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German Diabetes Center[Affiliation] Publications | LitMetric

1,699 results match your criteria: "German Diabetes Center[Affiliation]"

Background: We aimed to evaluate the incremental predictive value of metabolomic biomarkers for assessing the 10-year risk of type 2 diabetes when added to the clinical Cambridge Diabetes Risk Score (CDRS).

Methods: We utilized 86,232 UK Biobank (UKB) participants (recruited between 13 March 2006 and 1 October 2010) for model derivation and internal validation. Additionally, we included 4383 participants from the German ESTHER cohort (recruited between 1 July 2000 and 30 June 2002 for external validation).

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Seasonal influenza vaccination coverage and the social determinants of influenza vaccination among people over 50 with diabetes in Europe: Analyzing population-based SHARE data for the 2019-2020 and 2021-2022 influenza seasons.

Vaccine

December 2024

Institute of Biometry and Epidemiology, The German Diabetes Center, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany; Chair for Medical Biometry and Epidemiology, University of Witten/Herdecke, 58448 Witten, Germany. Electronic address:

Background: Seasonal influenza vaccination coverage data for adults with chronic medical conditions are very scarce. We aimed to investigate the influenza vaccination rates and explore the common social determinants associated with vaccination in Europe across two influenza seasons.

Methods: This cross-sectional study used data from the European SHARE survey for the 2019-2020 and 2021-2022 influenza seasons.

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Built-in selection or confounder bias? Dynamic Landmarking in matched propensity score analyses.

BMC Med Res Methodol

December 2024

German Diabetes Center, Leibniz Center for Diabetes Research, Institute for Biometrics and Epidemiology, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.

Background: Propensity score matching has become a popular method for estimating causal treatment effects in non-randomized studies. However, for time-to-event outcomes, the estimation of hazard ratios based on propensity scores can be challenging if omitted or unobserved covariates are present. Not accounting for such covariates could lead to treatment estimates, differing from the estimate of interest.

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Hybrid closed-loop insulin therapy and risk of severe hypoglycaemia and diabetic ketoacidosis in young people (aged 2-20 years) with type 1 diabetes: a population-based study.

Lancet Diabetes Endocrinol

December 2024

German Center for Diabetes Research (DZD), Neuherberg, Germany; Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm University, Ulm, Germany.

Background: The effect of closed-loop insulin delivery on the risk of acute diabetes complications in people with type 1 diabetes is unclear. We investigated whether the rates of severe hypoglycaemia and diabetic ketoacidosis are lower with hybrid closed-loop insulin therapy compared with sensor-augmented (open-loop) pump therapy in a large cohort of young people.

Methods: In this population-based cohort study, we evaluated young people with type 1 diabetes from 250 diabetes centres in Germany, Austria, Switzerland, and Luxembourg participating in the Diabetes Prospective Follow-up (DPV) initiative.

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Background: Distal sensorimotor polyneuropathy (DSPN) is a common neurological disorder in elderly adults and people with obesity, prediabetes and diabetes and is associated with high morbidity and premature mortality. DSPN is a multifactorial disease and not fully understood yet.

Methods: Here, we developed the Interpretable Multimodal Machine Learning (IMML) framework for predicting DSPN prevalence and incidence based on sparse multimodal data.

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Aims: Two prerequisites must be met for the precision treatment approach to be beneficial for treated individuals. First, there must be treatment heterogeneity; second, in case of treatment heterogeneity, clinical predictors to identify people who would benefit from one treatment more than from others must be available. There is an established meta-regression approach to assess these two prerequisites that relies on measuring the variability of a clinical outcome after treatment in placebo-controlled randomised trials.

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Article Synopsis
  • Event-driven trials maintain the target power for treatment effects by focusing on obtaining a required number of events, but they may take longer if the actual event rate is lower than expected.* -
  • Blinded sample size reestimation (BSSR) uses interim data to adjust sample sizes if initial assumptions are incorrect, aiming to achieve the necessary number of events within the planned timeline.* -
  • A new flexible spline-based BSSR method, specifically the Royston-Parmar model, shows improved accuracy in predicting event counts compared to traditional parametric models, as evidenced by simulation studies and real trial applications.*
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Cold acclimation with shivering improves metabolic health in adults with overweight or obesity.

Nat Metab

December 2024

Department of Nutrition and Movement Sciences, NUTRIM Institute of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.

Cold acclimation increases insulin sensitivity, and some level of muscle contraction appears to be needed for provoking this effect. Here 15 men and (postmenopausal) women with overweight or obesity, the majority of whom had impaired glucose tolerance, were intermittently exposed to cold to induce 1 h of shivering per day over 10 days. We determined the effect of cold acclimation with shivering on overnight fasted oral glucose tolerance (primary outcome) and on skeletal muscle glucose transporter 4 translocation (secondary outcome).

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The role of exosomes for sustained specific cardiorespiratory and metabolic improvements in males with type 2 diabetes after detraining.

EBioMedicine

December 2024

Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany; Department of Endocrinology and Diabetology, Medical Faculty and University Hospital, Heinrich-Heine-University, Düsseldorf, Germany. Electronic address:

Background: High-intensity interval training (HIIT) has been shown to improve cardiorespiratory fitness (V˙O max) but may ameliorate insulin sensitivity only in insulin-resistant humans. It is yet unclear whether these benefits persist after detraining and to which extent duration and effectiveness of metabolic improvements differ between individuals without and with prediabetes or type 2 diabetes (T2D). Understanding these differences is relevant for developing targeted exercise training modes for individuals with different stages of dysglycemia.

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Article Synopsis
  • - Using only one linear reference genome limits the understanding of genomic diversity; the draft human pangenome shows the need for pangenomics to address these gaps and capture more genetic variation.
  • - A new tool called Panacus (pangenome-abacus) has been developed to efficiently analyze pangenomes, capable of processing large human pangenome graphs quickly, producing interactive visualizations in under an hour.
  • - Panacus is open-source and built in Rust, available for installation through Bioconda, with its source code and documentation accessible on GitHub.
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Aims: Weight loss mediated by glucagon-like peptide-1 (GLP-1) analogues is lower in patients with type 2 diabetes versus those without. Type 2 diabetes and obesity are risk factors for metabolic dysfunction-associated steatotic liver disease (MASLD) and associated steatohepatitis (MASH). We evaluated weight changes in adults with MASLD/MASH with or without type 2 diabetes receiving the GLP-1 analogue semaglutide.

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Aims: Alterations in sleep timing can lead to disturbances in glycaemic control, although the evidence is inconsistent. Therefore, this systematic review summarizes results from human intervention studies of altered sleep timing on glycaemic outcomes.

Materials And Methods: As part of a broader search on the effect of altering timing of sleep, physical activity and dietary intake, Medline and Embase were searched from inception to February 2023, and subsequent reference searches were done.

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Optimising the treatment of chronic ischemic heart disease by training general practitioners to deliver very brief advice on physical activity (OptiCor): protocol of the systematic development and evaluation of a complex intervention.

BMC Prim Care

November 2024

Institute of General Practice (ifam), Patient-Physician-Communication Research Unit, Centre for Health and Society (chs), Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.

Background: Chronic ischemic heart disease (IHD) is one of the leading causes of morbidity and mortality. Physical activity (PA) is an effective secondary preventive strategy in IHD management. The German treatment guideline recommends that general practitioners (GPs) deliver PA advice to patients.

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Prehospital telemedicine support for urban stroke care: Analysis of current state of care and conceptualization.

BMC Emerg Med

November 2024

Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.

Background: The reduction of processing times in the treatment of acute ischemic stroke is of outstanding importance. Our objective is to analyze the acute stroke care chain from onset to treatment in a city in Germany comprising three stroke units. Additionally, we discuss solutions for detected treatment delays.

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Complex lipids, essential components in biological processes, exhibit conserved age-related changes that alter membrane properties and cellular functions and are implicated as biomarkers and contributors to longevity and age-related diseases. While physical activity alleviates age-related comorbidities and physical impairments, comprehensive exploration of the underlying biological mechanisms, particularly at the level of complex lipids, remains limited. However, clinical studies suggest that physical activity may counteract these age-related lipidomic changes, presenting a promising avenue for intervention.

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Background: Diabetic sensorimotor polyneuropathy (DSPN) is often asymptomatic and remains undiagnosed. The ability of clinical and anthropometric variables to identify individuals likely to have DSPN might be limited. Here, we aimed to integrate protein biomarkers for reliably predicting present DSPN.

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Carrageenan and insulin resistance in humans: a randomised double-blind cross-over trial.

BMC Med

November 2024

Department of Internal Medicine IV, Division of Endocrinology, Diabetology and Nephrology, University Hospital of Tübingen, Tübingen, Germany.

Background: The potential impact of specific food additives, common in Western diets, on the risk of developing type 2 diabetes is not well understood. This study focuses on carrageenan, a widely used food additive known to induce insulin resistance and gut inflammation in animal models, and its effects on human health.

Methods: In a randomised, double-blind, placebo-controlled, cross-over trial conducted at a university hospital metabolic study centre, 20 males (age 27.

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Objective: Endogenous carbonyl stress leads to the formation of advanced glycation end products (AGEs). AGEs represent a potential target to prevent or treat diabetic sensorimotor polyneuropathy (DSPN). The current study aimed to characterize cutaneous carbonyl stress, oxidative stress, immune cells, and endothelial cell damage in early type 2 diabetes compared with normal glucose tolerance (NGT) using novel cutaneous biomarkers.

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Evaluation of spatiotemporal associations between COVID-19 pandemic waves and the incidence of pediatric type 1 diabetes in Germany considering time lags: A register-based ecological study.

Diabetes Res Clin Pract

December 2024

Institute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany.

To analyze the ecological relationship between COVID-19 incidence in the total population and type 1 diabetes (T1D) incidence in children and adolescents, spatiotemporal models were applied considering time lags from 0 to 12 months. The results do not indicate a positive correlation between COVID-19 incidence and T1D incidence.

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Objective: Children in families with parental cancer may experience emotional, social or physical problems. The aims are to analyze child, parent and family-based determinants of children's health-related quality of life (HRQoL) and their experiences of parental cancer.

Methods: As part of a mixed-methods, multicenter, prospective, interventional non-randomized study "Family-SCOUT," a family-centered intervention in the form of care and case management was developed.

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Background: Limited research has been conducted on the burden of community-associated infections caused by multidrug-resistant (CA-MDRPa). We quantitatively modeled the incidence rate and clinical factors associated with CA-MDRPa among hospitalized patients in Southern China.

Methods: Data were obtained from the local nosocomial surveillance system.

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Article Synopsis
  • The study examined the relationship between Time in Range (TIR) and Time in Tight Range (TTR) with HbA1c levels in youth and young adults with type 1 diabetes using data from a large diabetes registry.
  • Results showed a strong correlation between TIR and TTR (r = 0.965) and between both metrics and HbA1c levels, indicating that higher TIR and TTR are associated with lower HbA1c levels.
  • Moreover, regression analysis suggested that TIR might be a slightly better predictor of HbA1c compared to TTR, especially in individuals with high blood glucose variability.
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Projected number of people in need for long-term care in Germany until 2050.

Front Public Health

November 2024

Faculty of Health/School of Medicine, Chair for Medical Biometry and Epidemiology, Witten/Herdecke University, Witten, Germany.

Introduction: Current demographic trends predict continuously growing numbers of individuals reliant on care, which has to be accounted for in future planning of long-term care-resources. The projection of developments becomes especially necessary in order to enable healthcare systems to cope with this future burden and to implement suitable strategies to deal with the demand of long-term care. This study aimed to project the prevalence of long-term care and the number of care-dependent people in Germany until 2050.

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