Cardiovascular Hypertrophy Assessment and Risk Evaluation
Summary
Cardiovascular hypertrophy, characterised principally by an increase in myocardial mass, reflects a spectrum of adaptive and maladaptive remodelling in response to chronic haemodynamic stress. The most common form, left ventricular hypertrophy (LVH), emerges from pressure overload (for example, hypertension or aortic stenosis) or volume overload (valvular regurgitation), and predicts adverse outcomes including arrhythmia, heart failure and sudden cardiac death. Assessment traditionally centres on non-invasive imaging, notably echocardiography and cardiovascular magnetic resonance, to quantify wall thickness, chamber dimensions and myocardial tissue characteristics. Electrocardiography remains a widespread screening tool, though its sensitivity is limited by inter-individual variation and fibrotic changes. Circulating and genetic biomarkers now offer molecular insight into the fibrotic and inflammatory milieu underpinning hypertrophic remodelling, enhancing risk stratification beyond purely structural measures. Emerging approaches harness machine-learning algorithms to integrate imaging, electrocardiographic and clinical data, yielding predictive models with improved accuracy for early detection and stratification. Collectively, these modalities provide a multi-parametric framework that enables personalised risk evaluation, guides therapeutic decision-making and monitors regression of hypertrophy under targeted medical interventions.
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Cardiovascular Hypertrophy Assessment and Risk Evaluation publication trend
The graph below shows the total number of articles in cardiovascular hypertrophy assessment and risk evaluation across all publications each year (not limited to Nature Index journals).
Technical terms
Left Ventricular Hypertrophy (LVH): Increase in mass of the left ventricular myocardium, often secondary to pressure or volume overload, associated with elevated cardiovascular risk.
Echocardiography: Ultrasound-based imaging technique used to visualise cardiac chambers, valves and wall thickness in real time.
Cardiovascular Magnetic Resonance (CMR): Advanced imaging modality employing magnetic fields to quantify myocardial mass, volumes and tissue characteristics such as fibrosis and oedema.
Biomarker: A measurable molecular indicator (for example, circulating proteins, RNAs or metabolites) that reflects physiological or pathological processes, or response to therapy.
Machine Learning: Computational methods that identify patterns in complex datasets to generate predictive models, often applied to integrate imaging, electrocardiographic and clinical variables for risk stratification.
References
- Left Ventricular Hypertrophy and Ventricular Tachyarrhythmia: The Role of Biomarkers. International Journal of Molecular Sciences (2023).
- Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning. European Heart Journal - Digital Health (2023).
- Diffuse Myocardial Fibrosis Reduces Electrocardiographic Voltage Measures of Left Ventricular Hypertrophy Independent of Left Ventricular Mass. Journal of the American Heart Association (2017).
- Left Ventricular Hypertrophy in Diabetic Cardiomyopathy: A Target for Intervention. Frontiers in Cardiovascular Medicine (2021).
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