134 results match your criteria: "Institute of Diabetes Gerhardt Katsch[Affiliation]"

Background And Aims: The Q-Score is a single-number composite metric that is constructed based on the following components: central glycemic tendency, hyperglycemia, hypoglycemia, and intra- and interday variability. Herein, we refined the Q-Score for the screening and analysis of short-term glycemic control using continuous glucose monitoring (CGM) profiles.

Methods: Continuous glucose monitoring profiles were obtained from noninterventional, retrospective cross-sectional studies.

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Aims/hypothesis: There is a lack of e-health systems that integrate the complex variety of aspects relevant for diabetes self-management. We developed and field-tested an e-health system (POWER2DM) that integrates medical, psychological and behavioural aspects and connected wearables to support patients and healthcare professionals in shared decision making and diabetes self-management.

Methods: Participants with type 1 or type 2 diabetes (aged >18 years) from hospital outpatient diabetes clinics in the Netherlands and Spain were randomised using randomisation software to POWER2DM or usual care for 37 weeks.

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Background: The increasing prevalence of type 2 diabetes mellitus (T2D) and specialist shortage has caused a healthcare gap that can be bridged by a decision support system (DSS). We investigated whether a diabetes DSS can improve long- and/or short-term glycemic control.

Methods: This is a retrospective observational cohort study of the Diabetiva program, which offered a patient-tailored DSS using Karlsburger Diabetes-Management System (KADIS) once a year.

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The authors would like to note that several errors had occurred, especially in Table 2, Tables 5, 6 and 7, Figure 13, and in the legend of Figure 23.

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The immune system is closely intertwined with the endocrine system. Many effects of medications used for various clinical endocrine conditions such as the metabolic syndrome, hypercholesterolemia, diabetes mellitus, hypertension, Graves' disease and others also have an impact on the immune system. Some drugs including statins, metformin, angiotensin converting enzyme and proprotein-convertase-subtilisin-kexin type-9 (PCSK9) inhibitors and sex hormones are known to have immunomodulatory properties.

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Methods from non-linear dynamics have enhanced understanding of functional dysregulation in various diseases but received less attention in diabetes. This retrospective cross-sectional study evaluates and compares relationships between indices of non-linear dynamics and traditional glycemic variability, and their potential application in diabetes control. Continuous glucose monitoring provided data for 177 subjects with type 1 ( = 22), type 2 diabetes ( = 143), and 12 non-diabetic subjects.

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Aims: The aim of this study was to analyze the incidence rates of type 1 diabetes in Saxony before and after the German reunification.

Methods: The study examined two registries: one until 1990 and one since 1999. Only patients under 15 years of age with type 1 diabetes and living in Saxony were included in the study.

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Aims: The dynamical structure of glucose fluctuation has largely been disregarded in the contemporary management of diabetes.

Methods: In a retrospective study of patients with diabetes, we evaluated the relationship between glucose dynamics, antihyperglycemic therapy, glucose variability, and glucose exposure, while taking into account potential determinants of the complexity index. We used multiscale entropy (MSE) analysis of continuous glucose monitoring data from 131 subjects with type 1 (n = 18), type 2 diabetes (n = 102), and 11 nondiabetic control subjects.

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Continuous standardized verification of the accuracy of blood glucose meter systems for self-monitoring after their introduction into the market is an important clinically tool to assure reliable performance of subsequently released lots of strips. Moreover, such published verification studies permit comparison of different blood glucose monitoring systems and, thus, are increasingly involved in the process of evidence-based purchase decision making.

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Aim: DPP-4/CD26 degrades the incretins GLP-1 and GIP. The localization of DPP-4 within the human pancreas is not well documented but is likely to be relevant for understanding incretin function. We aimed to define the cellular localization of DPP-4 in the human pancreas from cadaveric organ donors with and without diabetes.

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Aims: To estimate the national incidence rate and trend of type 1 diabetes (T1DM) in Germany from 1999 to 2008 and the national prevalence in 2008 in the age group 0-14 years.

Methods: Data were taken from a nationwide registry for incident cases of T1DM in the ages 0-4 years and 3 regional registries (North-Rhine-Westphalia, Baden-Wuerttemberg and Saxony) for incident cases of T1DM in the ages 0-14 years covering 41% of the child population in Germany. The degree of ascertainment was ≥ 97% in all registries.

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The benchmark for assessing quality of long-term glycemic control and adjustment of therapy is currently glycated hemoglobin (HbA1c). Despite its importance as an indicator for the development of diabetic complications, recent studies have revealed that this metric has some limitations; it conveys a rather complex message, which has to be taken into consideration for diabetes screening and treatment. On the basis of recent clinical trials, the relationship between HbA1c and cardiovascular outcomes in long-standing diabetes has been called into question.

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Objective: To determine whether characteristics of glucose dynamics are reflections of β-cell function or rather of inadequate diabetes control.

Materials/methods: We analyzed historical liquid meal tolerance test (LMTT) and continuous glucose monitoring (CGM) data, which had been obtained from 56 non-insulin treated type 2 diabetic outpatients during withdrawal of antidiabetic drugs. Computed CGM parameters included detrended fluctuation analysis (DFA)-based indices, autocorrelation function exponent, mean amplitude of glycemic excursions (MAGE), glucose SD, and measures of glycemic exposure.

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The importance of glycaemic variability (GV) as a factor in the pathophysiology of cellular dysfunction and late diabetes complications is currently a matter of debate. However, there is mounting evidence from in vivo and in vitro studies that GV has adverse effects on the cascade of physiological processes that result in chronic β-cell dysfunctions. Glucose fluctuations more than sustained chronic hyperglycaemia can induce excessive formation of reactive oxygen (ROS) and reactive nitrogen species (RNS), ultimately leading to apoptosis related to oxidative stress.

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Background: Several telemedicine-based eHealth programs exist, but patient-focused personalized decision support (PDS) is usually lacking. We evaluated the acceptance, efficiency, and cost-effectiveness of telemedicine-assisted PDS in routine outpatient diabetes care.

Methods: Data are derived from the Diabetiva® program of the German health insurance company BKK TAUNUS.

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GIP metabolite [GIP (3-42)] and GLP-1 metabolite [GLP-1 (9-36) amide] have been reported to differ with regard to biological actions. Systemic DPP-4 inhibition can therefore reveal different actions of GIP and GLP-1. In catheter wearing Wistar rats, insulinotropic effects of equipotent doses of GIP (2.

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Objective: The aim of this study was to evaluate the impact of personalized decision support (PDS) on metabolic control in people with diabetes and cardiovascular disease.

Research Design And Methods: The German health insurance fund BKK TAUNUS offers to its insured people with diabetes and cardiovascular disease the possibility to participate in the Diabetiva® program, which includes PDS. Personalized decision support is generated by the expert system KADIS® using self-control data and continuous glucose monitoring (CGM) as its data source.

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Model-based decision support in diabetes care.

Comput Methods Programs Biomed

May 2011

Institute of Diabetes "Gerhardt Katsch" Karlsburg, Greifswalder Str. 11e, D-17495 Karlsburg, Germany.

The model-based Karlsburg Diabetes Management System (KADIS®) has been developed as a patient-focused decision-support tool to provide evidence-based advice for physicians in their daily efforts to optimize metabolic control in diabetes care of their patients on an individualized basis. For this purpose, KADIS® was established in terms of a personalized, interactive in silico simulation procedure, implemented into a problem-related diabetes health care network and evaluated under different conditions by conducting open-label mono- and polycentric trials, and a case-control study, and last but not least, by application in routine diabetes outpatient care. The trial outcomes clearly show that the recommendations provided to the physicians by KADIS® lead to significant improvement of metabolic control.

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The Zucker fatty rat (fa/fa; ZR) is considered as a model for pre-diabetes, as characterised by a genetic defect in the leptin receptor, which results in hyperphagia, insulin resistance, hyperinsulinaemia, hyperlipoproteinaemia, and obesity. These animals become glucose intolerant but do not develop type 2 diabetes. As a consequence of increased adiposity and insulin resistance, the endocrine pancreas of ZR undergoes adaptive and compensatory changes.

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Objective: Glucose fluctuations trigger activation of oxidative stress, a main mechanism leading to secondary diabetes complications. We evaluated the relationship between glycemic variability and beta-cell dysfunction.

Research Design And Methods: We conducted a cross-sectional study in 59 patients with type 2 diabetes (aged 64.

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Given the importance of glucose variability in the development of diabetic complications, the present study used continuous glucose monitoring (CGM) to determine various indices of glucose variability and to investigate their relationships with conventional measures of chronic sustained hyperglycemia. We examined 53 women and 61 men, aged 36-79 years afflicted with type 2 diabetes for 1-24 years. The following indices of glycemic variability were computed from CGM data sets: mean amplitude of glycemic excursions (MAGE), CGM glucose range, interquartile range (IQR), SD-score, and average daily risk range (ADRR).

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Cytokine- and FasL-induced pathways contribute to beta-cell death in type 1 diabetes. It remains unclear, however, whether pro-apoptotic cyto-kines or FasL have more apoptotic impact. Cytokine- and FasL-induced apoptosis were simulated using IL-1beta/IFN-gamma, Super-FasLigand and the beta-cell line NIT-1.

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