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The aim of this study was to assess accuracy of the three most commonly used continuous glucose monitoring (CGM) systems in almost real‐life situation during a diabetes camp in children with type 1 diabetes (T1D) aged 9–14 years. Data was gathered during a 2‐week summer camp under physicians' supervision. Out of 38 participating children with T1D (aged: 11.0 [9.9; 12.1] years; 57% girls, mean HbA1c 7.2 [6.9; 7.7] %,) 37 wore a CGM system (either Abbott FreeStyle Libre (FSL), Dexcom G6 (DEX) or Medtronic Enlite (ENL)) throughout the camp. All concomitantly available data pairs of capillary glucose measurements and sensor values were used for the analysis. Mean absolute relative difference (MARD) was calculated and Parkes Error Grid analyses were done for all three systems used. In total 2079 data pairs were available for analysis. The overall MARDs of CGM systems used at the camp was FSL: 13.3% (6.7;21.6). DEX: 10.3% (5.8; 16.7) and ENL 8.5% (3.6; 15.6). During eu‐, hypo‐ and hyperglycemia MARDs were lowest in ENL. Highest MARDs were seen in hypoglycemia, where all three systems exhibited MARDs above 15%. Overnight MARDs of all systems was higher than during daytime. All sensors performed worst in hypoglycemia. Performance of the adequately calibrated Medtronic system outperformed the factory‐calibrated sensors. For clinical practice, it is important to adequately train children with T1D and families in the correct procedures for sensors that require calibrations.

Introduction To investigate the glycaemic response, macronutrient intake and insulin management in people with type 1 diabetes (T1D) compared to healthy individuals around a running competition. Material and methods This was a single-centre, prospective, controlled observational study performed in individuals with T1D and healthy people. 24 people (12 T1D) were included in this study (age: T1D 41±12 vs. healthy 38±6 years, females: 3 vs. 6, BMI: 25.53.0 vs. 22.9±2.8 kg/m 2). Both groups received an intermittently scanned continuous glucose monitoring (isCGM; Free-Style Libre 1, Abbott, USA) system to assess glycaemia 24 hours before, during and 24 hours after a running competition. During this period, participants recorded their food intake and insulin administration. Data were analysed via ANOVA and mixed model analyses with post-hoc testing (p�0.05). Results For overall glycaemic ranges in comparison of groups, significant differences were found for time in range (T1D 63±21% vs. healthy 89±13%, p = 0.001), time above range (TAR) 1 (T1D 21±15% vs. healthy 0±0%, p<0.001) and TAR 2 (T1D 8 [0-16%] vs. healthy 0±0%, p<0.001). When glycaemic variability was assessed, people with T1D had a higher glycaemic variability compared to healthy individuals (p<0.0001). Basal insulin dose was

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Vaccination and potentially related side effects might impact glucose management in people with diabetes. In this study, we investigated effects of COVID-19 vaccination on glycemia assessed by continuous glucose monitoring (CGM) in people with type 1 and type 2 diabetes. <br> 74 participants of the ongoing multicenter prospective COVAC-DM-study, investigating the immune response to COVID-19 vaccines in people with diabetes, were willing to participate in this CGM sub-study. Time spent in glycemic ranges (time in range [TIR] 70-180 mg/dL; time below range [TBR] <70 mg/dL and time above range [TAR] >180 mg/dL) was assessed daily from two days prior to three days after the first COVID-19 vaccination. Participants were asked to document side effects in response to vaccination, insulin injections, and carbohydrate intake.<br> 58 participants with type 1 (27 female, mean age 39.5 years, HbA1c 57 ± 12 mmol/mol) and 16 with type 2 diabetes (9 females, mean age 60.6 years, HbA1c 63 ± 11mmol/mol) were included in this study. The mean TIR did not change on the day of the vaccination and the following 3 days (p>0.05). In people with type 1 diabetes, the TIR (p=0.033) and the TAR (p= 0.043) deteriorated on days with side effects as compared to those without. <br> Side effects occurring after COVID-19 vaccination significantly reduce the TIR and increase the TAR in people with type 1 diabetes, while no impact was observed in people with type 2 diabetes.