Search

This article discusses the use of smartwatches and machine learning algorithms for detecting hypoglycemia in individuals with diabetes. The study conducted at the University Hospital Bern involved participants with type 1 diabetes who were subjected to hypoglycemia while driving in a simulator. The results showed that smartwatches can accurately detect pronounced hypoglycemia, but their performance in detecting mild hypoglycemia was less reliable. The study also found that electrodermal activity was a crucial feature for detecting hypoglycemia. Further research is needed to optimize the models for detecting milder hypoglycemia. The study was funded by various organizations and the authors declare no conflicts of interest. [Extracted from the article]

Comparing the technical reliability and insulin dosing of a "do-it-yourself artificial pancreas" with a commercial hybrid closed-loop system in a "shadow-mode" scenario: An exploratory study Day-and-night glycaemic control with closed-loop insulin delivery versus conventional insulin pump therapy in free-living adults with well controlled type 1 diabetes: an open-label, randomised, crossover study. Keywords: CSII; insulin pump therapy; subcutaneous injection; type 1 diabetes EN CSII insulin pump therapy subcutaneous injection type 1 diabetes 2780 2783 4 08/03/23 20230901 NES 230901 INTRODUCTION Do-it-yourself artificial pancreas systems (DIYAPSs) are compound devices that autonomously adjust insulin dosage in people with diabetes. However, the DIYAPS was not delivering insulin, which might have caused an overcompensation of insulin adaptions if delivered insulin doses were lower than calculated by the DIYAPS. [Extracted from the article]

Introduction: The COVID‐19 pandemic has forced rapid reconsideration as to the way in which health care is delivered. One potential means to provide care while avoiding unnecessary person‐to‐person contact is to offer remote services (telemedicine). This study aimed to (1) gather real‐time information on the use and perception of telemedicine in people living with type 1 diabetes and (2) assess the challenges, such as restricted access to health care and/or medical supplies. Methods: An anonymous questionnaire was widely distributed between 24 March and 5 May 2020 using an open‐access web‐based platform. Data were analysed descriptively, and results were stratified according to age, sex and HbA1c. Results: There were 7477 survey responses from individuals in 89 countries. Globally, 30% reported that the pandemic had affected their healthcare access due to cancelled physical appointments with their healthcare providers. Thirty‐two per cent reported no fundamental change in their medical follow‐up during this period, with 9% stating that no personal contact was established with their doctors over the duration of the study. Twenty‐eight per cent received remote care through telephone (72%) or video‐calls (28%). Of these, 86% found remote appointments useful and 75% plan to have remote appointments in the future. Glucose control, indicated by HbA1c, was positively associated with positive perception of telemedicine. In males, 45% of respondents with an HbA1c > 9% rated telemedicine not useful compared to those with lower HbA1c, while 20% of females with an HbA1c > 9% rated it not useful (χ2 = 14.2, P =.0016). Conclusion: Remote appointments have largely been perceived as positive in people with type 1 diabetes with the majority (75%) stating that they would consider remote appointments beyond the pandemic. Age and level of education do not appear to influence perception of telemedicine, whereas poor glucose control, particularly in males, seems to negatively affect perception. [ABSTRACT FROM AUTHOR]

Open source artificial pancreas systems (OpenAPS) have gained considerable interest in the diabetes community. We analyzed continuous glucose monitoring (CGM) records of 80 OpenAPS users with type 1 diabetes (T1D). A total of 19 495 days (53.4 years) of CGM records were available. Mean glucose was 7.6 ± 1.1 mmol/L, time in range 3.9–10 mmol/L was 77.5 ± 10.5%, <3.9 mmol/L was 4.3 ± 3.6%, <3.0 mmol/L was 1.3 ± 1.9%, >10 mmol/L was 18.2 ± 11.0% and > 13.9 mmol/L was 4.1 ± 4.0%, respectively. In 34 OpenAPS users, additional CGM records were obtained while using sensor‐augmented pump therapy (SAP). After changing from SAP to OpenAPS, lower mean glucose (−0.6 ± 0.7; P < 0.0001), lower estimated HbA1c (−0.4 ± 0.5%; P < 0.0001), higher time in range 3.9–10 mmol/L (+9.3 ± 9.5%; P < 0.0001), less time < 3.0 mmol/L (−0.7 ± 2.2%; P = 0.0171), lower coefficient of variation (−2.4 ± 5.8; P = 0.0198) and lower mean of daily differences (−0.6 ± 0.9 mmol/L; P = 0.0005) was observed. Glycaemic control using OpenAPS was comparable with results of more rigorously developed and tested AP systems. However, OpenAPS was used by a highly selective, motivated and technology‐adept cohort, despite not being approved for the treatment of individuals with T1D. [ABSTRACT FROM AUTHOR]