Search Results - "Journal of diabetes science and technology"

Glycemic Characteristics and Clinical Outcomes of COVID-19 Patients Hospitalized in the United States by Bode, Bruce, Garrett, Valerie, Messler, Jordan, McFarland, Raymie, Crowe, Jennifer, Booth, Robby, Klonoff, David C.

“…Introduction: Diabetes has emerged as an important risk factor for severe illness and death from COVID-19. There is a paucity of information on glycemic…”
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The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c by Beck, Roy W., Bergenstal, Richard M., Cheng, Peiyao, Kollman, Craig, Carlson, Anders L., Johnson, Mary L., Rodbard, David

“…Background: As the use of continuous glucose monitoring (CGM) increases, there is a need to better understand key metrics of time in range 70-180 mg/dL…”
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A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings by Klonoff, David C., Wang, Jing, Rodbard, David, Kohn, Michael A., Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne L., Umpierrez, Guillermo E., Seley, Jane Jeffrie, Xu, Nicole Y., Nguyen, Kevin T., Simonson, Gregg, Agus, Michael S. D., Al-Sofiani, Mohammed E., Armaiz-Pena, Gustavo, Bailey, Timothy S., Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn Yeshiwas, Benhamou, Pierre-Yves, Bequette, B. Wayne, Blevins, Thomas, Breton, Marc D., Castle, Jessica R., Chase, James Geoffrey, Chen, Kong Y., Choudhary, Pratik, Clements, Mark A., Close, Kelly L., Cook, Curtiss B., Danne, Thomas, Doyle, Francis J., Drincic, Angela, Dungan, Kathleen M., Edelman, Steven V., Ejskjaer, Niels, Espinoza, Juan C., Fleming, G. Alexander, Forlenza, Gregory P., Freckmann, Guido, Galindo, Rodolfo J., Gomez, Ana Maria, Gutow, Hanna A., Heinemann, Lutz, Hirsch, Irl B., Hoang, Thanh D., Hovorka, Roman, Jendle, Johan H., Ji, Linong, Joshi, Shashank R., Joubert, Michael, Koliwad, Suneil K., Lal, Rayhan A., Lansang, M. Cecilia, Lee, Wei-An (Andy), Leelarathna, Lalantha, Leiter, Lawrence A., Lind, Marcus, Litchman, Michelle L., Mader, Julia K., Mahoney, Katherine M., Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras N., Mayorov, Alexander, Messler, Jordan, Miller, Joshua D., Mohan, Viswanathan, Nichols, James H., Nørgaard, Kirsten, O’Neal, David N., Pasquel, Francisco J., Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William H., Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun-Jung, Russell, Steven J., Shah, Viral N., Sherr, Jennifer L., Sode, Koji, Spanakis, Elias K., Wake, Deborah J., Waki, Kayo, Wallia, Amisha, Weinberg, Melissa E., Wolpert, Howard, Wright, Eugene E., Zilbermint, Mihail, Kovatchev, Boris

“…Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical…”
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A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support by Greenwood, Deborah A., Gee, Perry M., Fatkin, Kathy J., Peeples, Malinda

“…Background: Since the introduction of mobile phones, technology has been increasingly used to enable diabetes self-management education and support. This…”
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Machine Learning Methods to Predict Diabetes Complications by Dagliati, Arianna, Marini, Simone, Sacchi, Lucia, Cogni, Giulia, Teliti, Marsida, Tibollo, Valentina, De Cata, Pasquale, Chiovato, Luca, Bellazzi, Riccardo

“…One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decision rules…”
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The UVA/PADOVA Type 1 Diabetes Simulator: New Features by Man, Chiara Dalla, Micheletto, Francesco, Lv, Dayu, Breton, Marc, Kovatchev, Boris, Cobelli, Claudio

“…Objective: Recent studies have provided new insights into nonlinearities of insulin action in the hypoglycemic range and into glucagon kinetics as it relates…”
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Accuracy of a 14-Day Factory-Calibrated Continuous Glucose Monitoring System With Advanced Algorithm in Pediatric and Adult Population With Diabetes by Alva, Shridhara, Bailey, Timothy, Brazg, Ronald, Budiman, Erwin S., Castorino, Kristin, Christiansen, Mark P., Forlenza, Gregory, Kipnes, Mark, Liljenquist, David R., Liu, Hanqing

“…Background: In this study, we evaluated the analytical performance of the second-generation factory-calibrated FreeStyle Libre Flash Glucose Monitoring…”
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Implementation of Continuous Glucose Monitoring in the Hospital: Emergent Considerations for Remote Glucose Monitoring During the COVID-19 Pandemic by Galindo, Rodolfo J., Aleppo, Grazia, Klonoff, David C., Spanakis, Elias K., Agarwal, Shivani, Vellanki, Priya, Olson, Darin E., Umpierrez, Guillermo E., Davis, Georgia M., Pasquel, Francisco J.

“…Continuous glucose monitoring (CGM) has become a widely used tool in the ambulatory setting for monitoring glucose levels, as well as detecting uncontrolled…”
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Continuous Glucose Monitors and Automated Insulin Dosing Systems in the Hospital Consensus Guideline by Galindo, Rodolfo J., Umpierrez, Guillermo E., Rushakoff, Robert J., Basu, Ananda, Lohnes, Suzanne, Nichols, James H., Spanakis, Elias K., Espinoza, Juan, Palermo, Nadine E., Awadjie, Dessa Garnett, Bak, Leigh, Buckingham, Bruce, Cook, Curtiss B., Freckmann, Guido, Heinemann, Lutz, Hovorka, Roman, Mathioudakis, Nestoras, Newman, Tonya, O’Neal, David N., Rickert, Michaela, Sacks, David B., Seley, Jane Jeffrie, Wallia, Amisha, Shang, Trisha, Zhang, Jennifer Y., Han, Julia, Klonoff, David C.

“…This article is the work product of the Continuous Glucose Monitor and Automated Insulin Dosing Systems in the Hospital Consensus Guideline Panel, which was…”
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The UVA/Padova Type 1 Diabetes Simulator Goes From Single Meal to Single Day by Visentin, Roberto, Campos-Náñez, Enrique, Schiavon, Michele, Lv, Dayu, Vettoretti, Martina, Breton, Marc, Kovatchev, Boris P., Dalla Man, Chiara, Cobelli, Claudio

“…Background: A new version of the UVA/Padova Type 1 Diabetes (T1D) Simulator is presented which provides a more realistic testing scenario. The upgrades to the…”
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Health Sensors, Smart Home Devices, and the Internet of Medical Things: An Opportunity for Dramatic Improvement in Care for the Lower Extremity Complications of Diabetes by Basatneh, Rami, Najafi, Bijan, Armstrong, David G.

“…Objective: The prevalent and long-neglected diabetic foot ulcer (DFU) and its related complications rank among the most debilitating and costly sequelae of…”
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Patient Demographics and Clinical Outcomes Among Type 1 Diabetes Patients Using Continuous Glucose Monitors: Data From T1D Exchange Real-World Observational Study by DeSalvo, Daniel J., Noor, Nudrat, Xie, Cicilyn, Corathers, Sarah D., Majidi, Shideh, McDonough, Ryan J., Polsky, Sarit, Izquierdo, Roberto, Rioles, Nicole, Weinstock, Ruth, Obrynba, Kathryn, Roberts, Alissa, Vendrame, Francesco, Sanchez, Janine, Ebekozien, Osagie

“…Background: The benefits of Continuous Glucose Monitoring (CGM) on glycemic management have been demonstrated in numerous studies; however, widespread uptake…”
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Measuring Plantar Tissue Stress in People With Diabetic Peripheral Neuropathy: A Critical Concept in Diabetic Foot Management by Lazzarini, Peter A., Crews, Ryan T., van Netten, Jaap J., Bus, Sicco A., Fernando, Malindu E., Chadwick, Paul J., Najafi, Bijan

“…Excessive stress on plantar tissue over time is one of the leading causes of diabetic foot ulcers among people with diabetic peripheral neuropathy. Plantar…”
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Feature-Based Machine Learning Model for Real-Time Hypoglycemia Prediction by Dave, Darpit, DeSalvo, Daniel J., Haridas, Balakrishna, McKay, Siripoom, Shenoy, Akhil, Koh, Chester J., Lawley, Mark, Erraguntla, Madhav

“…Background: Hypoglycemia is a serious health concern in youth with type 1 diabetes (T1D). Real-time data from continuous glucose monitoring (CGM) can be used…”
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Provider Implicit Bias Impacts Pediatric Type 1 Diabetes Technology Recommendations in the United States: Findings from The Gatekeeper Study by Addala, Ananta, Hanes, Sarah, Naranjo, Diana, Maahs, David M., Hood, Korey K.

“…Background: Diabetes technology use is associated with favorable type 1 diabetes (T1D) outcomes. American youth with public insurance, a proxy for low…”
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Benefits and Limitations of MARD as a Performance Parameter for Continuous Glucose Monitoring in the Interstitial Space by Heinemann, Lutz, Schoemaker, Michael, Schmelzeisen-Redecker, Günther, Hinzmann, Rolf, Kassab, Adham, Freckmann, Guido, Reiterer, Florian, Del Re, Luigi

“…High-quality performance of medical devices for glucose monitoring is important for a safe and efficient usage of this diagnostic option by patients with…”
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Continuous Glucose Monitoring Devices: Past, Present, and Future Focus on the History and Evolution of Technological Innovation by Didyuk, Olesya, Econom, Nicolas, Guardia, Angelica, Livingston, Kelsey, Klueh, Ulrike

“…The concept of implantable glucose sensors has been promulgated for more than 40 years. It is now accepted that continuous glucose monitoring (CGM) increases…”
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Continuous Glucose Monitoring in Older Adults With Type 1 and Type 2 Diabetes Using Multiple Daily Injections of Insulin: Results From the DIAMOND Trial by Ruedy, Katrina J., Parkin, Christopher G., Riddlesworth, Tonya D., Graham, Claudia

“…Objective: The objective was to determine the effectiveness of real-time continuous glucose monitoring (CGM) in adults ≥ 60 years of age with type 1 (T1D) or…”
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Use and Accuracy of Inpatient CGM During the COVID-19 Pandemic: An Observational Study of General Medicine and ICU Patients by Longo, Rebecca Rick, Elias, Heather, Khan, Mehvish, Seley, Jane Jefferie

“…Background: Continuous glucose monitoring (CGM) is widely used in the outpatient setting for people with diabetes and has been limited to investigational use…”
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State of the Science: A Scoping Review and Gap Analysis of Diabetes Online Communities by Litchman, Michelle L., Walker, Heather R., Ng, Ashley H., Wawrzynski, Sarah E., Oser, Sean M., Greenwood, Deborah A., Gee, Perry M., Lackey, Mellanye, Oser, Tamara K.

“…Background: Individuals with diabetes are using online resources to engage in diabetes online communities to find diabetes-related support and information. The…”
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