Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a major risk factor for heart failure with preserved ejection fraction and cardiac arrhythmias. Precursors of these complications, such as diabetic cardiomyopathy, remain incompletely understood and underdiagnosed. Detection of early signs of cardiac deterioration in T2DM patients is critical for prevention. Our goal is to quantify T2DM-driven abnormalities in ECG and cardiac imaging biomarkers leading to cardiovascular disease. METHODS: We quantified ECG and cardiac magnetic resonance imaging biomarkers in two matched cohorts of 1781 UK Biobank participants, with and without T2DM, and no diagnosed cardiovascular disease at the time of assessment. We performed a pair-matched cross-sectional study to compare cardiac biomarkers in both cohorts, and examined the association between T2DM and these biomarkers. We built multivariate multiple linear regression models sequentially adjusted for socio-demographic, lifestyle, and clinical covariates. RESULTS: Participants with T2DM had a higher resting heart rate (66 vs. 61 beats per minute, p 

Original publication

DOI

10.1186/s12933-024-02465-y

Type

Journal article

Journal

Cardiovasc Diabetol

Publication Date

19/10/2024

Volume

23

Keywords

Cardiovascular diseases, Cross-sectional studies, Diabetes mellitus (type 2), Electrocardiography, Magnetic resonance imaging, UK Biobank, Humans, Diabetes Mellitus, Type 2, Male, Female, Middle Aged, Cross-Sectional Studies, Aged, Diabetic Cardiomyopathies, Ventricular Function, Left, Electrocardiography, Predictive Value of Tests, United Kingdom, Heart Rate, Asymptomatic Diseases, Early Diagnosis, Magnetic Resonance Imaging, Biomarkers, Stroke Volume, Adult, Action Potentials, Risk Assessment, Risk Factors, Disease Progression, Case-Control Studies, Time Factors, Prognosis