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Updated: Jun 27, 2026

Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement
Published on: December 11, 2017
Stable, Progressive, and Acute Valve Syndrome in Severe Aortic Stenosis: Insights from the CURRENT AS Registry-2
Tomohiko Taniguchi1, Takeshi Morimoto2, Yasuaki Takeji3
1Department of Cardiovascular Medicine, Kobe City Medical Center General Hospital Kobe Japan.
Background:
A valve syndrome framework (stable valve syndrome [SVS], progressive valve syndrome [PVS], and acute valve syndrome [AVS]) integrates clinical presentation with objective markers, but its prognostic implications remain incompletely characterized.
Methods:
Among 3369 consecutive patients with severe aortic stenosis (AS) in the CURRENT AS Registry-2, we analyzed 2824 patients with natriuretic peptide (NP) and left ventricular ejection fraction (LVEF) data. Patients were classified as SVS (no symptoms with low NP), PVS (mild symptoms and/or mildly elevated NP), or AVS (acute deterioration and/or markedly elevated NP or reduced LVEF), and stratified by initial aortic valve replacement (AVR) and conservative strategies. The primary outcome was a composite of death or heart failure hospitalization. Subgroup analyses further classified patients into five phenotypes: SVS, progressive valve signs without symptoms, progressive valve symptoms, acute valve signs without symptoms, and acute valve symptoms.
Results:
In the initial AVR stratum, AVS was associated with higher risk for the primary outcome compared with SVS (adjusted HR 2.34, 95% CI 1.19-4.59, P=0.01), whereas PVS was not. In the conservative stratum, SVS demonstrated a very low early event rate (1.0% at 6 months), while AVS and PVS had higher risk than SVS. In the five-phenotype analysis, patients with progressive valve signs without symptoms underwent AVR at rates comparable to SVS yet had worse outcomes than SVS in the conservative stratum (adjusted HR 1.89, 95% CI 1.18-3.03, P=0.008).
Conclusions:
A valve syndrome framework highlights limitations of symptom-based risk stratification and may refine surveillance and intervention strategies in severe AS.
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