Sex-Specific, Multi-Modal Assessment of Cardiac Function in Type 2 Diabetes Using the UK Biobank

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.

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Publication Details

Journal
Computing in cardiology
Published
2024-12-01
DOI
https://doi.org/10.22489/cinc.2024.406
Primary Topic
Heart Failure Treatment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Sex-Specific, Multi-Modal Assessment of Cardiac Function in Type 2 Diabetes Using the UK Biobank

Vicente Grau, Ambre Bertrand, Andrew Lewis, Blanca Rodríguez
Computing in cardiology
Heart Failure Treatment and Management
article

Sex-Specific, Multi-Modal Assessment of Cardiac Function in Type 2 Diabetes Using the UK Biobank

Vicente Grau, Ambre Bertrand, Andrew Lewis, Blanca Rodríguez
article en

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.

Computing in cardiologyVol. 51
Wellcome Trust, National Institute for Health and Care Research, British Heart Foundation, Novo Nordisk, Engineering and Physical Sciences Research Council, NIHR Oxford Biomedical Research Centre
Gender equality
Openalex Percentile: Top 58%
Heart Failure Treatment and Management
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