Pediatric Diabetes

Background. Children and adolescents with type 1 diabetes mellitus (T1DM) are frequently hospitalised for severe hypoglycaemia, hyperglycaemia, and diabetic ketoacidosis (DKA). While several risk factors have been recognised, clinically identifying these children at high risk of acute decompensation remains challenging. Objective. To develop a risk prediction model to accurately estimate the risk of acute healthcare utilisation due to severe hypoglycaemia, hyperglycaemia, and DKA in children and adolescents with T1DM. Materials and Methods. Using a retrospective dataset, baseline demographic and clinical data were collected from patients (<18 years) seen at a regional paediatric diabetes clinic from 1 January 2018 to 1 January 2020. The outcome was the number of emergency department presentations or hospital admissions for severe hypoglycaemia, hyperglycaemia, and DKA across the study period. Variables that were significant in univariate analysis were entered into a multivariable model. Receiver operator characteristic (ROC) curves assessed the model’s discrimination and generated cut-offs for risk group stratification (low, medium, and high). Kaplan–Meier survival analysis measured time to acute healthcare utilisation across the risk groups. Results. Our multivariable risk prediction model consisted of five predictors (continuous glucose monitoring device, previous acute healthcare utilisation, missed appointments, and child welfare services involvement and socioeconomic status). The model exhibited good discrimination (area under the ROC = 0.81), accurately stratified children into low-, medium-, and high-risk groups, and demonstrated significant differences between median time to healthcare utilisation. Conclusion. Our model identified patients at an increased risk of acute healthcare utilisation due to severe hypoglycaemia, hyperglycaemia, and DKA.

Background. Poor glycemic control in patients with type 1 diabetes (T1D) is associated with greater social deprivation. However, the evidence is inconsistent in terms of the type of social deprivation (individual-level or area-level) and whether glycemic control changes over time. Here, we investigated the impacts of individual-level and area-level social deprivation on the glycated hemoglobin (HbA1c) trajectory from the time of T1D diagnosis. Materials and Methods. We retrospectively analyzed a cohort of children who were diagnosed with T1D between 2017 and 2020 at Bordeaux University Hospital. Social deprivation was assessed using both parental individual indicator (EPICES score) and ecological indicator (European Deprivation Index (EDI) score). Piecewise linear mixed-effects models were used to estimate the effects of social deprivation on HbA1c trajectory. Results. We included 168 patients. The most-deprived group included 29% and 22% of all patients, as revealed by the respective EPICES and EDI scores. The two indicators were poorly correlated. The short-term decrease in HbA1c level tended to be smaller in the most-deprived patients over the first 4 months after diagnosis than in other patients (slope difference of 2.68% per year compared with the slope among the least-deprived patients, ). The long-term trajectory was influenced by area-level deprivation (EDI score); the least-deprived patients (quintile 1) exhibited more stable mean HbA1c levels. Conclusions. Social deprivation may partially explain poor glycemic control in some patients; both short-term individual deprivation and long-term area-level deprivation may be involved. Further research is needed to determine how to integrate this information into a therapeutic strategy.

Context. Insulin sensitivity and secretion indices can be useful tools in understanding insulin homeostasis in children at risk for diabetes. There have been few studies examining the reproducibility of these measures in pediatrics. Objective. To determine whether fasting or oral glucose tolerance test (OGTT)-derived insulin measures would be more reproducible and whether there would be differences based on weight, sex, race, and pubertal status. Design. Observational study. Setting. Clinical research unit. Patients or Other Participants. Two hundred fifty-seven overweight/obese (BMI ≥ 85th%, n = 186) and normal weight (BMI < 85th%, n = 71) children without diabetes between ages of 8 and 17 were included in the study. Methods. OGTT tests performed in study participants at two separate visits within a 3-week period. We performed two formal oral glucose tolerance tests within a 3-week period. The reproducibility of fasting measures was compared with OGTT-derived measures by weight categories and compared by weight, sex, race, and pubertal status. Comparisons were made between the correlation coefficients of fasting vs. OGTT-derived measures and between normal weight vs. obese/overweight participants, male vs. female, White vs. Black, and pre- vs. post-midpubertal. Intraclass correlation coefficients were calculated for each comparison as well. Results. For insulin sensitivity, the OGTT-derived measure was more reproducible than the fasting measures. There were no significant differences in reproducibility in the overweight/obese population compared to the normal weight population nor by sex, race, or pubertal status. Conclusions. Nonfasting insulin sensitivity measures are more reproducible than fasting insulin sensitivity measures, regardless of weight category. Insulin secretion measures have poor reproducibility overall. Weight status, sex, race, and midpubertal stage do not impact the reproducibility of insulin sensitivity and secretion measures.

Introduction. Cardiovascular disease (CVD) is highly prevalent in patients with type 1 diabetes (T1DM) and is responsible for a significant reduction in life expectancy. Objective. To compare the arterial stiffness indices, arterial compliance and vascular resistance assessed centrally and peripherally between healthy adolescents and young adults (CTRL group) and those with T1DM. Methods. This is an observational cross-sectional study involving 90 adolescents and young adults, with half of them being considered healthy (n = 45) and the other half with T1DM (n = 45), matched by age and sex. Cardiovascular parameters were evaluated using the oscillometric method of brachial artery pressure assessment for a noninvasive estimation of central arterial pressures. Results. Weight and body mass index were significantly higher in the T1DM group. AIx@75 was significantly higher in the T1DM group (24.96% ± 8.88%) compared to the CTRL (20.16% ± 9.95%). Peripheral and central arterial compliance were significantly lower in the T1DM group (0.79 ± 0.21; 1.16 ± 0.27 ml/m²/mmHg) compared to the CTRL (0.98 ± 0.32; 1.47 ± 0.61 ml/m²/mmHg). Peripheral and central vascular resistance were significantly higher in the T1DM group (1.32 ± 0.32; 0.91 ± 0.21 mmHg/ml/m²) compared to the CTRL (1.11 ± 0.30; 0.75 ± 0.22 mmHg/ml/m²). Conclusion. Our data confirm premature aging of the vascular system in adolescents and young adults with T1DM and extend our knowledge by showing important changes in central and peripheral hemodynamics indices.

Objective. Microvascular complications increase the risk of cardiovascular disease and premature death in adults with type 1 diabetes. We examined the association between microvascular complications during adolescence, including cardiac autonomic nerve dysfunction and subsequent mortality. Research Design and Methods. We undertook data linkage with the Australian National Death Index in a cohort of 409 adolescents (diagnosed between 1973 and 1993), 48% male, median age at final complications assessment 17.4 years (interquartile range: 16.0–18.9), followed longitudinally for median 22.3 years (21.0–23.4) from diagnosis. Generalized estimating equations (GEE) were used to examine associations between mortality and adolescent complications. Mortality risk was calculated as standardized mortality ratio (SMR). Results. At final adolescent visit, 20% had CAN abnormality, 30% abnormal pupillary response, 20% albuminuria, 40% early elevation of albumin excretion rate (AER) and 45% retinopathy. Data linkage 8–13 years later showed 14 were deceased (3% of cohort), 57% male, median age 28.3 years (24.8–32.9). Acute or chronic diabetes complications accounted for 25% of deaths. In multivariable GEE, elevated AER (OR 4.54, 1.23–16.80, ), pupillary abnormality (OR 4.27, 1.20–15.22, ), systolic blood pressure SDS (OR 2.17, 1.26–3.74, ) and CAN (OR 4.65, 1.03–21.0, ) predicted mortality. HbA1c was not significant. SMR was 2.5 (1.4–4.2) and was higher in females (SMR 3.5, 1.3–7.8) but not in males (SMR 2.1, 0.9–4.0). Conclusion. Mortality in young adults with type 1 diabetes is predicted by subclinical markers of autonomic neuropathy and elevated AER during adolescence, but not glycemia. Mortality was over twice that of the background population in females but not in males.

Objective. Evaluate the mortality risk of childhood-onset type 1 diabetes compared to the general population. Research Design and Methods. The study population, identified from the Australasian Paediatric Endocrinology Group diabetes register, was diagnosed with type 1 diabetes at age < 16 in New South Wales (NSW), Australia, from 1990 to 2010. The register was linked to National Death Index registrations to ascertain timing and cause of death up to 31/12/2022. Risk factors for mortality were assessed using multivariable Cox regression models and observed mortality rate compared to “expected” rates in the Australian general population using indirect-standardized mortality ratios (SMR), overall and by sex and age at diagnosis. Diabetes-related cause of death categories were identified. Results. Of 5,417 children diagnosed with type 1 diabetes, 157 subsequently died, with all-cause mortality of 1.37/1,000 person years. Increased mortality risk was associated with living in most disadvantaged areas (aHR 1.81 (1.05, 3.11)) but not living in a rural area. Overall SMR was 2.83 (95% CI 2.40, 3.33) with females having higher SMR than males (4.18 vs. 2.19). Most common causes of death recorded were acute diabetes complications (26%), including diabetes ketoacidosis, accident/misadventure (21%), and chronic diabetes complications (15%). Alcohol and/or drug use contributed to 17% of deaths. Conclusion. Compared to the general population, higher risk of mortality in people with type 1 diabetes was associated with female sex and living in area of socioeconomic disadvantage. Education about minimizing risk-taking behaviors should be communicated to young adults with type 1 diabetes.