Key result
Predicted prosthesis-patient mismatch shows poor consistency with measured mismatch after SAVR, with ~73% accuracy.
Why the study?
Prosthesis-patient mismatch after SAVR is linked to worse clinical outcomes and durability, prompting evaluation of consistency between predicted and measured mismatch across three bioprostheses.
Does predicted prosthesis-patient mismatch accurately reflect measured prosthesis-patient mismatch in patients undergoing surgical aortic valve replacement?
Observational (n=872)
No
Does predicted prosthesis-patient mismatch accurately reflect measured prosthesis-patient mismatch in patients undergoing surgical aortic valve replacement?
Predicted prosthesis-patient mismatch has suboptimal consistency with measured mismatch, particularly in smaller valve sizes, suggesting caution when relying on predictive tools for small aortic annuli.
Answers are grounded in this paper and cite their sources.
Caution advised relying on predicted PPM for SAVR valve selection in small annuli; leaves open need for validated predictive models.
Background and Objectives: Prosthesis–patient mismatch (PPM) after surgical aortic valve replacement (SAVR) is associated with worse clinical outcomes and worse valve durability. The aim of this retrospective single-center study was to evaluate the consistency between predicted PPM (PPMp) and measured PPM (PPMm) after SAVR with three different bioprostheses. Materials and Methods: We analyzed data of all consecutive patients who underwent surgical aortic valve replacement with Magna Ease, Intuity, and Inspiris Resilia bioprostheses (Edwards Lifesciences, Irvine, CA, USA) at our institution. PPM was defined if EOAi ≤ 0.85 cm2/m2. PPMm was determined by institutional echo lab-measured EOAi on discharge-day echocardiogram. PPMp was assessed using reference values for each valve model and size indexed to BSA based on height, weight, prosthesis type, and size. For the overall population and for the three valve types we evaluated the sensitivity, specificity, positive predicted value, negative predicted value, and accuracy of PPMp. Furthermore, the consistency between PPMm and PPMp were evaluated according to prosthesis type, size, stent internal diameter (ID), and true ID. Results: A total of 1323 patients underwent SAVR; complete hemodynamic data were available for 872 patients, who represent the population of our study. Magna Ease, Intuity, and Inspiris Resilia were implanted in 446 (51.1%), 341 (39.1%), and 85 (9.7%) patients, respectively. In 635 out of 872 cases (72.8%), PPMp was consistent with PPMm (Magna Ease: 321/446, 72%; Inspiris Resilia: 58/85, 68.2%; Intuity: 256/341, 75%). Overall, the sensitivity, specificity, positive predicted value, negative predicted value, and accuracy of PPMp were 0.26, 0.83, 0.24, 0.84, and 0.73, respectively (Magna Ease: 0.21, 0.82, 0.3, 0.8, and 0.72; Inspiris Resilia: 0.11, 0.82, 0.14, 0.79, and 0.68; Intuity: 0.45, 0.78, 0.19, 0.93, and 0.75). Conclusions: The consistency between PPMp and PPMm was suboptimal. We did not observe differences between PPMp and PPMm among different valve types. Discordance between PPMp and PPMm was more evident in smaller valve sizes. When implanting small valves, the evaluation of PPMp should be used with caution to avoid unexpected PPMm.
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Cibin et al. (2025) conducted an observational in Aortic stenosis or regurgitation requiring surgical aortic valve replacement (n=872). Predicted prosthesis-patient mismatch (PPMp) assessment vs. Measured prosthesis-patient mismatch (PPMm) was evaluated on Consistency between predicted and measured prosthesis-patient mismatch. Predicted prosthesis-patient mismatch showed suboptimal consistency with measured mismatch after surgical aortic valve replacement, with an overall accuracy of 73% and sensitivity of 26%.
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