Respective contributions of glycemic variability and mean daily glucose as predictors of hypoglycemia in type 1 diabetes: are they equivalent?

L Monnier, A Wojtusciszyn, N Molinari, C Colette… - Diabetes …, 2020 - Am Diabetes Assoc
OBJECTIVE To evaluate the respective contributions of short-term glycemic variability and
mean daily glucose (MDG) concentration to the risk of hypoglycemia in type 1 diabetes …

Key indices of glycaemic variability for application in diabetes clinical practice

L Monnier, F Bonnet, C Colette, E Renard… - Diabetes & …, 2023 - Elsevier
Near normal glycaemic control in diabetes consists to target daily glucose fluctuations and
quarterly HbA1c oscillations in addition to overall glucose exposure. Consequently, the …

[HTML][HTML] Glycemic variability: Importance, relationship with physical activity, and the influence of exercise

JR Sparks, EE Kishman, MA Sarzynski… - Sports Medicine and …, 2021 - Elsevier
Glycemic variability is a more sensitive assessment of glycemic health as opposed to
traditional clinical measurements. It considers all blood glucose concentrations over a given …

Greater daily glucose variability and lower time in range assessed with continuous glucose monitoring are associated with greater aortic stiffness: The Maastricht …

YD Foreman, WPTM van Doorn, NC Schaper… - Diabetologia, 2021 - Springer
Aims CVD is the main cause of morbidity and mortality in individuals with diabetes. It is
currently unclear whether daily glucose variability contributes to CVD. Therefore, we …

Explainable machine learning for real-time hypoglycemia and hyperglycemia prediction and personalized control recommendations

C Duckworth, MJ Guy, A Kumaran… - Journal of Diabetes …, 2024 - journals.sagepub.com
Background: The occurrences of acute complications arising from hypoglycemia and
hyperglycemia peak as young adults with type 1 diabetes (T1D) take control of their own …

Retrospective study of glycemic variability, BMI, and blood pressure in diabetes patients in the Digital Twin Precision Treatment Program

P Shamanna, M Dharmalingam, R Sahay… - Scientific Reports, 2021 - nature.com
The objective of this retrospective observational cohort study was to measure glycemic
variability and reductions in body mass index (BMI), blood pressure (BP), and use of …

[HTML][HTML] Cardiovascular autonomic neuropathy is associated with increased glycemic variability driven by hyperglycemia rather than hypoglycemia in patients with …

H Gad, E Elgassim, I Mohammed, AY Alhaddad… - Diabetes Research and …, 2023 - Elsevier
Aim Cardiac autonomic neuropathy (CAN) has been suggested to be associated with
hypoglycemia and impaired hypoglycemia unawareness. We have assessed the …

[HTML][HTML] Kernel machine learning methods to handle missing responses with complex predictors. Application in modelling five-year glucose changes using …

M Matabuena, P Félix, C García-Meixide… - Computer Methods and …, 2022 - Elsevier
Background and objectives Missing data is a ubiquitous problem in longitudinal studies due
to the number of patients lost to follow-up. Kernel methods have enriched the machine …

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 …

Glucose variability in subjects with normal glucose tolerance: relations with body composition, insulin secretion and sensitivity

VV Klimontov, JF Semenova - … & Metabolic Syndrome: Clinical Research & …, 2022 - Elsevier
Background and aims To estimate the determinants of glucose variability (GV) in young and
middle-aged non-obese subjects with normal glucose tolerance (NGT) we assessed …