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.

Incidence and presentation of new-onset type 1 diabetes in children and adolescents from Germany during the COVID-19 pandemic 2020 and 2021: Current data from the DPV Registry.

AIMS: To determine whether the incidence of type 1 diabetes mellitus (T1D), autoantibody-negative diabetes, and diabetic ketoacidosis (DKA) at diabetes onset in 2020 and 2021 changed when compared to long-standing trends. METHODS: Our study is based on diabetes manifestation data of the 0.5-<18-year-old children/adolescents from the German multicenter Diabetes Prospective Follow-up Registry. Based on long-term pre-pandemic trends from 2011 to 2019, we estimated adjusted incidence rate ratios (IRR) for T1D and DKA, and prevalence rate ratios (PRR) regarding autoantibody status with 95 % confidence intervals (CI) for the years 2020 and 2021 (observed versus predicted rates), using multivariable negative binomial or beta-binomial regression, respectively. RESULTS: We analyzed data of 30,840 children and adolescents with new-onset T1D. The observed incidences were significantly higher than the predicted incidences (IRR2020 1.13 [1.08-1.19]; IRR2021 1.20 [1.15-1.26]). The prevalence of autoantibody-negative diabetes did not change (PRR2020 0.91 [0.75-1.10]; PRR2021 1.03 [0.86-1.24]). The incidence of DKA during the pandemic was higher than predicted (IRR2020 1.34 [1.23-1.46]; IRR2021 1.37 [1.26-1.49]). CONCLUSIONS: An increase in the incidences of T1D and DKA, but not of autoantibody-negative diabetes was observed during both pandemic years. Further monitoring and efforts for DKA prevention at onset are necessary.

Prevalence trends of type 1 and type 2 diabetes in children and adolescents in North Rhine-Westphalia, the most populous federal state in Germany, 2002-2020.

AIMS: To estimate the prevalence and temporal trends of type 1 and type 2 diabetes mellitus in children and adolescents (type 1 diabetes: 0-19 years, type 2 diabetes: 10-19 years) in North Rhine-Westphalia (NRW), Germany, from 2002 to 2020. METHODS: The NRW Diabetes Registry records new cases based on three data sources (median completeness of ascertainment 99% for type 1 diabetes, 94% for type 2 diabetes). We determined age- and/or sex-standardized prevalence estimates (95% confidence intervals) per 100,000 individuals. Differences in age and sex, as well as time trends, were examined by Poisson regression. Furthermore, joinpoint regression was used to evaluate changes in prevalence trends over time. RESULTS: At the end of 2020, the estimated type 1 diabetes prevalence was 247.1 (240.3; 253.9) with an annual increase of 2.9% (2.7%; 3.1%). The type 2 diabetes prevalence was 12.7 (10.6; 14.9) and increased by 6.4% (5.6%; 7.3%) per year. The prevalence trends were not uniform over the total period and flattened considerably in recent years. CONCLUSIONS: The prevalence of type 1 and type 2 diabetes has increased significantly but at a lower rate in recent years. Continued surveillance of the prevalence is essential for the planning of health care resources and prevention measures.

COVID-19 Lockdown Periods in 2020: Good Maintenance of Metabolic Control in Adults with Type 1 and Type 2 Diabetes.

During the COVID-19 pandemic, there were increased concerns about glycemic control in patients with diabetes. Therefore, we aimed to assess changes in diabetes management during the COVID-19 lockdown for patients with type 1 or type 2 diabetes mellitus (T1DM, T2DM) in Germany. We included data from 24,623 patients (age>18 years) with T1DM (N=6,975) or T2DM (N=17,648) with documented data in 2019 and 2020 from the multicenter Diabetes-Prospective Follow-up registry (DPV). We conducted a groupwise comparison of identical patients in 2019 and 2020 for different time periods of pandemia. Pairwise differences of continuous parameters of treatment modalities and metabolic outcome between 2019 and 2020 were adjusted for seasonality, age, and diabetes duration. We presented these outcomes as adjusted medians with 95% confidence intervals. Rates were compared using negative-binomial models, dichotomous outcomes were compared using logistic models. Models were additionally adjusted for age and diabetes duration. These outcomes were presented as least-square means with 95% confidence intervals, p-values of<.05 were considered significant.In participants with T1DM, CGI (combined glucose indicator) increased only by 0.11-0.12% in all time periods of 2020 compared to 2019 (all p<0.001) while BMI decreased slightly by -(0.09-0.10) kg/m² (p<0.0001). In participants with T2DM, HbA1c increased by 0.12%, while BMI decreased slightly by -(0.05-0.06) kg/m² (p<0.0001).During the COVID-19 lockdown period, patients with T1DM and T2DM experienced only clinically insignificant changes in glucose control or body weight. Despite lockdown restrictions, patients were able to maintain metabolic control.

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).

Multicentre analysis of hyperglycaemic hyperosmolar state and diabetic ketoacidosis in type 1 and type 2 diabetes.

AIMS: To compare diabetes patients with hyperglycaemic hyperosmolar state (HHS), diabetic ketoacidosis (DKA), and patients without decompensation (ND). METHODS: In total, 500,973 patients with type 1 or type 2 diabetes of all ages registered in the diabetes patient follow-up (DPV) were included. Analysis was stratified by age (≤ / > 20 years) and by manifestation/follow-up. Patients were categorized into three groups: HHS or DKA-during follow-up according to the most recent episode-or ND. RESULTS: At onset of diabetes, HHS criteria were met by 345 (68.4% T1D) and DKA by 9824 (97.6% T1D) patients. DKA patients had a lower BMI(-SDS) in both diabetes types compared to ND. HbA1c was higher in HHS/DKA. During follow-up, HHS occurred in 1451 (42.2% T1D) and DKA in 8389 patients (76.7% T1D). In paediatric T1D, HHS/DKA was associated with younger age, depression, and dyslipidemia. Pump usage was less frequent in DKA patients. In adult T1D/T2D subjects, metabolic control was worse in patients with HHS/DKA. HHS and DKA were also associated with excessive alcohol intake, dementia, stroke, chronic kidney disease, and depression. CONCLUSIONS: HHS/DKA occurred mostly in T1D and younger patients. However, both also occurred in T2D, which is of great importance in the treatment of diabetes. Better education programmes are necessary to prevent decompensation and comorbidities.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Clinical inertia among patients with type 2 diabetes mellitus treated with DPP-4i and/or SGLT-2i.

OBJECTIVES: Failure to intensify treatment of patients with type 2 diabetes (T2D) in a timely manner is a common challenge. If newer oral anti-diabetic drugs (NOADs) such as dipeptidyl peptidase-4 inhibitors (DPP-4i) and sodium/glucose cotransporter 2 inhibitors (SGLT-2i) do not achieve metabolic control, injectable therapy like insulin or glucagon-like Peptide 1 (GLP-1) receptor agonists are required. We investigated the time in poor glycaemic control (PC, HbA1c > 7%, >7.5%, >8%) in adults with T2D treated with DPP-4i/SGLT-2i until treatment intensification with insulin/GLP-1 or until the most recent documented visit. METHODS: T2D ≥ 18 years were identified from the diabetes patient follow-up registry (DPV), which captures data from diabetes specialist care. Patients with ≥2 documented visits with DPP-4i/SGLT-2i treatment and with the most recent treatment year ≥2015 were included. RESULTS: The study population consisted of 4576 patients treated with DPP-4i/SGLT-2i. A subgroup of 1416 patients were intensified with an injectable therapy. Mean time in PC until intensification with insulin/GLP-1 was 16.7 months (HbA1c > 7%), 15.7 and 15.1 months (HbA1c > 7.5%, HbA1c > 8%) in this subgroup, respectively. Mean time in PC until most recent visit was 12.6, 9.9 and 8.4 months in the subgroup of patients without treatment intensification. CONCLUSIONS: Even with NOADs, a substantial proportion of T2D do not achieve good metabolic control. These findings may be due to individualized target setting for HbA1c, or reluctance of patients and physicians towards injectable therapy. Effective diabetes management strategies are necessary to reduce the risk of adverse outcomes and to increase quality of life in T2D.

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.