Use of real-time continuous glucose monitors among people with type 1 and type 2 diabetes is growing rapidly and should continue to grow until an artificial pancreas is brought to market. Likewise, use of professional systems in healthcare practices is expanding. But, other than manufacturer instructional manuals and some book chapters on CGMs, there are no standalone publications available with concise, non-commercial instructions on CGM prescription and use. Additionally, continuous glucose monitors are too often not used to their full and proper potential. This leaves users with suboptimal glucose control and can result in system abandonment. To address this, diabetes educator and author Gary Scheiner has created Practical CGM: Improving Patient Outcomes through Continuous Glucose Monitoring to give healthcare providers the skill to make more effective use of the data generated by continuous glucose monitors, in both real-time and on a retrospective analytic basis. Using a plain-language approach and distilling content to concise, practical tips and techniques, Scheiner has created a guide that will help practitioners optimize patient use of CGM systems and, ultimately, improve glucose control and patient health outcomes.

Glucose Monitoring Devices: Measuring Blood Glucose to Manage and Control Diabetes presents the state-of-the-art regarding glucose monitoring devices and the clinical use of monitoring data for the improvement of diabetes management and control. Chapters cover the two most common approaches to glucose monitoring–self-monitoring blood glucose and continuous glucose monitoring–discussing their components, accuracy, the impact of use on quality of glycemic control as documented by landmark clinical trials, and mathematical approaches. Other sections cover how data obtained from these monitoring devices is deployed within diabetes management systems and new approaches to glucose monitoring. This book provides a comprehensive treatment on glucose monitoring devices not otherwise found in a single manuscript. Its comprehensive variety of topics makes it an excellent reference book for doctoral and postdoctoral students working in the field of diabetes technology, both in academia and industry. Presents a comprehensive approach that spans self-monitoring blood glucose devices, the use of continuous monitoring in the artificial pancreas, and intraperitoneal glucose sensing Provides a high-level descriptions of devices, as well as detailed mathematical descriptions of methods and techniques Written by experts in the field with vast experience in the field of diabetes and diabetes technology

This book provides comprehensive information on continuous glucose monitoring (CGM). The first section focuses on the fundamentals of CGM technology, including the principles of CGM, accuracy assessment, operation procedure, management processes, the picture-interpretation methodology, the clinical value of CGM parameters, reference values, clinical applications of CGM report and management systems, and clinical indications. In turn, the second section describes the clinical application of CGM, including assessing blood glucose fluctuation and hypoglycemic effects, detecting hypoglycemia and identifying fasting hyperglycemia. It also describes the role of CGM in connection with specific diseases, such as fulminant type 1 diabetes, gestational diabetes mellitus, steroid diabetes, and insulinoma. The closing chapter outlines the future of CGM. In addition, the book presents typical cases and analyses of nearly a hundred typical monitoring maps. As such, it offers diabetic health care doctors a valuable reference guide to the clinical application of and scientific research on CGM.

Being diagnosed with diabetes, no longer means giving up an active life. New technology, such as insulin pumps and continuous glucose monitors, can help people with both type 1 and type 2 diabetes stay active and flexible and maintain healthy attitudes and lifestyles. Designed to mimic the action of the pancreas, insulin pumps are small, pager-sized devices that infuse insulin under the skin based on programmed rates. Not only does this eliminate the need for injections, it also allows for small amounts of insulin to to be released throughout the day, and large amounts to be administered at meals based on what's being eaten. When paired with a continuous glucose monitor, which provides a continuous readout of glucose levels, users can enjoy accurate, tight glucose control that provides much greater flexibility and freedom than the old check-and-inject method. Dr. Francine Kaufman's Insulin Pumps and Continuous Glucose Monitoring explains the advances in glucose management, and thoroughly discusses the technology, as well as the physical and psychological aspects of diabetes care. It provides a comprehensive medical approach toward diabetes management and pump therapy with an appreciation of the real-life challenges and frustrations faced every day by people with diabetes.

Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to predictive modeling of glucose concentration, ranging from simple autoregressive models of the CGM time series to multivariate nonlinear regression techniques of machine learning. Developments in the field have been analyzed with respect to: (i) feature set (univariate or multivariate), (ii) regression technique (linear or non-linear), (iii) learning mechanism (batch or sequential), (iv) development and testing procedure and (v) scaling properties. In addition, simulation models of meal-derived glucose absorption and insulin dynamics and kinetics are covered, as an integral part of glucose predictive models. This book will help engineers and clinicians to: select a regression technique which can capture both linear and non-linear dynamics in glucose metabolism in diabetes, and which exhibits good generalization performance under stationary and non-stationary conditions; ensure the scalability of the optimization algorithm (learning mechanism) with respect to the size of the dataset, provided that multiple days of patient monitoring are needed to obtain a reliable predictive model; select a features set which efficiently represents both spatial and temporal dependencies between the input variables and the glucose concentration; select simulation models of subcutaneous insulin absorption and meal absorption; identify an appropriate validation procedure, and identify realistic performance measures. Describes fundamentals of modeling techniques as applied to glucose control Covers model selection process and model validation Offers computer code on a companion website to show implementation of models and algorithms Features the latest developments in the field of diabetes predictive modeling

This book unravels the role of Point-of-Care (POC) glucose monitoring as an essential part of diabetes management. It provides the reader with an in-depth knowledge and understanding of diabetes management, including: the need for POC glucose monitoring the glucose detection technologies (invasive, noninvasive and continuous) being used in the POC devices the analytical performance, characteristics, pros and cons of the POC devices developed to date the importance and role of glycated hemoglobin (HbA1c) monitoring for diabetes management the various POC devices and analyzers for the determination of HbA1c. This is the first book to provide complete up-to-date information on POC glucose detection technologies and devices for diabetic monitoring and management. It will be an important reference for healthcare professionals, biomedical engineers, researchers, economists and policy makers. This book also serves as an asset and teaching aid for professionals and researchers in diabetic monitoring and management.

Diabetes Digital Health brings together the multifaceted information surrounding the science of digital health from an academic, regulatory, industrial, investment and cybersecurity perspective. Clinicians and researchers who are developing and evaluating mobile apps for diabetes patients will find this essential reading, as will industry people whose companies are developing mobile apps and sensors. Provides valuable information for clinicians, researchers and industry about the design and evaluation of patient-facing diabetes adherence technologies Highlights cutting-edge topics that are presented and discussed at the Digital Diabetes Congress