Continuous Glucose Monitoring

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.

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.

"The purpose of this book is to give you practical tips, including the knowledge and the skills to maximize insulin pump therapy and continuous glucose monitoring, if that is what you and your health care provider decide is best for you or your child. The goal is to enable you to make your journey through life with diabetes as successful and as free from short and long term complications, and with as minimal burden, as possible"--

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

An essential reference for any laboratory working in the analytical fluorescence glucose sensing field. The increasing importance of these techniques is typified in one emerging area by developing non-invasive and continuous approaches for physiological glucose monitoring. This volume incorporates analytical fluorescence-based glucose sensing reviews, specialized enough to be attractive to professional researchers, yet appealing to a wider audience of scientists in related disciplines of fluorescence.

This practical book focuses on the use of glucose sensors in children with type 1 diabetes. It is an evidence-based, simple, illustrated tool written by expert physicians in the field, experienced with patients living in Italy and in the UK. The introductory chapters offer a quick and well-documented update on technology use in the child with diabetes, while the chapter on clinical studies provides a comprehensive overview of the scientific basis and benefits on glucose sensor use. The practical use of sensors in all age groups, including toddlers, and any related psychological issues are also discussed. This volume allows health care professionals, pediatric trainees and medical students caring for children with type 1 diabetes to increase their understanding of sensor use, making this technology easier and more reliable to use.

In Vivo Glucose Sensing is a key reference for scientists and engineers working on the development of glucose sensing technologies for the management of diabetes and other medical conditions. It discusses the analytical chemistry behind the strategies currently used for measuring glucose in vivo. It focuses on analyzing samples in the real world and discusses the biological complexities that make glucose sensing difficult. Covering current implantable devices, next-generation implantable sensing methods, and non-invasive methods for measuring glucose, this book concludes with an overview of possible applications other than diabetes.

Psychosocial Care for People with Diabetes describes the major psychosocial issues which impact living with and self-management of diabetes and its related diseases, and provides treatment recommendations based on proven interventions and expert opinion. The book is comprehensive and provides the practitioner with guidelines to access and prescribe treatment for psychosocial problems commonly associated with living with diabetes.

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

Insulin pump use in Australia explores the number, characteristics and experiences of insulin pump users, using information from the National Diabetes Services Scheme and the first national survey of insulin pump users, conducted by the Australian Institute of Health and Welfare. In 2011, the proportion of Australians with Type 1 diabetes using an insulin pump was approximately 10%, representing an increase over previous years. Pump use was more common among females and people under 25 years, and for most pump users the benefits of pump use outweighed the problems.