Satisfaction with continuous glucose monitoring is associated with quality of life in young people with type 1 diabetes regardless of metabolic control and treatment type.

AIMS: While continuous glucose monitoring (CGM) and associated technologies have positive effects on metabolic control in young people with type 1 diabetes (T1D), less is known about their impact on quality of life (QoL). Here, we quantified CGM satisfaction and QoL in young people with T1D and their parents/caregivers to establish (i) the relationship between QoL and CGM satisfaction and (ii) the impact of the treatment regimen on QoL. METHODS: This was a cross-sectional study of children and adolescents with T1D on different treatment regimens (multiple daily injections, sensor-augmented pumps and automated insulin delivery). QoL was assessed with the KINDL instrument, and CGM satisfaction with the CGM-SAT questionnaire was evaluated in both youths with T1D and their parents. RESULTS: Two hundred and ten consecutively enrolled youths with T1D completed the KINDL and CGM-SAT questionnaires. The mean total KINDL score was greater than neutral in both subjects with T1D (3.99 ± 0.47) and parents (4.06 ± 0.40), and lower overall CGM-SAT scores (i.e., higher satisfaction) were significantly associated with higher QoL in all six KINDL subscales (p < 0.05). There were no differences in KINDL scores according to delivery technology or when participants were grouped according to optimal and sub-optimal glucose control. CONCLUSIONS: Higher satisfaction with recent CGMs was associated with better QoL in all dimensions. QoL was independent of both the insulin delivery technology and glycaemic control. CGM must be further disseminated. Attention on perceived satisfaction with CGM should be incorporated with the clinical practice to improve the well-being of children and adolescents with T1D and their families.

Trends and cyclic variation in the incidence of childhood type 1 diabetes in two Italian regions over 33 years and during the COVID-19 pandemic.

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.

International comparison of glycaemic control in people with type 1 diabetes: an update and extension.

AIMS: To update and extend a previous cross-sectional international comparison of glycaemic control in people with type 1 diabetes. METHODS: Data were obtained for 520,392 children and adults with type 1 diabetes from 17 population and five clinic-based data sources in countries or regions between 2016 and 2020. Median HbA1c (IQR) and proportions of individuals with HbA1c < 58 mmol/mol (<7.5%), 58-74 mmol/mol (7.5-8.9%) and ≥75 mmol/mol (≥9.0%) were compared between populations for individuals aged <15, 15-24 and ≥25 years. Logistic regression was used to estimate the odds ratio (OR) of HbA1c < 58 mmol/mol (<7.5%) relative to ≥58 mmol/mol (≥7.5%), stratified and adjusted for sex, age and data source. Where possible, changes in the proportion of individuals in each HbA1c category compared to previous estimates were calculated. RESULTS: Median HbA1c varied from 55 to 79 mmol/mol (7.2 to 9.4%) across data sources and age groups so a pooled estimate was deemed inappropriate. OR (95% CI) for HbA1c < 58 mmol/mol (<7.5%) were 0.91 (0.90-0.92) for women compared to men, 1.68 (1.65-1.71) for people aged <15 years and 0.81 (0.79-0.82) aged15-24 years compared to those aged ≥25 years. Differences between populations persisted after adjusting for sex, age and data source. In general, compared to our previous analysis, the proportion of people with an HbA1c  < 58 mmol/l (<7.5%) increased and proportions of people with HbA1c ≥ 75 mmol/mol (≥9.0%) decreased. CONCLUSIONS: Glycaemic control of type 1 diabetes continues to vary substantially between age groups and data sources. While some improvement over time has been observed, glycaemic control remains sub-optimal for most people with Type 1 diabetes.

Differences in retinopathy prevalence and associated risk factors across 11 countries in three continents: A cross-sectional study of 156,090 children and adolescents with type 1 diabetes.

OBJECTIVE: To examine the prevalence, time trends, and risk factors of diabetic retinopathy (DR) among youth with type 1 diabetes (T1D) from 11 countries (Australia, Austria, Denmark, England, Germany, Italy, Luxemburg, Netherlands, Slovenia, United States, and Wales). SUBJECTS AND METHODS: Data on individuals aged 10-21 years with T1D for >1 year during the period 2000-2020 were analyzed. We used a cross-sectional design using the most recent year of visit to investigate the time trend. For datasets with longitudinal data, we aggregated the variables per participant and observational year, using data of the most recent year to take the longest observation period into account. DR screening was performed through quality assured national screening programs. Multiple logistic regression models adjusted for the year of the eye examination, age, gender, minority status, and duration of T1D were used to evaluate clinical characteristics and the risk of DR. RESULTS: Data from 156,090 individuals (47.1% female, median age 15.7 years, median duration of diabetes 5.2 years) were included. Overall, the unadjusted prevalence of any DR was 5.8%, varying from 0.0% (0/276) to 16.2% between countries. The probability of DR increased with longer disease duration (aORper-1-year-increase  = 1.04, 95% CI: 1.03-1.04, p < 0.0001), and decreased over time (aORper-1-year-increase  = 0.99, 95% CI: 0.98-1.00, p = 0.0093). Evaluating possible modifiable risk factors in the exploratory analysis, the probability of DR increased with higher HbA1c (aORper-1-mmol/mol-increase-in-HbA1c  = 1.03, 95% CI: 1.03-1.03, p < 0.0001) and was higher among individuals with hypertension (aOR = 1.24, 95% CI: 1.11-1.38, p < 0.0001) and smokers (aOR = 1.30, 95% CI: 1.17-1.44, p < 0.0001). CONCLUSIONS: The prevalence of DR in this large cohort of youth with T1D varied among countries, increased with diabetes duration, decreased over time, and was associated with higher HbA1c, hypertension, and smoking.

Health care organization and use of technological devices in people with diabetes in Italy: Results from a survey of the Working Group on Diabetes and Technology.

BACKGROUND AND AIM: The use of technology offers recognized benefits to persons with diabetes. The aim of this study was to evaluate the organization of healthcare facilities, the composition of the diabetes team, and the use of Continuous Subcutaneous Insulin Infusion (CSII) and Continuous Glucose Monitoring (CGM) in Italy. METHODS AND RESULTS: Diabetes care centers were asked to complete a web survey based on information collected in 2018. Sixty-one pediatric and 243 adult centers participated in the survey, accounting for 507,386 patients, mostly with type 2 diabetes (86.4%). Fifty-three percent of pediatric centers and 11% of adult centers reported a team composed of diabetologists, nurses, and psychologists. Overall, 13,204 patients (2.6%) were using CSII (95% with type 1 diabetes), and 28,936 (5.7%), were using CGM (74% with type 1 diabetes). When stratifying for the type of diabetes, 24% and 40.8% of patients with type 1 were using CSII and CGM, respectively, whereas low use of technology was reported for patients with type 2 and women with gestational diabetes. The percentage of adult and pediatric patients with type 1 diabetes on CSII and CGM was respectively 21% and 32%, and 35% and 57%. CONCLUSIONS: The spread of CGM and CSII increased in Italy between 2013 and 2018. However, the percentage of users is still lower than what is expected based on clinical indications for use of technology. The inadequate number of professionals in the diabetes care team and insufficient economic resources are relevant barriers to disseminating technology for diabetes management.

Isolated childhood growth hormone deficiency: a 30-year experience on final height and a new prediction model.

PURPOSE: We aimed to evaluate the near-final height (nFHt) in a large cohort of pediatricpatients with growth hormone deficiency (GHD) and to elaborate a new predictive method of nFHt. METHODS: We recruited GHD patients diagnosed between 1987 and 2014 and followed-up until nFHt. To predict the values of nFHt, each predictor was run in a univariable spline. RESULTS: We enrolled 1051 patients. Pre-treatment height was -2.43 SDS, lower than parental height (THt) (-1.09 SDS, p < 0.001). The dose of recombinant human GH (rhGH) was 0.21mg/kg/week at start of treatment. nFHt was -1.08 SDS (height gain 1.27 SDS), higher than pre-treatment height (p < 0.001) and comparable to THt. 1.6% of the patients were shorter than -2 SDS from THt. The rhGH dose at nFHt was 0.19 mg/kg/week, lower than at the start (p < 0.001). The polynomial regression showed that nFHt was affected by gender, THt, age at puberty, height at puberty, age at the end of treatment (F = 325.37, p < 0.0001, R2 87.2%). CONCLUSION: This large national study shows that GHD children can reach their THt. The rhGH/kg/day dose significantly decreased from the start to the end of the treatment. Our model suggests the importance of a timely diagnosis, possibly before puberty, the beneficial effect of long-term treatment with rhGH, and the key-role of THt. Our prediction model has a very acceptable error compared to the majority of other published studies.

Effectiveness of a closed-loop control system and a virtual educational camp for children and adolescents with type 1 diabetes: A prospective, multicentre, real-life study.

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.

Children and youth with diabetes are not at increased risk for hospitalization due to COVID-19.

The severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2), responsible for the coronavirus disease COVID-19, was first identified in Wuhan, China in December 2019. Diabetes, as well as other cardiovascular comorbidities, has been recognized as a major risk factor for outcomes and mortality in adults with COVID-19, particularly in the elderly with type 2 diabetes. Based on these conclusions, COVID-19 data on adults have been generalized to youth with diabetes. Nevertheless, experience from pediatric diabetes practices in China (Wuhan), Italy, Spain (Catalonia), and the United States (San Francisco Bay Area) consistently report only a single severe case of COVID-19 in a 20-year-old female youth with type 1 diabetes (T1D) that was hospitalized for bilateral pneumonia and was subsequently discharged without complications. In Italy, information on COVID-19 in all children with diabetes is collected on a weekly basis and those with positive swab test or infection-related symptoms reported to a dedicated national registry. Of a total of 15 500 children tested, 11 subjects with T1D (age 8-17y) tested positive for COVID-19; 6/11 were asymptomatic and the rest presented with mild symptoms. In the rest of locations, youths with T1D diagnosed with COVID-19 were based on clinical suspicion and a confirmatory PCR test (Wuhan:0; Catalonia-HSJD:3; California-Stanford:2). All of them were asymptomatic or had a mild course. We suggest that COVID-19 data from adults should not be generalized to children, adolescents, and youth with diabetes as their outcomes and prognosis seem to be similar to their non-diabetic-peers and consistently milder than adults with diabetes.

Albuminuric and non-albuminuric reduced eGFR phenotypes in youth with type 1 diabetes: Factors associated with cardiometabolic risk.

BACKGROUND AND AIM: Albuminuria and reduced eGFR are hallmarks of Diabetic Kidney Disease in adults. Our aim was to analyze factors associated with albuminuric and non-albuminuric mildly reduced eGFR phenotypes in youths with type 1 diabetes. METHODS AND RESULTS: This multicenter cross-sectional study included 1549 youths (age 5-17 years) with type 1 diabetes enrolled at 14 Italian Pediatric Diabetes Centers. Albuminuria, creatinine, glycosylated hemoglobin (HbA1c), lipids, blood pressure (BP), neutrophils (N) and lymphocytes (L) count were analyzed. Uric acid (UA) was available in 848 individuals. Estimated GFR (eGFR) was calculated using bedside Schwartz's equation. The sample was divided in three phenotypes: 1) normoalbuminuria and eGFR ≥90 mL/min/1.73 m2 (reference category, n = 1204), 2) albuminuric and normal GFR phenotype (n = 106), 3) non-albuminuric mildly reduced GFR (MRGFR) phenotype (eGFR 60-89 mL/min/1.73 m2, n = 239). Albuminuric and non-albuminuric reduced eGFR phenotypes were significantly associated with autoimmune thyroiditis (P =0.028 and P=0.044, respectively). Albuminuric phenotype showed high risk of high HbA1c (P=0.029), high BP (P < 0.001), and low HDL-C (P =0.045) vs reference category. Non-albuminuric MRGFR phenotype showed high risk of high BP (P < 0.0001), low HDL-C (P =0.042), high Triglycerides/HDL-C ratio (P =0.019), and high UA (P < 0.0001) vs reference category. CONCLUSION: Non albuminuric MRGFR phenotype is more prevalent than albuminuric phenotype and shows a worst cardiometabolic risk (CMR) profile). Both phenotypes are associated with autoimmune thyroiditis. Our data suggest to evaluate both albuminuria and eGFR earlier in type 1 diabetes to timely identify young people with altered CMR profile.

Temporal trends in diabetic ketoacidosis at diagnosis of paediatric type 1 diabetes between 2006 and 2016: results from 13 countries in three continents.

AIMS/HYPOTHESIS: The aim of this work was to evaluate geographical variability and trends in the prevalence of diabetic ketoacidosis (DKA), between 2006 and 2016, at the diagnosis of childhood-onset type 1 diabetes in 13 countries over three continents. METHODS: An international retrospective study on DKA at diagnosis of diabetes was conducted. Data on age, sex, date of diabetes diagnosis, ethnic minority status and presence of DKA at diabetes onset were obtained from Australia, Austria, Czechia, Denmark, Germany, Italy, Luxembourg, New Zealand, Norway, Slovenia, Sweden, USA and the UK (Wales). Mean prevalence was estimated for the entire period, both overall and by country, adjusted for sex and age group. Temporal trends in annual prevalence of DKA were estimated using logistic regression analysis for each country, before and after adjustment for sex, age group and ethnic minority status. RESULTS: During the study period, new-onset type 1 diabetes was diagnosed in 59,000 children (median age [interquartile range], 9.0 years [5.5-11.7]; male sex, 52.9%). The overall adjusted DKA prevalence was 29.9%, with the lowest prevalence in Sweden and Denmark and the highest in Luxembourg and Italy. The adjusted DKA prevalence significantly increased over time in Australia, Germany and the USA while it decreased in Italy. Preschool children, adolescents and children from ethnic minority groups were at highest risk of DKA at diabetes diagnosis in most countries. A significantly higher risk was also found for females in Denmark, Germany and Slovenia. CONCLUSIONS/INTERPRETATION: DKA prevalence at type 1 diabetes diagnosis varied considerably across countries, albeit it was generally high and showed a slight increase between 2006 and 2016. Increased awareness of symptoms to prevent delay in diagnosis is warranted, especially in preschool children, adolescents and children from ethnic minority groups.

Unintended Consequences of Coronavirus Disease-2019: Remember General Pediatrics.

Coronavirus diease-2019 has disrupted pediatric healthcare. Observation of public health principles are vital. However, coronavirus diease-2019 has had unintended consequences on standard pediatric care. We describe cases of delayed diagnosis of diabetes leading to severe diabetic ketoacidosis; our aim is to highlight the need to apply basic pediatric principles for optimal care.

Blood pressure measurement methodology and technology in the SWEET diabetes centers: An international SWEET database survey.

INTRODUCTION: The accuracy of blood pressure (BP) measurement is a prerequisite for the reliable diagnosis and management of hypertension. OBJECTIVES: This survey evaluated the use of office and out-of-office BP measurements and the antihypertensive pharmacological treatment in expert pediatric diabetes centers. METHODS: A questionnaire was distributed in 78 reference pediatric diabetes centers of the SWEET international consortium. The methodology, devices, indications, and interpretation of office BP measurements (OBPM), 24-hour ambulatory BP monitoring (ABPM) and home BP monitoring (HBPM), and the preference for antihypertensive drug treatment was assessed. A grading score was developed to evaluate centers for overall BP measurement performance. RESULTS: Fifty-two centers responded. The average score for OBPM methodology was 72.5%, for technology 77.5% and the overall center score was 74.75%.The majority of the centers used appropriate methodology and technology, however, there was heterogeneity among them. Manual auscultatory or automated devices specifically validated for children were used by 26/52 centers. ABPM was recommended by 35/52 centers (27/35 had health insurance coverage) and HBPM by 18/52 centers. The BP measurement methodology and devices used for ABPM and HBPM were frequently inadequate. Angiotensin converting enzyme inhibitors were the most frequently prescribed drugs for treating hypertension. CONCLUSIONS: The majority of SWEET pediatric diabetes centers use adequate methodology and devices for BP measurement. ABPM is recommended by two thirds of the centers, whereas HBPM is less widely used. Further improvement in the quality of office and out-of-office BP measurements and harmonization among centers is necessary according to current guidelines.

Cardiovascular risk factors in children and adolescents with type 1 diabetes in Italy: a multicentric observational study.

AIMS: To assess the prevalence of cardiovascular risk factors (CVRFs) and to identify the variables associated with CVRFs in a cohort of children and adolescents with Type 1 Diabetes. METHODS: 2021 subjects, 2-18 year-old, were recruited in 17 Italian Pediatric Diabetes Centers. Anthropometric, blood pressure, biochemical (HbA1c, lipid profile, ACR), insulin therapy, physical activity level, smoking and family socio-economic status data were collected. CVRFs prevalence and their distribution were analyzed according to age and binary logistic regression was performed with positivity for at least one major CVRF (BMI-SDS > +2SD, blood pressure > 90th percentile, LDL cholesterol>100 mg/dL) as dependent variable and age, duration of illness, gender, HbA1c and physical activity, as independent variables. RESULTS: The prevalence of CVFRs not at the recommended target was respectively: 32.5% one CVRF, 6.7% two CVRFs and 0.6% three CVRFs, with no significant differences across the 3 age groups (2-10, 10-15, 15-18 years). In the total sample, HbA1c and inadequate physical activity were associated with a higher probability of having at least one major CVRF. This probability was associated with physical activity in the 2-10-year-old group, with physical activity and HbA1c in the 10-15-year-old group and with HbA1c only in subjects older than 15 years. CONCLUSIONS: More than 30% of subjects had at least a major CVRF. Early detection of CVRFs may be useful to enforce the therapeutic intervention in this subgroup, in order to reduce the risk to develop cardiovascular complications.

Trends and cyclical variation in the incidence of childhood type 1 diabetes in 26 European centres in the 25 year period 1989-2013: a multicentre prospective registration study.

AIMS/HYPOTHESIS: Against a background of a near-universally increasing incidence of childhood type 1 diabetes, recent reports from some countries suggest a slowing in this increase. Occasional reports also describe cyclical variations in incidence, with periodicities of between 4 and 6 years. METHODS: Age/sex-standardised incidence rates for the 0- to 14-year-old age group are reported for 26 European centres (representing 22 countries) that have registered newly diagnosed individuals in geographically defined regions for up to 25 years during the period 1989-2013. Poisson regression was used to estimate rates of increase and test for cyclical patterns. Joinpoint regression software was used to fit segmented log-linear relationships to incidence trends. RESULTS: Significant increases in incidence were noted in all but two small centres, with a maximum rate of increase of 6.6% per annum in a Polish centre. Several centres in high-incidence countries showed reducing rates of increase in more recent years. Despite this, a pooled analysis across all centres revealed a 3.4% (95% CI 2.8%, 3.9%) per annum increase in incidence rate, although there was some suggestion of a reduced rate of increase in the 2004-2008 period. Rates of increase were similar in boys and girls in the 0- to 4-year-old age group (3.7% and 3.7% per annum, respectively) and in the 5- to 9-year-old age group (3.4% and 3.7% per annum, respectively), but were higher in boys than girls in the 10- to 14-year-old age group (3.3% and 2.6% per annum, respectively). Significant 4 year periodicity was detected in four centres, with three centres showing that the most recent peak in fitted rates occurred in 2012. CONCLUSIONS/INTERPRETATION: Despite reductions in the rate of increase in some high-risk countries, the pooled estimate across centres continues to show a 3.4% increase per annum in incidence rate, suggesting a doubling in incidence rate within approximately 20 years in Europe. Although four centres showed support for a cyclical pattern of incidence with a 4 year periodicity, no plausible explanation for this can be given.

Incidence of severe hypoglycemia and possible associated factors in pediatric patients with type 1 diabetes in the real-life, post-Diabetes Control and Complications Trial setting: A systematic review.

BACKGROUND/OBJECTIVE: In 1993, the Diabetes Control and Complications Trial (DCCT) found that intensive antihyperglycemic therapy was effective in the primary and secondary prevention of microvascular complications in patients with type 1 diabetes (T1D) but was associated with a 3-fold greater rate of severe hypoglycemia (SH) than conventional therapy. The aim of this analysis was to determine whether, in the real-world setting, the incidence of SH in pediatric patients with T1D has changed since 1993. METHODS: A systematic literature search of PubMed for prospective or retrospective observational studies (≥250 participants) on SH epidemiology or related topics in pediatric patients with T1D, published between October 1993 and June 2016, identified 35 articles (involving >55 000 participants). SH incidence data were analyzed in approximate 5-year blocks: 1993-2000, 2001-2005, 2006-2010, and 2011-2016. Information on factors that might influence the incidence of SH was also collected. RESULTS: A trend for a marked reduction in the incidence of SH in the post-DCCT setting (from 62.0 per 100 patient-years to 1.21-30 per 100 patient-years) was apparent. Factors that could have influenced this temporal trend in SH incidence included the increased use of new types of, and methods of administering, insulin, in particular rapid-acting insulin analogs and continuous subcutaneous insulin infusion. CONCLUSIONS: SH in pediatric patients with T1D has declined in incidence since the DCCT but remains a common problem. The optimal use of new insulin therapies/regimens/technologies, improved education, and dedicated specialized management teams are needed to help reduce the risk of SH in this population.

Persistent heterogeneity in diabetes technology reimbursement for children with type 1 diabetes: The SWEET perspective.

BACKGROUND: Frequent use of modern diabetes technologies increases the chance for optimal type 1 diabetes (T1D) control. Limited reimbursement influences the access of patients with T1D to these modalities and could worsen their prognosis. We aimed to describe the situation of reimbursement for insulins, glucometers, insulin pumps (CSII) and continuous glucose monitoring (CGM) for children with T1D in European countries participating in the SWEET Project and to compare data from EU countries with data from our previous study in 2009. METHODS: The study was conducted between March 2017 and August 2017. First, we approached diabetes technology companies with a survey to map the reimbursement of insulins and diabetic devices. The data collected from these companies were then validated by members of the SWEET consortium. RESULTS: We collected data from 29 European countries, whereas all types of insulins are mostly fully covered, heterogeneity was observed regarding the reimbursement of strips for glucometers (from 90 strips/month to no limit). CSII is readily available in 20 of 29 countries. Seven countries reported significant quota issues or obstacles for CSII prescription, and two countries had no CSII reimbursement. CGM is at least partially reimbursed in 17 of 29 countries. The comparison with the 2009 study showed an increasing availability of CSII and CGM across the EU. CONCLUSIONS: Although innovative diabetes technology is available, a large proportion of children with T1D still do not benefit from it due to its limited reimbursement.

Optimal predictive low glucose management settings during physical exercise in adolescents with type 1 diabetes.

OBJECTIVES: To assess the optimal setting of the predictive low glucose management (PLGM) algorithm for preventing exercise-induced hypoglycemia in adolescents with type 1 diabetes. METHODS: Thirty-four adolescents, 15 to 20 years, wearing PLGM system, were followed during 3 days exercise during a diabetes camp. PLGM threshold was set at 70 mg/dL between 8 am and 10 pm and 90 mg/dL during 10 pm and 8 am Adolescents were divided into group A and B, with PLGM threshold at 90 and 70 mg/dL, respectively, during exercise. Time spent in hypoglycemia and AUC for time slots 8 am to 1 pm, 1 to 4 pm, 4 to 11 pm, 11 pm to 3 am, 3 to 8 am, in 3 days were compared between groups by Wilcoxon rank sum test. RESULTS: We analyzed 31 patients (median age 15.0 years, 58.1% males, median diabetes duration 7.0 years, hemoglobin A1c [HbA1c] 7.1%). No significant difference has been observed in time spent in hypoglycemia between groups using threshold 70 or 90. Time spent in target was similar in both groups, as well as time spent in hypo or hyperglycemia. The trends of blood glucose over the 3 days in the 2 groups over-lapped without significant differences. CONCLUSIONS: A PLGM threshold of 90 mg/dL during the night was associated with reduced time in hypoglycemia in adolescents doing frequent physical exercise, while maintaining 65.1% time in range during the day. However, a threshold of 70 mg/dL seems to be safe in the duration of the physical exercise. PLGM system in adolescents with type 1 diabetes was effective to prevent hypoglycemia during and after exercise, irrespective of the PLGM thresholds used.