Glucose variability: a review of clinical applications and research developments

D Rodbard - Diabetes technology & therapeutics, 2018 - liebertpub.com
Glycemic variability (GV) is a major consideration when evaluating quality of glycemic
control. GV increases progressively from prediabetes through advanced T2D and is still …

[HTML][HTML] Data-driven blood glucose pattern classification and anomalies detection: machine-learning applications in type 1 diabetes

AZ Woldaregay, E Årsand, T Botsis, D Albers… - Journal of medical …, 2019 - jmir.org
Background Diabetes mellitus is a chronic metabolic disorder that results in abnormal blood
glucose (BG) regulations. The BG level is preferably maintained close to normality through …

[HTML][HTML] Impact of breakfast skipping compared with dinner skipping on regulation of energy balance and metabolic risk

A Nas, N Mirza, F Hägele, J Kahlhöfer, J Keller… - The American journal of …, 2017 - Elsevier
Background: Meal skipping has become an increasing trend of the modern lifestyle that may
lead to obesity and type 2 diabetes. Objective: We investigated whether the timing of meal …

Hypoglycemia in type 2 diabetes-more common than you think: a continuous glucose monitoring study

RR Gehlaut, GY Dogbey, FL Schwartz… - Journal of diabetes …, 2015 - journals.sagepub.com
Background: Hypoglycemia is often the limiting factor for intensive glucose control in
diabetes management, however its actual prevalence in type 2 diabetes (T2DM) is not well …

[HTML][HTML] Diabetic complications: current challenges and opportunities

HD Nickerson, S Dutta - Journal of cardiovascular translational research, 2012 - Springer
The International Diabetes Federation estimates that 366 million people had diabetes in
2011, and that by 2030, this figure will have risen to a staggering 552 million worldwide. In …

Glycemic variability percentage: a novel method for assessing glycemic variability from continuous glucose monitor data

TA Peyser, AK Balo, BA Buckingham… - Diabetes technology …, 2018 - liebertpub.com
Background: High levels of glycemic variability are still observed in most patients with
diabetes with severe insulin deficiency. Glycemic variability may be an important risk factor …

Effects of dapagliflozin on 24-hour glycemic control in patients with type 2 diabetes: a randomized controlled trial

RR Henry, P Strange, R Zhou, J Pettus… - Diabetes technology …, 2018 - liebertpub.com
Abstract Background: Glycated hemoglobin (HbA1c) and measures of short-term glycemia
do not fully capture daily patterns in plasma glucose dynamics. This study evaluated 24-h …

Consensus report: the current role of self-monitoring of blood glucose in non-insulin-treated type 2 diabetes

DC Klonoff, L Blonde, G Cembrowski… - Journal of Diabetes …, 2011 - journals.sagepub.com
The Coalition for Clinical Research—Self-Monitoring of Blood Glucose Scientific Board
convened a meeting in San Francisco, CA, July 20–21, 2011, to discuss the current practice …

[HTML][HTML] Large-scale data analysis for glucose variability outcomes with open-source automated insulin delivery systems

A Shahid, DM Lewis - Nutrients, 2022 - mdpi.com
Open-source automated insulin delivery (AID) technologies use the latest continuous
glucose monitors (CGM), insulin pumps, and algorithms to automate insulin delivery for …

Model free iPID control for glycemia regulation of type-1 diabetes

T MohammadRidha, M Aït-Ahmed… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Objective: The objective is to design a fully automated glycemia controller of Type-1
Diabetes (T1D) in both fasting and postprandial phases on a large number of virtual …