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.

Prevalence of elevated liver enzymes in adults with type 1 diabetes: A multicentre analysis of the German/Austrian DPV database.

AIMS: To assess the prevalence of elevated liver enzymes in adults with type 1 diabetes mellitus (T1DM) in routine clinical care and the association with cardiovascular risk profile in the Diabetes-Prospective-Documentation (DPV) network in Germany and Austria. SUBJECTS AND METHODS: This cross sectional observational study from the DPV registry includes data from 45 519 adults with T1DM at 478 centres up to September 2016. Liver enzyme measurements were available in 9226 (29%) patients at 270 centres and were analysed for increased alanine aminotransferase (ALT; men >50 U/L, women >35U/L) and/or aspartate aminotransferase (AST; men >50 U/L, women >35U/L) and/or gamma-glutamyltransferase (GGT; men >60U/L, women >40 U/L). A subgroup analysis in patients for whom 2 or more ALT measurements were available (n = 2335, 25%) and whose ALT was increased at least twice (men >30 U/L, women >19U/L) was performed. Associations with glycaemic control, cardiovascular risk factors and late complications were investigated with multiple regression analyses. RESULTS: Twenty percent (19.8%, n = 1824) had increased liver enzyme(s) on one or more occasions. Increased liver enzymes were associated with worse glycaemic control and higher BMI (both P < .0001), dyslipidemia (OR, 1.75; 95% CI, 1.54-2.0), hypertension (OR, 1.48; 95% CI: 1.31-1.68), myocardial infarction (OR, 1.49; 95% CI, 1.17-1.91) and end stage renal disease (OR, 1.59; 95% CI, 1.17-2.17). ALT was increased twice in 29% and was associated with worse glycaemic control (P < .0001), higher BMI (P < .0001), hypertension (OR, 1.58; 95% CI, 1.26-1.97) and dyslipidemia (OR, 1.89; 95% CI, 1.51-2.37). CONCLUSIONS: In this clinical audit in adults with T1DM, elevated liver enzymes on routine assessment were associated with a less favourable cardiovascular risk profile and with poorer glycaemic control.

Immune-checkpoint inhibitor-associated diabetes compared to other diabetes types - A prospective, matched control study.

BACKGROUND: To describe checkpoint inhibitor-induced diabetes mellitus (CPI-DM) and to compare with regular type 1 (T1DM), type 2 (T2DM), and medication-induced diabetes mellitus (MI-DM). METHODS: We included 88 177 adult patients from the Diabetes Patient Follow-Up (DPV) registry with diabetes manifestation between 2011 and 2020. Inclusion criteria were T1DM, T2DM, MI-DM, or CPI-DM. Because of the heterogeneity between the groups, we matched patients by age, sex, and diabetes duration using propensity scores. Patient data were aggregated in the respective first documented treatment year. RESULTS: The matched cohort consisted of 24 164 patients; T1DM: 29, T2DM: 24000, MI-DM: 120, CPI-DM: 15 patients. Median age at manifestation of CPI-DM patients was 63.6 (57.2-72.8) years (53.3% male). Body mass index in CPI-DM patients was significantly lower (26.8 [23.9-28.1] kg/m2 ) compared with T2DM patients (29.8 [26.2-34.3] kg/m2 , P = 0.02). At manifestation, HbA1c was significantly higher in CPI-DM compared with MI-DM, but there was no difference during follow-up. Diabetic ketoacidosis (DKA) was documented in six CPI-DM patients (T1DM: 0%, T2DM: 0.4%, MI-DM: 0.0%). Fourteen CPI-DM patients were treated with insulin, and three received additional oral antidiabetics. The most common therapy in T2DM was lifestyle modification (38.8%), insulin in MI-DM (52.5%). Concomitant autoimmune thyroid disease was present in four CPI-DM patients (T1DM: 0.0%, T2DM: 1.0%, MI-DM: 0.8%). CONCLUSIONS: The data from this controlled study show that CPI-DM is characterized by a high prevalence of DKA, autoimmune comorbidity, and metabolic decompensation at onset. Structured diagnostic monitoring is warranted to prevent DKA and other acute endocrine complications in CPI-treated patients.

Long-term trends of BMI and cardiometabolic risk factors among adults with type 1 diabetes: An observational study from the German/Austrian DPV registry.

AIMS: To analyse time-trends in BMI, obesity and cardiometabolic risk in adults with type 1 diabetes (T1DM) from the Diabetes Prospective Follow-up registry DPV. METHODS: Data from 62,519 individuals with T1DM (age ≥ 18 years, BMI ≥ 18.5 kg/m2) were analysed. Multivariable regression models were used to determine time-trends in BMI, obesity and cardiometabolic risk and to identify predictors for increasing BMI. Results were compared to the NCD Risk Factor Collaboration (NCD-RisC) data for Germany. RESULTS: Between 1999 and 2018 mean BMI increased from 25.0 kg/m2 to 26.2 kg/m2 in individuals with T1DM. This trend was most pronounced in young and middle-aged individuals (>21-55 years of age) and in those with higher baseline BMI. Insulin dose and diabetes duration were associated with increasing BMI. Between 1999 and 2016, the prevalence of obesity increased 1.8-fold in individuals with T1DM and 1.4-fold among the German population, respectively (NCD-RisC). Approximately 50-70% of individuals with obesity were insufficiently treated for hypertension and/or dyslipidaemia. CONCLUSION: In adults with T1DM the prevalence of obesity is increasing at a faster pace than in the German population. BMI needs to be closely monitored, particularly during young adulthood, and cardiovascular risk factors need to be controlled better to prevent CVD and premature death.

Real-life experience of patients starting insulin degludec. A multicenter analysis of 1064 subjects from the German/Austrian DPV registry.

BACKGROUND: The long-acting insulin analogue degludec is a therapeutic option for patients with type 1 (T1D) or type 2 diabetes (T2D). Aim of this analysis was to investigate differences in clinical characteristics of patients before and after initiating degludec use in a cohort of German/Austrian patients. METHODS: 1064 subjects with T1D/T2D and documented degludec use from the Diabetes-Patient-Follow-Up (DPV) registry were included. The follow-up cohort (n=421) comprised patients with available data before and 3-15months after switching to degludec. A t-test for paired values was implemented to compare rates of severe hypoglycaemia, and mean values for HbA1C, BMI, basal insulin dose/kg bodyweight/day, and the number of basal insulin injections/day before and after switching to degludec Results were stratified by type of diabetes. In T1D, subgroup analyses were conducted (age, sex, basal insulin used before switching). P<0.05 was considered significant. FINDINGS: In T1D (n=360), basal insulin dose (0.43±0.17 to 0.38±0.13IU) and the number of basal injections/day (1.7±0.6 to 1.1±0.3) decreased whereas BMI increased from 23.2±4.8 to 24.0±5.0kg/m2 (all p<0.0001) after switching to degludec. No significant changes were observed regarding rates of severe hypoglycaemia or HbA1C-values. Findings were comparable for subgroups. In T2D (n=61), basal insulin dose (0.41±0.23 to 0.38±0.21; p=0.1730) and the number of basal injections/day (1.3±0.4 to 1.1±0.3; p=0.0097) decreased after switching to degludec. HbA1C improved from 7.9±1.6 to 7.1±1.5% (p<0.0001). CONCLUSIONS: The DPV registry provides data from real-life diabetes care. Our analysis predominantly confirmed results from clinical trials and provides additional information complementing the clinical study program of degludec.

High rate of hypoglycemia in 6770 type 2 diabetes patients with comorbid dementia: A multicenter cohort study on 215,932 patients from the German/Austrian diabetes registry.

AIMS: Dementia and type 2 diabetes (T2D) are two major phenomena in older people. To compare anti-hyperglycemic therapy and diabetes-related comorbidities between elderly T2D patients with or without comorbid dementia. METHODS: 215,932 type 2 diabetes patients aged ≥ 40 years (median [Q1;Q3]: 70.4 [61.2;77.7] years) from the standardized, multicenter German/Austrian diabetes patient registry, DPV, were studied. To identify patients with comorbid dementia, the registry was searched by ICD-10 codes, DSM-IV/-5 codes, respective search terms and/or disease-specific medication. For group comparisons, multiple hierarchic regression modeling with adjustments for age, sex, and duration of diabetes was applied. RESULTS: 3.1% (n=6770; 57% females) of the eligible T2D patients had clinically recognized comorbid dementia. After adjustment for demographics, severe hypoglycemia (insulin group: 14.8 ± 0.6 vs. 10.4 ± 0.2 events per 100 patient-years, p<0.001), hypoglycemia with coma (insulin group: 7.6 ± 0.4 vs. 3.9 ± 0.1 events per 100 patient-years, p<0.001), depression (9.9 vs. 4.7%, p<0.001), hypertension (74.7 vs. 72.2%, p<0.001), stroke (25.3 vs. 6.5%, p<0.001), diabetic foot syndrome (6.0 vs. 5.2%, p=0.004), and microalbuminuria (34.7 vs. 32.2%, p<0.001) were more common in dementia patients compared to T2D without dementia. Moreover, patients with dementia received insulin therapy more frequently (59.3 vs. 54.7%, p<0.001), but metabolic control (7.7 ± 0.1 vs. 7.7 ± 0.1%) was comparable to T2D without dementia. CONCLUSIONS: In T2D with dementia, higher rates of hypoglycemia and other diabetes-related comorbidities were observed. Hence, the risks of a glucocentric and intense diabetes management with insulin and a focus on tight glycemic control without considering other factors may outweigh the benefits in elderly T2D patients with comorbid dementia.