International benchmarking in type 1 diabetes: Large difference in childhood HbA1c between eight high-income countries but similar rise during adolescence-A quality registry study

Using Time in Tight Glucose Range as a Health-Promoting Strategy in Preschoolers With Type 1 Diabetes

Children who develop diabetes in their first years of life risk being exposed to many decades of hyperglycemia, hence having a high risk of early complications and premature death. An additional age-dependent risk is that dysglycemia, especially hyperglycemia, negatively affects the developing brain. In evaluating the outcome of insulin treatment at an individual and group level, cutoff thresholds for glucose values are needed. Time in tight range (TITR) was defined as a measurement of time spent in a state of normoglycemia. The International Society of Pediatric and Adolescent Diabetes recommended that for preschoolers with type 1 diabetes (T1D), either >70% of time with glucose in range 70-180 mg/dL (3.9-10 mmol/L) or >50% of time in a tighter range 70-140 mg/dL (TITR) can be used as continuous glucose monitoring targets. In Sweden, over the past two decades, pediatric diabetes teams set glycemic targets to 70-140 mg/dL (3.9-7.8 mmol/L). Swedish registry data show that >50% of children <7 years old have >50% TITR. The purpose of this review is to share and discuss international knowledge and experiences of working with TITR as a health-promoting strategy in preschoolers with T1D on a structural and individual level. We conclude that as insulin treatment improves, a reasonable goal is to strive for as much time in a state of normoglycemia as possible, and this can easily be explained to families of children with diabetes. For children with access to an experienced health care team and diabetes technologies a currently realistic target can be at least half of the time in normoglycemic range, i.e., TITR >50%.

Relationship between parent-adolescent communication and parent involvement in adolescent Type 1 diabetes management, parent/family wellbeing and glycaemic control

OBJECTIVES

This study investigated the relationship between parent-reported degree of openness and extent of problems in parent-adolescent communication and parent involvement in adolescent Type 1 diabetes management, parent and family wellbeing and adolescent glycaemic control.

METHODS

A cross-sectional quantitative survey was conducted. Parents completed measures of parent-adolescent communication, parent monitoring of diabetes care, diabetes family responsibility, parent knowledge of diabetes care, parent activation, parent diabetes distress, and diabetes family conflict.

RESULTS

In total, 146 parents/guardians (121 mothers, mean age 46.56 years, SD 5.18) of adolescents aged 11-17 years (mean age 13.9 years, SD 1.81) with Type 1 diabetes completed the survey. Open parent-adolescent communication was significantly correlated to adolescents' voluntarily disclosing diabetes-specific information to their parents more frequently, increased parental knowledge of their adolescent's diabetes care completion, parents feeling more capable and willing to take action in relation to their adolescent's diabetes health, lower levels of diabetes-related parental distress, less diabetes-specific family conflict, and optimal glycaemic control.

DISCUSSION

Parent-adolescent communication has an important role to play in Type 1 diabetes healthcare management and psychosocial wellbeing during adolescence. Optimising open parent-adolescent communication represents a potentially useful target for interventional research and should be considered by healthcare professionals during healthcare encounters.

First year national Swedish paediatric Hba1c data are at the level of several intervention studies: Results from a Swedish nationwide diabetes register study

AIMS/HYPOTHESIS

To study the progression of HbA1c after diagnosis of type 1 diabetes in children and adolescents during 2010-2019 with emphasis on HbA1c nadir 3-6 months after onset.

METHODS

Partial funding was secured for this study. The Swedish paediatric diabetes quality register SWEDIABKIDS has >95 % coverage of type 1 diabetes up to 18 years. A mixed model for repeated measurements was used to estimate differences in HbA1c between onset year periods.

RESULTS

We followed 6,891 patients over two years from onset (48,292 HbA1c values). We found a gradual decrease in mean HbA1c 24 months after onset from 56.0 mmol/mol (7.28 %) in 2010/11 to 50.5 mmol/mol (6.77 %) in 2018/19, which is at the level of several recent intervention studies. The initial drop in HbA1c from onset until 3 and 6 months has become more pronounced in recent years. There was a significant positive correlation between HbA1c at 3 and 6 months with 12, 18 and 24 months. Percentage of severe hypoglycaemic coma was higher (5.1 % vs 3.4 %; p = 0.023) in 2010/2011 than 2018/2019, but the absolute risk of ketoacidosis was essentially unchanged, (1.5 % to 0.8 %, p = 0.110) CONCLUSIONS/INTERPRETATION: There was a continuous decrease in HbA1c over the study period 2010-2019, which coincides in time with an increased use of diabetes technology and lowering the HbA1c target to 48 mmol/mol (6.5 %). The decrease in 2-year HbA1c was preceded by a lower HbA1c nadir, which may set the trajectories for coming HbA1c and be a modifiable factor for a long-term improvement in metabolic control.

Ten Years of Improving Glycemic Control in Pediatric Diabetes Care: Data From the Norwegian Childhood Diabetes Registry

OBJECTIVE

To evaluate, from 2013 to 2022, how HbA1c, the incidence of acute complications, and use of diabetes technology changed at the national level in Norway and how glycemic control was associated with use of diabetes technology, carbohydrate counting, or participation in a quality improvement project.

RESEARCH DESIGN AND METHODS

This longitudinal observational study was based on 27,214 annual registrations of 6,775 children from the Norwegian Childhood Diabetes Registry from 2013 to 2022. Individuals aged >18 years, those with diabetes other than type 1, and those without HbA1c measurements were excluded. The outcome measure was HbA1c. The predictor variables in the adjusted linear mixed-effects model were 1) the use of diabetes technology, 2) the use of carbohydrate counting for meal bolusing, and 3) whether the patient's diabetes team participated in a quality improvement project.

RESULTS

Mean HbA1c decreased from 8.2% (2013) to 7.2% (2021), and the proportion of youth reaching an HbA1c <7.0% increased from 13% (2013) to 43% (2022). Insulin pump use increased from 65% (2013) to 91% (2022). Continuous glucose monitoring (CGM) use increased from 34% (first recorded in 2016) to 97% (2022). Insulin pump, CGM, and carbohydrate counting were associated with lower HbA1c and higher achievement of glycemic targets. Girls had a higher mean HbA1c than boys. Mean HbA1c levels were lower in clinics that participated in a quality improvement project for the following 4 years after the project.

CONCLUSIONS

Diabetes technology, carbohydrate counting, and systematic quality improvement in pediatric departments led to improved glycemic control.

Early increase in HbA1c trajectory predicts development of severe microangiopathy in patients with type 1 diabetes: the VISS study

INTRODUCTION

To study the HbA1c trajectory from the time of diagnosis to examine if patients at the greatest risk for severe microangiopathy can be identified early allowing clinicians to intervene as soon as possible to avoid complications.

RESEARCH DESIGN AND METHODS

In a population-based observational study, 447 patients diagnosed with type 1 diabetes before 35 years of age, 1983-1987, were followed from diagnosis until 2019. Mean HbA1c was calculated each year for each patient. Severe diabetic microangiopathy was defined as proliferative diabetic retinopathy (PDR) or macroalbuminuria (nephropathy).

RESULTS

After 32 years, 27% had developed PDR and 8% macroalbuminuria. Patients with weighted HbA1c (wHbA1c); <57 mmol/mol; <7.4% did not develop PDR or macroalbuminuria. The HbA1c trajectories for patients developing PDR and macroalbuminuria follow separate courses early on and stay separated for 32 years during the follow-up. Patients without severe complications show an initial dip, after which HbA1c slowly increases. HbA1c in patients with severe complications directly rises to a high level within a few years. Mean HbA1c calculated for the period 5-8 years after diabetes onset strongly predicts the development of severe complications. Females with childhood-onset diabetes exhibit a high peak in HbA1c during adolescence associated with higher wHbA1c and higher prevalence of PDR.

CONCLUSIONS

The HbA1c trajectory from diabetes onset shows that mean HbA1c for the period 5-8 years after diagnosis strongly predicts severe microangiopathy. Females with childhood-onset diabetes exhibit a high peak in HbA1c during adolescence associated with higher wHbA1c and a higher prevalence of PDR.

Prevalence, Safety, and Metabolic Control Among Danish Children and Adolescents with Type 1 Diabetes Using Open-Source Automated Insulin Delivery Systems

Background: Treatment of type 1 diabetes mellitus (T1DM) has become increasingly technical with rapid developments in integration of pumps and sensors to regulate insulin dosage, and patient-initiated solutions as open-source automated insulin delivery (OS-AID) systems, have gained popularity in people with diabetes. Studies have shown increased glycemic control and mental wellbeing in users of OS-AID systems. The aim of this study was to estimate the prevalence, the effect on metabolic control, the risk, and the effect on everyday life for users and their parents of OS-AID systems in Danish children and adolescents with T1DM. Methods: This retrospective cohort study recruited participants through pediatric diabetes outpatient clinics and social media. Surveys were distributed and current and retrospective data on glycemic control (HbA1c, time in range [TIR] etc.) were collected. Results: Fifty-six users of OS-AID systems out of 2950 Danish children and adolescents with T1DM were identified from all outpatient clinics in Denmark. Thirty-one responded on contact and were included (55% of the identified), median age 12 [interquartile range: 11-14] years, 51% females, and mean duration of use of OS-AID systems 2.37 ± 0.86 years. Glycemic control increased significantly with TIR increasing from mean 62.29% ± 13.68% to 70.12% ± 10.08%, *P < 0.01, and HbA1c decreasing from mean 50.13 ± 5.76 mmol/mol (6.7% ± 2.7%) to 47.86 ± 6.24 mmol/mol (6.5% ± 2.7%), **P < 0.05. No changes were found in safety parameters. Parents reported better quality of sleep evaluated by Pittsburgh Sleep Quality Index. Conclusion: This study is the first to provide knowledge on pediatric users of OS-AID systems in Denmark and found a prevalence of 1.89% for OS-AID systems, improved TIR, and no increased risk associated with use of OS-AID systems.

Demographic, Clinical, Management, and Outcome Characteristics of 8,004 Young Children With Type 1 Diabetes

OBJECTIVE

To compare demographic, clinical, and therapeutic characteristics of children with type 1 diabetes age <6 years across three international registries: Diabetes Prospective Follow-Up Registry (DPV; Europe), T1D Exchange Quality Improvement Network (T1DX-QI; U.S.), and Australasian Diabetes Data Network (ADDN; Australasia).

RESEARCH DESIGN AND METHODS

An analysis was conducted comparing 2019-2021 prospective registry data from 8,004 children.

RESULTS

Mean ± SD ages at diabetes diagnosis were 3.2 ± 1.4 (DPV and ADDN) and 3.7 ± 1.8 years (T1DX-QI). Mean ± SD diabetes durations were 1.4 ± 1.3 (DPV), 1.4 ± 1.6 (T1DX-QI), and 1.5 ± 1.3 years (ADDN). BMI z scores were in the overweight range in 36.2% (DPV), 41.8% (T1DX-QI), and 50.0% (ADDN) of participants. Mean ± SD HbA1c varied among registries: DPV 7.3 ± 0.9% (56 ± 10 mmol/mol), T1DX-QI 8.0 ± 1.4% (64 ± 16 mmol/mol), and ADDN 7.7 ± 1.2% (61 ± 13 mmol/mol). Overall, 37.5% of children achieved the target HbA1c of <7.0% (53 mmol/mol): 43.6% in DPV, 25.5% in T1DX-QI, and 27.5% in ADDN. Use of diabetes technologies such as insulin pump (DPV 86.6%, T1DX 46.6%, and ADDN 39.2%) and continuous glucose monitoring (CGM; DPV 85.1%, T1DX-QI 57.6%, and ADDN 70.5%) varied among registries. Use of hybrid closed-loop (HCL) systems was uncommon (from 0.5% [ADDN] to 6.9% [DPV]).

CONCLUSIONS

Across three major registries, more than half of children age <6 years did not achieve the target HbA1c of <7.0% (53 mmol/mol). CGM was used by most participants, whereas insulin pump use varied across registries, and HCL system use was rare. The differences seen in glycemia and use of diabetes technologies among registries require further investigation to determine potential contributing factors and areas to target to improve the care of this vulnerable group.

Impact of a Mediterranean diet, physical activity, body composition, and insulin delivery methods on metabolic control in children with type 1 diabetes

Aims

To evaluate the synergistic impact of diet, lifestyle and technology on glycemic control in children with type 1 diabetes (T1D).

Methods

This cross-sectional study included 112 randomly selected patients with T1D from Gran Canaria (median age 12 years; 51.8% female). The study collected data on height, weight, body composition (bioimpedance), age, disease duration, and method of insulin delivery. Physical activity was evaluated using the Krece questionnaire and an accelerometer (GENEActiv). Adherence to the Mediterranean diet was assessed using the KIDMED Quick Nutrition Test. Glycemic control was evaluated using HbA1c and the percentage of time in range. SPSS version 21 and RStudio were used for statistical analysis of the data. Stepwise linear regression analysis (backwards) was used to identify factors independently associated with metabolic control.

Results

Insulin pump use, age and adherence to the Mediterranean diet were found to be significantly and independently associated with better glycemic control, whereas years with T1D was associated with worse HbA1c values. No relationship was found between body composition and physical activity measured by accelerometry or questionnaire.

Conclusion

Adherence to the Mediterranean diet, insulin delivery methods, age, and number of years with T1D are important factors to consider in the management of T1D in children.

Lack of consideration of socioeconomic factors in transition programme of adolescents with type 1 diabetes: A systematic review

The transition of adolescents with type 1 diabetes should be organized such that loss of follow-up and deterioration of patients' metabolic control are minimized.

OBJECTIVE

Our study aimed to ascertain whether socioeconomic status is featured in the characteristics of adolescents with type 1 diabetes in transition programmes and their inclusion in transition programmes.

RESEARCH DESIGN AND METHODS

A systematic review of the literature was performed according to PRISMA recommendations. All articles published between 2010 and 2023 were considered. Studies that described a transition programme for adolescents or young adults with T1DM were included.

RESULTS

After screening, 18 studies were included. Different transition programmes were proposed (exchanges between professionals, coordinators, and transition clinics). Nine articles described socio-economic factors. The educational level was the most frequently reported. Only three studies evaluated the impact of one parameter on transition success: a lower education level was associated with more hospital visits for hyperglycaemia, and the other did not report any socioeconomic factor associated with clinic attendance.

CONCLUSIONS

The socioeconomic status of type 1 diabetes is poorly described in transition programmes, and the few that do make mention of it, offer little information about patient management.

Mediterranean diet adherence and glycemic control in children and adolescents with type 1 diabetes

To effectively manage type 1 diabetes (T1D) insulin is essential, with dosages based on lifestyle. The Mediterranean diet has demonstrated its advantages in preventing and enhancing the management of chronic diseases. Our objective was to investigate the potential mediation of sensor activity on the relationship between adherence to the Mediterranean diet and glycemic control in children and adolescents. A total of 150 children and adolescents (mean age = 13.09, SD = 3.54; 44% female) with T1D were recruited. Adherence to the Mediterranean diet was assessed using the KIDMED questionnaire which evaluates 16 items and gives higher scores when adherence is higher. Glycemic control and the duration of sensor activity were evaluated with data from flash glucose monitoring. The data confirmed our hypothesis by revealing that adherence to the Mediterranean diet positively influenced glycemic control (direct effect = 1.505; P < 0.01) and that this relationship was mediated by the duration of sensor activity (indirect effect = 0.531; P < 0.01).  Conclusions: Our results support the increased utilization of glycemic control devices, as they contribute to improve glycemic control and mediate on the positive relationship between adherence to the Mediterranean diet and adequate glycemic control. Furthermore, our findings highlight the importance of incorporating Mediterranean diet recommendations to achieve better glycemic control in children and adolescents with T1D. What is Known: • The Mediterranean diet and glycemic control have proven benefits in improving cardiovascular health in the general population. Scarce evidence exists of these benefits among children and adolescents with T1D. What is New: • Adherence to the Mediterranean diet and greater use of glucose monitoring devices in children and adolescents with T1D are related to better glycemic control. These variables can be enhanced by psychoeducational interventions such as structured diabetes education programs or peer group-based sessions, which highlights the importance of focusing on these aspects.

Expected Basal Insulin Requirement During Continuous Subcutaneous Insulin Infusion Therapy by Age Group, Sex, and Body Mass Index, Based on 25,718 Young People with Type 1 Diabetes in the DPV Registry

Background: Since the introduction of insulin pumps into the therapy of pediatric subjects, different approaches have been taken to find optimal basal rates. Previously, the DPV registry provided circadian basal rate patterns for different age groups. As the number of pump users has increased recently and short-acting insulin analogues are now predominant, we performed a new analysis with a larger data pool. Methods: We included all recent basal profiles from type 1 diabetes (T1D) patients between 1 and 25 years from the DPV 2021 data pool. We excluded night-time-only pump users, human regular insulin users, and daily basal rates <0.05 and >1.0 U/(kgBW·d). Results: In the analysis of profiles from 25,718 young persons with T1D, differences in the daily pattern of basal rates were found between age groups. In addition, we saw significant (P < 0.001) differences in total daily basal dose between genders in all age groups except adults. In addition, the shape of the expected basal-rate pattern differed by body mass index, HbA1c, and use of continuous glucose monitoring. Discussion: This analysis demonstrates multiple factors influencing basal patterns and insulin requirement, including age group, gender, overweight, HbA1c, bolus frequency, and sensor use. As circadian basal rates are still mandatory for initiating insulin pump therapy with or without automation, a multimodal approach is necessary to estimate optimal basal rates.

The impact of fear of hypoglycaemia on sleep in adolescents with type 1 diabetes

AIMS

Fear of hypoglycaemia (FOH) can contribute to impaired sleep for adults with type 1 diabetes (T1D) and parents of children with T1D, although it is unknown how FOH may affect sleep for adolescents with T1D. This study examines the relationship between adolescent FOH and sleep and assessed the influences of continuous glucose monitor (CGM) and insulin pump use.

METHODS

Adolescents ages 14-18 years with T1D completed questionnaires evaluating FOH (Child Hypoglycemia Fear Survey) and sleep (Pittsburgh Sleep Quality Index, PSQI). Analyses included linear and logistic regression, t-tests and Fisher's exact tests.

RESULTS

Participants included 95 adolescents (52 female) with a median (IQR) age of 16.5 (15.3-17.7) years and a T1D duration of 5.7 (2.5-9.6) years. Analyses showed increased FOH-Worry subscale scores were associated with reduced sleep duration (β = -0.03, p = 0.042, adjusting for BMI z-score, race and ethnicity) and increased sleep disturbances (OR = 1.1, p = 0.038, adjusting for race and ethnicity). Frequent CGM users had longer sleep duration (average 7.5 h) compared with infrequent or non-CGM users (average = 6.8 h; p = 0.029), and pump users had overall improved sleep health as determined by PSQI score (p = 0.019). Technology use did not have significant interactions in the relationships between FOH and sleep duration or sleep disturbances.

CONCLUSIONS

Worrying about hypoglycaemia was associated with impaired sleep for adolescents with T1D. Diabetes technology users have some sleep improvements, but CGM and pump use do little to alter the relationship between FOH and sleep outcomes.

Hybrid Closed Loop Overcomes the Impact of Missed or Suboptimal Meal Boluses on Glucose Control in Children with Type 1 Diabetes Compared to Sensor-Augmented Pump Therapy

Background: It is unclear whether hybrid closed-loop (HCL) therapy attenuates the metabolic impact of missed or suboptimal meal insulin bolus compared with sensor-augmented pump (SAP) therapy in children with type 1 diabetes in free-living conditions. Methods: This is an ancillary study from a multicenter randomized controlled trial that compared 24/7 HCL with evening and night (E/N) HCL for 36 weeks in children between 6 and 12 years old. In the present study, the 60 children from the E/N arm underwent a SAP phase, an E/N HCL for 18 weeks, then a 24/7 phase for 18 weeks, extended for 36 more weeks. The last 28-30 days of each of the four phases were analyzed according to meal bolus management (cumulated 6817 days). The primary endpoint was the percentage of time that the sensor glucose was in the target range (TIR, 70-180 mg/dL) according to the number of missed boluses per day. Findings: TIR was 54% ± 10% with SAP, 63% ± 7% with E/N HCL, and steadily 67% ± 7% with 24/7 HCL. From the SAP phase to 72 weeks of HCL, the percentage of days with at least one missed meal bolus increased from 12% to 22%. Estimated marginal (EM) mean TIR when no bolus was missed was 54% (95% confidence intervals [CI] 53-56) in SAP and it was 13% higher (95% CI 11-15) in the 24/7 HCL phase. EM mean TIR with 1 and ≥2 missed boluses/day was 49.5% (95% CI 46-52) and 45% (95% CI 39-51) in SAP, and it was 15% (95% CI 14-16) and 17% higher (95% CI 6-28), respectively, in the 24/7 HCL phase (P < 0.05 for all comparisons vs. SAP). Interpretation: HCL persistently improves glycemic control compared with SAP, even in case of meal bolus omission. ClinicalTrials.gov (NCT03739099).

Type 1 diabetes mellitus - Population characterization and metabolic control outcomes in a Portuguese patient sample

AIMS

To characterize a cohort of T1D patients and to compare diabetes control between patients using different regimen of insulin therapy and glucose monitoring.

METHODS

Were included all T1D patients followed at the Pediatric Endocrinology Unit, between April 1st and June 30th, 2021. Several clinical and demographic variables were analyzed.

RESULTS

Our sample included 208 patients, 56.7 % males, mean age of 12.7 ± 4.6 years. The median HbA1c was 7.3 %. Most patients, 78.8% were treated with continuous subcutaneous insulin infusion (CSII) and 81.3 % used continuous glucose monitoring (CGM). CSII had a lower HbAc compared with multiple daily injections (MDI) users (7.1vs 8.1 %, p < 0.01). In the CSII group, those who used CGM had a lower HbAc (7.1 vs 7.5 %,p = 0.02). Analyzing the data of the ambulatory glucose report, the CSII users had a lower glucose management indicator, (7.2 % vs 7.6 %, p < 0.01), more time in range (58.0 % vs 52.4 %;p < 0.01) and less time above range > 250 mg/dL (12.4 % vs 20.5 %;p < 0.01) than MDI users.

CONCLUSIONS

The median HbA1c was 7.3% very close to the recommended target. In Portugal, pediatric patients can access a CSII provided by the national health service and a CGM system due to an elevated reimbursement of their cost. This healthy policy allows us to achieve better goals without the risk of hypoglycemia.

Emerging drugs for the treatment of type 1 diabetes mellitus: a review of phase 2 clinical trials

INTRODUCTION

Despite therapeutic advances in the field of diabetes management since the discovery of insulin 100 years ago, there are still unmet clinical needs for people with type 1 diabetes mellitus (T1DM).

AREAS COVERED

Genetic testing and islet autoantibodies testing allow researchers to design prevention studies. This review discusses the emerging therapy for prevention of T1DM, disease modification therapy in early course of T1DM, and therapies and technologies for established T1DM. We focus on phase 2 clinical trials with promising results, thus avoiding the exhausted list of every new therapy for T1DM.

EXPERT OPINION

Teplizumab has demonstrated potential as a preventative agent for individuals at risk prior to the onset of overt dysglycemia. However, these agents are not without side effects, and there are uncertainties on long-term safety. Technological advances have led a substantial influence on quality of life of people suffering from T1DM. There remains variation in uptake of new technologies across the globe. Novel insulins (ultra-long acting), oral insulin, and inhaled insulin attempt to narrow the gap of unmet needs. Islet cell transplant is another exciting field, and stem cell therapy might have potential to provide unlimited supply of islet cells.

A perspective on treating type 1 diabetes mellitus before insulin is needed

Type 1 diabetes mellitus (T1DM) is a progressive autoimmune disease that starts long before a clinical diagnosis is made. The American Diabetes Association recognizes three stages: stage 1 (normoglycaemic and positive for autoantibodies to β-cell antigens); stage 2 (asymptomatic with dysglycaemia); and stage 3, which is defined by glucose levels consistent with the definition of diabetes mellitus. This Perspective focuses on the management of the proportion of individuals with early stage 3 T1DM who do not immediately require insulin; a stage we propose should be termed stage 3a. To date, this period of non-insulin-dependent T1DM has been largely unrecognized. Importantly, it represents a window of opportunity for intervention, as remaining at this stage might delay the need for insulin by months or years. Extending the insulin-free period and/or avoiding unnecessary insulin therapy are important goals, as there is no risk of hypoglycaemia during this period and the adherence burden on patients of glycaemic monitoring and daily adjustments for diet and exercise is substantially reduced. Recognizing the pressing need for guidance on adequate management of children and adults with stage 3a T1DM, we present our perspective on the subject, which needs to be tested in formal and adequately powered clinical trials.

The role and need for psychological support in the treatment of adolescents and young people suffering from type 1 diabetes

Psychological support might be perceived as one of the most important factors in the treatment of people suffering from type 1 diabetes, particularly among vulnerable groups such as adolescents and young people. Problems arising from extreme pressure put on young patients, high expectations, and specific limitations associated with diabetes often reflect in negative wellbeing and affect patients' behavior, resulting in lower self-esteem, mood swings, depression, or even eating disorders. Therefore, the need for a more holistic approach to the treatment of diabetes and caring about psychological support can be observed, which may contribute to better functioning and management of the disease. Differentiation of certain approach methods such as the positive approach (PA) discussed in the text may help young patients in motivation and coping with their disease as well as accepting limitations caused by type 1 diabetes. This would decrease the risk of potential revolt against medical recommendations, common for patients at the mentioned age, and help raise awareness of the problem. Maintaining life balance through undertaking regular physical activities and being open to new strategies such as telenursing can also result in the improvement of glycemic control. The studies presented have proven the great effectiveness of personalized care adjusted to the patient with psychological support, as well as the invaluable role of education in diabetes, which includes not only standard procedures such as calculating an appropriate insulin dose but also the invention of effective coping mechanisms, which influence patients' performance and wellbeing.

Diabetestechnologie bei Kindern und Jugendlichen mit Diabetes mellitus Typ 1

Die Behandlung des Diabetes mellitus Typ 1 (T1D) im Kindes- und Jugendalter ist komplex und stellt eine Herausforderung für die betroffenen Kinder und Jugendlichen, deren Familien und das ganze Umfeld (Schule/Kindergarten) dar. Das Ziel der Diabetestherapie besteht darin, eine möglichst normoglykämische Blutzuckerkontrolle zu erreichen, um akuten und chronischen Komplikationen vorzubeugen. Laut Registerstudien können die metabolischen Therapieziele derzeit noch nicht erreicht werden, weswegen ein Risiko für Akut- und Spätkomplikationen besteht. Weitere Therapieziele sind eine normale Entwicklung, Inklusion, Flexibilität im Alltag sowie eine hohe Lebensqualität. Abgesehen von neueren Insulinanaloga gingen auch die Entwicklungen in der Diabetestechnologie in den letzten Jahren mit großen Veränderungen und Verbesserungen in der Behandlung und Lebensqualität der betroffenen Familien einher. Die Insulinpumpentherapie, die kontinuierliche Glukosemessung sowie die automatische Insulindosierung (AID) führten zu einer signifikanten Verbesserung der metabolischen Einstellung sowie einer Reduktion der schweren Hypoglykämien und Ketoazidosen. Die Diabetestechnologie entwickelt sich ständig weiter und erfordert eine umfassende Schulung und Fortbildung der betroffenen Familien, der Betreuungseinrichtungen sowie auch des multidisziplinären Behandlungsteams. Ziel sind eine Reduktion der glykämischen Variabilität und damit ein besseres Langzeitoutcome der jungen Menschen mit T1D. Die AID ist zunehmend die Therapie der Wahl bei Kindern und Jugendlichen mit T1D. Mit weiteren Innovationen im Bereich der Diabetestechnologie ist in naher Zukunft zu rechnen.

Higher risk of severe hypoglycemia in children and adolescents with a rapid loss of C-peptide during the first 6 years after type 1 diabetes diagnosis

INTRODUCTION

The progression to insulin deficiency in type 1 diabetes is heterogenous. This study aimed to identify early characteristics associated with rapid or slow decline of beta-cell function and how it affects the clinical course.

RESEARCH DESIGN AND METHODS

Stimulated C-peptide was assessed by mixed meal tolerance test in 50 children (<18 years) during 2004-2017, at regular intervals for 6 years from type 1 diabetes diagnosis. 40% of the children had a rapid decline of stimulated C-peptide defined as no measurable C-peptide (<0.03 nmol/L) 30 months after diagnosis.

RESULTS

At diagnosis, higher frequencies of detectable glutamic acid decarboxylase antibodies (GADA) and IA-2A (p=0.027) were associated with rapid loss of beta-cell function. C-peptide was predicted positively by age at 18 months (p=0.017) and 30 months duration (p=0.038). BMI SD scores (BMISDS) at diagnosis predicted higher C-peptide at diagnosis (p=0.006), 3 months (p=0.002), 9 months (p=0.005), 30 months (p=0.022), 3 years (p=0.009), 4 years (p=0.016) and 6 years (p=0.026), whereas high HbA1c and blood glucose at diagnosis predicted a lower C-peptide at diagnosis (p=<0.001) for both comparisons. Both GADA and IA-2A were negative predictors of C-peptide at 9 months (p=0.011), 18 months (p=0.008) and 30 months (p<0.001). Ten children had 22 events of severe hypoglycemia, and they had lower mean C-peptide at 18 months (p=0.025), 30 months (p=0.008) and 6 years (p=0.018) compared with others. Seven of them had a rapid decline of C-peptide (p=0.030), and the odds to experience a severe hypoglycemia were nearly fivefold increased (OR=4.846, p=0.04).

CONCLUSIONS

Low age and presence of multiple autoantibodies at diagnosis predicts a rapid loss of beta-cell function in children with type 1 diabetes. Low C-peptide is associated with an increased risk of severe hypoglycemia and higher Hemoglobin A1C. A high BMISDS at diagnosis is predictive of remaining beta-cell function during the 6 years of follow-up.

Prospective Open-Label, Single-Arm, Single-Center Follow-Up Study of the Application of the Advanced Hybrid Closed Loop System in Well-Controlled Children and Adolescents with Type 1 Diabetes

Background: The aim of this prospective open-label single-arm single-center follow-up study was to analyze glycemic control in children and adolescents with type 1 diabetes treated with the advanced hybrid closed loop (AHCL) system in relation to a sensor-augmented pump with low-glucose suspend (SAP-LGS) or predictive low-glucose suspend (SAP-PLGS). Materials and Methods: The data for 50 children and adolescents (age 5.5-19.6 years) with type 1 diabetes, receiving insulin through an AHCL system after being switched from SAP-LGS/PLGS systems, were included in the analysis. The SAP-LGS/PLGS records from 2 weeks preceding the AHCL connection were compared with the records from the first 4 weeks of AHCL use, represented as two separate 2-week intervals. Results: Significant improvements in most of the parameters, namely time spent in the range of 70-140 mg/dL (from 53.80% ± 12.35% to 61.70% ± 8.42%, P < 0.001) and 70-180 mg/dL (from 76.17% ± 10.28% to 81.32% ± 7.71%, P < 0.001), average sensor glucose (from 138.61 ± 16.66 to 130.02 ± 10.91 mg/dL, P < 0.001), and glucose management indicator (from 6.54% ± 0.45% to 6.27% ± 0.29%, P = 0.001), were observed within 2 weeks of switching to the AHCL. More evident improvements were observed for the parameters monitored at night than during the day. The potential limitations of this study were the short observation time, lack of glycated hemoglobin measurements, and no control arm. Conclusion: The AHCL system can significantly improve glycemic control even in well-controlled children and adolescents with type 1 diabetes by increasing the proportion of time spent in the narrower range of 70-140 mg/dL and decreasing the mean glucose concentration, especially during the night.

A collaborative comparison of international pediatric diabetes registries

BACKGROUND

An estimated 1.1 million children and adolescents aged under 20 years have type 1 diabetes worldwide. Principal investigators from seven well-established longitudinal pediatric diabetes registries and the SWEET initiative have come together to provide an international collaborative perspective and comparison of the registries.

WORK FLOW

Information and data including registry characteristics, pediatric participant clinical characteristics, data availability and data completeness from the Australasian Diabetes Data Network (ADDN), Danish Registry of Childhood and Adolescent Diabetes (DanDiabKids), Diabetes prospective follow-up registry (DPV), Norwegian Childhood Diabetes Registry (NCDR), National Paediatric Diabetes Audit (NPDA), Swedish Childhood Diabetes Registry (Swediabkids), T1D Exchange Quality Improvement Collaborative (T1DX-QI), and the SWEET initiative was extracted up until 31 December 2020.

REGISTRY OBJECTIVES AND OUTCOMES

The seven diabetes registries and the SWEET initiative collectively show data of more than 900 centers and around 100,000 pediatric patients, the majority with type 1 diabetes. All share the common objectives of monitoring treatment and longitudinal outcomes, promoting quality improvement and equality in diabetes care and enabling clinical research. All generate regular benchmark reports. Main differences were observed in the definition of the pediatric population, the inclusion of adults, documentation of CGM metrics and collection of raw data files as well as linkage to other data sources. The open benchmarking and access to regularly updated data may prove to be the most important contribution from registries. This study describes aspects of the registries to enable future collaborations and to encourage the development of new registries where they do not exist.

Trajectory and predictors of HbA1c in children and adolescents with type 1 diabetes-A Danish nationwide cohort study

OBJECTIVES

Poor glycemic control in type 1 diabetes increases the risk of chronic complications and it is essential to identify life periods and predictors associated with deteriorating HbA_1c . The aim was to describe specific HbA_1c trajectories in Danish children and adolescents with type 1 diabetes and study associations with clinical and sociodemographic factors.

RESEARCH DESIGN AND METHODS

5889 children with type 1 diabetes were included from the nationwide Danish Registry of Childhood and Adolescent Diabetes with annual visits during 1996-2019. Trajectories of HbA_1c were modeled with linear mixed-effects models (using age as time scale, included as cubic spline) and with an individual-specific random intercept and slope. The following cofactors were included stepwise into the model: sex, age at diagnosis, calendar year, parental education, immigrant status, health care region, blood glucose monitoring (BGM) frequency, treatment modalities: continuous subcutaneous insulin infusion (pump) versus multiple daily insulin injection therapy (pen) and continuous glucose monitoring.

RESULTS

HbA_1c overall increased during age while there was a significant decreasing secular trend. Older age at diagnosis was associated with a steeper trajectory, and non-Danish origin and shorter parental education were each associated with higher levels of HbA_1c across age. A lower BGM frequency was associated with a markedly poorer HbA_1c trajectory, while no significant differences were shown for different treatment modalities.

CONCLUSIONS

Glycemic outcome worsened with age during childhood and adolescence, which is of clinical concern. Important predictors for a poorer glycemic trajectory were later age at diabetes diagnosis, shorter parental education, non-Danish origin and, in particular low BGM frequency.

Epidemiology of Type 1 Diabetes

PURPOSE OF REVIEW

Epidemiological research on type 1 diabetes (T1D) has traditionally focussed on the paediatric age group, but recent data in adults has confirmed it to be a disease of all ages with a wide clinical spectrum. We review the epidemiology and clinical features of T1D across the lifespan.

RECENT FINDINGS

While the peak incidence of T1D is still in early adolescence, T1D is now diagnosed more commonly in adulthood than childhood due to increasing recognition of adult-onset T1D and the length of the adult lifespan. It still follows the known geographic variations in incidence, being highest in Northern Europe and lowest in Asia. The onset of T1D in adulthood is usually less acute than in childhood and confers a lower, although still substantial, risk of complications and early mortality. Interventions to delay T1D onset are emerging and screening for those at risk at birth is increasingly available. Type 1 diabetes can develop at any age and may not present with ketosis or an immediate insulin requirement in adults. Macro- and microvascular complications are the greatest cause of excess morbidity and mortality in this population.

Adolescents with type 1 diabetes can achieve glycemic targets on intensive insulin therapy without excessive weight gain

Introduction

The aim of this study was to compare glycemic control and body mass index standard deviation score (BMI‐SDS) before and after implementation of intensive insulin therapy using multiple daily injection (MDI) or continuous subcutaneous insulin infusion (CSII) in adolescents with type 1 diabetes (T1D) attending a large multidisciplinary paediatric diabetes clinic in Australia.

Methods

Prospective data were collected for cross‐sectional comparison of youth aged 10.0–17.9 years (n = 669) from routine follow‐up visits to the diabetes clinic in 2004, 2010, and 2016. Outcome measures included HbA1c; BMI‐SDS; and insulin regimen.

Results

BMI‐SDS remained stable between 2004 to 2016 in the 10–13 and 14–17 year age group (0.7 vs. 0.5, p = .12 and 0.7 vs. 0.7, p = .93, respectively). BMI‐SDS was not different across HbA1c groups; <53 mmol/mol (7.0%), 53 to <75 mmol/mol (<7.0 to <9.0%) and >75 mmol/mol (>9.0%) in 2004 (p = .873), 2010 (p = .10) or 2016 (p = .630). Mean HbA1c decreased from 2004 to 2016 in the 10–13 year (69 mmol/mol (8.4%) vs. 57 mmol/mol (7.4%), p = <.001) and 14–17 year group (72 mmol/mol (8.7%) vs. 63 mmol/mol (7.9%), p = <.001). Prior to the implementation of MDI and CSII in 2004 only 10% of 10–13 year olds and 8% of 14–17 year olds achieved the international target for glycemic control (HbA_1c 53 mmol/mol [<7.0%]). In 2016, this increased to 31% of 10–13 year olds and 21% of 14–17 year olds.

Conclusions

BMI‐SDS did not increase with the change to intensive insulin therapy despite a doubling in the number of adolescents achieving the recommended glycemic target of <7.0% (53 mmol/mol). HbA1c was not associated with weight gain.

Personality, Coping and Developmental Conditions in Female Adolescents and Young Adults with Type 1 Diabetes: Influence on Metabolic Control and Quality of Life

Objective

To assess personality factors, coping, developmental conditions and quality of life in female adolescents and young adults with type 1 diabetes (T1D) and high vs.low HbA1c.

Methods

Patients were approached at the Department for Pediatrics, Medical University of Vienna; n = 129 female adolescents (10 to 23 years, mean age 15.21 ± 2.91) with type 1 diabetes were included. HIGH-A1c was defined as HbA1c > 7.5%, LOW-A1c as HbA1c ≤ 7.5% and compared to a sample of 56 age-matched female healthy controls. Self-rating questionnaires were used to assess psychosocial factors: Children's Depression Inventory (CDI); Junior Temperament and Character Inventory (J-TCI); Eating Disorders Inventory-2 (EDI-2); KIDCOPE; Subjective Family Image Test (SFIT) and Inventory of Life Quality in Children and Adolescents(ILC).

Results

T1D patients with HIGH-A1c were younger at the age of diabetes onset, had a longer diabetes duration, a higher maximum BMI, higher depression score, and higher frequency of diabetic ketoacidosis in the last year. They showed significantly higher levels of fatigue, lower levels of taking responsibility, lower ability to set goals and lower self-acceptance, as well as higher levels of ineffectiveness, lower levels of emotional attachment within the family, in particular with the fathers, and used negative coping strategies more often compared to patients with LOW-A1c. Furthermore, they reported significantly higher burden of illness and lower quality of life.

Conclusions

Disadvantageous personality and coping styles as well as developmental conditions should be addressed in the treatment of female adolescents with T1D with management problems.

Real-World Use of Continuous Glucose Monitoring (CGM) Systems Among Adolescents and Young Adults With Type 1 Diabetes: Reduced Burden, but Little Interest in Data Analysis

BACKGROUND

Since 2016, German health insurance companies reimburse continuous glucose monitoring (CGM) systems for persons with insulin-dependent diabetes, leading to a tremendous increase of CGM use. This study assessed the use of CGM, the satisfaction with, and the data analysis behavior among young people.

METHODS

During a diabetes camp for young people from all over Germany, participants anonymously answered a questionnaire on their method of glucose monitoring, satisfaction and quality of CGM use, HbA1c, and diabetes distress (Problem Areas in Diabetes Scale [PAID]-5).

RESULTS

A total of 308 participants (age 21.4 ± 3.5 years; 73% female; diabetes duration 10.1 ± 5.9 years) completed the questionnaire. Approximately, 25% used self-monitoring of blood glucose (SMBG), 46% intermittent-scanning continuous glucose monitoring (iscCGM), and 30% real-time continuous glucose monitoring (rtCGM). Mean HbA1c was slightly, but not significantly, higher among SMBG users compared with CGM users (8.0% ± 1.9% vs. 7.7% ± 1.4%; P = .791). Diabetes distress was not associated with the method of glucose monitoring (SMBG 5.6 vs. iscCGM 6.2 vs. rtCGM 6.5; P = .386). Overall, satisfaction with CGM use was very high; 98% of the CGM users reported better well-being with CGM compared with previous SMBG use. Only 19% of CGM users reported regular data analyses; their HbA1c was lower compared with other CGM users (7.2% ± 1.2% vs. 7.7% ± 1.4%; P = .039).

CONCLUSIONS

In this large sample of young people, 75% were using a CGM system. Treatment satisfaction was very high, but CGM use was not associated with reduced diabetes distress or better glycemic control. However, young people who regularly analyzed their CGM data reported lower HbA1c levels.

Size matters: Influence of center size on quality of diabetes control in children and adolescents with type 1 diabetes-A longitudinal analysis of the DPV cohort

BACKGROUND

Treatment of patients with type 1 diabetes requires experience and a specific infrastructure. Therefore, center size might influence outcome in diabetes treatment.

OBJECTIVE

To analyze the influence of center size on the quality of diabetes treatment in children and adolescents in Germany and Austria.

PATIENTS AND METHODS

In 2009 and 2018, we analyzed metabolic control, acute complications, and rates of recommended screening tests in the DPV cohort. Diabetes centers were classified according to the number of patients from "XS" to "XL" (<20 [XS], ≥20 to <50 [S], ≥50 to <100 [M], ≥100 to <200 [L], ≥200 [XL]).

RESULTS

Over the 10-year period, metabolic control improved significantly in "M", "L" and "XL" diabetes centers. Treatment targets are best achieved in "M" centers, while "XS" centers have the highest mean hemoglobin A1c. The relation between hemoglobin A1c and center size follows a "v-shaped" curve. In 2009, conventional insulin therapy was most frequently used in "XS" centers, but in 2018, there was no difference in mode of insulin therapy according to center size. Use of CSII and sensor augmented CSII/hybrid closed loop increased with center size. Patients cared for in "XS" diabetes centers had the fewest follow-up visits per year. The rates of severe hypoglycemia and DKA were lowest in "XL" diabetes centers, and the rate of DKA was highest in "XS" centers.

CONCLUSION

Center size influences quality of care in pediatric patients with type 1 diabetes. Further investigations regarding contributing factors such as staffing and financial resources are required.

Randomized Trial of Closed-Loop Control in Very Young Children with Type 1 Diabetes

BACKGROUND

The possible advantage of hybrid closed-loop therapy (i.e., artificial pancreas) over sensor-augmented pump therapy in very young children with type 1 diabetes is unclear.

METHODS

In this multicenter, randomized, crossover trial, we recruited children 1 to 7 years of age with type 1 diabetes who were receiving insulin-pump therapy at seven centers across Austria, Germany, Luxembourg, and the United Kingdom. Participants received treatment in two 16-week periods, in random order, in which the closed-loop system was compared with sensor-augmented pump therapy (control). The primary end point was the between-treatment difference in the percentage of time that the sensor glucose measurement was in the target range (70 to 180 mg per deciliter) during each 16-week period. The analysis was conducted according to the intention-to-treat principle. Key secondary end points included the percentage of time spent in a hyperglycemic state (glucose level, >180 mg per deciliter), the glycated hemoglobin level, the mean sensor glucose level, and the percentage of time spent in a hypoglycemic state (glucose level, <70 mg per deciliter). Safety was assessed.

RESULTS

A total of 74 participants underwent randomization. The mean (±SD) age of the participants was 5.6±1.6 years, and the baseline glycated hemoglobin level was 7.3±0.7%. The percentage of time with the glucose level in the target range was 8.7 percentage points (95% confidence interval [CI], 7.4 to 9.9) higher during the closed-loop period than during the control period (P<0.001). The mean adjusted difference (closed-loop minus control) in the percentage of time spent in a hyperglycemic state was -8.5 percentage points (95% CI, -9.9 to -7.1), the difference in the glycated hemoglobin level was -0.4 percentage points (95% CI, -0.5 to -0.3), and the difference in the mean sensor glucose level was -12.3 mg per deciliter (95% CI, -14.8 to -9.8) (P<0.001 for all comparisons). The time spent in a hypoglycemic state was similar with the two treatments (P = 0.74). The median time spent in the closed-loop mode was 95% (interquartile range, 92 to 97) over the 16-week closed-loop period. One serious adverse event of severe hypoglycemia occurred during the closed-loop period. One serious adverse event that was deemed to be unrelated to treatment occurred.

CONCLUSIONS

A hybrid closed-loop system significantly improved glycemic control in very young children with type 1 diabetes, without increasing the time spent in hypoglycemia. (Funded by the European Commission and others; ClinicalTrials.gov number, NCT03784027.).

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.

Above 40% of Polish children and young adults with type 1 diabetes achieve international HbA1c target - results of a nationwide cross-sectional evaluation of glycemic control: The PolPeDiab HbA1c study

BACKGROUND

Youth with type 1 diabetes (T1D) (16-18 y.o.) present worst disease control of all age groups and need structured interventions. Those should be based on unbiased, national-scale outcomes, which have not yet been successfully assessed in Poland.

OBJECTIVE

To evaluate the glycemic control in young patients with T1D in Poland.

METHOD

All pediatric diabetes care centers and the nine largest centers for adults with T1D were invited to this cross-sectional study, conducted in March 2018. Eligibility was defined as age ≤ 30 years and diabetes duration ≥1 year. Blinded samples of capillary blood and clinical questionnaires were sent to coordinating center, where HbA1c was measured by high-pressure liquid chromatography.

RESULTS

Nine adult and 25/28 pediatric centers participated, providing data for 1255 patients (50.8% males), mean age 12.3 years (95%CI:12.1-12.6) for children and 23.2 years (22.9-23.6) for adults; mean diabetes duration 7.1 years (6.8-7.3). This covered ~8% of pediatric population and 2% of 18-30-years-olds with T1D. Mean HbA1c was comparable between children and adults (57 mmol/mol [7.4%], 95%CI:56-57 mmol/mol [7.3-7.4%] vs. 57 mmol/mol [7.4%], 95%CI:56-60 mmol/mol [7.3-7.6%], p = 0.1870). Overall, 45.2% of patients achieved ISPAD target (<53 mmol/mol [<7.0%]). During the month preceding the study, 0.9% of patients experienced severe hypoglycemia and 0.4% suffered ketoacidosis. HbA1c was related to the method of insulin therapy, continuous glucose monitoring use and body weight (p < 0.0001).

CONCLUSIONS

In Polish children and young adults with T1D glycemic control expressed as HbA1c is promising in the light of ISPAD guidelines. Our results confirm the known associations between better glycemic control and the use of new technologies and maintaining optimal body weight.

Hemoglobin A1c Patterns of Youth With Type 1 Diabetes 10 Years Post Diagnosis From 3 Continents

OBJECTIVES

Distinct hemoglobin A1c (HbA1c) trajectories during puberty are identified in youth with established type 1 diabetes (T1D). We used data from 3 international registries to evaluate whether distinct HbA1c trajectories occur from T1D onset.

METHODS

Participants were <18 years old at diagnosis with at least 1 HbA1c measured within 12 months post diagnosis, along with ≥3 duration-year-aggregated HbA1c values over 10 years of follow-up. Participants from the Australasian Diabetes Data Network (n = 7292), the German-Austrian-Luxembourgian-Swiss diabetes prospective follow-up initiative (Diabetes Patienten Verlaufsdokumentation) (n = 39 226) and the US-based Type 1 Diabetes Exchange Clinic Registry (n = 3704) were included. With group-based trajectory modeling, we identified unique HbA1c patterns from the onset of T1D.

RESULTS

Five distinct trajectories occurred in all 3 registries, with similar patterns of proportions by group. More than 50% had stable HbA1c categorized as being either low stable or intermediate stable. Conversely, ∼15% in each registry were characterized by stable HbA1c >8.0% (high stable), and ∼11% had values that began at or near the target but then increased (target increase). Only ∼5% of youth were above the target from diagnosis, with an increasing HbA1c trajectory over time (high increase). This group differed from others, with higher rates of minority status and an older age at diagnosis across all 3 registries (P ≤ .001).

CONCLUSIONS

Similar postdiagnostic HbA1c patterns were observed across 3 international registries. Identifying the youth at the greatest risk for deterioration in HbA1c over time may allow clinicians to intervene early, and more aggressively, to avert increasing HbA1c.

Intermittently Scanned Continuous Glucose Monitoring Data of Polish Patients from Real-Life Conditions: More Scanning and Better Glycemic Control Compared to Worldwide Data

Background: Randomized trials and observational studies have shown that the use of FreeStyle Libre^® intermittently scanned continuous glucose monitoring system (isCGMS) is associated with improved glycemic indices and quality of life. Materials and Methods: In this retrospective, real-world data analysis, we described country-specific glucometrics among isCGMS users from Poland and compared them with international data. The analyzed time period for the Polish data ranged between August 2016 and August 2020, and the analyzed time period for the international data ranged from September 2014 to August 2020. Results: Data from the Polish population were collected from 10,679 readers and 92,627 sensors with 113 million automatically recorded glucose readings. The worldwide database included information from 981,876 readers and 11,179,229 sensors with 13.1 billion glucose readings. On average, the users of isCGMS from Poland performed substantially more scans/day (21.2 ± 14.2 vs. 13.2 ± 10.7), achieved lower eHbA1c (7.0% ± 1.2% vs. 7.5% ± 1.5%), and spent more time-in-range (TIR) (64.2% ± 17.3% vs. 58.1% ± 20.3%) and less time-above-range (TAR) (29.7% ± 18.0% vs. 36.6% ± 21.3%) (P < 0.0001 for all comparisons). Moreover, they were more likely to achieve TIR >70% (36.3% vs. 28.8%), but spent more time-below-range (TBR) (4.7% vs. 3.6%). Our results confirmed that analyzed glucometrics improve as the scan rate frequency increases. However, at a similar scanning frequency to the comparative group, users from Poland achieved lower eHbA1c, higher TIR, and lower TAR, but higher TBR. Conclusions: We report more scanning and better glycemic control in isCGMS users in Poland than worldwide. The cause of this observation remains unknown. Our data also show that in real-life practice, a large number of patients may be willing to perform scanning more frequently than it is usually assumed.

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.

Zusammenhang von Bildungsstatus und Diabetesoutcomes: Ergebnisse der DIAS-Studie bei Kindern und Jugendlichen mit Typ-1-Diabetes in Deutschland

Fragestellung Assoziation zwischen Bildungsstand (BldS) der Eltern und diabetesbezogenen Outcomes bei Kindern mit Typ-1-Diabetes in Deutschland und Vergleich mit deren sozioökonomischem Status (SES).

Material und Methode 1781 Kinder und Jugendliche mit Typ-1-Diabetes mellitus unter 18 Jahren aus 13 deutschen Diabeteszentren wurden von Juni 2013 bis Juni 2014 in die Studie eingeschlossen und Assoziationen des familiären BldS mit verschiedenen Diabetesoutcomes analysiert. Die Analyse wurde als Sekundäranalyse anhand des Datensatzes der DIAS-Studie durchgeführt. Diese hatte Assoziationen eines niedrigen SES (gemessen mit einem Index aus BldS, beruflicher Stellung und Haushaltseinkommen der Eltern) mit ungünstigen Diabetes- und Versorgungsoutcomes ermittelt. Die vorliegende Sekundäranalyse untersuchte Assoziationen derselben Outcomes mit dem BldS der Eltern, um zu prüfen, ob sich der BldS als vereinfachter Indikator für die Routinemessung des SES eignet.

Die Daten wurden mittels der DPV-Software (Diabetes-Patienten-Verlaufsdokumentation) erfasst, die Analysen erfolgten je nach Verteilungscharakteristika der Outcomes mittels linearer, logistischer, negativ-binomialer oder Poisson-Modellen unter Adjustierung für Alter, Geschlecht, Diabetesdauer, jeweils mit und ohne zusätzliche Adjustierung für Migrationshintergrund.

Ergebnisse Niedriger familiärer BldS war im Vergleich zu mittlerem/hohem BldS mit einer schlechteren glykämischen Einstellung (HbA1c) (8,1 % versus 7,8 %, p < 0,0001/7,6 %, p < 0,0001) und einem geringeren prozentualen Anteil an Insulinpumpennutzung (42,7 % versus 56,3 %, p < 0,0001/52,5 %, p < 0,01) assoziiert. Weiterhin zeigten die Gruppen mit niedrigem im Vergleich zu mittlerem/hohem BldS seltenere tägliche Blutzuckerselbstmessungen, einen höheren Body-Mass-Index und längere stationäre Aufenthalte. Schwere Hypoglykämien und Ketoazidosen traten bei Patienten mit niedrigem BldS nicht häufiger auf. Der BldS der Eltern differenzierte dabei mindestens genauso gut zwischen den sozialen Gruppen wie der mit einem komplexen Indikator gemessene SES.

Zusammenfassung Der BldS der Eltern ist ein bedeutsamer Prädiktor für Gesundheits- und Versorgungsoutcomes bei Kindern mit Typ-1-Diabetes und sollte in der personalisierten Diabetestherapie von Kindern und Jugendlichen mehr Berücksichtigung erfahren. Als kurzer und leicht zu erhebender Indikator bildet er einen guten Näherungswert für die Routineerhebung der individuellen Stellung der Patientinnen und Patienten in der Sozialhierarchie in Diabetes-Standarddokumentationen.

Benefits and Challenges of Current Closed-Loop Technologies in Children and Young People With Type 1 Diabetes

Recent advances in diabetes technology have led to the development of closed-loop insulin delivery systems for the management of type 1 diabetes. Several such systems are now commercially available for children and young people. While all available systems have been shown to improve glycaemic control and quality of life in this population, qualitative data also highlights the challenges in using closed-loop systems, which vary among different pediatric age-groups. Very young children require systems that are able to cope with low insulin doses and significant glycaemic variability due to their high insulin sensitivity and unpredictable eating and exercise patterns. Adolescents' compliance is often related to size and number of devices, usability of the systems, need for calibrations, and their ability to interact with the system. Given the speed of innovations, understanding the capabilities and key similarities and differences of current systems can be challenging for healthcare professionals, caregivers and young people with type 1 diabetes alike. The aim of this review is to summarize the key evidence on currently available closed-loop systems for children and young people with type 1 diabetes, as well as commenting on user experience, where real-world data are available. We present findings on a system-basis, as well as identifying specific challenges in different pediatric age-groups and commenting on how current systems might address these. Finally, we identify areas for future research with regards to closed-loop technology tailored for pediatric use and how these might inform reimbursement and alleviate disease burden.

Assessing the efficacy, safety and utility of closed-loop insulin delivery compared with sensor-augmented pump therapy in very young children with type 1 diabetes (KidsAP02 study): an open-label, multicentre, multinational, randomised cross-over study protocol

INTRODUCTION

Diabetes management in very young children remains challenging. Glycaemic targets are achieved at the expense of high parental diabetes management burden and frequent hypoglycaemia, impacting quality of life for the whole family. Our objective is to assess whether automated insulin delivery can improve glycaemic control and alleviate the burden of diabetes management in this particular age group.

METHODS AND ANALYSIS

The study adopts an open-label, multinational, multicentre, randomised, crossover design and aims to randomise 72 children aged 1-7 years with type 1 diabetes on insulin pump therapy. Following screening, participants will receive training on study insulin pump and study continuous glucose monitoring devices. Participants will be randomised to 16-week use of the hybrid closed-loop system (intervention period) or to 16-week use of sensor-augmented pump therapy (control period) with 1-4 weeks washout period before crossing over to the other arm. The order of the two study periods will be random. The primary endpoint is the between-group difference in time spent in the target glucose range from 3.9 to 10.0 mmol/L based on sensor glucose readings during the 16-week study periods. Analyses will be conducted on an intention-to-treat basis. Key secondary endpoints are between group differences in time spent above and below target glucose range, glycated haemoglobin and average sensor glucose. Participants' and caregivers' experiences will be evaluated using questionnaires and qualitative interviews, and sleep quality will be assessed. A health economic analysis will be performed.

ETHICS AND DISSEMINATION

Ethics approval has been obtained from Cambridge East Research Ethics Committee (UK), Ethics Committees of the University of Innsbruck, the University of Vienna and the University of Graz (Austria), Ethics Committee of the Medical Faculty of the University of Leipzig (Germany) and Comité National d'Ethique de Recherche (Luxembourg). The results will be disseminated by peer-reviewed publications and conference presentations.

TRIAL REGISTRATION NUMBER

NCT03784027.

The Evolution of Hemoglobin A1c Targets for Youth With Type 1 Diabetes: Rationale and Supporting Evidence

The American Diabetes Association 2020 Standards of Medical Care in Diabetes (Standards of Care) recommends a hemoglobin A1c (A1C) of <7% (53 mmol/mol) for many children with type 1 diabetes (T1D), with an emphasis on target personalization. A higher A1C target of <7.5% may be more suitable for youth who cannot articulate symptoms of hypoglycemia or have hypoglycemia unawareness and for those who do not have access to analog insulins or advanced diabetes technologies or who cannot monitor blood glucose regularly. Even less stringent A1C targets (e.g., <8%) may be warranted for children with a history of severe hypoglycemia, severe morbidities, or short life expectancy. During the "honeymoon" period and in situations where lower mean glycemia is achievable without excessive hypoglycemia or reduced quality of life, an A1C <6.5% may be safe and effective. Here, we provide a historical perspective of A1C targets in pediatrics and highlight evidence demonstrating detrimental effects of hyperglycemia in children and adolescents, including increased likelihood of brain structure and neurocognitive abnormalities, microvascular and macrovascular complications, long-term effects, and increased mortality. We also review data supporting a decrease over time in overall severe hypoglycemia risk for youth with T1D, partly associated with the use of newer insulins and devices, and weakened association between lower A1C and severe hypoglycemia risk. We present common barriers to achieving glycemic targets in pediatric diabetes and discuss some strategies to address them. We aim to raise awareness within the community on Standards of Care updates that impact this crucial goal in pediatric diabetes management.

Insulinpumpe, kontinuierliche und kapilläre Glukosemessung bei Kindern, Jugendlichen und Erwachsenen mit Diabetes mellitus: Daten des DPV-Registers zwischen 1995 und 2019

Ziel dieser Beobachtungsstudie ist die Beschreibung der aktuellen Nutzung von Diabetestechnologien bei Patienten/-innen mit Diabetes mellitus.

Methode Auswertung von Daten des DPV-Registers zur Nutzung der Insulinpumpentherapie (CSII), kontinuierlicher Glukosemessung (CGM) und der Selbstmessung der Blutglukose (SMBG) aus 497 teilnehmenden Zentren in Deutschland, Österreich, Luxemburg und der Schweiz zwischen 1995 und 2019. Die Daten wurden bei Patienten/-innen mit Diabetes Typ 1 (Alter ≥ 0,5 Jahre) für 5 Altersgruppen ausgewertet. Zusätzlich wurden aktuelle (zwischen 2017 und 2019) Geschlechtsunterschiede in der Verwendung von Diabetestechnologie bei Typ-1-Patienten/-innen untersucht, ebenso wie die Nutzung von Insulinpumpen und CGM für Patienten/-innen mit Insulintherapie bei Typ-2-DM, bei zystischer Fibrose (CFRD), bei anderen Pankreaserkrankungen, neonatalem Diabetes und Maturity Onset Diabetes of the Young (MODY).

Ergebnisse Es zeigte sich bei Patienten/-innen mit Diabetes Typ 1 ein Anstieg der CSII-Nutzung von 1995 bis 2019 von 1 % auf 55 % (2019: < 6 Jahre: 89 %; 6–< 12 Jahre: 67 %; 12–< 18 Jahre: 52 %; 18–< 25 Jahre: 48 %; ≥ 25 Jahre: 34 %). Die CGM-Nutzung erhöhte sich ab 2016 bis 2019 von 9 % auf 56 % (2019: 67 %; 68 %; 61 %; 47 %; 19 % der jeweiligen Altersgruppe). Die SMBG nahmen von 1995 bis 2015 insbesondere in den jüngeren Altersgruppen zu, gefolgt von einem Rückgang seit dem Jahr 2016 (Alle Patienten: 1995: 3,3/Tag; 2016: 5,4/Tag; 2019: 3,8/Tag). Weibliche Patienten mit Typ-1-Diabetes führten häufiger eine CSII und mehr SMBG als männliche Patienten durch (56 %/48 %, jeweils p-Wert: < 0,0001), während sich bei der CGM-Nutzung keine signifikanten Unterschiede zeigten.

Zwischen 2017 und 2019 erfolgte eine Nutzung von Insulinpumpen und CGM bei neonatalem Diabetes (CSII 87 %; CGM 38 %), bei MODY (CSII 14 %; CGM 28 %) und bei CFRD (CSII 18 %; CGM 22 %). CGM und CSII wurden dagegen nur selten von Menschen mit Insulintherapie und Diabetes Typ 2 (CSII < 1 %; CGM 1 %) und bei anderen Pankreaserkrankungen (CSII 3 %; CGM 4 %) genutzt.

Schlussfolgerung Moderne Diabetestechnologien werden derzeit insbesondere von pädiatrischen Patienten/-innen mit Diabetes Typ 1, aber auch von Menschen mit neonatalem Diabetes breit genutzt, von Patienten/-innen mit MODY und CFRD sowie Erwachsenen mit Diabetes Typ 1 in etwas geringerem Maße mit ansteigendem Trend. Dagegen sind diese Technologien in der Therapie des Typ-2-Diabetes und bei anderen Pankreaserkrankungen zurzeit nur wenig verbreitet.