Insulin Secretion Defect in Children and Adolescents with Obesity: Clinical and Molecular Genetic Characterization.

Introduction: Childhood obesity is increasing worldwide and presents as a global health issue due to multiple metabolic comorbidities. About 1% of adolescents with obesity develop type 2 diabetes (T2D); however, little is known about the genetic and pathophysiological background at young age. The objective of this study was to assess the prevalence of impaired glucose regulation (IGR) in a large cohort of children and adolescents with obesity and to characterize insulin sensitivity and insulin secretion. We also wanted to investigate adolescents with insulin secretion disorder more closely and analyze possible candidate genes of diabetes in a subcohort. Methods: We included children and adolescents with obesity who completed an oral glucose tolerance test (OGTT, glucose + insulin) in the outpatient clinic. We calculated Matsuda index, the area under the curve (AUC (Ins/Glu)), and an oral disposition index (ISSI-2) to estimate insulin resistance and beta-cell function. We identified patients with IGR and low insulin secretion (maximum insulin during OGTT < 200 mU/l) and tested a subgroup using next generation sequencing to identify possible mutations in 103 candidate genes. Results: The total group consisted of 903 children and adolescents with obesity. 4.5% showed impaired fasting glucose, 9.4% impaired glucose tolerance, and 1.2% T2D. Matsuda index and Total AUC (Ins/Glu) showed a hyperbolic relationship. Out of 39 patients with low insulin secretion, we performed genetic testing on 12 patients. We found five monogenetic defects (ABCC8 (n = 3), GCK (n = 1), and GLI2/PTF1A (n = 1)). Conclusion: Using surrogate parameters of beta-cell function and insulin resistance can help identify patients with insulin secretion disorder. A prevalence of 40% mutations of known diabetes genes in the subgroup with low insulin secretion suggests that at least 1.7% of patients with adolescent obesity have monogenic diabetes. A successful molecular genetic diagnosis can help to improve individual therapy.

Clinical characteristics and outcomes of children, adolescents and young adults with overweight or obesity and mental health disorders.

BACKGROUND: Mental disorders are important comorbidities in youth with obesity. Aim was to describe the clinical characteristics and outcome of youth with overweight or obesity having comorbid mental disorders. METHODS: Data from children, adolescents, and young adults (age 6-30 years) with overweight or obesity and mental disorders (depression, anxiety disorder, eating disorder, attention deficit disorder (ADHD)) from 226 centers in Germany and Austria participating in the Adiposity Patient Registry (APV) were analyzed and compared with those without reported mental disorders using regression modeling. RESULTS: Mental health comorbidity was reported in a total of 3969 out of 114,248 individuals with overweight or obesity: 42.5% had ADHD, 31.3% anxiety disorders, 24.3% depression, and 12.9% eating disorders. Being male (OR 1.39 (95%CI 1.27;1.52)), of older age (1.42 (1.25;1.62)), or with extreme obesity (1.45 (1.30;1.63)) were most strongly associated with mental health comorbidity. Regression analysis showed that mean BMI-SDS was significantly higher in the group of individuals with depression and eating disorders (BMI-SDS 2.13 (lower; upper mean:2.09;2.16) and 2.22 (2.17;2.26)) compared to those without reported mental health comorbidity (BMI-SDS 2.008 (2.005;2.011); p < 0.001). In youth with ADHD, BMI-SDS was lower compared to those without reported mental disorders (BMI-SDS 1.91 (1.89;1.93) vs 2.008 (2.005;2.011); p < 0.001). Proportion of severe obesity was higher in individuals with depression (23.7%), anxiety disorders (17.8%), and eating disorders (33.3%), but lower in ADHD (10.3%), compared to those without reported mental disorders (13.5%, p < 0.002). Proportions of dyslipidaemia and abnormal carbohydrate metabolism were not different in youth with and without reported mental health comorbidity. BMI-SDS change after one year of lifestyle intervention program ranged between -0.22 and -0.16 and was similar in youth without and with different mental disorders. CONCLUSION: Health care professionals caring for youth with overweight or obesity should be aware of comorbid mental disorders and regular mental health screening should be considered.

Family structures and parents' occupational models: its impact on children's diabetes.

AIMS: This study examines how family-related factors influence the management of children and adolescents with type 1 diabetes (T1DM). We investigate the relationship between family patterns, parental work schedules and metabolic control. MATERIALS AND METHODS: We analysed data from a nationwide diabetes survey (DPV) focusing on HbA1c, severe hypoglycaemia, diabetic ketoacidosis, hospital admissions and inpatient treatment duration. We used linear regression and negative binomial regression models. Our study includes 15,340 children under the age of 18 with data on family structure and parental division of labour. RESULTS: Children from two-parent households have better HbA1c outcomes than children from single-parent, blended or no-parent households (p < .0001). Higher HbA1C levels are associated with children living with an unemployed father, as opposed to those with full-time working parents or with a full-time working father and a part-time working mother (p < .001). CONCLUSIONS: These findings emphasise the importance of carefully considering family structure and working time models in the management of paediatric T1DM. Our results highlight risk factors within the family environment and emphasise the need for family-focused counselling of high-risk patients or severe cases in clinical practice.

The WHO-5 well-being questionnaire in type 1 diabetes: screening for depression in pediatric and young adult subjects.

OBJECTIVES: To evaluate the WHO-5 tool in pediatric and young adult subjects with type 1 diabetes, and to analyse associations with demographic/psychological characteristics. METHODS: We included 944 patients with type 1 diabetes 9-25 years of age, documented in the Diabetes Patient Follow-up Registry between 2018 and 2021. We used ROC curve analysis to determine optimal cut-off values for the WHO-5 scores to predict psychiatric comorbidity (ICD-10-diagnoses) and analysed associations with obesity, HbA1c, therapy regimen, and lifestyle via logistic regression. All models were adjusted for age, sex, and diabetes duration. RESULTS: In the total cohort (54.8% male), the median score was 17 [Q1-Q3: 13-20]. Adjusted for age, sex, and diabetes duration, the WHO-5 scores<13 were associated with psychiatric comorbidity, especially depression and ADHD, poor metabolic control, obesity, smoking, and less physical activity. There were no significant associations with therapy regimen, hypertension, dyslipidemia, or social deprivation. In subjects with any diagnosed psychiatric disorder (prevalence 12.2%), the odds ratio for conspicuous scores was 3.28 [2.16-4.97] compared to patients without mental disorders. Using ROC analysis, the optimal cut-off to anticipate any psychiatric comorbidity in our cohort was 15, and 14 for depression. CONCLUSIONS: The WHO-5 questionnaire is a useful tool to predict depression in adolescents with type 1 diabetes. ROC analysis suggests a slightly higher cut-off for conspicuous questionnaire results compared to previous reports. Due to the high rate of deviant results, adolescents and young adults with type-1 diabetes should be screened regularly for signs of psychiatric comorbidity.

Diabetes and gender incongruence: frequent mental health issues but comparable metabolic control - a DPV registry study.

Context: The condition when a person's gender identity does not match the sex assigned at birth is called gender incongruence (GI). Numbers of GI people seeking medical care increased tremendously over the last decade. Diabetes mellitus is a severe and lifelong disease. GI combined with diabetes may potentiate into a burdensome package for affected people. Objective: The study aimed to characterize people with GI and diabetes from an extensive standardized registry, the Prospective Diabetes Follow-up Registry (DPV), and to identify potential metabolic and psychological burdens. Methods: We compared demographic and clinical registry data of persons with type 1 or type 2 diabetes and GI to those without GI and used propensity score matching (1:4) with age, diabetes duration and treatment year as covariates. Results: 75 persons with GI, 49 with type 1 and 26 with type 2 diabetes were identified. HbA1c values were similar in matched persons with type 1 or 2 diabetes and GI compared to those without GI. Lipid profiles showed no difference, neither in type 1 nor in type 2 diabetes. Diastolic blood pressure was higher in the type 1 and GI group than in those without, whereas systolic blood pressure showed comparable results in all groups. Depression and anxiety were significantly higher in GI people (type 1 and 2). Non-suicidal self-injurious behaviour was more common in type 1 and GI, as was suicidality in type 2 with GI. Conclusion: Mental health issues are frequent in people with diabetes and GI and need to be specially addressed in this population.

Worse glycemic control, higher rates of diabetic ketoacidosis, and more hospitalizations in children, adolescents, and young adults with type 1 diabetes and anxiety disorders.

The aim of the study was to explore the metabolic characteristics and outcome parameters in youth with type 1 diabetes and anxiety disorders. HbA1c levels, rates of severe hypoglycemia, diabetic ketoacidosis (DKA), and hospital admission in children, adolescents, and young adults with type 1 diabetes and an anxiety disorder from 431 diabetes-care-centers participating in the nationwide German/Austrian/Swiss/Luxembourgian diabetes survey DPV were analyzed and compared with youth without anxiety disorders. Children, adolescents, and young adults with type 1 diabetes and anxiety disorders (n = 1325) had significantly higher HbA1c (8.5% vs. 8.2%), higher rates of DKA (4.2 vs. 2.5 per 100 patient-years), and higher hospital admission rates (63.6 vs. 40.0 per 100 patient-years) than youth without anxiety disorders (all p < 0.001). Rates of severe hypoglycemia did not differ. Individuals with anxiety disorders other than needle phobia (n = 771) had higher rates of DKA compared to those without anxiety disorders (4.2 vs. 2.5 per 100 patient-years, p = 0.003) whereas the rate of DKA in individuals with needle phobia (n = 555) was not significantly different compared to those without anxiety disorders. Children, adolescents, and young adults with anxiety disorders other than needle phobia had higher hospitalization rates (73.7 vs. 51.4 per 100 patient-years) and more inpatient days (13.2 vs. 10.1 days) compared to those with needle phobia (all p < 0.001). Children, adolescents, and young adults with type 1 diabetes and anxiety disorders had worse glycemic control, higher rates of DKA, and more hospitalizations compared to those without anxiety disorders. Because of the considerable consequences, clinicians should screen for comorbid anxiety disorders in youth with type 1 diabetes.

Non-suicidal self-injury in adolescents and young adults with type 1 diabetes: clinical characteristics from a German diabetes-patient registry (DPV).

The aim was to examine the relations between non-suicidal self-injury (NSSI) and clinical parameters as well as other psychiatric comorbidities in adolescents and young adults with type 1 diabetes mellitus (T1D). Patients aged 8-<=25 years with T1D and documented NSSI from the DPV database (n=167) were compared to a control group with T1D without NSSI or other psychiatric comorbidities (n=76,050) using multivariable regression models, adjusted for demographics. Clinical diabetes-related outcomes (haemoglobin A1c (HbA1c), daily insulin dose, diabetic ketoacidosis (DKA), hypoglycaemia, number of hospital days, number of hospital admissions) were analysed. NSSI patients had significantly higher HbA1c (%): (+1.1 [0.8; 1.4]), higher daily insulin doses: (+0.08 (U/kg), [0.02; 0.13]), more DKA events per patient year: (+1.79 [1.22; 2.37]), more hospital days per patient year: (+0.25 [0.20; 0.29]) and more frequent hospital admissions per patient year: (+0.93 [0.79; 1.06]) compared to T1D patients without NSSI or other psychiatric comorbidities (differences of adjusted estimates [confidence interval]). This is the first study to investigate the association between NSSI and T1D. We revealed that NSSI is significantly related to diabetes outcomes in adolescent T1D patients. There should be an increased awareness for NSSI in the care for adolescents and young adults with T1D.

Coeliac disease is associated with depression in children and young adults with type 1 diabetes: results from a multicentre diabetes registry.

AIMS: To analyse the association between coeliac disease (CD) and depression in children, adolescents, and young adults with type 1 diabetes (T1D). METHODS: We included 79,067 T1D patients aged 6-20 years, with at least six months of diabetes duration, and treatment data between 1995 and 2019 were documented in the diabetes patient follow-up registry. We categorized patients into four groups: T1D only (n = 73,699), T1 + CD (n = 3379), T1D + depression (n = 1877), or T1D + CD + depression (n = 112). RESULTS: CD and depression were significantly associated (adjusted OR: 1.25 [1.03-1.53]). Females were more frequent in both the depression and the CD group compared with the T1D only group. Insulin pumps were used more frequently in T1D + CD and T1D + depression compared with T1D only (both p < .001). HbA1c was higher in T1D + depression (9.0% [8.9-9.0]), T1D + CD + depression (8.9% [8.6-9.2]), both compared with T1D only (8.2% [8.2-8.2], all p < .001). We found comorbid autism, attention deficit hyperactivity disorder, anxiety, schizophrenia, and eating disorders more frequently in the T1D + CD + depression group compared with T1D only (all p < .001). CONCLUSIONS: CD and depression are associated in young T1D patients. The double load of T1D and CD may lead to an increased risk for depression. Depression was associated with additional psychological and neurological comorbidities. Aside from imperative CD screening after T1D diagnosis and regular intervals, depression screening might be helpful in routine care, especially in patients with diagnosed CD.

Are psychiatric disorders associated with thyroid hormone therapy in adolescents and young adults with type 1 diabetes?

BACKGROUND: To evaluate the association between thyroid autoimmunity and psychiatric disorders (depression, anxiety, eating disorder, schizophrenia or attention-deficit/hyperactivity disorder) among adolescents and young adults with type 1 diabetes (11-25 years). METHODS: We compared 9368 type 1 diabetes patients with thyroid autoimmunity (3789 of them treated with levothyroxine) with 62 438 type 1 diabetes patients without any thyroid disease from a multicentre diabetes patient follow-up registry (DPV) in terms of psychiatric disorders. Thyroid autoimmunity was defined as documented diagnosis of Hashimoto thyroiditis or positive antibodies against thyroid peroxidase or thyroglobulin. Multivariable logistic regression models were used to calculate odds ratios for the respective psychiatric disorders in type 1 diabetes patients with thyroid autoimmunity (overall and stratified by levothyroxine therapy) compared to type 1 diabetes patients without thyroid diseases (reference). RESULTS: Of the 9368 patients with thyroid autoimmunity, 62% were female with a median (Q1-Q3) age of 16.3 (14.2-17.6) years. Thyroid autoimmunity (with or without levothyroxine therapy) revealed a slight, but significant higher chance for depression (odds ratio [OR], 1.35, 95% confidence interval [CI], 1.19, 1.52), eating disorder (OR, 1.25, CI, 1.03, 1.51), attention-deficit/hyperactivity disorder (OR, 1.22, CI, 1.07, 1.39) and schizophrenia (OR, 1.63, CI, 1.04, 2.56). In individuals with prescribed levothyroxine therapy because of thyroid dysfunction significantly higher odds for depression (OR, 1.63, CI, 1.34, 1.99), anxiety (OR, 1.60, CI, 1.18, 2.18), and attention-deficit/hyperactivity disorder (OR, 1.71, CI, 1.38, 2.12) were observed compared to reference. Thyroid autoimmunity without required levothyroxine therapy revealed no differences to the reference group. CONCLUSIONS: Patients on levothyroxine had significantly higher odds for psychiatric disorders, but thyroid autoimmunity in terms of high antibody levels only did not show higher odds for any psychiatric disorder.

Psychological care in children and adolescents with type 1 diabetes in a real-world setting and associations with metabolic control.

BACKGROUND: International guidelines recommend psychosocial care for children and adolescents with type 1 diabetes. OBJECTIVE: To assess psychological care in children and adolescents with type 1 diabetes in a real-world setting and to evaluate associations with metabolic outcome. METHODS: Delivery of psychological care, HbA1c, and rates of severe hypoglycemia and diabetic ketoacidosis (DKA) in children and adolescents with type 1 diabetes from 199 diabetes care centers participating in the German diabetes survey (DPV) were analyzed. RESULTS: Overall, 12 326 out of 31 861 children with type 1 diabetes were supported by short-term or continued psychological care (CPC). Children with psychological care had higher HbA1c (8.0% vs 7.7%, P<.001) and higher rates of DKA (0.032 vs 0.021 per patient-year, P<.001) compared with children without psychological care. In age-, sex-, diabetes duration-, and migratory background-matched children, HbA1c stayed stable in children supported by CPC during follow-up (HbA1c 8.5% one year before psychological care started vs 8.4% after two years, P = 1.0), whereas HbA1c was lower but increased significantly by 0.3% in children without psychological care (HbA1c 7.5% vs 7.8% after two years, P <.001). Additional HbA1c-matching showed that the change in HbA1c during follow-up was not different between the groups, but the percentage of children with severe hypoglycemia decreased from 16.3% to 10.7% in children receiving CPC compared with children without psychological care (5.5% to 5.8%, P =.009). CONCLUSIONS: In this real-world setting, psychological care was provided to children with higher HbA1c levels. CPC was associated with stable glycemic control and less frequent severe hypoglycemia during follow-up.

Estimated Glomerular Filtration Rates Calculated by New and Old Equations in Children and Adolescents With Type 1 Diabetes-What to Do With the Results?

Background: To apply and evaluate various equations for estimated glomerular filtration rates (eGFR) in a large paediatric type 1 diabetes population and compare the eGFR values with urinary creatinine clearances (UCC) in a subset of patients. Methods: Six eGFR formulae applicable for children and adolescents were used for calculation of eGFR values in 36,782 children/adolescents with type 1 diabetes. Via regression models, factors influencing eGFR values were identified. eGFR values were compared with measured UCC in 549 patients. Spearman correlation coefficients were given to assess the relation of eGFR and UCC values. Bland-Altman-Plots with corresponding linear regression were drawn to evaluate the agreement between eGFR and UCC. Results: eGFR values differed widely depending on the formula used, resulting in a percentage of pathological values <60 mL/min/1.73 m2 up to 8%. Regression models showed age, sex, and duration of diabetes as influencing factors. Microalbuminuria was associated with significantly higher eGFR values for all formulae. In comparison of eGFR with UCC, the highest correlation coefficient was 0.33, the lowest 0.01. Bland-Altman-Plots demonstrated graphically a poor agreement between eGFR and UCC, regardless of the formula used. Conclusions: The broad range of eGFR values indicate that an ideal eGFR formula for children and adolescence with T1D is yet missing. The minimal agreement between measured UCC and eGFR values urges us to be careful in application and interpretation of eGFR values regardless of the formula used.

Worse Metabolic Control and Dynamics of Weight Status in Adolescent Girls Point to Eating Disorders in the First Years after Manifestation of Type 1 Diabetes Mellitus: Findings from the Diabetes Patienten Verlaufsdokumentation Registry.

OBJECTIVE: To assess indications of eating disorders in girls with type 1 diabetes mellitus (T1DM). STUDY DESIGN: In total 31 556 girls aged >6 months and <23 years of age with T1DM from the Diabetes Patienten Verlaufsdokumentation (DPV) cohort were analyzed including 155 (0.49%) girls with anorexia nervosa, 85 (0.27%) girls with bulimia nervosa, 45 (0.14%) girls with binge eating disorder, and 229 (0.73%) girls with eating disorders not otherwise specified. Patient characteristics, weight changes, numbers of patients with severe hypoglycemia and diabetic ketoacidosis (DKA), changes of glycosylated hemoglobin A1c (HbA1c) levels, use of pumps, and prevalence of celiac disease and autoimmune thyroiditis were compared between girls with and without eating disorders. Multiple logistic regression analyses were performed. RESULTS: Eating disorders were significantly associated with late pubertal age, nonusage of pumps, no migration background, increased HbA1c levels, increased frequencies of DKA and severe hypoglycemia, and celiac disease were not related to eating disorders. Significant differences in HbA1c levels, prevalence of DKA and severe hypoglycemia between girls with and without eating disorders were already detectable in the first years after onset of T1DM. A decrease of body mass index (BMI)-SDS increased the risk for comorbid anorexia nervosa (7.1-fold [95% CI 3.6-14.3] compared with stable BMI-SDS, 6.9-fold [95%CI 3.4-14.1] compared with increase of BMI-SDS). CONCLUSIONS: Poor metabolic control and increased rates of DKA and severe hypoglycemia in the first years after manifestation of T1DM can be hints for eating disorders in girls with T1DM, and weight loss is specific for anorexia nervosa. These clinical features should lead to screening for eating disorders especially at a late pubertal age.

Trajectories of Body Mass Index from Childhood to Young Adulthood among Patients with Type 1 Diabetes-A Longitudinal Group-Based Modeling Approach Based on the DPV Registry.

OBJECTIVE: To identify distinct longitudinal patterns of body mass index (BMI) z score in type 1 diabetes from childhood to young adulthood and secondly to determine sex differences as well as associated clinical covariates. STUDY DESIGN: A total of 5665 patients with type 1 diabetes (51% male) with follow-up from 8 to 20 years of age from the multicenter diabetes prospective registry DPV were studied (baseline diabetes duration ≥1 years, BMI z score aggregated per year of life). Latent class growth modeling (SAS: PROC TRAJ) was applied to analyze BMI z score over time. RESULTS: Six distinct BMI z score trajectories were identified (group 1: 7% of patients, group 2: 22%, group 3: 20%, group 4: 16%, group 5: 25%, and group 6: 10%). Group 1, 2, 5, and 6 had an almost stable BMI z score, either in the low, near-normal, high stable, or chronic overweight range. Group 3 (60% girls) increased their BMI during puberty, whereas group 4 (65% boys) had a BMI decrease. Similar patterns were observed for girls only, whereas boys followed nearly stable trajectories without fluctuation over time. Between the near-normal and the other groups, significant differences (P < .05) in sex ratio, migration background, mental health, height z score, glycated hemoglobin A1c, diabetes treatment, dyslipidemia, hypertension, and smoking were observed. CONCLUSIONS: In youth with type 1 diabetes, a great heterogeneity of BMI z score trajectories exists that highlight the importance of personalized sex-specific intervention programs for subjects at risk for unfavorable BMI development.

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.

Insulin Pumps in Type 1 Diabetes with Mental Disorders: Real-Life Clinical Data Indicate Discrepancies to Recommendations.

BACKGROUND: The latest American Association of Clinical Endocrinologists/American College of Endocrinologists consensus statement published in 2014 does not recommend continuous subcutaneous insulin infusion (CSII) in patients with mental health problems. This study investigated the use and discontinuation of CSII in daily routine care of type 1 diabetes (T1D) patients with or without comorbid mental disorders. MATERIALS AND METHODS: Insulin-treated T1D patients (n = 48,700) between 5 and 30 years of age (median [interquartile range], 15.6 [12.0-17.7] years) from the German/Austrian diabetes patient follow-up registry (DPV) were studied. A comorbid diagnosis and/or specific treatment of mental disorder was documented in 3,158 (6.5%) patients: attention-deficit hyperactivity disorder (ADHD), n = 1,352; depression, n = 692; eating disorders, n = 395; needle phobia, n = 319; anxiety/obsessive compulsive disorder (OCD), n = 231; and psychosis and/or neuroleptic medication, n = 169. Multivariable logistic regression with age, sex, diabetes duration, and migration background as independent variables was used to compare groups. RESULTS: After adjustment for confounders, use of CSII was more common in patients with depression (41.5%), anxiety/OCD (41.4%), or needle phobia (75.8%) compared with patients without mental disorders (34.6%) (each P < 0.05). By contrast, psychotic patients (26.2%, P < 0.05) used CSII less often, and patients with ADHD (36.3%) or eating disorders (33.9%) used it with a similar frequency. Compared with patients without mental disorders (5.1%), the rate of CSII discontinuation was higher in patients with ADHD (9.7%), depression (8.2%), or eating disorders (10.0%) (P < 0.05, respectively) but similar in patients with anxiety/OCD (6.0%), psychosis (4.2%), or needle phobia (5.3%). CONCLUSIONS: In routine diabetes care, CSII use and discontinuation vary widely among T1D patients with mental disorders and indicate clear differences from the latest recommendations.

Comparison of glycemic and metabolic control in youth with type 1 diabetes with and without antipsychotic medication: analysis from the nationwide German/Austrian Diabetes Survey (DPV).

OBJECTIVE: The objective of this study was to explore metabolic risk factors and glycemic control in youth with type 1 diabetes treated with typical or atypical antipsychotics. RESEARCH DESIGN AND METHODS: Data for 60,162 subjects with type 1 diabetes up to the age of 25 years registered in the nationwide German/Austrian Diabetes Survey were included in the analysis. BMI; HbA1c; treatment strategy; prevalence of hypertension, dyslipidemia, microalbuminuria, and retinopathy; frequency of hypoglycemia and diabetic ketoacidosis (DKA); and immigrant status among subjects treated with typical or atypical antipsychotics were compared with those without antipsychotic medication and analyzed by regression analysis. RESULTS: A total of 291 subjects with type 1 diabetes (median diabetes duration 7.2 years) received antipsychotic medications (most commonly risperidone). Subjects treated with antipsychotics had a higher BMI (P = 0.004) and dyslipidemia was more frequent (P = 0.045) compared with subjects not receiving antipsychotic medication. Frequencies of severe hypoglycemia and DKA were significantly higher in subjects receiving antipsychotics (P < 0.001). The prevalences of hypertension, microalbuminuria, and retinopathy were not different. In subjects treated with typical antipsychotics, glycemic control did not differ compared with those who did not receive antipsychotic medications. By contrast, subjects treated with atypical antipsychotics had higher HbA1c levels (P = 0.022). CONCLUSIONS: This analysis from a real-life survey demonstrated that subjects with antipsychotic medication had worse glycemic control and a higher rate of acute complications compared with those without antipsychotic medication. Health care teams caring for youth with type 1 diabetes taking antipsychotic medication need to know about these findings. We suggest monitoring metabolic risk factors as well as providing diabetes education about prevention of acute complications.

Meglitinide analogues in adolescent patients with HNF1A-MODY (MODY 3).

For pediatric patients with hepatocyte nuclear factor-1A (HNF1A)-maturity-onset diabetes of the young (MODY 3), treatment with sulfonylureas is recommended. In adults with HNF1A-MODY, meglitinide analogues achieve lower postprandial glucose levels and pose a lower risk of delayed hypoglycemia compared with sulfonylureas. This therapy has not yet been reviewed in pediatric patients. We report on meglitinide analogue treatment in 3 adolescents with HNF1A-MODY. Case 1 (14-year-old girl) was diagnosed asymptomatically but had an hemoglobin A1c (HbA1c) level of 7.4%; her father had been recently diagnosed with HNF1A-MODY. With repaglinide, her HbA1c level decreased to 5.5%, with no hypoglycemic episodes. Case 2 (14-year-old boy) was diagnosed incidentally with glucosuria (HbA1c level: 7.0%) and was treated with insulin. After the HNF1A-MODY diagnosis, he was switched to glibenclamide. Due to several hypoglycemic episodes, treatment was changed to nateglinide and his HbA1c level decreased to 6.2% with no further hypoglycemic episodes. Case 3 (11-year-old girl) presented with polyuria and polydipsia (HbA1c level: 10.1%) and was initially treated with insulin. After the HNF1A-MODY diagnosis, treatment was changed to repaglinide. She was obese (BMI: 28.8 kg/m(2); z-score: +2.2), and glucose control with repaglinide alone was insufficient. Therefore, neutral protamine Hagedorn insulin (0.27 U/kg per day) was added. With this combination therapy, her HbA1c level decreased to 8.2%. The use of meglitinides in these 3 adolescent patients was well tolerated and effective. Furthermore, hypoglycemic episodes were rare compared with treatment with insulin or sulfonylureas. We therefore suggest considering meglitinides as the primary oral treatment option for adolescents suffering from HNF1A-MODY.

Natural course of untreated microalbuminuria in children and adolescents with type 1 diabetes and the importance of diabetes duration and immigrant status: longitudinal analysis from the prospective nationwide German and Austrian diabetes survey DPV.

OBJECTIVE: To identify risk factors for the development and progression of untreated persistent microalbuminuria in children and adolescents with type 1 diabetes. DESIGN AND METHODS: A total number of 683 children and adolescents with type 1 diabetes recruited from the prospective nationwide German and Austrian diabetes survey (DPV) were included in the analysis. Inclusion criteria were onset of type 1 diabetes under the age of 11 years, diabetes duration of more than 1 year and continuous follow-up over 5 years with at least two documented urine analyses per year. Subjects treated with angiotensin-converting enzyme inhibitors were excluded. Risk factors such as sex, body mass index SDS, diabetes duration, HbA1c, total cholesterol, HDL-cholesterol, LDL-cholesterol, systolic and diastolic blood pressure, and immigrant status were analysed by logistic regression. RESULTS: At baseline (age 10.5 ± 0.1 years, diabetes duration 4.6 ± 2.4 years and HbA1c 7.4 ± 1.1%), 75.6% of children had normoalbuminuria, 15.7% had intermittent microalbuminuria, 8.6% had persistent microalbuminuria and 0.1% had macroalbuminuria. After a follow-up of 5 years, 59.4% of adolescents continued to have normoalbuminuria, 18.4% had progression, 15.2% had regression of microalbuminuria, and in 6.9% of the subjects, microalbuminuria remained unchanged. We found significant associations between persistent microalbuminuria at baseline and during each year of follow-up (P < 0.0001). Logistic regression analysis identified diabetes duration and immigrant status as significant factors for microalbuminuria (P = 0.009 and P = 0.009). CONCLUSIONS: The survey in a real-world setting shows that diabetes duration and immigrant status are risk factors for the development and progression of untreated microalbuminuria in children and adolescents with type 1 diabetes.

Associations between media consumption habits, physical activity, socioeconomic status, and glycemic control in children, adolescents, and young adults with type 1 diabetes.

OBJECTIVE: To evaluate the relationship between media consumption habits, physical activity, socioeconomic status, and glycemic control in youths with type 1 diabetes. RESEARCH DESIGN AND METHODS: In the cross-sectional study, self-report questionnaires were used to assess media consumption habits, physical activity, and socioeconomic status in 296 children, adolescents, and young adults with type 1 diabetes. Clinical data and HbA(1c) levels were collected. Risk factors were analyzed by multiple regression. RESULTS: Youths with type 1 diabetes (aged 13.7 ± 4.1 years, HbA(1c) 8.7 ± 1.6%, diabetes duration 6.1 ± 3.3 years) spent 2.9 ± 1.8 h per day watching television and using computers. Weekly physical activity was 5.1 ± 4.5 h. Multiple regression analysis identified diabetes duration, socioeconomic status, and daily media consumption time as significant risk factors for glycemic control. CONCLUSIONS: Diabetes duration, socioeconomic status, and daily media consumption time, but not physical activity, were significant risk factors for glycemic control in youths with type 1 diabetes.