Developing Cardiac Digital Twins at Scale: Insights from Personalised Myocardial Conduction Velocity.
Shuang QianDevran UgurluElliot FairweatherMarina StrocchiLaura Dal TosoYu DengNagaiah ChamakuriEdward J VigmondReza RazaviAlistair YoungPablo LamataMartin J BishopSteven A NiedererPublished in: medRxiv : the preprint server for health sciences (2024)
Large-cohort studies using cardiovascular imaging and diagnostic datasets have assessed cardiac anatomy, function, and outcomes, but typically do not reveal underlying biological mechanisms. Cardiac digital twins (CDTs) provide personalized physics- and physiology-constrained in-silico representations, enabling inference of multi-scale properties tied to these mechanisms. We constructed 3464 anatomically-accurate CDTs using cardiac magnetic resonance images from UK biobank and personalised their myocardial conduction velocities (CVs) from electrocardiograms (ECG), through an automated framework. We found well-known sex-specific differences in QRS duration were fully explained by myocardial anatomy, as CV remained consistent across sexes. Conversely, significant associations of CV with ageing and increased BMI suggest myocardial tissue remodelling. Novel associations were observed with left ventricular ejection fraction and mental-health phenotypes, through a phenome-wide association study, and CV was also linked with adverse clinical outcomes. Our study highlights the utility of population-based CDTs in assessing intersubject variability and uncovering strong links with mental health.
Keyphrases
- left ventricular
- mental health
- aortic stenosis
- cardiac resynchronization therapy
- ejection fraction
- magnetic resonance
- hypertrophic cardiomyopathy
- heart failure
- acute myocardial infarction
- mitral valve
- left atrial
- high resolution
- single cell
- mental illness
- emergency department
- body mass index
- deep learning
- dna methylation
- heart rate
- type diabetes
- wastewater treatment
- optical coherence tomography
- convolutional neural network
- aortic valve
- physical activity
- adverse drug
- molecular dynamics simulations
- weight gain