1
|
Serrano RR, Velasco‐Bosom S, Dominguez‐Alfaro A, Picchio ML, Mantione D, Mecerreyes D, Malliaras GG. High Density Body Surface Potential Mapping with Conducting Polymer-Eutectogel Electrode Arrays for ECG imaging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2301176. [PMID: 37203308 PMCID: PMC11251564 DOI: 10.1002/advs.202301176] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/28/2023] [Indexed: 05/20/2023]
Abstract
Electrocardiography imaging (ECGi) is a non-invasive inverse reconstruction procedure which employs body surface potential maps (BSPM) obtained from surface electrode array measurements to improve the spatial resolution and interpretability of conventional electrocardiography (ECG) for the diagnosis of cardiac dysfunction. ECGi currently lacks precision, which has prevented its adoption in clinical setups. The introduction of high-density electrode arrays could increase ECGi reconstruction accuracy but is not attempted before due to manufacturing and processing limitations. Advances in multiple fields have now enabled the implementation of such arrays which poses questions on optimal array design parameters for ECGi. In this work, a novel conducting polymer electrode manufacturing process on flexible substrates is proposed to achieve high-density, mm-sized, conformable, long-term, and easily attachable electrode arrays for BSPM with parameters optimally selected for ECGi applications. Temporal, spectral, and correlation analysis are performed on a prototype array demonstrating the validity of the chosen parameters and the feasibility of high-density BSPM, paving the way for ECGi devices fit for clinical application.
Collapse
Affiliation(s)
| | | | - Antonio Dominguez‐Alfaro
- Electrical Engineering DivisionUniversity of CambridgeCambridgeCB3 0FAUK
- POLYMATUniversity of the Basque Country UPV/EHUAvda. Tolosa 72Donostia‐San SebastianGipuzkoa20018Spain
| | - Matias L. Picchio
- POLYMATUniversity of the Basque Country UPV/EHUAvda. Tolosa 72Donostia‐San SebastianGipuzkoa20018Spain
| | - Daniele Mantione
- POLYMATUniversity of the Basque Country UPV/EHUAvda. Tolosa 72Donostia‐San SebastianGipuzkoa20018Spain
- IKERBASQUEBasque Foundation for ScienceBilbao48009Spain
| | - David Mecerreyes
- POLYMATUniversity of the Basque Country UPV/EHUAvda. Tolosa 72Donostia‐San SebastianGipuzkoa20018Spain
- IKERBASQUEBasque Foundation for ScienceBilbao48009Spain
| | | |
Collapse
|
2
|
Noheria A, Shahab A, Andrews C, Cuculich PS, Rudy Y. Pilot study to evaluate left-to-right ventricular offset in biventricular pacing-comparison of electrocardiographic imaging and ECG. J Cardiovasc Electrophysiol 2024; 35:1185-1195. [PMID: 38591763 DOI: 10.1111/jce.16272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/14/2024] [Accepted: 03/23/2024] [Indexed: 04/10/2024]
Abstract
INTRODUCTION Biventricular pacing (BiVp) improves outcomes in systolic heart failure patients with electrical dyssynchrony. BiVp is delivered from epicardial left ventricular (LV) and endocardial right ventricular (RV) electrodes. Acute electrical activation changes with different LV-RV stimulation offsets can help guide individually optimized BiVp programming. We sought to study the BiVp ventricular activation with different LV-RV offsets and compare with 12-lead ECG. METHODS In five patients with BiVp (63 ± 17-year-old, 80% male, LV ejection fraction 27 ± 6%), we evaluated acute ventricular epicardial activation, varying LV-RV offsets in 20 ms increments from -40 to 80 ms, using electrocardiographic imaging (ECGI) to obtain absolute ventricular electrical uncoupling (VEUabs, absolute difference in average LV and average RV activation time) and total activation time (TAT). For each patient, we calculated the correlation between ECGI and corresponding ECG (3D-QRS-area and QRS duration) with different LV-RV offsets. RESULTS The LV-RV offset to attain minimum VEUabs in individual patients ranged 20-60 ms. In all patients, a larger LV-RV offset was required to achieve minimum VEUabs (36 ± 17 ms) or 3D-QRS-area (40 ± 14 ms) than that for minimum TAT (-4 ± 9 ms) or QRS duration (-8 ± 11 ms). In individual patients, 3D-QRS-area correlated with VEUabs (r 0.65 ± 0.24) and QRS duration correlated with TAT (r 0.95 ± 0.02). Minimum VEUabs and minimum 3D-QRS-area were obtained by LV-RV offset within 20 ms of each other in all five patients. CONCLUSIONS LV-RV electrical uncoupling, as assessed by ECGI, can be minimized by optimizing LV-RV stimulation offset. 3D-QRS-area is a surrogate to identify LV-RV offset that minimizes LV-RV uncoupling.
Collapse
Affiliation(s)
- Amit Noheria
- Department of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Ahmed Shahab
- Department of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Christopher Andrews
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Phillip S Cuculich
- Cardiovascular Division, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yoram Rudy
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| |
Collapse
|
3
|
Abu-Alrub S, Strik M, Huntjens P, Haïssaguerre M, Eschalier R, Bordachar P, Ploux S. Current Role of Electrocardiographic Imaging in Patient Selection for Cardiac Resynchronization Therapy. J Cardiovasc Dev Dis 2024; 11:24. [PMID: 38248894 PMCID: PMC10816019 DOI: 10.3390/jcdd11010024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 01/23/2024] Open
Abstract
Cardiac resynchronization therapy (CRT) is a recognized therapy for heart failure with altered ejection fraction and abnormal left ventricular activation time. Since the introduction of the therapy, a 30% rate of non-responders is observed and unchanged. The 12-lead ECG remains the only recommended tool for patient selection to CRT. The 12-lead ECG is, however, limited in its inability to provide a precise pattern of regional electrical activity. Electrocardiographic imaging (ECGi) provides a non-invasive detailed mapping of cardiac activation and therefore appears as a promising tool for CRT candidates. The non-invasive ventricular activation maps acquired by ECGi have been primarily explored for the diagnosis and guidance of therapy in patients with atrial or ventricular tachyarrhythmia. However, the accuracy of the system in this field is lacking and needs further improvement before considering a clinical application. On the other hand, its use for patient selection for CRT is encouraging. In this review, we introduce the technical considerations and we describe how ECGi can precisely characterize ventricular activation, especially in patients with left bundle branch block, thus identifying the electrical substrate responsive to CRT.
Collapse
Affiliation(s)
- Saer Abu-Alrub
- Cardiology Department, Centre Hospitalier Universitaire Clermont-Ferrand, 63000 Clermont-Ferrand, France;
| | - Marc Strik
- Cardio-Thoracic Unit, Bordeaux University Hospital (Centre Hospitalier Universitaire), 33600 Pessac-Bordeaux, France; (M.S.); (S.P.); (P.B.); (M.H.)
- IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac-Bordeaux, France
| | - Peter Huntjens
- Division of Cardiology, Washington University in St. Louis, St. Louis, MO 63110, USA;
| | - Michel Haïssaguerre
- Cardio-Thoracic Unit, Bordeaux University Hospital (Centre Hospitalier Universitaire), 33600 Pessac-Bordeaux, France; (M.S.); (S.P.); (P.B.); (M.H.)
- IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac-Bordeaux, France
| | - Romain Eschalier
- Cardiology Department, Centre Hospitalier Universitaire Clermont-Ferrand, 63000 Clermont-Ferrand, France;
| | - Pierre Bordachar
- Cardio-Thoracic Unit, Bordeaux University Hospital (Centre Hospitalier Universitaire), 33600 Pessac-Bordeaux, France; (M.S.); (S.P.); (P.B.); (M.H.)
- IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac-Bordeaux, France
| | - Sylvain Ploux
- Cardio-Thoracic Unit, Bordeaux University Hospital (Centre Hospitalier Universitaire), 33600 Pessac-Bordeaux, France; (M.S.); (S.P.); (P.B.); (M.H.)
- IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac-Bordeaux, France
| |
Collapse
|
4
|
Morales FL, Bivona DJ, Abdi M, Malhotra R, Monfredi O, Darby A, Mason PK, Mangrum JM, Mazimba S, Stadler RW, Epstein FH, Bilchick KC, Oomen PJA. Noninvasive Electrical Mapping Compared with the Paced QRS Complex for Optimizing CRT Programmed Settings and Predicting Multidimensional Response. J Cardiovasc Transl Res 2023; 16:1448-1460. [PMID: 37674046 PMCID: PMC10721664 DOI: 10.1007/s12265-023-10418-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 07/21/2023] [Indexed: 09/08/2023]
Abstract
The aim was to test the hypothesis that left ventricular (LV) and right ventricular (RV) activation from body surface electrical mapping (CardioInsight 252-electrode vest, Medtronic) identifies optimal cardiac resynchronization therapy (CRT) pacing strategies and outcomes in 30 patients. The LV80, RV80, and BIV80 were defined as the times to 80% LV, RV, or biventricular electrical activation. Smaller differences in the LV80 and RV80 (|LV80-RV80|) with synchronized LV pacing predicted better LV function post-CRT (p = 0.0004) than the LV-paced QRS duration (p = 0.32). Likewise, a lower RV80 was associated with a better pre-CRT RV ejection fraction by CMR (r = - 0.40, p = 0.04) and predicted post-CRT improvements in myocardial oxygen uptake (p = 0.01) better than the biventricular-paced QRS (p = 0.38), while a lower LV80 with BIV pacing predicted lower post-CRT B-type natriuretic peptide (BNP) (p = 0.02). RV pacing improved LV function with smaller |LV80-RV80| (p = 0.009). In conclusion, 3-D electrical mapping predicted favorable post-CRT outcomes and informed effective pacing strategies.
Collapse
Affiliation(s)
- Frances L Morales
- University of Virginia Health System, Charlottesville, VA, 22901, USA
| | - Derek J Bivona
- University of Virginia Health System, Charlottesville, VA, 22901, USA
| | - Mohamad Abdi
- University of Virginia Health System, Charlottesville, VA, 22901, USA
| | - Rohit Malhotra
- University of Virginia Health System, Charlottesville, VA, 22901, USA
| | - Oliver Monfredi
- University of Virginia Health System, Charlottesville, VA, 22901, USA
| | - Andrew Darby
- University of Virginia Health System, Charlottesville, VA, 22901, USA
| | - Pamela K Mason
- University of Virginia Health System, Charlottesville, VA, 22901, USA
| | - J Michael Mangrum
- University of Virginia Health System, Charlottesville, VA, 22901, USA
| | - Sula Mazimba
- University of Virginia Health System, Charlottesville, VA, 22901, USA
| | | | | | | | - Pim J A Oomen
- Department of Biomedical Engineeering, Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California, Irvine, Irvine, CA, USA
| |
Collapse
|
5
|
Sedova KA, van Dam PM, Blahova M, Necasova L, Kautzner J. Localization of the ventricular pacing site from BSPM and standard 12-lead ECG: a comparison study. Sci Rep 2023; 13:9618. [PMID: 37316547 DOI: 10.1038/s41598-023-36768-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 06/09/2023] [Indexed: 06/16/2023] Open
Abstract
Inverse ECG imaging methods typically require 32-250 leads to create body surface potential maps (BSPM), limiting their routine clinical use. This study evaluated the accuracy of PaceView inverse ECG method to localize the left or right ventricular (LV and RV, respectively) pacing leads using either a 99-lead BSPM or the 12-lead ECG. A 99-lead BSPM was recorded in patients with cardiac resynchronization therapy (CRT) during sinus rhythm and sequential LV/RV pacing. The non-contrast CT was performed to localize precisely both ECG electrodes and CRT leads. From a BSPM, nine signals were selected to obtain the 12-lead ECG. Both BSPM and 12-lead ECG were used to localize the RV and LV lead, and the localization error was calculated. Consecutive patients with dilated cardiomyopathy, previously implanted with a CRT device, were enrolled (n = 19). The localization error for the RV/LV lead was 9.0 [IQR 4.8-13.6] / 7.7 [IQR 0.0-10.3] mm using the 12-lead ECG and 9.1 [IQR 5.4-15.7] / 9.8 [IQR 8.6-13.1] mm for the BSPM. Thus, the noninvasive lead localization using the 12-lead ECG was accurate enough and comparable to 99-lead BSPM, potentially increasing the capability of 12-lead ECG for the optimization of the LV/RV pacing sites during CRT implant or for the most favorable programming.
Collapse
Affiliation(s)
- Ksenia A Sedova
- Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Sitna Sq. 3105, 27201, Kladno, Czech Republic.
| | - Peter M van Dam
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marie Blahova
- Department of Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Lucie Necasova
- Department of Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Josef Kautzner
- Department of Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| |
Collapse
|
6
|
Rickard J, Jackson K, Gold M, Biffi M, Ziacchi M, Silverstein J, Ramza B, Metzl M, Grubman E, Abben R, Varma N, Tabbal G, Jensen C, Wouters G, Ghosh S, Vernooy K. Electrocardiogram Belt guidance for left ventricular lead placement and biventricular pacing optimization. Heart Rhythm 2022; 20:537-544. [PMID: 36442824 DOI: 10.1016/j.hrthm.2022.11.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/07/2022] [Accepted: 11/22/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Patients with ischemic cardiomyopathy, non-left bundle branch block, or QRS duration <150 ms have a lower response rate to cardiac resynchronization therapy (CRT) than did other indicated patients. The ECG Belt system (EBS) is a novel surface mapping system designed to measure electrical dyssynchrony via the standard deviation of the activation times of the left ventricle. OBJECTIVES The objectives of this study were to evaluate the efficacy of the EBS in patients less likely to respond to CRT and to determine whether EBS use in lead placement guidance and device programming was superior to standard CRT care. METHODS This was a prospective randomized trial of patients with heart failure and EBS-guided CRT implantation and programming vs standard CRT care. The primary end point was relative change in left ventricular end-systolic volume from baseline to 6 months postimplantation. RESULTS A total of 408 patients from centers in Europe and North America were randomized. Although both patients with EBS and control patients had a mean improvement in left ventricular end-systolic volume, there was no significant difference in relative change from baseline (P = .26). While patients with a higher baseline standard deviation of the activation times derived greater left ventricular reverse remodeling, improvement in electrical dyssynchrony did not correlate with the extent of reverse remodeling. CONCLUSION The findings of the present study do not support EBS-guided therapy for CRT management of heart failure with reduced ejection fraction.
Collapse
Affiliation(s)
- John Rickard
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio.
| | - Kevin Jackson
- Section of Cardiac Electrophysiology, Division of Cardiovascular Disease, Duke University Medical Center, Durham, North Carolina
| | - Michael Gold
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Mauro Biffi
- Department of Experimental, Diagnostic and Specialty Medicine, Institute of Cardiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Matteo Ziacchi
- Department of Experimental, Diagnostic and Specialty Medicine, Institute of Cardiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | | | - Brian Ramza
- Division of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, Missouri
| | - Mark Metzl
- Department of Medicine, NorthShore University HealthSystem, Evanston, Illinois
| | - Eric Grubman
- Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Richard Abben
- Cardiac Interventions and Cardiac Arrythmia Center, Cardiovascular Institute of the South, Houma, Louisiana
| | - Niraj Varma
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio
| | - Ghiyath Tabbal
- Cardiac Interventions and Cardiac Arrythmia Center, Cardiovascular Institute of the South, Houma, Louisiana
| | - Cory Jensen
- Department of Cardiac Electrophysiology, Heartland Cardiology, Wichita, Kansas
| | - Griet Wouters
- Department of Cardiac Rhythm Management, Medtronic Inc., Mounds View, Minnesota
| | - Subham Ghosh
- Department of Cardiac Rhythm Management, Medtronic Inc., Maastricht, the Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands
| | | |
Collapse
|
7
|
Programming Algorithms for Cardiac Resynchronization Therapy. Card Electrophysiol Clin 2022; 14:243-252. [PMID: 35715082 DOI: 10.1016/j.ccep.2021.12.018] [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: 11/21/2022]
Abstract
Current cardiac resynchronization therapy (CRT) implant guidelines emphasize the presence of electrical dyssynchrony (left bundle branch block (LBBB) and QRS > 150 ms) yet have modest predictive value for response and have not reduced the 30% nonresponse rate. Optimized programming to optimize CRT delivery has promised much but to date has largely been ineffective. What is missing is the understanding of LV paced effects (which are unpredictable) and optimal paced AV interval (that can be conserved during physiologic variations) that then can be incorporated into an individualized programming prescription. Automatic device-based algorithms that deliver electrical optimization and maintain this during ambulatory fluctuations in AV interval are discussed.
Collapse
|
8
|
Bergquist J, Rupp L, Zenger B, Brundage J, Busatto A, MacLeod RS. Body Surface Potential Mapping: Contemporary Applications and Future Perspectives. HEARTS 2021; 2:514-542. [PMID: 35665072 PMCID: PMC9164986 DOI: 10.3390/hearts2040040] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023] Open
Abstract
Body surface potential mapping (BSPM) is a noninvasive modality to assess cardiac bioelectric activity with a rich history of practical applications for both research and clinical investigation. BSPM provides comprehensive acquisition of bioelectric signals across the entire thorax, allowing for more complex and extensive analysis than the standard electrocardiogram (ECG). Despite its advantages, BSPM is not a common clinical tool. BSPM does, however, serve as a valuable research tool and as an input for other modes of analysis such as electrocardiographic imaging and, more recently, machine learning and artificial intelligence. In this report, we examine contemporary uses of BSPM, and provide an assessment of its future prospects in both clinical and research environments. We assess the state of the art of BSPM implementations and explore modern applications of advanced modeling and statistical analysis of BSPM data. We predict that BSPM will continue to be a valuable research tool, and will find clinical utility at the intersection of computational modeling approaches and artificial intelligence.
Collapse
Affiliation(s)
- Jake Bergquist
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA
- Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Lindsay Rupp
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA
- Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Brian Zenger
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA
- Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, UT 84112, USA
- School of Medicine, University of Utah, Salt Lake City, UT 84112, USA
| | - James Brundage
- School of Medicine, University of Utah, Salt Lake City, UT 84112, USA
| | - Anna Busatto
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Rob S. MacLeod
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA
- Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, UT 84112, USA
| |
Collapse
|
9
|
Jastrzêbski M. ECG and Pacing Criteria for Differentiating Conduction System Pacing from Myocardial Pacing. Arrhythm Electrophysiol Rev 2021; 10:172-180. [PMID: 34777822 PMCID: PMC8576513 DOI: 10.15420/aer.2021.26] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/08/2021] [Indexed: 11/04/2022] Open
Abstract
During His-Purkinje conduction system (HPS) pacing, it is crucial to confirm capture of the His bundle or left bundle branch versus myocardialonly capture. For this, several methods and criteria for differentiation between non-selective (ns) capture - capture of the HPS and the adjacent myocardium - and myocardial-only capture were developed. HPS capture results in faster and more homogenous depolarisation of the left ventricle than right ventricular septal (RVS) myocardial-only capture. Specifically, the depolarisation of the left ventricle (LV) does not require slow cell-to-cell spread of activation from the right side to the left side of the interventricular septum but begins simultaneously with QRS onset as in native depolarisation. These phenomena greatly influence QRS complex morphology and form the basis of electrocardiographic differentiation between HPS and myocardial paced QRS. Moreover, the HPS and the working myocardium are different tissues within the heart muscle that vary not only in conduction velocities but also in refractoriness and capture thresholds. These last two differences can be exploited for the diagnosis of HPS capture using dynamic pacing manoeuvres, namely differential output pacing, programmed stimulation and burst pacing. This review summarises current knowledge of this subject.
Collapse
Affiliation(s)
- Marek Jastrzêbski
- First Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Kraków, Poland
| |
Collapse
|
10
|
The role of electrocardiographic imaging in patient selection for cardiac resynchronization therapy. J Geriatr Cardiol 2021; 18:836-843. [PMID: 34754295 PMCID: PMC8558743 DOI: 10.11909/j.issn.1671-5411.2021.10.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
|
11
|
Arnold AD, Shun-Shin MJ, Ali N, Keene D, Howard JP, Chow JJ, Qureshi NA, Koa-Wing M, Tanner M, Lefroy DC, Linton NW, Ng FS, Lim PB, Peters NS, Kanagaratnam P, Francis DP, Whinnett ZI. Left ventricular activation time and pattern are preserved with both selective and nonselective His bundle pacing. Heart Rhythm O2 2021; 2:439-445. [PMID: 34667958 PMCID: PMC8505200 DOI: 10.1016/j.hroo.2021.08.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND His bundle pacing (HBP) can be achieved in 2 ways: selective HBP (S-HBP), where the His bundle is captured alone, and nonselective HBP (NS-HBP), where local myocardium is also captured, resulting a pre-excited electrocardiogram appearance. OBJECTIVE We assessed the impact of this ventricular pre-excitation on left and right ventricular dyssynchrony. METHODS We recruited patients who displayed both S-HBP and NS-HBP. We performed noninvasive epicardial electrical mapping for left and right ventricular activation time (LVAT and RVAT) and pattern. RESULTS Twenty patients were recruited. In the primary analysis, the mean within-patient change in LVAT from S-HBP to NS-HBP was -5.5 ms (95% confidence interval: -0.6 to -10.4, noninferiority P < .0001). NS-HBP did not prolong RVAT (4.3 ms, -4.0 to 12.8, P = .296) but did prolong QRS duration (QRSd, 22.1 ms, 11.8 to 32.4, P = .0003). In patients with narrow intrinsic QRS (n = 6), NS-HBP preserved LVAT (-2.9 ms, -9.7 to 4.0, P = .331) but prolonged QRS duration (31.4 ms, 22.0 to 40.7, P = .0003) and mean RVAT (16.8 ms, -5.3 to 38.9, P = .108) compared to S-HBP. Activation pattern of the left ventricular surface was unchanged between S-HBP and NS-HBP, but NS-HBP produced early basal right ventricular activation that was not seen in S-HBP. CONCLUSION Compared to S-HBP, local myocardial capture during NS-HBP produces pre-excitation of the basal right ventricle resulting in QRS duration prolongation. However, NS-HBP preserves the left ventricular activation time and pattern of S-HBP. Left ventricular dyssynchrony is not an important factor when choosing between S-HBP and NS-HBP in most patients.
Collapse
Affiliation(s)
- Ahran D. Arnold
- Address reprint requests and correspondence: Dr Ahran D. Arnold, NHLI, Hammersmith Hospital, Du Cane Rd, London W120HS, UK.
| | | | - Nadine Ali
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Daniel Keene
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - James P. Howard
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Ji-Jian Chow
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Norman A. Qureshi
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Michael Koa-Wing
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Mark Tanner
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - David C. Lefroy
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Nick W.F. Linton
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Fu Siong Ng
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Phang Boon Lim
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Nicholas S. Peters
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Prapa Kanagaratnam
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Darrel P. Francis
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Zachary I. Whinnett
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| |
Collapse
|
12
|
Sedova K, Repin K, Donin G, Dam PV, Kautzner J. Clinical Utility of Body Surface Potential Mapping in CRT Patients. Arrhythm Electrophysiol Rev 2021; 10:113-119. [PMID: 34401184 PMCID: PMC8335851 DOI: 10.15420/aer.2021.14] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 05/12/2021] [Indexed: 12/15/2022] Open
Abstract
This paper reviews the current status of the knowledge on body surface potential mapping (BSPM) and ECG imaging (ECGI) methods for patient selection, left ventricular (LV) lead positioning, and optimisation of CRT programming, to indicate the major trends and future perspectives for the application of these methods in CRT patients. A systematic literature review using PubMed, Scopus, and Web of Science was conducted to evaluate the available clinical evidence regarding the usage of BSPM and ECGI methods in CRT patients. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement was used as a basis for this review. BSPM and ECGI methods applied in CRT patients were assessed, and quantitative parameters of ventricular depolarisation delivered from BSPM and ECGI were extracted and summarised. BSPM and ECGI methods can be used in CRT in several ways, namely in predicting CRT outcome, in individualised optimisation of CRT device programming, and the guiding of LV electrode placement, however, further prospective or randomised trials are necessary to verify the utility of BSPM for routine clinical practice.
Collapse
Affiliation(s)
- Ksenia Sedova
- Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic
| | - Kirill Repin
- Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic
| | - Gleb Donin
- Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic
| | - Peter Van Dam
- Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Josef Kautzner
- Department of Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| |
Collapse
|
13
|
Verzaal NJ, Massé S, Downar E, Nanthakumar K, Delhaas T, Prinzen FW. Exploring the cause of conduction delays in patients with repaired Tetralogy of Fallot. Europace 2021; 23:i105-i112. [PMID: 33751080 DOI: 10.1093/europace/euaa400] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 12/04/2020] [Indexed: 11/13/2022] Open
Abstract
AIMS Cardiac dyssynchrony in patients with repaired Tetralogy of Fallot (rToF) has been attributed to right bundle branch block (RBBB), fibrosis and/or the patches that are inserted during repair surgery. We aimed to investigate the basis of abnormal activation in rToF patients by mapping the electrical activation sequence during sinus rhythm (SR) and right ventricular (RV) pacing. METHODS AND RESULTS A total of 17 patients were studied [13 with rToF, 2 with left bundle branch block (LBBB), and 2 without RBBB or LBBB (non-BBB)] during medically indicated cardiac surgery. During SR and RV pacing, measurements were performed using 112-electrode RV endocardial balloons (rToF only) and biventricular epicardial sock arrays (four of the rToF and all non-rToF patients). During SR, functional lines of block occurred in five rToF patients, while RV pacing caused functional blocks in four rToF patients. The line of block persisted during both SR and RV pacing in only 2 out of 13 rToF patients. Compared to SR, RV pacing increased dispersion of septal activation, but not dispersion of endocardial and epicardial activation of the RV free wall. During pacing, RV and left ventricular activation dispersion in rToF patients were comparable to that of the non-rToF patients. CONCLUSION The results of the present study indicate that the delayed activation in the right ventricle of rToF patients is predominantly due to block(s) in the Purkinje system and that conduction in RV tissue is fairly normal.
Collapse
Affiliation(s)
- Nienke J Verzaal
- Department of Physiology, Maastricht University, PO Box 616, 6200 MD Maastricht, the Netherlands
| | - Stéphane Massé
- The Hull Family Cardiac Fibrillation Management Laboratory, Toronto General Hospital, University Health Network, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Eugene Downar
- The Hull Family Cardiac Fibrillation Management Laboratory, Toronto General Hospital, University Health Network, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Kumaraswamy Nanthakumar
- The Hull Family Cardiac Fibrillation Management Laboratory, Toronto General Hospital, University Health Network, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Tammo Delhaas
- Department of Biomedical Engineering, Maastricht University, PO Box 616, 6200 MD Maastricht, the Netherlands
| | - Frits W Prinzen
- Department of Physiology, Maastricht University, PO Box 616, 6200 MD Maastricht, the Netherlands
| |
Collapse
|
14
|
Haq KT, Rogovoy NM, Thomas JA, Hamilton C, Lutz KJ, Wirth A, Bender AB, German DM, Przybylowicz R, van Dam P, Dewland TA, Dalouk K, Stecker E, Nazer B, Jessel PM, MacMurdy KS, Zarraga IGE, Beitinjaneh B, Henrikson CA, Raitt M, Fuss C, Ferencik M, Tereshchenko LG. Adaptive Cardiac Resynchronization Therapy Effect on Electrical Dyssynchrony (aCRT-ELSYNC): A randomized controlled trial. Heart Rhythm O2 2021; 2:374-381. [PMID: 34430943 PMCID: PMC8369305 DOI: 10.1016/j.hroo.2021.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Abstract
BACKGROUND Adaptive cardiac resynchronization therapy (aCRT) is known to have clinical benefits over conventional CRT, but the mechanisms are unclear. OBJECTIVE Compare effects of aCRT and conventional CRT on electrical dyssynchrony. METHODS A prospective, double-blind, 1:1 parallel-group assignment randomized controlled trial in patients receiving CRT for routine clinical indications. Participants underwent cardiac computed tomography and 128-electrode body surface mapping. The primary outcome was change in electrical dyssynchrony measured on the epicardial surface using noninvasive electrocardiographic imaging before and 6 months post-CRT. Ventricular electrical uncoupling (VEU) was calculated as the difference between the mean left ventricular (LV) and right ventricular (RV) activation times. An electrical dyssynchrony index (EDI) was computed as the standard deviation of local epicardial activation times. RESULTS We randomized 27 participants (aged 64 ± 12 years; 34% female; 53% ischemic cardiomyopathy; LV ejection fraction 28% ± 8%; QRS duration 155 ± 21 ms; typical left bundle branch block [LBBB] in 13%) to conventional CRT (n = 15) vs aCRT (n = 12). In atypical LBBB (n = 11; 41%) with S waves in V5-V6, conduction block occurred in the anterior RV, as opposed to the interventricular groove in strict LBBB. As compared to baseline, VEU reduced post-CRT in the aCRT (median reduction 18.9 [interquartile range 4.3-29.2 ms; P = .034]), but not in the conventional CRT (21.4 [-30.0 to 49.9 ms; P = .525]) group. There were no differences in the degree of change in VEU and EDI indices between treatment groups. CONCLUSION The effect of aCRT and conventional CRT on electrical dyssynchrony is largely similar, but only aCRT harmoniously reduced interventricular dyssynchrony by reducing RV uncoupling.
Collapse
Affiliation(s)
- Kazi T. Haq
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Nichole M. Rogovoy
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Jason A. Thomas
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- University of Washington, Seattle, Washington
| | - Christopher Hamilton
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Katherine J. Lutz
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Ashley Wirth
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Aron B. Bender
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- University of California Los Angeles, Los Angeles, California
| | - David M. German
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Ryle Przybylowicz
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | | | - Thomas A. Dewland
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- University of California San Francisco, San Francisco, California
| | - Khidir Dalouk
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- VA Portland Health Care System, Portland, Oregon
| | - Eric Stecker
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Babak Nazer
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Peter M. Jessel
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- VA Portland Health Care System, Portland, Oregon
| | - Karen S. MacMurdy
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- VA Portland Health Care System, Portland, Oregon
| | - Ignatius Gerardo E. Zarraga
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- VA Portland Health Care System, Portland, Oregon
| | - Bassel Beitinjaneh
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Charles A. Henrikson
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Merritt Raitt
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- VA Portland Health Care System, Portland, Oregon
| | - Cristina Fuss
- Department of Diagnostic Radiology, Oregon Health & Science University, Portland, Oregon
| | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | | |
Collapse
|
15
|
Excitation and Contraction of the Failing Human Heart In Situ and Effects of Cardiac Resynchronization Therapy: Application of Electrocardiographic Imaging and Speckle Tracking Echo-Cardiography. HEARTS 2021. [DOI: 10.3390/hearts2030027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Despite the success of cardiac resynchronization therapy (CRT) for treating heart failure (HF), the rate of nonresponders remains 30%. Improvements to CRT require understanding of reverse remodeling and the relationship between electrical and mechanical measures of synchrony. The objective was to utilize electrocardiographic imaging (ECGI, a method for noninvasive cardiac electrophysiology mapping) and speckle tracking echocardiography (STE) to study the physiology of HF and reverse remodeling induced by CRT. We imaged 30 patients (63% male, mean age 63.7 years) longitudinally using ECGI and STE. We quantified CRT-induced remodeling of electromechanical parameters and evaluated a novel index, the electromechanical delay (EMD, the delay from activation to peak contraction). We also measured dyssynchrony using ECGI and STE and compared their effectiveness for predicting response to CRT. EMD values were elevated in HF patients compared to controls. However, the EMD values were dependent on the activation sequence (CRT-paced vs. un-paced), indicating that the EMD is not intrinsic to the local tissue, but is influenced by factors such as opposing wall contractions. After 6 months of CRT, patients had increased contraction in native rhythm compared to baseline pre-CRT (baseline: −8.55%, 6 months: −10.14%, p = 0.008). They also had prolonged repolarization at the location of the LV pacing lead. The pre-CRT delay between mean lateral LV and RV electrical activation time was the best predictor of beneficial reduction in LV end systolic volume by CRT (Spearman’s Rho: −0.722, p < 0.001); it outperformed mechanical indices and 12-lead ECG criteria. HF patients have abnormal EMD. The EMD depends upon the activation sequence and is not predictive of response to CRT. ECGI-measured LV activation delay is an effective index for CRT patient selection. CRT causes persistent improvements in contractile function.
Collapse
|
16
|
Varma N. Fine-tuning delivery of cardiac resynchronization therapy: Optimization for "triple fusion". HeartRhythm Case Rep 2021; 7:425-428. [PMID: 34194995 PMCID: PMC8226313 DOI: 10.1016/j.hrcr.2021.03.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
|
17
|
Arnold AD, Shun‐Shin MJ, Keene D, Howard JP, Chow J, Lim E, Lampridou S, Miyazawa AA, Muthumala A, Tanner M, Qureshi NA, Lefroy DC, Koa‐Wing M, Linton NWF, Boon Lim P, Peters NS, Kanagaratnam P, Auricchio A, Francis DP, Whinnett ZI. Electrocardiographic predictors of successful resynchronization of left bundle branch block by His bundle pacing. J Cardiovasc Electrophysiol 2021; 32:428-438. [PMID: 33345379 PMCID: PMC8607473 DOI: 10.1111/jce.14845] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/26/2020] [Accepted: 12/06/2020] [Indexed: 01/15/2023]
Abstract
BACKGROUND His bundle pacing (HBP) is an alternative to biventricular pacing (BVP) for delivering cardiac resynchronization therapy (CRT) in patients with heart failure and left bundle branch block (LBBB). It is not known whether ventricular activation times and patterns achieved by HBP are equivalent to intact conduction systems and not all patients with LBBB are resynchronized by HBP. OBJECTIVE To compare activation times and patterns of His-CRT with BVP-CRT, LBBB and intact conduction systems. METHODS In patients with LBBB, noninvasive epicardial mapping (ECG imaging) was performed during BVP and temporary HBP. Intrinsic activation was mapped in all subjects. Left ventricular activation times (LVAT) were measured and epicardial propagation mapping (EPM) was performed, to visualize epicardial wavefronts. Normal activation pattern and a normal LVAT range were determined from normal subjects. RESULTS Forty-five patients were included, 24 with LBBB and LV impairment, and 21 with normal 12-lead ECG and LV function. In 87.5% of patients with LBBB, His-CRT successfully shortened LVAT by ≥10 ms. In 33.3%, His-CRT resulted in complete ventricular resynchronization, with activation times and patterns indistinguishable from normal subjects. EPM identified propagation discontinuity artifacts in 83% of patients with LBBB. This was the best predictor of whether successful resynchronization was achieved by HBP (logarithmic odds ratio, 2.19; 95% confidence interval, 0.07-4.31; p = .04). CONCLUSION Noninvasive electrocardiographic mapping appears to identify patients whose LBBB can be resynchronized by HBP. In contrast to BVP, His-CRT may deliver the maximum potential ventricular resynchronization, returning activation times, and patterns to those seen in normal hearts.
Collapse
Affiliation(s)
- Ahran D. Arnold
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Matthew J. Shun‐Shin
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | | | - James P. Howard
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Ji‐Jian Chow
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Elaine Lim
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Smaragda Lampridou
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Alejandra A. Miyazawa
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Amal Muthumala
- Cardiology DepartmentNorth Middlesex University Hospital NHS TrustLondonUK
- Cardiology DepartmentSt. Bartholomew's Hospital, Barts Health NHS TrustLondonUK
| | - Mark Tanner
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Norman A. Qureshi
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - David C. Lefroy
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Michael Koa‐Wing
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Nick W. F. Linton
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Phang Boon Lim
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Nicholas S. Peters
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Prapa Kanagaratnam
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Angelo Auricchio
- Division of CardiologyFondazione Cardiocentro TicinoLuganoSwitzerland
| | - Darrel P. Francis
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| | - Zachary I. Whinnett
- National Heart and Lung InstituteImperial College London, Hammersmith HospitalLondonUK
| |
Collapse
|
18
|
Ueda N, Noda T, Nakajima I, Ishibashi K, Nakajima K, Kamakura T, Wada M, Yamagata K, Inoue Y, Miyamoto K, Nagase S, Aiba T, Kiso K, Kanzaki H, Izumi C, Noguchi T, Yasuda S, Kusano K. Clinical impact of left ventricular paced conduction disturbance in cardiac resynchronization therapy. Heart Rhythm 2020; 17:1870-1877. [DOI: 10.1016/j.hrthm.2020.05.031] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 05/14/2020] [Accepted: 05/19/2020] [Indexed: 11/29/2022]
|
19
|
Rickard J, Jackson K, Biffi M, Vernooy K, Bank A, Cerkvenik J, Ghosh S, Gold MR. The ECG Belt for CRT response trial: Design and clinical protocol. Pacing Clin Electrophysiol 2020; 43:1063-1071. [PMID: 32537740 DOI: 10.1111/pace.13985] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/17/2020] [Accepted: 05/10/2020] [Indexed: 11/29/2022]
Abstract
The ECG Belt for CRT response trial is designed to test the hypothesis that in patients traditionally less likely to respond to cardiac resynchronization therapy (CRT), an individualized approach utilizing the electrocardiogram (ECG) Belt to guide lead placement, vector selection, and device programming is superior to current standard of care. The ECG Belt is a noninvasive mapping technology designed to measure beat by beat electrical activation of the left ventricle by utilizing unipolar measurements from multiple ECG electrodes on the body surface. The ECG Belt for CRT response trial is a multicenter, prospective, randomized, investigational pre-market research study conducted at 48 centers in the United States, Canada, and Europe and will randomize approximately 400 subjects. The trial has three arms (enrollment will be 2:1:1, respectively): utilization of the Belt to guide implant as well as postimplant programming, utilizing the Belt to guide postimplant programming alone, and a non-Belt control arm. AdaptivCRT will be an option in the treatment arm but not the control arms. The primary endpoint is change in left ventricular end-systolic volume between preimplant and at 6 months. This paper describes the design and analytic plan for the trial.
Collapse
Affiliation(s)
| | - Kevin Jackson
- Duke University Medical Center, Durham, North Carolina
| | - Mauro Biffi
- Policlinico Sant'Orsola-Malpighi, University of Bologna, Bologna, Italy
| | - Kevin Vernooy
- Department of Cardiology, Maastricht Universitair Medisch Centrum, Maastricht, The Netherlands
| | - Alan Bank
- United Heart and Vascular Clinic, St Paul, Minnesota
| | | | | | - Michael R Gold
- Department of Medicine, Division of Cardiology, Medical University of South Carolina, Charleston, South Carolina
| |
Collapse
|
20
|
Pereira H, Niederer S, Rinaldi CA. Electrocardiographic imaging for cardiac arrhythmias and resynchronization therapy. Europace 2020; 22:euaa165. [PMID: 32754737 PMCID: PMC7544539 DOI: 10.1093/europace/euaa165] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 05/25/2020] [Indexed: 12/12/2022] Open
Abstract
Use of the 12-lead electrocardiogram (ECG) is fundamental for the assessment of heart disease, including arrhythmias, but cannot always reveal the underlying mechanism or the location of the arrhythmia origin. Electrocardiographic imaging (ECGi) is a non-invasive multi-lead ECG-type imaging tool that enhances conventional 12-lead ECG. Although it is an established technology, its continuous development has been shown to assist in arrhythmic activation mapping and provide insights into the mechanism of cardiac resynchronization therapy (CRT). This review addresses the validity, reliability, and overall feasibility of ECGi for use in a diverse range of arrhythmias. A systematic search limited to full-text human studies published in peer-reviewed journals was performed through Medline via PubMed, using various combinations of three key concepts: ECGi, arrhythmia, and CRT. A total of 456 studies were screened through titles and abstracts. Ultimately, 42 studies were included for literature review. Evidence to date suggests that ECGi can be used to provide diagnostic insights regarding the mechanistic basis of arrhythmias and the location of arrhythmia origin. Furthermore, ECGi can yield valuable information to guide therapeutic decision-making, including during CRT. Several studies have used ECGi as a diagnostic tool for atrial and ventricular arrhythmias. More recently, studies have tested the value of this technique in predicting outcomes of CRT. As a non-invasive method for assessing cardiovascular disease, particularly arrhythmias, ECGi represents a significant advancement over standard procedures in contemporary cardiology. Its full potential has yet to be fully explored.
Collapse
Affiliation(s)
- Helder Pereira
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, 4th Floor, Lambeth Wing, St. Thomas’ Hospital, Westminster Bridge Rd, London SE1 7EH, UK
- Cardiac Physiology Services—Clinical Investigation Centre, Bupa Cromwell Hospital, London, UK
| | - Steven Niederer
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, 4th Floor, Lambeth Wing, St. Thomas’ Hospital, Westminster Bridge Rd, London SE1 7EH, UK
| | - Christopher A Rinaldi
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, 4th Floor, Lambeth Wing, St. Thomas’ Hospital, Westminster Bridge Rd, London SE1 7EH, UK
- Cardiovascular Department, Guys and St Thomas NHS Foundation Trust, London, UK
| |
Collapse
|
21
|
Moubarak G, Sebag FA, Socie P, Villejoubert O, Louembe J, Ferchaud V. Interrelationships between interventricular electrical delays in cardiac resynchronization therapy. J Cardiovasc Electrophysiol 2020; 31:2405-2414. [PMID: 32562444 DOI: 10.1111/jce.14629] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 06/07/2020] [Accepted: 06/14/2020] [Indexed: 11/28/2022]
Abstract
INTRODUCTION In cardiac resynchronization therapy, pacing the left ventricle (LV) at sites of prolonged electrical delay is associated with better outcomes. We sought to characterize the interrelationships between intrinsic, right-ventricular (RV)-paced, and LV-paced interventricular delays. METHODS AND RESULTS The following electrical timings were measured at implantation for all electrodes of the LV quadripolar leads: QLV, interventricular delay in intrinsic rhythm (RVs-LVs), in RV-paced rhythm (RVp-LVs), and in LV-paced rhythm (LVp-RVs). We included 32 patients (78% men, age 72 years, LV ejection fraction 29%, left bundle branch block 84%). QLV and RVs-LVs were correlated (R2 = .72, p < .0001), as were RVs-LVs and RVp-LVs (R2 = .27, p = .002) and RVp-LVs and LVp-RVs (R2 = .60, p < .001). Direction of activation along the four LV lead electrodes was concordant between RVs-LVs and RVp-LVs in only 17 (53%) patients. The latest-activated electrodes in RVs-LVs and RVp-LVs were concordant in 26 (81%) patients, adjacent in 3 (9%) patients, and remote in 3 (9%) patients. Biventricular-paced QRS duration varied by more than 10 ms between the two electrodes in half of the patients with dissimilar latest electrodes. Among the seven echocardiographic nonresponders at 6 months, the programmed electrode was remote from the latest electrode in RVs-LVs in five patients and in RVp-LVs in three patients. CONCLUSION Intrinsic and RV-paced interventricular electrical delays are correlated, but there is substantial heterogeneity between patients. The latest-activated electrode may be different between RVs-LVs and RVp-LVs, and this might have important implications in selecting the optimal LV vector.
Collapse
Affiliation(s)
- Ghassan Moubarak
- Department of Electrophysiology and Pacing, Centre Médico-Chirurgical Ambroise Paré, Neuilly-sur-Seine, France
| | - Frédéric A Sebag
- Département de Cardiologie Médicale, Institut Mutualiste Montsouris, Paris, France
| | - Pierre Socie
- Department of Cardiology, Centre Hospitalier de Chartres, Chartres, France
| | - Olivier Villejoubert
- Département de Cardiologie Médicale, Institut Mutualiste Montsouris, Paris, France
| | - Jules Louembe
- Department of Cardiology, Hôpital d'Instruction des Armées Percy, Clamart, France
| | - Virginie Ferchaud
- Department of Electrophysiology and Pacing, Centre Médico-Chirurgical Ambroise Paré, Neuilly-sur-Seine, France.,Department of Cardiology, Centre Hospitalier Universitaire de Caen Normandie, Caen, France
| |
Collapse
|
22
|
Wisnoskey BJ, Varma N. Left ventricular paced activation in cardiac resynchronization therapy patients with left bundle branch block and relationship to its electrical substrate. Heart Rhythm O2 2020; 1:85-95. [PMID: 34113862 PMCID: PMC8183968 DOI: 10.1016/j.hroo.2020.04.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Background Cardiac resynchronization therapy (CRT) uses left ventricular (LV) pacing to restore rapid synchronized LV activation when it is delayed in patients with myocardial disease. Objective Although intrinsic LV activation delays are understood, little is known about reactions to LV stimulation and whether they are affected by QRS duration (QRSd), morphology, LV substrate, or choice of electrode pair. The purpose of this study was to test these interactions. Methods In 120 heart failure patients with left bundle branch block (LBBB) and QRS >120 ms receiving CRT with quadripolar LV leads, device-based measurements of intrinsic activation delay (qLV) and paced inter- (and intra-) LV conduction times were evaluated at the proximal and distal LV bipoles. Results During intrinsic conduction, qLV varied little between the proximal and distal pairs in patients with LBBB (n = 120; age 68 ± 11 years; 63% male; ejection fraction 25% ± 7%; 33% ischemic cardiomyopathy; QRSd 162 ± 19 ms). A minority (30%) had conduction barriers (ie, gradients) (ΔqLV 29 ± 8 ms vs 9 ± 5 ms in patients without gradients; P <.01), which occurred equally in ischemic and nonischemic patients. A majority were functional (and not scar-mediated), as they resolved with pacing in most patients (75%). Importantly, LV-paced conduction times were unrelated to baseline QRS morphology (LBBB 166 ± 30 ms vs RBBB control 172 ± 30 ms; P = NS), longer than intrinsic conduction (166 ± 30 ms vs 129 ± 28 ms; P <.01), and varied significantly by electrode pair (ie, small distances) and etiology. Correlation between intrinsic activation delay (qLV) and LV-paced conduction time was poor (R2 = 0.278; P <.05). Conclusion LV-paced effect, which is core to CRT, is unpredictable based on conventionally used measures and should be considered during CRT optimization.
Collapse
Affiliation(s)
| | - Niraj Varma
- Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio
| |
Collapse
|
23
|
Elliott MK, Mehta V, Sidhu BS, Niederer S, Rinaldi CA. Electrocardiographic imaging of His bundle, left bundle branch, epicardial, and endocardial left ventricular pacing to achieve cardiac resynchronization therapy. HeartRhythm Case Rep 2020; 6:460-463. [PMID: 32695602 PMCID: PMC7361176 DOI: 10.1016/j.hrcr.2020.04.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
- Mark K Elliott
- School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom.,Guy's and St Thomas' Hospital, London, United Kingdom
| | - Vishal Mehta
- School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom.,Guy's and St Thomas' Hospital, London, United Kingdom
| | - Baldeep Singh Sidhu
- School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom.,Guy's and St Thomas' Hospital, London, United Kingdom
| | - Steven Niederer
- School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom
| | - Christopher A Rinaldi
- School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom.,Guy's and St Thomas' Hospital, London, United Kingdom
| |
Collapse
|
24
|
Jurak P, Curila K, Leinveber P, Prinzen FW, Viscor I, Plesinger F, Smisek R, Prochazkova R, Osmancik P, Halamek J, Matejkova M, Lipoldova J, Novak M, Panovsky R, Andrla P, Vondra V, Stros P, Vesela J, Herman D. Novel ultra‐high‐frequency electrocardiogram tool for the description of the ventricular depolarization pattern before and during cardiac resynchronization. J Cardiovasc Electrophysiol 2019; 31:300-307. [DOI: 10.1111/jce.14299] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 11/18/2019] [Accepted: 11/23/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Pavel Jurak
- Institute of Scientific InstrumentsThe Czech Academy of SciencesBrno Czech Republic
| | - Karol Curila
- Department of Cardiology, Cardiocenter, Third Faculty of MedicineCharles University, University Hospital Kralovske VinohradyPrague Czech Republic
| | - Pavel Leinveber
- International Clinical Research CenterSt Anneʼs University HospitalBrno Czech Republic
- First Department of Internal Medicine‐CardioangiologyFaculty of Medicine of Masaryk University, St Anneʼs University HospitalBrno Czech Republic
| | - Frits W. Prinzen
- Department of Physiology, Cardiovascular Research Institute MaastrichtMaastricht UniversityMaastricht The Netherlands
| | - Ivo Viscor
- Institute of Scientific InstrumentsThe Czech Academy of SciencesBrno Czech Republic
| | - Filip Plesinger
- Institute of Scientific InstrumentsThe Czech Academy of SciencesBrno Czech Republic
| | - Radovan Smisek
- Institute of Scientific InstrumentsThe Czech Academy of SciencesBrno Czech Republic
- Department of Biomedical Engineering, The Faculty of Electrical Engineering and CommunicationBrno University of TechnologyBrno Czech Republic
| | - Radka Prochazkova
- Department of Cardiology, Cardiocenter, Third Faculty of MedicineCharles University, University Hospital Kralovske VinohradyPrague Czech Republic
| | - Pavel Osmancik
- Department of Cardiology, Cardiocenter, Third Faculty of MedicineCharles University, University Hospital Kralovske VinohradyPrague Czech Republic
| | - Josef Halamek
- Institute of Scientific InstrumentsThe Czech Academy of SciencesBrno Czech Republic
| | - Magdalena Matejkova
- International Clinical Research CenterSt Anneʼs University HospitalBrno Czech Republic
| | - Jolana Lipoldova
- International Clinical Research CenterSt Anneʼs University HospitalBrno Czech Republic
- First Department of Internal Medicine‐CardioangiologyFaculty of Medicine of Masaryk University, St Anneʼs University HospitalBrno Czech Republic
| | - Miroslav Novak
- International Clinical Research CenterSt Anneʼs University HospitalBrno Czech Republic
- First Department of Internal Medicine‐CardioangiologyFaculty of Medicine of Masaryk University, St Anneʼs University HospitalBrno Czech Republic
| | - Roman Panovsky
- International Clinical Research CenterSt Anneʼs University HospitalBrno Czech Republic
- First Department of Internal Medicine‐CardioangiologyFaculty of Medicine of Masaryk University, St Anneʼs University HospitalBrno Czech Republic
| | - Petr Andrla
- Institute of Scientific InstrumentsThe Czech Academy of SciencesBrno Czech Republic
| | - Vlastimil Vondra
- Institute of Scientific InstrumentsThe Czech Academy of SciencesBrno Czech Republic
| | - Petr Stros
- Department of Cardiology, Cardiocenter, Third Faculty of MedicineCharles University, University Hospital Kralovske VinohradyPrague Czech Republic
| | - Jana Vesela
- Department of Cardiology, Cardiocenter, Third Faculty of MedicineCharles University, University Hospital Kralovske VinohradyPrague Czech Republic
| | - Dalibor Herman
- Department of Cardiology, Cardiocenter, Third Faculty of MedicineCharles University, University Hospital Kralovske VinohradyPrague Czech Republic
| |
Collapse
|
25
|
Jia P. Understanding unipolar electrograms and global activation from noninvasive mapping for diagnosing arrhythmias. J Electrocardiol 2019; 57S:S10-S14. [PMID: 31679717 DOI: 10.1016/j.jelectrocard.2019.09.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 07/30/2019] [Accepted: 09/05/2019] [Indexed: 10/25/2022]
Abstract
In the past several decades Electrocardiographic Imaging has been developed, validated, and recently commercialized for clinical use (Medtronic CardioInsight™). The technology noninvasively maps cardiac electrical potentials by combining multi-channel body surface electrocardiograms and patient specific heart-torso geometry. Unlike contact catheter mapping where bipolar electrograms are commonly used, noninvasive mapping is unipolar in nature. While bipolar electrograms reflect local activation time, noninvasive mapping reflects both local and global information. Characterizing arrhythmias using noninvasive mapping requires a different approach than what is used with bipolar mapping during electrophysiological studies. With multiple example cases, this article aims to demonstrate how in-depth analysis of noninvasive electrogram features and global activation patterns can reveal clinically important characteristics of arrhythmias, which may not be evident on the automatically generated maps. These characteristics include transmural location of the ectopic focus, differential locations within structural proximity, engagement of bundle or specific tissue, and substrate properties. The analysis approach involves applying unipolar potential fundamentals and relating electrogram features, global activation with underlying electrophysiology and cardiac anatomy to explain specific mapping phenomenon. If validated, easy-to-use diagnostic criteria or algorithms can be built and automated as product features in the commercial system to facilitate future noninvasive mapping in patients.
Collapse
Affiliation(s)
- Ping Jia
- Medtronic, Inc., Independence, OH, USA.
| |
Collapse
|
26
|
Bear LR, LeGrice IJ, Sands GB, Lever NA, Loiselle DS, Paterson DJ, Cheng LK, Smaill BH. How Accurate Is Inverse Electrocardiographic Mapping? A Systematic In Vivo Evaluation. Circ Arrhythm Electrophysiol 2019; 11:e006108. [PMID: 29700057 DOI: 10.1161/circep.117.006108] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 03/12/2018] [Indexed: 01/08/2023]
Abstract
BACKGROUND Inverse electrocardiographic mapping reconstructs cardiac electrical activity from recorded body surface potentials. This noninvasive technique has been used to identify potential ablation targets. Despite this, there has been little systematic evaluation of its reliability. METHODS Torso and ventricular epicardial potentials were recorded simultaneously in anesthetized, closed-chest pigs (n=5), during sinus rhythm, epicardial, and endocardial ventricular pacing (70 records in total). Body surface and cardiac electrode positions were determined and registered using magnetic resonance imaging. Epicardial potentials were reconstructed during ventricular activation using experiment-specific magnetic resonance imaging-based thorax models, with homogeneous or inhomogeneous (lungs, skeletal muscle, fat) electrical properties. Coupled finite/boundary element methods and a meshless approach based on the method of fundamental solutions were compared. Inverse mapping underestimated epicardial potentials >2-fold (P<0.0001). RESULTS Mean correlation coefficients for reconstructed epicardial potential distributions ranged from 0.60±0.08 to 0.64±0.07 across all methods. Epicardial electrograms were recovered with reasonable fidelity at ≈50% of sites (median correlation coefficient, 0.69-0.72), but variation was substantial. General activation spread was reproduced (median correlation coefficient, 0.72-0.78 for activation time maps after spatio-temporal smoothing). Epicardial foci were identified with a median location error ≈16 mm (interquartile range, 9-29 mm). Inverse mapping with meshless method of fundamental solutions was better than with finite/boundary element methods, and the latter were not improved by inclusion of inhomogeneous torso electrical properties. CONCLUSIONS Inverse potential mapping provides useful information on the origin and spread of epicardial activation. However the spatio-temporal variability of recovered electrograms limit resolution and must constrain the accuracy with which arrhythmia circuits can be identified independently using this approach.
Collapse
Affiliation(s)
- Laura R Bear
- Auckland Bioengineering Institute (L.R.B., I.J.L., G.B.S., N.A.L., D.S.L., D.J.P., L.K.C., B.H.S.) .,University of Auckland, New Zealand. IHULIRYC, Fondation Bordeaux Université, France (L.R.B.).,Université de Bordeaux, France (L.R.B.).,Inserm, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, France (L.R.B.)
| | - Ian J LeGrice
- Auckland Bioengineering Institute (L.R.B., I.J.L., G.B.S., N.A.L., D.S.L., D.J.P., L.K.C., B.H.S.).,Department of Physiology (I.J.L., D.S.L., D.J.P., B.H.S.)
| | - Gregory B Sands
- Auckland Bioengineering Institute (L.R.B., I.J.L., G.B.S., N.A.L., D.S.L., D.J.P., L.K.C., B.H.S.)
| | - Nigel A Lever
- Auckland Bioengineering Institute (L.R.B., I.J.L., G.B.S., N.A.L., D.S.L., D.J.P., L.K.C., B.H.S.).,and Department of Medicine (N.A.L.).,Auckland City Hospital, New Zealand (N.A.L.)
| | - Denis S Loiselle
- Auckland Bioengineering Institute (L.R.B., I.J.L., G.B.S., N.A.L., D.S.L., D.J.P., L.K.C., B.H.S.).,Department of Physiology (I.J.L., D.S.L., D.J.P., B.H.S.)
| | - David J Paterson
- Auckland Bioengineering Institute (L.R.B., I.J.L., G.B.S., N.A.L., D.S.L., D.J.P., L.K.C., B.H.S.).,Department of Physiology (I.J.L., D.S.L., D.J.P., B.H.S.).,Department of Physiology, Anatomy, and Genetics, University of Oxford, United Kingdom (D.J.P.)
| | - Leo K Cheng
- Auckland Bioengineering Institute (L.R.B., I.J.L., G.B.S., N.A.L., D.S.L., D.J.P., L.K.C., B.H.S.)
| | - Bruce H Smaill
- Auckland Bioengineering Institute (L.R.B., I.J.L., G.B.S., N.A.L., D.S.L., D.J.P., L.K.C., B.H.S.).,Department of Physiology (I.J.L., D.S.L., D.J.P., B.H.S.)
| |
Collapse
|
27
|
Lee AWC, Nguyen UC, Razeghi O, Gould J, Sidhu BS, Sieniewicz B, Behar J, Mafi-Rad M, Plank G, Prinzen FW, Rinaldi CA, Vernooy K, Niederer S. A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data. Med Image Anal 2019; 57:197-213. [PMID: 31326854 PMCID: PMC6746621 DOI: 10.1016/j.media.2019.06.017] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 06/20/2019] [Accepted: 06/27/2019] [Indexed: 12/13/2022]
Abstract
Background Cardiac Resynchronization Therapy (CRT) is one of the few effective treatments for heart failure patients with ventricular dyssynchrony. The pacing location of the left ventricle is indicated as a determinant of CRT outcome. Objective Patient specific computational models allow the activation pattern following CRT implant to be predicted and this may be used to optimize CRT lead placement. Methods In this study, the effects of heterogeneous cardiac substrate (scar, fast endocardial conduction, slow septal conduction, functional block) on accurately predicting the electrical activation of the LV epicardium were tested to determine the minimal detail required to create a rule based model of cardiac electrophysiology. Non-invasive clinical data (CT or CMR images and 12 lead ECG) from eighteen patients from two centers were used to investigate the models. Results Validation with invasive electro-anatomical mapping data identified that computer models with fast endocardial conduction were able to predict the electrical activation with a mean distance errors of 9.2 ± 0.5 mm (CMR data) or (CT data) 7.5 ± 0.7 mm. Conclusion This study identified a simple rule-based fast endocardial conduction model, built using non-invasive clinical data that can be used to rapidly and robustly predict the electrical activation of the heart. Pre-procedural prediction of the latest electrically activating region to identify the optimal LV pacing site could potentially be a useful clinical planning tool for CRT procedures.
Collapse
Affiliation(s)
- A W C Lee
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
| | - U C Nguyen
- Department of Physiology, Maastricht University Medical Center (MUMC+), Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands; Department of Cardiology, Maastricht University Medical Center (MUMC+), Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands
| | - O Razeghi
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - J Gould
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - B S Sidhu
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - B Sieniewicz
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - J Behar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Bart's Heart Centre, St. Bartholomew's Hospital, London, United Kingdom
| | - M Mafi-Rad
- Department of Cardiology, Maastricht University Medical Center (MUMC+), Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands
| | - G Plank
- Department of Biophysics, Medical University of Graz, Graz, Austria
| | - F W Prinzen
- Department of Physiology, Maastricht University Medical Center (MUMC+), Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands
| | - C A Rinaldi
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - K Vernooy
- Department of Cardiology, Maastricht University Medical Center (MUMC+), Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands; Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - S Niederer
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| |
Collapse
|
28
|
Sieniewicz BJ, Jackson T, Claridge S, Pereira H, Gould J, Sidhu B, Porter B, Niederer S, Yao C, Rinaldi CA. Optimization of CRT programming using non-invasive electrocardiographic imaging to assess the acute electrical effects of multipoint pacing. J Arrhythm 2019; 35:267-275. [PMID: 31007792 PMCID: PMC6457383 DOI: 10.1002/joa3.12153] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 12/13/2018] [Indexed: 12/07/2022] Open
Abstract
AIM Quadripolar lead technology and multi-point pacing (MPP) are important clinical adjuncts in cardiac resynchronization therapy (CRT) pacing aimed at reducing the rate of non-response to therapy. Mixed results have been achieved using MPP and it is critical to identify which patients require this approach and how to configure their MPP stimulation, in order to achieve optimal electrical resynchronization. METHODS & RESULTS We sought to investigate whether electrocardiographic imaging (ECGi), using the CARDIOINSIGHT ™ inverse ECG mapping system, could identify alterations in electrical resynchronization during different methods of device optimization. In no patient did a single form of programming optimization provide the best electrical response. The effects of utilizing MPP were idiosyncratic and highly patient specific. ECGi activation maps were clearly able to discern changes in bulk LV activation during differing MPP programming. In two of the five subjects, MPP resulted in more rapid activation of the left ventricle compared to standard CRT; however, in the remaining three patients, the use of MPP did not appear to acutely improve electrical resynchronization. Crucially, this cohort showed evidence of extensive LV scarring which was well visualized using both CMR and ECGi voltage mapping. CONCLUSIONS Our work suggests a potential role for ECGi in the optimization of non-responders to CRT, as it allows the fusion of activation maps and scar analysis above and beyond interrogation of the 12 lead ECG.
Collapse
Affiliation(s)
- Benjamin J. Sieniewicz
- Division of Imaging Sciences and Biomedical EngineeringKing's College LondonLondonUK
- Cardiology DepartmentGuys and St Thomas’ NHS Foundation TrustLondonUK
| | - Tom Jackson
- Division of Imaging Sciences and Biomedical EngineeringKing's College LondonLondonUK
- Cardiology DepartmentGuys and St Thomas’ NHS Foundation TrustLondonUK
| | - Simon Claridge
- Division of Imaging Sciences and Biomedical EngineeringKing's College LondonLondonUK
- Cardiology DepartmentGuys and St Thomas’ NHS Foundation TrustLondonUK
| | - Helder Pereira
- Division of Imaging Sciences and Biomedical EngineeringKing's College LondonLondonUK
| | - Justin Gould
- Division of Imaging Sciences and Biomedical EngineeringKing's College LondonLondonUK
- Cardiology DepartmentGuys and St Thomas’ NHS Foundation TrustLondonUK
| | - Baldeep Sidhu
- Division of Imaging Sciences and Biomedical EngineeringKing's College LondonLondonUK
- Cardiology DepartmentGuys and St Thomas’ NHS Foundation TrustLondonUK
| | - Bradley Porter
- Division of Imaging Sciences and Biomedical EngineeringKing's College LondonLondonUK
- Cardiology DepartmentGuys and St Thomas’ NHS Foundation TrustLondonUK
| | - Steve Niederer
- Division of Imaging Sciences and Biomedical EngineeringKing's College LondonLondonUK
| | - Cheng Yao
- CardioInsight Technologies, MedtronicMinneapolisMinnesota
| | - Christopher A. Rinaldi
- Division of Imaging Sciences and Biomedical EngineeringKing's College LondonLondonUK
- Cardiology DepartmentGuys and St Thomas’ NHS Foundation TrustLondonUK
| |
Collapse
|
29
|
Potyagaylo D, Chmelevsky M, van Dam P, Budanova M, Zubarev S, Treshkur T, Lebedev D. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients. Front Physiol 2019; 10:183. [PMID: 30914963 PMCID: PMC6421262 DOI: 10.3389/fphys.2019.00183] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 02/14/2019] [Indexed: 01/15/2023] Open
Abstract
Although model-based solution strategies for the ECGI were reported to deliver promising clinical results, they strongly rely on some a priori assumptions, which do not hold true for many pathological cases. The fastest route algorithm (FRA) is a well-established method for noninvasive imaging of ectopic activities. It generates test activation sequences on the heart and compares the corresponding test body surface potential maps (BSPMs) to the measured ones. The test excitation propagation patterns are constructed under the assumption of a global conduction velocity in the heart, which is violated in the cardiac resynchronization (CRT) patients suffering from conduction disturbances. In the present work, we propose to apply dynamic time warping (DTW) to the test and measured ECGs before measuring their similarity. The warping step is a non-linear pattern matching that compensates for local delays in the temporal sequences, thus accounting for the inhomogeneous excitation propagation, while aligning them in an optimal way with respect to a distance function. To evaluate benefits of the temporal warping for FRA-based BSPMs, we considered three scenarios. In the first setting, a simplified simulation example was constructed to illustrate the temporal warping and display the resulting distance map. Then, we applied the proposed method to eight BSPMs produced by realistic ectopic activation sequences and compared its performance to FRA. Finally, we assessed localization accuracy of both techniques in ten CRT patients. For each patient, we noninvasively imaged two paced ECGs: from left and right ventricular implanted leads. In all scenarios, FRA-DTW outperformed FRA in terms of LEs. For the clinical cases, the median (25-75% range) distance errors were reduced from 16 (8-23)mm to 5 (2-10)mm for all pacings, from 15 (11-25)mm to 8 (3-13)mm in the left, and from 19 (6-23)mm to 4 (2-8)mm in the right ventricle, respectively. The obtained results suggest the ability of temporal ECG warping to compensate for an inhomogeneous conduction profile, while retaining computational efficiency intrinsic to FRA.
Collapse
Affiliation(s)
| | - Mikhail Chmelevsky
- EP Solutions SA, Yverdon-les-Bains, Switzerland.,Almazov National Medical Research Center, Saint Petersburg, Russia
| | - Peter van Dam
- Cardiology Department, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Stepan Zubarev
- Almazov National Medical Research Center, Saint Petersburg, Russia
| | - Tatjana Treshkur
- Almazov National Medical Research Center, Saint Petersburg, Russia
| | - Dmitry Lebedev
- Almazov National Medical Research Center, Saint Petersburg, Russia
| |
Collapse
|
30
|
Strik M, Ploux S, Jankelson L, Bordachar P. Non-invasive cardiac mapping for non-response in cardiac resynchronization therapy. Ann Med 2019; 51:109-117. [PMID: 31094217 PMCID: PMC7857455 DOI: 10.1080/07853890.2019.1616109] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Abstract
Cardiac resynchronization therapy (CRT) is an effective intervention in selected patients with moderate-to-severe heart failure with reduced ejection fraction and abnormal left ventricular activation time. The non-response rate of approximately 30% has remained nearly unchanged since this therapy was introduced 25 years ago. While intracardiac mapping is widely used for diagnosis and guidance of therapy in patients with tachyarrhythmia, its application in characterization of the electrical substrate to elucidate the mechanisms involved in CRT response remain anecdotal. In the present review, we describe the traditional determinants of CRT response before presenting novel non-invasive techniques used for CRT optimization. We discuss efforts to identify the target electrical substrate to guide the deployment of pacing electrodes during the operative procedure. Non-invasive body surface mapping technologies such as ECG imaging or ECG belt enables prediction of acute and chronic CRT response. While electrical dyssynchrony parameters provide high predictive accuracy for CRT response when obtained during intrinsic conduction, their predictive value is less when acquired during CRT or LV-pacing. Key messages Classic predictors of CRT response are female gender, NYHA class ≤ III, left ventricular ejection fraction ≥25%, QRS duration ≥150 ms and estimated glomerular filtration rate ≥60 mL/min. ECG-imaging is a comprehensive non-invasive mapping system which allows to express the amount of electrical asynchrony of a CRT candidate. Non-invasive body surface mapping technologies enables excellent prediction of acute and chronic CRT response before implantation. When performed during CRT or LV-pacing, the added value of these mapping systems remains unclear.
Collapse
Affiliation(s)
- Marc Strik
- a IHU Liryc , Electrophysiology and Heart Modeling Institute , Bordeaux , France.,b Cardio-Thoracic Unit , Bordeaux University Hospital , Bordeaux , France.,c Maastricht University Medical Center , Cardiovascular Research Institute Maastricht , Maastricht , the Netherlands
| | - Sylvain Ploux
- a IHU Liryc , Electrophysiology and Heart Modeling Institute , Bordeaux , France.,b Cardio-Thoracic Unit , Bordeaux University Hospital , Bordeaux , France
| | - Lior Jankelson
- d Cardiac Electrophysiology, Division of Cardiology, NYU Langone Health , New York University School of Medicine , NY , USA
| | - Pierre Bordachar
- a IHU Liryc , Electrophysiology and Heart Modeling Institute , Bordeaux , France.,b Cardio-Thoracic Unit , Bordeaux University Hospital , Bordeaux , France
| |
Collapse
|
31
|
Loring Z, Atwater BD, Xia X, Axelsson J, Klem I, Nijveldt R, Schelbert EB, Couderc JP, Strauss DG, Ugander M, Wieslander B. Low lead one ratio predicts clinical outcomes in left bundle branch block. J Cardiovasc Electrophysiol 2019; 30:709-716. [PMID: 30740823 DOI: 10.1111/jce.13875] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 01/02/2019] [Accepted: 02/06/2019] [Indexed: 01/13/2023]
Abstract
INTRODUCTION We evaluated the association between a novel electrocardiographic (ECG) marker of late, rightward electrocardiographic forces (termed the lead one ratio [LOR]), and left ventricular ejection fraction (LVEF), myocardial scar, and clinical outcomes in patients with left bundle branch block (LBBB). METHODS AND RESULTS LOR was calculated in patients with LBBB from a derivation cohort (n = 240) and receiver operator characteristic curves identified optimal threshold values for predicting myocardial scar and LVEF less than 35%. An independent validation cohort of patients with LBBB (n = 196) was used to test the association of LOR with the myocardial scar, LVEF, and the likelihood of death, heart transplant or left ventricular assist device (LVAD) implantation. The optimal thresholds in the derivation cohort were LOR less than 13.7 for identification of scar (sensitivity 55%, specificity 80%), and LOR less than 12.1 for LVEF less than 35% (sensitivity 49%, specificity 80%). In the validation cohort, LOR less than 13.7 was not associated with scar size or presence (P > 0.05 for both). LOR less than 12.1 was associated with lower LVEF (30 [20-40] versus 40 [25-55]%; P = 0.002) and predicted LVEF less than 35% in univariable (odds ratio [OR], 2.2 [1.2-4.1]; P = 0.01) and multivariable analysis (OR, 2.2 [1.2-4.3]; P = 0.02). LOR less than 12.1 was associated with scar presence when patients with nonischemic cardiomyopathy were excluded (OR = 7.2 [1.5-33.2]; P = 0.002). LOR less than 12.1 had an adjusted hazard ratio of 1.53 ([1.05-2.21]; P = 0.03) for death, transplant or LVAD implantation. CONCLUSIONS In conclusion, ECG LOR less than 12.1 predicts reduced-LV systolic function and poorer prognosis in patients with LBBB.
Collapse
Affiliation(s)
- Zak Loring
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina.,Department of Health Services, University of Washington, Seattle, Washington
| | - Brett D Atwater
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina.,Department of Health Services, University of Washington, Seattle, Washington
| | - Xiaojuan Xia
- Department of Health Services, University of Washington, Seattle, Washington.,Cardiology Department, Heart Research Follow-Up Program, University of Rochester, New York
| | - Jimmy Axelsson
- Department of Health Services, University of Washington, Seattle, Washington.,Department of Clinical Physiology, Karolinska Institute, and Karolinska University Hospital, Stockholm, Sweden
| | - Igor Klem
- Department of Health Services, University of Washington, Seattle, Washington
| | - Robin Nijveldt
- Department of Health Services, University of Washington, Seattle, Washington.,Department of Cardiology, VU University Medical Center, Amsterdam, The Netherlands
| | - Erik B Schelbert
- Department of Health Services, University of Washington, Seattle, Washington.,Division of Cardiology, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Jean-Philippe Couderc
- Department of Health Services, University of Washington, Seattle, Washington.,Cardiology Department, Heart Research Follow-Up Program, University of Rochester, New York
| | - David G Strauss
- Department of Health Services, University of Washington, Seattle, Washington.,Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Science, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Martin Ugander
- Department of Health Services, University of Washington, Seattle, Washington.,Department of Clinical Physiology, Karolinska Institute, and Karolinska University Hospital, Stockholm, Sweden
| | - Björn Wieslander
- Department of Health Services, University of Washington, Seattle, Washington.,Cardiology Department, Heart Research Follow-Up Program, University of Rochester, New York.,Department of Clinical Physiology, Karolinska Institute, and Karolinska University Hospital, Stockholm, Sweden
| |
Collapse
|
32
|
Varma N, Ghanem R, Jia P. Pacing prescription for cardiac resynchronization therapy: When RV stimulation matters. J Cardiovasc Electrophysiol 2019; 30:769-770. [PMID: 30661268 DOI: 10.1111/jce.13850] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 01/03/2019] [Indexed: 11/27/2022]
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) aims to correct delayed left ventricle (LV) activation resulting from left bundle branch block (LBBB). The source of LV activation delay resides in the septum and/or anterior LV. LV pacing, timed with intrinsic right bundle branch (RBB) conduction, may restore "physiological" biventricular activation. This is not assured because LV paced wavefronts themselves propagate unpredictably. Less studied are effects of right ventricle (RV) pacing on LV activation in heart failure (HF) patients with LBBB. METHODS AND RESULTS In this case RV pacing pre-excited precisely the region left behind during LV pacing. Consequently, biventricular pacing produced confluent LV depolarization (the patient "responded" to this with reverse remodeling). CONCLUSION Successful electrical resynchronization requires best combination and timing of paced/intrinsic wavefront(s). This demands individualization. Sometimes, an RV paced wavefront may be valuable to resynchronization.
Collapse
Affiliation(s)
- Niraj Varma
- Cardiac Electrophysiology Section, Department of Cardiology, University Hospitals, Cleveland, Ohio
| | - Raja Ghanem
- Cardiac Bioelectricity Research and Training Center, Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio
| | - Ping Jia
- Cardiac Bioelectricity Research and Training Center, Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio
| |
Collapse
|
33
|
QRS Complex Detection and Measurement Algorithms for Multichannel ECGs in Cardiac Resynchronization Therapy Patients. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM 2018; 6:1900211. [PMID: 30443440 PMCID: PMC6231906 DOI: 10.1109/jtehm.2018.2844195] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2018] [Revised: 05/10/2018] [Accepted: 05/20/2018] [Indexed: 01/03/2023]
Abstract
We developed an automated approach for QRS complex detection and QRS duration (QRSd) measurement that can effectively analyze multichannel electrocardiograms (MECGs) acquired during abnormal conduction and pacing in heart failure and cardiac resynchronization therapy (CRT) patients to enable the use of MECGs to characterize cardiac activation in such patients. The algorithms use MECGs acquired with a custom 53-electrode investigational body surface mapping system and were validated using previously collected data from 58 CRT patients. An expert cohort analyzed the same data to determine algorithm accuracy and error. The algorithms: 1) detect QRS complexes; 2) identify complexes of the most prevalent morphology and morphologic outliers; and 3) determine the array-specific (i.e., anterior and posterior) and global QRS complex onsets, offsets, and durations for the detected complexes. The QRS complex detection algorithm had a positive predictivity and sensitivity of ≥96% for complex detection and classification. The absolute QRSd error was 17 ± 14 ms, or 12%, for array-specific QRSd and 12 ± 10 ms, or 8%, for global QRSd. The absolute global QRSd error (12 ms) was less than the interobserver variation in that measurement (15 ± 10 ms). The sensitivity, positive predictivity, and error of the algorithms were similar to the values reported for current state-of-the-art algorithms designed for and limited to simpler data sets and conduction patterns and within the variation found in clinical 12-lead ECG QRSd measurement techniques. These new algorithms permit accurate, real-time analysis of QRS complex features in MECGs in patients with conduction disorders and/or pacing.
Collapse
|
34
|
Cheniti G, Vlachos K, Pambrun T, Hooks D, Frontera A, Takigawa M, Bourier F, Kitamura T, Lam A, Martin C, Dumas-Pommier C, Puyo S, Pillois X, Duchateau J, Klotz N, Denis A, Derval N, Jais P, Cochet H, Hocini M, Haissaguerre M, Sacher F. Atrial Fibrillation Mechanisms and Implications for Catheter Ablation. Front Physiol 2018; 9:1458. [PMID: 30459630 PMCID: PMC6232922 DOI: 10.3389/fphys.2018.01458] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 09/26/2018] [Indexed: 01/14/2023] Open
Abstract
AF is a heterogeneous rhythm disorder that is related to a wide spectrum of etiologies and has broad clinical presentations. Mechanisms underlying AF are complex and remain incompletely understood despite extensive research. They associate interactions between triggers, substrate and modulators including ionic and anatomic remodeling, genetic predisposition and neuro-humoral contributors. The pulmonary veins play a key role in the pathogenesis of AF and their isolation is associated to high rates of AF freedom in patients with paroxysmal AF. However, ablation of persistent AF remains less effective, mainly limited by the difficulty to identify the sources sustaining AF. Many theories were advanced to explain the perpetuation of this form of AF, ranging from a single localized focal and reentrant source to diffuse bi-atrial multiple wavelets. Translating these mechanisms to the clinical practice remains challenging and limited by the spatio-temporal resolution of the mapping techniques. AF is driven by focal or reentrant activities that are initially clustered in a relatively limited atrial surface then disseminate everywhere in both atria. Evidence for structural remodeling, mainly represented by atrial fibrosis suggests that reentrant activities using anatomical substrate are the key mechanism sustaining AF. These reentries can be endocardial, epicardial, and intramural which makes them less accessible for mapping and for ablation. Subsequently, early interventions before irreversible remodeling are of major importance. Circumferential pulmonary vein isolation remains the cornerstone of the treatment of AF, regardless of the AF form and of the AF duration. No ablation strategy consistently demonstrated superiority to pulmonary vein isolation in preventing long term recurrences of atrial arrhythmias. Further research that allows accurate identification of the mechanisms underlying AF and efficient ablation should improve the results of PsAF ablation.
Collapse
Affiliation(s)
- Ghassen Cheniti
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France.,Cardiology Department, Hopital Sahloul, Universite de Sousse, Sousse, Tunisia
| | - Konstantinos Vlachos
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Thomas Pambrun
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Darren Hooks
- Cardiology Department, Wellington Hospital, Wellington, New Zealand
| | - Antonio Frontera
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Masateru Takigawa
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Felix Bourier
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Takeshi Kitamura
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Anna Lam
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Claire Martin
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | | | - Stephane Puyo
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Xavier Pillois
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France
| | - Josselin Duchateau
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Nicolas Klotz
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Arnaud Denis
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Nicolas Derval
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Pierre Jais
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Hubert Cochet
- Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France.,Department of Cardiovascular Imaging, Hopital Haut Leveque, Bordeaux, France
| | - Meleze Hocini
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Michel Haissaguerre
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| | - Frederic Sacher
- Cardiac Electrophysiology Department, Hopital Haut Leveque, Bordeaux, France.,Electrophysiology and Heart Modeling Institute (LIRYC), Bordeaux University, Pessac, France
| |
Collapse
|
35
|
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.
Collapse
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
| |
Collapse
|
36
|
|
37
|
Sciarra L, Golia P, Palamà Z, Scarà A, De Ruvo E, Borrelli A, Martino AM, Minati M, Fagagnini A, Tota C, De Luca L, Grieco D, Delise P, Calò L. Patients with left bundle branch block and left axis deviation show a specific left ventricular asynchrony pattern: Implications for left ventricular lead placement during CRT implantation. J Electrocardiol 2018; 51:175-181. [DOI: 10.1016/j.jelectrocard.2017.10.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2017] [Indexed: 01/31/2023]
|
38
|
Bear LR, Huntjens PR, Walton RD, Bernus O, Coronel R, Dubois R. Cardiac electrical dyssynchrony is accurately detected by noninvasive electrocardiographic imaging. Heart Rhythm 2018; 15:1058-1069. [PMID: 29477975 DOI: 10.1016/j.hrthm.2018.02.024] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Indexed: 11/19/2022]
Abstract
BACKGROUND Poor identification of electrical dyssynchrony is postulated to be a major factor contributing to the low success rate for cardiac resynchronization therapy. OBJECTIVE The purpose of this study was to evaluate the sensitivity of body surface mapping and electrocardiographic imaging (ECGi) to detect electrical dyssynchrony noninvasively. METHODS Langendorff-perfused pig hearts (n = 11) were suspended in a human torso-shaped tank, with left bundle branch block (LBBB) induced through ablation. Recordings were taken simultaneously from a 108-electrode epicardial sock and 128 electrodes embedded in the tank surface during sinus rhythm and ventricular pacing. Computed tomography provided electrode and heart positions in the tank. Epicardial unipolar electrograms were reconstructed from torso potentials using ECGi. Dyssynchrony markers from torso potentials (eg, QRS duration) or ECGi (total activation time, interventricular delay [D-LR], and intraventricular markers) were correlated with those recorded from the sock. RESULTS LBBB was induced (n = 8), and sock-derived activation maps demonstrated interventricular dyssynchrony (D-LR and total activation time) in all cases (P < .05) and intraventricular dyssynchrony for complete LBBB (P < .05) compared to normal sinus rhythm. Only D-LR returned to normal with biventricular pacing (P = .1). Torso markers increased with large degrees of dyssynchrony, and no reduction was seen during biventricular pacing (P > .05). Although ECGi-derived markers were significantly lower than recorded (P < .05), there was a significant strong linear relationship between ECGi and recorded values. ECGi correctly diagnosed electrical dyssynchrony and interventricular resynchronization in all cases. The latest site of activation was identified to 9.1 ± 0.6 mm by ECGi. CONCLUSION ECGi reliably and accurately detects electrical dyssynchrony, resynchronization by biventricular pacing, and the site of latest activation, providing more information than do body surface potentials.
Collapse
Affiliation(s)
- Laura R Bear
- Electrophysiology and Heart Modelling Institute (IHU-LIRYC), Fondation Bordeaux Université, Pessac, France; Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux U1045, France; Inserm, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, France.
| | - Peter R Huntjens
- Electrophysiology and Heart Modelling Institute (IHU-LIRYC), Fondation Bordeaux Université, Pessac, France; Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux U1045, France; Inserm, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, France; CARIM School for Cardiovascular Diseases, Maastricht University MedicalCentre, Maastricht, The Netherlands
| | - Richard D Walton
- Electrophysiology and Heart Modelling Institute (IHU-LIRYC), Fondation Bordeaux Université, Pessac, France; Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux U1045, France; Inserm, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, France
| | - Olivier Bernus
- Electrophysiology and Heart Modelling Institute (IHU-LIRYC), Fondation Bordeaux Université, Pessac, France; Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux U1045, France; Inserm, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, France
| | - Ruben Coronel
- Electrophysiology and Heart Modelling Institute (IHU-LIRYC), Fondation Bordeaux Université, Pessac, France; Department of Experimental Cardiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Rémi Dubois
- Electrophysiology and Heart Modelling Institute (IHU-LIRYC), Fondation Bordeaux Université, Pessac, France; Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux U1045, France; Inserm, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, France
| |
Collapse
|
39
|
Varma N, O'Donnell D, Bassiouny M, Ritter P, Pappone C, Mangual J, Cantillon D, Badie N, Thibault B, Wisnoskey B. Programming Cardiac Resynchronization Therapy for Electrical Synchrony: Reaching Beyond Left Bundle Branch Block and Left Ventricular Activation Delay. J Am Heart Assoc 2018; 7:e007489. [PMID: 29432133 PMCID: PMC5850248 DOI: 10.1161/jaha.117.007489] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 11/30/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND QRS narrowing following cardiac resynchronization therapy with biventricular (BiV) or left ventricular (LV) pacing is likely affected by patient-specific conduction characteristics (PR, qLV, LV-paced propagation interval), making a universal programming strategy likely ineffective. We tested these factors using a novel, device-based algorithm (SyncAV) that automatically adjusts paced atrioventricular delay (default or programmable offset) according to intrinsic atrioventricular conduction. METHODS AND RESULTS Seventy-five patients undergoing cardiac resynchronization therapy (age 66±11 years; 65% male; 32% with ischemic cardiomyopathy; LV ejection fraction 28±8%; QRS duration 162±16 ms) with intact atrioventricular conduction (PR interval 194±34, range 128-300 ms), left bundle branch block, and optimized LV lead position were studied at implant. QRS duration (QRSd) reduction was compared for the following pacing configurations: nominal simultaneous BiV (Mode I: paced/sensed atrioventricular delay=140/110 ms), BiV+SyncAV with 50 ms offset (Mode II), BiV+SyncAV with offset that minimized QRSd (Mode III), or LV-only pacing+SyncAV with 50 ms offset (Mode IV). The intrinsic QRSd (162±16 ms) was reduced to 142±17 ms (-11.8%) by Mode I, 136±14 ms (-15.6%) by Mode IV, and 132±13 ms (-17.8%) by Mode II. Mode III yielded the shortest overall QRSd (123±12 ms, -23.9% [P<0.001 versus all modes]) and was the only configuration without QRSd prolongation in any patient. QRS narrowing occurred regardless of QRSd, PR, or LV-paced intervals, or underlying ischemic disease. CONCLUSIONS Post-implant electrical optimization in already well-selected patients with left bundle branch block and optimized LV lead position is facilitated by patient-tailored BiV pacing adjusted to intrinsic atrioventricular timing using an automatic device-based algorithm.
Collapse
Affiliation(s)
| | | | | | | | - Carlo Pappone
- Department of Electrophysiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy
| | | | | | | | - Bernard Thibault
- Electrophysiology Service, Montreal Heart Institute, Montreal, Canada
| | | |
Collapse
|
40
|
Zhou W, Jiang Z, Chen J, Garcia EV, Li D. Development and validation of a phase analysis tool to measure interventricular mechanical dyssynchrony from gated SPECT MPI. J Nucl Cardiol 2017; 24:1680-1686. [PMID: 27225514 PMCID: PMC10955150 DOI: 10.1007/s12350-016-0503-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 04/04/2016] [Indexed: 10/21/2022]
Abstract
OBJECTIVES The purpose of this study is to develop a right-ventricular (RV) phase analysis tool which when coupled with our left ventricular (LV) phase analysis tool can provide measurement of the interventricular mechanical dyssynchrony from gated SPECT myocardial perfusion imaging (MPI), and validate the tool by electrocardiography (ECG). METHODS For each patient, short-axis LV and RV SPECT MPI images were input into an automatic sampling algorithm to generate the 3D maximal count circumferential profiles for both LV and RV in each cardiac frame. Subsequently, the samples of LV and RV were separately used by our phase analysis tool based on the first-harmonic Fourier approximation to calculate the contraction onset for each sample. The difference between contraction onsets of the middle LV free wall and middle LV septal wall represented the LV contraction delay; the difference between contraction onsets of the middle RV free wall and middle RV septal wall represented the RV contraction delay. The difference between the LV and RV contraction delays represented the interventricular contraction delay, which was compared with the interventricular conduction delay classified by ECG to validate the concordance of interventricular mechanical and electrical dyssynchrony. Sixty-one bundle branch block (BBB) patients with ischemic-dilated cardiomyopathy (26, 42.6%) or non-ischemic-dilated cardiomyopathy (35, 57.4%), who underwent 12-lead surface ECG and gated resting Tc-99m sestamibi SPECT, were retrospectively analyzed in this study. RESULTS In the 30 patients with left bundle branch block (LBBB) by ECG, there were 27 patients whose LV contracted later than the RV according to SPECT; and in the 31 patients with right bundle branch block (RBBB) by ECG, there were 26 patients whose LV contracted earlier than the RV according to SPECT. In total, an agreement rate of 86.9% (53 of 61) was achieved between SPECT and ECG. The Kappa agreement rate was 73.8% (95% confidence interval 0.57-0.91). CONCLUSION The preliminary results showed promise for the measurement of interventricular mechanical dyssynchrony in BBB patients with dilated cardiomyopathy using our phase analysis tool.
Collapse
Affiliation(s)
- Weihua Zhou
- School of Computing, University of Southern Mississippi, Long Beach, MS, USA
| | - Zhixin Jiang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ji Chen
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA
| | - Ernest V Garcia
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA
| | - Dianfu Li
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
| |
Collapse
|
41
|
Rao P, Faddis M. Cardiac resynchronisation therapy: current indications, management and basic troubleshooting. Heart 2017; 103:2000-2007. [DOI: 10.1136/heartjnl-2016-310656] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 05/11/2017] [Accepted: 06/26/2017] [Indexed: 01/14/2023] Open
|
42
|
Derval N, Duchateau J, Mahida S, Eschalier R, Sacher F, Lumens J, Cochet H, Denis A, Pillois X, Yamashita S, Komatsu Y, Ploux S, Amraoui S, Zemmoura A, Ritter P, Hocini M, Haissaguerre M, Jaïs P, Bordachar P. Distinctive Left Ventricular Activations Associated With ECG Pattern in Heart Failure Patients. Circ Arrhythm Electrophysiol 2017. [DOI: 10.1161/circep.117.005073] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background—
In contrast to patients with left bundle branch block (LBBB), heart failure patients with narrow QRS and nonspecific intraventricular conduction delay (NICD) display a relatively limited response to cardiac resynchronization therapy. We sought to compare left ventricular (LV) activation patterns in heart failure patients with narrow QRS and NICD to patients with LBBB using high-density electroanatomic activation maps.
Methods and Results—
Fifty-two heart failure patients (narrow QRS [n=18], LBBB [n=11], NICD [n=23]) underwent 3-dimensional electroanatomic mapping with a high density of mapping points (387±349 LV). Adjunctive scar imaging was available in 37 (71%) patients and was analyzed in relation to activation maps. LBBB patients typically demonstrated (1) a single LV breakthrough at the septum (38±15 ms post-QRS onset); (2) prolonged right-to-left transseptal activation with absence of direct LV Purkinje activity; (3) homogeneous propagation within the LV cavity; and (4) latest activation at the basal lateral LV. In comparison, both NICD and narrow QRS patients demonstrated (1) multiple LV breakthroughs along the posterior or anterior fascicles: narrow QRS versus LBBB, 5±2 versus 1±1;
P
=0.0004; NICD versus LBBB, 4±2 versus 1±1;
P
=0.001); (2) evidence of early/pre-QRS LV electrograms with Purkinje potentials; (3) rapid propagation in narrow QRS patients and more heterogeneous propagation in NICD patients; and (4) presence of limited areas of late activation associated with LV scar with high interindividual heterogeneity.
Conclusions—
In contrast to LBBB patients, narrow QRS and NICD patients are characterized by distinct mechanisms of LV activation, which may predict poor response to cardiac resynchronization therapy.
Collapse
Affiliation(s)
- Nicolas Derval
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Josselin Duchateau
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Saagar Mahida
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Romain Eschalier
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Frederic Sacher
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Joost Lumens
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Hubert Cochet
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Arnaud Denis
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Xavier Pillois
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Seigo Yamashita
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Yuki Komatsu
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Sylvain Ploux
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Sana Amraoui
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Adlane Zemmoura
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Philippe Ritter
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Mélèze Hocini
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Michel Haissaguerre
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Pierre Jaïs
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| | - Pierre Bordachar
- From the Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, LIRYC, L’Institut de rythmologie et modélisation cardiaque, Université de Bordeaux, France (N.D., J.D., F.S., J.L., H.C., A.D., X.P., S.Y., Y.K., S.P., S.A., A.Z., P.R., M. Hocini, M. Haissaguerre, P.J., P.B.); Liverpool Heart and Chest Hospital, Liverpool, United Kingdom (S.M.); CHU Clermont-Ferrand, Clermont-Ferrand, France (R.E.); and Maastricht University Medical Center, The Netherlands (J.L.)
| |
Collapse
|
43
|
Abstract
Advances in the field of defibrillation have brought to practice different types of devices that include the transvenous implantable cardioverter-defibrillator (ICD) with or without cardiac resynchronization therapy, the subcutaneous ICD (S-ICD), and the wearable cardioverter-defibrillator. To ensure optimal use of these devices and to achieve best patient outcomes, clinicians need to understand how these devices work, learn the characteristics of patients who qualify them for one type of device versus another, and recognize the remaining gaps in knowledge surrounding these devices. The transvenous ICD has been shown in several randomized clinical trials to improve the survival of patients resuscitated from near-fatal ventricular fibrillation and those with sustained ventricular tachycardia with syncope or systolic heart failure as a result of ischemic or nonischemic cardiomyopathy despite receiving guideline-directed medical therapy. Important gaps in knowledge regarding the transvenous ICD involve the role of the ICD in patient subgroups not included, or not well represented, in clinical trials and the need to refine the selection criteria for the ICD in patients who are indicated for it. S-ICDs were recently introduced into the clinical arena as another option for many patients who have an approved indication for a transvenous ICD. The main advantage of the S-ICD is a lower risk of infection and lead-related complications; however, the S-ICD does not offer bradycardia or antitachycardia pacing. The S-ICD may be ideal for patients with limited vascular access, high infection risk, or some congenital heart diseases. However, more data are needed regarding the efficacy and effectiveness of the S-ICD in comparison to transvenous ICDs, the extent of defibrillation testing required, and the use of the S-ICD with other novel technologies, including leadless pacemakers. Cardiac resynchronization therapy-defibrillators are indicated in patients with a left ventricular ejection fraction ≤35%, QRS width ≥130 ms, and New York Heart Association class II, III, or ambulatory IV symptoms despite treatment with guideline-directed medical therapy. Multiple randomized controlled trials have shown that the cardiac resynchronization therapy-defibrillator improves survival, quality of life, and several echocardiographic measures. One main challenge related to cardiac resynchronization therapy-defibrillators is the 30% nonresponse rate. Many initiatives are underway to address this challenge including improved cardiac resynchronization therapy and imaging technologies and enhanced selection of patients and device programming.
Collapse
Affiliation(s)
- Sana M Al-Khatib
- From the Division of Cardiology and Duke Clinical Research Institute, Duke University Medical Center, Durham, NC (S.M.A.); Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN (P.F.); and Division of Cardiology, Virginia Commonwealth University School of Medicine, Richmond, VA (K.A.E.).
| | - Paul Friedman
- From the Division of Cardiology and Duke Clinical Research Institute, Duke University Medical Center, Durham, NC (S.M.A.); Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN (P.F.); and Division of Cardiology, Virginia Commonwealth University School of Medicine, Richmond, VA (K.A.E.)
| | - Kenneth A Ellenbogen
- From the Division of Cardiology and Duke Clinical Research Institute, Duke University Medical Center, Durham, NC (S.M.A.); Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN (P.F.); and Division of Cardiology, Virginia Commonwealth University School of Medicine, Richmond, VA (K.A.E.)
| |
Collapse
|
44
|
Noninvasive ECG imaging (ECGI): Mapping the arrhythmic substrate of the human heart. Int J Cardiol 2017; 237:13-14. [PMID: 28258845 DOI: 10.1016/j.ijcard.2017.02.104] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Accepted: 02/21/2017] [Indexed: 11/20/2022]
Abstract
This short communication accompanies my presentation at the International Congress on Sudden Cardiac Death held in Prague, March 30-April 1, 2017. It summarizes briefly studies of the cardiac electrophysiological substrate in patients with hereditary arrhythmogenic syndromes - the Long QT and Brugada syndromes - conducted noninvasively, in situ, using Electrocardiographic Imaging (ECGI). The same noninvasive approach was used to map the electrophysiological substrate of a post-infarction myocardial scar and to relate this substrate to the pattern of activation during reentrant ventricular tachycardia. My thoughts about a potential role for ECGI in cardiac research and clinical care are also expressed briefly, with examples from on-going work in my laboratory.
Collapse
|
45
|
Chen JY, Lin KH, Chang KC, Chou CY. The Shortest QRS Duration of an Electrocardiogram Might Be an Optimal Electrocardiographic Predictor for Response to Cardiac Resynchronization Therapy. Int Heart J 2017; 58:530-535. [PMID: 28701672 DOI: 10.1536/ihj.16-364] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Jan-Yow Chen
- Division of Cardiology, Department of Medicine, China Medical University Hospital
- School of Medicine, China Medical University
| | - Kuo-Hung Lin
- Division of Cardiology, Department of Medicine, China Medical University Hospital
- School of Medicine, China Medical University
| | - Kuan-Cheng Chang
- Division of Cardiology, Department of Medicine, China Medical University Hospital
- School of Medicine, China Medical University
| | - Che-Yi Chou
- School of Medicine, China Medical University
- Division of General Medicine, Department of Medicine, China Medical University Hospital
| |
Collapse
|
46
|
Soto Iglesias D, Duchateau N, Kostantyn Butakov CB, Andreu D, Fernandez-Armenta J, Bijnens B, Berruezo A, Sitges M, Camara O. Quantitative Analysis of Electro-Anatomical Maps: Application to an Experimental Model of Left Bundle Branch Block/Cardiac Resynchronization Therapy. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM 2016; 5:1900215. [PMID: 29164019 PMCID: PMC5477765 DOI: 10.1109/jtehm.2016.2634006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Revised: 08/08/2016] [Accepted: 11/14/2016] [Indexed: 01/02/2023]
Abstract
Electro-anatomical maps (EAMs) are commonly acquired in clinical routine for guiding
ablation therapies. They provide voltage and activation time information on a 3-D
anatomical mesh representation, making them useful for analyzing the electrical
activation patterns in specific pathologies. However, the variability between the
different acquisitions and anatomies hampers the comparison between different maps.
This paper presents two contributions for the analysis of electrical patterns in EAM
data from biventricular surfaces of cardiac chambers. The first contribution is an
integrated automatic 2-D disk representation (2-D bull’s eye plot) of the left
ventricle (LV) and right ventricle (RV) obtained with a quasi-conformal mapping from
the 3-D EAM meshes, that allows an analysis of cardiac resynchronization therapy
(CRT) lead positioning, interpretation of global (total activation time), and local
indices (local activation time (LAT), surrogates of conduction velocity,
inter-ventricular, and transmural delays) that characterize changes in the electrical
activation pattern. The second contribution is a set of indices derived from the
electrical activation: speed maps, computed from LAT values, to study the electrical
wave propagation, and histograms of isochrones to analyze regional electrical
heterogeneities in the ventricles. We have applied the proposed methods to look for
the underlying physiological mechanisms of left bundle branch block (LBBB) and CRT,
with the goal of optimizing the therapy by improving CRT response. To better
illustrate the benefits of the proposed tools, we created a set of synthetically
generated and fully controlled activation patterns, where the proposed representation
and indices were validated. Then, the proposed analysis tools are used to analyze EAM
data from an experimental swine model of induced LBBB with an implanted CRT device.
We have analyzed and compared the electrical activation patterns at baseline, LBBB,
and CRT stages in four animals: two without any structural disease and two with an
induced infarction. By relating the CRT lead location with electrical dyssynchrony,
we evaluated current hypotheses about lead placement in CRT and showed that optimal
pacing sites should target the RV lead close to the apex and the LV one distant from
it.
Collapse
Affiliation(s)
- David Soto Iglesias
- PhySense, Information and Communication Technologies DepartmentUniversitat Pompeu Fabra.,Cardiology DepartmentThorax Institute, Hospital Clinic
| | | | | | - David Andreu
- Cardiology DepartmentThorax Institute, Hospital Clinic
| | | | - Bart Bijnens
- PhySense, Information and Communication Technologies DepartmentUniversitat Pompeu Fabra.,Catalan Institution for Research and Advanced Studies
| | | | - Marta Sitges
- Cardiology DepartmentThorax Institute, Hospital Clinic
| | - Oscar Camara
- PhySense, Information and Communication Technologies DepartmentUniversitat Pompeu Fabra
| |
Collapse
|
47
|
Bunting E, Lambrakos L, Kemper P, Whang W, Garan H, Konofagou E. Imaging the Propagation of the Electromechanical Wave in Heart Failure Patients with Cardiac Resynchronization Therapy. PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2016; 40:35-45. [PMID: 27790723 DOI: 10.1111/pace.12964] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 09/12/2016] [Accepted: 10/11/2016] [Indexed: 01/06/2023]
Abstract
BACKGROUND Current electrocardiographic and echocardiographic measurements in heart failure (HF) do not take into account the complex interplay between electrical activation and local wall motion. The utilization of novel technologies to better characterize cardiac electromechanical behavior may lead to improved response rates with cardiac resynchronization therapy (CRT). Electromechanical wave imaging (EWI) is a noninvasive ultrasound-based technique that uses the transient deformations of the myocardium to track the intrinsic EW that precedes myocardial contraction. In this paper, we investigate the performance and reproducibility of EWI in the assessment of HF patients and CRT. METHODS EWI acquisitions were obtained in five healthy controls and 16 HF patients with and without CRT pacing. Responders (n = 8) and nonresponders (n = 8) to CRT were identified retrospectively on the basis of left ventricular (LV) reverse remodeling. Electromechanical activation maps were obtained in all patients and used to compute a quantitative parameter describing the mean LV lateral wall activation time (LWAT). RESULTS Mean LWAT was increased by 52.1 ms in HF patients in native rhythm compared to controls (P < 0.01). For all HF patients, CRT pacing initiated a different electromechanical activation sequence. Responders exhibited a 56.4-ms ± 28.9-ms reduction in LWAT with CRT pacing (P < 0.01), while nonresponders showed no significant change. CONCLUSION In this initial feasibility study, EWI was capable of characterizing local cardiac electromechanical behavior as it pertains to HF and CRT response. Activation sequences obtained with EWI allow for quantification of LV lateral wall electromechanical activation, thus providing a novel method for CRT assessment.
Collapse
Affiliation(s)
- Ethan Bunting
- Department of Biomedical Engineering, Columbia University, New York, New York
| | - Litsa Lambrakos
- Division of Cardiology, Columbia University, New York, New York
| | - Paul Kemper
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - William Whang
- Division of Cardiology, Columbia University, New York, New York
| | - Hasan Garan
- Division of Cardiology, Columbia University, New York, New York
| | - Elisa Konofagou
- Department of Biomedical Engineering, Department of Radiology, Columbia University, New York, New York
| |
Collapse
|
48
|
Dawoud F, Schuleri KH, Spragg DD, Horáček BM, Berger RD, Halperin HR, Lardo AC. Insights from Novel Noninvasive CT and ECG Imaging Modalities on Electromechanical Myocardial Activation in a Canine Model of Ischemic Dyssynchronous Heart Failure. J Cardiovasc Electrophysiol 2016; 27:1454-1461. [PMID: 27578532 DOI: 10.1111/jce.13091] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2016] [Revised: 08/12/2016] [Accepted: 08/17/2016] [Indexed: 01/26/2023]
Abstract
INTRODUCTION The interplay between electrical activation and mechanical contraction patterns is hypothesized to be central to reduced effectiveness of cardiac resynchronization therapy (CRT). Furthermore, complex scar substrates render CRT less effective. We used novel cardiac computed tomography (CT) and noninvasive electrocardiographic imaging (ECGI) techniques in an ischemic dyssynchronous heart failure (DHF) animal model to evaluate electrical and mechanical coupling of cardiac function, tissue viability, and venous accessibility of target pacing regions. METHODS AND RESULTS Ischemic DHF was induced in 6 dogs using coronary occlusion, left bundle ablation and tachy RV pacing. Full body ECG was recorded during native rhythm followed by volumetric first-pass and delayed enhancement CT. Regional electrical activation were computed and overlaid with segmented venous anatomy and scar regions. Reconstructed electrical activation maps show consistency with LBBB starting on the RV and spreading in a "U-shaped" pattern to the LV. Previously reported lines of slow conduction are seen parallel to anterior or inferior interventricular grooves. Mechanical contraction showed large septal to lateral wall delay (80 ± 38 milliseconds vs. 123 ± 31 milliseconds, P = 0.0001). All animals showed electromechanical correlation except dog 5 with largest scar burden. Electromechanical decoupling was largest in basal lateral LV segments. CONCLUSION We demonstrated a promising application of CT in combination with ECGI to gain insight into electromechanical function in ischemic dyssynchronous heart failure that can provide useful information to study regional substrate of CRT candidates.
Collapse
Affiliation(s)
- Fady Dawoud
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Karl H Schuleri
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - David D Spragg
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - B Milan Horáček
- Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS, Canada
| | - Ronald D Berger
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Henry R Halperin
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Albert C Lardo
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.,Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| |
Collapse
|
49
|
Hara H, Niwano S, Ito H, Karakawa M, Ako J. Evaluation of R-wave offset in the left chest leads for estimating the left ventricular activation delay: An evaluation based on coronary sinus electrograms and the 12-lead electrocardiogram. J Electrocardiol 2016; 49:148-53. [PMID: 26763306 DOI: 10.1016/j.jelectrocard.2015.12.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Indexed: 10/22/2022]
Abstract
BACKGROUND The QRS duration does not always reflect the left ventricular (LV) activation delay in patients with ventricular conduction disturbances. The R-wave offset in left chest leads may more closely reflect the LV activation delay than the QRS offset. METHODS We evaluated 138 cases with left bundle branch block (LBBB, n=11), right BBB (RBBB, n=38), non-specific intraventricular conduction disturbance (n=11), narrow QRS (<120ms, n=56) and right ventricular pacing (n=22). Cases with right axis deviation (120 to 270 degrees) were excluded. The intervals from the QRS onset to the V-waves in coronary sinus bipolar electrograms (QCS) were measured, and the longest interval was defined as the QCSmax. In the 12-lead electrocardiogram, the interval from the QRS onset to the R-wave offset (QR) was measured and then averaged in leads I-aVL, II-III-aVF, V1-V2, V3-V4 and V5-V6. RESULTS Significant correlations (p<0.05) were found between QCSmax and QR in I-aVL (r=0.83), II-III-aVF (r=0.51) and V5-V6 (r=0.86) in cases with a normal axis (0 to 90 degrees, n=64); and I-aVL (r=0.90), II-III-aVF (r=0.31) and V5-V6 (r=0.69) in cases with left axis deviation (-45 to -89 degrees, n=52). Overall, the QRS duration was also correlated with QCSmax (r=0.72, p<0.001); however, this correlation was weaker than the correlation between QCSmax and QR in I-aVL (r=0.89, p<0.001) due to disparities in RBBB (p<0.001). CONCLUSIONS The interval from the QRS onset to R-wave offset in the left chest leads reflects the degree of LV activation delay regardless of differences in QRS duration and morphology.
Collapse
Affiliation(s)
- Hideyuki Hara
- Cardiology, Numazu City Hospital, Shizuoka, Japan; Department of Cardiovascular Medicine, Kitasato University School of Medicine, Kanagawa, Japan.
| | - Shinichi Niwano
- Department of Cardiovascular Medicine, Kitasato University School of Medicine, Kanagawa, Japan
| | - Hiroshi Ito
- Cardiology, Numazu City Hospital, Shizuoka, Japan
| | | | - Junya Ako
- Department of Cardiovascular Medicine, Kitasato University School of Medicine, Kanagawa, Japan
| |
Collapse
|
50
|
Dawoud F, Spragg DD, Berger RD, Cheng A, Horáček BM, Halperin HR, Lardo AC. Non-invasive electromechanical activation imaging as a tool to study left ventricular dyssynchronous patients: Implication for CRT therapy. J Electrocardiol 2016; 49:375-82. [PMID: 26968312 DOI: 10.1016/j.jelectrocard.2016.02.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Indexed: 10/22/2022]
Abstract
AIMS Electromechanical de-coupling is hypothesized to explain non-response of dyssynchrony patient to cardiac resynchronization therapy (CRT). In this pilot study, we investigated regional electromechanical uncoupling in 10 patients referred for CRT using two non-invasive electrical and mechanical imaging techniques (CMR tissue tracking and ECGI). METHODS AND RESULTS Reconstructed regional electrical and mechanical activation captured delayed LBBB propagation direction from septal to anterior/inferior and finally to lateral walls as well as from LV apical to basal. All 5 responders demonstrated significantly delayed mechanical and electrical activation on the lateral LV wall at baseline compared to the non-responders (P<.05). On follow-up ECGI, baseline electrical activation patterns were preserved in native rhythm and global LV activation time was reduced with biventricular pacing. CONCLUSIONS The combination of novel imaging techniques of ECGI and CMR tissue tracking can be used to assess spatial concordance of LV electrical and mechanical activation to gain insight into electromechanical coupling.
Collapse
Affiliation(s)
- Fady Dawoud
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
| | - David D Spragg
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ronald D Berger
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Alan Cheng
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - B Milan Horáček
- Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS, Canada
| | - Henry R Halperin
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Albert C Lardo
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|