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Featured researches published by Barbara Bohn.


Diabetes Care | 2015

Impact of Physical Activity on Glycemic Control and Prevalence of Cardiovascular Risk Factors in Adults With Type 1 Diabetes: A Cross-sectional Multicenter Study of 18,028 Patients

Barbara Bohn; Antje Herbst; Martin Pfeifer; Dietmar Krakow; Stefan Zimny; Florian Kopp; Andreas Melmer; Jürgen M. Steinacker; Reinhard W. Holl

OBJECTIVE Physical activity (PA) can improve cardiovascular risk in the general population and in patients with type 2 diabetes. Studies also indicate an HbA1c-lowering effect in patients with type 2 diabetes. Since reports in patients with type 1 diabetes are scarce, this analysis aimed to investigate whether there is an association between PA and glycemic control or cardiovascular risk in subjects with type 1 diabetes. RESEARCH DESIGN AND METHODS A total of 18,028 adults (≥18 to <80 years of age) from Germany and Austria with type 1 diabetes from the Diabetes-Patienten-Verlaufsdokumentation (DPV) database were included. Patients were stratified according to their self-reported frequency of PA (PA0, inactive; PA1, one to two times per week; PA2, more than two times per week). Multivariable regression models were applied for glycemic control, diabetes-related comorbidities, and cardiovascular risk factors. Data were adjusted for sex, age, and diabetes duration. P values for trend were given. SAS 9.4 was used for statistical analysis. RESULTS An inverse association between PA and HbA1c, diabetic ketoacidosis, BMI, dyslipidemia (all P < 0.0001), and hypertension (P = 0.0150), as well as between PA and retinopathy or microalbuminuria (both P < 0.0001), was present. Severe hypoglycemia (assistance required) did not differ in PA groups (P = 0.8989), whereas severe hypoglycemia with coma was inversely associated with PA (P < 0.0001). CONCLUSIONS PA seemed to be beneficial with respect to glycemic control, diabetes-related comorbidities, and cardiovascular risk factors without an increase of adverse events. Hence, our data underscore the recommendation for subjects with type 1 diabetes to perform regular PA.


Diabetes Research and Clinical Practice | 2016

Trend of antihyperglycaemic therapy and glycaemic control in 184,864 adults with type 1 or 2 diabetes between 2002 and 2014: Analysis of real-life data from the DPV registry from Germany and Austria.

Barbara Bohn; Wolfgang Kerner; Jochen Seufert; Hans-Peter Kempe; Peter M. Jehle; Frank Best; Martin Füchtenbusch; Andreas Knauerhase; Martin Hofer; Joachim Rosenbauer; Reinhard W. Holl

AIMS To analyse time trends of antihyperglycaemic therapy and glycaemic control in adult subjects with type 1, or type 2 diabetes between 2002 and 2014 in Germany/Austria. METHODS 184,864 adults with diabetes (35,144 type 1 diabetes (T1D), 149,720 type 2 diabetes (T2D)) from the DPV-database documented between 2002 and 2014 were included. Regression models were applied for antihyperglycaemic therapy in T2D (non-pharmacological, OADs only, insulin±OADs), insulin therapy in T1D (CT, ICT, CSII) and T2D (BOT, SIT, CT, ICT, CSII), for the use of insulin analogues, and for glycaemic control (HbA1C, severe hypoglycaemia), adjusting for confounders sex, age, and diabetes duration. RESULTS In T1D, CT (2002:19.7%; 2014:16.0%) and ICT (2002:66.8%; 2014:52.4%) decreased, while CSII increased from 13.5% to 31.5%. In T2D, non-pharmacological treatment became less frequent (2002:36.0%, 2014:21.8%), the use of OADs (2002:19.3%, 2014:28.9%) and insulin±OADs (2002:44.6%, 2014:49.4%) increased. BOT increased from 7.9% to 18.9%, SIT decreased from 12.0% to 8.3%. ICT slightly increased (2002:44.0%, 2014:45.3%), CT decreased (2002:35.8%, 2014:27.2%). Insulin analogues were used more frequently in T1D (rapid-acting:2002:46.8%, 2014:84.8%; long-acting:2002:26.0%, 2014:54.8%) and in T2D (rapid-acting:2002:26.0%, 2014:43.5%; long-acting:2002:13.7%, 2014:53.6%). Until 2011, HbA1C increased in T1D and T2D, but then decreased again. High variability in the rate of hypoglycaemia was observed. CONCLUSIONS This observational study indicates an increased use of insulin pumps in T1D. In T2D, non-pharmacological therapy decreased, and insulin therapy, particular as BOT, rose. An increase in the use of rapid- and long-acting insulin analogues was present in both patient-groups. Time trend was less clear in glycaemic control.


Obesity Facts | 2015

BMI or BIA: Is Body Mass Index or Body Fat Mass a Better Predictor of Cardiovascular Risk in Overweight or Obese Children and Adolescents?

Barbara Bohn; Manfred J. Müller; Gunter Simic-Schleicher; Wieland Kiess; Wolfgang Siegfried; Monika Oelert; Sabine Tuschy; Stefan Berghem; Reinhard W. Holl

Background: Body fat (BF) percentiles for German children and adolescents have recently been published. This study aims to evaluate the association between bioelectrical impedance analysis(BIA)-derived BF and cardiovascular risk factors and to investigate whether BF is better suited than BMI in children and adolescents. Methods: Data of 3,327 children and adolescents (BMI > 90th percentile) were included. Spearmans correlation and receiver operating characteristics (ROCs) were applied determining the associations between BMI or BF and cardiovascular risk factors (hypertension, dyslipidemia, elevated liver enzymes, abnormal carbohydrate metabolism). Area under the curve (AUC) was calculated to predict cardiovascular risk factors. Results: A significant association between both obesity indices and hypertension was present (all p < 0.0001), but the correlation with BMI was stronger (r = 0.22) compared to BF (r = 0.13). There were no differences between BMI and BF regarding their correlation with other cardiovascular risk factors. BF significantly predicted hypertension (AUC = 0.61), decreased HDL-cholesterol (AUC = 0.58), elevated LDL-cholesterol (AUC = 0.59), elevated liver enzymes (AUC = 0.61) (all p < 0.0001), and elevated triglycerides (AUC = 0.57, p < 0.05), but not abnormal carbohydrate metabolism (AUC = 0.54, p = 0.15). For the prediction of cardiovascular risk factors, no significant differences between BMI and BF were observed. Conclusion: BIA-derived BF was not superior to BMI to predict cardiovascular risk factors in overweight or obese children and adolescents.


PLOS ONE | 2016

20 Years of Pediatric Benchmarking in Germany and Austria: Age-Dependent Analysis of Longitudinal Follow-Up in 63,967 Children and Adolescents with Type 1 Diabetes.

Barbara Bohn; Beate Karges; Christian Vogel; Klaus-Peter Otto; Wolfgang Marg; Sabine E. Hofer; Elke Fröhlich-Reiterer; Martin Holder; Michaela Plamper; Martin Wabitsch; Wolfgang Kerner; Reinhard W. Holl; Dpv Initiative

Background To investigate changes in diabetes treatment over the last two decades in three age-groups of children and adolescents with type 1 diabetes (T1D) from Germany and Austria. Methods 63,967 subjects (<18yr) with T1D documented between 1995 and 2014 from the DPV-database were included and stratified according to age (0.5-<6, 6-<12, 12-<18yr). Regression models were applied for insulin regimens (<3 and ≥4 injection time points/day, or continuous subcutaneous insulin infusion (CSII)), use of rapid- and long acting insulin analogues, NPH insulin, and frequency of self-monitoring of blood glucose (SMBG)/day. Models were adjusted for sex, diabetes duration, and migration background. P-value for trend was given. Findings The number of subjects with <3 injection time points/day decreased from 1995 to 2014 to <5% in all age-groups (p<0.0001). Proportion of patients with ≥4 injections/day increased until the early 2000s, and then declined until 2014. This trend was not found in 6-<12yr olds (p = 0.3403). CSII increased in all age-groups (p<0.0001) with the highest increase in children <6 years (from 0.4% to 79.2%), and the lowest increase in 12-<18 year olds (from 1.0% to 38.9%). NPH insulin decreased in all age-groups (p<0.0001). Insulin analogues, especially rapid-acting, became more frequent in all age-groups (p<0.0001), accounting for 78.4% in 2014 for all subjects. The highest use was found in the youngest children (in 2014: 85.6%), the lowest use in 6-<12 year olds (in 2014: 72.9%). The number of SMBG/day increased from 2.2 to 6.4 with a similar rise in all age-groups (p<0.0001). Frequency was highest in subjects <6yr. Conclusions In all age-groups, T1D treatment was intensified over the last 20 years. Age-specific differences in trends were particularly observed in the number of patients on CSII, in the number of patients with 4 or more injections/day, and in the frequency of SMBG/day.


Experimental and Clinical Endocrinology & Diabetes | 2016

Regional Disparities in Diabetes Care for Pediatric Patients with Type 1 Diabetes. A Cross-sectional DPV Multicenter Analysis of 24 928 German Children and Adolescents

Barbara Bohn; Joachim Rosenbauer; Andrea Icks; Christian Vogel; Beyer P; Rütschle H; Hermann U; Paul-Martin Holterhus; Wagner; von Sengbusch S; Katharina Fink; Reinhard W. Holl; Dpv Initiative

BACKGROUND Data on regional differences in the quality of medical care in Germany are scarce. This study aimed to compare outcome quality and medical treatment of pediatric patients with type 1 diabetes between the federal states of Germany. METHODS 24,928 patients (< 18 years of age) with type 1 diabetes and German residence were selected from the Diabetes-Patienten-Verlaufsdokumentation database. Indicators of outcome quality were HbA1C, overweight prevalence, and rate of severe hypoglycemia. To reflect medical treatment, use of insulin pumps and use of rapid-acting or long-acting insulin analogues were analyzed. Logistic regression models were created for binary variables with federal state as independent predictor. Linear regression was applied for HbA1C and Poisson regression for rate of severe hypoglycemia. Confounders: Sex, age, diabetes duration, migratory background. RESULTS Disparity was observed for indicators of outcome quality between the 16 federal states of Germany (all p<0.05). After adjustment, HbA1C varied between 55.8 mmol/mol and 67.3 mmol/mol, overweight prevalence between 10.0 and 15.3%, severe hypoglycemia ranged from 0.06 events/PY to 0.21 events/PY. Overall, the best outcome quality appeared to be present in Saxony. Medical treatment also differed. The percentage of pediatrics on insulin pumps varied between 26.3 and 51.8%. The use of rapid-acting analogues ranged from 56.6 to 96.2% and the use of long-acting analogues varied between 41.9 and 96.9% (all p<0.0001). CONCLUSIONS Medical treatment and outcome quality in pediatrics with type 1 diabetes differed within Germany. Disparities in individual socioeconomic status, regional deprivation, or differences in medical reimbursement decisions might have contributed to the patterns observed.


Diabetes Research and Clinical Practice | 2017

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

Barbara Bohn; Artur Zimmermann; Christian Wagner; Sigrun Merger; Desiree Dunstheimer; Florian Kopp; Katja Gollisch; Volker Zindel; Reinhard W. Holl

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.


Pediatric Diabetes | 2018

Hospital admission in children and adolescents with or without type 1 diabetes from Germany: An analysis of statutory health insurance data on 12 million subjects

Barbara Bohn; Anke Schwandt; Peter Ihle; Andrea Icks; Joachim Rosenbauer; Beate Karges; Reinhard W. Holl

To compare the chance of hospital admissions in children and adolescents with type 1 diabetes (T1D) to that without T1D from Germany.


Obesity Facts | 2017

Changing Characteristics of Obese Children and Adolescents Entering Pediatric Lifestyle Intervention Programs in Germany over the Last 11 Years: An Adiposity Patients Registry Multicenter Analysis of 65,453 Children and Adolescents

Barbara Bohn; Susanna Wiegand; Wieland Kiess; Thomas Reinehr; Rainer Stachow; Johannes Oepen; Helmut Langhof; Thomas Hermann; Kurt Widhalm; Martin Wabitsch; Ines Gellhaus; Reinhard W. Holl

Objective: To examine whether characteristics of children and adolescents who start lifestyle intervention (LI) for obesity in Germany changed over the last decade. Methods: 65,453 subjects (<21 years) from the APV database (Adiposity Patients Registry) with a BMI ≥ 90th percentile were included (years 2005-2015). Logistic regression models (confounders: age, sex, migration background) were created for overweight, obesity, extreme obesity, and obesity-related comorbidities. Comorbidities were further adjusted for weight category. Results were stratified by inpatient or outpatient care. Results: Extreme obesity was found to be more frequent at the onset of LI (2005: 11.6; 2015: 12.7%) with a similar trend in subgroups (p < 0.001). Obesity increased (2005: 50.3%; 2015: 55.1%), and overweight decreased (2005: 34.1%; 2015: 29.0%) in the whole study population. Trends were similar for inpatient or outpatient care (all p < 0.001). Hypertension increased from 45.7% to 49.2% in the whole study population, and similar data were obtained in the subgroup of inpatients (both p < 0.0001). Dyslipidemia increased in all patients (2005: 21.9%; 2015: 28.0%) and in inpatients (2005: 20.2%; 2015: 25.7%; both p < 0.0001). Abnormal carbohydrate metabolism rose in all patients (from 5.2 to 6.4%; p = 0.0002) without significant trends in subgroups. Conclusion: During the last decade, children and adolescents presented with higher BMI SDS at the onset of LI and the proportion with obesity-related comorbidities increased. Particularly the presence of comorbidities differed between outpatients and inpatients.


Experimental and Clinical Endocrinology & Diabetes | 2014

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.

Barbara Bohn; Scheuing N; Jehle Pm; Laubner K; Born B; Merger S; Hummel M; Krakow D; Voll A; Zimmermann A; Zimny S; Reinhard W. Holl; Dpv; Apv initiatives

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.


Pediatric Diabetes | 2018

Oral contraception in adolescents with type 1 diabetes and its association with cardiovascular risk factors. A multicenter DPV study on 24 011 patients from Germany, Austria or Luxembourg

Barbara Bohn; Kirsten Mönkemöller; Dörte Hilgard; Axel Dost; Karl Otfried Schwab; Eggert Lilienthal; Elke Hammer; Kathrin Hake; Maria Fritsch; Bettina Gohlke; Carine De Beaufort; Reinhard W. Holl

To investigate differences in cardiovascular risk factors and metabolic control in girls with type 1 diabetes with or without use of oral contraceptives (OC) from the multicenter “diabetes prospective follow‐up” (DPV) registry.

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Christian Vogel

Boston Children's Hospital

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