Assessment of arterial stiffness in paediatric patients with type 1 diabetes mellitus

To investigate early indicators of cardiovascular disease (CVD) in children and adolescents with type 1 diabetes mellitus (T1DM), focusing on pulse wave velocity (PWV) and its associations with various anthropometric and glycemic parameters. A total of 124 children and adolescents with T1D (mean age...

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Bibliographic Details
Published in:Journal of diabetes and its complications 2024-08, Vol.38 (8), p.108782, Article 108782
Main Authors: Georeli, Eirini, Stamati, Athina, Dimitriadou, Meropi, Chainoglou, Athanasia, Tsinopoulou, Assimina Galli, Stabouli, Stella, Christoforidis, Athanasios
Format: Article
Language:English
Subjects:
Adolescent
Adolescents
Age
Arterial stiffness
Blood Glucose - analysis
Blood Glucose - metabolism
Blood pressure
Body mass index
Cardiovascular Diseases - diagnosis
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - etiology
Cardiovascular Diseases - physiopathology
Child
Children
Cross-Sectional Studies
Diabetes
Diabetes Mellitus, Type 1 - blood
Diabetes Mellitus, Type 1 - complications
Diabetes Mellitus, Type 1 - physiopathology
Diabetic Angiopathies - diagnosis
Diabetic Angiopathies - epidemiology
Diabetic Angiopathies - physiopathology
Female
Glucose
Humans
Longitudinal studies
Male
Mortality
Outpatient care facilities
Patients
Pediatrics
Pulse Wave Analysis
Pulse wave velocity
Regression analysis
Standard scores
Statistical analysis
Teenagers
Type 1 diabetes
Vascular Stiffness - physiology
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Summary:To investigate early indicators of cardiovascular disease (CVD) in children and adolescents with type 1 diabetes mellitus (T1DM), focusing on pulse wave velocity (PWV) and its associations with various anthropometric and glycemic parameters. A total of 124 children and adolescents with T1D (mean age 10.75 ± 3.57 years) were included in this cross-sectional study. Anthropometric data, including height, weight, body mass index (BMI), glycemic parameters, such as HbA1c and time in range (TIR) were assessed. PWV was assessed by oscillometric method using the Mobil-O-Graph PWA device. Univariate and multivariate linear regression were used to explore the association of PWV z-score with anthropometric, demographic, and glycaemic variables. Significant negative association between PWV and age and height (β = −0.336, 95 % CI -0.44 to −0.25, p 
ISSN:1056-8727
1873-460X
1873-460X
DOI:10.1016/j.jdiacomp.2024.108782