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Predictors and Biomarkers of Subclinical Leaflet Thrombosis after Transcatheter Aortic Valve Implantation. J Clin Med 2020; 9:jcm9113742. [PMID: 33233321 PMCID: PMC7700436 DOI: 10.3390/jcm9113742] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 11/12/2020] [Accepted: 11/18/2020] [Indexed: 01/03/2023] Open
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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Van Belle E, Vincent F, Rauch A, Casari C, Jeanpierre E, Loobuyck V, Rosa M, Delhaye C, Spillemaeker H, Paris C, Debry N, Verdier B, Vincentelli A, Dupont A, Lenting PJ, Susen S. von Willebrand Factor and Management of Heart Valve Disease: JACC Review Topic of the Week. J Am Coll Cardiol 2020; 73:1078-1088. [PMID: 30846101 DOI: 10.1016/j.jacc.2018.12.045] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 12/30/2018] [Indexed: 10/27/2022]
Abstract
For decades, numerous observations have shown an intimate relationship between von Willebrand factor (VWF) multimer profile and heart valve diseases (HVD). The current knowledge of the unique biophysical properties of VWF helps us to understand the longstanding observations concerning the bleeding complications in patients with severe HVD. Not only does the analysis of the VWF multimer profile provide an excellent evaluation of HVD severity, it is also a strong predictor of clinical events. Also of importance, VWF responds within minutes to any significant change in hemodynamic valve status, making it an accurate marker of the quality of surgical and transcatheter therapeutic interventions. The authors provide in this review a practical, comprehensive, and evidence-based framework of the concept of VWF as a biomarker in HVD, advocating for its implementation into the clinical decision-making process besides usual clinical and imaging evaluation. They also delineate critical knowledge gaps and research priorities to definitely validate this concept.
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Affiliation(s)
- Eric Van Belle
- CHU Lille, Université de Lille, Inserm U1011 - EGID, Institut Pasteur de Lille, Lille, France; CHU Lille, Institut Coeur Poumon, Cardiology, Lille, France
| | - Flavien Vincent
- CHU Lille, Université de Lille, Inserm U1011 - EGID, Institut Pasteur de Lille, Lille, France; CHU Lille, Institut Coeur Poumon, Cardiology, Lille, France
| | - Antoine Rauch
- CHU Lille, Université de Lille, Inserm U1011 - EGID, Institut Pasteur de Lille, Lille, France; CHU Lille, Hematology and Transfusion, Lille, France
| | - Caterina Casari
- Inserm, UMR_S 1176, Université Paris-Sud, Université Paris-Saclay, Le Kremlin-Bicêtre, France
| | - Emmanuelle Jeanpierre
- CHU Lille, Université de Lille, Inserm U1011 - EGID, Institut Pasteur de Lille, Lille, France; CHU Lille, Hematology and Transfusion, Lille, France
| | - Valentin Loobuyck
- CHU Lille, Université de Lille, Inserm U1011 - EGID, Institut Pasteur de Lille, Lille, France; CHU Lille, Institut Coeur Poumon, Cardiac Surgery, Lille, France
| | - Mickael Rosa
- CHU Lille, Université de Lille, Inserm U1011 - EGID, Institut Pasteur de Lille, Lille, France
| | - Cedric Delhaye
- CHU Lille, Institut Coeur Poumon, Cardiology, Lille, France
| | | | - Camille Paris
- CHU Lille, Université de Lille, Inserm U1011 - EGID, Institut Pasteur de Lille, Lille, France; CHU Lille, Hematology and Transfusion, Lille, France
| | - Nicolas Debry
- CHU Lille, Institut Coeur Poumon, Cardiology, Lille, France
| | - Basile Verdier
- CHU Lille, Institut Coeur Poumon, Cardiology, Lille, France
| | - André Vincentelli
- CHU Lille, Université de Lille, Inserm U1011 - EGID, Institut Pasteur de Lille, Lille, France; CHU Lille, Institut Coeur Poumon, Cardiac Surgery, Lille, France
| | - Annabelle Dupont
- CHU Lille, Université de Lille, Inserm U1011 - EGID, Institut Pasteur de Lille, Lille, France
| | - Peter J Lenting
- Inserm, UMR_S 1176, Université Paris-Sud, Université Paris-Saclay, Le Kremlin-Bicêtre, France
| | - Sophie Susen
- CHU Lille, Université de Lille, Inserm U1011 - EGID, Institut Pasteur de Lille, Lille, France; CHU Lille, Hematology and Transfusion, Lille, France.
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