Treatment of young patients with HNF1A mutations (HNF1A-MODY).

AIM: Children and adolescents with a molecular diagnosis of HNF1A-MODY should be treated with oral sulfonylurea according to current International Society for Pediatric and Adolescent Diabetes (ISPAD) guidelines. METHODS: We surveyed the German-Austrian DPV database of 50 043 people and included 114 patients with a confirmed molecular-genetic diagnosis of HNF1A mutation and diabetes onset at below age 18 years. We analysed hypoglycaemic episodes, metabolic control (HbA1c ) and other clinical variables according to treatment groups. RESULTS: People with HNF1A-MODY were included and analysed according to treatment with insulin alone (n = 34), sulfonylurea (n = 30), meglitinides (n = 22) or lifestyle (n = 28). In those receiving any drug treatment (n = 86), severe hypoglycaemia did not occur with meglitinide and was highest (at 3.6 events per 100 patient-years) with insulin. HbA1c was highest with insulin treatment (insulin = 58 mmol/mol, 7.5%; sulfonylurea = 55 mmol/mol, 7.2%; meglitinides = 52 mmol/mol, 6.9%; P = 0.008), whereas weight (BMI SD score), serum lipids and blood pressure were not different. CONCLUSIONS: Of note, 40% of people with HNF1A-MODY and medical treatment were receiving insulin alone and thus were not being treated in line with up-to-date International Society for Pediatric and Adolescent Diabetes/International Diabetes Federation guidelines, despite insulin treatment being associated with worse metabolic control and the risk of hypoglycaemia. The unlicensed use of oral drugs in patients below age 18 years and adherence by both doctors and patients to the initial insulin treatment might contribute to this finding.

Are insulin analogues detemir or glulisine used preferentially in overweight/obese subjects? A German multicentre analysis of 38560 type 2 diabetic patients from the DPV registry.

OBJECTIVE: Several studies suggest benefits of insulin analogues detemir or glulisine in overweight and obese patients with type 2 diabetes. The present multicentre study therefore examines, whether these insulin analogues are used more frequently in patients with increased body mass index. METHODS: Data of 38 560 adult type 2 diabetic patients using insulin analogues, from 150 centres in Germany, registered in a standardized, prospective, computer-based documentation program (DPV), were included. Patients were classified into body mass index categories according to World Health Organization. Analysis was stratified by 3 time periods. To adjust for confounding effects, multivariable logistic regression models were created. RESULTS: Detemir was preferentially used in overweight (OR 1.36, 95%-CI 1.20-1.53) and obese patients (OR 2.06, 95%-CI 1.84-2.31) compared to normal-weight patients. These effects remained significant after adjusting for sex, age, new/old federal state of Germany, size of centre, treatment in university clinic and clinic/specialized private practice. Models were additionally adjusted for time period and interaction of BMI category with age or sex. For glulisine, a minor effect was present when comparing obese to normal-weight patients (OR 1.26, 95%-CI 1.06-1.50). After adjustment, this finding was no longer significant. Stratified by obesity grade, class III obese patients more frequently used detemir or glulisine compared to class I obese patients. Comparing time periods, odds ratios did not differ, neither for detemir nor for glulisine. CONCLUSION: Detemir is used more often in overweight and obese patients compared to normal-weight patients. For glulisine, the relationship is less pronounced.

Is there a benefit to use calculated percent body fat or age- and gender-adjusted BMI-SDS(LMS) to predict risk factors for cardiovascular disease? A German/Austrian multicenter DPV-Wiss analysis on 42 048 type 2 diabetic patients.

OBJECTIVE: In clinical practice Body Mass Index is generally used to evaluate overweight status in adults. The present multicenter study examines whether Body Mass Index (BMI), age- and gender-adjusted Body Mass Index Standard Deviation Score, or calculated %body fat is a better predictor for cardiovascular disease risk factors, specifically hypertension and dyslipidemia, in a high-risk population. METHODS: Data of 42 048 adult type 2 diabetic patients (median age: 67.1 years) from 161 centers in Germany (n=158) and Austria (n=3) registered in a standardized, prospective, computer-based documentation program, were included in the study. For each patient body weight, height, blood pressure and blood lipids were documented. Spearman correlation analyses as well as multivariable logistic regression models were used to examine the relationship between anthropometric measurements and cardiovascular disease risk factors. RESULTS: Correlation and regression analyses revealed minor, non significant differences between the 3 anthropometric measurements (all p>0.05). In both genders, relationships between anthropometric measurements and hypertension or reduced HDL-cholesterol were nearly identical. Only for increased triglycerides, the relations with the 3 anthropometric measurements were significantly stronger in males than in females (p<0.0001, respectively). With increasing age, associations between anthropometric measurements and hypertension, reduced HDL-cholesterol or increased triglycerides became weaker. Spearman correlation coefficients for total cholesterol and LDL-cholesterol revealed weak associations with the 3 anthropometric measurements. CONCLUSION: Compared to Body Mass Index, age- and gender-adjusted Body Mass Index Standard Deviation Score, or calculation of %body fat, has no further benefit to predict cardiovascular disease risk factors in adult type 2 diabetic patients.