Clinical utility of a predictive model for paravalvular aortic regurgitation after transcatheter aortic valve implantation with a self-expandable prosthesis

经导管主动脉瓣置换术后自膨式人工瓣膜发生瓣周主动脉瓣反流的预测模型的临床应用价值

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Abstract

BACKGROUND: A predictive model for Paravalvular aortic regurgitation (PAR) integrating the left ventricular outflow tract-to-ascending aorta angle (LVOT-AO) and depth to the non-coronary cusp (NCC) after TAVI with CoreValve prosthesis (MCP) was retrospectively identified (2 × ∠LVOT-AO + [depth to NCC-10]2; cutoff = 50). However, the validity and clinical utility of this model remain unknown. METHODS: A total of 100 patients (79.6 ± 7 years, mean EuroScore 24.9 ± 16.3%, 41 males) constituted a validation cohort for the predictive model. Both angle (LVOT-AO) and depth to NCC were considered during patient selection and device implantation. RESULTS: Significant AR occurred in 16% (group A) vs. 84% (group B). Angle ∠LVOT-AO and depth to NCC were larger in group A compared to group B (16.4 ± 7.2 vs. 11.8 ± 4.1, p < 0.001, and 9.1 ± 4.8 mm vs. 6.6 ± 2.7 mm, p = 0.004). The model showed a sensitivity of 68.7% and a specificity of 88.1% in prediction of PAR. Comparing the derivation cohort (initial experience, n = 50) and validation cohort (later experience, n = 100) it is showed that the ∠LVOT-AO, valve depth and PAR were significantly lower (12.5 ± 4.9 and 6.9 ± 3.2 mm vs. 19.7 ± 7.9 and 10.4 ± 3.7 mm, 40% vs. 16% respectively, all p < 0.001) in the validation cohort. CONCLUSION: The predictive model for significant PAR after TAVI using MCP is valid with a reassuring specificity and an acceptable sensitivity. A strategy incorporating these anatomical and procedural variables improves PAR after TAVI.

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