Background: Secondary mitral regurgitation (SMR) is a progressive disease with characteristic pathophysiological changes that may influence prognosis. Although the staging of SMR patients suffering from heart failure with reduced ejection fraction (HFrEF) according to extramitral cardiac involvement has prognostic value in medically treated patients, such data are so far lacking for edge-to-edge mitral valve repair (M-TEER).
Objectives: This study sought to classify M-TEER patients into disease stages based on the phenotype of extramitral cardiac involvement and to assess its impact on symptomatic and survival outcomes.
Methods: Based on echocardiographic and clinical assessment, patients were assigned to 1 of the following HFrEF-SMR groups: left ventricular involvement (Stage 1), left atrial involvement (Stage 2), right ventricular volume/pressure overload (Stage 3), or biventricular failure (Stage 4). A Cox regression model was implemented to investigate the impact of HFrEF-SMR stages on 2-year all-cause mortality. The symptomatic outcome was assessed with New York Heart Association functional class at follow-up.
Results: Among a total of 849 eligible patients who underwent M-TEER for relevant SMR from 2008 until 2019, 9.5% (n = 81) presented with left ventricular involvement, 46% (n = 393) with left atrial involvement, 15% (n = 129) with right ventricular pressure/volume overload, and 29% (n = 246) with biventricular failure. An increase in HFrEF-SMR stage was associated with increased 2-year all-cause mortality after M-TEER (HR: 1.39; CI: 1.23-1.58; P < 0.01). Furthermore, higher HFrEF-SMR stages were associated with significantly less symptomatic improvement at follow-up.
Conclusions: The classification of M-TEER patients into HFrEF-SMR stages according to extramitral cardiac involvement provides prognostic value in terms of postinterventional survival and symptomatic improvement.
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http://dx.doi.org/10.1016/j.jcin.2022.10.032 | DOI Listing |
Catheter Cardiovasc Interv
December 2024
Cedars-Sinai Medical Center, Smidt Heart Institute, Los Angeles, California, USA.
Background: An enhanced classification of primary mitral regurgitation (PMR) based on extramitral cardiac involvement may refine patient selection and optimize the timing of transcatheter edge-to-edge repair (TEER).
Aims: This study aimed to assess the prognostic significance of a recently established classification system that characterizes the extent of extramitral cardiac damage in patients undergoing TEER for PMR.
Methods: Consecutive PMR patients who received MitraClip implantation were categorized according to the presence of extramitral cardiac damage, determined through preprocedural echocardiography.
JACC Cardiovasc Interv
July 2024
Medizinische Klinik und Poliklinik I, LMU Klinikum, LMU München, Munich, Germany; German Center for Cardiovascular Research, Partner Site Munich Heart Alliance, Munich, Germany. Electronic address:
JACC Cardiovasc Interv
July 2024
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA. Electronic address:
Background: Mitral annular calcification (MAC) is a progressive degenerative process associated with comorbidities and increased mortality. A staging system that considers extramitral cardiac damage in MAC may help improve patient selection for mitral valve interventions.
Objectives: This study sought to develop a transthoracic echocardiogram (TTE)-based cardiac staging system in patients with MAC and significant mitral valve dysfunction and assess its prognostic utility.
EuroIntervention
December 2023
Department of Cardiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Eur Heart J Cardiovasc Imaging
April 2023
Department of Cardiology, German Heart Center Munich, Technical University of Munich, Lazarettstrasse 36, 80636 Munich, Germany.
Aims: Patients with mitral regurgitation (MR) present with considerable heterogeneity in cardiac damage depending on underlying aetiology, disease progression, and comorbidities. This study aims to capture their cardiopulmonary complexity by employing a machine-learning (ML)-based phenotyping approach.
Methods And Results: Data were obtained from 1426 patients undergoing mitral valve transcatheter edge-to-edge repair (MV TEER) for MR.
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