Background There are several observations that the onset of coronavirus 19 (COVID‐19) pandemic was associated with an increase in the incidence of diabetic ketoacidosis (DKA). However, due to heterogeneity in study designs and country‐specific healthcare policies, more national‐level evidence is needed to provide generalizable conclusions. Objective To compare the rate of DKA in Polish children diagnosed with type 1 diabetes (T1D) between the first year of COVID‐19 pandemic (15 March 2020 to 15 March 2021) and the preceding year (15 March 2019 to 15 March 2020). Methods Reference centers in 13 regions (covering ~88% of Polish children) retrospectively reported all new‐onset T1D cases in children from assessed periods, including DKA status at admission, administered procedures and outcomes. Secondly, we collected regions' demographic characteristics and the daily‐reported number of COVID‐19‐related deaths in each region. Results We recorded 3062 cases of new‐onset T1D (53.3% boys, mean age 9.5 ± 4.3 years old) of which 1347 (44%) had DKA. Comparing pre‐ and post‐COVID‐19 period, we observed a significant increase in the rate of DKA (37.5%–49.4%, p < .0001). The fraction of moderate (+5.4%) and severe (+3.4%) DKA cases increased significantly ( p = .0089), and more episodes required assisted ventilation (+2.1%, p = .0337). Two episodes of DKA during 2020/2021 period were fatal. By region, change in DKA frequency correlated with initial COVID‐19 death toll (March/April 2020) ( R = .6, p = .0287) and change in T1D incidence ( R = .7, p = .0080). Conclusions The clinical picture of new‐onset children T1D in Poland deteriorated over a 2‐year period. The observed increase in the frequency of DKA and its severity were significantly associated with the overlapping timing of the COVID‐19 epidemic.

BackgroundInformation on the influence of insulin treatment using advanced hybrid closed loop systems (AHCL) on body weight of young patients with type 1 diabetes (T1D) is scarce. The aim of this study was to observe whether there were any changes in body mass index (BMI) of children and adolescents with T1D treated using the Medtronic Minimed 780G AHCL after 1 year of follow up and to analyze potential associations between these changes and the insulin doses.Materials and methodsFor 50 children and adolescents (age 5.4-16.8 years, 24 (48%) boys, T1D for 3.9 ± 2.56 years) using an AHCL system anthropometric and AHCL data were collected prospectively. BMI Z-scores and two-week AHCL records obtained after AHCL enrollment were compared with data after 6 months and also 1 year after starting AHCL.ResultsThe BMI Z-score of the patients at 1 year follow-up did not change from time of AHCL initiation (0.51 ± 2.79 vs 0.57 ± 2.85, p&gt;0.05). There was a slight increase in total daily insulin per kg of body weight (0.67 ± 0.21 U/kg vs 0.80 ± 0.21 U/kg, p &lt;0.001), but the percent of basal insulin was unchanged (34.88 ± 6.91% vs 35.08 ± 6.30%, p&gt;0.05). We observed also no change (AHCL start vs after 1 year) in glycemic control parameters: average sensor glucose (131.36± 11.04 mg/dL vs 132.45 ± 13.42 mg/dL, p&gt;0.05), coefficient of variation (34.99± 5.17% vs 34.06 ± 5.38%, p&gt;0.05), glucose management indicator (6.45 ± 0.26% vs 6.48 ± 0.32%, p&gt;0.05), and time spent in the range of 70–180 mg/dL (79.28 ± 8.12% vs 80.40 ± 8.25%, p&gt;0.05).ConclusionDuring the 1 year of follow-up the BMI of children and adolescents with T1D treated with an AHCL system remained stable. Although there was a slight increase in the total daily insulin dose, the percent of basal insulin was unchanged. The patients maintained recommended glycemic control.

Technological progress in the treatment of type 1 diabetes requires doctors to use modern methods of insulin therapy in all areas of medicine that patients may come into contact with, including surgical interventions. The current guidelines indicate the possibility of using continuous subcutaneous insulin infusion in minor surgical procedures, but there are few reported cases of using a hybrid closed-loop system in perioperative insulin therapy. This case presentation focuses on two children with type 1 diabetes who were treated with an advanced hybrid closed-loop (AHCL) system during a minor surgical procedure. In the periprocedural period, the recommended mean glycemia and the time in range were maintained.

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.

Quality of life (QoL) is an important parameter that affects the choice of therapy. Assessment of QoL and satisfaction with therapy using the rtCGM in children with T1D aged < 7 years was conducted. The study group consisted of 38 children with T1D aged < 7 years (34% aged 2–4, 66% aged 5–7 years), HbA1c: 6.53 ± 0.63%, duration of diabetes: 2.6 ± 1.6 years, treated with an rtCGM-augmented insulin pump for 1.92 ± 1.15 years. Two anonymous surveys were conducted: a. PedsQL3.0 diabetes standardized questionnaire—QoL assessment among age groups: 2–4/5–7 years. b. An original survey assessing the CGM use satisfaction. The mean scores in PedsQL3.0: communication 75%, worries 30%, treatment 70%, and problems associated with diabetes 65%. The QoL scale is: 0–19% very low, 20–39% low, 40–59% moderate, 60–79% high, 80–100% very high. The most frequently reported concerns were long-term diabetes complications and prick pain. Satisfaction with CGM use was high (68% in group aged 5–7 and 92% 2–4 years). Twenty-seven (71%) caregivers confirmed the positive effect of CGM on sleep. During the use of rtCGM a high quality of life was reported, and the quality of sleep in their caregivers was increased.

Introduction The higher frequency of infections in diabetic patients is caused by a hyperglycemic environment, which promotes immune dysfunction. People with diabetes are more prone to skin infections. A continuous glucose monitoring (CGM) system provides information on changes in blood glucose (BG) levels throughout the day. Its use facilitates optimal therapeutic decisions for a diabetic patient. One of the factors limiting the use of CGM is inflammation at the insertion site. Aim of the study The aim of the study was the microbiological identification of the bacterial strains which are found on CGM sensor electrodes. Material and methods We performed microbiological tests on patients′ CGM Enlite Medtronic electrodes, which were removed after 6 days of usage according to the manufacturer′s instructions. 31 sensors were examined from 31 children (14 girls) aged from 0.5 to 14.6 years. The microbiological analysis was routinely performed at the Department of Children’s Diabetology Medical University of Silesia in Katowice, Poland. Results 12 (39%) of the electrodes were colonized. In 11 (92%) cases the electrodes were colonized by one bacteria strain. 7 times methicillin-sensitive coagulase negative staphylococcus (MSCNS) was detected. We also found one case of Klebsiella pneumoniae, Ochrobactrum tritici, Bacillus sonorensis and methicillin-resistant coagulase-negative Staphylococci (MRCNS) colonization. One electrode was colonized by the mixed flora Enterococcus faecalis, methicillin-susceptible coagulase-negative Staphylococci (MSCNS), Pseudomonas stutzeri, methicillin-susceptible Staphylococcus aureus (MSSA). The median HbA1c in the group with colonization of electrodes was 6, 85% (6, 3–7, 6%) versus 6, 3% (5, 8–7, 5%) in the group without colonization. The median BMI in the group with colonization of the electrodes was 17.10 kg/m2 (16.28–18.62 kg/m2) versus 15.98 kg/m2 (15.14–17.96 kg/m2) in the group without colonization. Statistically, significantly more frequently electrodes are colonized in older children (median age in the group with colonization of electrodes 11.43 years (6.52–12.27 years), without colonization 8.42 years. (3.098–9.375 years); (p = 0.033). Conclusions It seems that older children are more likely to have their sensor electrode colonized by bacterial strains.

Discontinuation of type 1 diabetes (T1DM) treatment (interruption of insulin therapy) rapidly leads to diabetic ketoacidosis (DKA) which is a life-threatening condition. Our case report is intended to draw attention to persons with T1DM and significant social/ psychological problems. They typically, due to the lack of legal regulations, "fall out of the system", which should provide in such cases additional assistance in care conditioning proper treatment. Psychological an psychiatric disorders and/or social problems may interfere with self-control and diabetes treatment, making it difficult or even impossible. These patients represent a significant challenge for the diabetes team and require individualized management from the social care system. Patient safety-focused support from consulting physicians of other specialties is also essential. The case of our patient highlights the need for relevant legal and administrative regulations that would allow for quick, safe and adequate care.

OBJECTIVE The prevalence of hypertension is higher in children and adolescents with type 1 diabetes (T1D) compared with those without. This retrospective analysis of a large cohort of children and adolescents with T1D from the SWEET (Better control in Pediatric and Adolescent diabeteS: Working to crEate CEnTers of Reference) international consortium of pediatric diabetes centers aimed to 1) estimate the prevalence of elevated office blood pressure (BP) and hypertension and 2) investigate the influence of BP measurement methodology on the prevalence of hypertension. RESEARCH DESIGN AND METHODS A total of 27,120 individuals with T1D, aged 5–18 years, were analyzed. Participants were grouped into those with BP measurements at three or more visits (n = 10,440) and fewer than 3 visits (n = 16,680) per year and stratified by age and sex. A subgroup analysis was performed on 15,742 individuals from centers providing a score indicating BP measurement accuracy. RESULTS Among participants with BP measurement at three or more visits, the prevalence of hypertension was lower compared with those with fewer than three visits (10.8% vs. 17.5% P &lt; 0.001), whereas elevated BP and normotension were higher (17.5% and 71.7% vs. 15.3% and 67.1%, respectively; both P &lt; 0.001). The prevalence of hypertension and elevated BP was higher in individuals aged ≥13 years than in younger ones (P &lt; 0.001) and in male than female participants (P &lt; 0.001). In linear regression models, systolic and diastolic BP was independently determined by the BP measurement methodology. CONCLUSIONS The estimated prevalence of elevated BP and hypertension in children and adolescents with T1D is ∼30% and depends on the BP measurement methodology. Less frequent BP evaluation may overestimate the prevalence of hypertension.