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Updated: Jul 29, 2025

A Simplified Stepwise Approach to Echo Guidance during Percutaneous Mitral Valve Repair
Published on: October 16, 2021
Postprocedural trans-mitral gradient in patients with degenerative mitral regurgitation undergoing mitral valve
Francesco De Felice1, Luca Paolucci1, Carmine Musto1
1Division of Interventional Cardiology, Azienda Ospedaliera S. Camillo Forlanini, Rome, Italy.
Background:
The relationship between high postprocedural mean gradient (ppMG) and clinical events following mitral valve transcatheter edge-to-edge repair (MV-TEER) in patients with degenerative mitral regurgitation (DMR) is still debated.
Aim:
The purpose of this study was to evaluate the effect of elevated ppMG after MV-TEER on clinical events in patients with DMR at 1-year follow-up.
Methods:
The study included 371 patients with DMR treated with MV-TEER enrolled in the "Multi-center Italian Society of Interventional Cardiology (GISE) registry of trans-catheter treatment of mitral valve regurgitation" (GIOTTO) registry. Patients were stratified in tertiles according to ppMG. Primary endpoint was a composite of all-cause death and hospitalization due to heart failure at 1-year follow-up.
Results:
Patients were stratified as follows: 187 with a ppMG ≤ 3 mmHg, 77 with a ppMG > 3/=4 mmHg, and 107 with a ppMG > 4 mmHg. Clinical follow-up was available in all subjects. At multivariate analysis, neither a ppMG > 4 mmHg nor a ppMG ≥ 5 mmHg were independently associated with the outcome. Notably, the risk of elevated residual MR (rMR > 2+) was significantly higher in patients belonging to the highest tertile of ppMG (p = 0.009). The association of ppMG > 4 mmHg and rMR ≥ 2+ was strongly and independently associated with adverse events (hazard ratio: 1.98; 95% confidence interval: [1.10-3.58]).
Conclusions:
In a real-world cohort of patients suffering DMR and treated with MV-TEER, isolated ppMG was not associated with the outcome at 1-year follow-up. A high proportion of patients showed both elevated ppMG and rMR and their combination appeared to be a strong predictor of adverse events.
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