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Review
. 2020 Dec;24(6):350-360.
doi: 10.14744/AnatolJCardiol.2020.10018.

A comprehensive review of the diagnosis and management of mitral paravalvular leakage

Affiliations
Review

A comprehensive review of the diagnosis and management of mitral paravalvular leakage

Mustafa Ozan Gürsoy et al. Anatol J Cardiol. 2020 Dec.

Abstract

Mitral paravalvular leaks (PVLs) commonly occur in patients with prosthetic valves. Paravalvular defects may be clinically inconsequential and may aggravate hemolysis or cause heart failure through regurgitation. Accordingly, patients may eventually require intervention such as redo surgery or a transcatheter closure of the defects. The introduction of purpose-specific closure devices and new steerable catheters has opened a new frontier for the transcatheter PVL closure. This mode of treatment is an initial therapy in most centers with experienced structural heart team. However, head-to-head data comparing two treatment modalities (surgery and transcatheter closure) are limited, and the world-wide experience is based on nonrandomized studies. Multimodality imaging, including three-dimensional transesophageal echocardiography, facilitates the delineation of mitral PVLs and provides essential data that aids the communication between the members of the structural heart team. In the near future, the success of interventional therapies will most probably increase in patients with mitral PVLs with the introduction of hybrid imaging modalities (echocardiography, cardiac computed tomography, and fluoroscopy). In conclusion, this paper summarizes the etiopathogenesis, clinical characteristics, diagnosis, and treatment of mitral PVLs.

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Conflict of interest statement

Conflict of interest: None declared.

Figures

Figure 1
Figure 1
Multiple types of PVLs demonstrated by real-time three-dimensional transesophageal echocardiography
Figure 2
Figure 2
Schematic figure indicates the mitral prosthesis and the relation between the cardiac structures from the atrial side on clock-wise format in surgical view
Figure 3
Figure 3
The algorithm for diagnosis and treatment of PVLs is shown

References

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