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 …
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
Near normal glycaemic control in diabetes consists to target daily glucose fluctuations and
quarterly HbA1c oscillations in addition to overall glucose exposure. Consequently, the …
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 …
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 …
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) …
disease (CVD) in patients with diabetes remains elusive. Glycated hemoglobin (HbA1c) …
Association of hemoglobin A1c time in range with risk for diabetes complications
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 …
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 …
(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 …
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 …
cause mortality and diabetes-related macrovascular complications in patients with diabetes …
Identification of robust deep neural network models of longitudinal clinical measurements
Deep learning (DL) from electronic health records holds promise for disease prediction, but
systematic methods for learning from simulated longitudinal clinical measurements have yet …
systematic methods for learning from simulated longitudinal clinical measurements have yet …