Hermanns, Norbert Kulzer, Bernd Klonoff, David C Heinemann, Lutz
Published in
Journal of diabetes science and technology
Diabetes technology is a dynamically evolving field. Sometimes the pace of evaluation of new diabetes technologies does not keep pace with its dynamic development. This leads to a dilemma: either the evaluation lags behind the developing technologies or diabetes technologies are used without sufficient evaluation. This situation is known as the Cat...
Wong, Jessie J Hood, Korey K Hanes, Sarah J Lal, Rayhan A Naranjo, Diana
Published in
Journal of diabetes science and technology
This study examined the psychosocial impact of Loop, an open-source automated insulin dosing system that has emerged from the diabetes technology "Do-It-Yourself" (DIY) movement. Subsamples of 239 adults, 115 children, and 243 parents completed data collection at the time of Loop initiation and 3 and 6 months later. Surveys collected demographic an...
Kastner, Jasmin R Eisler, Gabriella Torjman, Marc C Khalf, Abdurizzagh Diaz, David Dinesen, Alek R Loeum, Channy Strasma, Paul J Joseph, Jeffrey I
Published in
Journal of diabetes science and technology
Infusion set function remains the limiting factor of insulin pump therapy due to nonmetabolic complications. Here, we tested an investigational extended-wear infusion set prototype with a soft, angled, wire-reinforced cannula with three additional side holes, and compared failure mechanisms and tissue response with a commercial Teflon control. A to...
Bailey, Richard Donthi, Sriya Markt, Sarah Drummond, Colin Cullen, Jennifer
Published in
Journal of diabetes science and technology
The 2022 American Diabetes Association (ADA) Standards of Care recommends considering use of continuous glucose monitoring (CGM) for insulin-managed diabetes mellitus (DM), but equitable access remains challenging. This study evaluates socioeconomic and demographic metrics associated with CGM use. RStudio 2021.09.1+372 was utilized to perform uni- ...
Oriot, Philippe Viry, Claire Vandelaer, Antoine Grigioni, Sébastien Roy, Malanie Philips, Jean Christophe Prévost, Gaëtan
Published in
Journal of diabetes science and technology
Assessment of glucose exposure via glycated hemoglobin A1c (HbA1c) has limitations for interpretation in individuals with diabetes and chronic kidney disease (CKD). The glucose management indicator (GMI) derived from continuous glucose monitoring (CGM) data could be an alternative. However, the concordance between HbA1c measured in laboratory and G...
Battelino, Tadej Brosius, Frank Ceriello, Antonio Cosentino, Francesco Green, Jennifer Kellerer, Monika Koob, Susan Kosiborod, Mikhail Lalic, Nebojsa Marx, Nikolaus
...
Published in
Journal of diabetes science and technology
Advances in the development of innovative medical devices and telehealth technologies create the potential to improve the quality and efficiency of diabetes care through collecting, aggregating, and interpreting relevant health data in ways that facilitate more informed decisions among all stakeholder groups. Although many medical societies publish...
Klonoff, David C Nguyen, Kevin T Xu, Nicole Y Gutierrez, Alberto Espinoza, Juan C Vidmar, Alaina P
Published in
Journal of diabetes science and technology
Continuous glucose monitor (CGM) systems were originally intended only for people with diabetes. Recently, there has been interest in monitoring glucose concentrations in a variety of other situations. As data accumulate to support the use of CGM systems in additional states unrelated to diabetes, the use of CGM systems is likely to increase accord...
Eby, Elizabeth L Kelly, Neal R Hertzberg, Jeffrey K Blodgett, Moira C Stubbins, Callie Patel, Raja H Meadows, Eric S Benneyworth, Brian D Faries, Douglas E
Published in
Journal of diabetes science and technology
The aim of this study was to develop a predictive model to classify people with type 2 diabetes (T2D) into expected levels of success upon bolus insulin initiation. Machine learning methods were applied to a large nationally representative insurance claims database from the United States (dNHI database; data from 2007 to 2017). We trained boosted d...
Askari, Mohammad Reza Rashid, Mudassir Sun, Xiaoyu Sevil, Mert Shahidehpour, Andrew Kawaji, Keigo Cinar, Ali
Published in
Journal of diabetes science and technology
Predicting carbohydrate intake and physical activity in people with diabetes is crucial for improving blood glucose concentration regulation. Patterns of individual behavior can be detected from historical free-living data to predict meal and exercise times. Data collected in free-living may have missing values and forgotten manual entries. While m...
Messer, Laurel H Berget, Cari Centi, Sophia Mcnair, Bryan Forlenza, Gregory P
Published in
Journal of diabetes science and technology
The purpose of this study was to develop and test a new Clinic Tool to assist health care professionals with clinical care of persons with diabetes using the Control-IQ system. A Clinic Tool was iteratively developed with input from diabetes clinicians, which outlined a systematic process for assessing data, reviewing insulin settings, providing ed...