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Using Machine-Learning for Prediction of the Response to Cardiac Resynchronization Therapy: The SMART-AV Study. JACC Clin Electrophysiol 2021; 7:1505-1515. [PMID: 34454883 DOI: 10.1016/j.jacep.2021.06.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 06/17/2021] [Accepted: 06/17/2021] [Indexed: 11/20/2022]
Abstract
OBJECTIVES This study aimed to apply machine learning (ML) to develop a prediction model for short-term cardiac resynchronization therapy (CRT) response to identifying CRT candidates for early multidisciplinary CRT heart failure (HF) care. BACKGROUND Multidisciplinary optimization of cardiac resynchronization therapy (CRT) delivery can improve long-term CRT outcomes but requires substantial staff resources. METHODS Participants from the SMART-AV (SmartDelay-Determined AV Optimization: Comparison of AV Optimization Methods Used in Cardiac Resynchronization Therapy [CRT]) trial (n = 741; age: 66 ± 11 years; 33% female; 100% New York Heart Association HF class III-IV; 100% ejection fraction ≤35%) were randomly split into training/testing (80%; n = 593) and validation (20%; n = 148) samples. Baseline clinical, electrocardiographic, echocardiographic, and biomarker characteristics, and left ventricular (LV) lead position (43 variables) were included in 8 ML models (random forests, convolutional neural network, lasso, adaptive lasso, plugin lasso, elastic net, ridge, and logistic regression). A composite of freedom from death and HF hospitalization and a >15% reduction in LV end-systolic volume index at 6 months after CRT was the end point. RESULTS The primary end point was met by 337 patients (45.5%). The adaptive lasso model was the most more accurate (area under the receiver operating characteristic curve: 0.759; 95% confidence interval [CI]: 0.678-0.840), well calibrated, and parsimonious (19 predictors; nearly half potentially modifiable). Participants in the 5th quintile compared with those in the 1st quintile of the prediction model had 14-fold higher odds of composite CRT response (odds ratio: 14.0; 95% CI: 8.0-14.4). The model predicted CRT response with 70% accuracy, 70% sensitivity, and 70% specificity, and should be further validated in prospective studies. CONCLUSIONS ML predicts short-term CRT response and thus may help with CRT procedure and early post-CRT care planning. (SmartDelay-Determined AV Optimization: A Comparison of AV Optimization Methods Used in Cardiac Resynchronization Therapy [CRT] [SMART-AV]; NCT00677014).
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Gao X, Abdi M, Auger DA, Sun C, Hanson CA, Robinson AA, Schumann C, Oomen PJ, Ratcliffe S, Malhotra R, Darby A, Monfredi OJ, Mangrum JM, Mason P, Mazimba S, Holmes JW, Kramer CM, Epstein FH, Salerno M, Bilchick KC. Cardiac Magnetic Resonance Assessment of Response to Cardiac Resynchronization Therapy and Programming Strategies. JACC Cardiovasc Imaging 2021; 14:2369-2383. [PMID: 34419391 DOI: 10.1016/j.jcmg.2021.06.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 05/05/2021] [Accepted: 06/07/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVES The objective was to determine the feasibility and effectiveness of cardiac magnetic resonance (CMR) cine and strain imaging before and after cardiac resynchronization therapy (CRT) for assessment of response and the optimal resynchronization pacing strategy. BACKGROUND CMR with cardiac implantable electronic devices can safely provide high-quality right ventricular/left ventricular (LV) ejection fraction (RVEF/LVEF) assessments and strain. METHODS CMR with cine imaging, displacement encoding with stimulated echoes for the circumferential uniformity ratio estimate with singular value decomposition (CURE-SVD) dyssynchrony parameter, and scar assessment was performed before and after CRT. Whereas the pre-CRT scan constituted a single "imaging set" with complete volumetric, strain, and scar imaging, multiple imaging sets with complete strain and volumetric data were obtained during the post-CRT scan for biventricular pacing (BIVP), LV pacing (LVP), and asynchronous atrial pacing modes by reprogramming the device outside the scanner between imaging sets. RESULTS 100 CMRs with a total of 162 imaging sets were performed in 50 patients (median age 70 years [IQR: 50 years-86 years]; 48% female). Reduction in LV end-diastolic volumes (P = 0.002) independent of CRT pacing were more prominent than corresponding reductions in right ventricular end-diastolic volumes (P = 0.16). A clear dependence of the optimal CRT pacing mode (BIVP vs LVP) on the PR interval (P = 0.0006) was demonstrated. The LVEF and RVEF improved more with BIVP than LVP with PR intervals ≥240 milliseconds (P = 0.025 and P = 0.002, respectively); the optimal mode (BIVP vs LVP) was variable with PR intervals <240 milliseconds. A lower pre-CRT displacement encoding with stimulated echoes CURE-SVD was associated with greater improvements in the post-CRT CURE-SVD (r = -0.69; P < 0.001), LV end-systolic volume (r = -0.58; P < 0.001), and LVEF (r = -0.52; P < 0.001). CONCLUSIONS CMR evaluation with assessment of multiple pacing modes during a single scan after CRT is feasible and provides useful information for patient care with respect to response and the optimal pacing strategy.
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Affiliation(s)
- Xu Gao
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Mohamad Abdi
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Daniel A Auger
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Changyu Sun
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Christopher A Hanson
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Austin A Robinson
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Christopher Schumann
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Pim J Oomen
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Sarah Ratcliffe
- Department of Public Health Sciences, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Rohit Malhotra
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Andrew Darby
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Oliver J Monfredi
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - J Michael Mangrum
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Pamela Mason
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Sula Mazimba
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Jeffrey W Holmes
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Christopher M Kramer
- Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Frederick H Epstein
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA; Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Michael Salerno
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA; Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Kenneth C Bilchick
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.
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Mullens W, Auricchio A, Martens P, Witte K, Cowie MR, Delgado V, Dickstein K, Linde C, Vernooy K, Leyva F, Bauersachs J, Israel CW, Lund LH, Donal E, Boriani G, Jaarsma T, Berruezo A, Traykov V, Yousef Z, Kalarus Z, Nielsen JC, Steffel J, Vardas P, Coats A, Seferovic P, Edvardsen T, Heidbuchel H, Ruschitzka F, Leclercq C. Optimized implementation of cardiac resynchronization therapy: a call for action for referral and optimization of care. Europace 2021; 23:1324-1342. [PMID: 34037728 DOI: 10.1093/europace/euaa411] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 12/28/2022] Open
Abstract
Cardiac resynchronization therapy (CRT) is one of the most effective therapies for heart failure with reduced ejection fraction and leads to improved quality of life, reductions in heart failure hospitalization rates and all-cause mortality. Nevertheless, up to two-thirds of eligible patients are not referred for CRT. Furthermore, post-implantation follow-up is often fragmented and suboptimal, hampering the potential maximal treatment effect. This joint position statement from three European Society of Cardiology Associations, Heart Failure Association (HFA), European Heart Rhythm Association (EHRA) and European Association of Cardiovascular Imaging (EACVI), focuses on optimized implementation of CRT. We offer theoretical and practical strategies to achieve more comprehensive CRT referral and post-procedural care by focusing on four actionable domains: (i) overcoming CRT under-utilization, (ii) better understanding of pre-implant characteristics, (iii) abandoning the term 'non-response' and replacing this by the concept of disease modification, and (iv) implementing a dedicated post-implant CRT care pathway.
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Affiliation(s)
- Wilfried Mullens
- Ziekenhuis Oost Limburg, Genk, Belgium
- University Hasselt, Hasselt, Belgium
| | - Angelo Auricchio
- Division of Cardiology, Cardiocentro Ticino, Lugano, Switzerland
| | - Pieter Martens
- Ziekenhuis Oost Limburg, Genk, Belgium
- University Hasselt, Hasselt, Belgium
| | - Klaus Witte
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Martin R Cowie
- Imperial College London (Royal Brompton Hospital), London, UK
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Cecilia Linde
- Heart and Vascular Theme, Karolinska University Hospital and Karolinska Institutet, Stockholm, Sweden
| | - Kevin Vernooy
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Cardiology, Radboud University Medical Center (Radboudumc), Nijmegen, The Netherlands
| | | | - Johann Bauersachs
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Carsten W Israel
- Department of Medicine - Cardiology, Diabetology and Nephrology, Bethel-Clinic, Bielefeld, Germany
| | - Lars H Lund
- Department of Medicine Karolinska Institutet, and Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Erwan Donal
- Cardiologie, CHU Rennes - LTSI Inserm UMR 1099, Université Rennes-1, Rennes, France
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Tiny Jaarsma
- Julius Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Health, Medicine and Caring Science, Linköping University, Linköping, Sweden
| | | | - Vassil Traykov
- Department of Cardiology, Acibadem City Clinic Tokuda Hospital, Sofia, Bulgaria
| | - Zaheer Yousef
- Department of Cardiology, University Hospital of Wales & Cardiff University, Cardiff, UK
| | - Zbigniew Kalarus
- Department of Cardiology, Medical University of Silesia, Katowice, Poland
| | | | - Jan Steffel
- UniversitätsSpital Zürich, Zürich, Switzerland
| | - Panos Vardas
- Heart Sector, Hygeia Hospitals Group, Athens, Greece
| | | | - Petar Seferovic
- Faculty of Medicine, Serbian Academy of Science and Arts, Belgrade University, Belgrade, Serbia
| | - Thor Edvardsen
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, and University of Oslo, Oslo, Norway
| | - Hein Heidbuchel
- Antwerp University and Antwerp University Hospital, Antwerp, Belgium
| | - Frank Ruschitzka
- Department of Cardiology, University Hospital, University Heart Center, Zurich, Switzerland
| | - Christophe Leclercq
- Cardiologie, CHU Rennes - LTSI Inserm UMR 1099, Université Rennes-1, Rennes, France
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54
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Moore BM, Tran DL, McGuire MA, Celermajer DS, Cordina RL. Optimal AV delay in ventricularly paced adults with congenital heart disease. INTERNATIONAL JOURNAL OF CARDIOLOGY CONGENITAL HEART DISEASE 2021. [DOI: 10.1016/j.ijcchd.2021.100163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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Abstract
Despite constant breakthroughs in heart failure (HF) therapy, the population of HF patients resume to grow and is linked to increased mortality and morbidity. Ventricular arrhythmias (VA) are one of the leading causes of mortality in HF subjects. Implantable cardioverter-defibrillators (ICDs) are currently the gold standard in treatment, preventing arrhythmic sudden cardiac death (SCD) episodes. However, the death rates related to HF remain elevated, as not all HF subjects benefit equally. Cardiac resynchronization therapy (CRT) has emerged as a novel approach for HF patients. These devices have been thoroughly investigated in major randomized controlled studies but continue to be underutilized in various countries. This review discusses the use of ICD
in HF populations on top of treatments.
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56
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Laczay B, Patel D, Grimm R, Xu B. State-of-the-art narrative review: multimodality imaging in electrophysiology and cardiac device therapies. Cardiovasc Diagn Ther 2021; 11:881-895. [PMID: 34295711 DOI: 10.21037/cdt-20-724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 11/30/2020] [Indexed: 12/07/2022]
Abstract
Cardiac electrophysiology procedures have evolved to provide improvement in morbidity and mortality for many patients. Cardiac resynchronization therapy (CRT), implantable cardioverter/defibrillator (ICD) placement and lead extraction procedures are proven procedures, associated with significant reductions in patient morbidity and mortality as well as improved quality of life. The applications and optimization of these therapies are an evolving field. The optimal use and outcomes of cardiac electrophysiology procedures require a multidisciplinary approach to patient selection, device selection, and procedural planning. Cardiac imaging using echocardiography plays a key role in selection of patients for CRT therapy, for guidance of left ventricular (LV) lead placement, and for optimization of atrioventricular pacing delays in patients with CRT. Cardiac computed tomography (CT) is an important tool in assessment of lead perforation, as well as assessing risk of lead extraction and procedural planning. Cardiac magnetic resonance imaging (MRI) is an important adjunct to transthoracic echocardiography for patient selection and risk stratification for defibrillator therapy for multiple disease states including ischemic cardiomyopathy, hypertrophic cardiomyopathy, cardiac sarcoidosis, and arrhythmogenic right ventricular cardiomyopathy (ARVC). Cardiac positron emission tomography (PET) is a useful adjunct to the diagnosis of device infections as well as inflammatory conditions including cardiac sarcoidosis. Our review attempts to summarize the contemporary roles of multimodality imaging in CRT therapy, ICD therapy and lead extraction therapy.
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Affiliation(s)
- Balint Laczay
- Heart, Vascular & Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Divyang Patel
- Heart, Vascular & Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Richard Grimm
- Heart, Vascular & Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Bo Xu
- Heart, Vascular & Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
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57
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Mullens W, Auricchio A, Martens P, Witte K, Cowie MR, Delgado V, Dickstein K, Linde C, Vernooy K, Leyva F, Bauersachs J, Israel CW, Lund LH, Donal E, Boriani G, Jaarsma T, Berruezo A, Traykov V, Yousef Z, Kalarus Z, Cosedis Nielsen J, Steffel J, Vardas P, Coats A, Seferovic P, Edvardsen T, Heidbuchel H, Ruschitzka F, Leclercq C. Optimized implementation of cardiac resynchronization therapy: a call for action for referral and optimization of care: A joint position statement from the Heart Failure Association (HFA), European Heart Rhythm Association (EHRA), and European Association of Cardiovascular Imaging (EACVI) of the European Society of Cardiology. Eur J Heart Fail 2021; 22:2349-2369. [PMID: 33136300 DOI: 10.1002/ejhf.2046] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 12/28/2022] Open
Abstract
Cardiac resynchronization therapy (CRT) is one of the most effective therapies for heart failure with reduced ejection fraction and leads to improved quality of life, reductions in heart failure hospitalization rates and all-cause mortality. Nevertheless, up to two-thirds of eligible patients are not referred for CRT. Furthermore, post-implantation follow-up is often fragmented and suboptimal, hampering the potential maximal treatment effect. This joint position statement from three European Society of Cardiology Associations, Heart Failure Association (HFA), European Heart Rhythm Association (EHRA) and European Association of Cardiovascular Imaging (EACVI), focuses on optimized implementation of CRT. We offer theoretical and practical strategies to achieve more comprehensive CRT referral and post-procedural care by focusing on four actionable domains: (i) overcoming CRT under-utilization, (ii) better understanding of pre-implant characteristics, (iii) abandoning the term 'non-response' and replacing this by the concept of disease modification, and (iv) implementing a dedicated post-implant CRT care pathway.
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Affiliation(s)
- Wilfried Mullens
- Ziekenhuis Oost Limburg, Genk, Belgium.,University Hasselt, Hasselt, Belgium
| | - Angelo Auricchio
- Division of Cardiology, Cardiocentro Ticino, Lugano, Switzerland
| | - Pieter Martens
- Ziekenhuis Oost Limburg, Genk, Belgium.,University Hasselt, Hasselt, Belgium
| | - Klaus Witte
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Martin R Cowie
- Imperial College London (Royal Brompton Hospital), London, UK
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Cecilia Linde
- Heart and Vascular Theme, Karolinska University Hospital and Karolinska Institutet, Stockholm, Sweden
| | - Kevin Vernooy
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Center (Radboudumc), Nijmegen, The Netherlands
| | | | - Johann Bauersachs
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Carsten W Israel
- Department of Medicine - Cardiology, Diabetology and Nephrology, Bethel-Clinic, Bielefeld, Germany
| | - Lars H Lund
- Department of Medicine Karolinska Institutet, and Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Erwan Donal
- Cardiologie, CHU Rennes - LTSI Inserm UMR 1099, Université Rennes-1, Rennes, France
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Tiny Jaarsma
- Julius Center, University Medical Center Utrecht, Utrecht, The Netherlands.,Department of Health, Medicine and Caring Science, Linköping University, Linköping, Sweden
| | | | - Vassil Traykov
- Department of Cardiology, Acibadem City Clinic Tokuda Hospital, Sofia, Bulgaria
| | - Zaheer Yousef
- Department of Cardiology, University Hospital of Wales & Cardiff University, Cardiff, UK
| | - Zbigniew Kalarus
- Department of Cardiology, Medical University of Silesia, Katowice, Poland
| | | | - Jan Steffel
- UniversitätsSpital Zürich, Zürich, Switzerland
| | - Panos Vardas
- Heart Sector, Hygeia Hospitals Group, Athens, Greece
| | | | - Petar Seferovic
- Faculty of Medicine, Serbian Academy of Science and Arts, Belgrade University, Belgrade, Serbia
| | - Thor Edvardsen
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, and University of Oslo, Oslo, Norway
| | - Hein Heidbuchel
- Antwerp University and Antwerp University Hospital, Antwerp, Belgium
| | - Frank Ruschitzka
- Department of Cardiology, University Hospital, University Heart Center, Zurich, Switzerland
| | - Christophe Leclercq
- Cardiologie, CHU Rennes - LTSI Inserm UMR 1099, Université Rennes-1, Rennes, France
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58
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Rodriguez JBC. Beyond Left Ventricular Ejection Fraction Improvement in the Optimization of Cardiac Resynchronization Therapy. Angiology 2021; 73:293-295. [PMID: 33977766 DOI: 10.1177/00033197211015551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Jose B Cruz Rodriguez
- Division of Cardiovascular Medicine, Department of Internal Medicine, Texas Tech University Health Sciences Center, El Paso, USA
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59
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Abstract
Cardiac resynchronization therapy (CRT) is an important and effective therapy for end-stage heart failure. Non-response to CRT is one of the main obstacles to its application in clinical practice. There is no uniform consensus or definition of CRT “response.” Clinical symptoms, ventricular remodeling indices, and cardiovascular events have been reported to be associated with non-responders. To prevent non-response to CRT, three aspects should be thoroughly considered: preoperative patient selection, electrode implantation, and postoperative management. Preoperative selection of appropriate patients for CRT treatment is an important step in preventing non-response. Currently, the CRT inclusion criteria are mainly based on the morphology of QRS waves in deciding ventricular dyssynchrony. Echocardiography and cardiac magnetic resonance are being explored to predict nonresponse to CRT. The location of left ventricular electrode implantation is a current hot spot of research; it is important to identify the location of the latest exciting ventricular segment and avoid scars. Cardiac magnetic resonance and ultrasonic spot tracking are being progressively developed in this field. Some new techniques such as His Bundle pacing, endocardial electrodes, and novel sensors are also being investigated. Postoperative management of patients is another essential step towards preventing non-response; it mainly focuses on the treatment of the disease itself and CRT program control optimization. CRT treatment is just one part of the overall treatment of heart failure, and multidisciplinary efforts are needed to improve the overall outcome.
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Pacing at accelerated heart rate during echocardiography-guided atrioventricular optimisation following cardiac resynchronisation therapy. ACTA ACUST UNITED AC 2020; 5:e230-e236. [PMID: 33305061 PMCID: PMC7717446 DOI: 10.5114/amsad.2020.98928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 08/11/2020] [Indexed: 11/17/2022]
Abstract
Introduction Although echo-guided atrioventricular optimisation (AVO) is standardly performed at rest, this approach may not provide optimal AV synchrony during daily activities. Material and methods The AVO protocol at one of two hospital campuses had been modified to be performed while pacing at an accelerated heart rate. We tested if this approach would improve the yield from AVO compared to the other campus, where AVO was performed at the intrinsic sinus rate. Results Between campuses, no significant differences were seen in demographics, chamber sizes, left ventricular ejection fraction, and diastolic function grade. Those having AVO at C2 were more likely to demonstrate “fusion prone” physiology (36% vs. 9%; p = 0.006) and were more likely to display either “truncation- or fusion-prone” physiology (58% vs. 27%; p = 0.007). Conclusions When AVO was performed at an accelerated heart rate, patients with “truncation-prone” or “fusion-prone” physiology were identified more readily.
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Covino G, Volpicelli M, Ciardiello C, Capogrosso P. Usefulness of Hemodynamic Device-Based Optimization in Heterogeneous Patients Implanted with Cardiac Resynchronization Therapy Defibrillator. J Cardiovasc Transl Res 2020; 13:938-943. [PMID: 32385806 DOI: 10.1007/s12265-020-10004-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 04/07/2020] [Indexed: 10/24/2022]
Abstract
Optimization of the atrioventricular (AV) and interventricular (VV) timings of the CRT is the most supposed correctable variable to improve the rate of CRT responder. The aim of the present study has been to evaluate if there is a specific subgroup of patients who can actually benefit the most from a hemodynamic optimization of AV. This is a prospective, observational single-center study that enrolled consecutive patients with clinical indication for CRT; all patients were implanted with CRT-D devices with SonR technology, able to automatically adjust AV and VV delay on a weekly basis. Among 57 patients, 39 (69%) showed a LVESV reduction > 15%. The SonR was able to modify the pacing parameters, but an increase of left atrial diameter was associated to a reduced AV variability, suggesting that an impaired left atrial function could potentially reduce the ability of the SonR algorithm to adjust the correct timing of pacing. Graphical abstract Patients with respectively a high (A) and low (B) AV timing variability, among several parameters that could potentially influence the AV timing, only left atrial dimensions demonstrated a significant impact. In fact an increase of left atrial diameter was associated to a reduced AV variability, suggesting that an impaired left atrial function could potentially reduce the ability of the SonR algorithm to adjust the correct timing of pacing.
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Affiliation(s)
- Gregorio Covino
- Ospedale San Giovanni Bosco, Via Filippo Maria Briganti, 255, 80144, Naples, Italy
| | - Mario Volpicelli
- Ospedale San Giovanni Bosco, Via Filippo Maria Briganti, 255, 80144, Naples, Italy
| | | | - Paolo Capogrosso
- Ospedale San Giovanni Bosco, Via Filippo Maria Briganti, 255, 80144, Naples, Italy
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Donal E, Delgado V, Bucciarelli-Ducci C, Galli E, Haugaa KH, Charron P, Voigt JU, Cardim N, Masci PG, Galderisi M, Gaemperli O, Gimelli A, Pinto YM, Lancellotti P, Habib G, Elliott P, Edvardsen T, Cosyns B, Popescu BA. Multimodality imaging in the diagnosis, risk stratification, and management of patients with dilated cardiomyopathies: an expert consensus document from the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging 2020; 20:1075-1093. [PMID: 31504368 DOI: 10.1093/ehjci/jez178] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 06/19/2019] [Indexed: 12/12/2022] Open
Abstract
Dilated cardiomyopathy (DCM) is defined by the presence of left ventricular or biventricular dilatation and systolic dysfunction in the absence of abnormal loading conditions or coronary artery disease sufficient to explain these changes. This is a heterogeneous disease frequently having a genetic background. Imaging is important for the diagnosis, the prognostic assessment and for guiding therapy. A multimodality imaging approach provides a comprehensive evaluation of all the issues related to this disease. The present document aims to provide recommendations for the use of multimodality imaging according to the clinical question. Selection of one or another imaging technique should be based on the clinical condition and context. Techniques are presented with the aim to underscore what is 'clinically relevant' and what are the tools that 'can be used'. There remain some gaps in evidence on the impact of multimodality imaging on the management and the treatment of DCM patients where ongoing research is important.
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Affiliation(s)
- Erwan Donal
- Service de Cardiologie et CIC-IT INSERM 1414, CHU Pontchaillou, 2 rue Henri Le Guilloux, Rennes, France.,LTSI, Université de Rennes 1, INSERM, UMR, Rennes, France
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Centre, Albinusdreef 2, Leiden RC, The Netherlands
| | - Chiara Bucciarelli-Ducci
- Bristol Heart Institute, University of Bristol, University Hospitals Bristol NHS Foundation Trust, Malborough St, Bristol, UK
| | - Elena Galli
- Service de Cardiologie et CIC-IT INSERM 1414, CHU Pontchaillou, 2 rue Henri Le Guilloux, Rennes, France.,LTSI, Université de Rennes 1, INSERM, UMR, Rennes, France
| | - Kristina H Haugaa
- Department of Cardiology, Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, Oslo, Norway
| | - Philippe Charron
- Centre de Référence pour les Maladies Cardiaques Héréditaires, APHP, ICAN, Hôpital de la Pitié Salpêtrière, Paris, France.,Université Versailles Saint Quentin & AP-HP, CESP, INSERM U1018, Service de Génétique, Hôpital Ambroise Paré, Boulogne-Billancourt, France
| | - Jens-Uwe Voigt
- Department of Cardiovascular Sciences, University of Leuven, Herestraat 49, Leuven, Belgium
| | - Nuno Cardim
- Cardiology Department, Hospital da Luz, Av. Lusíada, n° 100, Lisbon, Portugal
| | - P G Masci
- HeartClinic, Hirslanden Hospital Zurich, Witellikerstrasse 32, CH Zurich, Switzerland
| | - Maurizio Galderisi
- Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy
| | - Oliver Gaemperli
- HeartClinic, Hirslanden Hospital Zurich, Witellikerstrasse 32, CH Zurich, Switzerland
| | - Alessia Gimelli
- Fondazione Toscana Gabriele Monasterio, Via Moruzzi, 1, Pisa, Italy
| | - Yigal M Pinto
- Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Patrizio Lancellotti
- Department of Cardiology, University of Liège Hospital, Domaine Universitaire du Sart Tilman, B Liège, Belgium
| | - Gilbert Habib
- Cardiology Department, APHM, La Timone Hospital, Boulevard Jean Moulin, Marseille, France.,Aix Marseille University, IRD, APHM, MEPHI, IHU-Méditerranée Infection, Boulevard Jean Moulin, Marseille, France
| | - Perry Elliott
- Institute of Cardiovascular Science, University College London, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | - Thor Edvardsen
- Department of Cardiology, Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, Oslo, Norway
| | - Bernard Cosyns
- Centrum voor Hart en Vaatziekten (CHVZ), Unversitair Ziekenhuis Brussel, Laarbeeklaan 101, Brussel, Belgium
| | - Bogdan A Popescu
- Department of Cardiology, University of Medicine and Pharmacy "Carol Davila"- Euroecolab, Emergency Institute of Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Sos. Fundeni 258, Sector 2, Bucharest, Romania
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Ferchaud V, Garcia R, Bidegain N, Degand B, Milliez P, Pezel T, Moubarak G. Non-invasive hemodynamic determination of patient-specific optimal pacing mode in cardiac resynchronization therapy. J Interv Card Electrophysiol 2020; 62:347-356. [PMID: 33128179 DOI: 10.1007/s10840-020-00908-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 10/26/2020] [Indexed: 11/26/2022]
Abstract
PURPOSE Cardiac resynchronization therapy (CRT) devices have multiple programmable pacing parameters. The purpose of this study was to determine the best pacing mode, i.e., associated with the greatest acute hemodynamic response, in each patient. METHODS Patients in sinus rhythm and intact atrioventricular conduction were included within 3 months of implantation of devices featuring SyncAV and multipoint pacing (MPP) algorithms. The effect of nominal biventricular pacing using the latest activated electrode (BiV-Late), optimized atrioventricular delay (AVD), nominal and optimized SyncAV, and anatomical MPP was determined by non-invasive measurement of systolic blood pressure (SBP). CRT response was defined as SBP increase > 10% relative to baseline. RESULTS Thirty patients with left bundle branch block (LBBB) were included. BiV-Late increased SBP compared to intrinsic rhythm (128 ± 21 mmHg vs. 121 ± 22 mmHg, p = 0.0002). The best pacing mode further increased SBP to 140 ± 19 mmHg (p < 0.0001 vs. BiV-Late). The proportion of CRT responders increased from 40% with BiV-Late to 80% with the best pacing mode (p = 0.0005). Compared to BiV-Late, optimized AVD and optimized SyncAV increased SBP (to 134 ± 21 mmHg, p = 0.004, and 133 ± 20 mmHg, p = 0.0003, respectively), but nominal SyncAV and MPP did not. The best pacing mode was variable between patients and was different from nominal BiV-Late in 28 (93%) patients. Optimized AVD was the most frequent best mode, in 14 (47%) patients. CONCLUSION In patients with LBBB, the best pacing mode was patient-specific and doubled the magnitude of acute hemodynamic response and the proportion of acute CRT responders compared to nominal BiV-Late pacing. TRIAL REGISTRATION ClinicalTrials.gov : NCT03779802.
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Affiliation(s)
- Virginie Ferchaud
- Department of Electrophysiology and Pacing, Centre Médico-Chirurgical Ambroise Paré, 27 Boulevard Victor Hugo, 92200, Neuilly-sur-Seine, France
- Department of Cardiology, Centre Hospitalier Universitaire de Caen Normandie, Caen, France
| | - Rodrigue Garcia
- Department of Cardiology, Centre Hospitalier Universitaire de Poitiers, Poitiers, France
| | - Nicolas Bidegain
- Department of Cardiology, Centre Hospitalier Universitaire de Poitiers, Poitiers, France
| | - Bruno Degand
- Department of Cardiology, Centre Hospitalier Universitaire de Poitiers, Poitiers, France
| | - Paul Milliez
- Department of Cardiology, Centre Hospitalier Universitaire de Caen Normandie, Caen, France
| | - Théo Pezel
- Department of Cardiology, Centre Hospitalier Universitaire Lariboisière, Paris, France
| | - Ghassan Moubarak
- Department of Electrophysiology and Pacing, Centre Médico-Chirurgical Ambroise Paré, 27 Boulevard Victor Hugo, 92200, Neuilly-sur-Seine, France.
- Department of Cardiology, Centre Hospitalier Universitaire Lariboisière, Paris, France.
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Monkhouse C, Cambridge A, Chow AWC, Behar J. Pacemaker-mediated tachycardia in a dual-lead CRT-D: What is the mechanism? PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2020; 44:151-155. [PMID: 33058215 DOI: 10.1111/pace.14089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/20/2020] [Accepted: 10/11/2020] [Indexed: 11/30/2022]
Abstract
A 73-year-old gentleman with dilated cardiomyopathy, left bundle branch block and a left ventricular (LV) ejection fraction of 20% was implanted with two LV leads in a tri-ventricular cardiac resynchronisation therapy defibrillator (CRT-D) trial. As a part of the trial he was programmed with fusion-based CRT therapy with dual LV lead only pacing. The patient presented to local heart failure service 12 years after implant, after a positive response to CRT therapy, with increase in fatigue, shortness of breath and bilateral pitting oedema. The patient sent a remote monitoring transmission that suggested loss of capture on one of the LV leads. This coupled with atrial ectopics was producing a high burden of pacemaker-mediated tachycardia (PMT) that was not seen when both LV leads had been capturing. What is the mechanism for this? Dual LV-lead tri-ventricular leads have been shown to have variable improvements in CRT response but with an increased complexity of implant procedure. This is the first case report of PMT-induced heart failure exacerbation in a tri-ventricular device following loss of LV capture of one lead.
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Lahiri A, Chahadi FK, Ganesan AN, McGavigan AD. Characteristics that Predict Response After Cardiac Resynchronization Therapy. CURRENT CARDIOVASCULAR RISK REPORTS 2020. [DOI: 10.1007/s12170-020-00640-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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66
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Yenerçağ M, Yüksel S, Çoksevim M, Akçay M, Arslan U. Noninvasive cardiac output measurement based optimization in nonresponders of cardiac resynchronization therapy. PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2020; 43:394-401. [PMID: 32198929 DOI: 10.1111/pace.13904] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 03/03/2020] [Accepted: 03/15/2020] [Indexed: 12/28/2022]
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) is an important and effective therapy for end-stage heart failure (HF). Nonresponse to CRT is one of the main obstacles to its application in clinical practice. Herein, we investigated the utilization of the optimization technique using noninvasive cardiac output measurement (NICOM) based Mobil-O-Graph device that measures several circulation parameters noninvasively. METHODS Seventy-five CRT nonresponder HF patients with an implanted CRT device were included. Patients were randomized equally to 3 groups: NICOM, echocardiographic, and empirical optimization groups. After 3 months of optimization, changes in six minutes walk test (6-MWT), cardiac output (CO), left ventricular ejection fraction (LVEF), and end-systolic volume (LVESV) were measured. New York Heart Association (NYHA) class and hospitalization for HF were also determined. RESULTS There were no statistically significant differences among the three groups in terms of demographics, baseline characteristics. In the NICOM group, the 6-MWT, LVEF, CO, and LVESV measurements showed significant improvements compared to baseline values (P < .05). There was no significant improvement in 6-MWT, LVEF, CO, NYHA class, and LVESV in Echo and Empirical groups after 3 months (P > .05). 6-MWT, CO, LVESV percentages, and hospitalization for HF were significantly different between the groups (P < .05). In post hoc analyzes, the percentages of the change in 6-MWT, CO, LVESV, and hospitalization for HF were significantly higher in the NICOM group (P < .017). CONCLUSIONS This study suggests that Mobil-O-Graph device optimization according to CO measures does appear to have potential hemodynamic and clinical benefits in nonresponder CRT patients. Use of Mobil-O-Graph device as an option for optimization of CRT devices can be an attractive method of improving CRT outcomes.
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Affiliation(s)
- Mustafa Yenerçağ
- Department of Cardiology, University of Health Sciences, Samsun Training and Research Hospital, Samsun, Turkey
| | - Serkan Yüksel
- Department of Cardiology, Ondokuz Mayıs University Hospital, Samsun, Turkey
| | - Metin Çoksevim
- Department of Cardiology, Ondokuz Mayıs University Hospital, Samsun, Turkey
| | - Murat Akçay
- Department of Cardiology, Ondokuz Mayıs University Hospital, Samsun, Turkey
| | - Uğur Arslan
- Department of Cardiology, University of Health Sciences, Samsun Training and Research Hospital, Samsun, Turkey
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Singh JP, Cha YM, Lunati M, Chung ES, Li S, Smeets P, O'Donnell D. Real-world behavior of CRT pacing using the AdaptivCRT algorithm on patient outcomes: Effect on mortality and atrial fibrillation incidence. J Cardiovasc Electrophysiol 2020; 31:825-833. [PMID: 32009263 PMCID: PMC7187461 DOI: 10.1111/jce.14376] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 12/18/2019] [Accepted: 01/15/2020] [Indexed: 01/14/2023]
Abstract
Background The AdaptivCRT (aCRT) algorithm continuously adjusts cardiac resynchronization therapy (CRT) according to intrinsic atrioventricular conduction, providing synchronized left ventricular pacing in patients with normal PR interval and adaptive BiV pacing in patients with prolonged PR interval. Previous analyses demonstrated an association between aCRT and clinical benefit. We evaluated the incidence of patient mortality and atrial fibrillation (AF) with aCRT compared with standard CRT in a real‐world population. Methods and Results Patients enrolled in the Medtronic Personalized CRT Registry and implanted with a CRT from 2013‐2018 were divided into aCRT ON or standard CRT groups based upon device‐stored data. A Frailty survival model was used to evaluate the potential survival benefit of aCRT, accounting for patient heterogeneity and center variability. Daily AF burden and first device‐detected AF episodes of various durations were recorded by the device during follow‐up. A total of 1814 CRT patients with no reported long‐standing AF history at implant were included. Mean follow‐up time was 26.1 ± 16.5 months and 1162 patients (64.1%) had aCRT ON. Patient survival probability at 36 months was 88.3% for aCRT ON and 83.7% for standard CRT (covariate‐adjusted hazard ratio [HR] = 0.71, 95% CI: 0.53‐0.96, P = .028). Mean AF burden during follow‐up was consistently lower in aCRT ON patients compared with standard CRT. At 36 months, the probability of AF was lower in patients with aCRT ON, regardless of which AF definition threshold was applied (6 minutes‐30 days, all P < .001). Conclusion Use of the AdaptivCRT algorithm was associated with improved patient survival and lower incidence of AF in a real‐world, prospective, nonrandomized registry.
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Affiliation(s)
- Jagmeet P Singh
- Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts
| | - Yong-Mei Cha
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
| | - Maurizio Lunati
- Department of Cardiology/Cardiac-Thoracic-Vascular Surgery, Ospedale Niguarda, Niguarda, Italy
| | - Eugene S Chung
- The Lindner Clinical Research Center, The Heart and Vascular Center at the Christ Hospital, Cincinnati, Ohio
| | - Shelby Li
- Medtronic, Plc, Mounds View, Minnesota
| | - Pascal Smeets
- Medtronic Bakken Research Center, Maastricht, Netherlands
| | - David O'Donnell
- Department of Electrophysiology, GenesisCare, Heidelberg, Victoria, Australia
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Korach R, Kahr PC, Ruschitzka F, Steffel J, Flammer AJ, Winnik S. Long-term follow-up after cardiac resynchronization therapy-optimization in a real-world setting: A single-center cohort study. Cardiol J 2020; 28:728-737. [PMID: 31960943 DOI: 10.5603/cj.a2020.0004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 11/15/2019] [Accepted: 01/01/2020] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Suboptimal device programming is among the reasons for reduced response to cardiac resynchronization therapy (CRT). However, whether systematic optimization is beneficial remains unclear, particularly late after CRT implantation. The aim of this single-center cohort study was to assess the effect of systematic atrioventricular delay (AVD) optimization on echocardiographic and device parameters. METHODS Patients undergoing CRT optimization at the University Hospital Zurich between March 2011 and January 2013, for whom a follow-up was available, were included. AVD optimization was based on 12-lead electrocardiography (ECG) and echocardiographic left ventricular inflow characteristics. Parameters were assessed at the time of CRT optimization and follow-up, and were compared between patients with AVD optimization (intervention group) and those for whom no AVD optimization was deemed necessary (control group). RESULTS Eighty-one patients with a mean age of 64 ± 11 years were included in the analysis. In 73% of patients, AVD was deemed suboptimal and was changed accordingly. After a median follow-up time of 10.4 (IQR 6.2 to 13.2) months, the proportion of patients with sufficient biventricular pacing (> 97% pacing) was greater in the intervention group (78%) compared to controls (50%). Furthermore, AVD adaptation was associated with an improvement in interventricular mechanical delay (decrease of 6.6 ± 26.2 ms vs. increase of 4.3 ± 17.7 ms, p = 0.034) and intraventricular septal-to-lateral delay (decrease of 0.9 ± 48.1 ms vs. increase of 15.9 ± 15.7 ms, p = 0.038), as assessed by tissue Doppler imaging. Accordingly, a reduction was observed in mitral regurgitation along with a trend towards reduced left ventricular volumes. CONCLUSIONS In this "real-world" setting systematic AVD optimization was associated with beneficial effects regarding biventricular pacing and left ventricular remodeling. These data show that AVD optimization may be advantageous in selected CRT patients.
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Affiliation(s)
- Raphael Korach
- University Heart Center, Cardiology, University Hospital Zurich, Switzerland
| | - Peter C Kahr
- University Heart Center, Cardiology, University Hospital Zurich, Switzerland
| | - Frank Ruschitzka
- University Heart Center, Cardiology, University Hospital Zurich, Switzerland
| | - Jan Steffel
- University Heart Center, Cardiology, University Hospital Zurich, Switzerland
| | - Andreas J Flammer
- University Heart Center, Cardiology, University Hospital Zurich, Switzerland
| | - Stephan Winnik
- University Heart Center, Cardiology, University Hospital Zurich, Switzerland.
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Šipula D, Kozák M, Šipula J, Homza M, Plášek J. Cardiac Strains As a Tool for Optimization of Cardiac Resynchronization Therapy in Non-responders: a Pilot Study. Open Med (Wars) 2020; 14:945-952. [PMID: 31934639 PMCID: PMC6947762 DOI: 10.1515/med-2019-0111] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 07/30/2019] [Indexed: 11/16/2022] Open
Abstract
Background Approximately 30% of patients do not respond to implantation of Cardiac Resynchronization Therapy – Defibrillators (CRT-D). The aim of this study was to investigate the potential for cardiac strain speckle tracking to optimize the performance of CRT-D in non-responding patients. Methods 30 patients not responding to Cardiac Resynchronization Therapy-Defibrillators after 3 months were randomly divided into control and intervention groups. Atrioventricular interval was adjusted so that E and A waves did not overlap, the interventricular interval was subsequently optimized to yield maximum improvement of the sum of longitudinal+radial+circumferential strains. The left ventricular ejection fraction (LVEF) and NYHA improvement 3 months after optimization were evaluated and use of other strain combinations assessed. Results A significant correlation between the (combined) strain change and LVEF improvement was detected (p<0.01). 75% of patients with non-ischemic etiology of heart failure who did not respond to the original CRT-D reacted favorably with significant LVEF and NYHA improvement. The area strain was the best predictor of LVEF/NYHA improvement in those patients. No significant improvement was recorded in patients with ischemic etiology. Conclusions AV and VV optimization based on speckle tracking is a very promising method potentially leading to a significant improvement of the outcome of CRT-D, especially in patients with non-ischemic etiology of heart failure.
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Affiliation(s)
- David Šipula
- Department of Cardiovascular Diseases, University Hospital in Ostrava, 17. listopadu 1790, 708 00 Ostrava, Czech Republic.,Faculty of Medicine, Masaryk University Brno, Kamenice 5, 625 00 Brno, Czech Republic
| | - Milan Kozák
- Faculty of Medicine, Masaryk University Brno, Kamenice 5, 625 00 Brno, Czech Republic.,Clinic of Internal Medicine - Cardiology, University Hospital Brno, 625 00, Czech Republic
| | - Jaroslav Šipula
- Department of Cardiovascular Diseases, University Hospital in Ostrava, 17. listopadu 1790, 708 00 Ostrava, Czech Republic
| | - Miroslav Homza
- Department of Cardiovascular Diseases, University Hospital in Ostrava, 17. listopadu 1790, 708 00 Ostrava, Czech Republic
| | - Jiří Plášek
- Department of Cardiovascular Diseases, University Hospital in Ostrava, 17. listopadu 1790, 708 00 Ostrava, Czech Republic
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Wang J, Liang Y, Chen H, Wang W, Bai J, Chen X, Qin S, Su Y, Ge J. Patient-tailored SyncAV algorithm: A novel strategy to improve synchrony and acute hemodynamic response in heart failure patients treated by cardiac resynchronization therapy. J Cardiovasc Electrophysiol 2019; 31:512-520. [PMID: 31828904 DOI: 10.1111/jce.14315] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 11/06/2019] [Accepted: 12/03/2019] [Indexed: 01/22/2023]
Abstract
INTRODUCTION Several automatic algorithms have developed to optimize the timing cycle setting in cardiac resynchronization therapy (CRT). The present study aims to investigate whether the novel device-based SyncAV algorithm could elicit better synchrony and acute hemodynamic response. METHODS AND RESULTS Thirty five patients undergoing CRT implantation were prospectively studied. The device was programmed to three biventricular (BiV) pacing modes sequentially after the procedure: QuickOpt algorithm (mode I), SyncAV algorithm with default 50 ms offset (mode II), and SyncAV algorithm with optimized offset minimizing QRS duration (QRSd) (mode III). After each setting, electrocardiographic and echocardiographic data were collected. As a result, QRSd was reduced from 172.8 ± 17.9 ms during intrinsic conduction to 153.1 ± 15.9 ms in mode I, further narrowed to 140.5 ± 16.7 ms in mode II, and reached shortest (134.8 ± 16.1 ms) in mode III (P < .01 for all). Besides, significantly shorter QT intervals were observed in mode I (453.2 ± 45.5 ms), mode II (443.9 ± 34.2 ms) and mode III (444.1 ± 28.7 ms), compared with native condition (472.5 ± 51.2 ms) (P < .01). All three BiV modes exhibited comparable Tp Te interval and Tp Te /QT ratio (P > .05). Mode I presented significantly higher aortic velocity time integral than intrinsic conduction (21.0 ± 6.4 cm vs 18.4 ± 5.5 cm; P < .01), which was even higher in mode II (22.0 ± 6.5 cm) and mode III (23.7 ± 6.5 cm). All three BiV modes significantly reduced standard deviation of time to peak contraction of 12-LV segments (Ts-SD) (Mode I: 55.2 ± 16.5 ms, Mode II: 50.2 ± 14.7 ms, Mode III: 45.4 ± 14.4 ms) compared with intrinsic conduction (66.3 ± 18.4 ms) (P < .01), with Mode III demonstrating the smallest (P < .01). CONCLUSION SyncAV CRT ameliorated electrical and mechanical synchrony as well as acute hemodynamic response beyond conventional QuickOpt optimization. An additional individualized adjustment to the SyncAV offset added to its advantage.
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Affiliation(s)
- Jingfeng Wang
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yixiu Liang
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Haiyan Chen
- Department of Echocardiography, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Wang
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jin Bai
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xueying Chen
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shengmei Qin
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yangang Su
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Junbo Ge
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
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Comparison of measures of ventricular delay on cardiac resynchronization therapy response. Heart Rhythm 2019; 17:615-620. [PMID: 31765805 DOI: 10.1016/j.hrthm.2019.11.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Indexed: 11/21/2022]
Abstract
BACKGROUND Left ventricular (LV) pacing at sites of prolonged LV delay (QLV) or at long interventricular delay (right ventricle [RV]-LV) is strongly associated with cardiac resynchronization therapy (CRT) response. QLV and RV-LV have been independently evaluated, but little is known regarding the interrelationship between these measures or of delay to the RV. OBJECTIVE The purpose of this study was to evaluate the relationship between measures of electrical delay on CRT response in the SMART-AV (SmartDelay Determined AV Optimization: A Comparison to Other AV Delay Methods Used in Cardiac Resynchronization Therapy) trial. METHODS In 419 patients, QLV and RV-LV were measured. CRT response was defined as a >15% reduction in LV end-systolic volume from implant to 6 months. The correlation between QLV and RV-LV and the clinical variables associated with the difference between QLV and RV-LV (QRV) were determined. Multivariable logistic regression was used to analyze the association between these measures on CRT response. A machine learning algorithm was used to construct a classification tree to predict response to CRT. RESULTS The cohort was 66% male (age 66 ± 11 years), 75% had left bundle branch block; and QRS was 150 ± 25 ms. QLV and RV-LV were highly correlated (R2 = 0.71). A longer QRV was observed among patients with right bundle branch block, ischemic cardiomyopathy, and increased QRS. In a multivariable model including QLV, RV-LV, and other known predictors of CRT response, RV-LV, but not QLV, remained associated with CRT response (odds ratio 1.13; 95% confidence interval 1.02-1.26; P = .017). Combining the 2 measures achieved better prediction of CRT response in the group with intermediate RV-LV. CONCLUSION RV-LV is a better predictor of CRT response than QLV. There is incremental value in using both measurements or QRV in certain subpopulations.
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Niu H, Yu Y, Sturdivant JL, An Q, Gold MR. The effect of posture, exercise, and atrial pacing on atrioventricular conduction in systolic heart failure. J Cardiovasc Electrophysiol 2019; 30:2892-2899. [PMID: 31691436 DOI: 10.1111/jce.14264] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 08/29/2019] [Accepted: 11/01/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND Optimization of atrioventricular (AV) intervals for cardiac resynchronization therapy (CRT) programming is typically performed in supine patients at rest, which may not reflect AV timing in other conditions. OBJECTIVE To evaluate the effects of posture, exercise, and atrial pacing on intrinsic AV intervals in patients with CRT devices. METHODS Rate-dependent A-V delay by exercise was a multicenter, prospective trial of patients in sinus rhythm following CRT implantation. Intracardiac electrograms were recorded to analyze atrial to right ventricular (ARV), atrial to left ventricular (ALV), and RV to LV (VV) time intervals. Heart rate was increased with incremental atrial pacing in different postures, followed by an exercise treadmill test. RESULTS This study included 36 patients. At rest, AV intervals changed minimally with posture. With atrial pacing, AV interval immediately increased compared with sinus rhythm, with ARV slopes being 8.1 ± 7.7, 8.8 ± 13.4, and 6.8 ± 6.5 milliseconds per beat per minute (ms/bpm) and ALV slopes being 8.2 ± 7.7, 9.1 ± 12.8, and 7.0 ± 6.5 ms/bpm for supine, standing and sitting positions, respectively. As the paced heart rate increased, ARV and ALV intervals increased more gradually with similar trends. Interventricular conduction times changed less than 0.2 ms/bpm with atrial pacing. During exercise, the direction of change of intrinsic ARV intervals, as heart rate increased, was variable between patients with relatively small overall group changes (0.1 ± 1.4 and 0.2 ± 1.2 ms/bpm for ARV and ALV, respectively). CONCLUSION Posture and exercise have a smaller effect on AV timing compared with atrial pacing. However, individualized optimization and dynamic rate related changes may be needed to maintain optimal fusion with left ventricular (LV) stimulation.
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Affiliation(s)
- Hongxia Niu
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Division of Cardiology, Medical University of South Carolina, Charleston, South Carolina
| | - Yinghong Yu
- Division of Cardiology, Medical University of South Carolina, St. Paul, Minnesota
| | - John L Sturdivant
- Division of Cardiology, Medical University of South Carolina, Charleston, South Carolina
| | - Qi An
- Division of Cardiology, Medical University of South Carolina, St. Paul, Minnesota
| | - Michael R Gold
- Division of Cardiology, Medical University of South Carolina, Charleston, South Carolina
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Singh JP, Abraham WT, Auricchio A, Delnoy PP, Gold M, Reddy VY, Sanders P, Lindenfeld J, Rinaldi CA. Design and rationale for the Stimulation Of the Left Ventricular Endocardium for Cardiac Resynchronization Therapy in non-responders and previously untreatable patients (SOLVE-CRT) trial. Am Heart J 2019; 217:13-22. [PMID: 31472360 DOI: 10.1016/j.ahj.2019.04.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 04/02/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) improves outcomes, functional capacity and quality of life in patients with heart failure. Despite two decades of experience with CRT, the rate of non-response remains approximately 30%. CRT efficacy is impacted by pacing location, which is anatomically limited in conventional systems. A new wireless endocardial left ventricular (LV) pacing system allows CRT without such limitations and has shown promise in open-label studies. The purpose of this study is to evaluate its use in a patient population with poor therapeutic alternatives. METHODS The SOLVE CRT study is an international, multi-center, randomized, double-blind, sham-controlled trial of patients with Class I and IIa indications for CRT who have either failed to respond to or have been unable to receive conventional CRT. Enrollment will comprise 350 patients implanted with the wireless CRT system randomized 1:1 to therapy on (Treatment) or therapy off (Control) for the six-month period over which trial primary endpoints will be evaluated. The primary safety endpoint will measure the proportion of patients free from system- and procedure-related complications. Primary efficacy endpoints will assess absolute change in LV end-systolic volume LVESV, proportion of patients reducing LVESV by ≥15% and clinical composite score for Treatment versus Control patients. Primary endpoints will be evaluated on an intention-to-treat basis, though per-protocol and as-treated analysis will also be performed. CONCLUSION SOLVE-CRT will quantify the safety and effectiveness of wireless CRT in non-responders to conventional CRT and indicated patients who have been unable to receive CRT via the usual transvenous approach.
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Kasagawa A, Nakajima I, Izumo M, Nakayama Y, Yamada M, Takano M, Matsuda H, Furukawa T, Miyazaki H, Harada T, Akashi YJ. Novel Device-Based Algorithm Provides Optimal Hemodynamics During Exercise in Patients With Cardiac Resynchronization Therapy. Circ J 2019; 83:2002-2009. [PMID: 31462585 DOI: 10.1253/circj.cj-19-0512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND An adaptive cardiac resynchronization therapy (aCRT) algorithm has been described for synchronized left ventricular (LV) pacing and continuous optimization of cardiac resynchronization therapy (CRT). However, there are few algorithmic data on the effect of changes during exercise. METHODS AND RESULTS We enrolled 27 patients with availability of the aCRT algorithm. Eligible patients were manually programmed to optimal atrioventricular (AV) and interventricular (VV) delays by using echocardiograms at rest or during 2 stages of supine bicycle exercise. We compared the maximum cardiac output between manual echo-optimization and aCRT-on during each phase. After initiating exercise, the optimal AV delay progressively shortened (P<0.05) with incremental exercise levels. The manual-optimized settings and aCRT resulted in similar cardiac performance, as demonstrated by a high concordance correlation coefficient between the LV outflow tract velocity time integral (LVOT-VTI) during each exercise stage (Ex.1: r=0.94 P<0.0008, Ex.2: r=0.88 P<0.001, respectively). Synchronized LV-only pacing in patients with normal AV conduction could provide a higher LVOT-VTI as compared with manual-optimized conventional biventricular pacing at peak exercise (P<0.05). CONCLUSIONS The aCRT algorithm was physiologically sound during exercise by patients.
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Affiliation(s)
- Akira Kasagawa
- Division of Cardiology, St. Marianna University School of Medicine
| | - Ikutaro Nakajima
- Division of Cardiology, St. Marianna University School of Medicine
| | - Masaki Izumo
- Division of Cardiology, St. Marianna University School of Medicine
| | - Yui Nakayama
- Division of Cardiology, St Marianna University School of Medicine, Yokohama City Seibu Hospital
| | - Marika Yamada
- Division of Cardiology, St. Marianna University School of Medicine
| | - Makoto Takano
- Division of Cardiology, St. Marianna University School of Medicine
| | - Hisao Matsuda
- Division of Cardiology, St Marianna University School of Medicine, Yokohama City Seibu Hospital
| | - Toshiyuki Furukawa
- Division of Cardiology, St. Marianna University School of Medicine, Toyoko Hospital
| | | | - Tomoo Harada
- Division of Cardiology, St. Marianna University School of Medicine
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75
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Steingrimsson JA, Betz J, Qian T, Rosenblum M. Optimized adaptive enrichment designs for three-arm trials: learning which subpopulations benefit from different treatments. Biostatistics 2019; 22:283-297. [PMID: 31420983 DOI: 10.1093/biostatistics/kxz030] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 06/13/2019] [Accepted: 07/15/2019] [Indexed: 11/13/2022] Open
Abstract
We consider the problem of designing a confirmatory randomized trial for comparing two treatments versus a common control in two disjoint subpopulations. The subpopulations could be defined in terms of a biomarker or disease severity measured at baseline. The goal is to determine which treatments benefit which subpopulations. We develop a new class of adaptive enrichment designs tailored to solving this problem. Adaptive enrichment designs involve a preplanned rule for modifying enrollment based on accruing data in an ongoing trial. At the interim analysis after each stage, for each subpopulation, the preplanned rule may decide to stop enrollment or to stop randomizing participants to one or more study arms. The motivation for this adaptive feature is that interim data may indicate that a subpopulation, such as those with lower disease severity at baseline, is unlikely to benefit from a particular treatment while uncertainty remains for the other treatment and/or subpopulation. We optimize these adaptive designs to have the minimum expected sample size under power and Type I error constraints. We compare the performance of the optimized adaptive design versus an optimized nonadaptive (single stage) design. Our approach is demonstrated in simulation studies that mimic features of a completed trial of a medical device for treating heart failure. The optimized adaptive design has $25\%$ smaller expected sample size compared to the optimized nonadaptive design; however, the cost is that the optimized adaptive design has $8\%$ greater maximum sample size. Open-source software that implements the trial design optimization is provided, allowing users to investigate the tradeoffs in using the proposed adaptive versus standard designs.
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Affiliation(s)
- Jon Arni Steingrimsson
- Department of Biostatistics, Brown University, 121 South Main Street, Providence, RI 02903, USA
| | - Joshua Betz
- Department of Biostatistics, Johns Hopkins University, 615 North Wolfe Street, Baltimore, MD 21205, USA
| | - Tianchen Qian
- Department of Statistics, Harvard University, 1 Oxford St, Cambridge, MA 02138, USA
| | - Michael Rosenblum
- Department of Biostatistics, Johns Hopkins University, 615 North Wolfe Street, Baltimore, MD 21205, USA
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76
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Breitenstein A, Steffel J. Devices in Heart Failure Patients-Who Benefits From ICD and CRT? Front Cardiovasc Med 2019; 6:111. [PMID: 31457018 PMCID: PMC6700378 DOI: 10.3389/fcvm.2019.00111] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Accepted: 07/22/2019] [Indexed: 12/28/2022] Open
Abstract
Despite advances in heart failure treatment, this condition remains a relevant medical issue and is associated with a high morbidity and mortality. The cause of death in patients suffering from heart failure is not only a result of hemodynamic failure, but can also be due to ventricular arrhythmias. Implantable cardioverter defibrillators (ICDs) are these days the only tool to significantly reduce arrhythmic sudden death; but not all patients benefit to the same extend. In addition, cardiac resynchronization therapy (CRT) is another tool which is used in patients suffering from heart fialure. Even though both devices have been investigated in large randomized trials, both ICD and CRT remain underutilized in many countries. This brief review focuses on various aspects in this regard including a short overview on upcoming device novelties in the near future.
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Affiliation(s)
- Alexander Breitenstein
- Electrophysiology, Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
| | - Jan Steffel
- Electrophysiology, Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
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77
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Abstract
CRT is a cornerstone of therapy for patients with heart failure and reduced ejection fraction. By restoring left ventricular (LV) electrical and mechanical synchrony, CRT can reduce mortality, improve LV function and reduce heart failure symptoms. Since its introduction, many advances have been made that have improved the delivery of and enhanced the response to CRT. Improving CRT outcomes begins with proper patient selection so CRT is delivered to all populations that could benefit from it, and limiting the implantation of CRT in those with a small chance of response. In addition, advancements in LV leads and delivery technologies coupled with multimodality imaging and electrical mapping have enabled operators to place coronary sinus leads in locations that will optimise electrical and mechanical synchrony. Finally, new pacing strategies using LV endocardial pacing or His bundle pacing have allowed for CRT delivery and improved response in patients with poor coronary sinus anatomy or lack of response to traditional CRT.
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Affiliation(s)
- George Thomas
- Department of Medicine, Division of Cardiology, Cornell University Medical Center New York, US
| | - Jiwon Kim
- Department of Medicine, Division of Cardiology, Cornell University Medical Center New York, US
| | - Bruce B Lerman
- Department of Medicine, Division of Cardiology, Cornell University Medical Center New York, US
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78
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Dauw J, Martens P, Mullens W. CRT Optimization: What Is New? What Is Necessary? CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2019; 21:45. [PMID: 31342198 DOI: 10.1007/s11936-019-0751-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Cardiac resynchronization therapy (CRT) has proven to improve quality of life, reduce heart failure hospitalization, and prolong life in selected heart failure patients with reduced ejection fraction, on optimal medical therapy and with electrical dyssynchrony. To ensure maximal benefit for CRT patients, optimization of care should be implemented. This begins with appropriate referring as well as selecting patients, knowing that the presence of left bundle branch block and QRS ≥ 150 ms is associated with the greatest reverse remodeling. The LV lead, preferably quadripolar, is best targeted in a postero-lateral position. After implantation, optimal device programming should aim for maximal biventricular pacing and in selected cases further electrical delay optimization might be of use. Even as important, is the implementation of thorough multidisciplinary heart failure care with medication uptitration, remote monitoring, rehabilitation, and patient education. The role of newer pacing strategies as endocardial or His-bundle pacing remains the subject of ongoing investigation.
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Affiliation(s)
- Jeroen Dauw
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, 3600, Genk, Belgium
- Doctoral School for Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium
| | - Pieter Martens
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, 3600, Genk, Belgium
- Doctoral School for Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium
| | - Wilfried Mullens
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, 3600, Genk, Belgium.
- Biomedical Research Institute, Faculty of Medicine and Life Sciences, LCRC, Hasselt University, Diepenbeek, Belgium.
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79
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Gwag HB, Park Y, Lee SS, Kim JS, Park KM, On YK, Park SJ. Efficacy of Cardiac Resynchronization Therapy Using Automated Dynamic Optimization and Left Ventricular-only Pacing. J Korean Med Sci 2019; 34:e187. [PMID: 31293111 PMCID: PMC6624415 DOI: 10.3346/jkms.2019.34.e187] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 06/21/2019] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Although device-based optimization has been developed to overcome the limitations of conventional optimization methods in cardiac resynchronization therapy (CRT), few real-world data supports the results of clinical trials that showed the efficacy of automatic optimization algorithms. We investigated whether CRT using the adaptive CRT algorithm is comparable to non-adaptive biventricular (BiV) pacing optimized with electrocardiogram or echocardiography-based methods. METHODS Consecutive 155 CRT patients were categorized into 3 groups according to the optimization methods: non-adaptive BiV (n = 129), adaptive BiV (n = 11), and adaptive left ventricular (LV) pacing (n = 15) groups. Additionally, a subgroup of patients (n = 59) with normal PR interval and left bundle branch block (LBBB) was selected from the non-adaptive BiV group. The primary outcomes included cardiac death, heart transplantation, LV assist device implantation, and heart failure admission. Secondary outcomes were electromechanical reverse remodeling and responder rates at 6 months after CRT. RESULTS During a median 27.5-month follow-up, there was no significant difference in primary outcomes among the 3 groups. However, there was a trend toward better outcomes in the adaptive LV group compared to the other groups. In a more rigorous comparisons among the patients with normal PR interval and LBBB, similar patterns were still observed. CONCLUSION In our first Asian-Pacific real-world data, automated dynamic CRT optimization showed comparable efficacy to conventional methods regarding clinical outcomes and electromechanical remodeling.
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Affiliation(s)
- Hye Bin Gwag
- Division of Cardiology, Department of Internal Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Youngjun Park
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seong Soo Lee
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - June Soo Kim
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyoung Min Park
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young Keun On
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung Jung Park
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
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80
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Zhang Y, Xing Q, Zhang JH, Jiang WF, Qin M, Liu X. Long-Term Effect of Different Optimizing Methods for Cardiac Resynchronization Therapy in Patients with Heart Failure: A Randomized and Controlled Pilot Study. Cardiology 2019; 142:158-166. [PMID: 31189165 DOI: 10.1159/000499502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 03/10/2019] [Indexed: 11/19/2022]
Abstract
AIM During cardiac resynchronization therapy (CRT), optimized programming of the atrioventricular (AV) delay and ventricular-to-ventricular (VV) interval can lead to improved hemodynamics, symptomatic response, and left ventricular systolic function. Currently, however, there is no recommendation for the best optimization method. This study aimed to compare the long-term clinical outcomes of 4 different CRT optimization methods. METHODS One hundred and twenty-four consecutive CRT patients with severe heart failure and left bundle-branch block configuration were randomly assigned into four groups to undergo AV/VV delay optimization through echocardiogram (ECHO; n = 30), electrocardiogram (ECG; n = 32), QuickOpt algorithm (n = 28), and nominal AV/VV (n = 36) groups. Patients were followed up and underwent examinations, including New York Heart Association (NYHA) cardiac functional classification, 6-min walking distance (6MWD), and echocardiography, at 6, 12, 24, 36, and 48 months, respectively. The patients' survival and clinical outcomes were compared among the four groups. RESULTS Kaplan-Meier survival analyses showed that the median survival was the same in the 4 groups: ECHO, 43 months; ECG, 44 months; QuickOpt, 44 months, and nominal, 41 months. At the 6-month follow-up, the reduction in left ventricular end diastolic diameter (LVEDD) was significantly less in the nominal group (-1.91 ± 2.58 mm) than that in the other three groups (ECHO: -3.70 ± 2.78 mm, p = 0.012; ECG: -3.53 ± 3.14 mm, p = 0.020; QuickOpt: -3.46 ± 2.65 mm, p = 0.032); 6MWD was significantly shorter in the nominal group (87.88 ± 34.76 m) than that in the other three groups (ECHO: 120.63 ± 56.93 m, p = 0.006; ECG: 114.97 ± 54.95 m, p = 0.020; QuickOpt: 114.57 ± 35.41 m, p = 0.027). Left ventricular ejection fraction (LVEF) significantly increased in ECHO (7.23 ± 2.76%, p = 0.010), ECG (8.50 ± 3.17%, p < 0.001), and QuickOpt (8.39 ± 2.90%, p < 0.001) compared with the nominal group (5.35 ± 2.59%). There were no significant differences among the groups in the aforementioned parameters at 24, 36, and 48 months, respectively. CONCLUSION While LVEDD, LVEF, 6MWD, and NYHA were significantly improved in ECHO, ECG, and QuickOpt at 6 months, there were no significant improvements in any of the groups at 12, 24, and 48 months. These findings suggested that the long-term effect of the four CRT methods for heart failure was not significantly different.
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Affiliation(s)
- Yu Zhang
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China,
| | - Qiang Xing
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, China
| | - Jiang-Hua Zhang
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, China
| | - Wei-Feng Jiang
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Mu Qin
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xu Liu
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
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81
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Braun O, Vamos M, Erath JW, Hohnloser SH. How to maximize QRS narrowing. Herzschrittmacherther Elektrophysiol 2019; 30:229-232. [PMID: 30963248 DOI: 10.1007/s00399-019-0616-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 03/15/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) resulting in maximal QRS narrowing may be associated with improved outcomes. METHODS Various atrioventricular (AV) delay settings, including the new SyncAV™ algorithm (St. Jude Medical/Abbott, St. Paul, MN, USA), aimed at maximal QRS narrowing were tested in an 81-year old CRT recipient. RESULTS Maximal QRS narrowing from 160 to 100 ms was achieved with a manually programmed value of SyncAV™ -30 ms. At 2 months, the patient proved to be a CRT super-responder. CONCLUSION SyncAV™ algorithm is a new way for effective QRS narrowing with potentially improved outcomes.
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Affiliation(s)
- Olivia Braun
- University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | - Mate Vamos
- University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | - Julia W Erath
- University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | - Stefan H Hohnloser
- Department of Cardiology, Division of Clinical Electrophysiology, University Hospital Frankfurt, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
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82
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Lawin D, Stellbrink C. Change in indication for cardiac resynchronization therapy? Eur J Cardiothorac Surg 2019; 55:i11-i16. [PMID: 31106336 PMCID: PMC6526095 DOI: 10.1093/ejcts/ezy488] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 12/11/2018] [Accepted: 12/22/2018] [Indexed: 12/28/2022] Open
Abstract
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Cardiac resynchronization therapy (CRT) has rapidly evolved as a standard therapy for heart failure (HF) patients with ventricular conduction delay. Although in early trials, only patients with sinus rhythm and advanced stages of HF have been candidates for CRT, more recent data have expanded the indications to patients with mild-to-moderate HF and atrial fibrillation and patients in need of antibradycardia pacing with reduced left ventricular function. On the other hand, it is now well recognized that patients with a wide QRS (>150 ms) and left bundle branch block morphology benefit most from CRT, whereas in patients with a more narrow QRS complex (<130 ms) CRT may actually be harmful despite the evidence of ventricular dyssynchrony by echocardiography. There is no prospective randomized study showing mortality benefit from a combined CRT defibrillating device over a CRT pacer alone. This is especially important because recent data indicate that older patients with non-ischaemic cardiomyopathy may not benefit from the implantable cardioverter-defibrillator as much as previously thought. Thus, the decision for a CRT pacer versus CRT defibrillating should be tailored to the therapeutic goal (improvement in prognosis versus symptomatic relief), patient age, underlying cardiac disease and comorbidities. This article gives an overview over the current indications for CRT according to published literature and the European guidelines for pacing and HF.
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Affiliation(s)
- Dennis Lawin
- Klinik für Kardiologie und Internistische Intensivmedizin, Klinikum Bielefeld, Bielefeld, Germany
| | - Christoph Stellbrink
- Klinik für Kardiologie und Internistische Intensivmedizin, Klinikum Bielefeld, Bielefeld, Germany
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83
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Kloosterman M, Maass AH. Sex differences in optimal atrioventricular delay in patients receiving cardiac resynchronization therapy. Clin Res Cardiol 2019; 109:124-127. [PMID: 31115644 DOI: 10.1007/s00392-019-01492-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 05/09/2019] [Indexed: 11/26/2022]
Affiliation(s)
- Mariëlle Kloosterman
- Department of Cardiology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Alexander H Maass
- Department of Cardiology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
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84
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Abstract
PURPOSE OF REVIEW Cardiac resynchronization therapy (CRT) is an effective treatment option for therapy-refractory mild to severe heart failure (HF) patients with reduced ejection fraction and left ventricular (LV) conduction delay. Multiple clinical trials have shown that CRT improves cardiac function and overall quality of life, as well as reduces HF hospitalizations, health care costs, and mortality. RECENT FINDINGS Despite its effectiveness, the "non-response" rate to CRT is around 30%, remaining a major challenge that faces electrophysiologists and researchers. It has been recently suggested that the etiology of CRT non-response is multifactorial, and it requires a multifaceted approach to address it. In this focused review, we will summarize the definitions of CRT non-response, identify key factors for CRT non-response, and offer a simplified framework to address CRT non-response with the main goal of improving CRT outcomes.
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Affiliation(s)
- Syed Yaseen Naqvi
- Heart Research Follow-Up Program, Cardiology Division, University of Rochester Medical Center, 265 Crittenden Blvd., Box 653, Rochester, NY, 14642, USA
| | - Anas Jawaid
- Heart Research Follow-Up Program, Cardiology Division, University of Rochester Medical Center, 265 Crittenden Blvd., Box 653, Rochester, NY, 14642, USA
| | - Ilan Goldenberg
- Heart Research Follow-Up Program, Cardiology Division, University of Rochester Medical Center, 265 Crittenden Blvd., Box 653, Rochester, NY, 14642, USA
| | - Valentina Kutyifa
- Heart Research Follow-Up Program, Cardiology Division, University of Rochester Medical Center, 265 Crittenden Blvd., Box 653, Rochester, NY, 14642, USA.
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85
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Pujol-López M, San Antonio R, Mont L, Trucco E, Tolosana JM, Arbelo E, Guasch E, Heist EK, Singh JP. Electrocardiographic optimization techniques in resynchronization therapy. Europace 2019; 21:1286-1296. [DOI: 10.1093/europace/euz126] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 04/05/2019] [Indexed: 12/22/2022] Open
Abstract
Abstract
Cardiac resynchronization therapy (CRT) is a cornerstone of therapy for patients with heart failure, reduced left ventricular (LV) ejection fraction, and a wide QRS complex. However, not all patients respond to CRT: 30% of CRT implanted patients are currently considered clinical non-responders and up to 40% do not achieve LV reverse remodelling. In order to achieve the best CRT response, appropriate patient selection, device implantation, and programming are important factors. Optimization of CRT pacing intervals may improve results, increasing the number of responders, and the magnitude of the response. Echocardiography is considered the reference method for atrioventricular and interventricular (VV) intervals optimization but it is time-consuming, complex and it has a large interobserver and intraobserver variability. Previous studies have linked QRS shortening to clinical response, echocardiographic improvement and favourable prognosis. In this review, we describe the electrocardiographic optimization methods available: 12-lead electrocardiogram; fusion-optimized intervals (FOI); intracardiac electrogram-based algorithms; and electrocardiographic imaging. Fusion-optimized intervals is an electrocardiographic method of optimizing CRT based on QRS duration that combines fusion with intrinsic conduction. The FOI method is feasible and fast, further reduces QRS duration, can be performed during implant, improves acute haemodynamic response, and achieves greater LV remodelling compared with nominal programming of CRT.
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Affiliation(s)
- Margarida Pujol-López
- Cardiology Department, Institut Clínic Cardiovascular (ICCV), Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Rodolfo San Antonio
- Cardiology Department, Institut Clínic Cardiovascular (ICCV), Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Lluís Mont
- Cardiology Department, Institut Clínic Cardiovascular (ICCV), Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain
| | - Emilce Trucco
- Department of Cardiology, Hospital Universitari Doctor Josep Trueta, Girona, Catalonia, Spain
| | - José María Tolosana
- Cardiology Department, Institut Clínic Cardiovascular (ICCV), Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain
| | - Elena Arbelo
- Cardiology Department, Institut Clínic Cardiovascular (ICCV), Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain
| | - Eduard Guasch
- Cardiology Department, Institut Clínic Cardiovascular (ICCV), Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain
| | - Edwin Kevin Heist
- Cardiology Division, Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jagmeet P Singh
- Cardiology Division, Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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86
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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: 2.0] [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.
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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
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87
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Cazeau S, Toulemont M, Ritter P, Reygner J. Statistical ranking of electromechanical dyssynchrony parameters for CRT. Open Heart 2019; 6:e000933. [PMID: 30740229 PMCID: PMC6347881 DOI: 10.1136/openhrt-2018-000933] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 11/19/2018] [Accepted: 12/01/2018] [Indexed: 11/04/2022] Open
Abstract
Objective Mechanical evaluation of dyssynchrony by echocardiography has not replaced ECG in routine cardiac resynchronisation therapy (CRT) evaluation because of its complexity and lack of reproducibility. The objective of this study was to evaluate the potential correlations between electromechanical parameters (atrioventricular, interventricular and intraventricular from the dyssynchrony model presented in 2000), their ability to describe dyssynchrony and their potential use in resynchrony. Methods 455 sets of the 18 parameters of the model obtained in 91 patients submitted to various pacing configurations were evaluated two by two using a Pearson correlation test and then by groups according to their ability to describe dyssynchrony, using the Column selection method of machine learning. Results The best parameter is duration of septal contraction, which alone describes 25% of dyssynchrony. The best groups of 3, 4 and ≥8 variables describe 59%, 73% and almost 100% of dyssynchrony, respectively. Left pre-ejection interval is highly and significantly correlated to a maximum of other variables, and its decrease is associated with the favourable evolution of all other correlated parameters. Increase in filling duration and decrease in duration of septum to lateral wall contraction difference are not associated with the favourable evolution of other parameters. Conclusions No single electromechanical parameter alone can fully describe dyssynchrony. The 18-parameter model can be simplified, but still requires at least 4-8 parameters. Decrease in left pre-ejection interval favourably drives resynchrony in a maximum of other parameters. Increase in filling duration and decrease in septum-lateral wall difference do not appear to be good CRT targets.
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Affiliation(s)
- Serge Cazeau
- Service de Cardiologie, Hôpital Saint-Joseph, Paris, France.,Chief Medical Officer, Microport CRM, Clamart, France
| | | | - Philippe Ritter
- Cardiology Department, University Hospital of Bordeaux, Pessac, France
| | - Julien Reygner
- Center for Training and Research in MathematIcs and Scientific Computing (CERMICS), Université Paris-Est, ENPC, Marne-la-Vallée, France
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88
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Boe E, Smiseth OA, Storsten P, Andersen OS, Aalen J, Eriksen M, Krogh MR, Kongsgaard E, Remme EW, Skulstad H. Left ventricular end-systolic volume is a more sensitive marker of acute response to cardiac resynchronization therapy than contractility indices: insights from an experimental study. Europace 2019; 21:347-355. [PMID: 30418572 DOI: 10.1093/europace/euy221] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 09/17/2018] [Indexed: 02/07/2023] Open
Abstract
Aims There are conflicting data and no consensus on how to measure acute response to cardiac resynchronization therapy (CRT). This study investigates, which contractility indices are best markers of acute CRT response. Methods and results In eight anaesthetized dogs with left bundle branch block, we measured left ventricular (LV) pressure by micromanometer and end-diastolic volume (EDV) and end-systolic volume (ESV) by sonomicrometry. Systolic function was measured as LV ejection fraction (EF), peak rate of LV pressure rise (LV dP/dtmax) and as a gold standard of contractility, LV end-systolic elastance (Ees), and volume axis intercept (V0) calculated from end-systolic pressure-volume relations (ESPVR). Responses to CRT were compared with inotropic stimulation by dobutamine. Both CRT and dobutamine caused reduction in ESV (P < 0.01) and increase in LV dP/dtmax (P < 0.05). Both interventions shifted the ESPVR upwards indicating increased contractility, but CRT which reduced V0 (P < 0.01), caused no change in Ees. Dobutamine markedly increased Ees, which is the typical response to inotropic stimulation. Preload (EDV) was decreased (P < 0.01) by CRT, and there was no change in EF. When adjusting for the reduction in preload, CRT increased EF (P = 0.02) and caused a more marked increase in LV dP/dtmax (P < 0.01). Conclusion Increased contractility by CRT could not be identified by Ees, which is a widely used reference method for contractility. Furthermore, reduction in preload by CRT attenuated improvement in contractility indices such as EF and LV dP/dtmax. These results suggest that changes in LV volume may be more sensitive markers of acute CRT response than conventional contractility indices.
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Affiliation(s)
- Espen Boe
- Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Otto A Smiseth
- Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Cardiology, Oslo University Hospital, Rikshospitalet, 0027 Oslo, Norway
| | - Petter Storsten
- Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Oyvind S Andersen
- Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Cardiology, Oslo University Hospital, Rikshospitalet, 0027 Oslo, Norway
| | - John Aalen
- Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Morten Eriksen
- Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Magnus R Krogh
- Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Erik Kongsgaard
- Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Department of Cardiology, Oslo University Hospital, Rikshospitalet, 0027 Oslo, Norway
| | - Espen W Remme
- Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Department of Cardiology, Oslo University Hospital, Rikshospitalet, 0027 Oslo, Norway
| | - Helge Skulstad
- Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Cardiology, Oslo University Hospital, Rikshospitalet, 0027 Oslo, Norway
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89
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Cardiac resynchronisation therapy optimisation of interventricular delay by the systolic dyssynchrony index: A comparative, randomised, 12-month follow-up study. Hellenic J Cardiol 2019; 60:16-25. [DOI: 10.1016/j.hjc.2017.11.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 10/29/2017] [Accepted: 11/01/2017] [Indexed: 11/23/2022] Open
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90
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Sieniewicz BJ, Gould J, Porter B, Sidhu BS, Teall T, Webb J, Carr-White G, Rinaldi CA. Understanding non-response to cardiac resynchronisation therapy: common problems and potential solutions. Heart Fail Rev 2019; 24:41-54. [PMID: 30143910 PMCID: PMC6313376 DOI: 10.1007/s10741-018-9734-8] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Heart failure is a complex clinical syndrome associated with a significant morbidity and mortality burden. Reductions in left ventricular (LV) function trigger adaptive mechanisms, leading to structural changes within the LV and the potential development of dyssynchronous ventricular activation. This is the substrate targeted during cardiac resynchronisation therapy (CRT); however, around 30-50% of patients do not experience benefit from this treatment. Non-response occurs as a result of pre-implant, peri-implant and post implant factors but the technical constraints of traditional, transvenous epicardial CRT mean they can be challenging to overcome. In an effort to improve response, novel alternative methods of CRT delivery have been developed and of these endocardial pacing, where the LV is stimulated from inside the LV cavity, appears the most promising.
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Affiliation(s)
- Benjamin J Sieniewicz
- Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, North Wing, St Thomas' Hospital, London, SE1 7EH, UK.
- Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.
| | - Justin Gould
- Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, North Wing, St Thomas' Hospital, London, SE1 7EH, UK
- Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK
| | - Bradley Porter
- Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, North Wing, St Thomas' Hospital, London, SE1 7EH, UK
- Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK
| | - Baldeep S Sidhu
- Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, North Wing, St Thomas' Hospital, London, SE1 7EH, UK
- Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK
| | - Thomas Teall
- Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK
| | - Jessica Webb
- Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, North Wing, St Thomas' Hospital, London, SE1 7EH, UK
- Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK
| | - Gerarld Carr-White
- Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, North Wing, St Thomas' Hospital, London, SE1 7EH, UK
- Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK
| | - Christopher A Rinaldi
- Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, North Wing, St Thomas' Hospital, London, SE1 7EH, UK
- Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK
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91
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Spinale FG, Meyer TE, Stolen CM, Van Eyk JE, Gold MR, Mittal S, DeSantis SM, Wold N, Beshai JF, Stein KM, Ellenbogen KA. Development of a biomarker panel to predict cardiac resynchronization therapy response: Results from the SMART-AV trial. Heart Rhythm 2018; 16:743-753. [PMID: 30476543 DOI: 10.1016/j.hrthm.2018.11.026] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Indexed: 01/18/2023]
Abstract
BACKGROUND Predicting a favorable cardiac resynchronization therapy (CRT) response holds great clinical importance. OBJECTIVE The purpose of this study was to examine proteins from broad biological pathways and develop a prediction tool for response to CRT. METHODS Plasma was collected from patients before CRT (SMART-AV [SmartDelay Determined AV Optimization: A Comparison to Other AV Delay Methods Used in Cardiac Resynchronization Therapy] trial). A CRT response was prespecified as a ≥15-mL reduction in left ventricular end-systolic volume at 6 months, which resulted in a binary CRT response (responders 52%, nonresponders 48%; n = 758). RESULTS Candidate proteins (n = 74) were evaluated from the inflammatory, signaling, and structural domains, which yielded 12 candidate biomarkers, but only a subset of these demonstrated predictive value for CRT response: soluble suppressor of tumorgenicity-2, soluble tumor necrosis factor receptor-II, matrix metalloproteinase-2, and C-reactive protein. These biomarkers were used in a composite categorical scoring algorithm (Biomarker CRT Score), which identified patients with a high/low probability of a response to CRT (P <.001) when adjusted for a number of clinical covariates. For example, a Biomarker CRT Score of 0 yielded 5 times higher odds of a response to CRT compared to a Biomarker CRT Score of 4 (P <.001). The Biomarker CRT Score demonstrated additive predictive value when considered against a composite of clinical variables. CONCLUSION These unique findings demonstrate that developing a biomarker panel for predicting individual response to CRT is feasible and holds potential for point-of-care testing and integration into evaluation algorithms for patients presenting for CRT.
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Affiliation(s)
- Francis G Spinale
- Cardiovascular Translational Research Center, University of South Carolina School of Medicine and Dorn VA Medical Center, Columbia, South Carolina; Medical University of South Carolina, Charleston, South Carolina.
| | | | | | - Jennifer E Van Eyk
- Departments of Medicine, Biol. Chem and Biomed. Eng, Johns Hopkins University, Baltimore, Maryland
| | - Michael R Gold
- Medical University of South Carolina, Charleston, South Carolina
| | - Suneet Mittal
- The Valley Hospital Health System, Ridgewood, New Jersey
| | - Stacia M DeSantis
- Cardiovascular Translational Research Center, University of South Carolina School of Medicine and Dorn VA Medical Center, Columbia, South Carolina
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92
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Andre C, Piver E, Perault R, Bisson A, Pucheux J, Vermes E, Pierre B, Fauchier L, Babuty D, Clementy N. Galectin-3 predicts response and outcomes after cardiac resynchronization therapy. J Transl Med 2018; 16:299. [PMID: 30390680 PMCID: PMC6215623 DOI: 10.1186/s12967-018-1675-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 10/27/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) reduces symptoms, morbidity and mortality in chronic heart failure patients with wide QRS complexes. However, approximately one third of CRT patients are non-responders. Myocardial fibrosis is known to be associated with absence of response. We sought to see whether galectin-3, a promising biomarker involved in fibrosis processes, could predict response and outcomes after CRT. METHODS Consecutive patients eligible for implantation of a CRT device with a typical left bundle branch block ≥ 120 ms were prospectively included. Serum Gal-3 level, Selvester ECG scoring, and cardiac magnetic resonance with analysis of late gadolinium enhancement (LGE) were ascertained. Response to CRT was defined by a composite endpoint at 6 months: no death, nor hospitalization for major cardiovascular event, and a significant decrease in left ventricular end-systolic volume of 15% or more. RESULTS Sixty-one patients were included (age 61 ± 5 years, ejection fraction 27 ± 5%), 59% with non-ischemic cardiomyopathy. At 6 months, 49 patients (80%) were considered responders. Responders had a lower percentage of LGE (8 ± 13% vs 22 ± 16%, p = 0.006), and a trend towards lower rates of galectin-3 (16 ± 6 ng/mL vs 19 ± 8 ng/mL, p = 0.13). LGE ≥ 14% and Gal-3 ≥ 22 ng/mL independently predicted response to CRT (OR = 0.17 [0.03-0.62], p = 0.007, and OR = 0.11 [0.02-0.04], p < 0.001, respectively). At 48 months of follow-up, 12 patients had been hospitalized for a major cardiovascular event or had died. Galectin-3 level predicted long-term outcomes (HR = 3.31 [1.00-11.34], p = 0.05). CONCLUSIONS Gal-3 serum level predicts the response to CRT at 6 months and long-term outcomes in chronic heart failure patients.
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Affiliation(s)
- Clémentine Andre
- Cardiology Department, Trousseau Hospital, University of Tours, 37044 Tours, France
| | - Eric Piver
- Biochemistry Department, Trousseau Hospital, University of Tours, Tours, France
| | - Romain Perault
- Cardiology Department, Trousseau Hospital, University of Tours, 37044 Tours, France
| | - Arnaud Bisson
- Cardiology Department, Trousseau Hospital, University of Tours, 37044 Tours, France
| | - Julien Pucheux
- Imaging Department, Trousseau Hospital, University of Tours, Tours, France
| | - Emmanuelle Vermes
- Imaging Department, Trousseau Hospital, University of Tours, Tours, France
| | - Bertrand Pierre
- Cardiology Department, Trousseau Hospital, University of Tours, 37044 Tours, France
| | - Laurent Fauchier
- Cardiology Department, Trousseau Hospital, University of Tours, 37044 Tours, France
| | - Dominique Babuty
- Cardiology Department, Trousseau Hospital, University of Tours, 37044 Tours, France
| | - Nicolas Clementy
- Cardiology Department, Trousseau Hospital, University of Tours, 37044 Tours, France
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93
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Abstract
Despite improved understanding of heart failure (HF) and advances in medical treatments, its prevalence continues to rise, and the role of implantable devices continues to evolve. While cardiac resynchronization therapy (CRT) is an accepted form of treatment for many suffering from HF, there is an ever-evolving body of evidence examining novel indications, optimization of lead placement and device programming, with several competing technologies now also on the horizon. This review aims to take a clinical perspective on the major trials, current indications, controversies and emerging aspects of CRT in the treatment of HF.
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Affiliation(s)
| | - Aleksandr Voskoboinik
- Alfred Heart Centre, Alfred Hospital, Melbourne, Australia - .,Baker Heart and Diabetes Research Institute, Melbourne, Australia.,Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia
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94
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André P, Plourde B, Molin F, Sarrazin JF, Champagne J, Philippon F. T-wave oversensing due to left ventricle–only pacing in cardiac resynchronization therapy optimization algorithm. HeartRhythm Case Rep 2018; 4:401-404. [PMID: 30228964 PMCID: PMC6140408 DOI: 10.1016/j.hrcr.2018.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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95
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Emerek K, Friedman DJ, Sørensen PL, Hansen SM, Larsen JM, Risum N, Thøgersen AM, Graff C, Kisslo J, Søgaard P, Atwater BD. Vectorcardiographic QRS area is associated with long-term outcome after cardiac resynchronization therapy. Heart Rhythm 2018; 16:213-219. [PMID: 30170227 DOI: 10.1016/j.hrthm.2018.08.028] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Indexed: 11/18/2022]
Abstract
BACKGROUND Recent studies have suggested that vectorcardiographic measures predict left ventricular (LV) reverse remodeling and clinical outcome in patients receiving cardiac resynchronization therapy (CRT). OBJECTIVES The objectives of this study were to compare predictive abilities of different vectorcardiographic measures (QRS area and sum absolute QRS-T integral) and transformation methods (Kors and inverse Dower) and to assess the independent association between the best predictor and outcomes in CRT recipients. METHODS This retrospective study included CRT recipients with a digital baseline electrocardiogram, QRS duration ≥120 ms, and ejection fraction ≤35%. The end point was a composite of heart transplantation, LV assist device implantation, or all-cause death. Analyses were performed for the overall cohort and for a prespecified subgroup of patients with left bundle branch block (LBBB). RESULTS Of 705 included patients with a mean age of 66.6 ± 11.5 years, 492 (70%) were men, 374 (53%) had ischemic heart disease, and 465 (66%) had LBBB. QRS area from vectorcardiograms derived via the Kors transformation demonstrated the best predictive value. In multivariable Cox regression, patients with a smaller QRS area (≤ 95 μVs) had an increased hazard in the overall cohort (adjusted hazard ratio 1.65; 95% CI 1.25-2.18 P < .001) and in the LBBB subgroup (adjusted hazard ratio 1.95; 95% CI 1.38-2.76 P < .001). QRS area was associated with outcome in patients with QRS duration <150 ms (unadjusted hazard ratio 3.85; 95% CI 2.02-7.37 P < .001) and in patients with QRS duration ≥150 ms (unadjusted hazard ratio 1.76; 95% CI 1.32-2.34 P < .001). CONCLUSION Vectorcardiographic QRS area is associated with survival free from heart transplantation and LV assist device implantation in CRT recipients.
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Affiliation(s)
- Kasper Emerek
- Department of Medicine, Division of Cardiology, Duke University Hospital, Durham, North Carolina; Department of Clinical Medicine, Aalborg University Hospital, Aalborg, Denmark.
| | - Daniel J Friedman
- Department of Medicine, Division of Cardiology, Duke University Hospital, Durham, North Carolina
| | - Peter Lyngø Sørensen
- Department of Health Science and Technology, Aalborg University Hospital, Aalborg, Denmark
| | - Steen Møller Hansen
- Unit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark
| | | | - Niels Risum
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | - Claus Graff
- Department of Health Science and Technology, Aalborg University Hospital, Aalborg, Denmark
| | - Joseph Kisslo
- Department of Medicine, Division of Cardiology, Duke University Hospital, Durham, North Carolina
| | - Peter Søgaard
- Department of Clinical Medicine, Aalborg University Hospital, Aalborg, Denmark; Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Brett D Atwater
- Department of Medicine, Division of Cardiology, Duke University Hospital, Durham, North Carolina
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96
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Vondrák J, Marek D, Večeřa J, Benešová K, Vojtíšek P. Cardiac resynchronization therapy - A comparison of VV delay optimization by 3D echocardiography using systolic dyssynchrony index and QRS width assessment at 6 months after CRT implantation. COR ET VASA 2018. [DOI: 10.1016/j.crvasa.2017.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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97
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Gold MR, Yu Y, Singh JP, Birgersdotter-Green U, Stein KM, Wold N, Meyer TE, Ellenbogen KA. Effect of Interventricular Electrical Delay on Atrioventricular Optimization for Cardiac Resynchronization Therapy. Circ Arrhythm Electrophysiol 2018; 11:e006055. [PMID: 30354310 PMCID: PMC6110372 DOI: 10.1161/circep.117.006055] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 06/01/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Routine atrioventricular optimization (AVO) has not been shown to improve outcomes with cardiac resynchronization therapy (CRT). However, more recently subgroup analyses of multicenter CRT trials have identified electrocardiographic or lead positions associated with benefit from AVO. Therefore, the purpose of this analysis was to evaluate whether interventricular electrical delay modifies the impact of AVO on reverse remodeling with CRT. METHODS This substudy of the SMART-AV trial (SMARTDELAY Determined AV Optimization) included 275 subjects who were randomized to either an electrogram-based AVO (SmartDelay) or nominal atrioventricular delay (120 ms). Interventricular delay was defined as the time between the peaks of the right ventricular (RV) and left ventricular (LV) electrograms (RV-LV duration). CRT response was defined prospectively as a >15% reduction in LV end-systolic volume from implant to 6 months. RESULTS The cohort was 68% men, with a mean age of 65±11 years and LV ejection fraction of 28±8%. Longer RV-LV durations were significantly associated with CRT response ( P<0.01) for the entire cohort. Moreover, the benefit of AVO increased as RV-LV duration prolonged. At the longest quartile, there was a 4.26× greater odds of a remodeling response compared with nominal atrioventricular delays ( P=0.010). CONCLUSIONS Baseline interventricular delay predicted CRT response. At long RV-LV durations, AVO can increase the likelihood of reverse remodeling with CRT. AVO and LV lead location optimized to maximize interventricular delay may work synergistically to increase CRT response. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov . Unique identifier: NCT00874445.
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Affiliation(s)
- Michael R. Gold
- Department of Medicine, Medical University of South Carolina, Charleston (M.R.G.)
| | - Yinghong Yu
- Department of Research, Boston Scientific, St. Paul (Y.Y.)
| | - Jagmeet P. Singh
- Department of Medicine, Massachusetts General Hospital, Boston (J.P.S.)
| | | | - Kenneth M. Stein
- Department of Clinical Sciences, Boston Scientific, St. Paul (K.M.S., N.W., T.E.M.)
| | - Nicholas Wold
- Department of Clinical Sciences, Boston Scientific, St. Paul (K.M.S., N.W., T.E.M.)
| | - Timothy E. Meyer
- Department of Clinical Sciences, Boston Scientific, St. Paul (K.M.S., N.W., T.E.M.)
| | - Kenneth A. Ellenbogen
- Department of Medicine, Virginia Commonwealth University Medical Center, Richmond (K.A.E.)
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98
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Sieniewicz BJ, Gould J, Porter B, Sidhu BS, Behar JM, Claridge S, Niederer S, Rinaldi CA. Optimal site selection and image fusion guidance technology to facilitate cardiac resynchronization therapy. Expert Rev Med Devices 2018; 15:555-570. [PMID: 30019954 PMCID: PMC6178093 DOI: 10.1080/17434440.2018.1502084] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 07/12/2018] [Indexed: 12/30/2022]
Abstract
INTRODUCTION Cardiac resynchronization therapy (CRT) has emerged as one of the few effective treatments for heart failure. However, up to 50% of patients derive no benefit. Suboptimal left ventricle (LV) lead position is a potential cause of poor outcomes while targeted lead deployment has been associated with enhanced response rates. Image-fusion guidance systems represent a novel approach to CRT delivery, allowing physicians to both accurately track and target a specific location during LV lead deployment. AREAS COVERED This review will provide a comprehensive evaluation of how to define the optimal pacing site. We will evaluate the evidence for delivering targeted LV stimulation at sites displaying favorable viability or advantageous mechanical or electrical properties. Finally, we will evaluate several emerging image-fusion guidance systems which aim to facilitate optimal site selection during CRT. EXPERT COMMENTARY Targeted LV lead deployment is associated with reductions in morbidity and mortality. Assessment of tissue characterization and electrical latency are critical and can be achieved in a number of ways. Ultimately, the constraints of coronary sinus anatomy have forced the exploration of novel means of delivering CRT including endocardial pacing which hold promise for the future of CRT delivery.
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Affiliation(s)
- Benjamin J. Sieniewicz
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom
- Cardiology Department, Guys and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Justin Gould
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom
- Cardiology Department, Guys and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Bradley Porter
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom
- Cardiology Department, Guys and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Baldeep S Sidhu
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom
- Cardiology Department, Guys and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Jonathan M Behar
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom
- Cardiology Department, Guys and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Simon Claridge
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom
- Cardiology Department, Guys and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Steve Niederer
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom
| | - Christopher A. Rinaldi
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom
- Cardiology Department, Guys and St Thomas’ NHS Foundation Trust, London, United Kingdom
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99
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Gold MR, Auricchio A, Leclercq C, Lowy J, Rials SJ, Shoda M, Tomassoni G, Yong P, Wold N, Ellenbogen KA. The rationale and design of the SMART CRT trial. PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2018; 41:1212-1216. [PMID: 30058174 DOI: 10.1111/pace.13459] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Revised: 06/19/2018] [Accepted: 07/09/2018] [Indexed: 11/29/2022]
Abstract
AIMS The SMART CRT study will assess the efficacy of an atrioventricular optimization algorithm to improve reverse remodeling among patients undergoing cardiac resynchronization therapy (CRT) in the presence of interventricular electrical delay. METHODS AND RESULTS The SMART CRT study is a global, multicenter, prospective, randomized study of patients undergoing CRT implantation. The primary endpoint of this trial is response rate to CRT, defined as decrease in left ventricular end-systolic volume (LVESV) ≥15% at 6 months compared to preimplant baseline. Additional prespecified analyses are: (1) clinical composite endpoint combining all-cause mortality, heart failure events, New York Heart Association class, and Quality of Life (using a patient global assessment instrument); (2) the individual components of the clinical composite endpoint; (3) 6-minute walk distance; (4) Kansas City Cardiomyopathy Questionnaire; (5) LVESV as a continuous variable; and (6) absolute left-ventricular ejection fraction. Subjects with intraventricular delay ≥ 70 ms measured between the right ventricular and left ventricular pacing leads will be randomized in a 1:1 ratio to have either an AV Delay and pacing chamber determined by SmartDelay™ or a Fixed AV Delay of 120 ms with biventricular pacing. Enrollment of an estimated 726 of subjects from up to 100 centers worldwide is planned to achieve 436 randomized subjects and 370 complete data sets required to power the primary endpoint. CONCLUSIONS This trial will provide important data regarding the importance of AV Delay programming in patients with prolonged interventricular delay at the pacing sites.
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Affiliation(s)
- Michael R Gold
- Department of Medicine, Medical University of South Carolina, SC, USA
| | - Angelo Auricchio
- Director Clinical Electrophysiology Program, Division of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | | | - Jonathan Lowy
- Medical Director of Cardiac Research, PeaceHealth Southwest Medical Center, Vancouver, WA, USA
| | - Seth J Rials
- Grant Medical Center and the OhioHealth Research Institute, Columbus, OH, USA
| | - Morio Shoda
- Tokyo Medical University Hospital, Tokyo, Japan
| | | | - Patrick Yong
- Clinical Science, Boston Scientific Corp., St. Paul, MN, USA
| | - Nicholas Wold
- Clinical Science, Boston Scientific Corp., St. Paul, MN, USA
| | - Kenneth A Ellenbogen
- Martha and Harold Kimmerling Professor, Department of Medicine, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
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100
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van Everdingen WM, Zweerink A, Salden OAE, Cramer MJ, Doevendans PA, van Rossum AC, Prinzen FW, Vernooy K, Allaart CP, Meine M. Atrioventricular optimization in cardiac resynchronization therapy with quadripolar leads: should we optimize every pacing configuration including multi-point pacing? Europace 2018; 21:e11-e19. [DOI: 10.1093/europace/euy138] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 07/14/2018] [Indexed: 11/14/2022] Open
Affiliation(s)
- Wouter M van Everdingen
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, CX Utrecht, The Netherlands
| | - Alwin Zweerink
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Center, De Boelelaan 1117, HV Amsterdam, The Netherlands
| | - Odette A E Salden
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, CX Utrecht, The Netherlands
| | - Maarten J Cramer
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, CX Utrecht, The Netherlands
| | - Pieter A Doevendans
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, CX Utrecht, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Center, De Boelelaan 1117, HV Amsterdam, The Netherlands
| | - Frits W Prinzen
- Department of Physiology, CARIM, Maastricht University, P. Debyelaan 25, HX Maastricht, The Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Center, Universiteitssingel 50, ER Maastricht, The Netherlands
| | - Cornelis P Allaart
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Center, De Boelelaan 1117, HV Amsterdam, The Netherlands
| | - Mathias Meine
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, CX Utrecht, The Netherlands
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