AIMC Topic: Aortic Valve Stenosis

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Identification of key diagnostic and prognostic biomarkers for aortic valve stenosis with coronary artery disease through immunological profiling integrating proteomics, single-cell sequencing, and machine learning.

Biochemical and biophysical research communications Oct 24, 2025
BACKGROUND: Aortic valve stenosis with coronary artery disease (AS-CAD) represents a common yet complex cardiovascular comorbidity, characterized by multifactorial pathogenesis and a lack of specific serum biomarkers. These limitations hinder early d...
Single-Cell Analysis Female Humans Protein Interaction Maps Mice Aged Machine Learning Aortic Valve Stenosis Proteomics Animals Biomarkers Coronary Artery Disease Prognosis Male Fibrinogen
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Machine learning and multi-omics integration reveal TRPV2 as a central regulator in bicuspid aortic valve calcification.

Biochemical and biophysical research communications Oct 21, 2025
BACKGROUND: Bicuspid aortic valve (BAV), the most common congenital heart defect, is strongly predisposed to early calcification, yet the molecular drivers remain poorly defined. This study aims to identify the functional role of transient receptor p...
Gene Regulatory Networks Mice Multiomics Calcinosis Machine Learning Animals Gene Expression Profiling TRPV Cation Channels Osteogenesis Bicuspid Aortic Valve Disease Heart Valve Diseases Calcium Channels Aortic Valve Disease Aortic Valve Stenosis Humans Aortic Valve MicroRNAs RNA, Long Noncoding
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Incidence and severity of aortic stenosis according to machine learning predicted risk of atrial fibrillation.

Scientific reports Oct 15, 2025
Atrial fibrillation (AF) and aortic stenosis (AS) are two common progressive conditions affecting older persons that share pathobiological pathways. Early detection of AS is critical for improving outcomes, but no prediction tool exists to inform dec...
Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Incidence Aortic Valve Stenosis Registries Atrial Fibrillation Male Middle Aged Risk Assessment Severity of Illness Index
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Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

Archives of osteoporosis Jul 17, 2025
UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (43%) of osteoporosis in CT scans obtained for planning of transcatheter aortic valve replacement. Thus, opportunistic screening may be a cost-effectiv...
Female Aged Aged, 80 and over Male Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Algorithms Bone Density Osteoporosis Tomography, X-Ray Computed Humans Artificial Intelligence
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Aortic Stenosis and Mitral Regurgitation: Takeaways From the Heart Valve Collaboratory Workshop on Multivalvular Disease.

Journal of the American College of Cardiology Jun 27, 2025
The management of multivalvular disease presents increasing challenges in clinical practice caused by complex hemodynamic interactions and limited guideline-based recommendations. As part of the inaugural collaboration between JACC and the Heart Valv...
Mitral Valve Insufficiency Transcatheter Aortic Valve Replacement Humans Aortic Valve Stenosis
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Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial.

Heart (British Cardiac Society) Jun 26, 2025
BACKGROUND: Epicardial adipose tissue represents a metabolically active visceral fat depot that is in direct contact with the left ventricular myocardium. While it is associated with coronary artery disease, little is known regarding its role in aort...
Humans Prospective Studies Female Aged Male Ventricular Function, Left Echocardiography Pericardium Epicardial Adipose Tissue Middle Aged Adipose Tissue Disease Progression Ventricular Remodeling Severity of Illness Index Asymptomatic Diseases Aortic Valve Stenosis Computed Tomography Angiography
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Divergent Immune Pathways in Coronary Artery Disease and Aortic Stenosis: The Role of Chronic Inflammation and Senescence.

International journal of molecular sciences May 29, 2025
Coronary artery disease (CAD) remains a major cause of cardiovascular morbidity and mortality, with growing evidence linking immune dysregulation to its pathogenesis. Aortic stenosis often coexists with CAD (ASCAD), representing an advanced disease f...
Immunosenescence Middle Aged Biomarkers Humans Inflammation Cytokines Female Aortic Valve Stenosis Aged Coronary Artery Disease Male
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Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

BMC medical imaging May 26, 2025
OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valve stenosis, invasive coronary angiography (ICA) can be avoided if significant CAD can be screened with the non-invasive coronary CT angiography (cCTA)...
Sensitivity and Specificity Male Aortic Valve Stenosis Predictive Value of Tests Humans Coronary Angiography Fractional Flow Reserve, Myocardial Retrospective Studies Machine Learning Coronary Artery Disease Transcatheter Aortic Valve Replacement Female Computed Tomography Angiography Aged Coronary Stenosis Aged, 80 and over
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Multimodal Visualization and Explainable Machine Learning-Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With Preserved Ejection Fraction After Transcatheter Aortic Valve Replacement: Multicenter Cohort Study.

Journal of medical Internet research May 1, 2025
BACKGROUND: Currently, there is a paucity of literature addressing personalized risk stratification using multimodal data in patients with symptomatic aortic stenosis and heart failure with preserved ejection fraction (HFpEF) following transcatheter ...
Stroke Volume Risk Assessment Cohort Studies Aortic Valve Stenosis Female Humans Heart Failure Aged Machine Learning Transcatheter Aortic Valve Replacement Aged, 80 and over Biomarkers Male Prognosis
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ProtoASNet: Comprehensive evaluation and enhanced performance with uncertainty estimation for aortic stenosis classification in echocardiography.

Medical image analysis Apr 24, 2025
Aortic stenosis (AS) is a prevalent heart valve disease that requires accurate and timely diagnosis for effective treatment. Current methods for automated AS severity classification rely on black-box deep learning techniques, which suffer from a low ...
Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Uncertainty Echocardiography Severity of Illness Index Deep Learning Aortic Valve Stenosis
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