ArticleJACC. Advances2024
Prediction of the Individual Aortic Stenosis Progression Rate and its Association With Clinical Outcomes.
Article in JACC. Advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Association of Valvular Disease Progression Using Echocardiographic Findings in a Large U.S. Cohort.Echocardiography (Mount Kisco, N.Y.) · 2026Article
- Impact of age on aortic valve calcium progression and risk for aortic stenosis: multi-ethnic study of atherosclerosis.European heart journal. Cardiovascular Imaging · 2026Article
- Unsupervised machine learning analysis to enhance risk stratification in patients with asymptomatic aortic stenosis.European heart journal. Digital health · 2026Article
- Abnormal vortex formation by 4D flow MRI as a marker for aortic valve replacement in moderate aortic stenosis: an exploratory study.Open heart · 2025Article
- Anti-inflammatory pharmacotherapy in patients with cardiovascular disease.European heart journal. Cardiovascular pharmacotherapy · 2025Review
- Prediction of Aortic Stenosis Progression Using Artificial Intelligence: A Machine Learning Model.JACC. Advances · 2025Article
- Moderate Aortic Stenosis Progression: When Do We Reassess?JACC. Advances · 2024Article
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Authors and funding
13 authors.
Funding
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Abstract
Background: The progression rate of aortic stenosis differs between patients, complicating clinical follow-up and management. Objectives: This study aimed to identify predictors associated with the progression rate of aortic stenosis. Methods: In this retrospective longitudinal single-center cohort study, all patients with moderate aortic stenosis who presented between December 2011 and December 2022 and had echocardiograms available were included. The individual aortic stenosis progression rate was calculated based on aortic valve area (AVA) from at least 2 echocardiograms performed at least 6 months apart. Baseline factors associated with the progression rate of AVA were determined using linear mixed-effects models, and the association of progression rate with clinical outcomes was evaluated using Cox regression. Results: The study included 540 patients (median age 69 years and 38% female) with 2,937 echocardiograms (median 5 per patient). Patients had a linear progression with a median AVA decrease of 0.09 cm Conclusions: AVA decreases linearly in individual patients, and faster progression is independently associated with higher mortality. Routine clinical and echocardiographic variables accurately predict the individual progression rate and may aid clinicians in determining the optimal follow-up interval for patients with aortic stenosis.
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