Computational fluid dynamics accurately simulated pre- and post-TEER hemodynamics, with predicted post-TEER mean MVPG (3.29 mmHg) closely matching clinical outcomes (2.75 mmHg, P=0.068).
Observational (n=8)
Does patient-specific computational fluid dynamics (CFD) accurately predict pre- and post-TEER hemodynamics in patients with severe mitral regurgitation?
Patient-specific computational fluid dynamics can accurately simulate pre- and post-TEER hemodynamics, suggesting its potential utility for procedural planning and optimization.
Absolute Event Rate: 3.29% vs 2.75%
p-value: p=0.068
Abstract Background Transcatheter edge-to-edge repair (TEER) is an effective treatment for severe mitral regurgitation (MR) patients, but procedural challenges often lead to residual MR and iatrogenic mitral stenosis. Computational fluid dynamics (CFD) can provide detailed hemodynamic insights, yet its application in TEER planning remains limited. Purpose This study aimed to evaluate the accuracy of CFD in simulating both pre- and post-TEER hemodynamics, including mitral regurgitation fraction (MRF) and mean mitral valve pressure gradient (MVPG), and its potential for guiding procedural strategies. Methods Pre- and post-procedural hemodynamics of eight TEER patients were retrospectively analyzed. Patient-specific left heart models were reconstructed from CT and 3D transesophageal echocardiographic images. The deformation of the valve was calculated by the finite element method, and the hemodynamic parameters were obtained by CFD simulation. Predicted MRF and MVPG were compared with clinical parameters. Results Among the eight patients, the simulated MR grade matched the clinical MR grade in seven cases. One pre-TEER case showed a minor discrepancy, with a simulated regurgitation fraction of 47% (near the 4+ threshold of 50%). Post-TEER, the predicted MR grade also aligned with clinical outcomes in seven patients, with one discrepancy (actual MR grade 1+, predicted 0+). The predicted mean MVPG were slightly higher than post-TEER mean MVPG (3.29 ± 1.20 vs 2.75 ± 0.71 mmHg, P = 0.068). Conclusion CFD accurately simulated both pre- and post-TEER hemodynamics, closely matching clinical outcomes. These findings support its potential as a valuable tool for optimizing TEER strategies and improving patient outcomes.CFD Simulation for TEER Surgery
Wu et al. (Sat,) conducted a observational in Severe mitral regurgitation (n=8). Computational fluid dynamics (CFD) simulation vs. Clinical parameters was evaluated on Mean mitral valve pressure gradient (MVPG) (p=0.068). Computational fluid dynamics accurately simulated pre- and post-TEER hemodynamics, with predicted post-TEER mean MVPG (3.29 mmHg) closely matching clinical outcomes (2.75 mmHg, P=0.068).