Comparative characteristics of older people with type 1 diabetes treated with continuous subcutaneous insulin infusion or insulin injection therapy: data from the German/Austrian DPV registry.

AIM: To compare clinical characteristics and outcomes in adults with type 1 diabetes aged ≥ 60 years using continuous subcutaneous insulin infusion (CSII) vs. insulin injection therapy. Further, to determine the percentage of older adults with type 1 diabetes using CSII. RESEARCH DESIGN AND METHODS: Retrospective study using data of the Diabetes Prospective Follow-up Registry (DPV). Including percentage CSII use from 2008 to 2018, and the characteristics of 9547 individuals extracted from the DPV in March 2019 (N = 1404 CSII; N = 8143 insulin injection therapy). Wilcoxon rank sum tests were used for continuous variables and chi-square tests for categorical variables to compare clinical characteristics of people using CSII vs. insulin injection therapy. Adjusted analyses used generalized linear models to compare diabetes-related outcomes. RESULTS: CSII usage has increased in older adults (from 12% in 2008 to 23% in 2018). After adjustment, CSII was associated with lower HbA1c [60.7 mmol/mol (7.7 ± 0.1%) vs. 62.8% (7.9 ± 0.1%)], lower daily insulin dose (0.49 ± 0.02 vs. 0.61 ± 0.01 IU/kg), fewer days in hospital (8.1 ± 0.12 vs. 11.2 ± 0.11 days/person-year), fewer severe hypoglycaemic events (0.16 ± 0.02 vs. 0.21 ± 0.03 events/person-year) and fewer diabetic ketoacidosis (0.06 ± 0.01 vs. 0.08 ± 0.01 events/person-year). Individuals on CSII showed lower rates of microalbuminuria and also have a diagnosis of depression and neuropathy. CONCLUSIONS: A growing number of older adults are using insulin pumps. Older age in itself should not be seen as a contraindication for CSII.

Health related quality of life associated with extreme obesity in adolescents - results from the baseline evaluation of the YES-study.

BACKGROUND: Obesity can significantly reduce health-related quality of life (HRQoL) and may lead to numerous health problems even in youths. This study aimed to investigate whether HRQoL varies among youths with obesity depending on grade of obesity and other factors. METHODS: For the Youths with Extreme obesity Study (YES) (2012-2014), a prospective multicenter cohort study, a baseline sample of 431 obese and extremely obese adolescents and young adults (age 14 to 24 years, BMI ≥30 kg/m2) was recruited at four German university medical centers and one job center. Obesity grade groups (OGG) were defined according to BMI (OGG I: 30-34.9 kg/m2, OGG II: 35-39.9 kg/m2, OGG III (extreme obesity): ≥40 kg/m2). HRQoL was measured with the Euroqol-5D-3 L (EQ-5D-3 L), DISABKIDS chronic generic (DCGM-31) and the KINDLR obesity module. Differences between OGGs were assessed with logistic and linear regression models, adjusting for age, sex, and study center in the base model. In a second regression analysis, we included other characteristics to identify possible determinants of HRQoL. RESULTS: Three hundred fifty-two adolescents (mean age: 16.6 (±2.4), mean BMI: 39.1 (±7.5) kg/ m2) with available HRQoL data were analysed. HRQoL of youths in all OGGs was markedly lower than reference values of non-obese adolescents. Adjusting for age and sex, HRQoL of youths in OGG III significantly impaired compared to OGG I. Youths in OGG III were 2.15 times more likely to report problems with mobility in the EQ-5D-3 L than youths in OGG I. A mean difference of 9.7 and 6.6 points between OGG III and I were found for DCGM-31 and KINDL respectively and 5.1 points between OGG II and I for DCGM-31. Including further variables into the regression models, showed that HRQoL measured by DCGM-31 was significantly different between OGGs. Otherwise, female sex and having more than 4 h of daily screen time were also associated with lower HRQoL measured by DCGM-31 and KINDL. CONCLUSION: HRQoL of adolescents with obesity is reduced, but HRQoL of adolescents with extreme obesity is particularly affected. Larger and longitudinal studies are necessary to understand the relation of extreme obesity and HRQoL, and the impact of other lifestyle or socioeconomic factors. TRIAL REGISTRATION: Clinicaltrials.gov NCT01625325; German Clinical Trials Register (DRKS) DRKS00004172.

Risk factors for necrobiosis lipoidica in Type 1 diabetes mellitus.

AIMS: To compare the clinical and metabolic characteristics of patients with Type 1 diabetes and necrobiosis lipoidica with those of patients with Type 1 diabetes who do not have necrobiosis lipoidica. A multicentre analysis was performed. METHODS: Clinical and laboratory data were obtained from 64 133 patients (aged 0-25 years) with Type 1 diabetes with and without necrobiosis lipoidica who were registered in the German/Austrian Diabetes Prospective Documentation Initiative registry. Data were analysed using multivariable regression modelling. Age, diabetes duration, treatment year and sex were considered as confounding factors. RESULTS: Results adjusted for demographic variables are presented. In patients with necrobiosis lipoidica, metabolic control was worse (HbA1c 72 vs. 67 mmol/mol, 8.7% vs. 8.3%; P = 0.0065) and the duration of diabetes was longer [6.24 (3.28-9.97) vs. 5.11 (2.08-8.83) years; P = 0.014; not adjusted]. Patients with necrobiosis lipoidica required higher insulin doses than those without (1.02 vs. 0.92 U/kg/day; P < 0.0001). There was no significant difference in the frequency of microvascular complications (microalbuminuria and retinopathy) between the groups. Furthermore, 24.8% and 17.5% of patients with Type 1 diabetes with and without necrobiosis lipoidica, respectively, had elevated thyroid antibodies (P = 0.051). Necrobiosis lipoidica was correlated with coeliac disease in patients with Type 1 diabetes (3.4% vs. 1.0%; P = 0.0035). CONCLUSIONS: Our data indicate a strong correlation between hyperglycaemia and the development of necrobiosis lipoidica. We postulate that the underlying pathogenic processes differ from those leading to microalbuminuria and retinopathy, and additional immunological mechanisms may play a role.

Blood pressure regulation determined by ambulatory blood pressure profiles in children and adolescents with type 1 diabetes mellitus: Impact on diabetic complications.

BACKGROUND: The combination of high blood pressure and hyperglycemia contributes to the development of diabetic complications. Ambulatory monitoring of blood pressure (ABPM) is seen as standard to assess blood pressure (BP) regulation. OBJECTIVE: We evaluated 24-hour BP regulation in 3529 children with type 1 diabetes, representing 5.6% of the patients <20 years of age documented in the DPV registry, and studied the influence of BP parameters including pulse pressure (PP) and blood pressure variability (BPV) on microalbuminuria (MA) and diabetic retinopathy (DR). RESULTS: BP was increased in this selected cohort of children with diabetes compared to healthy German controls (standard deviation score (SDS) day: systolic BP (SBP) +0.06, mean arterial pressure (MAP) +0.08, PP +0.3; night: SBP +0.6, diastolic BP +0.6, MAP +0.8), while daytime diastolic BP (SDS -0.2) and dipping of SBP and MAP were reduced (SBP -1.1 SDS, MAP 12.4% vs 19.4%), PP showed reverse dipping (-0.7 SDS). Children with microvascular complications had by +0.1 to +0.75 SDS higher BP parameters, except of nocturnal PP in MA and diurnal and nocturnal PP in DR. Reverse dipping of PP was more pronounced in the children with MA (-5.1% vs -0.8%) and DR (-2.6% vs -1.0%). BP alteration was stronger in girls and increased with age. CONCLUSION: There is an early and close link between 24-hour blood pressure regulation and the development of diabetic complications not only for systolic, diastolic, and mean arterial BP but also for the derived BP parameter PP and BPV in our selected patients.

Current practice of diabetes education in children and adolescents with type 1 diabetes in Germany and Austria: analysis based on the German/Austrian DPV database.

BACKGROUND: Diabetes education of patients and/or parents is an essential part of diabetes care with effects on diabetes outcome. The objective of our study was to describe the current practice of diabetes education in Germany and Austria with regard to training frequency, patient age, migration background and diabetes therapy in a large cohort of pediatric patients with diabetes mellitus type 1 (T1DM). METHODS: We analyzed data from pediatric T1DM patients with diabetes training in 2013 and complete data available for treatment year in the multicenter Diabetes Patienten Verlaufsdokumentation (DPV) registry using sas 9.4. RESULTS: In 2013 21 871 pediatric patients with T1DM were documented [52.4% male, age: 12.70 (9.35-15.30) yr (median (interquartile range)], diabetes duration: 3.80 (1.45-7.00) yr, migration background: 21.4%, twice daily injections: 5.5%, multiple daily injections: 52.5%, insulin-pump therapy: 42%. Of these 32.31% were trained in 2013. Younger patients and their parents were trained more intensely and more frequently as inpatients compared with older patients (0-6 vs. 6-12 and 12-18 yr: teaching units: 13.07 vs. 12.05 and 9.79; inpatient: 79% vs. 72% and 70%). There was also a difference in training frequency with regard to migration background. Severe hypoglycemia or ketoacidosis resulted in intensification of training (4.0 vs. 2.0%; 7.8 vs. 3.1%). Centre-specific education tools were used frequently alone or in combination with published, standardized education programs. CONCLUSION: Training frequency was highest in younger patients and during the first year of diabetes. Acute complications resulted in more frequent diabetes training, indicating that currently many education sessions take place in consequence to these complications.

Prevalence of prediabetes and type 2 diabetes in children with obesity and increased transaminases in European German-speaking countries. Analysis of the APV initiative.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD), prediabetes and type 2 diabetes mellitus are known to be closely linked with obesity as early as during childhood. OBJECTIVES: The study aimed to determine the prevalence of prediabetes and T2DM in children with obesity with or without increased transaminases. METHODS: Data from the observational multicentre (n = 51), cross-sectional Adipositas Patienten Verlaufsbeobachtung registry were analyzed. Mild increase (mild group) was defined by alanine transaminase (ALT) >24 to ≤50 U/L and moderate to severe increase (advanced group) by ALT > 50 U/L. Prediabetes and T2DM were defined according to recent IDF/ISPAD guidelines. RESULTS: The prevalence of prediabetes and T2DM was 11.9% (95% CI: 11.0-12.8) and 1.4% (95% CI: 1.1-1.7) among all participants (n = 4932; male = 2481; mean age 12.9 ± 2.7 years; BMI-SDS 2.1 ± 0.5; Tanner stage 3.2 ± 1.5). The prevalence of impaired glucose metabolism (prediabetes and T2DM) was 13.8% (95% CI: 12.1-15.4) in the mild, 21.9% (95% CI: 18.8-25.1) in the advanced group, 10.7% (95% CI: 9.4-11.9) in the control group. Mild and advanced groups had greater odds ratios for prediabetes [1.42; 95% CI: 1.17-1.72, 2.26-fold; (1.78-2.86), respectively], the advanced group also for T2DM [2.39 (1.36-4.21)] compared to controls. While an increase in transaminases predominantly affected boys, girls within the advanced group had a higher T2DM prevalence than males (5.4 vs. male 2.1%). CONCLUSIONS: Children with obesity and increased liver transaminases as surrogates of NAFLD should be screened for T2DM.