ArticleCirculation. Heart failure2025
Plasma SVEP1 Levels Predict Cardiovascular Events in Hypertrophic Cardiomyopathy Beyond Conventional Clinical Risk Models Including NT-proBNP.
Article in Circulation. Heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dietary Sodium-Regulated Plasma SVEP1 and Inverse Salt Sensitivity.Hypertension (Dallas, Tex. : 1979) · 2026Trial
- Sushi, von Willebrand Factor Type A, EGF and Pentraxin Domain-Containing Protein 1: A Novel Fibroblast-Derived Circulating Biomarker Reflecting Cardiac Fibrosis.Journal of the American Heart Association · 2026Article
- The Prognostic Ability of ECG Findings in Predicting Cardiovascular Events: A Five-Year Nested Case-Cohort Study in an Iranian Population (Shiraz Heart Study).Health science reports · 2026Article
- Endothelial Cell-Related Proteins in Plasma Predict Major Adverse Cardiovascular Events and Worsening Heart Failure in Patients With Hypertrophic Cardiomyopathy.Journal of the American Heart Association · 2025Article
- SVEP1 Upregulation Is a Prominent Molecular Response to Dietary Sodium Loading and Correlates with Inverse Salt Sensitivity.medRxiv : the preprint server for health sciences · 2025Article
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Authors and funding
10 authors.
Funding
Abstract
backgroundHypertrophic cardiomyopathy is the most common genetic cardiomyopathy and causes major adverse cardiovascular events (MACE). SVEP1 (Sushi, von Willebrand factor type A, epidermal growth factor, and pentraxin domain containing 1) is a large extracellular matrix protein that is detectable in the plasma. However, it is unknown whether adding plasma SVEP1 levels to clinical predictors including NT-proBNP (N-terminal pro-B-type natriuretic peptide) improves the prognostication in patients with hypertrophic cardiomyopathy.
methodsWe performed a multicenter prospective cohort study of 610 patients with hypertrophic cardiomyopathy. The outcome was MACE defined as heart failure hospitalization or cardiac death. In 4 groups stratified by the median levels of SVEP1 and NT-proBNP, we compared the risk of MACE using the Cox proportional hazards model adjusting for 15 clinical predictors. We also developed a Lasso-regularized Cox proportional hazards model to predict time to first MACE by adding SVEP1 to the 15 clinical predictors with or without NT-proBNP and compared the predictive performance based on C statistics using 10-fold cross-validation.
resultsEven in the low NT-proBNP groups, the high SVEP1 group had higher risks of MACE compared with the low SVEP1 group (adjusted hazard ratio, 4.52 [95% CI, 1.05-19.4];
conclusionsSVEP1 improved the predictive performance of conventional models, including known clinical parameters with or without NT-proBNP, to predict future MACE in patients with hypertrophic cardiomyopathy.
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