Emergent technologies applied to diabetes: What do we need to integrate continuous glucose monitoring into daily practice?

Sola-Gazagnes, A.; Vigeral, C.

doi:10.1016/s1262-3636(11)70968-5

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…In view of this, there is a need for Systems capable of providing health care professionals and patients with useful information about in glucose concentration and its fluctuations throughout the day [20][21][22]. Moreover, tracking and maintaining traceability between glucose measurements, insulin doses and carbohydrate intake can provide useful information to physicians, health professionals, and patients.…”

Section: Introductionmentioning

confidence: 99%

A Diabetes Management Information System with Glucose Prediction

Lélis¹,

Goulart

2018

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Diabetes has become a serious health concern. The use and popularization of blood glucose measurement devices have led to a tremendous increase on health for diabetics. Tracking and maintaining traceability between glucose measurements, insulin doses and carbohydrate intake can provide useful information to physicians, health professionals, and patients. This paper presents an information system, called GLUMIS (GLUcose Management Information System), aimed to support diabetes management activities. It is made of two modules, one for glucose prediction and one for data visualization and a reasoner to aid users in their treatment. Through integration with glucose measurement devices, it is possible to collect historical data on the treatment. In addition, the integration with a tool called the REALI System allows GLUMIS to also process data on insulin doses and eating habits. Quantitative and qualitative data were collected through an experimental case study involving 10 participants. It was able to demonstrate that the GLUMIS system is feasible. It was able to discover rules for predicting future values of blood glucose by processing the past history of measurements. Then, it presented reports that can help diabetics choose the amount of insulin they should take and the amount of carbohydrate they should consume during the day. Rules found by using one patient’s measurements were analyzed by a specialist that found three of them to be useful for improving the patient’s treatment. One such rule was “if glucose before breakfast ∈ [ 47 , 89 ] , then glucose at afternoon break in [ 160 , 306 ]”. The results obtained through the experimental study and other verifications associated with the algorithm created had a double objective. It was possible to show that participants, through a questionnaire, viewed the visualizations as easy, or very easy, to understand. The secondary objective showed that the innovative algorithm applied in the GLUMIS system allows the decision maker to have much more precision and less loss of information than in algorithms that require the data to be discretized.

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Section: Introductionmentioning

confidence: 99%

A Diabetes Management Information System with Glucose Prediction

Lélis¹,

Goulart

2018

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“…However, several continuous glucose monitoring systems (CGMS), which are presently more than five years old, can also detect glucose at low levels [ 38 ]. There is an immense need for CGMS [ 39 , 40 , 41 , 42 , 43 , 44 , 45 ], as it provides healthcare professionals and patients with highly useful information pertaining to the trends in glucose concentration throughout the day. This enables the prevention of hypoglycemic episodes and enables the diabetic to maintain the physiological glucose concentration level, i.e.…”

Section: Introductionmentioning

confidence: 99%

Continuous Glucose Monitoring Systems: A Review

Vashist¹

2013

Diagnostics

213

121

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There have been continuous advances in the field of glucose monitoring during the last four decades, which have led to the development of highly evolved blood glucose meters, non-invasive glucose monitoring (NGM) devices and continuous glucose monitoring systems (CGMS). Glucose monitoring is an integral part of diabetes management, and the maintenance of physiological blood glucose concentration is the only way for a diabetic to avoid life-threatening diabetic complications. CGMS have led to tremendous improvements in diabetic management, as shown by the significant lowering of glycated hemoglobin (HbA1c) in adults with type I diabetes. Most of the CGMS have been minimally-invasive, although the more recent ones are based on NGM techniques. This manuscript reviews the advances in CGMS for diabetes management along with the future prospects and the challenges involved.

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New technologies in insulin delivery

Taylor

Sahota

2013

Practical Diabetes

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The electronic age is bringing advances in the treatment of diabetes, and this is important because the complications of diabetes remain despite the availability of effective therapeutic tools such as insulin. These developments focus on the need to deliver accurately timed and sized doses for predicted blood glucose levels.In this review, blood monitoring methods are discussed since, although the chemistry remains based on the enzymic oxidation of glucose, the display, storage and manipulation of data have transformed recently to engage with smartphone users. Continuous glucose monitoring sensing (CGMS) types are described along with an appreciation of the shortcomings of sensor technology. The discussion includes responses to other barriers to CGMS use for reducing the HbA1c value safely so that hypoglycaemia can be avoided. The newer pumps and the emergence of the minimalised patch pumps and patch pens are described. This includes the moves to attract more type 2 users to pump use, addresses the perceived obtrusiveness noted by younger users, and reviews the obstacles to rolling out pump use more widely in the UK. Penultimately, after reference to islet implants, the combination of the continuous sensing and conventional pump strategies to form a closed loop system is described, including a summary of the electronic algorithms and the clinical performance of systems in research settings. The review closes with an explanation of how other closed loop systems have been developed including the peritoneal Medtronic and the DiaPort and a smart gel, non‐electronic design. Copyright © 2013 John Wiley & Sons.

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Emergent technologies applied to diabetes: What do we need to integrate continuous glucose monitoring into daily practice?

Cited by 6 publications

References 29 publications

A Diabetes Management Information System with Glucose Prediction

A Diabetes Management Information System with Glucose Prediction

Continuous Glucose Monitoring Systems: A Review

New technologies in insulin delivery

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