Fuller, Spencer D Hu, Jenny Liu, James C Gibson, Ella Gregory, Martin Kuo, Jessica Rajagopal, Rithwick
Published in
Journal of diabetes science and technology
Artificial intelligence-based technology systems offer an alternative solution for diabetic retinopathy (DR) screening compared with standard, in-office dilated eye examinations. We performed a cost-effectiveness analysis of Automated Retinal Image Analysis System (ARIAS)-based DR screening in a primary care medicine clinic that serves a low-income...
Staudt, Michael D Prabhala, Tarun Sheldon, Breanna L Quaranta, Nicholas Zakher, Michael Bhullar, Ravneet Pilitsis, Julie G Argoff, Charles E
Published in
Journal of diabetes science and technology
The development of painful diabetic neuropathy (PDN) is a common complication of chronic diabetes that can be associated with significant disability and healthcare costs. Prompt symptom identification and aggressive glycemic control is essential in controlling the development of neuropathic complications; however, adequate pain relief remains chall...
León-Vargas, Fabian Arango Oviedo, Jineth Andrea Luna Wandurraga, Héctor Javier
Published in
Journal of diabetes science and technology
Artificial pancreas is a well-known research topic devoted to achieving better glycemic outcomes that has been attracting increasing attention over the years. However, there is a lack of systematic, chronological, and synthesizing studies that show the background of the knowledge generation in this field. This study implements a bibliometric analys...
De Livera, Alysha M Shaw, Jonathan E Cohen, Neale Reutens, Anne Salim, Agus
Published in
Journal of diabetes science and technology
Continuous glucose monitoring (CGM) systems are an essential part of novel technology in diabetes management and care. CGM studies have become increasingly popular among researchers, healthcare professionals, and people with diabetes due to the large amount of useful information that can be collected using CGM systems. The analysis of the data from...
Benesch, Carsten Kuhlenkötter, Mareike Nosek, Leszek Heise, Tim
Published in
Journal of diabetes science and technology
In automated glucose clamp experiments, blood glucose (BG) concentrations are kept close to a predefined target level using variable glucose infusion rates (GIRs) determined by implemented algorithms. Clamp quality (ie, the ability to keep BG close to target) highly depends on the quality of these algorithms. We developed a new Clamp algorithm base...
Ma, Xiaosu Benson, Charles T Prescilla, Randy Zhang, Shuyu Linnebjerg, Helle LaBell, Elizabeth S Morrow, Linda A Jackson, Jeffrey A Nguyen, Alex Ilag, Liza L
...
Published in
Journal of diabetes science and technology
Human regular U-500 insulin (U-500R) is approved for subcutaneous (SC) injection in patients with diabetes requiring >200 units/day of insulin. Here, pharmacokinetic and pharmacodynamic (PK/PD) profiles following U-500R administered by continuous subcutaneous insulin infusion (CSII) and SC injection in adults with type 2 diabetes (T2D) on high-dose...
Garg, Nidhi Arunan, Shaima Kattungal Arora, Sandeep Kaur, Kiranjeet
Published in
Journal of diabetes science and technology
Gestational diabetes mellitus (GDM) is an increasing health issue among pregnant women worldwide. Treatment of hyperglycemia during pregnancy improves outcomes for both mothers and infants. Effectively performing and reviewing self-monitoring of blood glucose is time-consuming for patients and care providers. In the modern era, most people having a...
Porter, Michael Fonda, Stephanie Swigert, Tamara Ehrhardt, Nicole
Published in
Journal of diabetes science and technology
Isaacson, Brad Kaufusi, Stephanie Sorensen, Jeff Joy, Elizabeth Jones, Christopher Ingram, Valerie Mark, Nickolas Phillips, Mike Briesacher, Mark
Published in
Journal of diabetes science and technology
Approximately 30 million Americans currently suffer from diabetes, and nearly 55 million people will be impacted by 2030. Continuous glucose monitoring (CGM) systems help patients manage their care with real-time data. Although approximately 95% of those with diabetes suffer from type 2, few studies have measured CGM's clinical impact for this segm...
Stimson, Roland H Dover, Anna R Forbes, Shareen Strachan, Mark W J McKnight, John A Gibb, Fraser W
Published in
Journal of diabetes science and technology
Discrepancy between HbA1c and glucose exposure may have significant clinical implications. We sought to assess predictors of disparity between HbA1c and flash monitoring metrics and how these relate to microvascular complications. We conducted a cross-sectional study of adults with type 1 diabetes (n = 518). We assessed the relationship between cli...
