Metabolic phenotypes and cardiac function: Insights from UK Biobank cardiac MRI and outcomes analysis

Motivation: Cardiac dysfunction patterns preceding cardiovascular events in different metabolic phenotypes remain poorly understood, limiting effective risk stratification in the general population despite rising obesity and metabolic disease rates. Goal(s): To characterize cardiac adaptation patterns across metabolic phenotypes using UK Biobank cardiac MRI data and determine their association with long-term cardiovascular outcomes. Approach: Analysis of cardiac structure, function, and clinical outcomes in 28,897 participants stratified by metabolic health and obesity status. Results: Metabolic phenotypes showed distinct cardiac adaptations despite preserved ejection fraction, with both obesity and metabolic health status independently contributing to cardiovascular event risk. Impact: This large-scale analysis reveals unique cardiac phenotypes across metabolic categories, providing new insights for early cardiovascular risk assessment in metabolically diverse populations.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1033
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Metabolic phenotypes and cardiac function: Insights from UK Biobank cardiac MRI and outcomes analysis

Susanne Rospleszcz, Janis M. Nolde, Fabian Bamberg, Jana Taron et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Cardiac Imaging and Diagnostics
article

Metabolic phenotypes and cardiac function: Insights from UK Biobank cardiac MRI and outcomes analysis

Susanne Rospleszcz, Janis M. Nolde, Fabian Bamberg, Jana Taron, Matthias Jung, Marco Reisert, Balázs Bogner, Christopher L. Schlett, Andreas Anselm Kammerlander, Juliane Maushagen
article en

Abstract

Motivation: Cardiac dysfunction patterns preceding cardiovascular events in different metabolic phenotypes remain poorly understood, limiting effective risk stratification in the general population despite rising obesity and metabolic disease rates. Goal(s): To characterize cardiac adaptation patterns across metabolic phenotypes using UK Biobank cardiac MRI data and determine their association with long-term cardiovascular outcomes. Approach: Analysis of cardiac structure, function, and clinical outcomes in 28,897 participants stratified by metabolic health and obesity status. Results: Metabolic phenotypes showed distinct cardiac adaptations despite preserved ejection fraction, with both obesity and metabolic health status independently contributing to cardiovascular event risk. Impact: This large-scale analysis reveals unique cardiac phenotypes across metabolic categories, providing new insights for early cardiovascular risk assessment in metabolically diverse populations.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Cardiac Imaging and Diagnostics
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