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Associations between continuous glucose monitoring-derived metrics and arterial stiffness in Japanese patients with type 2 diabetes.
- Source :
-
Cardiovascular diabetology [Cardiovasc Diabetol] 2021 Jan 07; Vol. 20 (1), pp. 15. Date of Electronic Publication: 2021 Jan 07. - Publication Year :
- 2021
-
Abstract
- Background: Previous studies have suggested that high mean glucose levels and glycemic abnormalities such as glucose fluctuation and hypoglycemia accelerate the progression of atherosclerosis in patients with type 2 diabetes. Although continuous glucose monitoring (CGM) that could evaluate such glycemic abnormalities has been rapidly adopted, the associations between CGM-derived metrics and arterial stiffness are not entirely clear.<br />Methods: This exploratory cross-sectional study used baseline data from an ongoing prospective, multicenter, observational study with 5 years of follow-up. Study participants included 445 outpatients with type 2 diabetes and no history of apparent cardiovascular disease who underwent CGM and brachial-ankle pulse wave velocity (baPWV) measurement at baseline. Associations between CGM-derived metrics and baPWV were analyzed using multivariate regression models.<br />Results: In a linear regression model, all CGM-derived metrics were significantly associated with baPWV, but HbA1c was not. Some CGM-derived metrics related to intra-day glucose variability, hyperglycemia, and hypoglycemia remained significantly associated with baPWV after adjusting for possible atherosclerotic risk factors, including HbA1c. Based on baPWV ≥ 1800 cm/s as indicative of high arterial stiffness, multivariate logistic regression found that some CGM-derived metrics related to intra-day glucose variability and hyperglycemia are significantly associated with high arterial stiffness even after adjusting for possible atherosclerotic risk factors, including HbA1c.<br />Conclusions: Multiple CGM-derived metrics are significantly associated with baPWV and high arterial stiffness in patients with type 2 diabetes who have no history of apparent cardiovascular disease. These metrics might be useful for identifying patients at high risk of developing cardiovascular disease.
- Subjects :
- Aged
Biomarkers blood
Cardiovascular Diseases epidemiology
Cardiovascular Diseases physiopathology
Cross-Sectional Studies
Diabetes Mellitus, Type 2 blood
Diabetes Mellitus, Type 2 epidemiology
Female
Humans
Japan epidemiology
Male
Middle Aged
Predictive Value of Tests
Prognosis
Prospective Studies
Risk Assessment
Risk Factors
Blood Glucose metabolism
Blood Glucose Self-Monitoring
Cardiovascular Diseases diagnosis
Diabetes Mellitus, Type 2 diagnosis
Glycated Hemoglobin metabolism
Monitoring, Ambulatory
Pulse Wave Analysis
Vascular Stiffness
Subjects
Details
- Language :
- English
- ISSN :
- 1475-2840
- Volume :
- 20
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Cardiovascular diabetology
- Publication Type :
- Academic Journal
- Accession number :
- 33413339
- Full Text :
- https://doi.org/10.1186/s12933-020-01194-2