A new analysis tool for continuous glucose monitor data

E Olawsky, Y Zhang, LE Eberly… - Journal of diabetes …, 2022 - journals.sagepub.com
Background: With the development of continuous glucose monitoring systems (CGMS),
detailed glycemic data are now available for analysis. Yet analysis of this data-rich …

[HTML][HTML] Patterns of glycemic variability during a diabetes self-management educational program

A Joshi, A Mitra, N Anjum, N Shrivastava, S Khadanga… - Medical …, 2019 - mdpi.com
Background: Variations in blood glucose levels over a given time interval is termed as
glycemic variability (GV). Higher GV is associated with higher diabetes-related …

Simple linear support vector machine classifier can distinguish impaired glucose tolerance versus type 2 diabetes using a reduced set of CGM-based glycemic …

E Longato, G Acciaroli, A Facchinetti… - Journal of diabetes …, 2020 - journals.sagepub.com
Background: Many glycemic variability (GV) indices exist in the literature. In previous works,
we demonstrated that a set of GV indices, extracted from continuous glucose monitoring …

Minding the gaps in continuous glucose monitoring: a method to repair gaps to achieve more accurate glucometrics

SJ Fonda, DG Lewis… - Journal of diabetes …, 2013 - journals.sagepub.com
Estimation of glycemic variability requires frequent measures of glucose and is greatly aided
by continuous glucose monitoring (CGM); however, under real-world conditions, missing …

On-line policy learning and adaptation for real-time personalization of an artificial pancreas

M De Paula, GG Acosta, EC Martínez - Expert Systems with Applications, 2015 - Elsevier
The dynamic complexity of the glucose–insulin metabolism in diabetic patients is the main
obstacle towards widespread use of an artificial pancreas. The significant level of subject …

[HTML][HTML] Hypoglycemia unawareness identified by continuous glucose monitoring system is frequent in outpatients with type 2 diabetes without receiving intensive …

B Huang, Q Jiang, T Wu, Q Shen, W Wang… - Diabetology & Metabolic …, 2022 - Springer
Background Patients with diabetes are prone to asymptomatic hypoglycemia (AH) due to
diminished ability to perceive the onset of hypoglycemia. However, the actual prevalence …

A consensus perceived glycemic variability metric

CR Marling, NW Struble, RC Bunescu… - Journal of diabetes …, 2013 - journals.sagepub.com
Objective: Glycemic variability (GV) is an important component of overall glycemic control for
patients with diabetes mellitus. Physicians are able to recognize excessive GV from …

Teneligliptin improves glycemic control with the reduction of postprandial insulin requirement in Japanese diabetic patients

W Tsuchimochi, H Ueno, E Yamashita… - Endocrine …, 2015 - jstage.jst.go.jp
Teneligliptin is a novel peptidomimetic-chemotype prolylthiazolidine-based inhibitor of
dipeptidyl peptidase-4 (DPP-4). The aim of this study was to evaluate the effects of …

[HTML][HTML] Hypoglycemia measured by flash glucose monitoring system predicts liver-related events in chronic liver disease patients

R Sasaki, N Taura, Y Nakao, M Fukushima… - Scientific Reports, 2023 - nature.com
Impaired glucose tolerance, glucose fluctuations, and hypoglycemia have been observed in
patients with chronic liver disease (CLD). The flash glucose monitoring (FGM) system, which …

[HTML][HTML] The role of continuous glucose monitoring in the care of children with type 1 diabetes

NS Larson, JE Pinsker - International Journal of Pediatric Endocrinology, 2013 - Springer
Continuous glucose monitoring (CGM), while a relatively new technology, has the potential
to transform care for children with type 1 diabetes. Some, but not all studies, have shown that …