scholarly journals Nocturnal Hypoglycemia and Physical Activity in Children With Diabetes: New Insights by Continuous Glucose Monitoring and Accelerometry

Diabetes Care ◽  
2016 ◽  
Vol 39 (7) ◽  
pp. e95-e96 ◽  
Author(s):  
Sara Bachmann ◽  
Melanie Hess ◽  
Eva Martin-Diener ◽  
Kris Denhaerynck ◽  
Urs Zumsteg
Keyword(s):  
Physical Activity ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Nocturnal Hypoglycemia

scholarly journals Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1705 ◽  
Author(s):  
Arthur Bertachi ◽  
Clara Viñals ◽  
Lyvia Biagi ◽  
Ivan Contreras ◽  
Josep Vehí ◽  
...  
Keyword(s):  
Physical Activity ◽  
Machine Learning ◽  
Type 1 Diabetes ◽  
Continuous Glucose Monitoring ◽  
Prediction Models ◽  
Glucose Monitoring ◽  
Supervised Machine Learning ◽  
Nocturnal Hypoglycemia ◽  
Activity Tracker

(1) Background: nocturnal hypoglycemia (NH) is one of the most challenging side effects of multiple doses of insulin (MDI) therapy in type 1 diabetes (T1D). This work aimed to investigate the feasibility of a machine-learning-based prediction model to anticipate NH in T1D patients on MDI. (2) Methods: ten T1D adults were studied during 12 weeks. Information regarding T1D management, continuous glucose monitoring (CGM), and from a physical activity tracker were obtained under free-living conditions at home. Supervised machine-learning algorithms were applied to the data, and prediction models were created to forecast the occurrence of NH. Individualized prediction models were generated using multilayer perceptron (MLP) and a support vector machine (SVM). (3) Results: population outcomes indicated that more than 70% of the NH may be avoided with the proposed methodology. The predictions performed by the SVM achieved the best population outcomes, with a sensitivity and specificity of 78.75% and 82.15%, respectively. (4) Conclusions: our study supports the feasibility of using ML techniques to address the prediction of nocturnal hypoglycemia in the daily life of patients with T1D on MDI, using CGM and a physical activity tracker.

Prevalence of Nocturnal Hypoglycemia in Pediatric Type 1 Diabetes: A Pilot Study Using Continuous Glucose Monitoring

2011 ◽  
Vol 159 (2) ◽  
pp. 297-302.e1 ◽  
Author(s):  
Alexandra Ahmet ◽  
Simon Dagenais ◽  
Nick J. Barrowman ◽  
Catherine J. Collins ◽  
Margaret L. Lawson
Keyword(s):  
Type 1 Diabetes ◽  
Pilot Study ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Nocturnal Hypoglycemia ◽  
Pediatric Type 1 Diabetes

scholarly journals Using Continuous Glucose Monitoring to Motivate Physical Activity in Overweight and Obese Adults: A Pilot Study

2020 ◽  
Vol 29 (4) ◽  
pp. 761-768 ◽  
Author(s):  
Yue Liao ◽  
Karen M. Basen-Engquist ◽  
Diana L. Urbauer ◽  
Therese B. Bevers ◽  
Ernest Hawk ◽  
...  
Keyword(s):  
Physical Activity ◽  
Pilot Study ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Obese Adults

scholarly journals Potentialities of modern glucose monitoring devices during pregnancy

2020 ◽  
Vol 4 (6) ◽  
pp. 352-357
Author(s):  
F.O. Ushanova ◽  
◽  
T.Yu. Demidova ◽  
Keyword(s):  
Gestational Diabetes ◽  
Pregnant Women ◽  
Carbohydrate Metabolism ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Nocturnal Hypoglycemia ◽  
Glucose Levels ◽  
Monitoring Technologies ◽  
Diabetes Gestational ◽  
Monitoring Devices

Currently, the management of pregnant women with carbohydrate metabolism disorders is challenging due to the high risk of unfavorable events both for the mother and the child even in insignificant deviations from the target value. In addition to the conventional methods of self-monitoring, continuous glucose monitoring (CGM) is an important tool to control diabetes. CGM in pregnant women provides the detailed information on the type and trends of the changes in blood glucose levels and the fluctuations of glucose levels and also identifies the episodes of latent nocturnal hypoglycemia and postprandial hyperglycemia. The analysis of CGM data allows for correcting insulin therapy, taking a decision on its initiation, and modifying diet and exercise plan. Multiple studies demonstrate the efficacy of CGM in terms of compensating manifest diabetes. As to gestational diabetes, the eligibility of modern glucose monitoring technologies for the prevention of various complications is still controversial. Further studies on the potential use of these devices in gestational diabetes could provide a basis for increasing their application in routine clinical practice. This will improve the management of pregnant women with carbohydrate metabolism disorders.KEYWORDS: diabetes, gestational diabetes, continuous glucose monitoring, flash monitoring, pregnancy, macrosomia, self-monitoring.FOR CITATION: Ushanova F.O., Demidova T.Yu. Potentialities of modern glucose monitoring devices during pregnancy. Russian Medical Inquiry. 2020;4(6):352–357. DOI: 10.32364/2587-6821-2020-4-6-352-357.

Real-World Patterns of Daytime and Nocturnal Hypoglycemia during Flash Continuous Glucose Monitoring

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 70-LB
Author(s):  
HEATHER PRYOR ◽  
ERWIN S. BUDIMAN ◽  
YONGJIN XU
Keyword(s):  
Continuous Glucose Monitoring ◽  
Real World ◽  
Glucose Monitoring ◽  
Nocturnal Hypoglycemia

Nocturnal hypoglycemia detected with the continuous glucose monitoring system in pediatric patients with type 1 diabetes

2002 ◽  
Vol 141 (5) ◽  
pp. 625-630 ◽  
Author(s):  
Francine Ratner Kaufman ◽  
Juliana Austin ◽  
Aaron Neinstein ◽  
Lily Jeng ◽  
Mary Halvorson ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Monitoring System ◽  
Continuous Glucose Monitoring ◽  
Pediatric Patients ◽  
Glucose Monitoring ◽  
Continuous Glucose Monitoring System ◽  
Nocturnal Hypoglycemia
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