The impact of daily mean air temperature on the proportion of time in hypoglycemia in 2,582 children and adolescents with type 1 diabetes - Is this association clinically relevant?

OBJECTIVES: To study the potential association between increases in daily mean air temperature and time below range (TBR <54 mg/dl) and time above range (TAR >250 mg/dl) in children and adolescents with type 1 diabetes. RESEARCH DESIGN AND METHODS: Individuals with type 1 diabetes <21 years with information on daily glucose profiles from the diabetes prospective follow-up study (DPV) were included (n = 2582). Further inclusion criteria were age at least 6 months at diabetes onset, diabetes duration for at least one year and treatment years 2020-2021. Mean daily air temperature and other meteorological parameters from 78 measurement stations in Germany were linked to the individual glucose sensor profile via the five-digit postcode areas of residency. We used multivariable repeated measures fractional logistic regression models with a compound symmetry covariance structure to study the association between a 1 °C increase in daily mean temperature and time in specific glucose ranges. RESULTS: A 1 °C increase in daily mean temperature was associated with an acute (Odds Ratio (OR) 1.009 (95%-CI 1.007, 1.011)) and up to 7 days delayed (OR 1.003 (1.001, 1.005)) increase in TBR <54 mg/dl. Moreover, an acute decrease in TAR >250 mg/dl (OR 0.997 (0.996, 0.997)) was found. CONCLUSIONS: Results of the DPV registry showed small, but statistically significant changes in TBR and TAR in association with a short-term temperature increase. Higher blood flow and faster insulin absorption might be one possible mechanism. In times of increasing temperature fluctuations meteorological impacts on time in range could become even more relevant.

Feasibility and potential efficacy of a guided internet- and mobile-based CBT for adolescents and young adults with chronic medical conditions and comorbid depression or anxiety symptoms (youthCOACHCD): a randomized controlled pilot trial.

BACKGROUND: Adolescents and young adults (AYA) with a chronic medical condition show an increased risk for developing mental comorbidities compared to their healthy peers. Internet- and mobile-based cognitive behavioral therapy (iCBT) might be a low-threshold treatment to support affected AYA. In this randomized controlled pilot trial, the feasibility and potential efficacy of youthCOACHCD, an iCBT targeting symptoms of anxiety and depression in AYA with chronic medical conditions, was evaluated. METHODS: A total of 30 AYA (Mage 16.13; SD= 2.34; 73% female), aged 12-21 years either suffering from cystic fibrosis, juvenile idiopathic arthritis or type 1 diabetes, were randomly assigned to either a guided version of the iCBT youthCOACHCD (IG, n=15) or to a waitlist control group (CG, n=15), receiving an unguided version of the iCBT six months post-randomization. Participants of the IG and the CG were assessed before (t0), twelve weeks after (t1) and six months after (t2) randomization. Primary outcome was the feasibility of the iCBT. Different parameters of feasibility e.g. acceptance, client satisfaction or potential side effects were evaluated. First indications of the possible efficacy with regard to the primary efficacy outcome, the Patient Health Questionnaire Anxiety and Depression Scale, and further outcome variables were evaluated using linear regression models, adjusting for baseline values. RESULTS: Regarding feasibility, intervention completion was 60%; intervention satisfaction (M = 25.42, SD = 5.85) and perceived therapeutic alliance (M = 2.83, SD = 1.25) were moderate and comparable to other iCBTs. No patterns emerged regarding subjective and objective negative side effects due to participation in youthCOACHCD. Estimates of potential efficacy showed between group differences, with a potential medium-term benefit of youthCOACHCD (ß = -0.55, 95%CI: -1.17; 0.07), but probably not short-term (ß = 0.20, 95%CI: -0.47; 0.88). CONCLUSIONS: Our results point to the feasibility of youthCOACHCD and the implementation of a future definitive randomized controlled trial addressing its effectiveness and cost-effectiveness. Due to the small sample size, conclusions are premature, however, further strategies to foster treatment adherence should be considered. TRIAL REGISTRATION: The trial was registered at the WHO International Clinical Trials Registry Platform via the German Clinical Trials Register (ID: DRKS00016714 , 25/03/2019).

Family and household structure are associated with acute type 1 diabetes complications: results of cross-sectional analyses.

AIM: To examine the association of family/household structure with short-term diabetes complications in adolescents and emerging adults with early-onset type 1 diabetes in more detail. METHODS: Data on 1690 11-21-year-olds with type 1 diabetes were used to estimate associations of family/household structure with self-reported severe hypoglycaemia, hospitalizations for severe hypoglycaemia or diabetic ketoacidosis, applying multiple negative binomial regression. RESULTS: Compared with living with both biological parents living with a single mother was associated with an increased rate of hospitalizations for ketoacidosis (incidence rate ratio 1.71, 95% CI 1.00-2.82). Incidence rate ratio of hospitalizations for ketoacidosis was similar (1.67, 95% CI 0.91-3.07) if the mother lived with a partner, however, hypoglycaemia-related hospitalizations increased (3.66, 95% CI 1.54-8.71). Participants living with a single father had 4.43 (95% CI 1.30-15.05) /10.42 (95% CI 1.55-70.22) times higher rates of severe hypoglycaemia and related hospitalizations, while living with a father and his partner was associated with an increased incidence rate ratio of hospitalizations for ketoacidosis (3.48, 95% CI 0.96-12.63) compared with living with both biological parents. CONCLUSIONS: Findings of our exploratory analyses point to different self-reported diabetes outcomes depending on the family/household structure. If confirmed in future studies, they may help to identify young people with diabetes at risk of short-term diabetes complications.

Evaluation of lipoprotein-associated phospholipase A2 as a marker for renal microvasculopathy in adolescents with Type 1 diabetes.

AIM: To assess the relevance of lipoprotein-associated phospholipase A2 activity as a diagnostic and prognostic marker for renal microvascular diseases. METHODS: We analysed lipoprotein-associated phospholipase A2 activity and lysophosphatidylcholine levels (as a surrogate marker of oxidative stress) in 165 adolescents (aged 17.0 ± 2.3 years) with a history of Type 1 diabetes greater than 10 years. Clinical data were obtained from the German/Austrian nationwide Diabetes-Patients Follow-up (DPV) registry at blood collection and on average 2.4 ± 1.3 years later at follow-up. Relationships between lipoprotein-associated phospholipase A2 activity and clinical, demographic and laboratory variables, lysophosphatidylcholine levels and presence of albuminuria were evaluated by multivariable linear and logistic regression. RESULTS: Lipoprotein-associated phospholipase A2 activity was higher in male than female adolescents (P = 0.002). Albuminuria was present in 14% (22/158) of participants at baseline, and 5% (4/86) of participants without albuminuria at baseline developed albuminuria until follow-up. Lipoprotein-associated phospholipase A2 activity was associated neither with present nor with incident albuminuria. Lysophosphatidylcholine did not correlate with lipoprotein-associated phospholipase A2 activity. Cross-sectional bivariate correlation as well as multivariable linear regression analysis revealed a negative correlation of lipoprotein-associated phospholipase A2 activity with HbA1c and HDL-cholesterol. CONCLUSIONS: Lipoprotein-associated phospholipase activity was not associated with surrogate markers for oxidative stress and early diabetic nephropathy. The association of decreased lipoprotein-associated phospholipase A2 activity with poor glucose control might limit its function as a predictor of micro- and macrovascular diseases in Type 1 diabetes.

Heart failure among people with Type 2 diabetes mellitus: real-world data of 289 954 people from a diabetes database.

AIM: Comparing people with Type 2 diabetes mellitus with and without heart failure in terms of metabolic control, therapeutic regimen and comorbidities. METHODS: The Prospective Diabetes Registry (DPV) is a longitudinal documentation system for demographics, medical care and outcome in people with diabetes mellitus. It consists of follow-up data from people with diabetes mellitus who have agreed to be recorded in the registry. Clinical data are submitted by general practitioners, specialists and clinics throughout Germany and Austria. Some 289 954 people with Type 2 diabetes mellitus (years 2000 to 2015) were analysed using demographic statistics and adjustment for confounders based on linear and logistic regression analysis. RESULTS: People with Type 2 diabetes mellitus (ICD code: E11) and heart failure (ICD code: I50) (N = 14 723) were older, more often women and presented with longer diabetes duration compared with those without heart failure. After adjustment for age, gender and diabetes duration, people with heart failure showed lower HbA1c , higher BMI and more intense insulin therapy. Analysis revealed that people with heart failure were more often treated with insulin, and more frequently received anti-hypertensives and lipid-lowering medication. They presented with lower systolic and diastolic BP. People with heart failure more frequently showed a history of comorbidities. CONCLUSION: Heart failure is common in diabetes mellitus, but the prevalence in the DPV is lower frequent than expected. The reason for improved metabolic control in heart failure may be intensified therapy with insulin, lipid-lowering medication and anti-hypertensives in this cohort.

Associations of area deprivation and urban/rural traits with the incidence of type 1 diabetes: analysis at the municipality level in North Rhine-Westphalia, Germany.

AIM: To analyse the associations of area deprivation and urban/rural traits with the incidence of type 1 diabetes in the German federal state of North Rhine-Westphalia. METHODS: Data of incident type 1 diabetes cases in children and adolescents aged <20 years between 2007 and 2014 were extracted from a population-based diabetes register. Population data, indicators of area deprivation and urban/rural traits at the municipality level (396 entities) were obtained from official statistics. Area deprivation was assessed in five groups based on quintiles of an index of multiple deprivation and its seven deprivation domains. Poisson regression accounting for spatial dependence was applied to investigate associations of area deprivation and urban/rural traits with type 1 diabetes incidence. RESULTS: Between 2007 and 2014, 6143 incident cases were reported (99% completeness); the crude incidence was 22.3 cases per 100 000 person-years. The incidence decreased with increasing employment and environmental deprivation (relative risk of the most vs. the least deprived municipalities: 0.905 [95% CI: 0.813, 1.007] and 0.839 [0.752, 0.937], respectively) but was not associated with the composite deprivation index. The incidence was higher in more peripheral, rural, smaller and less densely populated municipalities, and the strongest association was estimated for the location trait (relative risk of peripheral/very peripheral compared with very central location: 1.231 [1.044, 1.452]). CONCLUSIONS: The results suggest that the type 1 diabetes risk is higher in more remote, more rural, less densely populated and less deprived areas. Urban/rural traits were stronger predictors of type 1 diabetes risk than area deprivation indicators.

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.

The Transatlantic HbA1c gap: differences in glycaemic control across the lifespan between people included in the US T1D Exchange Registry and those included in the German/Austrian DPV registry.

AIM: To compare HbA1c levels across the lifespan in people with type 1 diabetes in the USA with those in Germany/Austria, and to examine potential differences in HbA1c levels between sexes, insulin delivery methods and minority status. METHODS: Data were extracted from the US T1D Exchange Registry (n=18 381 participants from 73 sites) and from the German/Austrian Prospective Diabetes Follow-up Registry, the DPV (n=32 643 participants from 362 sites). Mean HbA1c was calculated for each year of age for individuals aged ≤25 years, and at 2-year age intervals for individuals aged >25 years. Curves for mean HbA1c by age were estimated using locally weighted scatterplot smoothing. HbA1c differences between registries, sexes, insulin delivery methods, and minority status were assessed by age group using multiple linear regression. RESULTS: In both registries, mean HbA1c increased by ~11 mmol/mol (1.0%) between the ages of 9 and 18 years, although at quite different absolute levels: from 66 mmol/mol (8.2%) to 77 mmol/mol (9.2%) in the T1D Exchange Registry, and from 56 mmol/mol (7.3%) to 66 mmol/mol (8.2%) in the DPV. Sex differences were observed in the DPV only. In the T1D Exchange Registry, injection users had higher mean HbA1c than pump users across the lifespan, whereas in the DPV higher HbA1c levels in injection users were observed in the age groups 6 to <12 years, 12 to <18 years, and 30 to <50 years (P < 0.001). Minority status was significantly associated with higher HbA1c in most age groups in both registries. CONCLUSIONS: Significant differences in HbA1c were noted between the USA and Germany/Austria, with disparities more pronounced in early childhood through to young adulthood. Further studies should identify causes for these disparities.

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.

Diabetes distress in young adults with early-onset Type 1 diabetes and its prospective relationship with HbA1c and health status.

AIM: This study aimed to determine cross-sectional relationships between diabetes distress and health-related variables, and prospective associations between diabetes distress and future glycaemic control (HbA1c ) and health status among young adults with early-onset Type 1 diabetes. METHODS: Data were collected from a nationwide cohort study of adults whose Type 1 diabetes onset occurred from 0 to 4 years of age during 1993-2002. Questionnaire surveys were conducted in 2012-2013 and 2015-2016 (N = 584). Diabetes distress was assessed via the Problem Areas in Diabetes (PAID) scale (0-100 points), depressive symptoms via the Patient Health Questionnaire-9 (PHQ-9) and health status via the 12-Item Short Form Health Survey (SF-12) questionnaire. Multivariable linear regression analyses were applied to cross-sectional and longitudinal data. RESULTS: In the cross-sectional analyses, higher PAID scale total scores (representing higher distress levels) were observed in women than in men and in participants with more severe depressive symptoms. PAID scores were lower in individuals with better physical and mental health. A 1 mmol/mol increase in HbA1c was associated with a 0.28-point increase [95% confidence interval (95% CI) 0.20, 0.36] in diabetes distress. In longitudinal analyses adjusting for age, sex, socio-economic index and HbA1c at baseline, a 10-point higher PAID score at baseline was associated with a 1.82 mmol/mol higher HbA1c level (95% CI 0.43, 3.20) and a 2.48-point lower SF-12 mental health score (95% CI -3.55, -1.42) three years later. CONCLUSIONS: The cross-sectional and longitudinal analyses results suggest that diabetes distress impairs health-related outcomes in young adults with early-onset diabetes.

Distinct trajectories of HbA1c in newly diagnosed Type 2 diabetes from the DPV registry using a longitudinal group-based modelling approach.

AIM: To identify groups of heterogeneous HbA1c trajectories over time in newly diagnosed Type 2 diabetes. METHODS: The study comprised 6355 adults with newly diagnosed Type 2 diabetes (55% men, median age 62 years, baseline BMI 31 kg/m2 ) from the Diabetes Patienten Verlaufsdokumentation (DPV) prospective multicentre diabetes registry (Germany, Austria). Individuals were assessed during the first 5 years after diabetes diagnosis if they had ≥ 3 aggregated HbA1c measurements during follow-up. Latent class growth modelling was used to determine distinct subgroups that followed similar longitudinal HbA1c patterns (SAS: Proc Traj). Multinomial logistic regression models were used to investigate which variables were associated with the respective HbA1c trajectory groups. RESULTS: Four distinct longitudinal HbA1c trajectory (glycaemic control) groups were found. The largest group (56% of participants) maintained stable good glycaemic control (HbA1c 42-45 mmol/mol). Twenty-six percent maintained stable moderate glycaemic control (HbA1c 57-62 mmol/mol). A third group (12%) initially showed severe hyperglycaemia (HbA1c 97 mmol/mol) but reached good glycaemic control within 1 year. The smallest group (6%) showed stable poor glycaemic control (HbA1c 79-88 mmol/mol). Younger age at diabetes diagnosis, male sex, and higher BMI were associated with the stable moderate or poor glycaemic control groups. Insulin therapy was strongly associated with the highly improved glycaemic control group. CONCLUSIONS: Four subgroups with distinct HbA1c trajectories were determined in newly diagnosed Type 2 diabetes using a group-based modelling approach. Approximately one-third of people with newly diagnosed Type 2 diabetes need either better medication adherence or earlier intensification of glucose-lowering therapy.

No change in type 2 diabetes prevalence in children and adolescents over 10 years: Update of a population-based survey in South Germany.

Objective of this study was to analyze prevalence changes in type 2 diabetes (T2D) among children and adolescents over the last 10 years. We performed a cross-sectional survey in Baden-Württemberg (BW), Germany, by using a written questionnaire and comparing these results with T2D prevalence data from the same area retrieved in 2004/2005. In 2016, 50 patients with T2D under 20 years of age were registered in BW, Germany, which corresponds to a prevalence rate of 2.42 per 100 000 (95% confidence interval [CI]: 1.75-3.09). The prevalence rate found in the same geographic area 10 years prior was 2.30 per 100 000 (95% CI: 1.70-2.90). Overall, 70% of T2D patients of this age group were treated by adult diabetologists. Concisely the prevalence of T2D in children and adolescents is still low in South Germany, remaining practically unchanged over the past decade.

Transition to adult diabetes care in Germany-High risk for acute complications and declining metabolic control during the transition phase.

OBJECTIVE: There is evidence that transition from pediatric to adult health care is frequently associated with deterioration of health in youths with type 1 diabetes (T1D). The aim of this study was to compare metabolic control, acute complications and microvascular complications in adolescents and young adults before and after transfer to an adult treatment center with respect to the time between first visit in the adult center and last visit in pediatric treatment. METHODS: All data were collected during routine care and retrieved from the German/Austrian DPV database. We analyzed data as of March 2017. RESULTS: We found 1283 young adults with available data of the last pediatric treatment year and the first year after transition to adult care. HbA1c increased significantly from 8.95% (74 mmol/mol) before to 9.20% (77 mmol/mol) in the first year after transition. Frequency of DKA with hospitalization (0.10-0.191 per annum, P < .0001) and severe hypoglycemia (0.23-0.46 per annum, P = .013) doubled during transition. Microvascular complications increased dramatically depending on the time between first visit in adult treatment and last visit in pediatric care. We could not find a significant correlation of this rise of microvascular complications to the duration of transition (short or long). CONCLUSION: This phase of life bears a high risk for detrimental outcome in young adults with T1D. Structured transition programs with case management are therefore needed to improve the transition process and outcomes.

Metabolic control of type 1 diabetes in youth with autism spectrum disorder: A multicenter Diabetes-Patienten-Verlaufsdokumentation analysis based on 61 749 patients up to 20 years of age.

BACKGROUND: A paucity of reports in the literature exists concerning the co-existence between autism spectrum disorder (ASD) and type 1 diabetes (T1D). OBJECTIVE: To compare clinical characteristics, diabetes management and metabolic control in youth with T1D and ASD (T1D-ASD) with youth without ASD (T1D-non ASD). METHODS: Using the German/Austrian diabetes patient follow-up registry, this study analyzed aggregated data from the last available year of observation for each patient with T1D, ages 1-20 with consistent data on insulin regimen and glycated hemoglobin (A1C), between January, 2005 and March, 2017. RESULTS: From 61 749 patients, 150 (0.24%) were identified as T1D-ASD. Non-adjusted comparisons showed similar results for mean age at onset and duration of diabetes, but not for gender (male: T1D-ASD: 85.3%; T1D-non ASD: 52.8%; P < .001). Unadjusted comparisons showed no difference for severe hypoglycemia, diabetic ketoacidosis, insulin doses, insulin pump therapy, and body mass index. A statistical difference was observed for A1C (P-value .01) and in the number of blood glucose (SMBG) tests/day (median [interquartile range]: T1D-ASD 6.0 [4.4-7.0]; T1D-non ASD 5.0 [4.4-7.0]; P-value < .001). After adjusting for age, gender, duration of diabetes, and year of observation, only SMBG remained significant (P-value .003). T1D-ASD used psycho-stimulants (15.3% vs 2.2%; P-value < .001), antipsychotics (10.7% vs 0.6%; P-value < .001), and antidepressive medications (3.6% vs 0.7%; P-value < .001) more frequently. CONCLUSION: Metabolic control was similar in the T1D-ASD group compared to T1D-non ASD despite their comorbidity. Awareness of ASD remains important in T1D treatment, as both conditions require long-term multi-disciplinary medical follow-up for optimal outcomes.

Risk of recurrent severe hypoglycemia remains associated with a past history of severe hypoglycemia up to 4 years: Results from a large prospective contemporary pediatric cohort of the DPV initiative.

OBJECTIVES: In a contemporary cohort of youth with type 1 diabetes, we examined the interval between episodes of severe hypoglycemia (SH) as a risk factor for recurrent SH or hypoglycemic coma (HC). METHODS: This was a large longitudinal observational study. Using the DPV Diabetes Prospective follow-up data, we analyzed frequency and timing of recurrent SH (defined as requiring assistance from another person) and HC (loss of consciousness or seizures) in 14 177 youths with type 1 diabetes aged <20 years and at least 5 years of follow-up. RESULTS: Among 14 177 patients with type 1 diabetes, 72% (90%) had no, 14% (6.8%) had 1 and 14% (3.2%) >1 SH (HC). SH or HC in the last year of observation was highest with SH in the previous year (odds ratio [OR] 4.7 [CI 4.0-5.5]/4.6 [CI 3.6-6.0]), but remained elevated even 4 years after an episode (OR 2.0 [CI 1.6-2.7]/2.2 [CI 1.5-3.1]). The proportion of patients who experienced SH or HC during the last year of observation was highest with SH/HC recorded during the previous year (23% for SH and 13% for HC) and lowest in those with no event (4.6% for SH and 2% for HC) in the initial 4 years of observation. CONCLUSIONS: Even 4 years after an episode of SH/HC, risk for SH/HC remains higher compared to children who never experienced SH/HC. Clinicians should continue to regularly track hypoglycemia history at every visit, adjust diabetes education and therapy in order to avoid recurrences.

Both the frequency of HbA1c testing and the frequency of self-monitoring of blood glucose predict metabolic control: A multicentre analysis of 15 199 adult type 1 diabetes patients from Germany and Austria.

BACKGROUND: The objective of this study was to examine the association between metabolic control and frequency of haemoglobin A1c (HbA1c ) measurements and of self-monitoring of blood glucose, as well as the interaction of both. METHODS: Data of 15 199 adult type 1 diabetes patients registered in a standardized electronic health record (DPV) were included. To model the association between metabolic control and frequency of HbA1c testing or of self-monitoring of blood glucose, multiple hierarchic regression models with adjustment for confounders were fitted. Tukey-Kramer test was used to adjust P values for multiple comparisons. Vuong test was used to compare non-nested models. RESULTS: The baseline variables of the study population were median age 19.9 [Q1; Q3: 18.4; 32.2] years and diabetes duration 10.4 [6.8; 15.7] years. Haemoglobin A1c was 60.4 [51.5; 72.5] mmol/mol. Frequency of HbA1c testing was 8.0 [5.0; 9.0] within 2 years, and daily self-monitoring of blood glucose frequency was 5.0 [4.0; 6.0]. After adjustment, a U-shaped association between metabolic control and frequency of HbA1c testing was observed with lowest HbA1c levels in the 3-monthly HbA1c testing group. There was an inverse relationship between self-monitoring of blood glucose and HbA1c with lower HbA1c associated with highest frequency of testing (>6 daily measurements). Quarterly HbA1c testing and frequent self-monitoring of blood glucose were associated with best metabolic control. The adjusted Vuong Z statistic suggests that metabolic control might be better explained by HbA1c testing compared to self-monitoring of blood glucose (P < .0001). CONCLUSION: This research reveals the importance of quarterly clinical HbA1c monitoring together with frequent self-monitoring of blood glucose in diabetes management to reach and maintain target HbA1c .

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.

Seasonality at the clinical onset of type 1 diabetes-Lessons from the SWEET database.

BACKGROUND: Seasonality at the clinical onset of type 1 diabetes (T1D) has been suggested by different studies, however, the results are conflicting. This study aimed to evaluate the presence of seasonality at clinical onset of T1D based on the SWEET database comprising data from 32 different countries. METHODS: The study cohort included 23 603 patients (52% males) recorded in the international multicenter SWEET database (48 centers), with T1D onset ≤20 years, year of onset between 1980 and 2015, gender, year and month of birth and T1D-diagnosis documented. Data were stratified according to four age groups (<5, 5-<10, 10-<15, 15-20 years) at T1D onset, the latitude of European center (Northern ≥50°N and Southern Europe <50°N) and the year of onset ≤ or >2009. RESULTS: Analysis by month revealed significant seasonality with January being the month with the highest and June with the lowest percentage of incident cases (P < .001). Winter, early spring and late autumn months had higher percentage of incident cases compared with late spring and summer months. Stratification by age showed similar seasonality patterns in all four age groups (P ≤ .003 each), but not in children <24 months of age. There was no gender or latitude effect on seasonality pattern, however, the pattern differed by the year of onset (P < .001). Seasonality of diagnosis conformed to a sinusoidal model for all cases, females and males, age groups, northern and southern European countries. CONCLUSIONS: Seasonality at T1D clinical onset is documented by the large SWEET database with no gender or latitude (Europe only) effect except from the year of manifestation.