Search

Aim: There is conflicting evidence about the impact of the COVID-19 pandemic on the incidence of type 1 diabetes. Here, we analysed long-term trends in the incidence of type 1 diabetes in Italian children and adolescents from 1989 to 2019 and compared the incidence observed during the COVID-19 pandemic with that estimated from long-term data., Materials and Methods: This was a population-based incidence study using longitudinal data from two diabetes registries in mainland Italy. Trends in the incidence of type 1 diabetes from 1 January 1989 to 31 December 2019 were estimated using Poisson and segmented regression models., Results: There was a significant increasing trend in the incidence of type 1 diabetes of 3.6% per year [95% confidence interval (CI): 2.4-4.8] between 1989 and 2003, a breakpoint in 2003, and then a constant incidence until 2019 (0.5%, 95% CI: -1.3 to 2.4). There was a significant 4-year cycle in incidence over the entire study period. The rate observed in 2021 (26.7, 95% CI: 23.0-30.9) was significantly higher than expected (19.5, 95% CI: 17.6-21.4; p = .010)., Conclusion: Long-term incidence analysis showed an unexpected increase in new cases of type 1 diabetes in 2021. The incidence of type 1 diabetes now needs continuous monitoring using population registries to understand better the impact of COVID-19 on new-onset type 1 diabetes in children., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Aim: To evaluate the impact of a virtual educational camp (vEC) on glucose control in children and adolescents with type 1 diabetes using a closed-loop control (CLC) system., Materials and Methods: This was a prospective multicentre study of children and adolescents with type 1 diabetes using the Tandem Basal-IQ system. Insulin pumps were upgraded to Control-IQ, and children and their parents participated in a 3-day multidisciplinary vEC. Clinical data, glucose metrics and HbA1c were evaluated over the 12 weeks prior to the Control-IQ update and over the 12 weeks after the vEC., Results: Forty-three children and adolescents (aged 7-16 years) with type 1 diabetes and their families participated in the vEC. The median percentage of time in target range (70-180 mg/dL; TIR) increased from 64% (interquartile range [IQR] 56%-73%) with Basal-IQ to 76% (IQR 71%-81%) with Control-IQ (P < .001). After the vEC, more than 75% of participants achieved a TIR of more than 70%. The percentage of time between 180 and 250 mg/dL and above 250 mg/dL decreased by 5% (P < .01) and 6% (P < .01), respectively, while the time between 70 and 54 mg/dL and below 54 mg/dL remained low and unaltered. HbA1c decreased by 0.5% (P < .01). There were no episodes of diabetic ketoacidosis or severe hypoglycaemia., Conclusions: In this study of children managing their diabetes in a real-world setting, more than 75% of children who participated in a vEC after starting a CLC system could obtain and maintain a TIR of more than 70%. The vEC was feasible and resulted in a significant and persistent improvement in TIR in children and adolescents with type 1 diabetes., (© 2021 John Wiley & Sons Ltd.)

Aim: To evaluate the incidence of insulin pump and infusion set failures in a cohort of children and adolescents with type 1 diabetes during a 1-year follow-up., Materials and Methods: Insulin pump breakdown and infusion set failures were prospectively registered in a cohort of 1046 children and adolescents from 25 tertiary pediatric diabetes centres (50% male, mean age 12.2 ± 4.1 years), with type 1 diabetes from the age of 6.7 ± 3.6 years, and using an insulin pump from the age of 3.3 ± 2.2 years., Results: An average rate of 4.5 failures/person-year was registered; the incidences (events per person-year) for each failure were 8.4 for hyperglycaemia episodes solved with infusion set change, 7 for bubbles, 2.8 for kinking, 2.4 for bleeding, 2 for set dislodge, 2 for pump blockage, 1.9 for tunnelling, 1.8 for lipohypertrophy, and 0.3 for infection. At multivariate analysis significant association between HbA1c and lipohypertrophy (P < 0.0028) was shown. Analysis by age group (<6, 6-11, >11 years) showed a higher frequency of bubbles, hyperglycaemia episodes and lipohypertrophy in preschoolers; tunnelling and pump blockage were more frequent in adolescents. Aspart was associated with a lower risk of bubbles and hyperglycaemia whereas glulisine was associated with a higher risk of lipohypertrophy and pump blockage. The usage of oblique cannula was associated with a low risk of all failures except infections., Conclusions: This prospective 1-year study on a large cohort of Italian children and adolescents with type 1 diabetes using insulin pump therapy showed a low total failure rate, highlighting the importance of continuous education to reduce failures. Lipohypertrophy was the only issue associated with a worsening of metabolic control., (© 2018 John Wiley & Sons Ltd.)

Aims: To evaluate physicians' adjustments of insulin pump settings based on continuous glucose monitoring (CGM) for patients with type 1 diabetes and to compare these to automated insulin dose adjustments., Methods: A total of 26 physicians from 16 centres in Europe, Israel and South America participated in the study. All were asked to adjust insulin dosing based on insulin pump, CGM and glucometer downloads of 15 patients (mean age 16.2 ± 4.3 years, six female, mean glycated haemoglobin 8.3 ± 0.9% [66.8 ± 7.3 mmol/mol]) gathered over a 3-week period. Recommendations were compared for the relative changes in the basal, carbohydrate to insulin ratio (CR) and correction factor (CF) plans among physicians and among centres and also between the physicians and an automated algorithm, the Advisor Pro (DreaMed Diabetes Ltd, Petah Tikva, Israel). Study endpoints were the percentage of comparison points for which there was full agreement on the trend of insulin dose adjustments (same trend), partial agreement (increase/decrease vs no change) and full disagreement (opposite trend)., Results: The percentages for full agreement between physicians on the trend of insulin adjustments of the basal, CR and CF plans were 41 ± 9%, 45 ± 11% and 45.5 ± 13%, and for complete disagreement they were 12 ± 7%, 9.5 ± 7% and 10 ± 8%, respectively. Significantly similar results were found between the physicians and the automated algorithm. The algorithm magnitude of insulin dose change was at least equal to or less than that proposed by the physicians., Conclusions: Physicians provide different insulin dose recommendations based on the same datasets. The automated advice of the Advisor Pro did not differ significantly from the advice given by the physicians in the direction or magnitude of the insulin dosing., (© 2018 John Wiley & Sons Ltd.)