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.

Glucose sensor with predictive alarm for hypoglycaemia: Improved glycaemic control in adolescents with type 1 diabetes.

AIM: Hypoglycaemic events are linked to microvascular and macrovascular complications in people with type 1 diabetes. We aimed to evaluate the efficacy of glucose sensor [real-time continuous glucose monitoring (RT-CGM)] with predictive alarm (PA) in reducing the time spent below the range (%TBR <70 mg/dl) in a group of adolescents with type 1 diabetes (AwD). MATERIALS AND METHODS: This was a crossover, monocentric and randomized study. RT-CGM was set with Alarm on Threshold (AoT) at 70 mg/dl) or PA for hypoglycaemia (20 m before threshold). Twenty AwD were enrolled and randomized to either a PA/AoT or AoT/PA treatment sequence, in a 1:1 ratio. The two groups (PA vs. AoT) were compared using two-way repeated measures ANOVA taking account of the carryover effect. RESULTS: AwD using PA for hypoglycaemia spent less time in severe hypoglycaemia (%TBR2 <54 mg/dl; 0.32 ± 0.31 vs. 0.91 ± 0.90; p < .02) and hypoglycaemia (%TBR <70 mg/dl; 1.68 ± 1.06 vs. 2.90 ± 2.05; p < .02), with better glycaemia risk index (51.3 ± 11.0 vs. 61.5 ± 12.6; p ≤ .01). CONCLUSION: The use of RT-CGM with PA for hypoglycaemia technology in AwD using multiple daily insulin injection treatment could significantly reduce the risk of having hypoglycaemic events resulting in an improved quality of glucose control. CLINICAL TRIAL REGISTRATION NUMBER: NCT05574023.

High levels of blood circulating immune checkpoint molecules in children with new-onset type 1 diabetes are associated with the risk of developing an additional autoimmune disease.

AIMS/HYPOTHESIS: We assessed the levels of blood circulating immune checkpoint molecules (ICMs) at diagnosis of type 1 diabetes, and determined their association with the risk of developing an additional autoimmune disorder over time. METHODS: Children with new-onset type 1 diabetes (n = 143), without biological and/or clinical signs of additional autoimmune disorders, and healthy children (n = 75) were enrolled, and blood circulating levels of 14 ICMs were measured. The children with type 1 diabetes were divided into two groups on the basis of the development of an additional autoimmune disease in the 5 years after diabetes onset. Differences in soluble ICM levels between the groups were assessed, and a Cox regression analysis was used to evaluate their association with the risk of development of an additional autoimmune disease over time. To validate the data, circulating ICMs were measured in an independent cohort of 60 children with new-onset type 1 diabetes stratified into two groups. RESULTS: We found that the levels of circulating ICMs were significantly higher in children with new-onset diabetes compared with healthy children. Further, we observed that children with type 1 diabetes who developed a second autoimmune disease over time (T1D-AAD+ children) had higher levels of soluble ICMs than children with type 1 diabetes who did not (T1D-AAD- children). Cox regression models revealed that high circulating levels of CD137/4-1BB and PD-1 molecules at diabetes diagnosis were associated with the risk of developing an additional autoimmune disease in both type 1 diabetes cohorts. CONCLUSIONS/INTERPRETATION: Our findings suggest that soluble CD137/4-1BB and PD-1 molecules may be used as prognostic biomarkers in children with type 1 diabetes, and may pave the way for novel immunological screening at diabetes onset, allowing early identification of children at higher risk of developing other autoimmune conditions over time.

Evaluation of HbA1c and glucose management indicator discordance in a population of children and adolescents with type 1 diabetes.

BACKGROUND: Glucose management indicator (GMI) is a useful metric for the clinical management of diabetic patients using continuous glucose monitoring (CGM). In adults, a marked discordance between HbA1c and GMI has been reported. To date, no studies have evaluated this discordance in children/adolescents with type 1 diabetes (T1D). METHODS: HbA1c and real-life CGM data of the 12 weeks preceding HbA1c measurement were collected from 805 children/adolescents. The absolute difference between HbA1c and GMI was calculated for both the 12-week and 4-week periods preceding HbA1c measurement and the proportion of discordant patients was defined according to specific thresholds in the entire study population and in subjects stratified by type of CGM, insulin therapy, gender, age and puberty. Regression analyses were performed with HbA1c-GMI discordance as dependent variable and patients' characteristics as independent ones. A new GMI equation for children and adolescent was derived from the linear regression analysis between mean glucose and HbA1c. RESULTS: HbA1c-GMI discordance calculated on the 12-week period was <0.1, ≥0.5 and ≥1.0 in 24.8, 33.9 and 9.2% of the subjects, respectively. No significant differences in the proportion of discordant patients were found comparing patients stratified by type of CGM, insulin therapy, gender, age and puberty. GMI-HbA1c discordance was not significantly explained by age, gender, BMI, type of CGM, insulin therapy, hemoglobin, anemia and autoimmune diseases (R2  = 0.012, p = 0.409). HbA1c-GMI discordance calculated on the 4-week period was comparable. GMI (%) equation derived for this cohort was: 3.74 + 0.022x (mean glucose in mg/dl). CONCLUSIONS: GMI could be meaningfully discordant respect to HbA1c in more than a third of children/adolescents with T1D. This discrepancy should be taken into careful consideration when the two indices are directly compared in daily clinical practice.

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.

Association of the use of diabetes technology with HbA1c and BMI-SDS in an international cohort of children and adolescents with type 1 diabetes: The SWEET project experience.

OBJECTIVE: To examine the association between the use of diabetes technology (insulin pump [CSII], glucose sensor [CGM] or both) and metabolic control (HbA1c) as well as body adiposity (BMI-SDS) over-time in a cohort of children and adolescents with type 1 diabetes (T1D), that have never used these technologies before. SUBJECTS AND METHODS: Four thousand six hundred forty three T1D patients (2-18 years, T1D ≥1 year, without celiac disease, no CSII and/or CGM before 2016) participating in the SWEET prospective multicenter diabetes registry, were enrolled. Data were collected at two points (2016; 2019). Metabolic control was assessed by glycated hemoglobin (HbA1c) and body adiposity by BMI-SDS (WHO). Patients were categorized by treatment modality (multiple daily injections [MDI] or CSII) and the use or not of CGM. Linear regression models, adjusted for age, gender, duration of diabetes and region, were applied to assess differences in HbA1c and BMI-SDS among patient groups. RESULTS: The proportion of patients using MDI with CGM and CSII with CGM significantly increased from 2016 to 2019 (7.2%-25.7%, 7.8%-27.8% respectively; p < 0.001). Linear regression models showed a significantly lower HbA1c in groups that switched from MDI to CSII with or without CGM (p < 0.001), but a higher BMI-SDS (from MDI without CGM to CSII with CGM p < 0.05; from MDI without CGM to CSII without CGM p < 0.01). CONCLUSIONS: Switching from MDI to CSII is significantly associated with improvement in glycemic control but increased BMI-SDS over-time. Diabetes technology may improve glucose control in youths with T1D although further strategies to prevent excess fat accumulation are needed.

In vivo confocal microscopy study of corneal nerve alterations in children and youths with Type 1 diabetes.

OBJECTIVE: To determine whether children and youths with Type 1 diabetes (T1D) have early alterations of the corneal subbasal nerve plexus detectable with in vivo confocal microscopy (IVCM) and to investigate the role of longitudinally measured major risk factors for diabetes complications associated with these alterations. METHODS: One hundred and fifty children and youths with T1D and 51 age-matched controls were enrolled and underwent IVCM. Corneal nerve fiber length (CNFL), corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), corneal fiber total branch density (CTBD), and corneal fiber fractal dimension (CNFrD) were measured. Risk factors for diabetes complications (blood pressure, BMI, HbA1c, lipoproteins, urinary albumin-creatinine ratio) were recorded at IVCM and longitudinally since T1D onset. Unpaired t-test was used to compare variables between the groups. Multiple regression models were calculated using IVCM parameters as dependent variables and risk factors as independent variables. RESULTS: All IVCM parameters, except CTBD, were significantly lower in the T1D patients. Glycometabolic control (HbA1c, visit-to-visit HbA1c variability, and mean HbA1c), and blood pressure were inversely correlated with IVCM parameters. Multiple regression showed that part of the variability in CNFL, CNFD, CTBD, and CNFraD was explained by HbA1c, blood pressure percentiles and age at IVCM examination, independent of diabetes duration, BMI percentile and LDL cholesterol. Comparable results were obtained using the mean value of risk factors measured longitudinally since T1D onset. CONCLUSIONS: Early signs of corneal nerve degeneration were found in children and youths with T1D. Glycometabolic control and blood pressure were the major risk factors for these alterations.

Long chain fatty acids metabolism and cardiovascular risk factors in youth with type 1 diabetes.

BACKGROUND AND AIMS: Fatty acids (FAs) and their metabolizing enzymes have been associated with several cardiometabolic outcomes. Whether they correlate with cardiovascular risk in type 1 diabetes (T1D), it is unknown. We investigated whether erythrocyte FAs correlated with cardiovascular risk factors and dietary fats in youth with T1D. METHODS AND RESULTS: We recruited 154 adolescents with T1D (aged 17.3 ± 2 years, 82 boys) and assessed blood pressure, plasma lipids, HbA1c, estimated insulin sensitivity (eIS) and dietary fats based on a 3-days weighed dietary record. Erythrocyte FAs were measured by gas chromatography and desaturase and elongase activities were estimated as product/precursor ratios. Delta-6-desaturase (D6D) activity correlated inversely with eIS (r = -0.32,p = 6.6∗10-5) and directly with triglycerides (r = 0.24, p = 0.003), adjusted for z-BMI, age and gender. No single erythrocyte FA correlated with eIS. Erythrocyte membrane stearic acid (SA) correlated with HbA1c adjusted for confounders and eIS (r = -0.26, p = 0.002). We found some weak (r ≤ 0.20) correlations between erythrocyte membrane FAs and dietary fats, which were not retained by correction for multiple testing. CONCLUSION: In youth with T1D, D6D activity might exert unfavorable effects per se, beyond its role on FAs composition. This is in accordance with previous data associating D6D activity/D6D-enhancing polymorphisms with metabolic syndrome and incident type 2 diabetes, as well as D6D activity with the regulation of cellular red-ox balance. SA was a favorable marker of glycemic control. Future research is needed to clarify the biological pathways linking D6D and SA with the cardiometabolic health of youth with T1D.

Plasma circulating miR-23~27~24 clusters correlate with the immunometabolic derangement and predict C-peptide loss in children with type 1 diabetes.

AIMS/HYPOTHESIS: We aimed to analyse the association between plasma circulating microRNAs (miRNAs) and the immunometabolic profile in children with type 1 diabetes and to identify a composite signature of miRNAs/immunometabolic factors able to predict type 1 diabetes progression. METHODS: Plasma samples were obtained from children at diagnosis of type 1 diabetes (n = 88) and at 12 (n = 32) and 24 (n = 30) months after disease onset and from healthy control children with similar sex and age distribution (n = 47). We quantified 60 robustly expressed plasma circulating miRNAs by quantitative RT-PCR and nine plasma immunometabolic factors with a recognised role at the interface of metabolic and immune alterations in type 1 diabetes. Based on fasting C-peptide loss over time, children with type 1 diabetes were stratified into the following groups: those who had lost >90% of C-peptide compared with diagnosis level; those who had lost <10% of C-peptide; those showing an intermediate C-peptide loss. To evaluate the modulation of plasma circulating miRNAs during the course of type 1 diabetes, logistic regression models were implemented and the correlation between miRNAs and immunometabolic factors was also assessed. Results were then validated in an independent cohort of children with recent-onset type 1 diabetes (n = 18). The prognostic value of the identified plasma signature was tested by a neural network-based model. RESULTS: Plasma circulating miR-23~27~24 clusters (miR-23a-3p, miR-23b-3p, miR-24-3p, miR-27a-3p and miR-27b-3p) were upmodulated upon type 1 diabetes progression, showed positive correlation with osteoprotegerin (OPG) and were negatively correlated with soluble CD40 ligand, resistin, myeloperoxidase and soluble TNF receptor in children with type 1 diabetes but not in healthy children. The combination of plasma circulating miR-23a-3p, miR-23b-3p, miR-24-3p, miR-27b-3p and OPG, quantified at disease onset, showed a significant capability to predict the decline in insulin secretion 12 months after disease diagnosis in two independent cohorts of children with type 1 diabetes. CONCLUSIONS/INTERPRETATIONS: We have pinpointed a novel miR-23a-3p/miR-23b-3p/miR-24-3p/miR-27b-3p/OPG plasma signature that may be developed into a novel blood-based method to better stratify patients with type 1 diabetes and predict C-peptide loss.

Long-term glycemic control and glucose variability assessed with continuous glucose monitoring in a pediatric population with type 1 diabetes: Determination of optimal sampling duration.

BACKGROUND: No studies have assessed if 2-week of continuous glucose monitoring (CGM) data provide good estimation of long-term glycemic control and glucose variability (GV) in pediatric patients with type 1 diabetes (T1D) as in adults. METHODS: Six hundred fifty-four T1D pediatric patients were enrolled and 12-weeks of CGM data, before HbA1c measurement, were collected. Metrics of glycemic control and GV in incremental sampling periods were calculated. The agreement between metrics calculated in the sampling periods and the full 12-week period was assessed with correlation analysis (R2 ), median relative absolute difference (RAD) or absolute difference in the entire study populations and subjects stratified by age, pubertal status, insulin therapy (MDI,CSII), type of CGM (intermittently scanned [isCGM], real-time [rtCGM]), and HbA1c level. RESULTS: Correlations with metrics of the full 12-week period improved by extending the sampling periods. R2 values close to 0.90 using 4-week period were significantly higher than 2-week period, particularly for coefficient of variation, mean glucose SD, percentage of time below the range <70 mg/dL. A significant difference was found comparing the median RAD of 2- and 4-week, especially for mean glucose and coefficient of variation. Similar results were obtained analyzing subjects according to age and pubertal status, whereas in patients with HbA1c ≤7%, using rtCGM and CSII significant correlations were found for 2-week period. CONCLUSIONS: In T1D pediatric subjects, 4-week CGM data better reflects long-term glycemic control and GV in MDI and isCGM users. The 2-week period may be acceptably accurate in CSII and rtCGM users, especially in those with good glycometabolic control.

Nutrition habits of children and adolescents with type 1 diabetes changed in a 10 years span.

BACKGROUND: Diet plays a key role in the treatment of type 1 diabetes (T1D). Dietary habits changed rapidly in the last decades and few data are available on recent dietary changes in children and adolescents with T1D. OBJECTIVE: To test the hypothesis that diet composition changed in a 10-year period in children and adolescents with T1D. METHODS: Two hundred and twenty-nine T1D subjects (M/F:121/108) aged 6 to 16 years were recruited: 114 (group A) enrolled in 2009, not using CGM and/or CSII, and 115 (group B) enrolled in 2019. Anthropometric biochemical (HbA1c, lipid profile), diet, and insulin therapy parameters were compared between the two groups. Multivariate logistic regression analysis was performed with HbA1c as dependent variable (HbA1c > 58 mmol/mol = 1) and nutritional variables and technology use as independent ones. RESULTS: Energy intake of group A was not statistically different from that of group B. Group B had a significantly (P < 0.001) higher protein and lipids intake and lower total carbohydrate and fiber intake than group A. HbA1c was significantly (P < 0.01) lower in group B than in group A. Logistic regression analysis showed that MUFA (OR 0.83, 95%CI:0.693-0.998), fiber intake (OR 0.82, 95%CI:0.699-0.0969), and technology use (OR 0.15, 95%CI:0.031-0.685), adjusted for age, gender, BMI, energy intake and diabetes duration, were associated with a HbA1c higher than 58 mmol/mol) (R2 = 0.27, P < 0.05). CONCLUSIONS: In a 10-year period, diet composition of children and adolescents with T1D changed and glucometabolic control improved. Fiber and MUFA intake showed a positive effect on HbA1c, independent from technology use, supporting the importance of educating children with T1D and families to maintain healthy eating habits.

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.

Insulin pump breakdown and infusion set failure in Italian children with type 1 diabetes: A 1-year prospective observational study with suggestions to minimize clinical impact.

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.

Prevalence of underweight, overweight, and obesity in children and adolescents with type 1 diabetes: Data from the international SWEET registry.

OBJECTIVE: To assess the prevalence of underweight (UW), overweight (OW), and obesity in children and adolescents with type 1 diabetes (T1D). METHODS: An international cross-sectional study including 23 026 T1D children (2-18 years, duration of diabetes ≥1 year) participating in the SWEET prospective, multicenter diabetes registry. Body mass index SD score (BMI-SDS) was calculated using the World Health Organization BMI charts. Children were categorized as UW (BMI-SDS < -2SD), OW (+1SD < BMI-SDS ≤ +2SD), and obese (OB) (BMI-SDS > +2SD). Hierarchic regression models were applied with adjustment for sex, age, and duration of diabetes. RESULTS: The prevalence of UW, OW, and obesity was: 1.4%, 22.3%, and 7.3% in males and 0.6%, 27.2%, and 6.8% in females. Adjusted BMI-SDS was significantly higher in females than in males (mean ± SEM: 0.54 ± 0.05 vs 0.40 ± 0.05, P < 0.0001). In males, BMI-SDS significantly decreased by age (P < 0.0001) in the first three age categories 0.61 ± 0.06 (2 to <10 years), 0.47 ± 0.06 (10 to <13 years), 0.34 ± 0.05 (13 to <16 years). In females, BMI-SDS showed a U-shaped distribution by age (P < 0.0001): 0.54 ± 0.04 (2 to <10 years), 0.39 ± 0.04 (10 to <13 years), 0.55 ± 0.04 (13 to <16 years). BMI-SDS increased by diabetes duration (<2 years: 0.38 ± 0.05, 2 to <5 years: 0.44 ± 0.05, and ≥5 years: 0.50 ± 0.05, P < 0.0001). Treatment modality did not affect BMI-SDS. Adjusted HbA1c was significantly higher in females than in males (8.20% ± 0.10% vs 8.06% ± 0.10%, P < 0.0001). In both genders, the association between HbA1c and BMI-SDS was U-shaped with the highest HbA1c in the UW and obesity groups. CONCLUSIONS: The high rate of OW and obesity (31.8%) emphasize the need for developing further strategies to prevent and treat excess fat accumulation in T1D.

Bias in food intake reporting in children and adolescents with type 1 diabetes: the role of body size, age and gender.

BACKGROUND: An assessment of total daily energy intake is helpful in planning the overall treatment of children with type 1 diabetes (T1D). However, energy intake misreporting may hinder nutritional intervention. AIMS: To assess the plausibility of energy intake reporting and the potential role of gender, body mass index (BMI) z-score (z-BMI), disease duration and insulin requirement in energy intake misreporting in a sample of children and adolescents with T1D. METHODS: The study included 58 children and adolescents aged 8-16 yr with T1D. Anthropometry, blood pressure and glycated hemoglobin (HbA1c) were measured. Subjects were instructed to wear a SenseWear Pro Armband (SWA) for 3 consecutive days, including a weekend day and to fill out with their parents a weighed dietary record for the same days. Predicted energy expenditure (pEE) was calculated by age and gender specific equations, including gender, age, weight, height and physical activity level (assessed by SWA). The percent reported energy intake (rEI)/pEE ratio was used as an estimate of the plausibility of dietary reporting. RESULTS: Misreporting of food intake, especially under-reporting, was common in children and adolescents with T1D: more than one-third of participants were classified as under-reporters and 10% as over-reporters. Age, z-BMI and male gender were associated with the risk of under-reporting (model R2 = 0.5). Waist circumference was negatively associated with the risk of over-reporting (model R2 = 0.25). CONCLUSIONS: Children and adolescents with T1D frequently under-report their food intake. Age, gender and z-BMI contribute to identify potential under-reporters.

Aiming for the Best Glycemic Control Beyond Time in Range: Time in Tight Range as a New Continuous Glucose Monitoring Metric in Children and Adolescents with Type 1 Diabetes Using Different Treatment Modalities.

Introduction: To evaluate time in tight range (TITR) 70-140 mg/dL (3.9-7.8 mmol/L), its correlation with standard continuous glucose monitoring (CGM) metrics and the clinical variables that possibly have a substantial impact on its value, in a large cohort of pediatric subjects using different treatment strategies. Materials and Methods: A total of 854 children and adolescents with type 1 diabetes were consecutively recruited in this real world, dual center, cross-sectional study. Participants were categorized into four treatment groups (multiple daily injections [MDI] + real-time CGM, MDI + intermittently scanned CGM, sensor augmented pump, and hybrid closed loop [HCL]). Demographical and clinical data, including CGM data, were collected and analyzed. Results: The overall study population exhibited an average TITR of 36.4% ± 12.8%. HCL users showed higher TITR levels compared to the other treatment groups (P < 0.001). A time in range (TIR) cut-off value of 71.9% identified subjects achieving a TITR ≥50% (area under curve [AUC] 0.98; 95% confidence interval 0.97-0.99, P < 0.001), and a strong positive correlation between these two metrics was observed (r = 0.95, P < 0.001). An increase in TIR of 1% was associated with 1.84 (R2 Nagelkerke = 0.35, P < 0.001) increased likelihood of achieving TITR ≥50%. Use of HCL systems (B = 7.78; P < 0.001), disease duration (B = -0.26, P = 0.006), coefficient of variation (B = -0.30, P = 0.004), and glycated hemoglobin (B = -8.82; P < 0.001) emerged as significant predictors of TITR levels. Conclusions: Our study highlights that most children and adolescents with type 1 diabetes present TITR levels below 50%, except those using HCL. Tailored interventions and strategies should be implemented to increase TITR.

Short-Term Weight Gain after Tonsillectomy Does Not Lead to Overweight: A Systematic Review.

Different studies and systematic reviews have reported weight increase after tonsillectomy. However, the odds of a child being overweight or obese after tonsillectomy were no different than before surgery, according to a few studies. This systematic review aims to analyze the impact of adenotonsillectomy (TA) on weight gain and identify subgroups of children and adolescents at risk of experiencing weight gain. A systematic search included studies published in the last ten years. The PICO framework was used in the selection process, and evidence was assessed using the GRADE system. A total of 26 studies were included, and moderate-high level quality ones showed that children who underwent TA could present an increase in BMI z-score. However, this weight gain was significant in individuals younger than six years old and was considered catch-up growth in underweight subjects at baseline. In contrast, for normal-weight or overweight individuals, TA did not lead to overweight per se. At the same time, diet changes and overfeeding did not have a leading role in weight gain. In conclusion, TA may not be an independent risk factor for unfavorable weight gain in children; however, individuals who were underweight pre-operatively or younger than six years reported more weight gain after TA than expected.

Maintaining a gluten-free diet is associated with quality of life in youths with type 1 diabetes and celiac disease.

AIM: Conflicting findings have been reported on whether in youths, the double diagnosis of type 1 diabetes (T1D) and celiac disease (CD) substantially impacts quality of life QoL, compared to subjects with T1D only. METHODS: In this study, 86 youths with double diagnosis and their parents were compared to 167 subjects with T1D only. QoL was assessed through the KINDL questionnaire. Anti-tissue transglutaminase antibodies and dietary interviews evaluated the degree of maintaining a gluten-free diet (GFD). RESULTS: We found that having CD in addition to T1D has little effect on overall QoL. However, analysis of the degree of maintaining GFD revealed significantly lower total QoL scores in groups with T1D + CD not strictly maintaining GFD compared to T1D only (p = 0.0014). The multivariable linear regression model confirmed the importance of maintaining GFD on QoL in subjects (p = 0.0066) and parents (p = 0.023). CONCLUSION: The coexistence of T1D and CD and the adoption of a GFD resulted in poor QoL levels, as in youth as in their parents, when difficulties implementing the GFD are present. Psychological support should consider the importance of maintaining GFD not only to prevent potential complications in the future but also to improve actual QoL in different subdomains.