OBJECTIVE—To give an up-to-date profile of nephropathy and the involvement of risk factors in a large, prospective cohort of patients with type 1 diabetes and largely pediatric and adolescent onset of disease. RESEARCH DESIGN AND METHODS—A total of 27,805 patients from the nationwide, prospective German Diabetes Documentation System survey were included in the present analysis. Inclusion criteria were at least two documented urine analyses with identical classification. Urine analyses, treatment regimens, diabetes complications, and risk factors were recorded prospectively. Baseline characteristics were age at diagnosis 9.94 years (median [interquartile range 5.8–14.3]), age at last visit 16.34 years (12.5–22.2), and follow-up time 2.5 years (0.43–5.3). Cumulative incidence of nephropathy was tested by Kaplan-Meier analysis and association with risk factors by logistic regression. RESULTS—Nephropathy was classified as normal in 26,605, microalbuminuric in 919, macroalbuminuric in 78, and end-stage renal disease (ESRD) in 203 patients. After calculated diabetes duration of 40 years, 25.4% (95% CI 22.3–28.3) had microalbuminuria and 9.4% (8.3–11.4) had macroalbuminuria or ESRD. Risk factors for microalbuminuria were diabetes duration (odds ratio 1.033, P < 0.0001), A1C (1.13, P < 0.0001), LDL cholesterol (1.003, P < 0.0074), and blood pressure (1.008, P < 0.0074), while childhood diabetes onset (1.011, P < 0.0001) was protective. Male sex was associated with the development of macroalbuminuria. CONCLUSIONS—Diabetes duration, A1C, dyslipidemia, blood pressure, and male sex were identified as risk factors for nephropathy. Therefore, besides the best possible metabolic control, early diagnosis and prompt treatment of dyslipidemia and hypertension is mandatory in patients with type 1 diabetes.

Background: Transferring adolescents with diabetes from pediatric to adult care remains a challenge and the outcome is often unknown. The aims of this study were to determine the patients’ perception of transfer arrangements and to analyze health care use and metabolic control. Methods: A telephone questionnaire was conducted for patients who had been transferred from the pediatric clinic to adult care between 1995 and 2003. Of 161 identified patients, 101 (58 females, 43 males, mean age 22.1 ± 2.4 years) were interviewed. Pediatric case notes and, if available (n = 44), current notes were analyzed to validate answers from the interview. Results: After transfer, 52.5% of patients changed their health care provider at least once. The mean frequency of changes was 1.47. There was a significant decrease in clinic attendance rate after transition (8.5 ± 2.3/years vs. 6.7 ± 3.2/years). Patients criticized the lack of arrangements, poor information about transfer and the specific age for transition (18 years) set by legislation. The transfer was considered a negative experience by 58 patients. The patients assumed their metabolic control (HbA1c) was better than it really was (7.5 ± 1.3% vs. 8.3 ± 1.6%, p < 0.05). Actual HbA1c from case notes pre- and post-transfer did not change significantly (8.5 ± 1.5% vs. 8.4 ± 1.7%, n = 44, p = 0.441). Conclusion: The establishment of transition clinics and closer cooperation between specialists in pediatric and adult medicine is mandatory. Such changes are demanded by patients and would ensure better uptake of health care services after transfer.

Aims: HNF1B-maturity-onset diabetes of the young is caused by abnormalities in the HNF1B gene encoding the transcription factor HNF-1β. We aimed to investigate detailed clinical features and the type of HNF1B gene anomaly in five pediatric cases with HNF1B-MODY. Methods: From a cohort of 995 children and adolescents with diabetes, we analyzed the most frequent maturity-onset diabetes of the young genes (GCK, HNF1A, HNF4A) including HNF1B sequencing and deletion analysis by quantitative Multiplex-PCR of Short Fluorescent Fragments (QMPSF) if patients were islet autoantibody-negative and had one parent with diabetes or associated extrapancreatic features or detectable C-peptide outside honeymoon phase. Presence and size of disease-causing chromosomal rearrangements detected by QMPSF were further analyzed by array comparative genomic hybridization. Results: Overall, five patients had a heterozygous HNF1B deletion, presenting renal disease, elevated liver enzymes, and diabetes. Diabetes was characterized by insulin resistance and adolescent onset of hyperglycemia. Additionally, clinical features in some patients were pancreas dysplasia and exocrine insufficiency (two of five patients), genital defects (three of five), mental retardation (two of five), and eye abnormalities (coloboma, cataract in two of five). One case also had severe growth deficit combined with congenital cholestasis, and another case had common variable immune deficiency. All patients reported here had monoallelic loss of the entire HNF1B gene. Whole genome array comparative genomic hybridization confirmed a precurrent genomic deletion of approximately 1.3–1.7 Mb in size. Conclusion: The clinical data of our cases enlarge the wide spectrum of patients with HNF1B anomaly. The underlying molecular defect in all cases was a 1.3- to 1.7-Mb deletion, and paired, segmental duplications along with breakpoints were most likely involved in this recurrent chromosomal microdeletion.

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 HbA1c levels were collected. Risk factors were analyzed by multiple regression. RESULTS: Youths with type 1 diabetes (aged 13.7 ± 4.1 years, HbA1c 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.

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. Our aim was to examine the impact of poor sleeping habits on glycemic control in adolescents with type 1 diabetes. 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. 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; β = −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; β = 0.035, P = .03). 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.

Objective: Adiponectin plays an important role in pathophysiology of obesity, type 2 diabetes and cardiovascular disease. The aim of this study was to determine adiponectin concentrations in children and adolescents with type 1 diabetes in a longitudinal manner and to study the impact of age, gender, body mass index (BMI) and metabolic control. Research design and methods: In this study, 88 children and adolescents with type 1 diabetes were followed longitudinally. At baseline and during follow-up, serum levels of adiponectin were measured by enzyme-linked immunoassay and correlated with clinical data, HbA1c and lipids. Healthy children (n = 259) were chosen as a control group. Results: Serum adiponectin levels were significantly higher in children with type 1 diabetes compared with healthy children (13.1 vs 9.1 μg/ml at baseline, P < 0.001). Adiponectin concentrations inversely correlated with BMI s.d.s (P < 0.001). No significant difference of adiponectin levels regarding gender, diabetes duration or HbA1c was seen. Adiponectin concentrations decreased in males with type 1 diabetes during puberty (P = 0.03) while there was no significant change in females. In a subgroup of patients with new onset type 1 diabetes, adiponectin concentrations were not different from adiponectin levels in control subjects but increased during follow-up (P = 0.007). Stepwise multiple regression analysis showed that most important predictors of adiponectin levels in type 1 diabetes at the end of the study were adiponectin concentration at baseline (β = 0.574, P < 0.001) and BMI s.d.s (β = −0.302, P = 0.001, r² = 0.56). Conclusions: Children and adolescents with type 1 diabetes have BMI-dependent elevated serum concentrations of adiponectin compared with healthy children.