Q-Score Complements the Time in Range in the Evaluation of Short-Term Glycemic Control.

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.

Integration and holistic analysis of multiple multidimensional soil data sets.

Complex matrices such as soil have a range of measurable characteristics, and thus data to describe them can be considered multidimensional. These characteristics can be strongly influenced by factors that introduce confounding effects that hinder analyses. Traditional statistical approaches lack the flexibility and granularity required to adequately evaluate such matrices, particularly those with large dataset of varying data types (i.

[Use of artificial intelligence in screening for diabetic retinopathy at a tertiary diabetes center].

Background: In 2018, IDx-DR was approved as a method to determine the degree of diabetic retinopathy (DR) using artificial intelligence (AI) by the FDA.

Methods: We integrated IDx-DR into the consultation at a diabetology focus clinic and report the agreement between IDx-DR and fundoscopy as well as IDx-DR and ophthalmological image assessment and the influence of different camera systems.

Results: Adequate image quality in miosis was achieved more frequently with the Topcon camera (n = 456; NW400, Topcon Medical Systems, Oakland, NJ, USA) compared with the Zeiss camera (n = 47; Zeiss VISUCAM 500, Carl Zeiss Meditec AG, Jena, Germany).

[Type 1 diabetes: an update].

The incidence of type 1 diabetes (T1D) has been rising steadily over the last 30 years, especially among children and adolescents, with the result that the number of cases in this age group doubles every 20 years. The development of T1D goes through three stages, which can vary in duration from individual to individual. Late diagnosis or incorrect interpretation of the symptoms leads to the life-threatening diabetic ketoacidosis, from which every third child in Germany suffers at the manifestation of T1D.