期刊
JOURNAL OF CLINICAL MEDICINE
卷 11, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/jcm11092276
关键词
mitral regurgitation; percutaneous edge-to-edge mitral repair; echocardiography; mitral regurgitation grading; follow up
资金
- Fundacion Interhospitalaria para la Investigacion Cardiovascular (FIC)
- Spanish Ministry of Science and Innovation (Instituto de Salud Carlos III) [CM21/00091]
This study evaluated the predictive value of different MR parameters from intraprocedural transesophageal echocardiogram (TEE) for grading in consecutive transthoracic echocardiogram (TTE) during the follow up. The study found that the maximum and additive VC were the most reliable parameters for predicting persistence of significant insufficiency.
Background: There is no consensus on the best intraprocedural parameter to evaluate residual mitral regurgitation (MR) after transcatheter edge-to-edge mitral repair (TEER). Thus, our aim was to evaluate the predictive value of different MR parameters from intraprocedural transesophageal echocardiogram (TEE) for grading in consecutive transthoracic echocardiogram (TTE) during the follow up. Methods: All the consecutive patients who underwent TEER with MitraClip between 2010 and 2020 in our center were considered. TEE-derived immediate postprocedural MR parameters were reassessed to blindly compare them with follow up MR grading in sequential TTE. Results: We finally included 88 patients (64.8% males; 76 +/- 10 years-old). Significant MR was detected in 14.3% of the cases at 6 months, in similar proportion than at postprocedural at 1 month. Among all the intraprocedural TEE quantitative parameters only additive and maximum VC were associated with significant MR persistence. Moreover, on ROC analysis maximum VC demonstrated an excellent discriminatory power (AUC 0.96; p < 0.001) to identify MR >= III at 6 months. Thus, a cut-off point of 0.45 cm demonstrated 88% sensitivity and 89% specificity. Conclusion: Among intraprocedural TEE parameters to evaluate residual MR in TEER, maximum and additive VC were the most reliable to predict persistence of significant insufficiency.
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