Sex-Specific, Multi-Modal Assessment of Cardiac Function in Type 2 Diabetes Using the UK Biobank
Year: 2024
Type: conference-paper
Abstract: Type 2 diabetes is a major risk factor for heart failure.Large-scale prospective studies and biobanks are an ideal resource to characterise high-risk populations and identify early markers of disease.Our goal is to quantify cardiac function in men and women with type 2 diabetes and no prior cardiovascular disease.We defined a cohort of type 2 diabetes in the UK Biobank using multiple ascertainment pathways including ICD codes, self-report, and circulating HbA1c.We then extracted ECG and cardiac magnetic resonance image-derived biomarkers related to diastolic function and cardiac autonomic neuropathy, and assessed these relative to reference ranges and current clinical guidelines.We identified 1781 subjects with type 2 diabetes; the cohort was mostly male, overweight, and elderly.We found that males and females with type 2 diabetes exhibit a QTc interval in the upper boundary of normal clinical ranges, with 272 subjects (15%) meeting age-and sex-specific clinical criteria for QTc prolongation, while 668 subjects (38%) had a ventricular rate above 70 bpm.These markers may indicate a higher risk of adverse cardiovascular complications.Left ventricular mass, end-diastolic volume, ejection fraction and wall thickness were found to be within normal ranges, suggesting an absence of perceptible structural remodelling.
Source: Computing in cardiology
Institution: University of Oxford
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Awards: G2321842562, EPSRC Centre for Doctoral Training in Health Data Science, Research Excellence (round 3), Human in silico clinical trials in post myocardial infarction: mechanistic investigations into phenotypic electromechanical variability and response to treatment, CompBioMedX: Computational Biomedicine at the Exascale
OpenAlex ID: W4405435108