Correlation between glycemic variability and diabetic complications: a narrative review

L Huang, Y Pan, K Zhou, H Liu… - International Journal of …, 2023 - Taylor & Francis
Diabetes mellitus is a metabolic disorder with a complex etiology in which glycemic
dynamics are disturbed and the body is unable to maintain the process of glucose …

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 …

HbA1c variability predicts cardiovascular complications in type 2 diabetes regardless of being at glycemic target

A Ceriello, G Lucisano, F Prattichizzo… - Cardiovascular …, 2022 - Springer
Background HbA1c variability has emerged as risk factor for cardiovascular diseases in
diabetes. However, the impact of HbA1c variability on cardiovascular diseases in subjects …

A study of factors influencing long-term glycemic variability in patients with type 2 diabetes: a structural equation modeling approach

Y Gan, M Chen, L Kong, J Wu, Y Pu, X Wang… - Frontiers in …, 2023 - frontiersin.org
Aim The present study aims to utilize structural equation modeling (SEM) to investigate the
factors impacting long-term glycemic variability among patients afflicted with type 2 diabetes …

Higher glucose fluctuation is associated with a higher risk of cardiovascular disease: Insights from pooled results among patients with diabetes

F Li, L Zhang, Y Shen, HH Liu, ZY Zhang… - Journal of …, 2023 - Wiley Online Library
Background The relationship between glucose fluctuation and the risk of cardiovascular
disease (CVD) in patients with diabetes remains elusive. Glycated hemoglobin (HbA1c) …

Association of hemoglobin A1c time in range with risk for diabetes complications

DC Mohr, L Zhang, JC Prentice, RE Nelson… - BMJ Open Diabetes …, 2022 - drc.bmj.com
Introduction We assessed the association between hemoglobin A1c time in range (A1c TIR),
based on unique patient-level A1c target ranges, with risks of developing microvascular and …

Higher long-term visit-to-visit glycemic variability predicts new-onset atrial fibrillation in patients with diabetes mellitus

JC Hsu, YY Yang, SL Chuang, CC Yu… - Cardiovascular …, 2021 - Springer
Background Atrial fibrillation (AF) is prevalent in patients with type 2 diabetes mellitus
(T2DM). Glycemic variability (GV) is associated with risk of micro-and macrovascular …

Predictive ability of visit‐to‐visit variability of HbA1c measurements for the development of diabetic kidney disease: a retrospective longitudinal observational study

Y Yan, N Kondo, K Oniki, H Watanabe… - Journal of Diabetes …, 2022 - Wiley Online Library
Aims. This study is aimed at clarifying the relationship between visit‐to‐visit variability of
glycated hemoglobin (HbA1c) and the risk of diabetic kidney disease (DKD) and to …

Associations between mean HbA1c, HbA1c variability, and both mortality and macrovascular complications in patients with diabetes mellitus: a registry-based cohort …

JK Tan, GH Lim, NN Mohamed Salim, SY Chia… - Clinical …, 2023 - Taylor & Francis
Background We investigate the association between mean HbA1c, HbA1c variability, and all-
cause mortality and diabetes-related macrovascular complications in patients with diabetes …

Identification of robust deep neural network models of longitudinal clinical measurements

H Javidi, A Mariam, G Khademi, EC Zabor, R Zhao… - NPJ Digital …, 2022 - nature.com
Deep learning (DL) from electronic health records holds promise for disease prediction, but
systematic methods for learning from simulated longitudinal clinical measurements have yet …