Time trends towards earlier puberty in boys and girls with type 1 diabetes: Insights from the German Diabetes Prospective Follow-up (DPV) registry, 2000 to 2021.

AIM: To examine the time trends and factors associated with the onset of puberty in children with type 1 diabetes (T1D) using data from the German Diabetes Prospective Follow-up (Diabetes-Patienten-Verlaufsdokumentation [DPV]) registry. METHODS: A total of 13 127 children with T1D, aged 6 to 18 years, were included in the analysis. Regression analysis was performed to investigate the relationship between diabetes duration, body mass index (BMI) standard deviation score (SDS), glycated haemoglobin (HbA1c) level, migration background, and the onset of puberty, stratified by sex. RESULTS: Our findings revealed a significant trend towards earlier puberty in both girls and boys with T1D over the observed period (2000 to 2021). Puberty onset in girls (thelarche Tanner stage B2) decreased from 11.48 (11.35-11.65) years in 2000 to 10.93 (10.79-11.08) years in 2021 and gonadarche (Tanner stage G2/testicular volume >3 mL) decreased from 12.62 (12.42-12.82) years in 2000 to 11.98 (11.79-12.16) years in 2021 in boys (both P < 0.001). Longer diabetes duration, higher BMI SDS, and lower HbA1c level were associated with earlier puberty in both sexes (P < 0.001). CONCLUSIONS: Our study highlights earlier puberty in children with T1D, influenced by BMI SDS, HbA1c level, and migration background. This has important implications for diabetes management and supporting healthy development. Further research is needed to understand the underlying mechanisms and develop potential interventions for this vulnerable population.

An analysis of DPV and DIVE registry patients with chronic kidney disease according to the finerenone phase III clinical trial selection criteria.

BACKGROUND: The FIDELIO-DKD and FIGARO-DKD randomized clinical trials (RCTs) showed finerenone, a novel non-steroidal mineralocorticoid receptor antagonist (MRA), reduced the risk of renal and cardiovascular events in patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD). Using RCT inclusion and exclusion criteria, we analyzed the RCT coverage for patients with T2DM and CKD in routine clinical practice in Germany. METHODS: German patients from the DPV/DIVE registries who were ≥ 18 years, had T2DM and CKD (an estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73 m2 OR eGFR ≥ 60 mL/min/1.73m2 and albuminuria [≥ 30 mg/g]) were included. RCT inclusion and exclusion criteria were then applied, and the characteristics of the two populations compared. RESULTS: Overall, 65,168 patients with T2DM and CKD were identified from DPV/DIVE. Key findings were (1) Registry patients with CKD were older, less often male, and had a lower eGFR, but more were normoalbuminuric vs the RCTs. Cardiovascular disease burden was higher in the RCTs; diabetic neuropathy, lipid metabolism disorders, and peripheral arterial disease were more frequent in the registry. CKD-specific drugs (e.g., angiotensin-converting enzyme inhibitors [ACEi] and angiotensin receptor blocker [ARBs]) were used less often in clinical practice; (2) Due to the RCT's albuminuric G1/2 to G4 CKD focus, they did not cover 28,147 (43.2%) normoalbuminuric registry patients, 4,519 (6.9%) albuminuric patients with eGFR < 25, and 6,565 (10.1%) patients with microalbuminuria but normal GFR (≥ 90 ml/min); 3) As RCTs required baseline ACEi or ARB treatment, the number of comparable registry patients was reduced to 28,359. Of these, only 12,322 (43.5%) registry patients fulfilled all trial inclusion and exclusion criteria. Registry patients that would have been eligible for the RCTs were more often male, had higher eGFR values, higher rates of albuminuria, more received metformin, and more SGLT-2 inhibitors than patients that would not be eligible. CONCLUSIONS: Certain patient subgroups, especially non-albuminuric CKD-patients, were not included in the RCTs. Although recommended by guidelines, there was an undertreatment of CKD-patients with renin-angiotensin system (RAS) blockers. Further research into patients with normoalbuminuric CKD and a wider prescription of RAS blocking agents for CKD patients in clinical practice appears warranted.

Empagliflozin is associated with lower cardiovascular risk compared with dipeptidyl peptidase-4 inhibitors in adults with and without cardiovascular disease: EMPagliflozin compaRative effectIveness and SafEty (EMPRISE) study results from Europe and Asia.

BACKGROUND: Studies that have reported lower risk for cardiovascular outcomes in users of Sodium-Glucose Cotransporter-2 Inhibitors (SGLT-2i) are limited by residual cofounding and lack of information on prior cardiovascular disease (CVD). This study compared risk of cardiovascular events in patients within routine care settings in Europe and Asia with type 2 diabetes (T2D) initiating empagliflozin compared to dipeptidyl peptidase-4 inhibitors (DPP-4i) stratified by pre-existing CVD and history of heart failure (HF). METHODS AND RESULTS: Adults initiating empagliflozin and DPP-4i in 2014-2018/19 from 11 countries in Europe and Asia were compared using propensity score matching and Cox proportional hazards regression to assess differences in rates of primary outcomes: hospitalisation for heart failure (HHF), myocardial infarction (MI), stroke; and secondary outcomes: cardiovascular mortality (CVM), coronary revascularisation procedure, composite outcome including HHF or CVM, and 3-point major adverse cardiovascular events (MACE: MI, stroke and CVM). Country-specific results were meta-analysed and pooled hazard ratios (HR) with 95% confidence intervals (CI) from random-effects models are presented. In total, 85,244 empagliflozin/DPP4i PS-matched patient pairs were included with overall mean follow-up of 0.7 years. Among those with pre-existing CVD, lower risk was observed for HHF (HR 0.74; 95% CI 0.64-0.86), CVM (HR 0.55; 95% CI 0.38-0.80), HHF or CVM (HR 0.57; 95% CI 0.48-0.67) and stroke (HR 0.79; 95% CI 0.67-0.94) in patients initiating empagliflozin vs DPP-4i. Similar patterns were observed among patients without pre-existing CVD and those with and without pre-existing HF. CONCLUSION: These results from diverse patient populations in routine care settings across Europe and Asia demonstrate that initiation of empagliflozin compared to DPP-4i results in favourable cardioprotective effects regardless of pre-existing CVD or HF status.

Clinical characteristics, treatment patterns, and persistence in individuals with type 2 diabetes initiating a glucagon-like peptide-1 receptor agonist: A retrospective analysis of the Diabetes Prospective Follow-Up Registry.

AIMS: To describe clinical characteristics, treatment patterns and glucagon-like peptide-1 receptor agonist (GLP-1 RA) persistence in individuals with type 2 diabetes (T2D) initiating their first GLP-1 RA. MATERIALS AND METHODS: A real-world analysis of adults with T2D initiating GLP-1 RA therapy between 2007 and June 2020 from the multicentre Diabetes Prospective Follow-Up (DPV) Registry, stratified by antidiabetes therapy at the time of GLP-1 RA initiation: oral antidiabetic drugs (OAD), insulin ± OAD or lifestyle modification (LM). GLP-1 RA treatment persistence in individuals with ≥12 months follow-up was determined by Kaplan-Meier analysis. RESULTS: Overall, 15 111 individuals with T2D initiating GLP-1 RA therapy (55% men) were identified; median [interquartile range (IQR)] age [58.7 (50.6-66.7) years], diabetes duration [8.5 (3.6-14.7) years], glycated haemoglobin [HbA1c; 8.2 (7.1-9.8)%]. Median (95% confidence interval) GLP-1 RA persistence in eligible individuals (n = 5189) was 11 (10-12) months; OAD 12 (11-14) months (n = 2453); insulin ± OAD 11 (9-12) months (n = 2204); and LM 7 (5-9) months (n = 532). Median treatment persistence tended to increase from 2007-2012 to 2017-2020. Median (IQR) HbA1c decreased from baseline [8.2 (7.1-9.8)%] to discontinuation [7.5 (6.6-8.7)%], with a greater decrease observed in individuals with persistence >12 months versus ≤12 months. Individuals who discontinued GLP-1 RA therapy predominantly switched to insulin (if not already using) or dipeptidyl peptidase-4 inhibitors. CONCLUSION: Real-world registry data revealed improved outcomes with longer median GLP-1 RA persistence; ~50% of patients overall achieved HbA1c <7% at 12 months. Persistence was highest with baseline OAD and/or insulin, and tended to increase over the period 2007-2020.

Validation of a risk prediction model for early chronic kidney disease in patients with type 2 diabetes: Data from the German/Austrian Diabetes Prospective Follow-up registry.

AIM: To validate a recently proposed risk prediction model for chronic kidney disease (CKD) in type 2 diabetes (T2D). MATERIALS AND METHODS: Subjects from the German/Austrian Diabetes Prospective Follow-up (DPV) registry with T2D, normoalbuminuria, an estimated glomerular filtration rate of 60 ml/min/1.73m2 or higher and aged 39-75 years were included. Prognostic factors included age, body mass index (BMI), smoking status and HbA1c. Subjects were categorized into low, moderate, high and very high-risk groups. Outcome was CKD occurrence. RESULTS: Subjects (n = 10 922) had a mean age of 61 years, diabetes duration of 6 years, BMI of 31.7 kg/m2 , HbA1c of 6.9% (52 mmol/mol); 9.1% had diabetic retinopathy and 16.3% were smokers. After the follow-up (~59 months), 37.4% subjects developed CKD. The area under the curve (AUC; unadjusted base model) was 0.58 (95% CI 0.57-0.59). After adjustment for diabetes and follow-up duration, the AUC was 0.69 (95% CI 0.68-0.70), indicating improved discrimination. After follow-up, 15.0%, 20.1%, 27.7% and 40.2% patients in the low, moderate, high and very high-risk groups, respectively, had developed CKD. Increasing risk score correlated with increasing cumulative risk of incident CKD over a median of 4.5 years of follow-up (P < .0001). CONCLUSIONS: The predictive model achieved moderate discrimination but good calibration in a German/Austrian T2D population, suggesting that the model may be relevant for determining CKD risk.

Identification of predictive factors of diabetic ketoacidosis in type 1 diabetes using a subgroup discovery algorithm.

AIM: To identify predictive factors for diabetic ketoacidosis (DKA) by retrospective analysis of registry data and the use of a subgroup discovery algorithm. MATERIALS AND METHODS: Data from adults and children with type 1 diabetes and more than two diabetes-related visits were analysed from the Diabetes Prospective Follow-up Registry. Q-Finder, a supervised non-parametric proprietary subgroup discovery algorithm, was used to identify subgroups with clinical characteristics associated with increased DKA risk. DKA was defined as pH less than 7.3 during a hospitalization event. RESULTS: Data for 108 223 adults and children, of whom 5609 (5.2%) had DKA, were studied. Q-Finder analysis identified 11 profiles associated with an increased risk of DKA: low body mass index standard deviation score; DKA at diagnosis; age 6-10 years; age 11-15 years; an HbA1c of 8.87% or higher (≥ 73 mmol/mol); no fast-acting insulin intake; age younger than 15 years and not using a continuous glucose monitoring system; physician diagnosis of nephrotic kidney disease; severe hypoglycaemia; hypoglycaemic coma; and autoimmune thyroiditis. Risk of DKA increased with the number of risk profiles matching patients' characteristics. CONCLUSIONS: Q-Finder confirmed common risk profiles identified by conventional statistical methods and allowed the generation of new profiles that may help predict patients with type 1 diabetes who are at a greater risk of experiencing DKA.

A prospective analysis of the long-term impact of the COVID-19 pandemic on well-being and health care among children with a chronic condition and their families: a study protocol of the KICK-COVID study.

BACKGROUND: There is consistent evidence that the COVID-19 pandemic is associated with an increased psychosocial burden on children and adolescents and their parents. Relatively little is known about its particular impact on high-risk groups with chronic physical health conditions (CCs). Therefore, the primary aim of the study is to analyze the multiple impacts on health care and psychosocial well-being on these children and adolescents and their parents. METHODS: We will implement a two-stage approach. In the first step, parents and their underage children from three German patient registries for diabetes, obesity, and rheumatic diseases, are invited to fill out short questionnaires including questions about corona-specific stressors, the health care situation, and psychosocial well-being. In the next step, a more comprehensive, in-depth online survey is carried out in a smaller subsample. DISCUSSION: The study will provide insights into the multiple longer-term stressors during the COVID-19 pandemic in families with a child with a CC. The simultaneous consideration of medical and psycho-social endpoints will help to gain a deeper understanding of the complex interactions affecting family functioning, psychological well-being, and health care delivery. TRIAL REGISTRATION: German Clinical Trials Register (DRKS), no. DRKS00027974. Registered on 27th of January 2022.

Size matters: Influence of center size on quality of diabetes control in children and adolescents with type 1 diabetes-A longitudinal analysis of the DPV cohort.

BACKGROUND: Treatment of patients with type 1 diabetes requires experience and a specific infrastructure. Therefore, center size might influence outcome in diabetes treatment. OBJECTIVE: To analyze the influence of center size on the quality of diabetes treatment in children and adolescents in Germany and Austria. PATIENTS AND METHODS: In 2009 and 2018, we analyzed metabolic control, acute complications, and rates of recommended screening tests in the DPV cohort. Diabetes centers were classified according to the number of patients from "XS" to "XL" (<20 [XS], ≥20 to <50 [S], ≥50 to <100 [M], ≥100 to <200 [L], ≥200 [XL]). RESULTS: Over the 10-year period, metabolic control improved significantly in "M", "L" and "XL" diabetes centers. Treatment targets are best achieved in "M" centers, while "XS" centers have the highest mean hemoglobin A1c. The relation between hemoglobin A1c and center size follows a "v-shaped" curve. In 2009, conventional insulin therapy was most frequently used in "XS" centers, but in 2018, there was no difference in mode of insulin therapy according to center size. Use of CSII and sensor augmented CSII/hybrid closed loop increased with center size. Patients cared for in "XS" diabetes centers had the fewest follow-up visits per year. The rates of severe hypoglycemia and DKA were lowest in "XL" diabetes centers, and the rate of DKA was highest in "XS" centers. CONCLUSION: Center size influences quality of care in pediatric patients with type 1 diabetes. Further investigations regarding contributing factors such as staffing and financial resources are required.

A collaborative comparison of international pediatric diabetes registries.

BACKGROUND: An estimated 1.1 million children and adolescents aged under 20 years have type 1 diabetes worldwide. Principal investigators from seven well-established longitudinal pediatric diabetes registries and the SWEET initiative have come together to provide an international collaborative perspective and comparison of the registries. WORK FLOW: Information and data including registry characteristics, pediatric participant clinical characteristics, data availability and data completeness from the Australasian Diabetes Data Network (ADDN), Danish Registry of Childhood and Adolescent Diabetes (DanDiabKids), Diabetes prospective follow-up registry (DPV), Norwegian Childhood Diabetes Registry (NCDR), National Paediatric Diabetes Audit (NPDA), Swedish Childhood Diabetes Registry (Swediabkids), T1D Exchange Quality Improvement Collaborative (T1DX-QI), and the SWEET initiative was extracted up until 31 December 2020. REGISTRY OBJECTIVES AND OUTCOMES: The seven diabetes registries and the SWEET initiative collectively show data of more than 900 centers and around 100,000 pediatric patients, the majority with type 1 diabetes. All share the common objectives of monitoring treatment and longitudinal outcomes, promoting quality improvement and equality in diabetes care and enabling clinical research. All generate regular benchmark reports. Main differences were observed in the definition of the pediatric population, the inclusion of adults, documentation of CGM metrics and collection of raw data files as well as linkage to other data sources. The open benchmarking and access to regularly updated data may prove to be the most important contribution from registries. This study describes aspects of the registries to enable future collaborations and to encourage the development of new registries where they do not exist.

Longitudinal relationship of particulate matter and metabolic control and severe hypoglycaemia in children and adolescents with type 1 diabetes.

BACKGROUND: Evidence for the metabolic impact of long-term exposure to air pollution on diabetes is lacking. We investigated the association of particulate matter <10 µm (PM10) and <2.5 µm (PM2.5) with yearly averages of HbA1c, daily insulin dose (IU/kg) and rates of severe hypoglycaemia in type 1 diabetes (T1D). METHODS: We studied data of 44,383 individuals with T1D < 21 years which were documented in 377 German centres within the diabetes prospective follow-up registry (DPV) between 2009 and 2018. Outcomes were aggregated by year and by patient. PM10-and PM2.5-yearly averages prior to the respective treatment year were linked to individuals via the five-digit postcode areas of residency. Repeated measures linear and negative binomial regression were used to study the association between PM-quartiles (Q1 lowest, Q4 highest concentration) and yearly averages of HbA1c, daily insulin dose and rates of severe hypoglycaemia (confounders: sex, time-dependent age, age at diabetes onset, time-dependent type of treatment, migratory background, degree of urbanisation and socioeconomic index of deprivation). RESULTS: Adjusted mean HbA1c increased with PM10 (Q1: 7.96% [95%-CI: 7.95-7.98], Q4: 8.03% [8.02-8.05], p-value<0.001) and with PM2.5 (Q1: 7.97% [7.95-7.99], Q4: 8.02% [8.01-8.04], p < 0.001). Changes in daily insulin dose were inversely related to PM (PM10 and PM2.5: Q1 0.85 IU/kg [0.84-0.85], Q4: 0.83 IU/kg [0.82-0.83], p < 0.001). Adjusted rates of severe hypoglycaemia increased with PM-quartile groups (PM10 Q1:11.2 events/100 PY [10.9-11.5], PM10 Q4: 15.3 [14.9-15.7], p < 0.001; PM2.5 Q1: 9.9 events/100 PY [9.6-10.2], PM2.5 Q4: 14.2 [13.9-14.6], p < 0.001). DISCUSSION: Air pollution was associated with higher HbA1c levels and increased risk of severe hypoglycaemia in people with T1D, consequently indicating a higher risk of diabetes complications. Further studies are needed to explore causal pathways of the observed associations.

Worldwide differences in childhood type 1 diabetes: The SWEET experience.

OBJECTIVE: To study worldwide differences in childhood diabetes, comparing relevant indicators among five regions within the SWEET initiative. SUBJECTS: We investigated 26 726 individuals with type 1 diabetes (T1D) from 54 centers in the European region; 7768 individuals from 30 centers in the Asia/Middle East/Africa region; 2642 people from five centers in Australia/New Zealand; 10 839 individuals from seven centers in North America, and 1114 patients from five centers in South America. METHODS: The SWEET database was analyzed based on the following inclusion criteria: T1D, time period 2015-2019, and age < 21 years, with analysis of the most recent documented year of therapy. For the statistical analysis, we used multivariable linear and logistic regression models to adjust for age (<6 years, 6- < 12 years, 12- < 18 years, 18- < 21 years), gender, and duration of diabetes (<2 years, 2- < 5 years, 5- < 10 years, ≥10 years). RESULTS: Adjusted HbA1c means ranged from 7.8% (95%-confidence interval: 7.6-8.1) in Europe to 9.5% (9.2-9.8) in Asia/Middle East/Africa. Mean daily insulin dose ranged from 0.8 units/kg in Europe (0.7-0.8) and Australia/New Zealand (0.6-0.9) to 1.0 unit/kg 0.9-1.1) in Asia/Middle East/Africa. Percentage of pump use was highest in North America (80.7% [79.8-81.6]) and lowest in South America (4.2% [3.2-5.6]). Significant differences between the five regions were also observed with regards to body mass index SD scores, frequency of blood glucose monitoring and presence of severe hypoglycaemia. CONCLUSIONS: We found significant heterogeneity in diabetes care and outcomes across the five regions. The aim of optimal care for each child remains a challenge.

Guidelines adherence in the prevention and management of chronic kidney disease in patients with diabetes mellitus on the background of recent European recommendations - a registry-based analysis.

BACKGROUND: Recent European Society of Cardiology (ESC)/European Association for the Study of Diabetes (EASD) guidelines provide recommendations for detecting and treating chronic kidney disease (CKD) in diabetic patients. We compared clinical practice with guidelines to determine areas for improvement. METHODS: German database analysis of 675,628 patients with type 1 or type 2 diabetes, with 134,395 included in this analysis. Data were compared with ESC/EASD recommendations. RESULTS: This analysis included 17,649 and 116,747 patients with type 1 and type 2 diabetes, respectively. The analysis showed that 44.1 and 49.1 % patients with type 1 and type 2 diabetes, respectively, were annually screened for CKD. Despite anti-diabetic treatment, only 27.2 % patients with type 1 and 43.5 % patients with type 2 achieved a target HbA1c of < 7.0 %. Use of sodium-glucose transport protein 2 inhibitors (1.5 % type 1/8.7 % type 2 diabetes) and glucagon-like peptide-1 receptor agonists (0.6 % type 1/5.2 % type 2 diabetes) was limited. Hypertension was controlled according to guidelines in 41.1 and 67.7 % patients aged 18-65 years with type 1 and 2 diabetes, respectively, (62.4 vs. 68.4 % in patients > 65 years). Renin angiotensin aldosterone inhibitors were used in 24.0 and 40.9 % patients with type 1 diabetes (micro- vs. macroalbuminuria) and 39.9 and 47.7 %, respectively, in type 2 diabetes. CONCLUSIONS: Data indicate there is room for improvement in caring for diabetic patients with respect to renal disease diagnosis and treatment. While specific and potentially clinically justified reasons for non-compliance exist, the data may serve well for a critical appraisal of clinical practice decisions.

Comparing diabetes due to diseases of the exocrine pancreas to type 1 and type 2 diabetes using propensity score matching.

OBJECTIVE: To estimate the prevalence of diabetes due to diseases of the exocrine pancreas (DEP) using data of the multicentre diabetes patient follow-up registry. Moreover, we aimed at comparing individuals with diabetes due to DEP to individuals with type 1 and type 2 diabetes. METHODS: Individuals with DEP, type 1 or type 2 diabetes ≥18 years of age were studied. We aggregated the most recent treatment year per patient and used propensity scores to match diabetes due to DEP to type 1 and type 2 diabetes. Matching was conducted one-to-one with sex, age, diabetes duration, migration background and the German index of socioeconomic deprivation as covariates. RESULTS: We identified 7,093 (1.6%) individuals with diabetes due to DEP. In the matched cohort DEP-type 1 diabetes we observed a similar daily insulin dose (0.62 IU/kg (95% confidence interval:0.60-0.63), 0.60 IU/kg (0.58-0.62)) and significant differences regarding microvascular (41.0% (39.7-42.2), 45.3% (44.0-46.6)), and macrovascular disease (16.6% (15.7-17.6), 14.7% (13.8-15.6)). HbA1c (8.2% (8.1-8.3), 7.9% (7.8-8.0)), daily insulin dose (0.60 IU/kg (0.58-0.62), 0.56 IU/kg (0.54-0.58)) and event rates of severe hypoglycemia (23.9 events/100 PY (21.4-26.8), (9.5 events/100 PY (8.0-11.2)) were significantly higher in individuals with diabetes due to DEP compared to type 2 diabetes. CONCLUSIONS: Using registry data, rare diabetes types such as diabetes due to DEP can be studied with a significant sample size. Our study identified differences and similarities between adult individuals with DEP related diabetes and type 1 or type 2 diabetes.

Renal function deterioration in adult patients with type-2 diabetes.

BACKGROUND: To explore, in a large group of patients with type-2 diabetes (T2DM), renal function decline in terms of the slope of the estimated glomerular filtration rate (eGFR) over time, and to find out how classical risk factors, such as the presence of hypertension, dyslipidemia and microalbuminuria, affect the renal function. METHODS: The analysis included 32,492 adult T2DM patients from the DIVE/DPV registries who had serial eGFR determinations and information on the presence of microalbuminuria, hypertension and dyslipidemia available. RESULTS: Patients had a mean age of 66.3 years, 52.6% were male with a mean BMI of 31.7 kg/m2. The mean eGFR was 78.4 ± 21.4 mL/min/1.73m2. The results showed that the prevalence of renal function impairment understood as chronic kidney disease (CKD) is considerable (53.0%) in a population of patients with T2DM and has a high incidence rate of 6.6% within a year. Serial determinations of the eGFR are, however, infrequent (7.8% of all patients) and these patients are characterised by the presence of a high-risk profile for CKD, such as hypertension (88.1%) and dyslipidemia (66.1%). Over a three-year time period, 30.9% of the patients had an eGFR slope of -12 mL/min/1.73m2 or more; and more than a doubled proportion of patients with an eGFR < 30 mL/min/1.73 m2 (3.8% vs. 1.8%; p < 0.001). Hypertension and albuminuria contributed to renal function decline while dyslipidemia did not negatively affect the slope. CONCLUSION: CKD is highly prevalent in patients with T2DM. Serial surveillance of the glomerular filtration rate is, however, not established in clinical practice, which would be necessary as indicated by a doubling of patients with an eGFR < 30 mL/min/1.73 m2 within 3 years. Moreover, the use of renin-angiotensin blocking agents was low, pointing at considerable room for improvement. Taken together we conclude that a closer surveillance of patients with diabetes based on the presence of further risk factors is mandatory combined with a mandatory prescription of RAS blocking agents once microalbuminuria and / or renal function deterioration develops.

Patient and disease characteristics of type-2 diabetes patients with or without chronic kidney disease: an analysis of the German DPV and DIVE databases.

BACKGROUND: To evaluate the characteristics of type 2 diabetes (T2DM) patients with or without chronic kidney disease (CKD) in Germany. METHODS: Using combined DPV/DIVE registry data, the analysis included patients with T2DM at least ≥ 18 years old who had an estimated glomerular filtration rate (eGFR) value available. CKD was defined as an eGFR < 60 mL/min/1.73 m2 or eGFR ≥ 60 mL/min/1.73 m2 and albuminuria (≥ 30 mg/g). Median values of the most recent treatment year per patient are reported. RESULTS: Among 343,675 patients with T2DM 171,930 had CKD. Patients with CKD had a median eGFR of 48.9 mL/min/1.73 m2 and 51.2% had a urinary albumin level ≥ 30 mg/g. They were older, had a longer diabetes duration and a higher proportion was females compared to patients without CKD (all p < 0.001). More than half of CKD patients (53.5%) were receiving long-acting insulin-based therapy versus around 39.1% of those without (p < 0.001). CKD patients also had a higher rate of hypertension (79.4% vs 72.0%; p < 0.001). The most common antihypertensive drugs among CKD patients were renin-angiotensin-aldosteron system inhibitors (angiotensin converting enzyme inhibitors 33.8%, angiotensin receptor blockers 14.2%) and diuretics (40.2%). CKD patients had a higher rate of dyslipidemia (88.4% vs 86.3%) with higher triglyceride levels (157.9 vs 151.0 mg/dL) and lower HDL-C levels (men: 40.0 vs 42.0 mg/dL; women: 46.4 vs 50.0 mg/dL) (all p < 0.001) and a higher rate of hyperkalemia (> 5.5 mmol/L: 3.7% vs. 1.0%). Comorbidities were more common among CKD patients (p < 0.001). CONCLUSION: The results illustrate the prevalence and morbidity burden associated with diabetic kidney disease in patients with T2DM in Germany. The data call for more attention to the presence of chronic kidney disease in patients with diabetes, should trigger intensified risk factor control up and beyond the control of blood glucose and HbA1c in these patients. They may also serve as a trigger for future investigations into this patient population asking for new treatment options to be developed.

Comparing clinical characteristics of pediatric patients with pancreatic diabetes to patients with type 1 diabetes: A matched case-control study.

BACKGROUND: Only few studies have been conducted on pancreatic diabetes and data from large epidemiological studies are missing. Our main objective was to study the most important differences and similarities between pediatric individuals with pancreatic diabetes and type 1 diabetes (T1D). METHODS: Patients <20 years of age were identified from the diabetes patient follow-up registry (DPV). Data of the most recent treatment year between January 2000 and March 2018 were aggregated. Propensity score was used to match individuals with pancreatic diabetes to individuals with T1D. Matching was conducted one-to-one by sex, age, diabetes duration, body mass index SD score (BMI-SDS), and migration background. RESULTS: We studied 731 individuals with pancreatic diabetes and 74 460 with T1D. In the matched cohort of 631 pairs, HbA1c was significantly lower in pancreatic diabetes (7.4% [95% confidence interval: 7.2; 7.5%]) compared to T1D patients (8.7% [8.5; 8.8%]). Daily insulin dose (0.80 IU/kg [0.77; 0.84] vs 0.86 IU/kg [0.82; 0.90]) and insulin pump use (13.3% [10.7; 16.4] vs 22.1% [19.0; 25.6%]) were lower in patients with pancreatic diabetes. However, event rates of severe hypoglycemia were similar between pancreatic and T1D patients (8.8 [5.4; 14.2] vs 9.6 [5.9; 15.6] events per 100 patient years). CONCLUSIONS: With the use of robust epidemiological data, our study improves the knowledge on clinical characteristics in pediatric individuals with pancreatic diabetes. Moreover, our results serve as a basis to reconsider treatment options and for discussing clinical practice guidelines for patients with this rare medical condition.

Impact of long-term air pollution exposure on metabolic control in children and adolescents with type 1 diabetes: results from the DPV registry.

AIMS/HYPOTHESIS: Studies on the association between air pollution and metabolic control in children and adolescents with type 1 diabetes are rare and findings are inconsistent. We examined the relationship between air pollution variables (particulate matter with an aerodynamic diameter <10 µm [PM10], NO2 and accumulated ozone exposure [O3-AOT]) and metabolic variables (HbA1c and daily insulin dose [U/kg body weight]) in children and adolescents with type 1 diabetes. METHODS: We investigated 37,372 individuals with type 1 diabetes aged <21 years, documented between 2009 and 2014 in 344 German centres of the prospective diabetes follow-up registry (Diabetes-Patienten-Verlaufsdokumentation [DPV]). Long-term air pollution exposure (annual and quinquennial means) data were linked to participants via the five-digit postcode areas of residency. Cross-sectional multivariable regression analysis was used to examine the association between air pollution and metabolic control. RESULTS: After comprehensive adjustment, an interquartile range increase in O3-AOT was associated with a lower HbA1c (-3.7% [95% CI -4.4, -3.0]). The inverse association between O3-AOT and HbA1c persisted after additional adjustment for degree of urbanisation or additional adjustment for PM10. Moreover, the inverse association remained stable in further sensitivity analyses. No significant associations between HbA1c and PM10 or NO2 were found. No association was observed between any of the three air pollutants and insulin dose. CONCLUSIONS/INTERPRETATION: The inverse association between O3-AOT and HbA1c could not be explained by regional differences in diabetes treatment or by other differences between urban and rural areas. Furthermore, our results remained stable in sensitivity analyses. Further studies on the association between air pollution and HbA1c in children and adolescents with type 1 diabetes are needed to confirm our observed association and to elucidate underlying mechanisms.

Regional differences in type 2 diabetes treatment and outcomes in Germany-An analysis of the German DPV and DIVE registries.

AIMS: On the basis of the Diabetes Versorgungs-Evaluation (DIVE) and Diabetes-Patienten-Verlaufsdokumentation (DPV) datasets, we aimed to explore the impact of differences in treatment modalities on outcomes in Germany and put these into a global context. METHODS: The 2014 to 2016 DIVE and DPV databases were combined, and a total of 127 838 patients 18 years and older was analysed with respect to demographics, cardiovascular risk factors, comorbidities, treatments, and outcomes, separately for each German state. Estimates were expressed as adjusted least squares means together with 95% confidence intervals. RESULTS: Saarland dataset recorded the lowest mean HbA1c (6.7%; 6.6%-6.8%; 50 mmol/mol, 49-51 mmol/mol), Saxony-Anhalt showed the highest (8.3%; 8.2%-8.3%; 67 mmol/mol, 66-67 mmol/mol). The highest percentage of hypoglycaemic events was reported in Mecklenburg-West Pomerania (MWP) (4.7%; 3.9%-5.7%), the lowest in Thuringia (0.9%; 0.2%-3.4%). Metformin and sulfonylurea accounted for 36.4% to 53.3% of anti-diabetic treatments across states; other antihyperglycaemic drugs such as DPP-4 inhibitors, SGLT2 inhibitors, and GLP-1 analogues were used most often in MWP (40.0%; 37.8%-42.1%) and least in Rhineland-Palatinate (13.6%; 13.0%-14.2%). Treatment with insulin (alone or in combination) was reported most often in MWP (78.2%; 76.4%-80.0%) and least in Thuringia (26.0%; 20.1%-32.9%). CONCLUSIONS: Federal states in Germany are heterogeneous concerning diabetes treatment and associated outcomes. These data should stimulate further discussion about how optimal diabetes care can be implemented in all areas of Germany, to achieve good treatment outcomes in all federal states.

Adolescent type 2 diabetes: Comparing the Pediatric Diabetes Consortium and Germany/Austria/Luxemburg Pediatric Diabetes Prospective registries.

OBJECTIVE: To examine and compare the clinical characteristics and treatment of youth with type 2 diabetes (T2D) in two registries: one in Europe and one in the United States. METHODS: Youth with onset of T2D at 10 to 18 years of age with current age <20 years and an office visit after diabetes duration >1 year were identified in the European (Prospective Diabetes Follow-up, DPV) and the United States (Pediatric Diabetes Consortium, PDC) databases. Demographic, physical and clinical characteristics and treatment at diagnosis as well as physical characteristics, treatment, laboratory data, and diabetes adverse events at most recent visit were analyzed from both registries. RESULTS: At diagnosis, the majority were female and obese; 70% of DPV vs 34% of PDC youth were diagnosed by targeted diabetes testing. PDC youth were younger, 12 vs 13 years (P < 0.001), had a greater body mass index-SDS, 3.07 vs 2.74 (P < 0.001), a higher hemoglobin A1c (HbA1c), 9.9% vs 7.1% (P < 0.001), were more likely to present in DKA, 7.5% vs 1.3% (P < 0.001) and more likely to be treated with insulin, 62% vs 32% (P < 0.001); insulin treatment difference was not significant when adjusted for HbA1c. At follow-up, DPV youth had shorter diabetes duration, 2.1 vs 3.2 years (P < 0.001), lower HbA1c, 6.5% vs 7.8% (P < 0.001), were less likely to be treated with insulin, 36% vs 56%, (P < 0.001), and were more likely to have dyslipidemia and hypertension than PDC youth. PDC youth had a higher rate of microalbuminuria. CONCLUSIONS: Both DPV and PDC youth have multiple risks for diabetes complications. Understanding reasons for persistently higher HbA1c in PDC youth requires further study.

Dyslipidaemia and its treatment in patients with type 2 diabetes: A joint analysis of the German DIVE and DPV registries.

AIMS: To compare lipid abnormalities in people with and without type 2 diabetes mellitus (T2DM) and to assess the effect of treatment. MATERIALS AND METHODS: We combined data from the German DIVE (DIabetes Versorgungs-Evaluation) and DPV (Diabetes-Patienten-Verlaufsdokumentation) databases to produce a large cohort of people with T2DM. The characteristics of people receiving and not receiving lipid-modifying therapy (LMT) were compared, including demographics, cardiovascular (CV) risk factors and comorbidities. Lipid profiles were evaluated, and the achievement of recommended LDL cholesterol and non-HDL cholesterol targets was assessed. The effect on lipid levels in subgroups of patients aged ≥60 years, being obese or with CV disease was also investigated. RESULTS: A total of 363 949 people were included in the analysis. Of these, only 97 160 (26.7%) were receiving LMT. These individuals were older than those not receiving LMT, and comorbidities were more prevalent. Statins were the most commonly used agents (84.2%), with ezetimibe, fibrates and nicotinic acid taken by a small proportion of people. The median LDL cholesterol level was lower for the LMT group (100.5 vs 114.0 mg/dL; P < .001), as was the non-HDL cholesterol level (131.0 vs 143.1 mg/dL; P < .001), while the triglyceride level was higher (160.3 vs 152.0 mg/dL; P < .001). HDL cholesterol was lower in the LMT group for both men (41.0 vs 42.0 mg/dL; P < .001) and women (47.5 vs 48.0 mg/dL; P < .001). Elderly people were more likely to have achieved the target lipid levels, while obese people were less likely. For people with CV disease, there was a greater likelihood of achieving LDL, total and non-HDL cholesterol targets, but less chance of attaining a desired HDL cholesterol level. CONCLUSIONS: Dyslipidaemia was highly prevalent in this large population and management of lipid abnormalities was suboptimal. The distinct lipid profile of people with T2DM warrants further investigation into the use of non-statins in addition to statin LMT.