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      Predictors and Biomarkers of Subclinical Leaflet Thrombosis after Transcatheter Aortic Valve Implantation

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          Abstract

          Transcatheter aortic valve implantation (TAVI) is a recent revolutionary treatment for high-risk patients with severe aortic stenosis who are not suitable for surgery, expanding to intermediate and low-risk patients. Valve leaflet thrombosis (LT) is a potentially fatal complication after TAVI. The incidence of subclinical LT is as high as 25% among patients in the first year after TAVI. Subclinical LT may evolve into symptomatic thrombosis or lead to premature bioprosthesis degeneration, increasing the risk of neurological complications. Because imaging-based methods have limited sensitivity to detect subclinical LT, there is an urgent need for predictors and biomarkers that would make it possible to predict LT after TAVI. Here, we summarize recent data regarding (i) patient-related, (ii) procedure-related, (iii) blood-based and (iv) imaging predictors and biomarkers which might be useful for the early diagnosis of subclinical LT after TAVI. Prevention of LT might offer an opportunity to improve risk stratification and tailor therapy after TAVI.

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          Most cited references71

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          2017 ESC/EACTS Guidelines for the management of valvular heart disease.

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            2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS.

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              Transcatheter Aortic-Valve Replacement with a Self-Expanding Valve in Low-Risk Patients

              Transcatheter aortic-valve replacement (TAVR) is an alternative to surgery in patients with severe aortic stenosis who are at increased risk for death from surgery; less is known about TAVR in low-risk patients.
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                Author and article information

                Journal
                J Clin Med
                J Clin Med
                jcm
                Journal of Clinical Medicine
                MDPI
                2077-0383
                21 November 2020
                November 2020
                : 9
                : 11
                : 3742
                Affiliations
                [1 ]Department of Cardiology, Medical University of Warsaw, 02-091 Warsaw, Poland; katarzyna.m.pieniak@ 123456gmail.com (K.P.); s.jedrzejczyk64@ 123456gmail.com (S.J.); olafdomaszk@ 123456o2.pl (O.D.); kajetan.grodecki@ 123456gmail.com (K.G.); bartosz.rymuza@ 123456gmail.com (B.R.); zhuczek@ 123456wp.pl (Z.H.); jkochman@ 123456wum.edu.pl (J.K.); krzysztof.filipiak@ 123456wum.edu.pl (K.J.F.)
                [2 ]Laboratory of Experimental Clinical Chemistry, Academic Medical Centre, Amsterdam University Medical Centres, 1105 AZ Amsterdam, The Netherlands
                Author notes
                Author information
                https://orcid.org/0000-0003-3915-5758
                https://orcid.org/0000-0003-4674-0736
                https://orcid.org/0000-0002-0358-5679
                https://orcid.org/0000-0002-6563-0877
                https://orcid.org/0000-0001-5083-7587
                Article
                jcm-09-03742
                10.3390/jcm9113742
                7700436
                33233321
                c914e617-f2dc-4809-a335-29f7fe773c91
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 21 October 2020
                : 18 November 2020
                Categories
                Review

                leaflet thrombosis,predictors,biomarkers,aortic stenosis,tavi

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