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Melki L, Tourni M, Wang DY, Weber R, Wan EY, Konofagou EE. A new Electromechanical Wave Imaging dispersion metric for the characterization of ventricular activation in different Cardiac Resynchronization Therapy pacing schemes. IEEE Trans Biomed Eng 2022; 70:853-859. [PMID: 36049009 PMCID: PMC9975111 DOI: 10.1109/tbme.2022.3203653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Conventional biventricular (BiV) pacing cardiac resynchronization therapy (CRT) is an established treatment for heart failure patients. Recently, multiple novel CRT delivering technologies such as His-Bundle pacing have been investigated as alternative pacing strategies for optimal treatment benefit. Electromechanical Wave Imaging (EWI), a high frame-rate echocardiography-based modality, is capable of visualizing the change from dyssynchronous activation to resynchronized BiV-paced ventricles in 3D. This proof-of-concept study introduces a new EWI-based dispersion metric to further characterize ventricular activation. Patients with His-Bundle device implantation (n=4), left-bundle branch block (n=10), right-ventricular (RV) pacing (n=10), or BiV pacing (n=15) were imaged, as well as four volunteers in normal sinus rhythm (NSR). EWI successfully mapped the ventricular activation resulting from His-Bundle pacing. Additionally, very similar activation patterns were obtained in the NSR subjects, confirming recovery of physiological activation with His pacing. The dispersion metric was the most sensitive EWI-based metric that identified His pacing as the most efficient treatment (lowest activation time spread), followed by BiV and RV pacing. More specifically, the dispersion metric significantly (p 0.005) distinguished His pacing from the other two pacing schemes as well as LBBB. The initial findings presented herein indicate that EWI and its new dispersion metric may provide a useful resynchronization evaluation clinical tool in CRT patients under both novel His-Bundle pacing and more conventional BiV pacing strategies.
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Affiliation(s)
| | | | - Daniel Y. Wang
- Department of Medicine, Division of Cardiology, Columbia University
| | - Rachel Weber
- Department of Biomedical Engineering, Columbia University
| | - Elaine Y. Wan
- Department of Medicine, Division of Cardiology, Columbia University
| | - Elisa E. Konofagou
- Biomedical Engineering and Radiology Departments, Columbia University, New York, NY 10032 USA
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Fan L, Choy JS, Raissi F, Kassab GS, Lee LC. Optimization of cardiac resynchronization therapy based on a cardiac electromechanics-perfusion computational model. Comput Biol Med 2022; 141:105050. [PMID: 34823858 PMCID: PMC8810745 DOI: 10.1016/j.compbiomed.2021.105050] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 11/10/2021] [Accepted: 11/15/2021] [Indexed: 02/03/2023]
Abstract
Cardiac resynchronization therapy (CRT) is an established treatment for left bundle branch block (LBBB) resulting in mechanical dyssynchrony. Approximately 1/3 of patients with CRT, however, are non-responders. To understand factors affecting CRT response, an electromechanics-perfusion computational model based on animal-specific left ventricular (LV) geometry and coronary vascular networks located in the septum and LV free wall is developed. The model considers contractility-flow and preload-activation time relationships, and is calibrated to simultaneously match the experimental measurements in terms of the LV pressure, volume waveforms and total coronary flow in the left anterior descending and left circumflex territories from 2 swine models under right atrium and right ventricular pacing. The model is then applied to investigate the responses of CRT indexed by peak LV pressure and (dP/dt)max at multiple pacing sites with different degrees of perfusion in the LV free wall. Without the presence of ischemia, the model predicts that basal-lateral endocardial region is the optimal pacing site that can best improve (dP/dt)max by 20%, and is associated with the shortest activation time. In the presence of ischemia, a non-ischemic region becomes the optimal pacing site when coronary flow in the ischemic region fell below 30% of its original value. Pacing at the ischemic region produces little response at that perfusion level. The optimal pacing site is associated with one that optimizes the LV activation time. These findings suggest that CRT response is affected by both pacing site and coronary perfusion, which may have clinical implication in improving CRT responder rates.
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Affiliation(s)
- Lei Fan
- Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.
| | - Jenny S Choy
- California Medical Innovations Institute, San Diego, CA, USA
| | - Farshad Raissi
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | | | - Lik Chuan Lee
- Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA
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3
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Mehta VS, Elliott MK, Sidhu BS, Gould J, Porter B, Niederer S, Rinaldi CA. Multipoint pacing for cardiac resynchronisation therapy in patients with heart failure: A systematic review and meta-analysis. J Cardiovasc Electrophysiol 2021; 32:2577-2589. [PMID: 34379350 PMCID: PMC7617165 DOI: 10.1111/jce.15199] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/02/2021] [Accepted: 07/20/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Multipoint pacing (MPP) has been proposed as an effective way to improve cardiac resynchronisation therapy (CRT) response. We performed a systematic review and meta-analysis evaluating the efficacy of CRT delivered via MPP compared to conventional CRT. METHODS A literature search was performed from inception to January 2021 for studies in Medline, Embase and Cochrane databases, comparing MPP to conventional CRT with a minimum of 6 months follow-up. Randomised and nonrandomised studies were assessed for relevant efficacy data including echocardiographic (left ventricular end systolic volume [LVESV] and ejection fraction) or functional changes (New York Heart Association [NYHA] class/Clinical Composite Score). Subgroup analyses were performed by study design and programming type. RESULTS A total of 7 studies with a total of 1390 patients were included in the final analysis. Overall, MPP demonstrated greater echocardiographic improvement than conventional CRT in nonrandomised studies (odds ratio [OR]: 5.33, 95% confidence interval [CI]: [3.05-9.33], p < .001), however, was not significant in randomised studies (OR: 1.86, 95% CI: [0.91-3.79], p = .086). There was no significant difference in LVESV reduction >15% (OR: 1.96, 95% CI: [0.69-5.55], p = .20) or improvement by ≥1 NYHA class (OR: 2.49, 95% CI: [0.74-8.42], p = .141) when comparing MPP to conventional CRT. In a sub analysis, MPP programmed by widest anatomical separation (MPP-AS) signalled greater efficacy, however, only 120 patients were included in this analysis. CONCLUSION Overall MPP was more efficacious in nonrandomised studies, and not superior when assessed in randomised studies. There was considerable heterogeneity in study design making overall interpretation of results challenging. Widespread MPP programming in all CRT patients is currently not justified. Further large, randomised studies with patient-specific programming may clarify its effectiveness.
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Affiliation(s)
- Vishal S Mehta
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Department of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Mark K Elliott
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Department of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Baldeep S Sidhu
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Department of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Justin Gould
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Department of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Bradley Porter
- Department of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Steven Niederer
- Department of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Christopher A Rinaldi
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Department of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
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4
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Dell'Era G, Gravellone M, Scacchi S, Franzone PC, Pavarino LF, Boggio E, Prenna E, De Vecchi F, Occhetta E, Devecchi C, Patti G. A clinical-in silico study on the effectiveness of multipoint bicathodic and cathodic-anodal pacing in cardiac resynchronization therapy. Comput Biol Med 2021; 136:104661. [PMID: 34332350 DOI: 10.1016/j.compbiomed.2021.104661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 07/16/2021] [Accepted: 07/16/2021] [Indexed: 11/18/2022]
Abstract
Up to one-third of patients undergoing cardiac resynchronization therapy (CRT) are nonresponders. Multipoint bicathodic and cathodic-anodal left ventricle (LV) stimulations could overcome this clinical challenge, but their effectiveness remains controversial. Here we evaluate the performance of such stimulations through both in vivo and in silico experiments, the latter based on computer electromechanical modeling. Seven patients, all candidates for CRT, received a quadripolar LV lead. Four stimulations were tested: right ventricular (RVS); conventional single point biventricular (S-BS); multipoint biventricular bicathodic (CC-BS) and multipoint biventricular cathodic-anodal (CA-BS). The following parameters were processed: QRS duration; maximal time derivative of arterial pressure (dPdtmax); systolic arterial pressure (Psys); and stroke volume (SV). Echocardiographic data of each patient were then obtained to create an LV geometric model. Numerical simulations were based on a strongly coupled Bidomain electromechanical coupling model. Considering the in vivo parameters, when comparing S-BS to RVS, there was no significant decrease in SV (from 45 ± 11 to 44 ± 20 ml) and 6% and 4% increases of dPdtmax and Psys, respectively. Focusing on in silico parameters, with respect to RVS, S-BS exhibited a significant increase of SV, dPdtmax and Psys. Neither the in vivo nor in silico results showed any significant hemodynamic and electrical difference among S-BS, CC-BS and CA-BS configurations. These results show that CC-BS and CA-BS yield a comparable CRT performance, but they do not always yield improvement in terms of hemodynamic parameters with respect to S-BS. The computational results confirmed the in vivo observations, thus providing theoretical support to the clinical experiments.
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Affiliation(s)
- G Dell'Era
- Cardiologia 1, Azienda Ospedaliera Universitaria "Maggiore Della Carità", Novara, Italy
| | - M Gravellone
- Divisione di Cardiologia, Ospedale Degli Infermi, Biella, Italy
| | - S Scacchi
- Dipartimento di Matematica, Università Degli Studi di Milano, Via Saldini 50, 20133, Milano, Italy.
| | - P Colli Franzone
- Dipartimento di Matematica, Università Degli Studi di Pavia, Via Ferrata 1, 27100, Pavia, Italy
| | - L F Pavarino
- Dipartimento di Matematica, Università Degli Studi di Pavia, Via Ferrata 1, 27100, Pavia, Italy
| | - E Boggio
- Divisione di Cardiologia, Ospedale Degli Infermi, Biella, Italy
| | - E Prenna
- Cardiologia 1, Azienda Ospedaliera Universitaria "Maggiore Della Carità", Novara, Italy
| | - F De Vecchi
- Divisione di Cardiologia, Ospedale Sant'Andrea, Vercelli, Italy
| | - E Occhetta
- Divisione di Cardiologia, Ospedale Sant'Andrea, Vercelli, Italy
| | - C Devecchi
- Divisione di Cardiologia, Ospedale Sant'Andrea, Vercelli, Italy
| | - G Patti
- Cardiologia 1, Azienda Ospedaliera Universitaria "Maggiore Della Carità", Novara, Italy; Dipartimento di Medicina Traslazionale, Università Del Piemonte Orientale, Novara, Italy
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Albatat M, Arevalo H, Bergsland J, Strøm V, Balasingham I, Odland HH. Optimal pacing sites in cardiac resynchronization by left ventricular activation front analysis. Comput Biol Med 2020; 128:104159. [PMID: 33301952 DOI: 10.1016/j.compbiomed.2020.104159] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 11/14/2020] [Accepted: 11/29/2020] [Indexed: 10/22/2022]
Abstract
Cardiac resynchronization therapy (CRT) can substantially improve dyssynchronous heart failure and reduce mortality. However, about one-third of patients who are implanted, derive no measurable benefit from CRT. Non-response may partly be due to suboptimal activation of the left ventricle (LV) caused by electrophysiological heterogeneities. The goal of this study is to investigate the performance of a newly developed method used to analyze electrical wavefront propagation in a heart model including myocardial scar and compare this to clinical benchmark studies. We used computational models to measure the maximum activation front (MAF) in the LV during different pacing scenarios. Different heart geometries and scars were created based on cardiac MR images of three patients. The right ventricle (RV) was paced from the apex and the LV was paced from 12 different sites, single site, dual-site and triple site. Our results showed that for single LV site pacing, the pacing site with the largest MAF corresponded with the latest activated regions of the LV demonstrated during RV pacing, which also agrees with previous markers used for predicting optimal single-site pacing location. We then demonstrated the utility of MAF in predicting optimal electrode placements in more complex scenarios including scar and multi-site LV pacing. This study demonstrates the potential value of computational simulations in understanding and planning CRT.
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Affiliation(s)
- Mohammad Albatat
- Intervention Centre, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Hermenegild Arevalo
- Department of Computational Physiology, Simula Research Laboratory, Fornebu, Norway
| | | | - Vilde Strøm
- Department of Computational Physiology, Simula Research Laboratory, Fornebu, Norway
| | - Ilangko Balasingham
- Intervention Centre, Oslo University Hospital, Oslo, Norway; Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway
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Albatat M, Bergsland J, Arevalo H, Odland HH, Wall S, Sundnes J, Balasingham I. Multisite pacing and myocardial scars: a computational study. Comput Methods Biomech Biomed Engin 2020; 23:248-260. [PMID: 31958019 DOI: 10.1080/10255842.2020.1711885] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Cardiac resynchronization therapy (CRT) is a frequently effective treatment modality for dyssynchronous heart failure, however, 30% of patients do not respond, usually due to suboptimal activation of the left ventricle (LV). Multisite pacing (MSP) may increase the response rate, but its effect in the presence of myocardial scars is not fully understood. We use a computational model to study the outcome of MSP in an LV with scars in two different locations and of two different sizes. The LV was stimulated from anterior, posterior and lateral locations individually and in pairs, while a septal stimulation site represented right ventricular (RV) pacing. Intraventricular pressures were measured, and outcomes evaluated in terms of maximum LV pressure gradient (dP/dtmax)- change compared to isolated RV pacing. The best result obtained using various LV pacing locations included a combination of sites remote from scars and the septum. The highest dP/dtmax increase was achieved, regardless of scar size, using MSP with one pacing site located on the LV free wall opposite to the scar and one site opposite to the septum. These in silico modelling results suggest that making placement of pacing electrodes dependent on location of scarring, may alter acute haemodynamics and that such modelling may contribute to future CRT optimization.
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Affiliation(s)
| | | | - Hermenegild Arevalo
- Department of Computational Physiology, Simula Research Laboratory, Fornebu, Norway
| | | | - Samuel Wall
- Department of Computational Physiology, Simula Research Laboratory, Fornebu, Norway
| | - Joakim Sundnes
- Department of Computational Physiology, Simula Research Laboratory, Fornebu, Norway
| | - Ilangko Balasingham
- Intervention Centre, Oslo University Hospital, Oslo, Norway.,Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway
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Pereira H, Jackson TA, Claridge S, Yao C, Sieniewicz B, Gould J, Sidhu B, Niederer S, Rinaldi CA. Evidence of reverse electrical remodelling by non-invasive electrocardiographic imaging to assess acute and chronic changes in bulk ventricular activation following cardiac resynchronisation therapy. J Electrocardiol 2020; 58:96-102. [DOI: 10.1016/j.jelectrocard.2019.11.051] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 11/14/2019] [Accepted: 11/23/2019] [Indexed: 10/25/2022]
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8
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Technological and Clinical Challenges in Lead Placement for Cardiac Rhythm Management Devices. Ann Biomed Eng 2019; 48:26-46. [DOI: 10.1007/s10439-019-02376-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 09/25/2019] [Indexed: 01/29/2023]
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9
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Comparison of Echocardiographic and Electrocardiographic Mapping for Cardiac Resynchronisation Therapy Optimisation. Cardiol Res Pract 2019; 2019:4351693. [PMID: 30918721 PMCID: PMC6409049 DOI: 10.1155/2019/4351693] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 11/06/2018] [Accepted: 11/14/2018] [Indexed: 11/17/2022] Open
Abstract
Study hypothesis We sought to investigate the association between echocardiographic optimisation and ventricular activation time in cardiac resynchronisation therapy (CRT) patients, obtained through the use of electrocardiographic mapping (ECM). We hypothesised that echocardiographic optimisation of the pacing delay between the atrial and ventricular leads-atrioventricular delay (AVD)-and the delay between ventricular leads-interventricular pacing interval (VVD)-would correlate with reductions in ventricular activation time. Background Optimisation of AVD and VVD may improve CRT patient outcome. Optimal delays are currently set based on echocardiographic indices; however, acute studies have found that reductions in bulk ventricular activation time correlate with improvements in acute haemodynamic performance. Materials and methods Twenty-one patients with established CRT criteria were recruited. After implantation, patients underwent echo-guided optimisation of the AVD and VVD. During this procedure, the participants also underwent noninvasive ECM. ECM maps were constructed for each AVD and VVD. ECM maps were analysed offline. Total ventricular activation time (TVaT) and a ventricular activation time index (VaT10-90) were calculated to identify the optimal AVD and VVD timings that gave the minimal TVaT and VaT10-90 values. We correlated cardiac output with these electrical timings. Results Echocardiographic programming optimisation was not associated with the greatest reductions in biventricular activation time (VaT10-90 and TVaT). Instead, bulk activation times were reduced by a further 20% when optimised with ECM. A significant inverse correlation was identified between reductions in bulk ventricular activation time and improvements in LVOT VTI (p < 0.001), suggesting that improved ventricular haemodynamics are a sequelae of more rapid ventricular activation. Conclusions EAM-guided programming optimisation may achieve superior fusion of activation wave fronts leading to improvements in CRT response.
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Thibault B, Mondésert B, Cadrin-Tourigny J, Dubuc M, Macle L, Khairy P. Benefits of Multisite/Multipoint Pacing to Improve Cardiac Resynchronization Therapy Response. Card Electrophysiol Clin 2019; 11:99-114. [PMID: 30717857 DOI: 10.1016/j.ccep.2018.11.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
This article provides a general overview of the underlying mechanisms that support pacing from more discrete points and/or a wider vector (multisite and multipoint pacing) to improve left ventricular resynchronization. We performed a critical overview of the current literature and to identify some remaining knowledge gaps to spur further research. It was not our goal to provide a systematic review with a comprehensive bibliography, but rather to focus on selected publications that, in our opinion, have either expertly reviewed a specific aspect of cardiac resynchronization therapy or have been landmark studies in the field.
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Affiliation(s)
- Bernard Thibault
- Department of Cardiology, Montréal Heart Institute, University of Montréal, 5000 Bélanger Street, Montréal, Québec, H1T 1C8, Canada.
| | - Blandine Mondésert
- Department of Cardiology, Montréal Heart Institute, University of Montréal, 5000 Bélanger Street, Montréal, Québec, H1T 1C8, Canada
| | - Julia Cadrin-Tourigny
- Department of Cardiology, Montréal Heart Institute, University of Montréal, 5000 Bélanger Street, Montréal, Québec, H1T 1C8, Canada
| | - Marc Dubuc
- Department of Cardiology, Montréal Heart Institute, University of Montréal, 5000 Bélanger Street, Montréal, Québec, H1T 1C8, Canada
| | - Laurent Macle
- Department of Cardiology, Montréal Heart Institute, University of Montréal, 5000 Bélanger Street, Montréal, Québec, H1T 1C8, Canada
| | - Paul Khairy
- Department of Cardiology, Montréal Heart Institute, University of Montréal, 5000 Bélanger Street, Montréal, Québec, H1T 1C8, Canada
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Abstract
The treatment of individual patients in cardiology practice increasingly relies on advanced imaging, genetic screening and devices. As the amount of imaging and other diagnostic data increases, paralleled by the greater capacity to personalize treatment, the difficulty of using the full array of measurements of a patient to determine an optimal treatment seems also to be paradoxically increasing. Computational models are progressively addressing this issue by providing a common framework for integrating multiple data sets from individual patients. These models, which are based on physiology and physics rather than on population statistics, enable computational simulations to reveal diagnostic information that would have otherwise remained concealed and to predict treatment outcomes for individual patients. The inherent need for patient-specific models in cardiology is clear and is driving the rapid development of tools and techniques for creating personalized methods to guide pharmaceutical therapy, deployment of devices and surgical interventions.
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Affiliation(s)
- Steven A Niederer
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
| | - Joost Lumens
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac, France
| | - Natalia A Trayanova
- Department of Biomedical Engineering and the Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
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12
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Weigand S, Karl M, Brkić A, Lennerz C, Grebmer C, Blažek P, Kornmayer M, Schaarschmidt C, Wesemann L, Reents T, Hessling G, Deisenhofer I, Kolb C. The impact of multipole pacing on left ventricular function in patients with cardiac resynchronization therapy - A real-time three-dimensional echocardiography approach. Int J Cardiol 2018; 272:238-243. [PMID: 30121181 DOI: 10.1016/j.ijcard.2018.08.033] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Revised: 07/22/2018] [Accepted: 08/09/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) is standard of care in heart failure (HF), however this technique is associated with a non-responder rate of 30%. Multipole pacing (MPP) with a quadripolar lead may optimize CRT and responder rate by creating two electrical wave fronts in the left ventricular (LV) myocardium simultaneously in order to reduce mechanical dyssynchrony. The objective of this study was to investigate the acute impact of MPP on LV function by assessing systolic dyssynchrony index (SDI) and left ventricular ejection fraction (LVEF) via real-time three-dimensional echocardiography (RT3DE). METHODS In 41 consecutive patients (87.8% male; mean age 66.0 ± 12.7 years) who received CRT defibrillators with a quadripolar LV lead, RT3DE datasets were acquired the day after implantation under the following pacing configurations: Baseline AAI, conventional biventricular pacing using distal or proximal LV poles and MPP. Datasets were analyzed in paired samples evaluating SDI and LVEF depending on programmed pacing modality. RESULTS MPP resulted in statistically significant reduction of SDI compared to baseline (6.3%; IQR 4.4-7.8 and 9.9%; IQR 8.0-12.7; p < 0.001) and to conventional biventricular pacing using distal (7.6%; IQR 6.5-9.1; p < 0.001) or proximal (7.4%; IQR 6.2-8.8; p < 0.001) LV poles respectively. MPP yielded significant increase in LVEF compared to baseline (30.6%; IQR 25.8-37.5 and 27.2%; IQR 21.1-33.6; p < 0.001) and to conventional biventricular pacing configuration with distal (28.1%; IQR 22.1-34.5; p < 0.001) or proximal (28.6%; IQR 23.2-34.9; p < 0.001) LV poles respectively. CONCLUSIONS Multipole pacing improves mechanical dyssynchrony of the left ventricular myocardium as assessed by SDI and LVEF.
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Affiliation(s)
- Severin Weigand
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany.
| | - Michael Karl
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
| | - Amir Brkić
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
| | - Carsten Lennerz
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany; DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Christian Grebmer
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
| | - Patrick Blažek
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
| | - Marielouise Kornmayer
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
| | - Claudia Schaarschmidt
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
| | - Lorraine Wesemann
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
| | - Tilko Reents
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
| | - Gabriele Hessling
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
| | - Isabel Deisenhofer
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
| | - Christof Kolb
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Faculty of Medicine, Technische Universität München, Munich, Germany
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Sieniewicz BJ, Jackson T, Claridge S, Pereira H, Gould J, Sidhu B, Porter B, Niederer S, Yao C, Rinaldi CA. Variation in activation time during bipolar vs extended bipolar left ventricular pacing. J Cardiovasc Electrophysiol 2018; 29:1675-1681. [PMID: 30106206 DOI: 10.1111/jce.13714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 07/19/2018] [Accepted: 08/07/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) is typically delivered via quadripolar leads that allow stimulation using either true bipolar pacing, where stimulation occurs between two electrodes (BP) on the quadripolar lead, or extended bipole (EBP) left ventricular (LV) pacing, with the quadripolar electrodes and right ventricular coil acting as the cathode and anode, respectively. True bipolar pacing is associated with reductions in mortality and it has been postulated that these differences are the result of enhanced electrical activation. MATERIALS AND METHODS Patients undergoing a CRT underwent an electrocardiographic imaging study where electrical activation data were recorded while different LV pacing vectors were temporarily programmed. RESULTS There were no differences in the total electrical activation times or dispersion of electrical activation between biventricular pacing with bipolar or corresponding EBP LV vector configurations (left ventricular total activation time [LVtat] BP 74.70 ± 18.07 vs EBP 72.4 ± 22.64; P = 0.45). When dichotomized according to etiology, no difference was observed in the activation time with either BP or EBP pacing (LVtat BP ischemic cardiomyopathy 72.2 ± 17.4 vs BP dilated cardiomyopathy 79.9 ± 18.9; P = 0.38). CONCLUSIONS Bipolar pacing alters the mechanical activation sequence of the LV and is associated with reductions in all-cause mortality. It has been postulated these benefits derive from improvements in electromechanical activation of the LV. Our study would suggest that true bipolar pacing does not necessarily result in more favorable activation of the LV or improved electrical resynchronization and other mechanisms should be explored.
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Affiliation(s)
- Benjamin J Sieniewicz
- Department of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, UK
| | - Tom Jackson
- Department of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, UK
| | - Simon Claridge
- Department of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, UK
| | - Helder Pereira
- Department of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Justin Gould
- Department of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, UK
| | - Baldeep Sidhu
- Department of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, UK
| | - Bradley Porter
- Department of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, UK
| | - Steve Niederer
- Department of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Cheng Yao
- CardioInsight Technologies, Medtronic, Minneapolis, Minnesota
| | - Christopher A Rinaldi
- Department of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, UK
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14
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van Everdingen WM, Zweerink A, Salden OA, Cramer MJ, Doevendans PA, Engels EB, van Rossum AC, Prinzen FW, Vernooy K, Allaart CP, Meine M. Pressure-Volume Loop Analysis of Multipoint Pacing With a Quadripolar Left Ventricular Lead in Cardiac Resynchronization Therapy. JACC Clin Electrophysiol 2018; 4:881-889. [DOI: 10.1016/j.jacep.2018.02.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 01/31/2018] [Accepted: 02/02/2018] [Indexed: 11/17/2022]
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15
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Halbfass P, Sonne K, Nentwich K, Ene E, Deneke T. Current developments in cardiac rhythm management devices. Clin Res Cardiol 2018; 107:100-104. [PMID: 29951805 DOI: 10.1007/s00392-018-1313-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 06/21/2018] [Indexed: 10/28/2022]
Abstract
Endocardial pacing has experienced a tremendous evolution since the 1960s. A lot of challenges associated with pacemaker and ICD devices have already been successfully targeted. However, a relevant number of problems have not been solved to date. Not all patients with accepted indication for biventricular pacing have benefited from cardiac resynchronisation therapy (CRT) despite extensive efforts to reduce the rate of non-responders. Current strategies to optimize lead position, multipolar left-ventricular (LV) pacing leads, new strategies to gain access to the left-ventricle (atrial transseptal or ventricular transseptal access) or alternative right-ventricular (septal, His bundle pacing) pacing sites, and "leadless" LV pacing have the potential to increase response to device-based heart-failure treatment. The opportunity of pacemaker and ICD remote monitoring led to relevant improvements in therapy management by timely detection of events requiring medical or invasive interventions (e.g., external cardioversion of atrial fibrillation, increasing effective biventricular pacing, catheter ablation of ventricular tachycardias, or changes in heart-failure medication). Two completely endocardial leadless "all-in-one" pacemaker systems recently became available. Besides these innovations, new "synergistic" therapy concepts combining catheter ablation and device therapy proved to affect clinical endpoints (e.g., ATAAC study and CASTLE-AF study).
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Affiliation(s)
- Philipp Halbfass
- Heart Center Bad Neustadt, Clinic for Interventional Electrophysiology, 97616, Bad Neustadt an der Saale, Germany.
| | - Kai Sonne
- Heart Center Bad Neustadt, Clinic for Interventional Electrophysiology, 97616, Bad Neustadt an der Saale, Germany
| | - Karin Nentwich
- Heart Center Bad Neustadt, Clinic for Interventional Electrophysiology, 97616, Bad Neustadt an der Saale, Germany
| | - Elena Ene
- Heart Center Bad Neustadt, Clinic for Interventional Electrophysiology, 97616, Bad Neustadt an der Saale, Germany
| | - Thomas Deneke
- Heart Center Bad Neustadt, Clinic for Interventional Electrophysiology, 97616, Bad Neustadt an der Saale, Germany
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16
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Pereira H, Jackson TA, Sieniewicz B, Gould J, Yao C, Niederer S, Rinaldi CA. Non-invasive electrophysiological assessment of the optimal configuration of quadripolar lead vectors on ventricular activation times. J Electrocardiol 2018; 51:714-719. [PMID: 29997019 DOI: 10.1016/j.jelectrocard.2018.05.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Revised: 04/19/2018] [Accepted: 05/10/2018] [Indexed: 10/16/2022]
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) is now generally delivered via quadripolar leads. Assessment of the effect of different vector programs from quadripolar leads on ventricular activation can be now done using non-invasive electrocardiographic mapping (ECM). MATERIAL AND METHODS In nineteen patients with quadripolar LV leads, activation maps were constructed. The total ventricular activation time (TVaT) and the time for the bulk of ventricular activation (VaT10-90) were calculated. RESULTS CRT delivered via a quadripolar lead significantly reduced TVaT and VaT10-90 by a mean of 16 ms and 31 ms, respectively, compared to baseline. There was a marked reduction in ventricular activation between the most and least synchronous vectors: 28% difference in baseline TVaT and 37% difference in VaT10-90. CONCLUSION Changes in the configuration of an LV quadripolar lead significantly affected ventricular activation timings in both ischaemic and non-ischaemic subjects. This suggests that programming of the optimal pacing vector may need to be individually tailored.
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Affiliation(s)
- Helder Pereira
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
| | - Tom A Jackson
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom; Cardiovascular Department, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Benjamin Sieniewicz
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom; Cardiovascular Department, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Justin Gould
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom; Cardiovascular Department, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | | | - Steven Niederer
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom
| | - Christopher A Rinaldi
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom; Cardiovascular Department, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
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17
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Jackson T, Lenarczyk R, Sterlinski M, Sokal A, Francis D, Whinnett Z, Van Heuverswyn F, Vanderheyden M, Heynens J, Stegemann B, Cornelussen R, Rinaldi CA. Left ventricular scar and the acute hemodynamic effects of multivein and multipolar pacing in cardiac resynchronization. IJC HEART & VASCULATURE 2018; 19:14-19. [PMID: 29946558 PMCID: PMC6016076 DOI: 10.1016/j.ijcha.2018.03.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 03/21/2018] [Indexed: 12/14/2022]
Abstract
Background We sought to determine whether presence, amount and distribution of scar impacts the degree of acute hemodynamic response (AHR) with multisite pacing. Multi-vein pacing (MVP) or multipolar pacing (MPP) with a multi-electrode left ventricular (LV) lead may offer benefits over conventional biventricular pacing in patients with myocardial scar. Methods In this multi-center study left bundle branch block patients underwent an hemodynamic pacing study measuring LV dP/dtmax. Patients had cardiac magnetic resonance scar imaging to assess the effect of scar presence, amount and distribution on AHR. Results 24 patients (QRS 171 ± 20 ms) completed the study (83% male). An ischemic etiology was present in 58% and the mean scar volume was 6.0 ± 7.0%. Overall discounting scar, MPP and MVP showed no significant AHR increase compared to an optimized “best BiV” (BestBiV) site. In a minority of patients (6/24) receiver-operator characteristic analysis of scar volume (cut off 8.48%) predicted a small AHR improvement with MPP (sensitivity 83%, specificity 94%) but not MVP. Patients with scar volume > 8.48% had a MPP-BestBiV of 3 ± 6.3% vs. −6.4 ± 7.7% for those below the cutoff. There was a significant correlation between the difference in AHR and scar volume for MPP-BestBiV (R = 0.49, p = 0.02) but not MVP-BestBiV(R = 0.111, p = 0.62). The multielectrode lead positioned in scar predicted MPP AHR improvement (p = 0.04). Conclusions Multisite pacing with MPP and MVP shows no AHR benefit in all-comers compared to optimized BestBiV pacing. There was a minority of patients with significant scar volume in relation to the LV site that exhibited a small AHR improvement with MPP. (Study identifier NCT01883141)
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Key Words
- AHR, acute hemodynamic response
- Acute hemodynamic response
- BiV, biventricular
- CI, confidence interval
- CMR, cardiac magnetic resonance
- CMR-LGE, cardiac magnetic resonance late gadolinium enhancement
- CRT, cardiac resynchronization therapy
- Cardiac resynchronization therapy
- ECG, electrocardiogram
- HF, heart failure
- LBBB, left bundle branch block
- LV, left ventricular
- Left ventricular scar
- MEL, multielectrode lead
- MPP, multipolar pacing
- MVP, multivein pacing
- Multisite pacing
- OR, odds ratio
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Affiliation(s)
- Tom Jackson
- Department of Cardiology, Guy's & St. Thomas' Hospitals & King's College London, London, United Kingdom
| | - Radoslaw Lenarczyk
- Department of Cardiology, Congenital Heart Diseases and Electrotherapy, Zabrze, Poland
| | | | - Adam Sokal
- Department of Cardiology, Congenital Heart Diseases and Electrotherapy, Zabrze, Poland
| | - Darrell Francis
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Zachary Whinnett
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | | | | | - Joeri Heynens
- Medtronic Inc., Bakken Research Centre, Maastricht, The Netherlands
| | | | | | - Christopher Aldo Rinaldi
- Department of Cardiology, Guy's & St. Thomas' Hospitals & King's College London, London, United Kingdom
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18
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Lee AWC, Costa CM, Strocchi M, Rinaldi CA, Niederer SA. Computational Modeling for Cardiac Resynchronization Therapy. J Cardiovasc Transl Res 2018; 11:92-108. [PMID: 29327314 PMCID: PMC5908824 DOI: 10.1007/s12265-017-9779-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 12/18/2017] [Indexed: 11/21/2022]
Abstract
Cardiac resynchronization therapy (CRT) is an effective treatment for heart failure (HF) patients with an electrical substrate pathology causing ventricular dyssynchrony. However 40-50% of patients do not respond to treatment. Cardiac modeling of the electrophysiology, electromechanics, and hemodynamics of the heart has been used to study mechanisms behind HF pathology and CRT response. Recently, multi-scale dyssynchronous HF models have been used to study optimal device settings and optimal lead locations, investigate the underlying cardiac pathophysiology, as well as investigate emerging technologies proposed to treat cardiac dyssynchrony. However the breadth of patient and experimental data required to create and parameterize these models and the computational resources required currently limits the use of these models to small patient numbers. In the future, once these technical challenges are overcome, biophysically based models of the heart have the potential to become a clinical tool to aid in the diagnosis and treatment of HF.
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Affiliation(s)
- Angela W C Lee
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
| | | | - Marina Strocchi
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | | | - Steven A Niederer
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
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19
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Huntjens PR, Ploux S, Strik M, Walmsley J, Ritter P, Haissaguerre M, Prinzen FW, Delhaas T, Lumens J, Bordachar P. Electrical Substrates Driving Response to Cardiac Resynchronization Therapy. Circ Arrhythm Electrophysiol 2018; 11:e005647. [DOI: 10.1161/circep.117.005647] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 01/22/2018] [Indexed: 11/16/2022]
Affiliation(s)
- Peter R. Huntjens
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiac Electrophysiology and Cardiac Stimulation Team, Bordeaux University Hospital, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, the Netherlands (P.R.H., M.S., J.W., F.W.P., T.D., J.L.)
| | - Sylvain Ploux
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiac Electrophysiology and Cardiac Stimulation Team, Bordeaux University Hospital, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, the Netherlands (P.R.H., M.S., J.W., F.W.P., T.D., J.L.)
| | - Marc Strik
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiac Electrophysiology and Cardiac Stimulation Team, Bordeaux University Hospital, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, the Netherlands (P.R.H., M.S., J.W., F.W.P., T.D., J.L.)
| | - John Walmsley
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiac Electrophysiology and Cardiac Stimulation Team, Bordeaux University Hospital, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, the Netherlands (P.R.H., M.S., J.W., F.W.P., T.D., J.L.)
| | - Philippe Ritter
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiac Electrophysiology and Cardiac Stimulation Team, Bordeaux University Hospital, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, the Netherlands (P.R.H., M.S., J.W., F.W.P., T.D., J.L.)
| | - Michel Haissaguerre
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiac Electrophysiology and Cardiac Stimulation Team, Bordeaux University Hospital, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, the Netherlands (P.R.H., M.S., J.W., F.W.P., T.D., J.L.)
| | - Frits W. Prinzen
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiac Electrophysiology and Cardiac Stimulation Team, Bordeaux University Hospital, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, the Netherlands (P.R.H., M.S., J.W., F.W.P., T.D., J.L.)
| | - Tammo Delhaas
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiac Electrophysiology and Cardiac Stimulation Team, Bordeaux University Hospital, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, the Netherlands (P.R.H., M.S., J.W., F.W.P., T.D., J.L.)
| | - Joost Lumens
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiac Electrophysiology and Cardiac Stimulation Team, Bordeaux University Hospital, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, the Netherlands (P.R.H., M.S., J.W., F.W.P., T.D., J.L.)
| | - Pierre Bordachar
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiac Electrophysiology and Cardiac Stimulation Team, Bordeaux University Hospital, Pessac, France (P.R.H., S.P., M.S., P.R., M.H., J.L., P.B.). Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, the Netherlands (P.R.H., M.S., J.W., F.W.P., T.D., J.L.)
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Trayanova NA, Boyle PM, Nikolov PP. Personalized Imaging and Modeling Strategies for Arrhythmia Prevention and Therapy. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2018; 5:21-28. [PMID: 29546250 PMCID: PMC5847279 DOI: 10.1016/j.cobme.2017.11.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The goal of this article is to review advances in computational modeling of the heart, with a focus on recent non-invasive clinical imaging- and simulation-based strategies aimed at improving the diagnosis and treatment of patients with arrhythmias and structural heart disease. Following a brief overview of the field of computational cardiology, we present recent applications of the personalized virtual-heart approach in predicting the optimal targets for infarct-related ventricular tachycardia and atrial fibrillation ablation, and in determining risk of sudden cardiac death in myocardial infarction patients. The hope is that with such models at the patient bedside, therapies could be improved, invasiveness of diagnostic procedures minimized, and health-care costs reduced.
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Affiliation(s)
- Natalia A Trayanova
- Institute for Computational Medicine and Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD
| | - Patrick M Boyle
- Institute for Computational Medicine and Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD
| | - Plamen P Nikolov
- Institute for Computational Medicine and Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD
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21
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Clinical Applications of Patient-Specific Models: The Case for a Simple Approach. J Cardiovasc Transl Res 2018; 11:71-79. [PMID: 29453747 DOI: 10.1007/s12265-018-9787-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 01/05/2018] [Indexed: 01/08/2023]
Abstract
Over the past several decades, increasingly sophisticated models of the heart have provided important insights into cardiac physiology and are increasingly used to predict the impact of diseases and therapies on the heart. In an era of personalized medicine, many envision patient-specific computational models as a powerful tool for personalizing therapy. Yet the complexity of current models poses important challenges, including identifying model parameters and completing calculations quickly enough for routine clinical use. We propose that early clinical successes are likely to arise from an alternative approach: relatively simple, fast, phenomenologic models with a small number of parameters that can be easily (and automatically) customized. We discuss examples of simple yet foundational models that have already made a tremendous impact on clinical education and practice, and make the case that reducing rather than increasing model complexity may be the key to realizing the promise of patient-specific modeling for clinical applications.
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22
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Niazi I, Baker J, Corbisiero R, Love C, Martin D, Sheppard R, Worley SJ, Varma N, Lee K, Tomassoni G. Safety and Efficacy of Multipoint Pacing in Cardiac Resynchronization Therapy. JACC Clin Electrophysiol 2017; 3:1510-1518. [DOI: 10.1016/j.jacep.2017.06.022] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Revised: 06/23/2017] [Accepted: 06/26/2017] [Indexed: 10/18/2022]
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23
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Auricchio A, Prinzen FW. Enhancing Response in the Cardiac Resynchronization Therapy Patient. JACC Clin Electrophysiol 2017; 3:1203-1219. [DOI: 10.1016/j.jacep.2017.08.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 08/02/2017] [Accepted: 08/10/2017] [Indexed: 12/17/2022]
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24
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Antoniadis AP, Behar JM, Sieniewicz B, Gould J, Niederer S, Rinaldi CA. A comparison of the different features of quadripolar left ventricular pacing leads to deliver cardiac resynchronization therapy. Expert Rev Med Devices 2017; 14:697-706. [PMID: 28835138 DOI: 10.1080/17434440.2017.1369404] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Cardiac Resynchronization therapy (CRT) improves the quality of life and reduces morbidity and mortality of certain patients with heart failure. However, not all patients respond positively after CRT and about one third of cases do not experience benefit. Suboptimal biventricular pacing may account for this and quadripolar left ventricular (LV) leads have emerged in the last years to address issues relating to inadequate delivery of CRT. AREAS COVERED This review article concisely summarizes the main technical characteristics of the quadripolar LV leads either currently available in the market today or under final stages of development. Focus is given in recent advancements in the area and challenging aspects and controversies, future implications as well as opportunities for further development. EXPERT COMMENTARY Quadripolar LV pacing leads have now become the standard of care in CRT. Currently a multitude of lead options is available to the clinician. The selection process of the most appropriate lead is far from the 'one size fits all' concept. Further development of quadripolar LV leads is currently ongoing and it is anticipated to contribute towards the release of more technologically advantageous leads which will enable the delivery of optimal CRT therapy with the lowest rate of complications.
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Affiliation(s)
- Antonios P Antoniadis
- a Cardiovascular Department , Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital , London , UK.,b Department of Biomedical Engineering , King's College London , London , UK
| | - Jonathan M Behar
- a Cardiovascular Department , Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital , London , UK.,b Department of Biomedical Engineering , King's College London , London , UK
| | - Ben Sieniewicz
- a Cardiovascular Department , Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital , London , UK.,b Department of Biomedical Engineering , King's College London , London , UK
| | - Justin Gould
- a Cardiovascular Department , Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital , London , UK.,b Department of Biomedical Engineering , King's College London , London , UK
| | - Steven Niederer
- a Cardiovascular Department , Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital , London , UK.,b Department of Biomedical Engineering , King's College London , London , UK
| | - Christopher A Rinaldi
- a Cardiovascular Department , Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital , London , UK.,b Department of Biomedical Engineering , King's College London , London , UK
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Antoniadis AP, Sieniewicz B, Gould J, Porter B, Webb J, Claridge S, Behar JM, Rinaldi CA. Updates in Cardiac Resynchronization Therapy for Chronic Heart Failure: Review of Multisite Pacing. Curr Heart Fail Rep 2017; 14:376-383. [DOI: 10.1007/s11897-017-0350-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Okada JI, Washio T, Nakagawa M, Watanabe M, Kadooka Y, Kariya T, Yamashita H, Yamada Y, Momomura SI, Nagai R, Hisada T, Sugiura S. Multi-scale, tailor-made heart simulation can predict the effect of cardiac resynchronization therapy. J Mol Cell Cardiol 2017; 108:17-23. [PMID: 28502795 DOI: 10.1016/j.yjmcc.2017.05.006] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 05/09/2017] [Accepted: 05/10/2017] [Indexed: 01/09/2023]
Abstract
BACKGROUND The currently proposed criteria for identifying patients who would benefit from cardiac resynchronization therapy (CRT) still need to be optimized. A multi-scale heart simulation capable of reproducing the electrophysiology and mechanics of a beating heart may help resolve this problem. The objective of this retrospective study was to test the capability of patient-specific simulation models to reproduce the response to CRT by applying the latest multi-scale heart simulation technology. METHODS AND RESULTS We created patient-specific heart models with realistic three-dimensional morphology based on the clinical data recorded before treatment in nine patients with heart failure and conduction block treated by biventricular pacing. Each model was tailored to reproduce the surface electrocardiogram and hemodynamics of each patient in formats similar to those used in clinical practice, including electrocardiography (ECG), echocardiography, and hemodynamic measurements. We then performed CRT simulation on each heart model according to the actual pacing protocol and compared the results with the clinical data. CRT simulation improved the ECG index and diminished wall motion dyssynchrony in each patient. These results, however, did not correlate with the actual response. The best correlation was obtained between the maximum value of the time derivative of ventricular pressure (dP/dtmax) and the clinically observed improvement in the ejection fraction (EF) (r=0.94, p<0.01). CONCLUSIONS By integrating the complex pathophysiology of the heart, patient-specific, multi-scale heart simulation could successfully reproduce the response to CRT. With further verification, this technique could be a useful tool in clinical decision making.
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Affiliation(s)
- Jun-Ichi Okada
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa-shi, Chiba 277-0871, Japan.
| | - Takumi Washio
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa-shi, Chiba 277-0871, Japan
| | - Machiko Nakagawa
- Healthcare System Unit, Fujitsu Ltd., Ota-ku, Tokyo 144-8588, Japan
| | | | | | - Taro Kariya
- Department of Cardiovascular Medicine, School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Hiroshi Yamashita
- Department of Cardiovascular Medicine, School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Yoko Yamada
- Department of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama-shi, Saitama 330-8503, Japan
| | - Shin-Ichi Momomura
- Department of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama-shi, Saitama 330-8503, Japan
| | - Ryozo Nagai
- Department of Cardiovascular Medicine, School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Toshiaki Hisada
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa-shi, Chiba 277-0871, Japan; Healthcare System Unit, Fujitsu Ltd., Ota-ku, Tokyo 144-8588, Japan
| | - Seiryo Sugiura
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa-shi, Chiba 277-0871, Japan
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Cardiac resynchronization therapy in ischemic and non-ischemic cardiomyopathy. J Arrhythm 2017; 33:410-416. [PMID: 29021842 PMCID: PMC5634673 DOI: 10.1016/j.joa.2017.03.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Revised: 03/05/2017] [Accepted: 03/14/2017] [Indexed: 01/06/2023] Open
Abstract
Cardiac resynchronization therapy (CRT) using a biventricular pacing system has been an effective therapeutic strategy in patients with symptomatic heart failure with a reduced left ventricular ejection fraction (LVEF) of 35% or less and a QRS duration of 130 ms or more. The etiology of heart failure can be classified as either ischemic or non-ischemic cardiomyopathy. Ischemic etiology of patients receiving CRT is prevalent predominantly in North America, moderately in Europe, and less so in Japan. CRT reduces mortality similarly in both ischemic and non-ischemic cardiomyopathy, whereas reverse structural left ventricular remodeling occurs more favorably in non-ischemic cardiomyopathy. Because the substrate for ventricular arrhythmias appears to be more severe in cases of ischemic as compared with non-ischemic cardiomyopathy, the use of an implantable cardioverter-defibrillator (ICD) backup method could prolong the long-term survival, especially of patients with ischemic cardiomyopathy, even in the presence of CRT. The aim of this review article is to summarize the effects of CRT on outcomes and the role of ICD backup in ischemic and non-ischemic cardiomyopathy.
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Abstract
Although cardiac resynchronization therapy improves morbidity and mortality in patients with cardiomyopathy, heart failure, and electrical dyssynchrony, the rate of nonresponders using standard indications and implant techniques is still high. Optimal coronary sinus lead positioning is important to increase the chance of successful resynchronization. Patient factors such as cause of heart failure, type of dyssynchrony, scar burden, coronary sinus anatomy, and phrenic nerve capture may affect the efficacy of the therapy. Several modalities are under investigation. Alternative left ventricular lead implantation strategies are occasionally required when the transvenous route is not feasible or would result in a suboptimal lead position.
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Niederer SA, Smith NP. Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between? J Physiol 2016; 594:6849-6863. [PMID: 27121495 PMCID: PMC5134392 DOI: 10.1113/jp272003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2015] [Accepted: 03/13/2016] [Indexed: 02/02/2023] Open
Abstract
Heart disease continues to be a significant clinical problem in Western society. Predictive models and simulations that integrate physiological understanding with patient information derived from clinical data have huge potential to contribute to improving our understanding of both the progression and treatment of heart disease. In particular they provide the potential to improve patient selection and optimisation of cardiovascular interventions across a range of pathologies. Currently a significant proportion of this potential is still to be realised. In this paper we discuss the opportunities and challenges associated with this realisation. Reviewing the successful elements of model translation for biophysically based models and the emerging supporting technologies, we propose three distinct modes of clinical translation. Finally we outline the challenges ahead that will be fundamental to overcome if the ultimate goal of fully personalised clinical cardiac care is to be achieved.
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Affiliation(s)
- Steven A. Niederer
- Department of Biomedical Engineering and Imaging SciencesSt Thomas’ HospitalKing's College LondonThe Rayne Institute4th Floor Lambeth WingLondonSE1 7EHUK
| | - Nic P. Smith
- Department of Biomedical Engineering and Imaging SciencesSt Thomas’ HospitalKing's College LondonThe Rayne Institute4th Floor Lambeth WingLondonSE1 7EHUK
- Engineering School Block 1University of AucklandLevel 5, 20 Symonds StreetAuckland101New Zealand
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30
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Behar JM, Claridge S, Jackson T, Sieniewicz B, Porter B, Webb J, Rajani R, Kapetanakis S, Carr-White G, Rinaldi CA. The role of multi modality imaging in selecting patients and guiding lead placement for the delivery of cardiac resynchronization therapy. Expert Rev Cardiovasc Ther 2016; 15:93-107. [DOI: 10.1080/14779072.2016.1252674] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Jonathan M Behar
- Department of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK
- Department of Cardiology, St. Thomas’ Hospital, London, UK
| | - Simon Claridge
- Department of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK
- Department of Cardiology, St. Thomas’ Hospital, London, UK
| | - Tom Jackson
- Department of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK
- Department of Cardiology, St. Thomas’ Hospital, London, UK
| | - Ben Sieniewicz
- Department of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK
- Department of Cardiology, St. Thomas’ Hospital, London, UK
| | - Bradley Porter
- Department of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK
- Department of Cardiology, St. Thomas’ Hospital, London, UK
| | - Jessica Webb
- Department of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK
- Department of Cardiology, St. Thomas’ Hospital, London, UK
| | - Ronak Rajani
- Department of Cardiology, St. Thomas’ Hospital, London, UK
| | | | | | - Christopher A Rinaldi
- Department of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK
- Department of Cardiology, St. Thomas’ Hospital, London, UK
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Sterliński M, Sokal A, Lenarczyk R, Van Heuverswyn F, Rinaldi CA, Vanderheyden M, Khalameizer V, Francis D, Heynens J, Stegemann B, Cornelussen R. In Heart Failure Patients with Left Bundle Branch Block Single Lead MultiSpot Left Ventricular Pacing Does Not Improve Acute Hemodynamic Response To Conventional Biventricular Pacing. A Multicenter Prospective, Interventional, Non-Randomized Study. PLoS One 2016; 11:e0154024. [PMID: 27124724 PMCID: PMC4849737 DOI: 10.1371/journal.pone.0154024] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Accepted: 04/06/2016] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Recent efforts to increase CRT response by multiSPOT pacing (MSP) from multiple bipols on the same left ventricular lead are still inconclusive. AIM The Left Ventricular (LV) MultiSPOTpacing for CRT (iSPOT) study compared the acute hemodynamic response of MSP pacing by using 3 electrodes on a quadripolar lead compared with conventional biventricular pacing (BiV). METHODS Patients with left bundle branch block (LBBB) underwent an acute hemodynamic study to determine the %change in LV+dP/dtmax from baseline atrial pacing compared to the following configurations: BiV pacing with the LV lead in a one of lateral veins, while pacing from the distal, mid, or proximal electrode and all 3 electrodes together (i.e. MSP). All measurements were repeated 4 times at 5 different atrioventricular delays. We also measured QRS-width and individual Q-LV durations. RESULTS Protocol was completed in 24 patients, all with LBBB (QRS width 171±20 ms) and 58% ischemic aetiology. The percentage change in LV+dP/dtmax for MSP pacing was 31.0±3.3% (Mean±SE), which was not significantly superior to any BiV pacing configuration: 28.9±3.2% (LV-distal), 28.3±2.7% (LV-mid), and 29.5±3.0% (LV-prox), respectively. Correlation between LV+dP/dtmax and either QRS-width or Q-LV ratio was poor. CONCLUSIONS In patients with LBBB MultiSPOT LV pacing demonstrated comparable improvement in contractility to best conventional BiV pacing. Optimization of atrioventricular delay is important for the best performance for both BiV and MultiSPOT pacing configurations. TRIAL REGISTRATION ClinicalTrials.gov NTC01883141.
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Affiliation(s)
- Maciej Sterliński
- The Second Department of Coronary Artery Disease, Institute of Cardiology, Warsaw, Poland
- * E-mail:
| | - Adam Sokal
- Department of Cardiology,Congenital Heart Diseases and Electrotherapy Silesian Center of Heart Disease, Zabrze, Poland
| | - Radosław Lenarczyk
- Department of Cardiology,Congenital Heart Diseases and Electrotherapy Silesian Center of Heart Disease, Zabrze, Poland
| | | | - C. Aldo Rinaldi
- Guys and St Thomas NHS Trust, St Thomas Hospital, London, England
| | | | | | - Darrel Francis
- Faculty of Medicine, Imperial College Healthcare NHS Trust, London, England
| | - Joeri Heynens
- Bakken Research Center, Medtronic, Maastricht, The Netherlands
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Panthee N, Okada JI, Washio T, Mochizuki Y, Suzuki R, Koyama H, Ono M, Hisada T, Sugiura S. Tailor-made heart simulation predicts the effect of cardiac resynchronization therapy in a canine model of heart failure. Med Image Anal 2016; 31:46-62. [PMID: 26973218 DOI: 10.1016/j.media.2016.02.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 02/12/2016] [Accepted: 02/15/2016] [Indexed: 11/25/2022]
Abstract
Despite extensive studies on clinical indices for the selection of patient candidates for cardiac resynchronization therapy (CRT), approximately 30% of selected patients do not respond to this therapy. Herein, we examined whether CRT simulations based on individualized realistic three-dimensional heart models can predict the therapeutic effect of CRT in a canine model of heart failure with left bundle branch block. In four canine models of failing heart with dyssynchrony, individualized three-dimensional heart models reproducing the electromechanical activity of each animal were created based on the computer tomographic images. CRT simulations were performed for 25 patterns of three ventricular pacing lead positions. Lead positions producing the best and the worst therapeutic effects were selected in each model. The validity of predictions was tested in acute experiments in which hearts were paced from the sites identified by simulations. We found significant correlations between the experimentally observed improvement in ejection fraction (EF) and the predicted improvements in ejection fraction (P<0.01) or the maximum value of the derivative of left ventricular pressure (P<0.01). The optimal lead positions produced better outcomes compared with the worst positioning in all dogs studied, although there were significant variations in responses. Variations in ventricular wall thickness among the dogs may have contributed to these responses. Thus CRT simulations using the individualized three-dimensional heart models can predict acute hemodynamic improvement, and help determine the optimal positions of the pacing lead.
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Affiliation(s)
- Nirmal Panthee
- Department of Cardiac Surgery, School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655 Japan
| | - Jun-ichi Okada
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, 178-4-4 Wakashiba, Kashiwa, Chiba, 277-0871 Japan; UT-Heart Inc. 3-25-8 Nozawa, Setagaya-ku, Tokyo 154-0003 Japan
| | - Takumi Washio
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, 178-4-4 Wakashiba, Kashiwa, Chiba, 277-0871 Japan; UT-Heart Inc. 3-25-8 Nozawa, Setagaya-ku, Tokyo 154-0003 Japan
| | - Youhei Mochizuki
- Laboratory of Veterinary Internal Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino-shi, Tokyo 180-8602 Japan
| | - Ryohei Suzuki
- Laboratory of Veterinary Internal Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino-shi, Tokyo 180-8602 Japan
| | - Hidekazu Koyama
- Laboratory of Veterinary Internal Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino-shi, Tokyo 180-8602 Japan
| | - Minoru Ono
- Department of Cardiac Surgery, School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655 Japan
| | - Toshiaki Hisada
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, 178-4-4 Wakashiba, Kashiwa, Chiba, 277-0871 Japan; UT-Heart Inc. 3-25-8 Nozawa, Setagaya-ku, Tokyo 154-0003 Japan
| | - Seiryo Sugiura
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, 178-4-4 Wakashiba, Kashiwa, Chiba, 277-0871 Japan; UT-Heart Inc. 3-25-8 Nozawa, Setagaya-ku, Tokyo 154-0003 Japan.
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34
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Crozier A, Augustin CM, Neic A, Prassl AJ, Holler M, Fastl TE, Hennemuth A, Bredies K, Kuehne T, Bishop MJ, Niederer SA, Plank G. Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling. Ann Biomed Eng 2016. [PMID: 26424476 DOI: 10.1007/sl0439-015-1474-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Computational models of cardiac electromechanics (EM) are increasingly being applied to clinical problems, with patient-specific models being generated from high fidelity imaging and used to simulate patient physiology, pathophysiology and response to treatment. Current structured meshes are limited in their ability to fully represent the detailed anatomical data available from clinical images and capture complex and varied anatomy with limited geometric accuracy. In this paper, we review the state of the art in image-based personalization of cardiac anatomy for biophysically detailed, strongly coupled EM modeling, and present our own tools for the automatic building of anatomically and structurally accurate patient-specific models. Our method relies on using high resolution unstructured meshes for discretizing both physics, electrophysiology and mechanics, in combination with efficient, strongly scalable solvers necessary to deal with the computational load imposed by the large number of degrees of freedom of these meshes. These tools permit automated anatomical model generation and strongly coupled EM simulations at an unprecedented level of anatomical and biophysical detail.
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Affiliation(s)
- A Crozier
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - C M Augustin
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - A Neic
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - A J Prassl
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - M Holler
- Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria
| | - T E Fastl
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - A Hennemuth
- Modeling and Simulation Group, Fraunhofer MEVIS, Bremen, Germany
| | - K Bredies
- Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria
| | - T Kuehne
- Non-Invasive Cardiac Imaging in Congenital Heart Disease Unit, Charité-Universitätsmedizin, Berlin, Germany
- German Heart Institute, Berlin, Germany
| | - M J Bishop
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - S A Niederer
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - G Plank
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria.
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Umar F, Taylor RJ, Stegemann B, Marshall H, Flannigan S, Lencioni M, De Bono J, Griffith M, Leyva F. Haemodynamic effects of cardiac resynchronization therapy using single-vein, three-pole, multipoint left ventricular pacing in patients with ischaemic cardiomyopathy and a left ventricular free wall scar: the MAESTRO study. Europace 2015; 18:1227-34. [PMID: 26718535 DOI: 10.1093/europace/euv396] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2015] [Accepted: 10/31/2015] [Indexed: 11/14/2022] Open
Abstract
AIMS The clinical response to cardiac resynchronization therapy (CRT) is variable. Multipoint left ventricular (LV) pacing could achieve more effective haemodynamic response than single-point LV pacing. Deployment of an LV lead over myocardial scar is associated with a poor haemodynamic response to and clinical outcome of CRT. We sought to determine whether the acute haemodynamic response to CRT using three-pole LV multipoint pacing (CRT3P-MPP) is superior to that to conventional CRT using single-site LV pacing (CRTSP) in patients with ischaemic cardiomyopathy and an LV free wall scar. METHODS AND RESULTS Sixteen patients with ischaemic cardiomyopathy [aged 72.6 ± 7.7 years (mean ± SD), 81.3% male, QRS: 146.0 ± 14.2 ms, LBBB in 14 (87.5%)] in whom the LV lead was intentionally deployed straddling an LV free wall scar (assessed using cardiac magnetic resonance), underwent assessment of LV + dP/dtmax during CRT3P-MPP and CRTSP. Interindividually, the ΔLV + dP/dtmax in relation to AAI pacing with CRT3P-MPP (6.2 ± 13.3%) was higher than with basal and mid CRTSP (both P < 0.001), but similar to apical CRTSP. Intraindividually, significant differences in the ΔLV + dP/dtmax to optimal and worst pacing configurations were observed in 10 (62.5%) patients. Of the 8 patients who responded to at least one configuration, CRT3P-MPP was optimal in 5 (62.5%) and apical CRTSP was optimal in 3 (37.5%) (P = 0.0047). CONCLUSIONS In terms of acute haemodynamic response, CRT3P-MPP was comparable an apical CRTSP and superior to basal and distal CRTSP. In the absence of within-device haemodynamic optimization, CRT3P-MPP may offer a haemodynamic advantage over a fixed CRTSP configuration.
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Affiliation(s)
- Fraz Umar
- Department of Cardiology, University Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham B15 2WB, UK Centre for Cardiovascular Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Robin J Taylor
- Department of Cardiology, University Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham B15 2WB, UK Centre for Cardiovascular Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | | | - Howard Marshall
- Department of Cardiology, University Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham B15 2WB, UK
| | - Sharon Flannigan
- Department of Cardiology, University Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham B15 2WB, UK
| | - Mauro Lencioni
- Department of Cardiology, University Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham B15 2WB, UK
| | - Joseph De Bono
- Department of Cardiology, University Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham B15 2WB, UK
| | - Michael Griffith
- Department of Cardiology, University Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham B15 2WB, UK
| | - Francisco Leyva
- Department of Cardiology, University Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham B15 2WB, UK Aston Medical Research Institute, Aston Medical School, Aston University, Birmingham B4 7ET, UK
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Dibb K, Trafford A, Zhang H, Eisner D. A model model: a commentary on DiFrancesco and Noble (1985) 'A model of cardiac electrical activity incorporating ionic pumps and concentration changes'. Philos Trans R Soc Lond B Biol Sci 2015; 370:rstb.2014.0316. [PMID: 25750236 PMCID: PMC4360121 DOI: 10.1098/rstb.2014.0316] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
This paper summarizes the advances made by the DiFrancesco and Noble (DFN) model of cardiac cellular electrophysiology, which was published in Philosophical Transactions B in 1985. This model was developed at a time when the introduction of new techniques and provision of experimental data had resulted in an explosion of knowledge about the cellular and biophysical properties of the heart. It advanced the cardiac modelling field from a period when computer models considered only the voltage-dependent channels in the surface membrane. In particular, it included a consideration of changes of both intra- and extracellular ionic concentrations. In this paper, we summarize the most important contributions of the DiFrancesco and Noble paper. We also describe how computer modelling has developed subsequently with the extension from the single cell to the whole heart as well as its use in understanding disease and predicting the effects of pharmaceutical interventions. This commentary was written to celebrate the 350th anniversary of the journal Philosophical Transactions of the Royal Society.
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Affiliation(s)
- Katharine Dibb
- Institute for Cardiovascular Sciences, University of Manchester, Manchester, UK
| | - Andrew Trafford
- Institute for Cardiovascular Sciences, University of Manchester, Manchester, UK
| | - Henggui Zhang
- Computational Biology, Biological Physics Group, School of Physics and Astronomy, University of Manchester, Manchester, UK
| | - David Eisner
- Institute for Cardiovascular Sciences, University of Manchester, Manchester, UK
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Mechanistic insights into the benefits of multisite pacing in cardiac resynchronization therapy: The importance of electrical substrate and rate of left ventricular activation. Heart Rhythm 2015; 12:2449-57. [DOI: 10.1016/j.hrthm.2015.07.012] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Indexed: 11/13/2022]
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38
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Roka A, Borgquist R, Singh J. Coronary Sinus Lead Positioning. Card Electrophysiol Clin 2015; 7:635-47. [PMID: 26596808 DOI: 10.1016/j.ccep.2015.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Although cardiac resynchronization therapy improves morbidity and mortality in patients with cardiomyopathy, heart failure, and electrical dyssynchrony, the rate of nonresponders using standard indications and implant techniques is still high. Optimal coronary sinus lead positioning is important to increase the chance of successful resynchronization. Patient factors such as cause of heart failure, type of dyssynchrony, scar burden, coronary sinus anatomy, and phrenic nerve capture may affect the efficacy of the therapy. Several modalities are under investigation. Alternative left ventricular lead implantation strategies are occasionally required when the transvenous route is not feasible or would result in a suboptimal lead position.
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Affiliation(s)
- Attila Roka
- Cardiology Division, Cardiac Arrhythmia Service, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
| | - Rasmus Borgquist
- Cardiology Division, Cardiac Arrhythmia Service, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
| | - Jagmeet Singh
- Cardiology Division, Cardiac Arrhythmia Service, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.
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Crozier A, Blazevic B, Lamata P, Plank G, Ginks M, Duckett S, Sohal M, Shetty A, Rinaldi CA, Razavi R, Smith NP, Niederer SA. The relative role of patient physiology and device optimisation in cardiac resynchronisation therapy: A computational modelling study. J Mol Cell Cardiol 2015; 96:93-100. [PMID: 26546827 PMCID: PMC4915816 DOI: 10.1016/j.yjmcc.2015.10.026] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 10/12/2015] [Accepted: 10/21/2015] [Indexed: 11/22/2022]
Abstract
Cardiac resynchronisation therapy (CRT) is an established treatment for heart failure, however the effective selection of patients and optimisation of therapy remain controversial. While extensive research is ongoing, it remains unclear whether improvements in patient selection or therapy planning offers a greater opportunity for the improvement of clinical outcomes. This computational study investigates the impact of both physiological conditions that guide patient selection and the optimisation of pacing lead placement on CRT outcomes. A multi-scale biophysical model of cardiac electromechanics was developed and personalised to patient data in three patients. These models were separated into components representing cardiac anatomy, pacing lead location, myocardial conductivity and stiffness, afterload, active contraction and conduction block for each individual, and recombined to generate a cohort of 648 virtual patients. The effect of these components on the change in total activation time of the ventricles (ΔTAT) and acute haemodynamic response (AHR) was analysed. The pacing site location was found to have the largest effect on ΔTAT and AHR. Secondary effects on ΔTAT and AHR were found for functional conduction block and cardiac anatomy. The simulation results highlight a need for a greater emphasis on therapy optimisation in order to achieve the best outcomes for patients. Ventricular conduction block indicates patient response to CRT. Placement of CRT pacing leads strongly affects response to therapy. Improved treatment planning should be prioritised in order to maximise CRT outcomes.
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Affiliation(s)
- Andrew Crozier
- Division of Imaging Sciences and Biomedical Engineering, King's College London, United Kingdom; Institute of Biophysics, Medical University of Graz, Austria
| | - Bojan Blazevic
- Division of Imaging Sciences and Biomedical Engineering, King's College London, United Kingdom
| | - Pablo Lamata
- Division of Imaging Sciences and Biomedical Engineering, King's College London, United Kingdom
| | - Gernot Plank
- Institute of Biophysics, Medical University of Graz, Austria
| | - Matthew Ginks
- Department of Cardiology, Guy's and St. Thomas' Hospital, London, United Kingdom
| | - Simon Duckett
- Department of Cardiology, Guy's and St. Thomas' Hospital, London, United Kingdom
| | - Manav Sohal
- Department of Cardiology, Guy's and St. Thomas' Hospital, London, United Kingdom
| | - Anoop Shetty
- Department of Cardiology, Guy's and St. Thomas' Hospital, London, United Kingdom
| | | | - Reza Razavi
- Division of Imaging Sciences and Biomedical Engineering, King's College London, United Kingdom
| | - Nicolas P Smith
- Division of Imaging Sciences and Biomedical Engineering, King's College London, United Kingdom; Faculty of Engineering, University of Auckland, New Zealand
| | - Steven A Niederer
- Division of Imaging Sciences and Biomedical Engineering, King's College London, United Kingdom.
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40
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Crozier A, Augustin CM, Neic A, Prassl AJ, Holler M, Fastl TE, Hennemuth A, Bredies K, Kuehne T, Bishop MJ, Niederer SA, Plank G. Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling. Ann Biomed Eng 2015; 44:58-70. [PMID: 26424476 PMCID: PMC4690840 DOI: 10.1007/s10439-015-1474-5] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Accepted: 09/24/2015] [Indexed: 11/26/2022]
Abstract
Computational models of cardiac electromechanics (EM) are increasingly being applied to clinical problems, with patient-specific models being generated from high fidelity imaging and used to simulate patient physiology, pathophysiology and response to treatment. Current structured meshes are limited in their ability to fully represent the detailed anatomical data available from clinical images and capture complex and varied anatomy with limited geometric accuracy. In this paper, we review the state of the art in image-based personalization of cardiac anatomy for biophysically detailed, strongly coupled EM modeling, and present our own tools for the automatic building of anatomically and structurally accurate patient-specific models. Our method relies on using high resolution unstructured meshes for discretizing both physics, electrophysiology and mechanics, in combination with efficient, strongly scalable solvers necessary to deal with the computational load imposed by the large number of degrees of freedom of these meshes. These tools permit automated anatomical model generation and strongly coupled EM simulations at an unprecedented level of anatomical and biophysical detail.
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Affiliation(s)
- A Crozier
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - C M Augustin
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - A Neic
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - A J Prassl
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - M Holler
- Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria
| | - T E Fastl
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - A Hennemuth
- Modeling and Simulation Group, Fraunhofer MEVIS, Bremen, Germany
| | - K Bredies
- Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria
| | - T Kuehne
- Non-Invasive Cardiac Imaging in Congenital Heart Disease Unit, Charité-Universitätsmedizin, Berlin, Germany
- German Heart Institute, Berlin, Germany
| | - M J Bishop
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - S A Niederer
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - G Plank
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria.
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41
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Pluijmert M, Lumens J, Potse M, Delhaas T, Auricchio A, Prinzen FW. Computer Modelling for Better Diagnosis and Therapy of Patients by Cardiac Resynchronisation Therapy. Arrhythm Electrophysiol Rev 2015; 4:62-7. [PMID: 26835103 PMCID: PMC4711552 DOI: 10.15420/aer.2015.4.1.62] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2014] [Accepted: 01/20/2015] [Indexed: 11/04/2022] Open
Abstract
Mathematical or computer models have become increasingly popular in biomedical science. Although they are a simplification of reality, computer models are able to link a multitude of processes to each other. In the fields of cardiac physiology and cardiology, models can be used to describe the combined activity of all ion channels (electrical models) or contraction-related processes (mechanical models) in potentially millions of cardiac cells. Electromechanical models go one step further by coupling electrical and mechanical processes and incorporating mechano-electrical feedback. The field of cardiac computer modelling is making rapid progress due to advances in research and the ever-increasing calculation power of computers. Computer models have helped to provide better understanding of disease mechanisms and treatment. The ultimate goal will be to create patient-specific models using diagnostic measurements from the individual patient. This paper gives a brief overview of computer models in the field of cardiology and mentions some scientific achievements and clinical applications, especially in relation to cardiac resynchronisation therapy (CRT).
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Affiliation(s)
- Marieke Pluijmert
- Department of Biomedical Engineering, Cardiovascular Research Institute, Maastricht, The Netherlands;
| | - Joost Lumens
- Department of Biomedical Engineering, Cardiovascular Research Institute, Maastricht, The Netherlands;
| | - Mark Potse
- Centre for Computational Medicine in Cardiology, Universita della Svizzera Intaliana, Lugano, Switzerland;
| | - Tammo Delhaas
- Department of Biomedical Engineering, Cardiovascular Research Institute, Maastricht, The Netherlands;
| | - Angelo Auricchio
- Centre for Computational Medicine in Cardiology, Universita della Svizzera Intaliana, Lugano, Switzerland;
- Fondazione Cardiocentro Ticino, Lugano, Switzerland;
| | - Frits W Prinzen
- Department of Physiology, Cardiovascular Research Institute, Maastricht, The Netherlands
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42
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Lopez-Perez A, Sebastian R, Ferrero JM. Three-dimensional cardiac computational modelling: methods, features and applications. Biomed Eng Online 2015; 14:35. [PMID: 25928297 PMCID: PMC4424572 DOI: 10.1186/s12938-015-0033-5] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Accepted: 04/02/2015] [Indexed: 01/19/2023] Open
Abstract
The combination of computational models and biophysical simulations can help to interpret an array of experimental data and contribute to the understanding, diagnosis and treatment of complex diseases such as cardiac arrhythmias. For this reason, three-dimensional (3D) cardiac computational modelling is currently a rising field of research. The advance of medical imaging technology over the last decades has allowed the evolution from generic to patient-specific 3D cardiac models that faithfully represent the anatomy and different cardiac features of a given alive subject. Here we analyse sixty representative 3D cardiac computational models developed and published during the last fifty years, describing their information sources, features, development methods and online availability. This paper also reviews the necessary components to build a 3D computational model of the heart aimed at biophysical simulation, paying especial attention to cardiac electrophysiology (EP), and the existing approaches to incorporate those components. We assess the challenges associated to the different steps of the building process, from the processing of raw clinical or biological data to the final application, including image segmentation, inclusion of substructures and meshing among others. We briefly outline the personalisation approaches that are currently available in 3D cardiac computational modelling. Finally, we present examples of several specific applications, mainly related to cardiac EP simulation and model-based image analysis, showing the potential usefulness of 3D cardiac computational modelling into clinical environments as a tool to aid in the prevention, diagnosis and treatment of cardiac diseases.
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Affiliation(s)
- Alejandro Lopez-Perez
- Centre for Research and Innovation in Bioengineering (Ci2B), Universitat Politècnica de València, València, Spain.
| | - Rafael Sebastian
- Computational Multiscale Physiology Lab (CoMMLab), Universitat de València, València, Spain.
| | - Jose M Ferrero
- Centre for Research and Innovation in Bioengineering (Ci2B), Universitat Politècnica de València, València, Spain.
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43
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VAN GELDER BERRYM, BRACKE FRANKA. Acute Hemodynamic Effects of Single- and Dual-Site Left Ventricular Pacing Employing a Dual Cathodal Coronary Sinus Lead. PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2015; 38:558-64. [DOI: 10.1111/pace.12606] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2014] [Revised: 12/28/2014] [Accepted: 01/28/2015] [Indexed: 11/26/2022]
Affiliation(s)
| | - FRANK A. BRACKE
- Department of Cardiology; Catharina Hospital; Eindhoven the Netherlands
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44
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Behar JM, Bostock J, Ginks M, Jackson T, Sohal M, Claridge S, Razavi R, Rinaldi CA. Limitations of chronic delivery of multi-vein left ventricular stimulation for cardiac resynchronization therapy. J Interv Card Electrophysiol 2015; 42:135-42. [PMID: 25627144 DOI: 10.1007/s10840-014-9971-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Accepted: 12/22/2014] [Indexed: 10/24/2022]
Abstract
PURPOSE Dual-site epicardial left ventricular (LV) pacing represents one strategy to improve acute cardiac resynchronization therapy (CRT) response. However, the feasibility of this approach in the longer term may be hindered by system complexity. We assessed chronic outcomes of patients receiving dual-site LV pacing. METHODS Twenty patients with conventional CRT criteria were implanted with dual-site epicardial LV leads connected with bifurcating adapter. Mean energy required to capture the LV was calculated using threshold, impedance and pulse width. Values were obtained during implant and the following day. Follow-up data included lead parameters, ventricular arrhythmias and mortality. RESULTS Nineteen patients had successful dual LV lead placement. Mean age was 66 ± 11 years, mean left ventricular ejection fraction (LVEF) 26% ± 8 and 50% ischemic etiology. Mean energy to capture the LV was 1.95 μJ for LV1 during implant, rising to 8.61 μJ at day 1, p = 0.03. The energy required for LV2 was 2.37 μJ during implant, 11.55 μJ the next day, p = 0.004. Eleven percent had LV2 turned off during the implant due to high thresholds and/or a worsened acute hemodynamic response. Eleven percent had LV2 turned off day 1 post implant due to inability to capture LV2 at maximum output. All remaining 15 patients had LV2 programmed off, with a mean time of 255 days from implant. Thirty-two percent of patients received ATP or shock, and sixteen percent died over a mean follow-up of 1271 days. Thirty-seven percent of patients required generator replacement with mean longevity of 42 months, far shorter than the suggested lifespan of the device (58 months), p = 0.006. CONCLUSION Multisite epicardial LV lead placement may be acutely feasible and demonstrate beneficial hemodynamic results at implantation. Long-term delivery of this therapy is however problematic due to technical issues with pacing through the bifurcating adapter. This suggests the feasibility of this form of multisite CRT is limited.
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Affiliation(s)
- Jonathan M Behar
- Department of Imaging Sciences and Biomedical Engineering, King's College London, St Thomas' Hospital, London, SE1 7EH, UK,
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45
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Claridge S, Chen Z, Jackson T, Sammut E, Sohal M, Behar J, Razavi R, Niederer S, Rinaldi CA. Current concepts relating coronary flow, myocardial perfusion and metabolism in left bundle branch block and cardiac resynchronisation therapy. Int J Cardiol 2014; 181:65-72. [PMID: 25482281 DOI: 10.1016/j.ijcard.2014.11.194] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Revised: 11/18/2014] [Accepted: 11/24/2014] [Indexed: 11/16/2022]
Abstract
Cardiac resynchronisation therapy (CRT) improves mortality and symptoms in heart failure patients with electromechanically dyssynchronous ventricles. There is a 50% non-response rate and reproducible biomarkers to predict non-response have not been forthcoming. Therefore, there has been increasing interest in the pathophysiological effects of dyssynchrony particularly focusing on coronary flow, myocardial perfusion and metabolism. Studies suggest that dyssynchronous electrical activation effects coronary flow throughout the coronary vasculature from the epicardial arteries to the microvascular bed and that these changes can be corrected by CRT. The effect of both electrical and mechanical dyssynchrony on myocardial perfusion is unclear with some studies suggesting there is a reduction in septal perfusion whilst others propose that there is an increase in lateral perfusion. Better understanding of these effects offers the possibility for better prediction of non-response. CRT appears to improve homogeneity in myocardial perfusion where heterogeneity is described in the initial substrate. Novel approaches to the identification of non-responders via metabolic phenotyping both invasively and non-invasively have been encouraging. There remains a need for further research to clarify the interaction of coronary flow with perfusion and metabolism in patients who undergo CRT.
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Affiliation(s)
- Simon Claridge
- Guy's and St Thomas' Hospital, UK; King's College London, UK.
| | | | | | | | | | - Jonathan Behar
- Guy's and St Thomas' Hospital, UK; King's College London, UK
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46
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Gao H, Wang H, Berry C, Luo X, Griffith BE. Quasi-static image-based immersed boundary-finite element model of left ventricle under diastolic loading. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2014; 30:1199-222. [PMID: 24799090 PMCID: PMC4233956 DOI: 10.1002/cnm.2652] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2013] [Revised: 04/24/2014] [Accepted: 04/25/2014] [Indexed: 05/07/2023]
Abstract
Finite stress and strain analyses of the heart provide insight into the biomechanics of myocardial function and dysfunction. Herein, we describe progress toward dynamic patient-specific models of the left ventricle using an immersed boundary (IB) method with a finite element (FE) structural mechanics model. We use a structure-based hyperelastic strain-energy function to describe the passive mechanics of the ventricular myocardium, a realistic anatomical geometry reconstructed from clinical magnetic resonance images of a healthy human heart, and a rule-based fiber architecture. Numerical predictions of this IB/FE model are compared with results obtained by a commercial FE solver. We demonstrate that the IB/FE model yields results that are in good agreement with those of the conventional FE model under diastolic loading conditions, and the predictions of the LV model using either numerical method are shown to be consistent with previous computational and experimental data. These results are among the first to analyze the stress and strain predictions of IB models of ventricular mechanics, and they serve both to verify the IB/FE simulation framework and to validate the IB/FE model. Moreover, this work represents an important step toward using such models for fully dynamic fluid-structure interaction simulations of the heart. © 2014 The Authors. International Journal for Numerical Methods in Engineering published by John Wiley & Sons, Ltd.
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Affiliation(s)
- Hao Gao
- School of Mathematics and Statistics, University of Glasgow, Glasgow, UK
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47
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Gamble JHP, Betts TR. Multisite left ventricular pacing in cardiac resynchronization therapy. Future Cardiol 2014; 10:469-77. [PMID: 25301310 DOI: 10.2217/fca.14.31] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Cardiac resynchronization therapy is an effective treatment for selected patients with heart failure and left bundle branch block dyssynchrony. Unfortunately, about a third of patients, so-called nonresponders, do not display any symptomatic or structural improvements after the treatment. In another 5% of patients, the left ventricular lead cannot be implanted due to technical limitations. Novel quadripolar pacing lead and associated multisite pacing technology has the potential to help improve both of these problems. The technology and applications of these leads are reviewed and the novel technique of multisite pacing from two poles of one quadripolar lead is discussed. This technology may improve response to cardiac resynchronization therapy for some patients.
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Affiliation(s)
- James H P Gamble
- Oxford Heart Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, OX3 9DU, UK
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48
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Gao H, Carrick D, Berry C, Griffith BE, Luo X. Dynamic finite-strain modelling of the human left ventricle in health and disease using an immersed boundary-finite element method. IMA JOURNAL OF APPLIED MATHEMATICS 2014; 79:978-1010. [PMID: 27041786 PMCID: PMC4816497 DOI: 10.1093/imamat/hxu029] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Detailed models of the biomechanics of the heart are important both for developing improved interventions for patients with heart disease and also for patient risk stratification and treatment planning. For instance, stress distributions in the heart affect cardiac remodelling, but such distributions are not presently accessible in patients. Biomechanical models of the heart offer detailed three-dimensional deformation, stress and strain fields that can supplement conventional clinical data. In this work, we introduce dynamic computational models of the human left ventricle (LV) that are derived from clinical imaging data obtained from a healthy subject and from a patient with a myocardial infarction (MI). Both models incorporate a detailed invariant-based orthotropic description of the passive elasticity of the ventricular myocardium along with a detailed biophysical model of active tension generation in the ventricular muscle. These constitutive models are employed within a dynamic simulation framework that accounts for the inertia of the ventricular muscle and the blood that is based on an immersed boundary (IB) method with a finite element description of the structural mechanics. The geometry of the models is based on data obtained non-invasively by cardiac magnetic resonance (CMR). CMR imaging data are also used to estimate the parameters of the passive and active constitutive models, which are determined so that the simulated end-diastolic and end-systolic volumes agree with the corresponding volumes determined from the CMR imaging studies. Using these models, we simulate LV dynamics from enddiastole to end-systole. The results of our simulations are shown to be in good agreement with subject-specific CMR-derived strain measurements and also with earlier clinical studies on human LV strain distributions.
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Affiliation(s)
- Hao Gao
- School of Mathematics and Statistics, University of Glasgow, Glasgow, UK
| | - David Carrick
- Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, UK
| | - Colin Berry
- Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, UK
| | - Boyce E. Griffith
- Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, NY, USA and Department of Mathematics, Courant Institute of Mathematical Sciences, New York University, New York, NY, USA
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Rinaldi CA, Burri H, Thibault B, Curnis A, Rao A, Gras D, Sperzel J, Singh JP, Biffi M, Bordachar P, Leclercq C. A review of multisite pacing to achieve cardiac resynchronization therapy. Europace 2014; 17:7-17. [DOI: 10.1093/europace/euu197] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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50
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Images as drivers of progress in cardiac computational modelling. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2014; 115:198-212. [PMID: 25117497 PMCID: PMC4210662 DOI: 10.1016/j.pbiomolbio.2014.08.005] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2014] [Accepted: 08/02/2014] [Indexed: 11/28/2022]
Abstract
Computational models have become a fundamental tool in cardiac research. Models are evolving to cover multiple scales and physical mechanisms. They are moving towards mechanistic descriptions of personalised structure and function, including effects of natural variability. These developments are underpinned to a large extent by advances in imaging technologies. This article reviews how novel imaging technologies, or the innovative use and extension of established ones, integrate with computational models and drive novel insights into cardiac biophysics. In terms of structural characterization, we discuss how imaging is allowing a wide range of scales to be considered, from cellular levels to whole organs. We analyse how the evolution from structural to functional imaging is opening new avenues for computational models, and in this respect we review methods for measurement of electrical activity, mechanics and flow. Finally, we consider ways in which combined imaging and modelling research is likely to continue advancing cardiac research, and identify some of the main challenges that remain to be solved.
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