Literature DB >> 36237228

Mind the gap: avoiding paravalvular leak using computer simulation in bicuspid transcatheter aortic valve replacement-a case report.

James Dargan1, Rumneek Hampal2, Faisal Khan2, Stephen Brecker1.   

Abstract

Background: Transcatheter aortic valve replacement (TAVR) is becoming increasingly prevalent worldwide and is now more common than surgical aortic valve replacement. It is expanding into all patient subsets including younger and lower risk patients. Bicuspid aortic valve (BAV) accounts for a significant proportion of TAVR, but due to heterogenous anatomy, it is of increased complexity. One of the greatest challenges in BAV is the selection of the correct TAVR size. Transcatheter aortic valve replacement sizing is based upon computed tomography-derived annular measurements. There are a number of sizing algorithms for BAV based upon anatomical characteristics, often yielding different results. This is noted especially when a patient falls near the borderline between two valve sizes, an anatomical grey zone. Complementary to the algorithm approach is the use of pre-procedural patient-specific computer simulation using finite-element modelling. Case summary: An 86-year-old female was treated for heart failure secondary to severe and calcific BAV aortic stenosis with TAVR. Due to anatomical difficulty and grey-zone valve sizing, we demonstrate the use of pre-procedural patient-specific computer simulation with the novel Medtronic Evolut PRO+ platform to achieve a good result. Discussion: Using patient-specific computer simulation, we were able to safely select the valve and the deployment height and then accurately predict the result in a difficult, severely calcified BAV. In addition to improving outcome, this allows for patient-specific, tailored discussion to occur at heart team meetings.
© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology.

Entities:  

Keywords:  Bicuspid aortic valve; Case report; TAVR sizing

Year:  2022        PMID: 36237228      PMCID: PMC9552996          DOI: 10.1093/ehjcr/ytac398

Source DB:  PubMed          Journal:  Eur Heart J Case Rep        ISSN: 2514-2119


Transcatheter bicuspid aortic valve (BAV) intervention is an expanding and challenging field. Determining the correct valve size is integral in ensuring a good outcome. Patient-specific simulation modelling can assist in this. There are several accepted methods for valve sizing in BAV: the CASPAR, Circle, LIRA, and BAVARD methods. We demonstrate the use of patient-specific pre-procedural modelling which may have advantages over algorithm-based methodology to achieve the best result in an individual patient.

Introduction

Transcatheter aortic valve replacement (TAVR) is becoming increasingly prevalent worldwide. In 2019, the number of TAVRs performed in the USA exceeded surgical aortic valve replacements (SAVRs), 72 991 vs. 57 626.[1] It is estimated that 10% of those undergoing TAVR have bicuspid aortic valve (BAV); therefore, a large number of BAV TAVRs are being performed.[2]

Timeline

A recent meta-analysis found an increased risk of moderate-to-severe paravalvular leak (PVL), cerebral ischaemic events, and annular rupture in subjects with BAV compared with triscupid aortic valve stenosis.[3] Bicuspid aortic valve cases pose increased complexity due to heterogenous valve morphology and heavy calcium burden. Valve morphology can be classified by the number of raphes, their position, and functional state using the Sievers score.[4] The annulus is often not circular, and the leaflets can form a supra-annular funnel. Therefore, one of the greatest challenges in BAV is selection of the correct TAVR size. Sizing is based upon computed tomography (CT)-derived aortic annular measurements. There are several sizing algorithms for BAV, often yielding different results depending upon anatomical characteristics. This occurs especially when a patient falls between two valve sizes, an anatomical grey zone. An addition to the algorithm approach is using pre-procedural patient-specific computer simulation utilizing finite-element valve modelling and computational flow dynamics. In this case report, we demonstrate the use of modelling with the novel Medtronic Evolut PRO+ platform in a grey-zone patient to achieve an optimal result.

Case presentation

An 86-year-old female was admitted with a history of progressive dyspnoea, reducing exercise tolerance, one syncopal episode, and no angina. On admission, she had both pulmonary and peripheral oedema requiring intra-venous diuretics. Baseline electrocardiogram showed sinus rhythm with normal PR interval and narrow QRS. Transthoracic echocardiography demonstrated severe aortic stenosis (AS), peak gradient 71 mmHg and mean gradient 43 mmHg. The left ventricle was impaired with an ejection fraction of 40%. The patient responded well to diuretics and was discharged home for outpatient TAVR assessment. On regular diuretic therapy, she was able to mobilize moderate distances with the use of a stick. Medical history is of treated breast cancer, hypothyroidism, and osteoarthritis. She is an ex-smoker. Outpatient coronary angiography showed a right dominant circulation and minimal atheroma only. CT TAVR showed a severely calcified, Sievers Type 1, left-right fused BAV with perimeter of 82.9 mm (). There was a derived annular diameter of 26.4 mm, sinus of Valsalva diameter of 36 mm, sino-tubular junction height of 21.2 mm, diameter 35.6 mm, and left-ventricular outflow tract calcium. This places the patient near the borderline between 29 and 34 mm Evolut valves, favouring a 34 mm valve. Computed tomography analysis was completed using 3mensio aortic valve (PIE Medical Imaging, Maastricht, The Netherlands). (A) Calcified Sievers Type 1 bicuspid aortic valve with R–L fusion. The annular perimeter is 82.9 mm. There was a derived annular diameter of 26.4 mm, a sinus of Valsalva diameter of 34.4 mm, and a sino-tubular junction height of 21.2 mm. (B) The hockey puck virtual reality reconstruction of valvular structure and calcification. Note: the valve is inverted, and therefore, the right and left coronary cusps are inverted between images. Despite the presence of BAV, considering the patient’s age and frailty, the heart team felt the best option would be TAVR rather than surgery, should a good TAVR result be achievable. International guidelines would routinely recommend TAVR in this patient if not for the presence of BAV.[5,6] Within our centre, we use pre-procedural patient-specific computer simulation using finite-element modelling with FEops HEARTguide (FEops nv, Gent, Belgium) platform for challenging anatomy, including heavily calcified and BAV cases. Using HEARTguide, we simulated the Medtronic (Minneapolis, MN, USA) Evolut PRO 29 mm and Evolut R 34 mm at high and medium implantation depths. The simulation predicted severe PVL with both valve sizes and depths, ranging from 31.6 to 60.5 mL/s of PVL. Greater than 16 mL/s is indicative of more than mild PVL. Due to insufficient opacification of the right ventricle on TAVR CT, conduction abnormality risk could not be predicted. Following the initial modelling, SAVR was re-discussed but felt unattractive. Given the unacceptable result described above, we simulated a Medtronic Evolut 34 mm PRO+ valve, which was just becoming available. In the high position, there was significant PVL estimated at 47.5 mL/s. In the medium depth of 4.3 mm, PVL was estimated at 14.9 mL/s, consistent with mild severity. The PVL was located posteriorly ( and ). Demonstrating the six modelled scenarios. The three valves: Evolut 29 PRO, Evolut 34R, and Evolut 34 PRO+ in both high and medium positions with the associated predicted paravalvular leak in millilitres per second. A more than mild paravalvular leak is predicted in >16 mL/s. This demonstrates the Evolut 34 PRO+ has the lowest amount of predicted paravalvular leak. Demonstrating the predicted degree of paravalvular leak with each valve modelled and depth of implantation in millilitres per second. EPRO, Evolut PRO; CVER, Evolut R; EPPL, Evolut PRO+; H, high; M, medium. This result was discussed at the heart team and with the patient. Given symptom severity, it was decided to implant the 34 mm PRO+ device at medium depth. The procedure was performed under local anaesthetic and TAVR access obtained via the right femoral artery. The mean aortic gradient was 50 mmHg. We undertook pre-dilatation with a 20 mm balloon. The valve was implanted, requiring three recapture redeployments to obtain the required target depth. Post-procedure analysis shows the valve deployed at 3 mm below the non-coronary cusp. Angiographically, there was mild PVL (). Transcatheter aortic valve implantation procedure: (A) initial aortogram, (B) valve deployment, and (C) the final deployed valve result. Echocardiography showed an unchanged moderate-to-severe impaired left ventricle in addition to mild-to-moderate posterior PVL. There was no post-TAVR conduction abnormality. The patient’s post-procedural recovery was uneventful. Eight weeks post procedure, she had resumed her usual activities and routine with no breathlessness or oedema.

Discussion

Multiple published and well-used algorithmic approaches exist including Calcium Algorithm Sizing for bicusPid Evaluation with Raphe (CASPER), supra-annular BAV anatomy and Relationship with Devices (BAVARD), and Level of Implantation at the RAphe (LIRA).[7-9] Using traditional annular sizing at the time of this patient’s treatment would have resulted in implantation of the 34 mm Evolut R-valve, with predicted severe PVL. The BAVARD method compares annular sizing against supra-annular inter-commissural distance at 4 mm. CASPER modifies annular measurements dependent upon calcification and raphe length. LIRA takes the smallest measurement of either annulus or supra-annular plane at raphe level. These would yield 34, 29, and 29 mm Evolut valves, respectively (). The 29 mm Evolut PRO valve was predicted to yield more than mild PVL. Panel A shows the BAVARD approach. The inter-commissural distance measured 28.0 mm, with an annular plane perimeter-derived diameter of 26.4 mm. This is a flare configuration and sizing should be based on the annulus, leading to a 34 mm valve. Panel B demonstrates Significant calcification, measured at 850 HU of 862 mm3. The raphe length is 12.9 mm with perimeter-derived diameter of 26.4 mm, this is <50%. There is also calcium present on the raphe site leading to a detraction of 1.5 mm with a resulting derived diameter of 24.9 mm, this would recommend a 29 mm valve. Panel C shows the LIRA perimeter of 74.8 mm and derived diameter of 23.8 mm. This would recommend a 29 mm valve. Given the presence of LVOT calcium, our practice is to use self-expanding valves. In addition to the sizing guide provided by the BAVARD, CASPER, and LIRA methods, the HEARTguide platform enables valve modelling at different heights to achieve the optimal result. Our group has previously published extensively the nature of this modelling. In summary, the finite-element model is based upon the cardiac and aortographic CT scan. Different structures are allocated different material properties. The finite-element analysis currently provides information on the interaction between native anatomy and valve, estimated PVL, and risk of conduction abnormality—either left bundle branch block or complete heart block. We have then used this information as a tool to guide both TAVR size and position to achieve a good clinical result.[10] A potential benefit of modelling over algorithms could be the ability to rapidly evolve as new valve models become available, whereas adapting an algorithm could be more laborious. Without the guidance provided by modelling, it is likely that this patient would have undergone implantation of the Evolut R 34 mm valve. If the model is correct, the patient may have had significant aortic regurgitation and a suboptimal TAVI outcome.

Conclusion

In this case, using pre-procedural modelling in addition to CT-derived measurements, we were able to select a valve size and model that performed well. The valve size was different to that suggested by the CASPER and LIRA methods. The model in this case has been shown to be safe and to accurately predict the result in a difficult, severely calcified BAV. The additional information provided with modelling could allow for a more patient-specific, tailored discussion at heart team meetings. The performance of the HEARTguide against the algorithm approach could be evaluated in further studies. Click here for additional data file.
Index dateAdmission to local hospital, new diagnosis of severe aortic stenosis, lasting 10 days, and requiring intra venous diuretics. Discharged home for outpatient assessment
5 weeksTAVR CT
6 weeksDiagnostic coronary angiogram—minimal atheroma only
8 weeksHeart team meeting—initial modelling with predicted poor result with 29 mm PRO and 34 mm R valves
10 weeksRepeat procedural modelling—34 mm PRO+ predicts, mild PVL. Heart team and patient decision to proceed
12 weeksCompleted transcatheter aortic valve replacement (TAVR) procedure—34 mm PRO+ valve implanted at medium depth. Resulting echocardiographic mild-to-moderate PVL
20 weeksUneventful recovery with resumption of usual activities and routine with no breathlessness or oedema
  10 in total

1.  A classification system for the bicuspid aortic valve from 304 surgical specimens.

Authors:  Hans-H Sievers; Claudia Schmidtke
Journal:  J Thorac Cardiovasc Surg       Date:  2007-05       Impact factor: 5.209

2.  Bicuspid Aortic Valve Anatomy and Relationship With Devices: The BAVARD Multicenter Registry.

Authors:  Didier Tchetche; Chiara de Biase; Lennart van Gils; Radoslaw Parma; Andrzej Ochala; Thierry Lefevre; Thomas Hovasse; Ole De Backer; Lars Sondergaard; Sabine Bleiziffer; Rudiger Lange; Ran Kornowski; Uri Landes; Bjarne Linde Norgaard; Luigi Biasco; Raphaël Philippart; Javier Molina-Martin de Nicolas; Darren Mylotte; Caroline Lemee; Nicolas Dumonteil; Nicolas M Van Mieghem
Journal:  Circ Cardiovasc Interv       Date:  2019-01       Impact factor: 6.546

3.  Bicuspid aortic valve sizing for transcatheter aortic valve implantation: Development and validation of an algorithm based on multi-slice computed tomography.

Authors:  Anna S Petronio; Marco Angelillis; Ole De Backer; Cristina Giannini; Giulia Costa; Claudia Fiorina; Fausto Castriota; Francesco Bedogni; Jean C Laborde; Lars Søndergaard
Journal:  J Cardiovasc Comput Tomogr       Date:  2020-01-25

4.  Supra-annular sizing of transcatheter aortic valve prostheses in raphe-type bicuspid aortic valve disease: the LIRA method.

Authors:  Gianmarco Iannopollo; Vittorio Romano; Nicola Buzzatti; Marco Ancona; Luca Ferri; Filippo Russo; Barbara Bellini; Juan F Granada; Alaide Chieffo; Matteo Montorfano
Journal:  Int J Cardiol       Date:  2020-05-28       Impact factor: 4.164

5.  2021 ESC/EACTS Guidelines for the management of valvular heart disease.

Authors:  Alec Vahanian; Friedhelm Beyersdorf; Fabien Praz; Milan Milojevic; Stephan Baldus; Johann Bauersachs; Davide Capodanno; Lenard Conradi; Michele De Bonis; Ruggero De Paulis; Victoria Delgado; Nick Freemantle; Martine Gilard; Kristina H Haugaa; Anders Jeppsson; Peter Jüni; Luc Pierard; Bernard D Prendergast; J Rafael Sádaba; Christophe Tribouilloy; Wojtek Wojakowski
Journal:  Eur Heart J       Date:  2022-02-12       Impact factor: 35.855

Review 6.  STS-ACC TVT Registry of Transcatheter Aortic Valve Replacement.

Authors:  John D Carroll; Michael J Mack; Sreekanth Vemulapalli; Howard C Herrmann; Thomas G Gleason; George Hanzel; G Michael Deeb; Vinod H Thourani; David J Cohen; Nimesh Desai; Ajay J Kirtane; Susan Fitzgerald; Joan Michaels; Carole Krohn; Frederick A Masoudi; Ralph G Brindis; Joseph E Bavaria
Journal:  J Am Coll Cardiol       Date:  2020-11-24       Impact factor: 24.094

7.  Challenges of recognizing bicuspid aortic valve in elderly patients undergoing TAVR.

Authors:  Won-Keun Kim; Christoph Liebetrau; Ulrich Fischer-Rasokat; Matthias Renker; Andreas Rolf; Mirko Doss; Helge Möllmann; Holger Nef; Thomas Walther; Christian W Hamm
Journal:  Int J Cardiovasc Imaging       Date:  2019-10-05       Impact factor: 2.357

8.  2020 ACC/AHA Guideline for the Management of Patients With Valvular Heart Disease: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines.

Authors:  Catherine M Otto; Rick A Nishimura; Robert O Bonow; Blase A Carabello; John P Erwin; Federico Gentile; Hani Jneid; Eric V Krieger; Michael Mack; Christopher McLeod; Patrick T O'Gara; Vera H Rigolin; Thoralf M Sundt; Annemarie Thompson; Christopher Toly
Journal:  Circulation       Date:  2020-12-17       Impact factor: 29.690

  10 in total

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