Three-variate trajectories of metabolic control, body mass index, and insulin dose: Heterogeneous response to initiation of pump therapy in youth with type 1 diabetes.

OBJECTIVE: Continuous subcutaneous insulin infusion (CSII) in youths with type 1 diabetes (T1D) is often associated with lower HbA1c, lower total daily insulin dose (TDD), and lower body mass index (BMI) compared with multiple daily injections (MDI). Individual responses to CSII are diverse. The aim was to identify unique three-variate patterns of HbA1c, BMI standard deviation score (SDS), and TDD after switching to CSII. METHODS: Five thousand one hundred and thirty-three youths (≤20 years; 48% boys; median age at pump start 12.5 years) with T1D duration ≥3 years at CSII initiation were selected from the multicenter DPV registry. We applied group-based multitrajectory modeling to identify groups of individuals following similar trajectories. Measurements were aggregated quarterly during a 3-year follow-up period. Trajectory variables were changes of HbA1c, BMI-SDS, and TDD from baseline (delta = quarterly aggregated values at each time point [i] minus the respective baseline value). RESULTS: Four groups of diverging Delta-HbA1c, Delta-BMI-SDS, and Delta-TDD patterns were identified. All showed improvements in HbA1c during the first 3 months. Group 1 (12%) was characterized by modest HbA1c increase thereafter, TDD reduction, and stable BMI-SDS. In Group 2 (39%), increasing HbA1c, decreasing BMI-SDS, and stable TDD were found. By contrast, sustainably improved HbA1c, increasing BMI-SDS, and stable TDD were observed in Group 3 (32%). Group 4 (17%) was characterized by increasing levels for HbA1c, BMI-SDS, and TDD. Between-group differences in baseline HbA1c, BMI-SDS, TDD as well as in sex ratio, age at diabetes onset and at pump start were observed. CONCLUSIONS: Definite trajectories of glycemic control, BMI, and TDD over 3 years after CSII initiation were identified in youths with T1D allowing a more personalized treatment recommendation.

Previous diabetic ketoacidosis as a risk factor for recurrence in a large prospective contemporary pediatric cohort: Results from the DPV initiative.

OBJECTIVE: To assess the role of previous episodes of diabetic ketoacidosis (DKA) and their time-lag as risk factors for recurring DKA in youth with type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS: In a population-based analysis, data from 29,325 children and adolescents with T1D and at least 5 years of continuous follow-up were retrieved from the "Diabetes Prospective Follow-up" (DPV) multi-center registry in March 2020. Statistical analyses included unadjusted comparisons, logistic and negative binomial regression models. RESULTS: Among 29,325 patients with T1D, 86.0% (n = 25,219) reported no DKA, 9.7% (n = 2,833) one, and 4.3% (n = 1,273) more than one episode, corresponding to a DKA rate of 4.4 [95% CI: 4.3-4.6] per 100 patient-years. Female sex, migratory background, higher HbA1c values, higher daily insulin doses, a lower glucose monitoring frequency, and less CGM usage were associated with DKA. In patients with a previous episode, the DKA rate in the most recent year was significantly higher than in patients with no DKA (17.6 [15.9-19.5] vs. 2.8 [2.7-3.1] per 100 patient-years; p < 0.001). Multiple DKAs further increased the recurrence rate. The risk for DKA in the most recent year was higher in patients with an episode in the preceding year than in patients with no previous DKA (OR: 10.0 [95% CI: 8.6-11.8]), and remained significantly elevated 4 years after an episode (OR: 2.3 [1.6-3.1]; p < 0.001). CONCLUSIONS: Each episode of DKA is an independent risk factor for recurrence, even 4 years after an event, underlining the importance of a close follow-up after each episode.

Use of insulin pump therapy is associated with reduced hospital-days in the long-term: a real-world study of 48,756 pediatric patients with type 1 diabetes.

In pediatric diabetes, insulin pump therapy is associated with less acute complications but inpatient pump education may lead to more hospital days. We investigated the number of hospital days associated with pump vs. injection therapy between 2009 and 2018 in 48,756 patients with type 1 diabetes < 20 years of age from the German Diabetes Prospective Follow-up Registry (DPV). Analyses were performed separately for hospitalizations at diagnosis (hierarchical linear models adjusted for sex, age, and migration), and for hospitalizations in the subsequent course of the disease (hierarchical Poisson models stratified by sex, age, migration, and therapy switch). At diagnosis, the length of hospital stay was longer with pump therapy than with injection therapy (mean estimate with 95% CI: 13.6 [13.3-13.9] days vs. 12.8 [12.5-13.1] days, P < 0.0001), whereas during the whole follow-up beyond diagnosis, the number of hospital days per person-year (/PY) was higher with injection therapy than with pump therapy (4.4 [4.1-4.8] vs. 3.9 [3.6-4.2] days/PY), especially for children under 5 years of age (4.9 [4.4-5.6] vs. 3.5 [3.1-3.9] days/PY).Conclusions: Even in countries with hospitalizations at diabetes diagnosis of longer duration, the use of pump therapy is associated with a reduced number of hospital days in the long-term. What is known: • In pediatric diabetes, insulin pump therapy is associated with better glycemic control and less acute complications compared with injection therapy. • However, pump therapy implies more costs and resources for education and management. What is new: • Even in countries where pump education is predominantly given in an inpatient setting, the use of pump therapy is associated with a reduced number of hospital days in the long-term. • Lower rates of hospitalization due to acute complications during the course of the disease counterbalance longer hospitalizations due to initial pump education.

Three-Variate Longitudinal Patterns of Metabolic Control, Body Mass Index, and Insulin Dose during Puberty in a Type 1 Diabetes Cohort: A Group-Based Multitrajectory Analysis.

OBJECTIVE: To analyze the interrelationship of metabolic control, age- and sex-adjusted body mass index, and daily insulin dose and to identify heterogeneous multivariate developmental curves from childhood to young adulthood in a large cohort of children with type 1 diabetes (T1D) STUDY DESIGN: Data were extracted from the diabetes follow-up registry DPV. Longitudinal data from 9239 participants with T1D age 8-18 years with diabetes duration ≥2 years and ≥5 years of follow-up were analyzed. We applied group-based multitrajectory modeling to identify latent groups of subjects following similar developmental curves across outcomes (hemoglobin A1c [HbA1c], age/sex-standardized body mass index [BMI-SDS], daily insulin dose per kg). Group number was based on Bayes information criterion and group size (≥5%). RESULTS: The group-based multitrajectory approach revealed 5 heterogeneous 3-variate trajectories during puberty. Individuals with stable good metabolic control, high-normal increasing BMI-SDS, and rising insulin dose patterns were classified as group 1 (33%). Group 2 (20%) comprised youths with intermediate-increasing HbA1c, low BMI-SDS, and steeply increasing insulin dose trajectories. Group 3 (11%) followed intermediate-rising HbA1c and high-normal increasing BMI-SDS developmental curves, while insulin dose increased steeply. In group 4 (14%), both high-increasing HbA1c and insulin dose trajectories were observed, while BMI-SDS was stable-normal. Group 5 (22%) included subjects with intermediate-rising HbA1c patterns, high-increasing BMI-SDS, and increasing insulin dose patterns. CONCLUSIONS: This study identified 5 distinct 3-variate curves of HbA1c, BMI-SDS, and insulin dose during puberty among youths with T1D. This approach demonstrates a considerable heterogeneity highlighting the importance of personalized medical care.

Lipoprotein-associated phospholipase A2 activity in obese adolescents with and without type 2 diabetes.

Lipoprotein-associated phospholipase A2 (Lp-PLA2) was identified as a strong predictor for cardiovascular events. Furthermore, it is highly associated with obesity. The role of Lp-PLA2 in diabetes mellitus is controversial and analyses, especially in adolescents with type 2 diabetes (T2D), are missing. Therefore, we compared Lp-PLA2 activity between two obese age-, sex-, and BMI-matched cohorts of adolescents with and without T2D. Relationships between Lp-PLA2 activity and age, BMI, hemoglobin A1c, lipids, and adipokines were evaluated. Lp-PLA2 activity was analyzed in serum of 72 obese adolescents without T2D (mean age 15.2 ± 1.6 years) and in 65 obese adolescents with T2D (mean age 15.5 ± 1.8 years). Clinical data were obtained from the Diabetes-Patienten-Verlaufsdokumentation (DPV) registry. Surprisingly, obese adolescents with T2D had lower levels of Lp-PLA2 activity than obese children without T2D (160.2 ± 45.0 versus 180.9 ± 35.6 nmol/min/ml, p = 0.003), but this decrease could only be detected in male (158.8 ± 45.3 versus 190.8 ± 31.3 nmol/min/ml, p < 0.001) and not in female adolescents (162.1 ± 45.5 versus 167.7 ± 37.1 nmol/min/ml, p = 0.60). In multiple linear regression analysis, differences in Lp-PLA2 activity between cohorts remained large and significant (ß-coefficient: -31.60, 95% confidence interval [-49.27;-13.93], p < 0.001). Furthermore, Lp-PLA2 activity was positively associated with BMI (ß-coefficient: 2.04 [0.68;3.40], p = 0.004) and negatively associated with the adipokines leptin (ß-coefficient: -0.53 [-0.89;-0.17], p = 0.004) and adiponectin (ß-coefficient: -3.06, [-5.63;-0.48], p = 0.02). Elevated mean glucose concentrations in adolescents with T2D were not associated with an increase but with a decrease of Lp-PLA2 activity. Hence, in young patients with T2D the Lp-PLA2 activity as a risk predictor for cardiovascular events needs further investigation.

Hospital admission in children and adolescents with or without type 1 diabetes from Germany: An analysis of statutory health insurance data on 12 million subjects.

OBJECTIVE: To compare the chance of hospital admissions in children and adolescents with type 1 diabetes (T1D) to that without T1D from Germany. METHODS: Data were provided by the German information system for health care data which contains information on all patients with a statutory health insurance. The years 2009 and 2011 were considered. Children and adolescents (0 to ≤19 years of age; n = 12 030 242) were included. Unadjusted odds ratios (ORs) with 95% confidence interval (95% CI) were used to compare the hospitalization rate for patients with (n = 26 444) or without T1D (12 003 798). T1D was identified by documented insulin treatment and by ICD-code E10/14. Results were stratified by age-group (0-5; >5-10; >10-15, >15-19 years) and gender. RESULTS: In all age-groups, the hospitalization chance in patients with T1D was higher compared to that of their peers (database 2011). The highest OR was observed in >5 to 10-year-old patients (OR 8.1; 95% CI: 7.7-8.5), followed by patients >10 to 15 years (OR 7.4; 95% CI: 7.1-7.7) and patients ≤5 years (OR 5.3; 95% CI: 4.8-5.7). The lowest OR was present in patients >15 to 19 years (OR 4.0; 95% CI: 3.9-4.2). Overall, OR for hospital admission were higher in girls with T1D compared to boys. The most frequent reasons for hospitalization in T1D were "T1D without complications" (68.4%) and "T1D with ketoacidosis" (18.6%). CONCLUSIONS: Children and adolescents with T1D in Germany had a 4 to 8 times higher hospitalization chance compared to children without T1D. The OR in T1D patients compared to peers were higher in girls than in boys. High rates of elective hospital admission in Germany may contribute to these results.

Sleep and glycemic control in adolescents with type 1 diabetes.

BACKGROUND: Increasing evidence link sleep curtailment and circadian misalignment with adverse metabolic outcome. Adolescents might be most affected, given their late sleep timing and early school and work start times. OBJECTIVE: Our aim was to examine the impact of poor sleeping habits on glycemic control in adolescents with type 1 diabetes. SUBJECTS AND METHODS: This was a non-interventional multicenter study across Germany recruiting pubertally mature adolescents with type 1 diabetes. Medical records were used to collect information on diabetes duration, treatment, and complications. Participants self-reported sleep quality, timing, chronotype, and social jetlag-a measure of circadian misalignment. Hemoglobin A1c (HbA1c) was determined at the time of questionnaire response. We used multivariable linear regression models to examine associations between sleep and glycemic control. RESULTS: A total of 191 patients aged 16.5 years (mean HbA1c 8.0% [64 mmol/mol]) were included in this study. In multivariable adjusted analyses, sleep quality was significantly associated with HbA1c (mean difference; ß = -0.07, P = .05). Stratified analysis indicated that this association might be stronger in boys and also in children with migration background. In contrast, neither sleep duration, sleep debt, chronotype, nor social jetlag was associated with HbA1c . Secondary analyses showed that social jetlag was significantly associated with levels of insulin requirements (mean difference; ß = 0.035, P = .03). CONCLUSIONS: Our study suggests that poor sleep quality is associated with increased HbA1c in adolescents with type 1 diabetes and that higher levels of circadian misalignment are associated with increased insulin requirements. If replicated, our results indicate a clinical relevance of sleep habits in adolescents with type 1 diabetes.

Dominant TNFα and impaired IL-2 cytokine profiles of CD4+ T cells from children with type-1 diabetes.

Aberrantly activated CD4+ T memory cells play a central role in the development of type-1-diabetes. Interleukin-7 promotes generation of autoimmune memory T cells and increased Interleukin-7 availability is associated with type-1-diabetes susceptibility. T-cell-mediated immune pathology at onset of type-1-diabetes is well defined, but characteristics of long-term symptomatic disease stages remain largely elusive. In the present study, memory CD4+ T-cell activation and cytokine expression as well as sensitivity to Interleukin-7 in vitro were compared between patients with type-1-diabetes at clinical onset (n=25), long-term symptomatic disease (median duration 4.5 years, n=19) and matched healthy controls (n=21). T-cell responses of type-1-diabetes patients were characterized by higher frequencies of cytokine and activation marker expressing CD4+ memory T cells as compared to healthy controls. Notably, correction for individual cytokine expression levels revealed qualitative differences of cytokine profiles characterized by significantly increased TNFα and decreased IL-2-expressing T-cell proportions in long-term type-1-diabetes patients. IL-7-mediated T-cell co-stimulation induced quantitative and qualitative cytokine expression differences highly similar to type-1-diabetes-specific profiles. In addition, CD4+ memory T cells from children with long-term type-1-diabetes were more sensitive to in vitro IL-7 co-stimulation. Global transcriptome analysis revealed IL-7 induced expression differences of CD4+ T cells, including increased IL-2R expression and effects on subsequent T-cell receptor activation. We conclude that long-term symptomatic type-1-diabetes patients differed in memory T-cell cytokine profiles and Interleukin-7 co-stimulation. Regulation of IL-2 expression and sensitivity are affected with possible consequences for disease course and severity at long-term type-1-diabetes stages.

20 Years of insulin lispro in pediatric type 1 diabetes: a review of available evidence.

BACKGROUND: Insulin lispro, the first rapid-acting insulin analog, was developed 20 years ago and has been studied in multiple situations and various populations. OBJECTIVE: To review the literature on the use of insulin lispro in children, adolescents, and young adults. PATIENTS: Children, adolescents, and young adults with type-1-diabetes. METHODS: One hundred and twenty-two relevant publications, identified by a systematic (MEDLINE) and manual literature search, were reviewed. RESULTS: Multiple daily injection (MDI) treatment with insulin lispro or other rapid-acting insulins, mainly using neutral protamine Hagedorn (NPH) insulin as the basal component, was associated with reduced postprandial glucose excursions, similar or improved HbA1c levels, and similar or reduced risks of severe hypoglycemia when compared with regular human insulin across all age-groups. Continuous subcutaneous insulin infusion (CSII)-treatment with insulin lispro also showed similar or improved glycemic control vs. MDI- or other CSII-regimens across all age-groups, without increasing the rate of severe hypoglycemia. The other two more recently developed rapid-acting insulins (aspart, glulisine) demonstrated non-inferiority to lispro on HbA1c. Long-term observational studies and real-life experience indicate that the increasing use of optimized MDI- and CSII-regimens with insulin lispro was associated with improvements in overall glycemic control. CONCLUSIONS: For almost 20 years, rapid-acting insulins, in particular insulin lispro as the first-in-class, have contributed to broadening the treatment options for the unique needs of pediatric patients with type-1-diabetes across all age-groups, and have enabled more physiological insulin administration. Now widely used, they have allowed pediatric patients to safely reach better glycemic control, with more flexibility in their daily lives.

Glycated hemoglobin A1c as a risk factor for severe hypoglycemia in pediatric type 1 diabetes.

OBJECTIVE: To assess the risk of severe hypoglycemia related to glycated hemoglobin A1c (HbA1c) levels in a population-based cohort of pediatric type 1 diabetes patients during two time periods since 1995. METHODS: The association between HbA1c levels and severe hypoglycemia (defined as requiring assistance from another person) or hypoglycemic coma (loss of consciousness or seizures) was analyzed by multivariable regression analysis in children and adolescents with type 1 diabetes from the DPV Diabetes Prospective Follow-up in Germany and Austria in 1995-2003 (n = 15 221 patients) and 2004-2012 (n = 22 318 patients). RESULTS: Mean adjusted rates of severe hypoglycemia and hypoglycemic coma decreased from 19.18 [95% confidence interval (CI), 17.95-20.48] and 4.36 (3.93-4.83) per 100 patient-years in 1995-2003 to 15.01 (14.18-15.88) and 2.15 (1.94-2.39) in 2004-2012, respectively (p < 0.001). From the first to the second period, the relative risk (RR) for severe hypoglycemia and hypoglycemic coma per 1% lower HbA1c decreased from 1.22 (1.15-1.30) to 1.06 (1.01-1.12) and from 1.27 (1.15-1.40) to 1.04 (0.94-1.16), respectively. Risk of severe hypoglycemia and coma declined most in patients with HbA1c levels of 6-6.9% (RR 0.70 and 0.43, respectively) and with HbA1c of 7-7.9% (RR 0.63 and 0.38, respectively). Mean HbA1c levels fell from 8.4% in 1995-2003 to 8.2% in 2004-2012, while the use of insulin pumps, short- and long-acting insulin analogs, and glucose monitoring increased (p < 0.001). CONCLUSIONS: In contrast to 1995-2003, low HbA1c has become a minor risk factor for severe hypoglycemia and coma in pediatric patients with type 1 diabetes in the 2004-2012 period.

Association of Insulin Pump Therapy vs Insulin Injection Therapy With Severe Hypoglycemia, Ketoacidosis, and Glycemic Control Among Children, Adolescents, and Young Adults With Type 1 Diabetes.

Importance: Insulin pump therapy may improve metabolic control in young patients with type 1 diabetes, but the association with short-term diabetes complications is unclear. Objective: To determine whether rates of severe hypoglycemia and diabetic ketoacidosis are lower with insulin pump therapy compared with insulin injection therapy in children, adolescents, and young adults with type 1 diabetes. Design, Setting, and Participants: Population-based cohort study conducted between January 2011 and December 2015 in 446 diabetes centers participating in the Diabetes Prospective Follow-up Initiative in Germany, Austria, and Luxembourg. Patients with type 1 diabetes younger than 20 years and diabetes duration of more than 1 year were identified. Propensity score matching and inverse probability of treatment weighting analyses with age, sex, diabetes duration, migration background (defined as place of birth outside of Germany or Austria), body mass index, and glycated hemoglobin as covariates were used to account for relevant confounders. Exposures: Type 1 diabetes treated with insulin pump therapy or with multiple (≥4) daily insulin injections. Main Outcomes and Measures: Primary outcomes were rates of severe hypoglycemia and diabetic ketoacidosis during the most recent treatment year. Secondary outcomes included glycated hemoglobin levels, insulin dose, and body mass index. Results: Of 30 579 patients (mean age, 14.1 years [SD, 4.0]; 53% male), 14 119 used pump therapy (median duration, 3.7 years) and 16 460 used insulin injections (median duration, 3.6 years). Patients using pump therapy (n = 9814) were matched with 9814 patients using injection therapy. Pump therapy, compared with injection therapy, was associated with lower rates of severe hypoglycemia (9.55 vs 13.97 per 100 patient-years; difference, -4.42 [95% CI, -6.15 to -2.69]; P < .001) and diabetic ketoacidosis (3.64 vs 4.26 per 100 patient-years; difference, -0.63 [95% CI, -1.24 to -0.02]; P = .04). Glycated hemoglobin levels were lower with pump therapy than with injection therapy (8.04% vs 8.22%; difference, -0.18 [95% CI, -0.22 to -0.13], P < .001). Total daily insulin doses were lower for pump therapy compared with injection therapy (0.84 U/kg vs 0.98 U/kg; difference, -0.14 [-0.15 to -0.13], P < .001). There was no significant difference in body mass index between both treatment regimens. Similar results were obtained after propensity score inverse probability of treatment weighting analyses in the entire cohort. Conclusions and Relevance: Among young patients with type 1 diabetes, insulin pump therapy, compared with insulin injection therapy, was associated with lower risks of severe hypoglycemia and diabetic ketoacidosis and with better glycemic control during the most recent year of therapy. These findings provide evidence for improved clinical outcomes associated with insulin pump therapy compared with injection therapy in children, adolescents, and young adults with type 1 diabetes.

Inflammatory Markers in Obese Adolescents with Type 2 Diabetes and Their Relationship to Hepatokines and Adipokines.

OBJECTIVES: To analyze inflammatory markers, adipokines, and hepatokines in obese adolescents with and without type 2 diabetes mellitus (T2DM). STUDY DESIGN: We studied high sensitivity C-reactive protein (hsCRP), tumor necrosis factor (TNF)-α, interleukin-1ß, and interferon-γ, the hepatokines (fetuin-A and fibroblast growth factor [FGF]-21), and the adipokines (adiponectin and leptin) in a cross-sectional study of 74 predominately Caucasian adolescents with T2DM aged 12-18 years and in 74 body mass index (BMI)-, age-, and sex-matched controls. RESULTS: Adolescents with T2DM had significantly higher concentrations of hsCRP, TNF-α, and interleukin-1ß compared with obese controls without T2DM. Interferon-γ was not detectable in obese adolescents with or without T2DM. In multiple linear regression analysis, hsCRP was significantly associated with FGF-21 and BMI, but not with hemoglobin A1c, adiponectin, leptin, fetuin-A, sex, or age. TNF-α was significantly related negatively to leptin, positively to BMI, but not to hemoglobin A1c, adiponectin, fetuin-A, FGF-21 sex, or age in multiple linear regression analysis. CONCLUSIONS: Increased inflammatory markers are associated with T2DM in adolescents. Because hsCRP was related to FGF-21 and TNF-α was associated with leptin, these findings suggest a link between increased levels of these adipokines and hepatokines and chronic inflammation. Future longitudinal studies in humans are necessary to confirm these hypotheses.

Leptin but not adiponectin is related to type 2 diabetes mellitus in obese adolescents.

BACKGROUND: Adipokines have been suggested to be involved in the development of type 2 diabetes mellitus (T2DM). However, studies in humans are controversial and analyzes at the onset of disease are scarce. METHODS: We compared adiponectin and leptin levels between 74 predominately Caucasian adolescents with T2DM and 74 body mass index (BMI)-, age-, and gender-matched controls without T2DM. Adiponectin and leptin were correlated to age, BMI, hemoglobin A1c (HbA1c), blood pressure, and lipids. RESULTS: Adolescents with T2DM showed significant lower leptin levels as compared with controls (18 ± 12 vs. 37 ± 23 ng/mL, p < 0.001), whereas the adiponectin levels did not differ between the adolescents with and without T2DM (5.0 ± 2.5 vs. 4.9 ± 2.5 µg/mL, p = 0.833). The associations between adiponectin and high-density lipoprotein (HDL) cholesterol (r = 0.42), systolic (r = -0.15), and diastolic blood pressure (r = -0.20) were stronger as the associations of leptin to these parameters (all r < 0.07). In multiple linear regression analysis, leptin was significantly and positively associated with BMI [ß-coefficient: 1.3 (95% confidence interval (95% CI): ±0.5), p < 0.001] and female sex [ß-coefficient: 9.7 (95% CI: ±6.7), p = 0.005], and negatively with age [ß-coefficient: -2.3 (95% CI: ±2.1), p < 0.001] and HbA1c [ß-coefficient -3.1 (95% CI: ±2.1), p = 0.011]. Adiponectin was not significantly associated with BMI, HbA1c, age, or gender in multiple linear regression analysis. CONCLUSIONS: Because adiponectin levels did not differ between obese adolescents with and without T2DM, hypoadiponectinemia as observed in obesity seems not to be involved in the genesis of T2DM. The relative hypoleptinemia in obese adolescents with T2DM as compared with obese adolescents without T2DM may contribute to the development of T2DM. Future longitudinal studies in humans are necessary to prove this hypothesis.

Hemoglobin A1c Levels and risk of severe hypoglycemia in children and young adults with type 1 diabetes from Germany and Austria: a trend analysis in a cohort of 37,539 patients between 1995 and 2012.

BACKGROUND: Severe hypoglycemia is a major complication of insulin treatment in patients with type 1 diabetes, limiting full realization of glycemic control. It has been shown in the past that low levels of hemoglobin A1c (HbA1c), a marker of average plasma glucose, predict a high risk of severe hypoglycemia, but it is uncertain whether this association still exists. Based on advances in diabetes technology and pharmacotherapy, we hypothesized that the inverse association between severe hypoglycemia and HbA1c has decreased in recent years. METHODS AND FINDINGS: We analyzed data of 37,539 patients with type 1 diabetes (mean age ± standard deviation 14.4 ± 3.8 y, range 1-20 y) from the DPV (Diabetes Patienten Verlaufsdokumentation) Initiative diabetes cohort prospectively documented between January 1, 1995, and December 31, 2012. The DPV cohort covers an estimated proportion of >80% of all pediatric diabetes patients in Germany and Austria. Associations of severe hypoglycemia, hypoglycemic coma, and HbA1c levels were assessed by multivariable regression analysis. From 1995 to 2012, the relative risk (RR) for severe hypoglycemia and coma per 1% HbA1c decrease declined from 1.28 (95% CI 1.19-1.37) to 1.05 (1.00-1.09) and from 1.39 (1.23-1.56) to 1.01 (0.93-1.10), respectively, corresponding to a risk reduction of 1.2% (95% CI 0.6-1.7, p<0.001) and 1.9% (0.8-2.9, p<0.001) each year, respectively. Risk reduction of severe hypoglycemia and coma was strongest in patients with HbA1c levels of 6.0%-6.9% (RR 0.96 and 0.90 each year) and 7.0%-7.9% (RR 0.96 and 0.89 each year). From 1995 to 2012, glucose monitoring frequency and the use of insulin analogs and insulin pumps increased (p<0.001). Our study was not designed to investigate the effects of different treatment modalities on hypoglycemia risk. Limitations are that associations between diabetes education and physical activity and severe hypoglycemia were not addressed in this study. CONCLUSIONS: The previously strong association of low HbA1c with severe hypoglycemia and coma in young individuals with type 1 diabetes has substantially decreased in the last decade, allowing achievement of near-normal glycemic control in these patients. Please see later in the article for the Editors' Summary.

Demographic, Clinical, Management, and Outcome Characteristics of 8,004 Young Children With Type 1 Diabetes.

OBJECTIVE: To compare demographic, clinical, and therapeutic characteristics of children with type 1 diabetes age <6 years across three international registries: Diabetes Prospective Follow-Up Registry (DPV; Europe), T1D Exchange Quality Improvement Network (T1DX-QI; U.S.), and Australasian Diabetes Data Network (ADDN; Australasia). RESEARCH DESIGN AND METHODS: An analysis was conducted comparing 2019-2021 prospective registry data from 8,004 children. RESULTS: Mean ± SD ages at diabetes diagnosis were 3.2 ± 1.4 (DPV and ADDN) and 3.7 ± 1.8 years (T1DX-QI). Mean ± SD diabetes durations were 1.4 ± 1.3 (DPV), 1.4 ± 1.6 (T1DX-QI), and 1.5 ± 1.3 years (ADDN). BMI z scores were in the overweight range in 36.2% (DPV), 41.8% (T1DX-QI), and 50.0% (ADDN) of participants. Mean ± SD HbA1c varied among registries: DPV 7.3 ± 0.9% (56 ± 10 mmol/mol), T1DX-QI 8.0 ± 1.4% (64 ± 16 mmol/mol), and ADDN 7.7 ± 1.2% (61 ± 13 mmol/mol). Overall, 37.5% of children achieved the target HbA1c of <7.0% (53 mmol/mol): 43.6% in DPV, 25.5% in T1DX-QI, and 27.5% in ADDN. Use of diabetes technologies such as insulin pump (DPV 86.6%, T1DX 46.6%, and ADDN 39.2%) and continuous glucose monitoring (CGM; DPV 85.1%, T1DX-QI 57.6%, and ADDN 70.5%) varied among registries. Use of hybrid closed-loop (HCL) systems was uncommon (from 0.5% [ADDN] to 6.9% [DPV]). CONCLUSIONS: Across three major registries, more than half of children age <6 years did not achieve the target HbA1c of <7.0% (53 mmol/mol). CGM was used by most participants, whereas insulin pump use varied across registries, and HCL system use was rare. The differences seen in glycemia and use of diabetes technologies among registries require further investigation to determine potential contributing factors and areas to target to improve the care of this vulnerable group.

HLA-typing, clinical, and immunological characterization of youth with type 2 diabetes mellitus phenotype from the German/Austrian DPV database.

AIM: To characterize the clinical and immunological features of HLA-typed youth with pediatric onset of type 2 diabetes mellitus (T2DM). METHOD: One hundred and seven patients with clinically diagnosed T2DM (aged ≤20 yr at diagnosis) were examined. DNA and serum, obtained after a median diabetes duration of 2.2 (Q1-Q3: 0.8-4.6) yr, were used for centralized HLA-typing and autoantibody (GADA, IA-2A, ZnT8A) measurements. RESULTS: 64.6% of patients were female and median age at diagnosis was 13.8 (Q1-Q3: 11.6-15.4) yr. Patients were obese [median body mass index-standard deviation score (BMI-SDS): 2.6 (2.0-3.1)], 88.0% had a family history of diabetes and 40.2% a migration background. Islet autoantibodies were detected in 16 (15.0%), among which 7 (6.5%) had multiple islet autoantibodies. Autoantibody positive patients had poorer metabolic control than autoantibody negative patients [glycosylated hemoglobin A1c (HbA1c): 8.1 (6.9-10.1) % vs. 6.6 (5.9-8.0) %; p = 0.033], while patients with HLA-DR genetic risk had higher BMI-SDS than those with HLA-DRXX [2.6 (2.4-3.7) vs. 2.4 (1.7-2.9); p = 0.007]. Metabolic syndrome (61.7%), microalbuminuria (13.4%), and retinopathy (3.9%) were diagnosed. Therapies used were lifestyle only (35.5%), oral anti-diabetics (OAD) only (43.3 %), insulin + OAD (15.9%) and insulin only (5.6%). Patients with ß-cell autoimmunity or HLA-DR genetic risk more frequently used insulin than confirmed T2DM patients (50.0 vs. 22.0%; p = 0.037) and less often had diabetic relatives (61.1 vs. 86.0%; p = 0.030). CONCLUSION: T2DM was confirmed in about 90% of patients while about 10% with ß-cell autoimmunity or HLA-DR genetic risk likely had either T1.5DM or 'double diabetes' or an unknown diabetes type.

Metabolic control during the first two years of the COVID-19 pandemic in pediatric patients with type 1 diabetes: results from the German DPV initiative.

AIM: To assess effects of the SARS-CoV2 pandemic on metabolic control in youth with type 1 diabetes (T1D) in Germany in a population-based analysis. METHODS: Data from 33,372 pediatric T1D patients from the Diabetes Prospective Follow-up (DPV) registry, with face-to-face visits or telemedicine contacts in the years 2019-2021, were available. Datasets from eight time periods between March 15, 2020, and December 31, 2021, according to SARS-CoV2 incidence waves, were compared to those from five control time periods. Parameters of metabolic control were assessed with adjustment for sex, age, diabetes duration, and repeated measurements. Laboratory-measured HbA1c values and those estimated from CGM were aggregated into a combined glucose indicator (CGI). RESULTS: There was no clinically relevant difference in metabolic control between pandemic and control time periods with adjusted CGI values ranging from 7.61% [7.60-7.63] (mean [95% confidence interval (CI)]) in the third quarter of 2019 to 7.83% [7.82-7.85] in the time period from January 1 to March 15 2020, in the other control periods, and during the pandemic, CGI values lay between these values. BMI-SDS rose during the pandemic from 0.29 [0.28-0.30] (mean [95% CI]) in the third quarter of 2019 to 0.40 [0.39-0.41] during the fourth wave. Adjusted insulin dose rose during the pandemic. Event rates for hypoglycemic coma and diabetic ketoacidosis remained unchanged. CONCLUSIONS: We found no clinically relevant change of glycemic control or incidence of acute diabetes complications during the pandemic. The observed BMI increase may represent an important health risk for youth with T1D.