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Steiner-Gager GM, Rogozarski J, Kronberger C, Dizdarevic AM, Quehenberger P, Schernthaner R, Loewe C, Reider L, Strassl A, Kovacevic Miljevic K, Jilma B, Ay C, Königsbrügge O, Postula M, Hengstenberg C, Siller-Matula JM. Prediction model for leaflet thrombosis in patients undergoing transcatheter aortic valve implantation: the EFFORT study. Clin Res Cardiol 2024:10.1007/s00392-024-02486-3. [PMID: 39012508 DOI: 10.1007/s00392-024-02486-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 06/24/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND Leaflet thrombosis (LT) is a multifaceted and underexplored condition that can manifest following transcatheter aortic valve implantation (TAVI). The objective of this study was to formulate a prediction model based on laboratory assessments and clinical parameters, providing additional guidance and insight into this relatively unexplored aspect of post-TAVI complications. METHODS The present study was an observational prospective hypothesis-generating study, including 101 patients who underwent TAVI and a screening for LT (the primary endpoint) by multidetector computed tomography (MDCT). All images were acquired on a third-generation dual-source CT system. Levels of von Willebrand factor (vWF) activity, hemoglobin (Hb), and lactate dehydrogenase (LDH) were measured among other parameters. A predictive score utilizing binary logistic regression, Kaplan-Meier time-to-event analysis, and receiver operating characteristics (ROC) analysis was established. RESULTS LT (11 subclinical and 2 clinical) was detected in 13 of 101 patients (13%) after a median time to screening by MDCT of 105 days (IQR, 98-129 days). Elevated levels of vWF activity (> 188%) pre-TAVI, decreased Hb values (< 11.9 g/dL), as well as increased levels of LDH (> 312 U/L) post-TAVI and absence of oral anticoagulation (OAC) were found in patients with subsequent LT formation as compared to patients without LT. The established EFFORT score ranged from - 1 to 3 points, with an increased probability for LT development in patients with ≥ 2 points (85.7% of LT cases) vs < 2 points (14.3% of LT cases; p < 0.001). Achieving an EFFORT score of ≥ 2 points was found to be significantly associated with a 10.8 times higher likelihood of developing an LT (p = 0.001). The EFFORT score has an excellent c-statistic (area under the curve (AUC) = 0.89; 95% CI 0.74-1.00; p = 0.001) and a high negative predictive value (98%). CONCLUSION An EFFORT score might be a helpful tool to predict LT development and could be used in risk assessment, if validated in confirmatory studies. Therefore, the score has the potential to guide the stratification of individuals for the planning of subsequent MDCT screenings.
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Affiliation(s)
- Gloria M Steiner-Gager
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Jovan Rogozarski
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Christina Kronberger
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Al Medina Dizdarevic
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Peter Quehenberger
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Ruediger Schernthaner
- Department of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
- Central Radiology Institute, Diagnostic and Interventional Radiology, Klinik Landstraße, Vienna, Austria
| | - Christian Loewe
- Department of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Reider
- Department of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Andreas Strassl
- Department of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | | | - Bernd Jilma
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Cihan Ay
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Oliver Königsbrügge
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Marek Postula
- Department of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Warsaw, Poland
| | - Christian Hengstenberg
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Jolanta M Siller-Matula
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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Thyregod HGH, De Backer O, Søndergaard L. A notion of bioprosthetic aortic valve durability. Eur Heart J 2024:ehae387. [PMID: 38953858 DOI: 10.1093/eurheartj/ehae387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/04/2024] Open
Affiliation(s)
- Hans Gustav Hørsted Thyregod
- Department of Cardiothoracic Surgery, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark
| | - Ole De Backer
- Department of Cardiology, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark
| | - Lars Søndergaard
- Department of Cardiology, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark
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Long-term prognostic impact of paravalvular leakage on coronary artery disease requires patient-specific quantification of hemodynamics. Sci Rep 2022; 12:21357. [PMID: 36494362 PMCID: PMC9734172 DOI: 10.1038/s41598-022-21104-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 09/22/2022] [Indexed: 12/13/2022] Open
Abstract
Transcatheter aortic valve replacement (TAVR) is a frequently used minimally invasive intervention for patient with aortic stenosis across a broad risk spectrum. While coronary artery disease (CAD) is present in approximately half of TAVR candidates, correlation of post-TAVR complications such as paravalvular leakage (PVL) or misalignment with CAD are not fully understood. For this purpose, we developed a multiscale computational framework based on a patient-specific lumped-parameter algorithm and a 3-D strongly-coupled fluid-structure interaction model to quantify metrics of global circulatory function, metrics of global cardiac function and local cardiac fluid dynamics in 6 patients. Based on our findings, PVL limits the benefits of TAVR and restricts coronary perfusion due to the lack of sufficient coronary blood flow during diastole phase (e.g., maximum coronary flow rate reduced by 21.73%, 21.43% and 21.43% in the left anterior descending (LAD), left circumflex (LCX) and right coronary artery (RCA) respectively (N = 6)). Moreover, PVL may increase the LV load (e.g., LV load increased by 17.57% (N = 6)) and decrease the coronary wall shear stress (e.g., maximum wall shear stress reduced by 20.62%, 21.92%, 22.28% and 25.66% in the left main coronary artery (LMCA), left anterior descending (LAD), left circumflex (LCX) and right coronary artery (RCA) respectively (N = 6)), which could promote atherosclerosis development through loss of the physiological flow-oriented alignment of endothelial cells. This study demonstrated that a rigorously developed personalized image-based computational framework can provide vital insights into underlying mechanics of TAVR and CAD interactions and assist in treatment planning and patient risk stratification in patients.
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Esmailie F, Razavi A, Yeats B, Sivakumar SK, Chen H, Samaee M, Shah IA, Veneziani A, Yadav P, Thourani VH, Dasi LP. Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling. STRUCTURAL HEART : THE JOURNAL OF THE HEART TEAM 2022; 6:100032. [PMID: 37273734 PMCID: PMC10236878 DOI: 10.1016/j.shj.2022.100032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/09/2021] [Accepted: 11/03/2021] [Indexed: 06/06/2023]
Abstract
Transcatheter aortic valve replacement (TAVR) is a rapidly growing field enabling replacement of diseased aortic valves without the need for open heart surgery. However, due to the nature of the procedure and nonremoval of the diseased tissue, there are rates of complications ranging from tissue rupture and coronary obstruction to paravalvular leak, valve thrombosis, and permanent pacemaker implantation. In recent years, computational modeling has shown a great deal of promise in its capabilities to understand the biomechanical implications of TAVR as well as help preoperatively predict risks inherent to device-patient-specific anatomy biomechanical interaction. This includes intricate replication of stent and leaflet designs and tested and validated simulated deployments with structural and fluid mechanical simulations. This review outlines current biomechanical understanding of device-related complications from TAVR and related predictive strategies using computational modeling. An outlook on future modeling strategies highlighting reduced order modeling which could significantly reduce the high time and cost that are required for computational prediction of TAVR outcomes is presented in this review paper. A summary of current commercial/in-development software is presented in the final section.
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Affiliation(s)
- Fateme Esmailie
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA
| | - Atefeh Razavi
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA
| | - Breandan Yeats
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA
| | - Sri Krishna Sivakumar
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA
| | - Huang Chen
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA
| | - Milad Samaee
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA
| | - Imran A. Shah
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA
| | - Alessandro Veneziani
- Department of Mathematics, Department of Computer Science, Emory University, Atlanta, Georgia, USA
| | - Pradeep Yadav
- Department of Cardiology, Marcus Valve Center, Piedmont Heart Institute, Atlanta, Georgia, USA
| | - Vinod H. Thourani
- Department of Cardiovascular Surgery, Marcus Valve Center, Piedmont Heart Institute, Atlanta, Georgia, USA
| | - Lakshmi Prasad Dasi
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA
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Jiang M, Mu J, Shen S, Zhang H. COVID-19 With Preexisting Hypercoagulability Digestive Disease. Front Med (Lausanne) 2021; 7:587350. [PMID: 33521013 PMCID: PMC7838325 DOI: 10.3389/fmed.2020.587350] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 12/11/2020] [Indexed: 02/05/2023] Open
Abstract
The outbreak of coronavirus disease of 2019 (COVID-19) has become a global public health and economic crisis. The advent of hypercoagulability and thrombotic complications can substantially influence the prognosis of COVID-19 patients. In this review, we elaborate on the clinical findings, potential underlying pathogenesis, and therapeutic strategy of hypercoagulability and thromboembolism in COVID-19, particularly focusing on the COVID-19 patients with preexisting digestive hypercoagulability disease.
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Affiliation(s)
- Mingshan Jiang
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
- Center for Inflammatory Bowel Disease, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Inflammatory Bowel Disease, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Jingxi Mu
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
- Center for Inflammatory Bowel Disease, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Inflammatory Bowel Disease, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Silan Shen
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
- Center for Inflammatory Bowel Disease, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Inflammatory Bowel Disease, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Hu Zhang
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
- Center for Inflammatory Bowel Disease, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Inflammatory Bowel Disease, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
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Drakopoulou M, Soulaidopoulos S, Oikonomou G, Stathogiannis K, Latsios G, Synetos A, Tousoulis D, Toutouzas K. Novel Perspective for Antithrombotic Therapy in TAVI. Curr Pharm Des 2020; 26:2789-2803. [DOI: 10.2174/1381612826666200413083746] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 03/16/2020] [Indexed: 12/29/2022]
Abstract
:
While surgical aortic valve replacement (SAVR) was for years the only available treatment for symptomatic
aortic stenosis, the introduction of transcatheter aortic valve implantation (TAVI) in 2002 and the improvement
of its technical aspects in the following years, has holistically changed the synchronous therapeutic
approach of aortic valve stenosis. Recent evidence has expanded the indication of TAVI from high to lower surgical
risk populations with symptomatic aortic stenosis. The administration of antithrombotic therapy periprocedurally
and its maintenance after a successful TAVI is crucial for the prevention of complications and affects
postprocedural survival. Randomized controlled trials investigating the appropriate combination and the
duration of antithrombotic treatment after TAVI are for the moment scarce. This review article sheds light on the
underlying pathogenetic mechanisms contributing in periprocedural TAVI thrombotic complications and discuss
the efficacy of current antithrombotic policies as evaluated in randomized trials.
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Affiliation(s)
- Maria Drakopoulou
- First Department of Cardiology, Hippokration Hospital, Medical School of Athens University, Athens, Greece
| | - Stergios Soulaidopoulos
- First Department of Cardiology, Hippokration Hospital, Medical School of Athens University, Athens, Greece
| | - George Oikonomou
- First Department of Cardiology, Hippokration Hospital, Medical School of Athens University, Athens, Greece
| | - Konstantinos Stathogiannis
- First Department of Cardiology, Hippokration Hospital, Medical School of Athens University, Athens, Greece
| | - George Latsios
- First Department of Cardiology, Hippokration Hospital, Medical School of Athens University, Athens, Greece
| | - Andreas Synetos
- First Department of Cardiology, Hippokration Hospital, Medical School of Athens University, Athens, Greece
| | - Dimitrios Tousoulis
- First Department of Cardiology, Hippokration Hospital, Medical School of Athens University, Athens, Greece
| | - Konstantinos Toutouzas
- First Department of Cardiology, Hippokration Hospital, Medical School of Athens University, Athens, Greece
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Valvo R, Criscione E, Reddavid C, Barbanti M. Early detection of transcatheter heart valve dysfunction. Expert Rev Cardiovasc Ther 2019; 17:863-872. [PMID: 31829050 DOI: 10.1080/14779072.2019.1703673] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Introduction: Transcatheter aortic valve implantation therapy is spreading rapidly, representing the standard of care in inoperable and high-risk patients, and a valid alternative in intermediate- and low-risk patients with severe symptomatic aortic stenosis. In this subset, the development and validation of noninvasive, quantitative, in vivo imaging modality, to monitor possible valve dysfunction is mandatory, in order to plan timely therapeutic interventions before the onset of symptoms.Areas covered: The implantation of transcatheter heart valves (THV) is increasing rapidly. As a consequence, THV dysfunction will become a major cause of cardiovascular morbidity after TAVI. Emergency repeat aortic valve replacement surgery is associated with a high rate of mortality compared with elective repeat surgery. In this context, early detection of THV dysfunction is therefore highly desirable. The review aims to examine the different diagnostic method to early detect THV dysfunction.Expert opinion: Most promising innovations in the diagnosis of early detection of THV dysfunction are evaluated, and the future outlook is explored. Waiting for upcoming evidence about the utility of CT, CMR, and PET on early detection of THV dysfunction, tailoring echocardiogram follow-up based on patients' characteristics is the desirable approach.
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Affiliation(s)
- Roberto Valvo
- A.O.U. Policlinico-Vittorio Emanuele, University of Catania, Catania, Italy
| | - Enrico Criscione
- A.O.U. Policlinico-Vittorio Emanuele, University of Catania, Catania, Italy
| | - Claudia Reddavid
- A.O.U. Policlinico-Vittorio Emanuele, University of Catania, Catania, Italy
| | - Marco Barbanti
- A.O.U. Policlinico-Vittorio Emanuele, University of Catania, Catania, Italy
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