4 research outputs found

    Variability of Glycemic Outcomes and Insulin Requirements Throughout the Menstrual Cycle: A Qualitative Study on Women With Type 1 Diabetes Using an Open-Source Automated Insulin Delivery System

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    Background: The impact of hormone dynamics throughout the menstrual cycle on insulin sensitivity represents a currently under-researched area. Despite therapeutic and technological advances, self-managing insulin therapy remains challenging for women with type 1 diabetes (T1D). Methods: To investigate perceived changes in glycemic levels and insulin requirements throughout the menstrual cycle and different phases of life, we performed semi-structured interviews with 12 women with T1D who are using personalized open-source automated insulin delivery (AID) systems. Transcripts were analyzed using thematic analysis with an inductive, hypothesis-generating approach. Results: Participants reported significant differences between the follicular phase, ovulation, and luteal phase of the menstrual cycle and also during puberty, pregnancy, and menopause. All participants reported increased comfort and safety since using AID, but were still required to manually adjust their therapy according to their cycle. A lack of information and awareness and limited guidance by health care providers were frequently mentioned. Although individual adjustment strategies exist, achieving optimum outcomes was still perceived as challenging. Conclusions: This study highlights that scientific evidence, therapeutic options, and professional guidance on female health-related aspects in T1D are insufficient to date. Further efforts are required to better inform people with T1D, as well as for health care professionals, researchers, medical device manufacturers, and regulatory bodies to better address female health needs in therapeutic advances.European Commission Horizon 2020Marie Skłodowska-Curie Action Research and Innovation Staff Exchange (RISE)Berlin Institute of Health (BIH) Digital Clinician Scientist ProgramWellcome Trust SPOKES Translational Partnership programAhead of print, to check citing and date details in 6

    Network analysis shows decreased ipsilesional structural connectivity in glioma patients

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    Tumors and their location distinctly alter both local and global brain connectivity within the ipsilesional hemisphere of glioma patients. Gliomas that infiltrate networks and systems, such as the motor system, often lead to substantial functional impairment in multiple systems. Network-based statistics (NBS) allow to assess local network differences and graph theoretical analyses enable investigation of global and local network properties. Here, we used network measures to characterize glioma-related decreases in structural connectivity by comparing the ipsi- with the contralesional hemispheres of patients and correlated findings with neurological assessment. We found that lesion location resulted in differential impairment of both short and long connectivity patterns. Network analysis showed reduced global and local efficiency in the ipsilesional hemisphere compared to the contralesional hemispheric networks, which reflect the impairment of information transfer across different regions of a network.Peer reviewe

    Rolle und Einordnung digitaler Assistenzsysteme in der Arbeit 4.0

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    Mit der Einführung neuer, auf Informations- und Kommunikationstechnologien basierenden Assistenzsysteme steht die Arbeitsmedizin vor neuen Herausforderungen. Diese digitalen Assistenzsysteme bieten prinzipiell ein hohes Unterstützungspotenzial für die Beschäftigten in der Logistik, Fertigung, Instandhaltung und Wartung. Es werden Klassifikationsmöglichkeiten hinsichtlich verschiedener Kriterien (z. B. Art der Anwendung, Art der Unterstützung, Zielsetzung der Unterstützung) digitaler Assistenzsysteme dargestellt
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