scholarly journals Reduction of Blood Glucose Variability in Type 1 Diabetic Patients Treated By Pancreatic Islet Transplantation: Interest of continuous glucose monitoring

Diabetes Care ◽  
2002 ◽  
Vol 25 (12) ◽  
pp. 2256-2262 ◽  
Author(s):  
L. Kessler ◽  
R. Passemard ◽  
J. Oberholzer ◽  
P. Y. Benhamou ◽  
P. Bucher ◽  
...  
2020 ◽  
Author(s):  
F. José Lozano ◽  
J. Ignacio Hidalgo ◽  
Marta Botella ◽  
Sergio Contador ◽  
Juan Lanchares ◽  
...  

AbstractThe demand for Continuous Glucose Monitoring systems is increasing among type 1 diabetic patients. Some companies are trying to improve the monitoring and the usability of these systems. One example is Abbott FreeStyle Libre, which provides a new concept of glucose monitoring called Flash Glucose Monitoring which is more affordable and does not need calibration. The increasing demand for these devices means an opportunity for data and computer scientists, who can contribute to the development of decision-making support systems based on the data collected from the devices. Type 1 diabetic patients that use FreeStyle Libre may enter the number of insulin and carbohydrates units that they are going to take before a meal. Using both the entered data and the blood glucose values collected by the device automatically, the application presented in this paper generates a report of the patient’s glucose patterns. In addition, it provides a web application that allows the user to upload the data obtained from the device and download the report on his computer or smartphone. The application uses decision trees to detect the patterns and entails a starting point in the creation of ensemble models with more predictive power, also based on decision trees. Furthermore, the methodology makes a segmentation of the dataset in blocks, determined by the different meals done throughout the day, adding more information to the set of variables used to train the model. As a result, the application can discover repetitive patterns in the daily life of the patient, which can help to take early preventive measures for risk situations in a period close to the next meal.


2007 ◽  
Vol 27 (3) ◽  
pp. 166 ◽  
Author(s):  
IzetSalih Hozo ◽  
Maja Radman ◽  
Dubravka Jurisic ◽  
Dragan Ljutic ◽  
Romana Jerkovic ◽  
...  

2020 ◽  
Author(s):  
Akemi 09034837312 ◽  
Yosuke Okada ◽  
Keiichi Torimoto ◽  
Yoshiya Tanaka

Abstract Background: Treatment indexes using continuous glucose monitoring (CGM) have become standardized internationally, and the use of ambulatory glucose profile (AGP) is currently recommended. However, the relationship between AGP indexes and standardized CGM metrics has not been investigated. Using flash glucose monitoring (FGM), this retrospective study served to evaluate the association of the inter-quartile range (IQR) of AGP with standardized CGM metrics.Methods: The study subjects were 30 patients with type 2 diabetes mellitus (T2DM) and 23 non-diabetic patients (control group). We evaluated average IQR (AIQR) and standardized CGM metrics. The primary endpoint was the relationship between AIQR and Time in range (TIR) in a 24-hour period.Results: In the T2DM group, the AIQR was notably high and correlated negatively with TIR, and positively with Time above range, average glucose level, SD, CV, and MODD. For the T2DM group, the AIQR was notably lower in patients who achieved TIR>70%, compared to those who did not. The AIQR cutoff value, as determined by ROC analysis, was 28.3 mg/dL for those who achieved TIR>70%. No association was detected between the presence of hypoglycemia and AIQR.Conclusions: Our study is the first to provide the AIQR cutoff value for achieving the TIR target value. The range of blood glucose variability in AGP was associated with indexes of intra- and interday variations and hyperglycemia. Our results provide new perspectives in the yet-to-be established methods for evaluation of AGP in practical clinical settings.


2007 ◽  
Vol 27 (3) ◽  
pp. 166-170 ◽  
Author(s):  
Maja Radman ◽  
Dubravka Jurišić ◽  
Dragan Ljutić ◽  
Romana Jerković ◽  
Nataša Kovačić ◽  
...  

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