or philanthropy. The study aim was to investigate the use of diabetes technology across different socioeconomic groups in Australian youth with T1D, in the setting of two contrasting funding models.

Methods

A cross-sectional evaluation of 4957 youth with T1D aged <18 years in the national registry was performed to determine technology use. The Index of Relative Socio-Economic Disadvantage (IRSD) derived from Australian census data is an area-based measure of socioeconomic status (SES). Lower quintiles represent greater disadvantage. IRSD based on most recent postcode of residence was used as a marker of SES. A multivariable generalised linear model adjusting for age, diabetes duration, sex, remoteness classification, and location within Australia was used to determine the association between SES and device use.

Results

CGM use was lower in IRSD quintile 1 in comparison to quintiles 2 to 5 (p<0.001) where uptake across the quintiles was similar. A higher percentage of pump use was observed in the least disadvantaged IRSD quintiles. Compared to the most disadvantaged quintile 1, pump use progressively increased by 16% (95% CI: 4% to 31%) in quintile 2, 19% (6% to 33%) in quintile 3, 35% (21% to 50%) in quintile 4 and 51% (36% to 67%) in the least disadvantaged quintile 5.

Conclusion

In this large national dataset, use of diabetes technologies was found to differ across socioeconomic groups. For nationally subsidised CGM, use was similar across socioeconomic groups with the exception of the most disadvantaged quintile, an important finding requiring further investigation into barriers to CGM use within a nationally subsidised model. User pays funding models for pump therapy result in lower use with socioeconomic disadvantage, highlighting inequities in this funding approach. For the full benefits of diabetes technology to be realised, equitable access to pump therapy needs to be a health policy priority.

Outcomes and experiences of families with children with type 1 diabetes on insulin pumps through subsidised pump access programs in Western Australia

Introduction

In Australia, access to insulin pump therapy for children with type 1 diabetes (T1D) is predominantly restricted to families with private health insurance. In an attempt to improve equity, additional subsidised pathways exist which provide pumps to families with reduced financial resources. We aimed to describe the outcomes and experiences of families with children commenced on pumps through these subsidised pathways in Western Australia (WA).

Methods

Children with T1D in WA who did not have private health insurance and received pumps from the subsidised pump programs between January 2016 and December 2020 were included. Study 1 was designed to review glycaemic outcome. A retrospective analysis of HbA1c was conducted in the whole cohort and in children who commenced pump after the first year of diagnosis to exclude the impact of the partial clinical remission phase following diagnosis. HbA1c at baseline, and six, 12, 18 and 24 months after pump initiation were collected. Study 2 was designed to review experiences of families commenced on pumps through subsidised pathway. A questionnaire designed by the clinical team was distributed to parents via an online secure platform to capture their experiences.

Results

Of the 61 children with mean (SD) age 9.0 (4.9) years who commenced pump therapy through subsidised pump programs, 34 children commenced pump therapy after one year of diagnosis of T1D. The median (IQR) HbA1c (%) in 34 children at baseline was 8.3 (1.3), with no statistically significant change from baseline at six months [7.9 (1.4)], 12 months [8.0 (1.5)], 18 months [8.0 (1.3)] or 24 months [8.0 (1.3)]. The questionnaire response rate was 56%. 83% reported intention to continue pump therapy, however 58% of these families did not have avenue to acquire private health insurance. Families expressed inability to procure private health insurance due to low income and unreliable employment and remained largely unsure about the pathway to obtain the next pump.

Discussion

Children with T1D who commenced insulin pump therapy on subsidised pathways maintained glycaemic control for two years, and families favored pumps as a management option. However, financial limitations persist as a significant barrier to procure and continue pump therapy. Pathways for access need to be assessed and advocated.

Healthcare expenditure and technology use in pediatric diabetes care

BACKGROUND

Diabetes mellitus is one of the most common chronic diseases in childhood. With more advanced care options including ever-evolving technology, allocation of resources becomes increasingly important to guarantee equal care for all. Therefore, we investigated healthcare resource utilization, hospital costs, and its determinants in Dutch children with diabetes.

METHODS

We conducted a retrospective, observational analysis with hospital claims data of 5,474 children with diabetes mellitus treated in 64 hospitals across the Netherlands between 2019-2020.

RESULTS

Total hospital costs were €33,002,652 per year, and most of these costs were diabetes-associated (€28,151,381; 85.3%). Mean annual diabetes costs were €5,143 per child, and treatment-related costs determined 61.8%. Diabetes technology significantly increased yearly diabetes costs compared to no technology: insulin pumps € 4,759 (28.7% of children), Real-Time Continuous Glucose Monitoring € 7,259 (2.1% of children), and the combination of these treatment modalities € 9,579 (27.3% of children). Technology use increased treatment costs significantly (5.9 - 15.3 times), but lower all-cause hospitalisation rates were observed. In all age groups, diabetes technology use influenced healthcare consumption, yet in adolescence usage decreased and consumption patterns changed.

CONCLUSIONS

These findings suggest that contemporary hospital costs of children with diabetes of all ages are driven primarily by the treatment of diabetes, with technology use as an important additive factor. The expected rise in technology use in the near future underlines the importance of insight into resource use and cost-effectiveness studies to evaluate if improved outcomes balance out these short-term costs of modern technology.

Comparisons of school-day glycemia in different settings for children with type 1 diabetes using continuous glucose monitoring

Objective

Using continuous glucose monitoring (CGM), we examined patterns in glycemia during school hours for children with type 1 diabetes, exploring differences between school and non-school time.

Methods

We conducted a retrospective analysis of CGM metrics in children 7-12 years (n=217, diabetes duration 3.5±2.5 years, hemoglobin A1c 7.5±0.8%). Metrics were obtained for weekday school hours (8 AM to 3 PM) during four weeks in fall 2019. Two comparison settings included weekend (fall 2019) and weekday (spring 2020) data when children had transitioned to virtual school due to COVID-19. We used multilevel mixed models to examine factors associated with time in range (TIR) and compare glycemia between in-school, weekends, and virtual school.

Results

Though CGM metrics were clinically similar across settings, TIR was statistically higher, and time above range (TAR), mean glucose, and standard deviation (SD) lower, for weekends and virtual school (p<0.001). Hour and setting exhibited a significant interaction for several metrics (p<0.001). TIR in-school improved from a mean of 40.9% at the start of the school day to 58.0% later in school, with a corresponding decrease in TAR. TIR decreased on weekends (60.8 to 50.7%) and virtual school (62.2 to 47.8%) during the same interval. Mean glucose exhibited a similar pattern, though there was little change in SD. Younger age (p=0.006), lower hemoglobin A1c (p<0.001), and insulin pump use (p=0.02) were associated with higher TIR in-school.

Conclusion

Although TIR was higher for weekends and virtual school, glycemic metrics improve while in-school, possibly related to beneficial school day routines.

Diabetes-related antibody-testing is a valuable screening tool for identifying monogenic diabetes - A survey from the worldwide SWEET registry

AIMS

To evaluate access to screening tools for monogenic diabetes in paediatric diabetes centres across the world and its impact on diagnosis and clinical outcomes of children and youth with genetic forms of diabetes.

METHODS

79 centres from the SWEET diabetes registry including 53,207 children with diabetes participated in a survey on accessibility and use of diabetes related antibodies, c-peptide and genetic testing.

RESULTS

73, 63 and 62 participating centres had access to c-peptide, antibody and genetic testing, respectively. Access to antibody testing was associated with higher proportion of patients with rare forms of diabetes identified with monogenic diabetes (54 % versus 17 %, p = 0.01), lower average whole clinic HbA1c (7.7[Q1,Q2: 7.3-8.0]%/61[56-64]mmol/mol versus 9.2[8.6-10.0]%/77[70-86]mmol/mol, p < 0.001) and younger age at onset (8.3 [7.3-8.8] versus 9.7 [8.6-12.7] years p < 0.001). Additional access to c-peptide or genetic testing was not related to differences in age at onset or HbA1c outcome.

CONCLUSIONS

Clinical suspicion and antibody testing are related to identification of different types of diabetes. Implementing access to comprehensive antibody screening may provide important information for selecting individuals for further genetic evaluation. In addition, worse overall clinical outcomes in centers with limited diagnostic capabilities indicate they may also need support for individualized diabetes management.

TRIAL REGISTRATION

NCT04427189.

Technologies for Diabetes Self-Monitoring: A Scoping Review and Assessment Using the REASSURED Criteria

BACKGROUND

Self-management is an important pillar for diabetes control and to achieve it, glucose self-monitoring devices are needed. Currently, there exist several different devices in the market and many others are being developed. However, whether these devices are suitable to be used in resource constrained settings is yet to be evaluated.

AIMS

To assess existing glucose monitoring tools and also those in development against the REASSURED which have been previously used to evaluate diagnostic tools for communicable diseases.

METHODS

We conducted a scoping review by searching PubMed for peer-review articles published in either English, Spanish or Portuguese in the last 5 years. We selected papers including information about devices used for self-monitoring and tested on humans with diabetes; then, the REASSURED criteria were used to assess them.

RESULTS

We found a total of 7 continuous glucose monitoring device groups, 6 non-continuous, and 6 devices in development. Accuracy varied between devices and most of them were either invasive or minimally invasive. Little to no evidence is published around robustness, affordability and delivery to those in need. However, when reviewing publicly available prices, none of the devices would be affordable for people living in low- and middle-income countries.

CONCLUSIONS

Available devices cannot be considered adapted for use in self-monitoring in resource constraints settings. Further studies should aim to develop less-invasive devices that do not require a large set of components. Additionally, we suggest some improvement in the REASSURED criteria such as the inclusion of patient-important outcomes to increase its appropriateness to assess non-communicable diseases devices.

Changes in HbA1c Between 2011 and 2017 in Germany/Austria, Sweden, and the United States: A Lifespan Perspective

Aims: This study assessed hemoglobin A1c (HbA1c) across the lifespan in people with type 1 diabetes (T1D) in Germany/Austria, Sweden, and the United States between 2011 and 2017 to ascertain temporal and age-related trends. Methods: Data from the Diabetes-Patienten-Verlaufsdokumentation (DPV) (n = 25,651 in 2011, n = 29,442 in 2017); Swedish Pediatric Diabetes Quality Registry (SWEDIABKIDS)/National Diabetes Register (NDR), (n = 44,474 in 2011, n = 53,690 in 2017); and T1D Exchange (n = 16,198 in 2011, n = 17,087 in 2017) registries were analyzed by linear regression to compare mean HbA1c overall and by age group. Results: Controlling for age, sex, and T1D duration, HbA1c increased in the United States between 2011 and 2017, decreased in Sweden, and did not change in Germany/Austria. Controlling for sex and T1D duration, mean HbA1c decreased between 2011 and 2017 in all age cohorts in Sweden (P < 0.001). In the United States, HbA1c stayed the same for participants <6 years and 45 to <65 years and increased in all other age groups (P < 0.05). In Germany/Austria, HbA1c stayed the same for participants <6 to <13 years and 18 to <25 years; decreased for participants ages 13 to <18 years (P < 0.01); and increased for participants ≥25 years (P < 0.05). Conclusions: The comparison of international trends in HbA1c makes it possible to identify differences, explore underlying causes, and share quality improvement processes. National quality improvement initiatives are well accepted in Europe but have yet to be implemented systematically in the United States. However, disparities created by the lack of universal access to health care coverage, unequal access to diabetes technologies (e.g., continuous glucose monitoring) regardless of insurance status, and high out-of-pocket cost for the underinsured ultimately limit the potential of quality improvement initiatives.

Association of the use of diabetes technology with HbA1c and BMI-SDS in an international cohort of children and adolescents with type 1 diabetes: The SWEET project experience

OBJECTIVE

To examine the association between the use of diabetes technology (insulin pump [CSII], glucose sensor [CGM] or both) and metabolic control (HbA1c) as well as body adiposity (BMI-SDS) over-time in a cohort of children and adolescents with type 1 diabetes (T1D), that have never used these technologies before.

SUBJECTS AND METHODS

Four thousand six hundred forty three T1D patients (2-18 years, T1D ≥1 year, without celiac disease, no CSII and/or CGM before 2016) participating in the SWEET prospective multicenter diabetes registry, were enrolled. Data were collected at two points (2016; 2019). Metabolic control was assessed by glycated hemoglobin (HbA1c) and body adiposity by BMI-SDS (WHO). Patients were categorized by treatment modality (multiple daily injections [MDI] or CSII) and the use or not of CGM. Linear regression models, adjusted for age, gender, duration of diabetes and region, were applied to assess differences in HbA1c and BMI-SDS among patient groups.

RESULTS

The proportion of patients using MDI with CGM and CSII with CGM significantly increased from 2016 to 2019 (7.2%-25.7%, 7.8%-27.8% respectively; p < 0.001). Linear regression models showed a significantly lower HbA1c in groups that switched from MDI to CSII with or without CGM (p < 0.001), but a higher BMI-SDS (from MDI without CGM to CSII with CGM p < 0.05; from MDI without CGM to CSII without CGM p < 0.01).

CONCLUSIONS

Switching from MDI to CSII is significantly associated with improvement in glycemic control but increased BMI-SDS over-time. Diabetes technology may improve glucose control in youths with T1D although further strategies to prevent excess fat accumulation are needed.

The Evolution of Insulin Administration in Type 1 Diabetes

Insulin has been utilized in the treatment of type 1 diabetes (T1D) for 100 years. While there is still no cure for T1D, insulin administration has undergone a remarkable evolution which has contributed to improvements in quality of life and life expectancy in individuals with T1D. The advent of faster-acting and longer-acting insulins allowed for the implementation of insulin regimens more closely resembling normal insulin physiology. These improvements afforded better glycemic control, which is crucial for limiting microvascular complications and improving T1D outcomes. Suspension of insulin delivery in response to actual and forecasted hypoglycemia has improved quality of life and mitigated hypoglycemia without compromising glycemic control. Advances in continuous glucose monitoring (CGM) and insulin pumps, efforts to model glucose and insulin kinetics, and the application of control theory to T1D have made the automation of insulin delivery a reality. This review will summarize the past, present, and future of insulin administration in T1D.

Diabetes technologies for children and adolescents with type 1 diabetes are highly dependent on coverage and reimbursement: results from a worldwide survey

INTRODUCTION

To study healthcare professionals' (HCP) perceptions on decision making to start insulin pumps and continuous glucose monitoring (CGM) systems in pediatric type 1 diabetes.

RESEARCH DESIGN AND METHODS

An electronic survey supported by the International Society for Pediatric and Adolescent Diabetes (ISPAD) was disseminated through a weblink structured as follows: (1) HCP's sociodemographic and work profile; (2) perceptions about indications and contraindications for insulin pumps and (3) for CGM systems; and (4) decision making on six case scenarios.

RESULTS

247 responses from 49 countries were analyzed. Seventy per cent of respondents were members of ISPAD. Most of participants were women over 40 years old, who practice as pediatric endocrinologists for more than 10 years at university/academic centers and follow more than 500 people with type 1 diabetes. Although insulin pumps and CGMs are widely available and highly recommended among respondents, their uptake is influenced by access to healthcare coverage/insurance. Personal preference and cost of therapy were identified as the main reasons for turning down diabetes technologies. Parental educational level, language comprehension and income were the most relevant socioeconomic factors that would influence HCPs to recommend diabetes technologies, while gender, religious affiliation and race/ethnicity or citizenship were the least relevant.

CONCLUSIONS

Responders seem to be markedly supportive of starting people on diabetes technologies. However, coverage/insurance for devices holds the biggest impact on the extent of their recommendations.

100 Years of Insulin: Lifesaver, immune target, and potential remedy for prevention

In this review, we bring our personal experiences to showcase insulin from its breakthrough discovery as a life-saving drug 100 years ago to its uncovering as the autoantigen and potential cause of type 1 diabetes and eventually as an opportunity to prevent autoimmune diabetes. The work covers the birth of insulin to treat patients, which is now 100 years ago, the development of human insulin, insulin analogues, devices, and the way into automated insulin delivery, the realization that insulin is the primary autoimmune target of type 1 diabetes in children, novel approaches of immunotherapy using insulin for immune tolerance induction, the possible limitations of insulin immunotherapy, and an outlook how modern vaccines could remove the need for another 100 years of insulin therapy.

A Worldwide Perspective on COVID-19 and Diabetes Management in 22,820 Children from the SWEET Project: Diabetic Ketoacidosis Rates Increase and Glycemic Control Is Maintained

Aims: To investigate the short-term effects of the first wave of COVID-19 on clinical parameters in children with type 1 diabetes (T1D) from 82 worldwide centers participating in the Better Control in Pediatric and Adolescent DiabeteS: Working to CrEate CEnTers of Reference (SWEET) registry. Materials and Methods: Aggregated data per person with T1D ≤21 years of age were compared between May/June 2020 (first wave), August/September 2020 (after wave), and the same periods in 2019. Hierarchic linear and logistic regression models were applied. Models were adjusted for gender, age-, and diabetes duration-groups. To distinguish the added burden of the COVID-19 pandemic, the centers were divided into quartiles of first wave COVID-19-associated mortality in their country. Results: In May/June 2019 and 2020, respectively, there were 16,735 versus 12,157 persons, 52% versus 52% male, median age 13.4 (Q1; Q3: 10.1; 16.2) versus13.5 (10.2; 16.2) years, T1D duration 4.5 (2.1; 7.8) versus 4.5 (2.0; 7.8) years, and hemoglobin A1c (HbA1c) 60.7 (53.0; 73.8) versus 59.6 (50.8; 70.5) mmol/mol [7.8 (7.0; 8.9) versus 7.6 (6.8; 8.6) %]. Across all country quartiles of COVID-19 mortality, HbA1c and rate of severe hypoglycemia remained comparable to the year before the first wave, while diabetic ketoacidosis rates increased significantly in the centers from countries with the highest mortality rate, but returned to baseline after the wave. Continuous glucose monitoring use decreased slightly during the first wave (53% vs. 51%) and increased significantly thereafter (55% vs. 63%, P < 0.001). Conclusions: Although glycemic control was maintained, a significant rise in DKA at follow-up was seen during first wave in the quartile of countries with the highest COVID mortality. Trial Registration: NCT04427189.

The SWEET Project 10-Year Benchmarking in 19 Countries Worldwide Is Associated with Improved HbA1c and Increased Use of Diabetes Technology in Youth with Type 1 Diabetes

Objective: The international SWEET registry (NCT04427189) was initiated in 2008 to improve outcomes in pediatric diabetes. A 10-year follow-up allowed studying time trends of key quality indicators in 22 centers from Europe, Australia, Canada, and India in youth with type 1 diabetes (T1D). Methods: Aggregated data per person with T1D <25 years of age were compared between 2008-2010 and 2016-2018. Hierarchic linear and logistic regression models were applied. Models were adjusted for gender, age-, and diabetes duration groups. Results: The first and second time periods included 4930 versus 13,654 persons, 51% versus 52% male, median age 11.3 [Q1; Q3: 7.9; 14.5] versus 13.3 [9.7; 16.4] years, and T1D duration 2.9 [0.8; 6.4] versus 4.2 [1.4; 7.7] years. The adjusted hemoglobin A1C (HbA1c) improved from 68 (95% confidence interval [CI]: 66-70) to 63 (60; 65) mmol/mol (P < 0.0001) or 8.4 (95% CI: 8.2-8.6) to 7.9 (7.6; 8.1) % (P < 0.0001). Across all age groups, HbA1c was significantly lower in pump and sensor users. Severe hypoglycemia declined from 3.8% (2.9; 5.0) to 2.4% (1.9; 3.1) (P < 0.0001), whereas diabetic ketoacidosis events increased significantly with injection therapy only. Body mass index-standard deviation score also showed significant improvements 0.55 (0.46; 0.64) versus 0.42 (0.33; 0.51) (P < 0.0001). Over time, the increase in pump use from 34% to 44% preceded the increase in HbA1c target achievement (<53 mmol/mol) from 21% to 34%. Conclusions: Twice yearly benchmarking within the SWEET registry was associated with significantly improved HbA1c on a background of increasing pump and sensor use for 10 years in young persons with T1D. Trial Registration: NCT04427189.

Pre-school and school-aged children benefit from the switch from a sensor-augmented pump to an AndroidAPS hybrid closed loop: A retrospective analysis

OBJECTIVE

Data on closed loop systems in young children with type 1 diabetes (T1D) are limited. We tested the efficacy and safety of an open-source, do-it-yourself automated insulin delivery system AndroidAPS in preschool and school-aged children.

RESEARCH DESIGN AND METHODS

This retrospective study analyzed diabetes control in 18 preschool (3-7 years) and 18 school-aged children (8-14 years) with T1D who switched from a sensor-augmented pump (SAP) to AndroidAPS. We compared the CGM parameters and HbA1c levels 3 months before and 6 months after the initiation of AndroidAPS therapy and evaluated frequency of severe adverse events during AndroidAPS use, the most frequent reasons for its interruption, and the experience and psychosocial benefits of AndroidAPS use.

RESULTS

General glycemic control was significantly improved after the switch from SAP to AndroidAPS. Time in range (TIR) increased in both preschool (70.8%-78.6%, p = 0.004) and school-aged children (77.2%-82.9%, p < 0.001), whereas HbA1c levels decreased (preschool children 53.8-48.5 mmol/mol, p < 0.001; school-aged children 52.6-45.1 mmol/mol, p = 0.001). Time spent in range of 3.0-3.8 mmol/L increased slightly in school children (2.6%-3.8%, p = 0.040), but not in preschool children (3.0%-3.0%, p = 0.913). Time spent at <3 mmol/L remained unchanged in both preschool (0.95%-0.67%, p = 0.432) and school-aged children (0.8%-0.8%, p = 1.000). No episodes of severe hypoglycemia or DKA and significant improvement of quality of life were reported by AndroidAPS users.

CONCLUSIONS

AndroidAPS seems effective for T1D control both in preschool and school-age children but further validation by prospective studies is necessary.

Advances, Challenges, and Cost Associated with Continuous Glucose Monitor Use in Adolescents and Young Adults with Type 1 Diabetes

PURPOSE OF REVIEW

Continuous glucose monitors (CGM) are transforming diabetes management, yet adolescents and young adults (AYA) with type 1 diabetes (T1D) do not experience the same benefits seen with CGM use in adults. The purpose of this review is to explore advances, challenges, and the financial impact of CGM use in AYA with T1D.

RECENT FINDINGS

CGM studies in young adults highlight challenges and suggest unique barriers to CGM use in this population. Recent studies also demonstrate differences in CGM use related to race and ethnicity, raising questions about potential bias and emphasizing the importance of patient-provider communication. Cost of these devices remains a significant barrier, especially in countries without nationalized reimbursement of CGM. More research is needed to understand and address the differences in CGM utilization and to increase the accessibility of CGM therapy given the significant potential benefits of CGM in this high-risk group.

Glycemic Outcome Associated With Insulin Pump and Glucose Sensor Use in Children and Adolescents With Type 1 Diabetes. Data From the International Pediatric Registry SWEET

OBJECTIVE

Insulin delivery methods, glucose-monitoring modalities, and related outcomes were examined in a large, international, diverse cohort of children and adolescents with type 1 diabetes from the Better Control in Pediatric and Adolescent Diabetes: Working to Create Centers of Reference (SWEET) -Registry.

RESEARCH DESIGN AND METHODS

Participants with type 1 diabetes of ≥1 year, aged ≤18 years, and who had documented pump or sensor usage during the period August 2017-July 2019 were stratified into four categories: injections-no sensor (referent); injections + sensor; pump-no sensor; and pump + sensor. HbA_1c and proportion of patients with diabetic ketoacidosis (DKA) or severe hypoglycemia (SH) were analyzed; linear and logistic regression models adjusted for demographics, region, and gross domestic product per capita were applied.

RESULTS

Data of 25,654 participants were analyzed. The proportions of participants (adjusted HbA_1c data) by study group were as follows: injections-no sensor group, 37.44% (8.72; 95% CI 8.68-8.75); injections + sensor group, 14.98% (8.30; 95% CI 8.25-8.35); pump-no sensor group, 17.22% (8.07; 95% CI 8.03-8.12); and pump + sensor group, 30.35% (7.81; 95% CI 7.77-7.84). HbA_1c was lower in all categories of participants who used a pump and/or sensor compared with the injections-no sensor treatment method (P < 0.001). The proportion of DKA episodes was lower in participants in the pump + sensor (1.98%; 95% CI 1.64-2.48; P < 0.001) and the pump-no sensor (2.02%; 95% CI 1.64-2.48; P < 0.05) groups when compared with those in the injections-no sensor group (2.91%; 95% CI 2.59-3.31). The proportion of participants experiencing SH was lower in pump-no sensor group (1.10%; 95% CI 0.85-1.43; P < 0.001) but higher in the injections + sensor group (4.25%; 95% CI 3.65-4.95; P < 0.001) compared with the injections-no sensor group (2.35%; 95% CI 2.04-2.71).

CONCLUSIONS

Lower HbA_1c and fewer DKA episodes were observed in participants using either a pump or continuous glucose monitoring (CGM) or both. Pump use was associated with a lower rate of SH. Across SWEET centers, use of pumps and CGM is increasing. The concomitant use of pump and CGM was associated with an additive benefit.

Use of continuous glucose monitoring and its association with type 1 diabetes control in children over the first 3 years of reimbursement approval: Population data from the ČENDA registry

OBJECTIVE

Increased access to modern technologies is not always accompanied by a decrease in HbA1c. The aim of this study was to identify changes in the proportion of continuous glucose monitoring (CGM) users since 2017, when general reimbursement for CGM became effective in Czechia, and to test whether HbA1c is associated with the percentage of time spent on CGM.

RESEARCH DESIGN AND METHODS

All T1D children in the Czech national ČENDA registry (3197 children) were categorized according to their time spent on CGM and associations with age, sex, center size, and HbA1c were tested with calendar year as a stratification factor.

RESULTS

The proportion of children with any CGM use increased from 37.9% in 2017 to 50.3% in 2018 and 74.8% in 2019. Of the CGM users, 16%, 28%, and 41% of the children spent >70% of their time on CGM over the 3 years of the study period, with an overrepresentation of children in the <10 years age group versus the older age groups (p < 0.001). The proportion of CGM users differed among centers and was positively associated with a large center size (>100 patients) (p < 0.001). HbA1c was negatively associated with the time spent on CGM (p < 0.001).

CONCLUSIONS

A rapid increase in CGM use was reported over the 3 years after general reimbursement. HbA1c was associated with time spent on CGM, a continuing decrease was observed in the >70% category. Reimbursement for CGM likely contributes to the improvement of T1D control at the population level.

The diabetes quality of life brief clinical inventory in combination with the management strategies in type 1 diabetes mellitus with or without the use of insulin pump

Aims

The aims of this study are to evaluate any differences in the Quality of life among Continuous Subcutaneous Insulin Infusion (CSII) and Multiple Dose Injection (MDI) insulin delivery, applying the Diabetes Quality of life Brief Clinical Inventory (DQoL-BCI) questionnaire, and assess the diabetes management strategies between the two groups.

Methods

One hundred and ten adult participants (male/female ratio 1:2.7) with type 1 diabetes were recruited in this online survey. Forty-eight of them were using CSII and the rest 62 (were using) MDI insulin delivery. A 23-item socio-demographic/diabetes management strategies questionnaire and the 15-item DQoL-BCI were administered.

Results

CSII users scored statistically, significantly better at the satisfaction treatment subscale (p = 0.032) of the DQoL-BCI and emerged that they were implemented more management strategies such as dietician guidance services (p = 0.002), carbohydrate education seminars (p = 0.03). Predictive factors were also detected regarding the HbA_1c < 7% (53 mmol/mol) and β-coefficients in relation to DQoL-BCI questionnaire with the subscales of a negative impact and satisfaction treatment.

Conclusion

Diabetes self-management education plays a key role to a better compliance with the treatment. Client-centered multidisciplinary centers in T1DM education are essential so that they be applicable for all T1DM patients irrespective of the type of insulin delivery they used.

Time In Range in Children with Type 1 Diabetes Using Treatment Strategies Based on Nonautomated Insulin Delivery Systems in the Real World

Background: Glucose sensors consist of real-time continuous glucose monitoring (rtCGM) and intermittently scanned CGM (isCGM). Their clinical use has been widely increasing during the past 5 years. The aim of this study is to evaluate percentage of time in range (TIR) in a large group of children with type 1 diabetes (T1D) using glucose sensors with nonautomated insulin delivery systems, in a real-world setting. Methods: An 11-center cross-sectional study was conducted during January-May 2019. Children with T1D <18 years, all using rtCGM or isCGM for >1 year, treated with multiple daily injections (MDI) or nonautomated insulin pump (IP), were recruited consecutively. Clinical data, HbA1c measurement, and CGM downloaded data were collected by each center and included in a centralized database for the analysis. Glucose metrics of four treatment strategies were analyzed: isCGM-MDI, rtCGM-MDI, isCGM-IP, and rtCGM-IP. Results: Data from 666 children with T1D (51% male and 49% female), median age 12 years, diabetes duration 5 years, were analyzed. An rtCGM was used by 51% of the participants, and a nonautomated IP by 46%. For isCGM-MDI, rtCGM-MDI, isCGM-IP, and rtCGM-IP, the median TIR 70-180 mg/dL values were 49%, 56%, 56%, and 61% (P < 0.001), respectively; HbA1c 7.6%, 7.5%, 7.3%, and 7.3% (P < 0.001), respectively. Use of rtCGM was associated with significant lower time below target range <70 mg/dL and reduced the percentage coefficient of variation of glucose (%CV), independently by the insulin delivery system used. Conclusions: Among nonautomated insulin delivery strategies, simultaneous use of rtCGM and IP was associated with higher percentage of TIR, lower time above range >180 mg/dL and lower HbA1c. If there are no barriers, an upgrade of the treatment strategy with a higher performing technology should be offered to all children who do not achieve blood glucose metrics within the suggested range.

Determinants of glycaemic outcome in the current practice of care for young people up to 21 years old with type 1 diabetes under real-life conditions

AIM

To determine factors influencing the success of treatment for type 1 diabetes, defined as HbA_1c < 58 mmol/mol (<7.5%), in a large paediatric cohort under real-life conditions.

METHODS

This is a monocentric observational study analysing the determinants of glycaemic outcome (sex, age, comorbidities, sociodemographic factors, diabetes technology) in an entire cohort of people with diabetes aged up to 21 years. Glycaemic outcome was defined as an individual's median HbA_1c and the prevalence of acute complications over this period.

RESULTS

Of 700 young people with type 1 diabetes [age 13.6 years (range: 1.4-20.9 years); diabetes duration 5.8 years (range: 0.1-18.3 years)], 63% were using an insulin pump and 32% any type of continuous glucose monitoring. Mean HbA_1c was 61 mmol/mol [95% confidence interval (CI) 60-62; 7.7%, 95% CI 7.5-7.8]. Some 63% of children aged < 12 years reached HbA_1c (58 mmol/mol (<7.5%) compared with 43% of older participants. The prevalence of severe hypoglycaemia was 2.41 events and that of diabetic ketoacidosis 1.4 events per 100 person-years. Neither type of insulin therapy nor use of continuous glucose monitoring, sex or comorbidity with coeliac disease or thyroiditis was significantly associated with glycaemic outcome. However, age, diabetes duration, having a father not born in Germany, psychiatric comorbidities and family structure were associated with HbA_1c .

CONCLUSIONS

Current technologies and a multidisciplinary team approach allow high numbers of children and adolescents to realize tight glycaemic control with a low prevalence of acute complications. However, age-related challenges, sociodemographic factors and psychological comorbidities are barriers to achieving best possible glycaemic outcome.

Five years of improving diabetes control in Czech children after the establishment of the population-based childhood diabetes register ČENDA

OBJECTIVES

The Czech National Childhood Diabetes Register (ČENDA) is a web-based nationwide database that collects treatment and outcome data in children and adolescents with diabetes. Here, we present data from the first 5 years of ČENDA (2013-2017).

METHODS

Data include characteristics of disease onset and annual summaries of key clinical care parameters from every patient treated by participating pediatric diabetes outpatient clinics.

RESULTS

The database contains data of 4361 children (aged 0-19 years) from 52 centers (85% of all Czech pediatric patients). Of these, 94% had type 1 diabetes (T1D), 4.5% had genetically proven monogenic or secondary, and 1.5% had type 2 diabetes. In children with T1D, median glycated hemoglobin (HbA1c) decreased throughout the observed period from 66.3 to 61.0 mmol/mol (P < .0001, 95% confidence interval [CI] for change -5.6 to -4 mmol/mol). Consequently, the proportion of children reaching the target therapeutic goal of 58.5 mmol/mol increased from 28% in 2013 to 40% in 2017. The proportion of children treated with insulin pumps (CSII) remained stable over the observed period (25%). In a subanalysis of 1602 patients (long-standing T1D diagnosed before 2011), the main predictors associated with lower HbA1c were treatment with CSII, male sex and care provided at a large diabetes center (>100 patients).

CONCLUSIONS

A significant continuous decrease in HbA1c was observed in Czech children over the past 5 years. As this improvement was not accompanied by appreciable changes in the mode of therapy, we assume that the establishment of our nationwide register has itself constituted a stimulus towards improvement in the care process.