A decade of improved glycemic control in young children with type 1 diabetes: A population-based cohort study

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.

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.

Correlation between centre size, metabolic variation and mean HbA1c in major paediatric diabetes centres

AIM

To exploit a relatively homogeneous national health care context and a national diabetes database to address the questions: Is there an optimal clinic/centre size in determining outcomes?; and Can improvement in median centre outcomes be driven by reducing variability in outcome?

METHODS

Using the Australasian Diabetes Database Network, data from seven tertiary hospital paediatric diabetes clinics for patients with type one diabetes from Australia were recorded from 6-month uploads: September 2017, March 2018, September 2018 and March 2019. Data from 25 244 patient visits included demographic variables, HbA1C, number of patient visits and insulin regimens.

RESULTS

There was no association between centre size and median HbA1C. On the other hand, there was a significant association between or median absolute deviation of HbA1C outcomes and the median HbA1C result between centres. On average every two thirds of a median absolute deviation increase in clinic HbA1C was associated with a 1.0% (10.9 mmol/mol) increase in median clinic HbA1C.

CONCLUSIONS

Our data have shown that it is likely difficult for centres to have a low median HbA1C if there is high variance of HbA1C's within centres or within centre treatment groups. This appears to be true regardless of centre size. These findings need to be carefully considered by teams who wish to lower their clinic median HbA1C.

Ongoing burden and recent trends in severe hospitalised hypoglycaemia events in people with type 1 and type 2 diabetes in Scotland: A nationwide cohort study 2016-2022

AIMS

We examined severe hospitalised hypoglycaemia (SHH) rates in people with type 1 and type 2 diabetes in Scotland during 2016-2022, stratifying by sociodemographics.

METHODS

Using the Scottish National diabetes register (SCI-Diabetes), we identified people with type 1 and type 2 diabetes alive anytime during 2016-2022. SHH events were determined through linkage to hospital admission and death registry data. We calculated annual SHH rates overall and by age, sex, and socioeconomic status. Summary estimates of time and stratum effects were obtained by fitting adjusted generalised additive models using R package mgcv.

RESULTS

Rates for those under 20 with type 1 diabetes reached their minimum at the 2020-2021 transition, 30% below the study period average. A gradual decline over time also occurred among 20-49-year-olds with type 1 diabetes. Overall, females had 15% higher rates than males with type 2 diabetes (rate ratio 1.15, 95% CI 1.08-1.22). People in the most versus least deprived quintile experienced 2.58 times higher rates (95% CI 2.27-2.93) in type 1 diabetes and 2.33 times higher (95% CI 2.08-2.62) in type 2 diabetes.

CONCLUSIONS

Despite advances in care, SHH remains a significant problem in diabetes. Future efforts must address the large socioeconomic disparities in SHH risks.

Muscle-to-fat ratio in children and adolescents with type 1 diabetes in predicting glycaemic control and partial clinical remission

BACKGROUND

Advances in treatment could mitigate the expected adverse changes in the body composition of children and adolescents with type 1 diabetes (T1D).

OBJECTIVES

To examine the evolution of weight status and body composition and their association with glycaemic control and partial clinical remission in youth with T1D.

METHODS

Ninety-nine participants with T1D (median age 9.5 years [interquartile range 7.3, 12.9], 59.6% boys) were longitudinally followed for 3 years since diagnosis. Data at seven pre-determined time points were extracted from medical files. Outcome measures included body mass index (BMI) z-scores, muscle-to-fat ratio (MFR) z-scores, haemoglobin A1c (HbA1c) levels, continuous glucose monitoring metrics, and insulin dose-adjusted HbA1c (IDAA1c) levels.

RESULTS

The BMI z-scores increased significantly (p < 0.001) for both sexes, with no significant change in MFR z-scores over time. The girls had higher BMI z-scores (p < 0.001) and lower MFR z-scores than the boys (p = 0.016). The mean HbA1c levels decreased during the first month and at 3 months since diagnosis (p < 0.001), then plateaued and achieved a median overall HbA1c of 7.1% for the entire cohort. At 12 months, 37 participants (37.6%) were in partial clinical remission, as evidenced by IDAA1c ≤ 9. The odds of partial clinical remission at 2 years increased by 2.1-fold for each standard deviation increase in the MFR z-score (p < 0.001). Higher MFR z-scores were associated with better metabolic control.

CONCLUSIONS

Integration of body composition assessments could mitigate adverse body changes in paediatric patients with T1D.

High incidence of skin reactions secondary to the use of adhesives in glucose sensors or insulin pumps for the treatment of children with type 1 diabetes

AIMS

To evaluate the incidence of the skin reactions secondary to continuous subcutaneous insulin infusion (CSII) or continuous glucose monitoring (CGM), sensors and the characteristics of affected children with type 1 diabetes.

METHODS

An observational, retrospective, single-centre study included 198 children with type 1 diabetes, (46% girls, mean age 11.75 years). A standardised questionnaire was completed with the patient during current care to evaluate the skin reactions (mean and percentage), the type of reaction, their impact and the treatment) and the characteristics of affected children with univariate and multivariate analysis.

RESULTS

Sixty-seven children (33.8%) reported active skin reactions: 45 children with CSII (30.4%) and 46 with CGM (23.5%). Children with skin reactions were younger (mean age 10.6 yo versus 12.34 yo, p < 0.05), with a younger age at the diagnosis of diabetes (5.59 yo versus 7.08 yo, p < 0.05). Atopy was more frequent in the group with skin reactions (76.1% versus 54.1% p < 0.05). On multivariate analysis, only the personal history of atopy was associated with skin reactions: OR 2.56 [1.16-5.97] (p < 0.05).

CONCLUSION

This study confirms the high incidence of skin reactions to adhesive devices used in the treatment of type 1 diabetes in children.

A Skin Care Program to Prevent Skin Problems due to Diabetes Devices in Children and Adolescents: A Cluster-Controlled Intervention Study

OBJECTIVE

Diabetes devices that deliver insulin and measure blood glucose levels are cornerstones in modern treatment of type 1 diabetes. However, their use is frequently associated with the development of skin problems, particularly eczema and wounds. Proper skin care may prevent skin problems, yet evidence-based information from interventional studies is missing. Providing this information is the aim of this study.

RESEARCH DESIGN AND METHODS

This cluster-controlled intervention study tested the efficacy of a basic skin care program (including use of lipid cream, removal, and avoidance of disinfection). A total of 170 children and adolescents with type 1 diabetes were included and assigned either to the intervention group (n = 112) or the control group (n = 58). Participants were seen quarterly the first year after device initiation, with clinical assessment and interview in an unblinded setting.

RESULTS

Eczema or wounds were observed in 33.6% of the intervention group compared with 46.6% of control participants (absolute difference, 12.9% [95% CI -28.7%, 2.9%]; P = 0.10). The adjusted odds of wound development were decreased by 71% in the intervention compared with control group (for wounds, odds ratio 0.29 [95% CI 0.12, 0.68]; P = 0.005). In total, only eight infections were seen, without a higher frequency in the intervention group, despite advice to omit disinfection.

CONCLUSIONS

These data indicate our basic skin care program partially prevented diabetes device-induced skin reactions. However, more preventive strategies with other adhesives, patches, and/or types of lotions are needed for optimized prevention.

Real-life data of hypoglycemic events in children and adolescents with type 1 diabetes

INTRODUCTION

Hypoglycemia composes an always present risk in the treatment of type 1 diabetes (T1D) and can be a fatal complication. Many studies on hypoglycemic events are based on self-reported data or focused on the aggregated time below range. We have processed continuous glucose monitoring (CGM) data in children and adolescents with T1D in order to examine all occurring hypoglycemic events.

RESEARCH DESIGN AND METHODS

CGM data (mean 168±3 days) from 214 children and adolescents with T1D were analyzed using computer-based algorithms. Patients were divided into three groups based on estimated HbA1c (eHbA1c): (1) ≤48 mmol/mol (n=58); (2) 49-64 mmol/mol (n=113); (3) ≥65 mmol/mol (n=43). The groups were compared concerning descriptive data and CGM metrics with emphasis on the frequency of hypoglycemic events.

RESULTS

Only one self-reported event of severe hypoglycemia was registered, while 54 390 hypoglycemic events (<3.9 mmol/L (<70 mg/dL)) were identified from CGM data out of which 11 740 were serious (<3.0 mmol/L (<54 mg/dL)). On average there were 1.5±0.1 hypoglycemic events per 24 hours out of which 1.2±0.1 were mild (3.0-3.9 mmol/L) and 0.3±0.02 serious. Group 1 had a higher frequency of both total and mild hypoglycemic events compared with both groups 2 and 3. However, the frequency of serious hypoglycemic events was similar in all groups. A negative correlation was observed for eHbA1c and total daily and mild hypoglycemic events (r=-0.57 and r=-0.66, respectively, p<0.0001), whereas for serious hypoglycemic events there was only a borderline significance (r=-0.13, p=0.05).

CONCLUSIONS

This study shows that hypoglycemic events are a frequent phenomenon in children and adolescents with T1D, occurring regardless of overall metabolic control. Although patients with an HbA1c ≤48 mmol/mol had a higher frequency of mild hypoglycemic events there was no increase in serious hypoglycemic events.

Safety and user experience with off-label use of a flash glucose monitor (FreeStyle Libre® 1) among very young children with type 1 diabetes mellitus

OBJECTIVES

FreeStyle Libre 1 (FGM) has been approved by the FDA for children older than 4 years. It enables noninvasive glucose monitoring without the need for finger pricking. Parents of very young children often use the device off-label. Thus, we aimed to evaluate the safety of and user experience with FreeStyle Libre^® 1 and determine its impact on sleep and glycemic control.

METHODS

This was an ambi-directional cohort study. We recruited parents of very young children with type 1 diabetes mellitus (T1DM) who were less than 5 years old when they started using FGM at the King Saud University Diabetes Center. The parents filled out a survey evaluating their experience with the system. In addition, the glucose metrics of the children were also obtained from the Libre View system.

RESULTS

We included 31 children with mean age of the children when they started using FGM was 3.88 ± 1.10 years (range, 1.46-5.4 years), and the mean sensor use was 2.3 ± 1.3 years. During the use of the device, the parents had increased sleep duration of 0.71 h (p-value=0.04), had earlier bedtime by 2.8 h (p-value=0.04), and were able to sleep in a separate room from their children. In addition, the time in range improved by 9.9%, the time above range decreased by 8.8%, and the HbA_1c level reduced by 1.56%.

CONCLUSIONS

The safety profile of FGM used for very young children with T1DM is the same for older children, which leads to improved metabolic control and sleep quality of both the parent and the child.

Young Children with Type 1 Diabetes: Recent Advances in Behavioral Research

PURPOSE OF REVIEW

This review provides a recent update of behavioral research pertinent to young children with T1D and addresses current priorities and future directions.

RECENT FINDINGS

Rates of type 1 diabetes (T1D) in young children (ages 1-7) are continuing to rise. Since 2014, changes to diabetes care and management have impacted young children and reinforced the need for increased attention and interventions to support diabetes management, especially in caregivers who are primarily responsible for their young child's diabetes management. T1D is associated with unique physiologic challenges in young children, with constant management demands elevating parental diabetes-related stress and fear of hypoglycemia. Diabetes technology use has significantly increased in young children, contributing to improvements in glycemic levels and parent and child psychosocial functioning. Yet despite the positive outcomes demonstrated in select clinical behavioral interventions, research with this young child age group remains limited in scope and quantity.

The Impact of an Elevated Uric Acid Level on the Prevalence of Coronary Artery Disease in Pancreas Transplant Candidates with Type 1 Diabetes: A Cross Sectional Study

Pancreas transplantation is considered a high-risk surgery with cardiovascular complications. Early detection of all potential cardiovascular risk factors can decrease the perioperative risk and improve the pancreas recipients' outcome. The present study aims to evaluate the association between serum uric acid (UA) levels and the prevalence of coronary artery disease (CAD) in patients eligible for pancreas transplantation. We prospectively enrolled 63 consecutive patients with type 1 diabetes (T1D) who underwent cardiological evaluation before pancreas transplantation in our center. Participants underwent clinical evaluation, laboratory assays, and coronary angiography. The median concentration of UA in patients with CAD was significantly higher than in participants without CAD (6.43 (4.93-7.26) vs. 4.41 (3.64-5.49) mg/dL, p = 0.0002). We showed the positive correlation between UA concentration and systolic blood pressure, pulse pressure (PP) and triglycerides (r = 0.271, p = 0.032; r = 0.327, p = 0.009; r = 0.354, p = 0.004, respectively). In a multivariate analysis, the concentration of UA (OR 2.044; 95% CI: 1.261-3.311, p = 0.004) was independently associated with the prevalence of CAD in pancreas transplant candidates with T1D. We demonstrated that elevated UA levels were strongly associated with the high prevalence of CAD in pancreas transplant candidates with T1D. To stratify cardiovascular risk, the measurement of the UA concentration should be considered in all T1D patients qualified for pancreas transplantation.