Glycemic measures reflective of continuous glucose dynamics may provide additional insights into cardiometabolic risk beyond traditional measures.
Abstract
Objective
Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) may not fully capture the heterogeneity underlying dysglycemia or its associations with cardiometabolic risk factors (CMRFs). We cross-sectionally investigated whether continuous glucose monitoring (CGM) measures and glycemic profiles could reveal 10-year cardiovascular disease (CVD) risk and individual CMRFs among individuals without diabetes.
RESEARCH
Design
AND
Methods
We included 1,356 participants without prevalent diabetes or CVD from the Framingham Heart Study, who wore a blinded Dexcom G6 Pro CGM for up to 10 days. CGM glycemic profiles were characterized using 1) binary classification of glycemic burden and variability and 2) unsupervised clustering of CGM measures. We performed multivariable-adjusted linear and logistic regression models to examine associations of CGM measures and profiles with 10-year CVD risk estimates (PREVENT equations) and individual CMRFs.
Results
Participants' mean was age 59.3 years; 55.8% were women, and 92.6% were non-Hispanic White. CGM measures were positively associated with 10-year CVD risk estimates and CMRFs. For example, 1 SD higher percentage of time spent at glucose levels >140 mg/dL (15.4%) was associated with 2% higher 10-year CVD risk estimates and 21-26% higher odds of hypertension and dyslipidemia, even after adjusting for FPG. Glycemic profiles representing higher CGM dysglycemia revealed discordance with traditionally defined glycemic status (FPG and HbA1c). Although 48.1-84.2% of individuals with traditionally defined prediabetes were included in CGM profiles representing higher dysglycemia, such profiles were associated with 6-7% higher 10-year CVD risk estimates, in addition to worse CMRFs.
Conclusions
Glycemic measures reflective of continuous glucose dynamics may provide additional insights into cardiometabolic risk beyond traditional measures.
Objective To examine and contrast the associations of glycated hemoglobin (HbA1c) and fasting plasma glucose (FPG) with the risk of cardiometabolic multiple long-term conditions (cMLTC) and evaluate their incremental predictive utility. Patients and Methods The study analyzed 2233 adults (mean age 63; 1009 (45.2%) men)...
S. Seidu, S. Kunutsor, K. Khunti· Mayo Clinic Proceedings: Inn...· 0 citations
Cardiovascular disease (CVD) remains a major complication contributing to morbidity and mortality among individuals with diabetes. Different glycemic biomarkers reflect distinct aspects of glucose metabolism, but their associations with prevalent CVD across different diabetic populations remain incompletely underst...
Li-Hong Zhang, Meng-Zhen Liu, Yu Zhang et al.· Frontiers in Endocrinology· 0 citations
Background Early risk stratification may help prevent cardiometabolic multimorbidity (CMM) among adults at cardiovascular–kidney–metabolic (CKM) stages 0–3. We compared the estimated glucose disposal rate (eGDR), triglyceride–glucose (TyG) index, and atherogenic index of plasma (AIP) for incident CMM, disease transitio...
Zun-Wei Wang, Yan-Yan Liu, Yi-Tong Ling et al.· Frontiers in Endocrinology· 0 citations
Although continuous glucose monitoring (CGM) provides high-dimensional data, the usefulness of multimodal and diurnal glycemic profiles for disease characterization and risk stratification remains unknown. Here, in the iCanNet cohort of 90,757 participants, we examined the associations of 48 CGM-derived metrics wit...
Jia-Li Lu, Yu-Dan Ding, Bin Zhao et al.· npj Digital Medicine· 0 citations
OBJECTIVE
Determine associations between summaries of longitudinal metabolic risk factors and microvascular complications.
METHODS
We performed a secondary analysis of participants with and without diabetes enrolled within the Atherosclerosis Risk in Communities Study that completed metabolic risk factors assessments...
Cody H. Makinson, Jihyun Park, E. Feldman et al.· Diabetes, obesity and metabo...· 0 citations