Association of a lifestyle score with cardiometabolic markers among individuals with diabetes: a cross-sectional study.

Introduction: To investigate the associations of a lifestyle score with various cardiovascular risk markers, indicators for fatty liver disease as well as MRI-determined total, subcutaneous and visceral adipose tissue mass in adults with new-onset diabetes.

Research Design And Methods: This cross-sectional analysis included 196 individuals with type 1 (median age: 35 years; median body mass index (BMI): 24 kg/m²) and 272 with type 2 diabetes (median age: 53 years; median BMI: 31 kg/m²) from the German Diabetes Study. A healthy lifestyle score was generated based on healthy diet, moderate alcohol consumption, recreational activity, non-smoking and non-obese BMI.

Can Synthetic Images Improve CNN Performance in Wound Image Classification?

For artificial intelligence (AI) based systems to become clinically relevant, they must perform well. Machine Learning (ML) based AI systems require a large amount of labelled training data to achieve this level. In cases of a shortage of such large amounts, Generative Adversarial Networks (GAN) are a standard tool for synthesising artificial training images that can be used to augment the data set.

How German vascular surgeons and angiologists judge walking exercise for patients with PAD.

To determine the physician's perspective and perception on walking exercise as well as barriers in guideline-directed best medical treatment of patients with lower extremity peripheral arterial disease (PAD). All members of the German Society for Vascular Surgery and Vascular Medicine and of the German Society for Angiology - Society for Vascular Medicine with valid email address were invited to participate in an electronic survey on walking exercise for treatment of intermittent claudication that was developed by the authors. Amongst 3910 invited participants, 743 (19%) provided valid responses (33% females, 84% vascular surgery, 15% angiology).

Relative validity of a glycemic index extended food-frequency questionnaire.

Background And Aims: The dietary glycemic index (GI) and glycemic load (GL) are increasingly recognized as important for the prevention and management of diabetes mellitus. To extend the portfolio of assessment methods for large-scale epidemiological studies, we propose a GI-specific addition to an already established FFQ.

Methods And Results: The German version of the EPIC-FFQ was extended by GI-specific questions for major carbohydrate sources varying notably in GI (breakfast cereals, bread, pasta, rice, potato etc.

Automatic Wound Type Classification with Convolutional Neural Networks.

Chronic wounds are ulcerations of the skin that fail to heal because of an underlying condition such as diabetes mellitus or venous insufficiency. The timely identification of this condition is crucial for healing. However, this identification requires expert knowledge unavailable in some care situations.

An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers.

Venous leg ulcers and diabetic foot ulcers are the most common chronic wounds. Their prevalence has been increasing significantly over the last years, consuming scarce care resources. This study aimed to explore the performance of detection and classification algorithms for these types of wounds in images.

Adjustment of Anti-Hyperglycaemic Agents During Bowel Preparation for Colonoscopy in Patients with Diabetes.

Objective: Due to the growing diabetes pandemic, the number of colonoscopies performed in patients with diabetes is steadily rising. However, recommendations on adjustments of anti-hyperglycaemic agents (AHG) during bowel preparation for colonoscopy are limited.

Methods: A total of nine articles were revealed on a PubMed search using the search terms "diabetes" and "colonoscopy", "sigmoidoscopy", "endoscopy", "endoscopic intervention", "endoscopic invasive diagnostics", "endoscopic surgery", or "diabetes care in the hospital" and manual screening of the references of the articles reporting on AHG adjustment during bowel preparation.

Socio-economic inequalities in glycaemic control in recently diagnosed adults with type 1 and type 2 diabetes.

Background And Aims: It is unclear whether socio-economic status (SES) is associated with glycaemic control in people with recently diagnosed diabetes. The aim was to investigate whether SES is related to haemoglobin A1c (HbA1c) during the first year after diagnosis in people with type 1 and type 2 diabetes and if metabolic, quality of care or mental factors may explain the association.

Methods: In the German Diabetes Study, people with type 1 (n = 274, median age 36 [25th; 75th percentile: 28; 48] years) and type 2 diabetes (n = 424, 54 [47; 60] years) underwent detailed metabolic characterisation within the first year after diagnosis.

Automatic Classification of Diabetic Foot Ulcer Images - A Transfer-Learning Approach to Detect Wound Maceration.

Diabetic foot ulcer (DFU) is a chronic wound and a common diabetic complication as 2% - 6% of diabetic patients witness the onset thereof. The DFU can lead to severe health threats such as infection and lower leg amputations, Coordination of interdisciplinary wound care requires well-written but time-consuming wound documentation. Artificial intelligence (AI) systems lend themselves to be tested to extract information from wound images, e.

Comparison of patient characteristics between East Asian and non-East Asian patients with insulin autoimmune syndrome.

Objective: Insulin autoimmune syndrome (IAS) is the third most common cause of spontaneous hypoglycaemia in Japan but very rare in the rest of the world. We aimed to identify factors, which are associated with the occurrence of IAS and which may differ between East Asian and non-East Asian patients.

Design: A PubMed search using the search terms 'insulin autoimmune syndrome' and 'Hirata disease' revealed a total of 287 reports of IAS cases, including one previously unpublished own case.