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Gold MR, Zhou J, Higuera L, Lanctin DP, Chung ES. Association Between use of an Adaptive Cardiac Resynchronization Therapy Algorithm and Healthcare Utilization and Cost. J Card Fail 2024:S1071-9164(24)00225-2. [PMID: 38977056 DOI: 10.1016/j.cardfail.2024.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 04/20/2024] [Accepted: 06/04/2024] [Indexed: 07/10/2024]
Abstract
OBJECTIVES To assess the association between use of adaptive pacing on clinical and economic outcomes of CRT recipients in a real-world analysis. BACKGROUND The AdaptivCRTTM algorithm was shown in prior subgroup analyses of prospective trials to achieve clinical benefits, but a large prospective trial showed nonsignificant changes in the endpoint of mortality or heart failure hospitalizations. METHODS CRT-implanted patients from the Optum Clinformatics® database with ≥90 days of follow-up were included. Remote monitoring data was used to classify patients based on CRT setting - adaptive biventricular and left ventricular pacing (aCRT) vs. standard biventricular pacing (Standard CRT). Inverse probability of treatment weighting was used to adjust for baseline differences between groups. Mortality, 30-day readmissions, healthcare utilization, and payer and patient costs were evaluated post-implantation. RESULTS This study included 2,412 aCRT and 1,638 Standard CRT patients (mean follow-up: 2.4 ± 1.4 years), with balanced baseline characteristics after adjustment. The aCRT group was associated with lower all-cause mortality (adjusted hazard ratio = 0.88 [95% confidence interval (CI):0.80, 0.96]), fewer all-cause 30-day readmissions (adjusted incidence rate ratio = 0.87 [CI:0.81, 0.94]), and fewer all-cause and HF-related inpatient, outpatient, and emergency department (ED) visits. The aCRT cohort was also associated with lower all-cause outpatient payer-paid amounts and lower all-cause and HF-related inpatient and ED patient-paid amounts. CONCLUSIONS In this retrospective analysis of a large real-world cohort, use of an adaptive CRT algorithm was associated with lower mortality, reduced healthcare resource utilization, and lower payer and patient costs. LAY SUMMARY While cardiac resynchronization therapy (CRT) improves quality of life and clinical outcomes for certain heart failure patients, some patients do not respond to this therapy. Adaptive CRT algorithms (aCRT), such as AdaptivCRTTM, have been developed with the goal of improving effectiveness of CRT, and consequently, clinical and economic outcomes. This research study used a large database of administrative claims data - which contains information on patient demographics, diagnoses, healthcare services received, mortality, and cost data - to compare clinical and economic outcomes between CRT patients with the aCRT algorithm turned on (aCRT group) and CRT patients with the aCRT algorithm turned off (standard CRT group). Statistical methods were used to adjust for baseline differences between the aCRT group and standard CRT groups. Ultimately, the aCRT group was found to have a lower risk of all-cause mortality, fewer all-cause 30-day readmissions, fewer hospital visits (including inpatient, outpatient, and emergency department visits), and lower costs to payers and patients for specific types of costs.
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Affiliation(s)
- Michael R Gold
- Medical University of South Carolina, Charleston, SC, USA.
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2
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Kreimer F, Gotzmann M. Pacemaker-induced atrial fibrillation reconsidered-associations with different pacing sites and prevention approaches. Front Cardiovasc Med 2024; 11:1412283. [PMID: 38957332 PMCID: PMC11217490 DOI: 10.3389/fcvm.2024.1412283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 06/05/2024] [Indexed: 07/04/2024] Open
Abstract
The incidence of atrial fibrillation (AF) is significantly higher in patients with pacemakers than in the general population, which could be due to patient characteristics and the diagnostic tool of the pacemaker in detecting atrial high-rate episodes and subclinical AF, but also to the pacemaker itself providing AF-promoting conditions. It is well known that high ventricular pacemaker burden increases the likelihood of AF occurrence. However, the sites of atrial and ventricular pacing may also influence the risk for AF. The conventional sites for atrial and ventricular pacing are in the right atrial appendage and in the right ventricular apex. However, growing evidence suggests that alternative pacing sites may be superior for the prevention of AF. Bachmann bundle pacing, for example, promotes interatrial excitation conduction, resulting in atrial synchronicity and a shorter total atrial activation time, which may be preventive for the occurrence of AF. Moreover, in recent years, new ventricular pacing sites have come into focus with His bundle and left bundle branch pacing. In addition to the hemodynamic and electrophysiological cardiac benefits, these new options may also offer benefits in the prevention of AF. This review provides an overview of pacing-induced AF mechanisms and the association with different pacing sites, as well as approaches for prevention of pacing-induced AF, highlighting different sites and modes of atrial pacing and the newer sites of ventricular pacing.
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Affiliation(s)
- Fabienne Kreimer
- Department of Cardiology and Rhythmology, St Josef Hospital Bochum, University Hospital of the Ruhr University Bochum, Bochum, Germany
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3
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Rosano GMC, Stolfo D, Anderson L, Abdelhamid M, Adamo M, Bauersachs J, Bayes-Genis A, Böhm M, Chioncel O, Filippatos G, Hill L, Lainscak M, Lambrinou E, Maas AHEM, Massouh AR, Moura B, Petrie MC, Rakisheva A, Ray R, Savarese G, Skouri H, Van Linthout S, Vitale C, Volterrani M, Metra M, Coats AJS. Differences in presentation, diagnosis and management of heart failure in women. A scientific statement of the Heart Failure Association of the ESC. Eur J Heart Fail 2024. [PMID: 38783694 DOI: 10.1002/ejhf.3284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/11/2024] [Accepted: 04/29/2024] [Indexed: 05/25/2024] Open
Abstract
Despite the progress in the care of individuals with heart failure (HF), important sex disparities in knowledge and management remain, covering all the aspects of the syndrome, from aetiology and pathophysiology to treatment. Important distinctions in phenotypic presentation are widely known, but the mechanisms behind these differences are only partially defined. The impact of sex-specific conditions in the predisposition to HF has gained progressive interest in the HF community. Under-recruitment of women in large randomized clinical trials has continued in the more recent studies despite epidemiological data no longer reporting any substantial difference in the lifetime risk and prognosis between sexes. Target dose of medications and criteria for device eligibility are derived from studies with a large predominance of men, whereas specific information in women is lacking. The present scientific statement encompasses the whole scenario of available evidence on sex-disparities in HF and aims to define the most challenging and urgent residual gaps in the evidence for the scientific and clinical HF communities.
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Affiliation(s)
- Giuseppe M C Rosano
- Chair of Pharmacology, Department of Human Sciences and Promotion of Quality of Life, San Raffaele University of Rome, Rome, Italy
- Cardiology, San Raffaele Cassino Hospital, Cassino, Italy
| | - Davide Stolfo
- Division of Cardiology, Cardiothoracovascular Department, Azienda Sanitaria Universitaria Integrata di Trieste, Trieste, Italy
- Division of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lisa Anderson
- Cardiovascular Clinical Academic Group, Molecular and Clinical Sciences Research Institute, St. George's University of London and St George's University Hospitals NHS Foundation Trust, London, UK
| | - Magdy Abdelhamid
- Department of Cardiovascular Medicine, Faculty of Medicine, Kasr Al Ainy, Cairo University, Giza, Egypt
| | - Marianna Adamo
- ASST Spedali Civili di Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Johann Bauersachs
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Antoni Bayes-Genis
- Heart Institute, Hospital Universitari Germans Trias i Poujol, CIBERCV, Badalona, Spain
| | - Michael Böhm
- Klinik für Innere Medizin III, Universitätsklinikum des Saarlandes, Saarland University, Homburg/Saar, Germany
| | - Ovidiu Chioncel
- University of Medicine Carol Davila, Bucharest, Romania
- Emergency Institute for Cardiovascular Diseases 'Prof. C.C. Iliescu', Bucharest, Romania
| | - Gerasimos Filippatos
- National & Kapodistrian University of Athens School of Medicine, Athens University Hospital Attikon, Chaidari, Greece
| | - Loreena Hill
- School of Nursing and Midwifery, Queen's University, Belfast, UK
| | - Mitja Lainscak
- Division of Cardiology, General Hospital Murska Sobota, Rakičan, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | - Angela H E M Maas
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Angela R Massouh
- Hariri School of Nursing, American University of Beirut, Beirut, Lebanon
| | - Brenda Moura
- Armed Forces Hospital, Porto, Portugal
- Faculty of Medicine of University of Porto, Porto, Portugal
| | - Mark C Petrie
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Amina Rakisheva
- City Cardiological Center, Almaty Kazakhstan Qonaev city hospital, Almaty Region, Kazakhstan
| | - Robin Ray
- Department of Cardiology, St George's Hospital, London, UK
| | - Gianluigi Savarese
- Division of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
- Heart and Vascular and Neuro Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Hadi Skouri
- Division of Cardiology, Sheikh Shakhbout Medical city, Abu Dhabi, UAE
| | - Sophie Van Linthout
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Center for Regenerative Therapies (BCRT), Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Partner site Berlin, Berlin, Germany
| | | | - Maurizio Volterrani
- Department of Human Science and Promotion of Quality of Life, San Raffaele Open University, Rome, Italy
- Cardio-Pulmonary Department, IRCCS San Raffaele, Rome, Italy
| | - Marco Metra
- ASST Spedali Civili di Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
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4
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Gold MR, Auricchio A, Leclercq C, Wold N, Stein KM, Ellenbogen KA. Atrioventricular optimization improves cardiac resynchronization response in patients with long interventricular electrical delays: A pooled analysis of the SMART-AV and SMART-CRT trials. Heart Rhythm 2024:S1547-5271(24)02277-X. [PMID: 38604592 DOI: 10.1016/j.hrthm.2024.03.1783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 03/21/2024] [Accepted: 03/24/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND The utility of atrioventricular (AV) optimization (AVO) algorithms remains in question. A substudy of the SMART-AV trial found that patients with prolonged interventricular delays ≥70 ms were more likely to benefit from cardiac resynchronization therapy (CRT) with AVO. The SMART-CRT trial evaluated AVO on the basis of these results, but the study was underpowered. OBJECTIVE To increase statistical power, data from SMART-AV patients meeting the inclusion criterion of interventricular delay ≥70 ms were pooled with data from SMART-CRT to reassess AVO. METHODS SMART-CRT and SMART-AV were prospective, randomized, multicenter clinical trials. Patients in both studies were randomized to be programmed with an AVO algorithm (SmartDelay) or fixed AV delay (120 ms). Paired echocardiograms obtained at baseline and 6 months were compared, with CRT response defined as ≥15% reduction in left ventricular end-systolic volume. RESULTS A total of 451 complete patient data sets were pooled and analyzed. The baseline demographics between studies did not differ statistically in terms of age, sex, left ventricular ejection fraction, or left ventricular end-systolic volume. The AVO group had a greater proportion of CRT responders (SmartDelay, 73.9%; fixed, 63.1%; P = .014) and greater changes in measures of reverse remodeling. SmartDelay patients with a recommended sensed AV delay outside the nominal range (100-120 ms) had 2.3 greater odds of CRT response than fixed AV delay patients. CONCLUSION Greater CRT response and measures of reverse remodeling were observed in patients with SmartDelay enabled vs a fixed AV delay. This study supports the use of SmartDelay in patients with a CRT indication and interventricular delay ≥70 ms. CLINICALTRIALS GOV REGISTRATION NCT00677014 and NCT03089281.
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Affiliation(s)
- Michael R Gold
- Medical University of South Carolina, Charleston, South Carolina.
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5
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Bank AJ, Brown CD, Burns KV, Johnson KM. Determination of sensed and paced atrial-ventricular delay in cardiac resynchronization therapy. Pacing Clin Electrophysiol 2024; 47:533-541. [PMID: 38477034 DOI: 10.1111/pace.14963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 02/08/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND Optimization of atrial-ventricular delay (AVD) during atrial sensing (SAVD) and pacing (PAVD) provides the most effective cardiac resynchronization therapy (CRT). We demonstrate a novel electrocardiographic methodology for quantifying electrical synchrony and optimizing SAVD/PAVD. METHODS We studied 40 CRT patients with LV activation delay. Atrial-sensed to RV-sensed (As-RVs) and atrial-paced to RV-sensed (Ap-RVs) intervals were measured from intracardiac electrograms (IEGM). LV-only pacing was performed over a range of SAVD/PAVD settings. Electrical dyssynchrony (cardiac resynchronization index; CRI) was measured at each setting using a multilead ECG system placed over the anterior and posterior torso. Biventricular pacing, which included multiple interventricular delays, was also conducted in a subset of 10 patients. RESULTS When paced LV-only, peak CRI was similar (93 ± 5% vs. 92 ± 5%) during atrial sensing or pacing but optimal PAVD was 61 ± 31 ms greater than optimal SAVD. The difference between As-RVs and Ap-RVs intervals on IEGMs (62 ± 31 ms) was nearly identical. The slope of the correlation line (0.98) and the correlation coefficient r (0.99) comparing the 2 methods of assessing SAVD-PAVD offset were nearly 1 and the y-intercept (0.63 ms) was near 0. During simultaneous biventricular (BiV) pacing at short AVD, SAVD and PAVD programming did not affect CRI, but CRI was significantly (p < .05) lower during atrial sensing at long AVD. CONCLUSIONS A novel methodology for measuring electrical dyssynchrony was used to determine electrically optimal SAVD/PAVD during LV-only pacing. When BiV pacing, shorter AVDs produce better electrical synchrony.
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Affiliation(s)
- Alan J Bank
- Research Department, Minneapolis Heart Institute East at United Hospital, St. Paul, Minnesota, USA
- Heart Rhythm Science Center, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota, USA
| | - Christopher D Brown
- Research Department, Minneapolis Heart Institute East at United Hospital, St. Paul, Minnesota, USA
| | - Kevin V Burns
- Research Department, Minneapolis Heart Institute East at United Hospital, St. Paul, Minnesota, USA
- Heart Rhythm Science Center, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota, USA
| | - Katie M Johnson
- Research Department, Minneapolis Heart Institute East at United Hospital, St. Paul, Minnesota, USA
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Dutta A, Alqabbani RRM, Hagendorff A, Tayal B. Understanding the Application of Mechanical Dyssynchrony in Patients with Heart Failure Considered for CRT. J Cardiovasc Dev Dis 2024; 11:64. [PMID: 38392278 PMCID: PMC10888548 DOI: 10.3390/jcdd11020064] [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: 11/15/2023] [Revised: 01/16/2024] [Accepted: 01/23/2024] [Indexed: 02/24/2024] Open
Abstract
Over the past two decades of CRT use, the failure rate has remained around 30-35%, despite several updates in the guidelines based on the understanding from multiple trials. This review article summarizes the role of mechanical dyssynchrony in the selection of heart failure patients for cardiac resynchronization therapy. Understanding the application of mechanical dyssynchrony has also evolved during these past two decades. There is no role of lone mechanical dyssynchrony in the patient selection for CRT. However, mechanical dyssynchrony can complement the electrocardiogram and clinical criteria and improve patient selection by reducing the failure rate. An oversimplified approach to mechanical dyssynchrony assessment, such as just estimating time-to-peak delays between segments, should not be used. Instead, methods that can identify the underlying pathophysiology of HF and are representative of a substrate to CRT should be applied.
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Affiliation(s)
- Abhishek Dutta
- Department of Cardiology, Nazareth Hospital, Philadelphia, PA 19020, USA
| | - Rakan Radwan M Alqabbani
- Department of Internal Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA
| | - Andreas Hagendorff
- Department of Cardiology, Leipzig University Hospital, 04103 Leipzig, Germany
| | - Bhupendar Tayal
- Harrington and Heart and Vascular Center, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA
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7
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Baldi Antognini A, Frieri R, Rosenberger WF, Zagoraiou M. Optimal design for inference on the threshold of a biomarker. Stat Methods Med Res 2024; 33:321-343. [PMID: 38297878 DOI: 10.1177/09622802231225964] [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] [Indexed: 02/02/2024]
Abstract
Enrichment designs with a continuous biomarker require the estimation of a threshold to determine the subpopulation benefitting from the treatment. This article provides the optimal allocation for inference in a two-stage enrichment design for treatment comparisons when a continuous biomarker is suspected to affect patient response. Several design criteria, associated with different trial objectives, are optimized under balanced or Neyman allocation and under equality of the first two empirical biomarker's moments. Moreover, we propose a new covariate-adaptive randomization procedure that converges to the optimum with the fastest available rate. Theoretical and simulation results show that this strategy improves the efficiency of a two-stage enrichment clinical trial, especially with smaller sample sizes and under heterogeneous responses.
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Affiliation(s)
| | - Rosamarie Frieri
- Department of Statistical Sciences, University of Bologna, Bologna, Italy
| | | | - Maroussa Zagoraiou
- Department of Statistical Sciences, University of Bologna, Bologna, Italy
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Green PG, Monteiro C, Holdsworth DA, Betts TR, Herring N. Cardiac resynchronization using fusion pacing during exercise. J Cardiovasc Electrophysiol 2024; 35:146-154. [PMID: 37888415 DOI: 10.1111/jce.16120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/02/2023] [Accepted: 10/24/2023] [Indexed: 10/28/2023]
Abstract
INTRODUCTION Fusion pacing requires correct timing of left ventricular pacing to right ventricular activation, although it is unclear whether this is maintained when atrioventricular (AV) conduction changes during exercise. We used cardiopulmonary exercise testing (CPET) to compare cardiac resynchronization therapy (CRT) using fusion pacing or fixed AV delays (AVD). METHODS Patients 6 months post-CRT implant with PR intervals < 250 ms performed two CPET tests, using either the SyncAV™ algorithm or fixed AVD of 120 ms in a double-blinded, randomized, crossover study. All other programming was optimized to produce the narrowest QRS duration (QRSd) possible. RESULTS Twenty patients (11 male, age 71 [65-77] years) were recruited. Fixed AVD and fusion programming resulted in similar narrowing of QRSd from intrinsic rhythm at rest (p = .85). Overall, there was no difference in peak oxygen consumption (V̇O2 PEAK , p = .19), oxygen consumption at anaerobic threshold (VT1, p = .42), or in the time to reach either V̇O2 PEAK (p = .81) or VT1 (p = .39). The BORG rating of perceived exertion was similar between groups. CPET performance was also analyzed comparing whichever programming gave the narrowest QRSd at rest (119 [96-136] vs. 134 [119-142] ms, p < .01). QRSd during exercise (p = .03), peak O2 pulse (mL/beat, a surrogate of stroke volume, p = .03), and cardiac efficiency (watts/mL/kg/min, p = .04) were significantly improved. CONCLUSION Fusion pacing is maintained during exercise without impairing exercise capacity compared with fixed AVD. However, using whichever algorithm gives the narrowest QRSd at rest is associated with a narrower QRSd during exercise, higher peak stroke volume, and improved cardiac efficiency.
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Affiliation(s)
- Peregrine G Green
- Department of Physiology, Anatomy and Genetics, Burdon Sanderson Cardiac Science Centre, University of Oxford, Oxford, UK
- Department of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Oxford Heart Centre, John Radcliffe Hospital, University of Oxford NHS Foundation Trust, Oxford, UK
| | - Cristiana Monteiro
- Department of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - David A Holdsworth
- Department of Physiology, Anatomy and Genetics, Burdon Sanderson Cardiac Science Centre, University of Oxford, Oxford, UK
- Oxford Heart Centre, John Radcliffe Hospital, University of Oxford NHS Foundation Trust, Oxford, UK
| | - Timothy R Betts
- Department of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Oxford Heart Centre, John Radcliffe Hospital, University of Oxford NHS Foundation Trust, Oxford, UK
| | - Neil Herring
- Department of Physiology, Anatomy and Genetics, Burdon Sanderson Cardiac Science Centre, University of Oxford, Oxford, UK
- Oxford Heart Centre, John Radcliffe Hospital, University of Oxford NHS Foundation Trust, Oxford, UK
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Vătășescu RG, Târtea GC, Iorgulescu C, Cojocaru C, Deaconu A, Badiul A, Goanță EV, Bogdan Ș, Cozma D. Predictors for Super-Responders in Cardiac Resynchronization Therapy. Am J Ther 2024; 31:e13-e23. [PMID: 38231577 DOI: 10.1097/mjt.0000000000001692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
BACKGROUND Prediction of cardiac resynchronization therapy (CRT) response, particularly a super-response, is of great importance. STUDY QUESTION The aim of our study was to assess the predictors for super-responders in CRT. STUDY DESIGN We conducted a retrospective, observational study, which finally included 622 patients with heart failure treated with CRT between January 2008 and May 2020 who had a minimal follow-up of 6 months after CRT. MEASURES AND OUTCOMES A total of 192 super-responders, defined by a left ventricular ejection fraction (LVEF) of at least 45%, and/or minimum 15% increase in LVEF and an improvement of the New York Heart Association functional class by at least 2 degrees at the last follow-up, and the rest of 430 patients who did not fulfill the super-responder criteria. RESULTS The highest rate of super-responders (41.91%, n = 171) was at patients with left ventricle-only pacing with optimal fusion (OPT) compared with patients with biventricular (BiV) pacing (9.81%, n = 21, P < 0.000). In the OPT group, univariable analysis showed that nonischemic cardiomyopathy, a smaller degree of mitral regurgitation, and better left ventricle function at enrollment were predictors for super-response compared with the BiV group where a narrower QRS after implantation, nonischemic cardiomyopathy, and a better baseline LVEF were predictors for super-responders. In the multivariable analysis, both narrower QRS after implantation and nonischemic cardiomyopathy were independent predictors for super-response in the BiV group compared with OPT where nonischemic cardiomyopathy remained the only independent predictor for super-response. CONCLUSIONS In this retrospective study, OPT CRT programing was an additional predictor of super-response to CRT besides nonischemic cardiomyopathy.
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Affiliation(s)
- Radu Gabriel Vătășescu
- Department of Cardiology, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
- Department of Cardiology, Clinic Emergency Hospital of Bucharest, Bucharest, Romania
| | - Georgică Costinel Târtea
- Department of Physiology, University of Medicine and Pharmacy of Craiova, Craiova, Romania
- Department of Cardiology, Emergency County Hospital of Craiova, Craiova, Romania
| | - Corneliu Iorgulescu
- Department of Cardiology, Clinic Emergency Hospital of Bucharest, Bucharest, Romania
| | - Cosmin Cojocaru
- Department of Cardiology, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
- Department of Cardiology, Clinic Emergency Hospital of Bucharest, Bucharest, Romania
| | - Alexandru Deaconu
- Department of Cardiology, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
- Department of Cardiology, Clinic Emergency Hospital of Bucharest, Bucharest, Romania
| | - Alexandru Badiul
- Department of Cardiology, Clinic Emergency Hospital of Bucharest, Bucharest, Romania
| | - Emilia-Violeta Goanță
- Department of Cardiology, Emergency County Hospital of Craiova, Craiova, Romania
- Department of Cardiology, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania
| | - Ștefan Bogdan
- Department of Cardiology, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
- Department of Cardiology, "Elias" University Emergency Hospital, Bucharest, Romania; and
| | - Dragoș Cozma
- Department of Cardiology, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania
- Institute of Cardiovascular Diseases Timisoara, Timisoara, Romania
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Niu H, Yu Y, Ravikumar V, Gold MR. The impact of chronotropic incompetence on atrioventricular conduction times in heart failure patients. J Interv Card Electrophysiol 2023; 66:2055-2062. [PMID: 37036553 DOI: 10.1007/s10840-023-01545-5] [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] [Received: 10/21/2022] [Accepted: 04/03/2023] [Indexed: 04/11/2023]
Abstract
BACKGROUND Intrinsic atrioventricular (AV) conduction is used to optimize AV intervals with cardiac resynchronization therapy (CRT) in most device algorithms. Atrial pacing and heart rate affect conduction times, but little is known regarding differeces among chronotropic incompetent(CI) and competent(CC) patients to guide programming. METHODS RAVE was a multicenter prospective trial of CRT patients. Heart rate was increased with incremental atrial pacing and with submaximal exercise. According to the maximal heart rate achieved during exercise, patients were classified as either CI or CC. For CI patients, an additional symptom-limited exercise with rate-adaptive pacing activated was performed. Intracardiac intervals were measured from the implantable lead electrograms in multiple postures. RESULTS There were 12 subjects with CI and 24 with CC. With atrial pacing, AV interval immediately increased and gradually increased with incremental atrial pacing in all patients. However, the changes in the atrial to right ventricular (ARV) and atrial to left ventricular (ALV) intervals with increasing atrial pacing rates were about threefold greater in CI patients compared to CC patients (24.3 ± 28.9 vs. 7.2 ± 5.5 ms/10 bpm for ARV and 22.7 ± 25.6 vs. 7.1 ± 5.7 ms/10 bpm for ALV in the standing position, p < 0.05). In CI pacing with rate-adaptive pacing during exercise, AV interval changes with paced heart rate were variable. CONCLUSIONS The AV response to overdrive atrial pacing at rest may provide a simple means of identifying chronotropic competence in CRT patients. For patients with CI, who often require rate-adaptive atrial pacing, rate-adaptive AV algorithms should be adjusted individually.
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Affiliation(s)
- Hongxia Niu
- Cardiac Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | | | - Michael R Gold
- Division of Cardiology, Medical University of South Carolina, 30 Courtenay Drive, MSC 592, Charleston, SC, 29425, USA.
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11
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Borgquist R, Marinko S, Platonov PG, Wang L, Chaudhry U, Brandt J, Mörtsell D. Maximizing QRS duration reduction in contemporary cardiac resynchronization therapy is feasible and shorter QRS duration is associated with better clinical outcome. J Interv Card Electrophysiol 2023; 66:1799-1806. [PMID: 36629961 PMCID: PMC10570164 DOI: 10.1007/s10840-022-01463-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 12/19/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND We aimed to evaluate if optimization by maximizing QRS duration (QRSd) reduction is feasible in an all-comer cardiac resynchronization therapy (CRT) population, and if reduced, QRSd is associated with a better clinical outcome. METHODS Patients with LBBB receiving CRT implants during the period 2015-2020 were retrospectively evaluated. Implants from 2015-2017 were designated as controls. Starting from 2018, an active 12-lead electrogram-based optimization of QRSd reduction was implemented (intervention group). QRSd reduction was evaluated in a structured way at various device AV and VV settings, aiming to maximize the reduction. The primary endpoint was a composite of heart failure hospitalization or death from any cause. RESULTS A total of 254 patients were followed for up to 6 years (median 2.9 [1.8-4.1]), during which 82 patients (32%) reached the primary endpoint; 53 deaths (21%) and 58 (23%) heart failure hospitalizations. Median QRS duration pre-implant was 162 ms [150-174] and post-implant 146ms [132-160]. Mean reduction in QRS duration was progressively larger for each year during the intervention period, ranging from - 9.5ms in the control group to - 24 in the year 2020 (p = 0.005). QRS reduction > 14 ms (median value) was associated with a lower risk of death or heart failure hospitalization (adjusted HR 0.54 [0.29-0.98] (p = 0.04). CONCLUSIONS Implementing a general strategy of CRT device optimization by aiming for shorter QRS duration is feasible in a structured clinical setting and results in larger reductions in QRS duration post-implant. In patients with a larger QRS reduction, compared to those with a smaller QRS reduction, there is an association with a better clinical outcome.
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Affiliation(s)
- Rasmus Borgquist
- Arrhythmia section, Skane University Hospital, Entrégatan 7, 222 42, Lund, Sweden.
| | - Sofia Marinko
- Cardiology section, Department of clinical sciences, Lund University, Lund, Sweden
- Arrhythmia section, Skane University Hospital, Entrégatan 7, 222 42, Lund, Sweden
| | - Pyotr G Platonov
- Cardiology section, Department of clinical sciences, Lund University, Lund, Sweden
- Arrhythmia section, Skane University Hospital, Entrégatan 7, 222 42, Lund, Sweden
| | - Lingwei Wang
- Cardiology section, Department of clinical sciences, Lund University, Lund, Sweden
- Arrhythmia section, Skane University Hospital, Entrégatan 7, 222 42, Lund, Sweden
| | - Uzma Chaudhry
- Cardiology section, Department of clinical sciences, Lund University, Lund, Sweden
- Arrhythmia section, Skane University Hospital, Entrégatan 7, 222 42, Lund, Sweden
| | - Johan Brandt
- Cardiology section, Department of clinical sciences, Lund University, Lund, Sweden
- Arrhythmia section, Skane University Hospital, Entrégatan 7, 222 42, Lund, Sweden
| | - David Mörtsell
- Cardiology section, Department of clinical sciences, Lund University, Lund, Sweden
- Arrhythmia section, Skane University Hospital, Entrégatan 7, 222 42, Lund, Sweden
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12
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Chung MK, Patton KK, Lau CP, Dal Forno ARJ, Al-Khatib SM, Arora V, Birgersdotter-Green UM, Cha YM, Chung EH, Cronin EM, Curtis AB, Cygankiewicz I, Dandamudi G, Dubin AM, Ensch DP, Glotzer TV, Gold MR, Goldberger ZD, Gopinathannair R, Gorodeski EZ, Gutierrez A, Guzman JC, Huang W, Imrey PB, Indik JH, Karim S, Karpawich PP, Khaykin Y, Kiehl EL, Kron J, Kutyifa V, Link MS, Marine JE, Mullens W, Park SJ, Parkash R, Patete MF, Pathak RK, Perona CA, Rickard J, Schoenfeld MH, Seow SC, Shen WK, Shoda M, Singh JP, Slotwiner DJ, Sridhar ARM, Srivatsa UN, Stecker EC, Tanawuttiwat T, Tang WHW, Tapias CA, Tracy CM, Upadhyay GA, Varma N, Vernooy K, Vijayaraman P, Worsnick SA, Zareba W, Zeitler EP, Lopez-Cabanillas N, Ellenbogen KA, Hua W, Ikeda T, Mackall JA, Mason PK, McLeod CJ, Mela T, Moore JP, Racenet LK. 2023 HRS/APHRS/LAHRS guideline on cardiac physiologic pacing for the avoidance and mitigation of heart failure. J Arrhythm 2023; 39:681-756. [PMID: 37799799 PMCID: PMC10549836 DOI: 10.1002/joa3.12872] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023] Open
Abstract
Cardiac physiologic pacing (CPP), encompassing cardiac resynchronization therapy (CRT) and conduction system pacing (CSP), has emerged as a pacing therapy strategy that may mitigate or prevent the development of heart failure (HF) in patients with ventricular dyssynchrony or pacing-induced cardiomyopathy. This clinical practice guideline is intended to provide guidance on indications for CRT for HF therapy and CPP in patients with pacemaker indications or HF, patient selection, pre-procedure evaluation and preparation, implant procedure management, follow-up evaluation and optimization of CPP response, and use in pediatric populations. Gaps in knowledge, pointing to new directions for future research, are also identified.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Eugene H Chung
- University of Michigan Medical School Ann Arbor Michigan USA
| | | | | | | | | | - Anne M Dubin
- Stanford University, Pediatric Cardiology Palo Alto California USA
| | - Douglas P Ensch
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Taya V Glotzer
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
| | - Michael R Gold
- Medical University of South Carolina Charleston South Carolina USA
| | - Zachary D Goldberger
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
| | | | - Eiran Z Gorodeski
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
| | | | | | - Weijian Huang
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
| | - Peter B Imrey
- Cleveland Clinic Cleveland Ohio USA
- Case Western Reserve University Cleveland Ohio USA
| | - Julia H Indik
- University of Arizona, Sarver Heart Center Tucson Arizona USA
| | - Saima Karim
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
| | - Peter P Karpawich
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
| | - Yaariv Khaykin
- Southlake Regional Health Center Newmarket Ontario Canada
| | | | - Jordana Kron
- Virginia Commonwealth University Richmond Virginia USA
| | | | - Mark S Link
- University of Texas Southwestern Medical Center Dallas Texas USA
| | - Joseph E Marine
- Johns Hopkins University School of Medicine Baltimore Maryland USA
| | - Wilfried Mullens
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
| | - Seung-Jung Park
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
| | | | | | - Rajeev Kumar Pathak
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
| | | | | | | | | | | | - Morio Shoda
- Tokyo Women's Medical University Tokyo Japan
| | - Jagmeet P Singh
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
| | - David J Slotwiner
- Weill Cornell Medicine Population Health Sciences New York New York USA
| | | | - Uma N Srivatsa
- University of California Davis Sacramento California USA
| | | | | | | | | | - Cynthia M Tracy
- George Washington University Washington District of Columbia USA
| | | | | | - Kevin Vernooy
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
| | | | | | - Wojciech Zareba
- University of Rochester Medical Center Rochester New York USA
| | | | - Nestor Lopez-Cabanillas
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Kenneth A Ellenbogen
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Wei Hua
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Takanori Ikeda
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Judith A Mackall
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Pamela K Mason
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Christopher J McLeod
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Theofanie Mela
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Jeremy P Moore
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Laurel Kay Racenet
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
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13
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Knijnik L, Wang B, Cardoso R, Shanafelt C, Lloyd MS. Clinical outcomes of automatic algorithms in cardiac resynchronization therapy: Systematic review and meta-analysis. Heart Rhythm O2 2023; 4:618-624. [PMID: 37936674 PMCID: PMC10626183 DOI: 10.1016/j.hroo.2023.09.001] [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] [Indexed: 11/09/2023] Open
Abstract
Background Algorithms to automatically adjust atrioventricular (AV) and interventricular (VV) intervals in cardiac resynchronization therapy (CRT) devices are common, but their clinical efficacy is unknown. Objective The purpose of this study was to evaluate automatic CRT algorithms in patients with heart failure for the reduction of mortality, heart failure hospitalizations, and clinical improvement. Methods We performed a systematic review and meta-analysis of randomized controlled trials (RCTs) in patients with CRT using automatic algorithms that change AV and VV intervals dynamically without manual input, on a beat-to-beat basis. We performed a subgroup analysis including intracardiac electrogram-based (EGM) algorithms and contractility-based algorithms. Results Nine RCTs with 8531 participants were included, of whom 4275 (50.1%) were randomized to automatic algorithm. Seven of the 9 trials used EGM-based algorithms, and 2 used contractility sensors. There was no difference in all-cause mortality (10.3% vs 11.3%; odds ratio [OR] 0.90; 95% confidence interval [CI] 0.71-1.03; P = .13; I2 = 0%) or heart failure hospitalizations (15.0% vs 16.1%; OR 0.924; 95% CI 0.81-1.04; P = .194; I2 = 0%) between the automatic algorithm group and the control group. Study-defined clinical improvement was also not significantly different between groups (66.6% vs 63.3%; risk ratio 1.01; 95% CI 0.95-1.06; P = .82; I2 = 50%). In the contractility-based subgroup, there was a trend toward greater clinical improvement with the use of the automatic algorithm (75% vs 68.3%; OR 1.45; 95% CI 0.97-2.18; P = .07; I2 = 40%), which did not reach statistical significance. The overall risk of bias was low. Conclusion Automatic algorithms that change AV or VV intervals did not improve mortality, heart failure hospitalizations, or cardiovascular symptoms in patients with heart failure and CRT.
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Affiliation(s)
- Leonardo Knijnik
- Emory University Adult Congenital Heart Center, Atlanta, Georgia
| | - Bo Wang
- Emory University Adult Congenital Heart Center, Atlanta, Georgia
| | - Rhanderson Cardoso
- Heart and Vascular Center, Brigham and Women’s Hospital, Boston Massachusetts
| | - Colby Shanafelt
- Emory University Adult Congenital Heart Center, Atlanta, Georgia
| | - Michael S. Lloyd
- Emory University Adult Congenital Heart Center, Atlanta, Georgia
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14
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Bivona DJ, Oomen PJA, Wang Y, Morales FL, Abdi M, Gao X, Malhotra R, Darby A, Mehta N, Monfredi OJ, Mangrum JM, Mason PK, Levy WC, Mazimba S, Patel AR, Epstein FH, Bilchick KC. Cardiac Magnetic Resonance, Electromechanical Activation, Kidney Function, and Natriuretic Peptides in Cardiac Resynchronization Therapy Upgrades. J Cardiovasc Dev Dis 2023; 10:409. [PMID: 37887856 PMCID: PMC10607260 DOI: 10.3390/jcdd10100409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/07/2023] [Accepted: 09/18/2023] [Indexed: 10/28/2023] Open
Abstract
As the mechanism for worse prognosis after cardiac resynchronization therapy (CRT) upgrades in heart failure patients with RVP dependence (RVP-HF) has clinical implications for patient selection and CRT implementation approaches, this study's objective was to evaluate prognostic implications of cardiac magnetic resonance (CMR) findings and clinical factors in 102 HF patients (23.5% female, median age 66.5 years old, median follow-up 4.8 years) with and without RVP dependence undergoing upgrade and de novo CRT implants. Compared with other CRT groups, RVP-HF patients had decreased survival (p = 0.02), more anterior late-activated LV pacing sites (p = 0.002) by CMR, more atrial fibrillation (p = 0.0006), and higher creatinine (0.002). CMR activation timing at the LV pacing site predicted post-CRT LV functional improvement (p < 0.05), and mechanical activation onset < 34 ms by CMR at the LVP site was associated with decreased post-CRT survival in a model with higher pre-CRT creatinine and B-type natriuretic peptide (AUC 0.89; p < 0.0001); however, only the higher pre-CRT creatinine partially mediated (37%) the decreased survival in RVP-HF patients. In conclusion, RVP-HF had a distinct CMR phenotype, which has important implications for the selection of LV pacing sites in CRT upgrades, and only chronic kidney disease mediated the decreased survival after CRT in RVP-HF.
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Affiliation(s)
- Derek J. Bivona
- Department of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA 22908, USA; (D.J.B.); (F.L.M.); (R.M.); (A.D.); (O.J.M.); (J.M.M.); (P.K.M.); (S.M.); (A.R.P.)
| | - Pim J. A. Oomen
- Department of Biomedical Engineering, University of California Irvine, Irvine, CA 92617, USA;
| | - Yu Wang
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, VA 22908, USA; (Y.W.); (M.A.); (F.H.E.)
| | - Frances L. Morales
- Department of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA 22908, USA; (D.J.B.); (F.L.M.); (R.M.); (A.D.); (O.J.M.); (J.M.M.); (P.K.M.); (S.M.); (A.R.P.)
| | - Mohamad Abdi
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, VA 22908, USA; (Y.W.); (M.A.); (F.H.E.)
| | - Xu Gao
- Department of Medicine, Northwestern University, Chicago, IL 60611, USA;
| | - Rohit Malhotra
- Department of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA 22908, USA; (D.J.B.); (F.L.M.); (R.M.); (A.D.); (O.J.M.); (J.M.M.); (P.K.M.); (S.M.); (A.R.P.)
| | - Andrew Darby
- Department of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA 22908, USA; (D.J.B.); (F.L.M.); (R.M.); (A.D.); (O.J.M.); (J.M.M.); (P.K.M.); (S.M.); (A.R.P.)
| | - Nishaki Mehta
- Department of Medicine, William Beaumont Oakland University School of Medicine, Royal Oak, MI 48309, USA;
| | - Oliver J. Monfredi
- Department of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA 22908, USA; (D.J.B.); (F.L.M.); (R.M.); (A.D.); (O.J.M.); (J.M.M.); (P.K.M.); (S.M.); (A.R.P.)
| | - J. Michael Mangrum
- Department of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA 22908, USA; (D.J.B.); (F.L.M.); (R.M.); (A.D.); (O.J.M.); (J.M.M.); (P.K.M.); (S.M.); (A.R.P.)
| | - Pamela K. Mason
- Department of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA 22908, USA; (D.J.B.); (F.L.M.); (R.M.); (A.D.); (O.J.M.); (J.M.M.); (P.K.M.); (S.M.); (A.R.P.)
| | - Wayne C. Levy
- Department of Medicine, University of Washington, Seattle, WA 98195, USA;
| | - Sula Mazimba
- Department of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA 22908, USA; (D.J.B.); (F.L.M.); (R.M.); (A.D.); (O.J.M.); (J.M.M.); (P.K.M.); (S.M.); (A.R.P.)
| | - Amit R. Patel
- Department of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA 22908, USA; (D.J.B.); (F.L.M.); (R.M.); (A.D.); (O.J.M.); (J.M.M.); (P.K.M.); (S.M.); (A.R.P.)
| | - Frederick H. Epstein
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, VA 22908, USA; (Y.W.); (M.A.); (F.H.E.)
- Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, VA 22908, USA
| | - Kenneth C. Bilchick
- Department of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA 22908, USA; (D.J.B.); (F.L.M.); (R.M.); (A.D.); (O.J.M.); (J.M.M.); (P.K.M.); (S.M.); (A.R.P.)
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15
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Chung MK, Patton KK, Lau CP, Dal Forno ARJ, Al-Khatib SM, Arora V, Birgersdotter-Green UM, Cha YM, Chung EH, Cronin EM, Curtis AB, Cygankiewicz I, Dandamudi G, Dubin AM, Ensch DP, Glotzer TV, Gold MR, Goldberger ZD, Gopinathannair R, Gorodeski EZ, Gutierrez A, Guzman JC, Huang W, Imrey PB, Indik JH, Karim S, Karpawich PP, Khaykin Y, Kiehl EL, Kron J, Kutyifa V, Link MS, Marine JE, Mullens W, Park SJ, Parkash R, Patete MF, Pathak RK, Perona CA, Rickard J, Schoenfeld MH, Seow SC, Shen WK, Shoda M, Singh JP, Slotwiner DJ, Sridhar ARM, Srivatsa UN, Stecker EC, Tanawuttiwat T, Tang WHW, Tapias CA, Tracy CM, Upadhyay GA, Varma N, Vernooy K, Vijayaraman P, Worsnick SA, Zareba W, Zeitler EP. 2023 HRS/APHRS/LAHRS guideline on cardiac physiologic pacing for the avoidance and mitigation of heart failure. Heart Rhythm 2023; 20:e17-e91. [PMID: 37283271 PMCID: PMC11062890 DOI: 10.1016/j.hrthm.2023.03.1538] [Citation(s) in RCA: 105] [Impact Index Per Article: 105.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 03/31/2023] [Indexed: 06/08/2023]
Abstract
Cardiac physiologic pacing (CPP), encompassing cardiac resynchronization therapy (CRT) and conduction system pacing (CSP), has emerged as a pacing therapy strategy that may mitigate or prevent the development of heart failure (HF) in patients with ventricular dyssynchrony or pacing-induced cardiomyopathy. This clinical practice guideline is intended to provide guidance on indications for CRT for HF therapy and CPP in patients with pacemaker indications or HF, patient selection, pre-procedure evaluation and preparation, implant procedure management, follow-up evaluation and optimization of CPP response, and use in pediatric populations. Gaps in knowledge, pointing to new directions for future research, are also identified.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Eugene H Chung
- University of Michigan Medical School, Ann Arbor, Michigan
| | | | | | | | | | - Anne M Dubin
- Stanford University, Pediatric Cardiology, Palo Alto, California
| | | | - Taya V Glotzer
- Hackensack Meridian School of Medicine, Hackensack, New Jersey
| | - Michael R Gold
- Medical University of South Carolina, Charleston, South Carolina
| | - Zachary D Goldberger
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | | | - Eiran Z Gorodeski
- University Hospitals and Case Western Reserve University School of Medicine, Cleveland, Ohio
| | | | | | - Weijian Huang
- First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Peter B Imrey
- Cleveland Clinic, Cleveland, Ohio; Case Western Reserve University, Cleveland, Ohio
| | - Julia H Indik
- University of Arizona, Sarver Heart Center, Tucson, Arizona
| | - Saima Karim
- MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Peter P Karpawich
- The Children's Hospital of Michigan, Central Michigan University, Detroit, Michigan
| | - Yaariv Khaykin
- Southlake Regional Health Center, Newmarket, Ontario, Canada
| | | | - Jordana Kron
- Virginia Commonwealth University, Richmond, Virginia
| | | | - Mark S Link
- University of Texas Southwestern Medical Center, Dallas, Texas
| | - Joseph E Marine
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Wilfried Mullens
- Ziekenhuis Oost-Limburg Genk, Belgium and Hasselt University, Hasselt, Belgium
| | - Seung-Jung Park
- Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Ratika Parkash
- QEII Health Sciences Center, Halifax, Nova Scotia, Canada
| | | | - Rajeev Kumar Pathak
- Australian National University, Canberra Hospital, Garran, Australian Capital Territory, Australia
| | | | | | | | | | | | - Morio Shoda
- Tokyo Women's Medical University, Tokyo, Japan
| | - Jagmeet P Singh
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - David J Slotwiner
- Weill Cornell Medicine Population Health Sciences, New York, New York
| | | | | | | | | | | | | | - Cynthia M Tracy
- George Washington University, Washington, District of Columbia
| | | | | | - Kevin Vernooy
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands
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16
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de Vere F, Wijesuriya N, Elliott MK, Mehta V, Howell S, Bishop M, Strocchi M, Niederer SA, Rinaldi CA. Managing arrhythmia in cardiac resynchronisation therapy. Front Cardiovasc Med 2023; 10:1211560. [PMID: 37608808 PMCID: PMC10440957 DOI: 10.3389/fcvm.2023.1211560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 06/30/2023] [Indexed: 08/24/2023] Open
Abstract
Arrhythmia is an extremely common finding in patients receiving cardiac resynchronisation therapy (CRT). Despite this, in the majority of randomised trials testing CRT efficacy, patients with a recent history of arrhythmia were excluded. Most of our knowledge into the management of arrhythmia in CRT is therefore based on arrhythmia trials in the heart failure (HF) population, rather than from trials dedicated to the CRT population. However, unique to CRT patients is the aim to reach as close to 100% biventricular pacing (BVP) as possible, with HF outcomes greatly influenced by relatively small changes in pacing percentage. Thus, in comparison to the average HF patient, there is an even greater incentive for controlling arrhythmia, to achieve minimal interference with the effective delivery of BVP. In this review, we examine both atrial and ventricular arrhythmias, addressing their impact on CRT, and discuss the available evidence regarding optimal arrhythmia management in this patient group. We review pharmacological and procedural-based approaches, and lastly explore novel ways of harnessing device data to guide treatment of arrhythmia in CRT.
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Affiliation(s)
- Felicity de Vere
- School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Nadeev Wijesuriya
- School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Mark K. Elliott
- School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Vishal Mehta
- School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Sandra Howell
- School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Martin Bishop
- School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom
| | - Marina Strocchi
- School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom
| | - Steven A. Niederer
- School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom
| | - Christopher A. Rinaldi
- School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
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17
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Kloosterman M, Daniëls F, Roseboom E, Rienstra M, Maass AH. Cardiac Resynchronization Therapy beyond Nominal Settings: An IEGM-Based Approach for Paced and Sensed Atrioventricular Delay Offset Optimization in Daily Clinical Practice. J Clin Med 2023; 12:4138. [PMID: 37373831 PMCID: PMC10299691 DOI: 10.3390/jcm12124138] [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: 04/25/2023] [Revised: 05/19/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
Optimization of the atrioventricular (AV) delay has been performed in several landmark trials in cardiac resynchronization therapy (CRT), although it is often not performed in daily practice. Our aim was to study optimal AV delays and investigate a simple intracardiac electrogram (IEGM)-based optimization approach. 328 CRT patients with paired IEGM and echocardiography optimization data were included in our single-center observational study. Sensed (sAV) and paced (pAV) AV delays were optimized using an iterative echocardiography method. The offset between sAV and pAV delays was calculated using the IEGM method. The mean age of the patients was 69 ± 12 years; 64% were men, 48% had ischemic etiology of heart failure. During echocardiographic optimization, an offset of 73 ± 18 ms was found, differing from nominal AV settings (p < 0.001). Based on the IEGM method, the optimal offset was 75 ± 25 ms. The echocardiographic and IEGM-generated AV offset delays showed good correlation (R2 = 0.62, p < 0.001) and good agreement according to Bland-Altman plot analysis. CRT responders had a near zero offset difference between IEGM and echo optimization (-0.2 ± 17 ms), while non-responders had an offset difference of 6 ± 17 ms, p = 0.006. In conclusion, optimal AV delays are patient-specific and differ from nominal settings. pAV delay can easily be calculated from IEGM after sAV delay optimization.
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Affiliation(s)
- Mariëlle Kloosterman
- University Medical Center Groningen, Department of Cardiology, University of Groningen, 9712 CP Groningen, The Netherlands; (M.K.); (F.D.); (E.R.); (M.R.)
| | - Fenna Daniëls
- University Medical Center Groningen, Department of Cardiology, University of Groningen, 9712 CP Groningen, The Netherlands; (M.K.); (F.D.); (E.R.); (M.R.)
- Department of Cardiology, Isala Hospital, 8025 AB Zwolle, The Netherlands
| | - Eva Roseboom
- University Medical Center Groningen, Department of Cardiology, University of Groningen, 9712 CP Groningen, The Netherlands; (M.K.); (F.D.); (E.R.); (M.R.)
| | - Michiel Rienstra
- University Medical Center Groningen, Department of Cardiology, University of Groningen, 9712 CP Groningen, The Netherlands; (M.K.); (F.D.); (E.R.); (M.R.)
| | - Alexander H. Maass
- University Medical Center Groningen, Department of Cardiology, University of Groningen, 9712 CP Groningen, The Netherlands; (M.K.); (F.D.); (E.R.); (M.R.)
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18
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Hopman LHGA, Zweerink A, van der Lingen ALCJ, Huntelaar MJ, Mulder MJ, Robbers LFHJ, van Rossum AC, van Halm VP, Götte MJW, Allaart CP. Feasibility of CMR Imaging during Biventricular Pacing: Comparison with Invasive Measurement as a Pathway towards a Novel Optimization Strategy. J Clin Med 2023; 12:3998. [PMID: 37373691 PMCID: PMC10298880 DOI: 10.3390/jcm12123998] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/07/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023] Open
Abstract
OBJECTIVES This prospective pilot study assessed the feasibility of cardiovascular magnetic resonance (CMR) imaging during biventricular (BIV) pacing in patients with a CMR conditional cardiac resynchronization therapy defibrillator (CRT-D) and compared the results with invasive volume measurements. METHODS Ten CRT-D patients underwent CMR imaging prior to device implantation (baseline) and six weeks after device implantation, including CRT-on and CRT-off modes. Left ventricular (LV) function, volumes, and strain measurements of LV dyssynchrony and dyscoordination were assessed. Invasive pressure-volume measurements were performed, matching the CRT settings used during CMR. RESULTS Post-implantation imaging enabled reliable cine assessment, but showed artefacts on late gadolinium enhancement images. After six weeks of CRT, significant reverse remodeling was observed, with a 22.7 ± 11% reduction in LV end-systolic volume during intrinsic rhythm (CRT-off). During CRT-on, the LV ejection fraction significantly improved from 27.4 ± 5.9% to 32.2 ± 8.7% (p < 0.01), and the strain assessment showed the abolition of the left bundle branch block contraction pattern. Invasively measured and CMR-assessed LV hemodynamics during BIV pacing were significantly associated. CONCLUSIONS Post-CRT implantation CMR assessing acute LV pump function is feasible and provides important insights into the effects of BIV pacing on cardiac function and contraction patterns. LV assessment during CMR may constitute a future CRT optimization strategy.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Cornelis P. Allaart
- Department of Cardiology, Amsterdam UMC, De Boelelaan 1118, 1081 HV Amsterdam, The Netherlands; (L.H.G.A.H.)
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19
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Butcher CJT, Cantor E, Sohaib A, Shun-Shin MJ, Haynes R, Khan H, Kyriacou A, Shi R, Chen Z, Haldar S, Cleland JGF, Hussain W, Markides V, Jones DG, Lane RE, Mason MJ, Whinnett ZI, Francis DP, Wong T. Variation in optimal hemodynamic atrio-ventricular delay of biventricular pacing with different endocardial left ventricular lead locations using precision hemodynamics. J Cardiovasc Electrophysiol 2023; 34:1431-1440. [PMID: 36786511 DOI: 10.1111/jce.15862] [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] [Received: 06/15/2022] [Revised: 01/11/2023] [Accepted: 02/05/2023] [Indexed: 02/15/2023]
Abstract
INTRODUCTION It is not known whether the optimal atrioventricular (AVopt ) delay varies between left ventricular (LV) pacing site during endocardial biventricular pacing (BiVP) and may therefore needs consideration. METHODS We assessed the hemodynamic AVopt in patients with chronic heart failure undergoing endocardial LV lead implantation. AVopt was assessed during atrio-BiVP with a "roving LV lead." Up to four locations were studied: mid-lateral wall, mid-septum (or a close alternative), site of greatest hemodynamic improvement, and LV lead implant site. The AVopt was compared to a fixed AV delay of 180 ms. RESULTS Seventeen patients were included (12 male, aged 66.5 ± 12.8 years, ejection fraction 26 ± 7%, 16 left bundle branch block or high percentage of right ventricular pacing [RVP], QRS duration 167 ± 27 ms). In most locations (62/63), AVopt increased systolic blood pressure during BiVP compared with RVP (relative improvement 6 mmHg, interquartile range [IQR] 4-9 mmHg). Compared to a fixed AV delay, the hemodynamic improvement at AVopt was higher (1 mmHg, IQR 0.2-2.6 mmHg, p < .001). Within most patients (16/17), we observed a difference in AVopt between pacing sites (median paced AVopt 209 ms, IQR 117-250). Within this range, the hemodynamic impact of these differences was small (median loss 0.6 mmHg, IQR 0.1-2.6 mmHg). CONCLUSION Within a patient, different endocardial LV lead locations have slightly different hemodynamic AVopt which are superior to a fixed AV delay. The hemodynamic consequence of applying an optimum from a different lead location is small.
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Affiliation(s)
- Charles J T Butcher
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
- NHLI, Imperial College London, London, UK
| | - Emily Cantor
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
- NHLI, Imperial College London, London, UK
| | - Afzal Sohaib
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
- NHLI, Imperial College London, London, UK
| | - Matthew J Shun-Shin
- NHLI, Imperial College London, London, UK
- International Centre for Circulatory Health, Imperial College London, London, UK
| | - Ross Haynes
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Habib Khan
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
- NHLI, Imperial College London, London, UK
| | - Adreas Kyriacou
- Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Rui Shi
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Zhong Chen
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Shouvik Haldar
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - Wajid Hussain
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Vias Markides
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - David G Jones
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Rebecca E Lane
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Mark J Mason
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Zachary I Whinnett
- NHLI, Imperial College London, London, UK
- International Centre for Circulatory Health, Imperial College London, London, UK
| | - Darrel P Francis
- NHLI, Imperial College London, London, UK
- International Centre for Circulatory Health, Imperial College London, London, UK
| | - Tom Wong
- Heart Rhythm Centre, The Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust, London, UK
- NHLI, Imperial College London, London, UK
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20
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Wijesuriya N, Mehta V, De Vere F, Strocchi M, Behar JM, Niederer SA, Rinaldi CA. The role of conduction system pacing in patients with atrial fibrillation. Front Cardiovasc Med 2023; 10:1187754. [PMID: 37304966 PMCID: PMC10248047 DOI: 10.3389/fcvm.2023.1187754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 04/24/2023] [Indexed: 06/13/2023] Open
Abstract
Conduction system pacing (CSP) has emerged as a promising novel delivery method for Cardiac Resynchronisation Therapy (CRT), providing an alternative to conventional biventricular epicardial (BiV) pacing in indicated patients. Despite increasing popularity and widespread uptake, CSP has rarely been specifically examined in patients with atrial fibrillation (AF), a cohort which forms a significant proportion of the heart failure (HF) population. In this review, we first examine the mechanistic evidence for the importance of sinus rhythm (SR) in CSP by allowing adjustment of atrioventricular delays (AVD) to achieve the optimal electrical response, and thus, whether the efficacy of CSP may be significantly attenuated compared to conventional BiV pacing in the presence of AF. We next evaluate the largest clinical body of evidence in this field, related to patients receiving CSP following atrioventricular nodal ablation (AVNA) for AF. Finally, we discuss how future research may be designed to address the vital question of how effective CSP in AF patients is, and the potential hurdles we may face in delivering such studies.
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Affiliation(s)
- Nadeev Wijesuriya
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Vishal Mehta
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Felicity De Vere
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Marina Strocchi
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Jonathan M. Behar
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Steven A. Niederer
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Research and Innovation Cluster, Alan Turing Institute, London, United Kingdom
| | - Christopher A. Rinaldi
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
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21
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Ballantyne BA, Chew DS, Vandenberk B. Paradigm Shifts in Cardiac Pacing: Where Have We Been and What Lies Ahead? J Clin Med 2023; 12:jcm12082938. [PMID: 37109274 PMCID: PMC10146747 DOI: 10.3390/jcm12082938] [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: 03/15/2023] [Revised: 04/07/2023] [Accepted: 04/09/2023] [Indexed: 04/29/2023] Open
Abstract
The history of cardiac pacing dates back to the 1930s with externalized pacing and has evolved to incorporate transvenous, multi-lead, or even leadless devices. Annual implantation rates of cardiac implantable electronic devices have increased since the introduction of the implantable system, likely related to expanding indications, and increasing global life expectancy and aging demographics. Here, we summarize the relevant literature on cardiac pacing to demonstrate the enormous impact it has had within the field of cardiology. Further, we look forward to the future of cardiac pacing, including conduction system pacing and leadless pacing strategies.
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Affiliation(s)
- Brennan A Ballantyne
- Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Derek S Chew
- Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Bert Vandenberk
- Department of Cardiovascular Sciences, KU Leuven, 3000 Leuven, Belgium
- Department of Cardiology, University Hospitals Leuven, 3000 Leuven, Belgium
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22
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Atabekov TA, Khlynin MS, Mishkina AI, Batalov RE, Sazonova SI, Krivolapov SN, Saushkin VV, Varlamova YV, Zavadovsky KV, Popov SV. The Value of Left Ventricular Mechanical Dyssynchrony and Scar Burden in the Combined Assessment of Factors Associated with Cardiac Resynchronization Therapy Response in Patients with CRT-D. J Clin Med 2023; 12:jcm12062120. [PMID: 36983123 PMCID: PMC10059815 DOI: 10.3390/jcm12062120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/01/2023] [Accepted: 03/07/2023] [Indexed: 03/11/2023] Open
Abstract
Background: Cardiac resynchronization therapy (CRT) improves the outcome in patients with heart failure (HF). However, approximately 30% of patients are nonresponsive to CRT. The aim of this study was to determine the role of the left ventricular (LV) mechanical dyssynchrony (MD) and scar burden as predictors of CRT response. Methods: In this study, we included 56 patients with HF and the left bundle-branch block with QRS duration ≥ 150 ms who underwent CRT-D implantation. In addition to a full examination, myocardial perfusion imaging and gated blood-pool single-photon emission computed tomography were performed. Patients were grouped based on the response to CRT assessed via echocardiography (decrease in LV end-systolic volume ≥15% or/and improvement in the LV ejection fraction ≥5%). Results: In total, 45 patients (80.3%) were responders and 11 (19.7%) were nonresponders to CRT. In multivariate logistic regression, LV anterior-wall standard deviation (adjusted odds ratio (OR) 1.5275; 95% confidence interval (CI) 1.1472–2.0340; p = 0.0037), summed rest score (OR 0.7299; 95% CI 0.5627–0.9469; p = 0.0178), and HF nonischemic etiology (OR 20.1425; 95% CI 1.2719–318.9961; p = 0.0331) were the independent predictors of CRT response. Conclusion: Scar burden and MD assessed using cardiac scintigraphy are associated with response to CRT.
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23
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Wijesuriya N, Elliott MK, Mehta V, De Vere F, Strocchi M, Behar JM, Niederer SA, Rinaldi CA. Pacing interventions in non-responders to cardiac resynchronization therapy. Front Physiol 2023; 14:1054095. [PMID: 36776979 PMCID: PMC9909021 DOI: 10.3389/fphys.2023.1054095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/17/2023] [Indexed: 01/28/2023] Open
Abstract
Non-responders to Cardiac Resynchronization Therapy (CRT) represent a high-risk, and difficult to treat population of heart failure patients. Studies have shown that these patients have a lower quality of life and reduced life expectancy compared to those who respond to CRT. Whilst the first-line treatment for dyssynchronous heart failure is "conventional" biventricular epicardial CRT, a range of novel pacing interventions have emerged as potential alternatives. This has raised the question whether these new treatments may be useful as a second-line pacing intervention for treating non-responders, or indeed, whether some patients may benefit from these as a first-line option. In this review, we will examine the current evidence for four pacing interventions in the context of treatment of conventional CRT non-responders: CRT optimization; multisite left ventricular pacing; left ventricular endocardial pacing and conduction system pacing.
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Affiliation(s)
- Nadeev Wijesuriya
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom,Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom,*Correspondence: Nadeev Wijesuriya,
| | - Mark K. Elliott
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom,Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Vishal Mehta
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom,Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Felicity De Vere
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom,Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Marina Strocchi
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Jonathan M. Behar
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom,Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Steven A. Niederer
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Christopher A. Rinaldi
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom,Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
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Impact of long-term optimizing atrioventricular delay using device-based algorithms on cardiac resynchronization therapy. Heart Vessels 2023; 38:216-227. [PMID: 36173447 PMCID: PMC9816250 DOI: 10.1007/s00380-022-02162-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 08/18/2022] [Indexed: 01/10/2023]
Abstract
Sub-optimal atrioventricular delay (AVD) is one of the main causes of non-responder for cardiac resynchronization therapy (CRT). Recently, device-based algorithms (DBAs) that provide optimal AVD based on intracardiac electrograms, have been developed. However, their long-term effectiveness is still unknown. This study aims to investigate the effect of optimizing AVD using DBAs over a long period, on the prognosis of patients undergoing CRT. A total of 118 patients who underwent CRT at our hospital between April 2008 and March 2018, were retrospectively reviewed; 61 of them with optimizing AVD using DBAs were classified into the treated group (group 1), and the remaining 57 were classified into the control group (group 2). The median follow-up period was 46.0 months. The responder and survival rate in group 1 were significantly better than those in group 2 (group 1 vs. group 2: responder rate = 64% vs. 46%, p = 0.046; survival rate: 85.2% vs. 64.9%, p = 0.02). Moreover, investigating only the non-responder population showed that group 1 had an improved survival rate compared to group 2 (group 1 vs. group 2 = 72.7% vs. 45.1%, p = 0.02). Optimizing AVD using DBAs was a significant contributor to the improved survival rate in CRT non-responders in multivariate analysis (HR 3.6, p = 0.01). In conclusion, the long-term optimizing AVD using DBAs improved the survival rate in CRT and the prognosis of CRT non-responders, as well.
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25
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Ikeda Y, Kato R. Clinical implication of device-based algorithm that optimize atrioventricular delay during cardiac resynchronization therapy: author’s reply. Heart Vessels 2022; 38:998-999. [DOI: 10.1007/s00380-022-02205-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 11/10/2022] [Indexed: 11/28/2022]
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26
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Haque A, Stubbs D, Hubig NC, Spinale FG, Richardson WJ. Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features. BMC Med Inform Decis Mak 2022; 22:282. [PMID: 36316772 PMCID: PMC9620606 DOI: 10.1186/s12911-022-02015-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 10/04/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Cardiac Resynchronization Therapy (CRT) is a widely used, device-based therapy for patients with left ventricle (LV) failure. Unfortunately, many patients do not benefit from CRT, so there is potential value in identifying this group of non-responders before CRT implementation. Past studies suggest that predicting CRT response will require diverse variables, including demographic, biomarker, and LV function data. Accordingly, the objective of this study was to integrate diverse variable types into a machine learning algorithm for predicting individual patient responses to CRT. METHODS We built an ensemble classification algorithm using previously acquired data from the SMART-AV CRT clinical trial (n = 794 patients). We used five-fold stratified cross-validation on 80% of the patients (n = 635) to train the model with variables collected at 0 months (before initiating CRT), and the remaining 20% of the patients (n = 159) were used as a hold-out test set for model validation. To improve model interpretability, we quantified feature importance values using SHapley Additive exPlanations (SHAP) analysis and used Local Interpretable Model-agnostic Explanations (LIME) to explain patient-specific predictions. RESULTS Our classification algorithm incorporated 26 patient demographic and medical history variables, 12 biomarker variables, and 18 LV functional variables, which yielded correct prediction of CRT response in 71% of patients. Additional patient stratification to identify the subgroups with the highest or lowest likelihood of response showed 96% accuracy with 22 correct predictions out of 23 patients in the highest and lowest responder groups. CONCLUSION Computationally integrating general patient characteristics, comorbidities, therapy history, circulating biomarkers, and LV function data available before CRT intervention can improve the prediction of individual patient responses.
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Affiliation(s)
- Anamul Haque
- Biomedical Data Science & Informatics Program, Clemson University, Clemson, SC, USA
| | - Doug Stubbs
- Biomedical Data Science & Informatics Program, Clemson University, Clemson, SC, USA
| | - Nina C Hubig
- Biomedical Data Science & Informatics Program, Clemson University, Clemson, SC, USA
| | - Francis G Spinale
- School of Medicine, Columbia Veterans Affairs Health Care System, University of South Carolina, Columbia, SC, USA
| | - William J Richardson
- Biomedical Data Science & Informatics Program, Clemson University, Clemson, SC, USA.
- Bioengineering Department, Clemson University, Clemson, SC, USA.
- , 301 Rhodes Engineering Research, 29634, Clemson, SC, USA.
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27
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The Interplay of PR Interval and AV Pacing Delays Used for Cardiac Resynchronization Therapy in Heart Failure Patients: Association with Clinical Response in a Retrospective Analysis of a Large Observational Study. J Pers Med 2022; 12:jpm12091512. [PMID: 36143297 PMCID: PMC9501597 DOI: 10.3390/jpm12091512] [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: 08/08/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 11/17/2022] Open
Abstract
Background. Cardiac resynchronization therapy (CRT) is a treatment for heart failure (HF) patients with prolonged QRS and impaired left ventricular (LV) systolic function. We aim to evaluate how the baseline PR interval is associated with outcomes (all-cause death or HF hospitalizations) and LV reverse remodeling (>15% relative reduction in LV end-systolic volume). Methods. Among 2224 patients with CRT defibrillators, 1718 (77.2%) had a device programmed at out-of-the-box settings (sensed AV delay: 100 ms and paced AV delay: 130 ms). Results. In this cohort of 1718 patients (78.7% men, mean age 66 years, 71.6% in NYHA class III/IV, LVEF = 27 ± 6%), echocardiographic assessment at 6-month follow-up showed that LV reverse remodeling was not constant as a function of the PR interval; in detail, it occurred in 56.4% of all patients but was more frequent (76.6%) in patients with a PR interval of 160 ms. In a median follow-up of 20 months, the endpoint of death or HF hospitalizations occurred in 304/1718 (17.7%) patients; in the multivariable regression analysis it was significantly less frequent when the PR interval was between 150 and 170 ms (hazard ratio = 0.79, 95% confidence interval (CI): 0.63−0.99, p = 0.046). The same PR range was associated with higher probability of CRT response (odds ratio = 2.51, 95% CI: 1.41−4.47, p = 0.002). Conclusions. In a large population of CRT patients, with fixed AV pacing delays, specific PR intervals are associated with significant benefits in terms of LV reverse remodeling and lower morbidity. These observational data suggest the importance of optimizing pacing programming as a function of the PR interval to maximize CRT response and patient outcome.
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28
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Bank AJ, Brown CD, Burns KV, Espinosa EA, Harbin MM. Electrical dyssynchrony mapping and cardiac resynchronization therapy. J Electrocardiol 2022; 74:73-81. [PMID: 36055070 DOI: 10.1016/j.jelectrocard.2022.08.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/12/2022] [Accepted: 08/16/2022] [Indexed: 12/13/2022]
Abstract
PURPOSE There is no clinical methodology for quantification or display of electrical dyssynchrony over a wide range of atrial-ventricular delays (AVD) and ventricular-ventricular delays (VVD) in patients with cardiac resynchronization therapy (CRT). This study aimed to develop a new methodology, based on wavefront fusion, for mapping electrical synchrony. METHODS A cardiac resynchronization index (CRI) was measured at multiple device settings in 90 patients. Electrical dyssynchrony maps (EDM) were constructed for each patient to display CRI at any combination of AVD and VVD. An optimal synchrony line (OSL) depicted the AVD/VVD combinations producing the highest CRIs. Fusion of right ventricular paced (RVp), left ventricular paced (LVp), and native wavefront offsets were calculated. RESULTS CRI significantly increased (p < 0.0001) from 58.0 ± 28.1% at baseline to 98.3 ± 1.7% at optimized settings. EDMs in patients with high-grade heart block (n = 20) had an OSL parallel to the simultaneous biventricular pacing (BiVPVV-SIM) line with leftward shift across all AVDs (RVp-LVpOFFSET = 50.5 ± 29.8 ms). EDMs in patients with intact AV node conduction (n = 64) had an OSL parallel to the BiVPVV-SIM line with leftward shift at short AVDs (RVp-LVpOFFSET = 33.4 ± 23.3 ms), curvilinear at intermediate AVDs (triple fusion), and vertical at long AVDs (native-LVpOFFSET = 85.2 ± 22.8 ms) in all patients except those with poor LV lead position (n = 6). CONCLUSION A new methodology is described for quantifying and graphing electrical dyssynchrony over a physiologic range of AVDs/VVDs. This methodology offers a noninvasive, practical, clinical approach for measuring electrical synchrony that could be applied to optimization of CRT devices.
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Affiliation(s)
- Alan J Bank
- Minneapolis Heart Institute East, Allina Health, St. Paul, MN, USA; Cardiology Division, Department of Medicine, University of Minnesota, Minneapolis, MN, USA; Heart Rhythm Science Center, Minneapolis Heart Institute Foundation, Minneapolis, MN, USA.
| | | | - Kevin V Burns
- Minneapolis Heart Institute East, Allina Health, St. Paul, MN, USA
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29
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Lehmann HI, Tsao L, Singh JP. Treatment of cardiac resynchronization therapy non-responders: current approaches and new frontiers. Expert Rev Med Devices 2022; 19:539-547. [PMID: 35997539 DOI: 10.1080/17434440.2022.2117031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Cardiac resynchronization therapy (CRT) has developed into a very effective technology for patients with decreased systolic function and has substantially improved patients' clinical course. However, non-responsiveness to CRT, described as lack of reverse cardiac chamber remodeling, leading to lack to improve symptoms, heart failure hospitalizations or mortality, is common, rather unpredictable, and not fully understood. AREAS COVERED This article aims to discuss key factors that are impacting CRT response; from patient selection to LV lead position, to structured follow-up in CRT clinics. Secondly, common causes and interventions for CRT non-responsiveness are discussed. Next, insight is given into technologies representing new and feasible interventions as well as pacing strategies in this group of patients that remain challenging to treat. Finally, an outlook is given into future scientific development. EXPERT OPINION Despite the progress that has been made, CRT non-response remains a significant and complex problem. Patient management in interdisciplinary teams including heart failure, imaging, and cardiac arrhythmia experts appears critical as complexity is increasing and CRT non-response often is a multifactorial problem. This will allow optimization of medical therapy, the use of new integrated sensor technologies and telemedicine to ultimately optimize outcomes for all patients in need of CRT.
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Affiliation(s)
- H Immo Lehmann
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Lana Tsao
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Jagmeet P Singh
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
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30
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Vijayaraman P, Zalavadia D, Haseeb A, Dye C, Madan N, Skeete JR, Vipparthy SC, Young W, Ravi V, Rajakumar C, Pokharel P, Larsen T, Huang HD, Storm RH, Oren JW, Batul SA, Trohman RG, Subzposh FA, Sharma PS. Clinical outcomes of conduction system pacing compared to biventricular pacing in patients requiring cardiac resynchronization therapy. Heart Rhythm 2022; 19:1263-1271. [PMID: 35500791 DOI: 10.1016/j.hrthm.2022.04.023] [Citation(s) in RCA: 70] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 04/20/2022] [Accepted: 04/21/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) with biventricular pacing (BVP) is well-established therapy in patients with reduced left ventricular ejection fraction (LVEF) and bundle branch block or indication for pacing. Conduction system pacing (CSP) using His-bundle pacing (HBP) or left bundle branch area pacing (LBBAP) has been shown to be a safe and more physiological alternative to BVP. OBJECTIVE The purpose of this study was to compare the clinical outcomes between CSP and BVP among patients undergoing CRT. METHODS This observational study included consecutive patients with LVEF ≤35% and class I or II indications for CRT who underwent successful BVP or CSP at 2 major health care systems. The primary outcome was the composite endpoint of time to death or heart failure hospitalization (HFH). Secondary outcomes included subgroup analysis in left bundle branch block as well as individual endpoints of death and HFH. RESULTS A total of 477 patients (32% female) met inclusion criteria (BVP 219; CSP 258 [HBP 87, LBBAP 171]). Mean age was 72 ± 12 years, and mean LVEF was 26% ± 6%. Comorbidities included hypertension 70%, diabetes mellitus 45%, and coronary artery disease 52%. Paced QRS duration in CSP was significantly narrower than BVP (133 ± 21 ms vs 153 ± 24 ms; P <.001). LVEF improved in both groups during mean follow-up of 27 ± 12 months and was greater after CSP compared to BVP (39.7% ± 13% vs 33.1% ± 12%; P <.001). Primary outcome of death or HFH was significantly lower with CSP vs BVP (28.3% vs 38.4%; hazard ratio 1.52; 95% confidence interval 1.082-2.087; P = .013). CONCLUSION CSP improved clinical outcomes compared to BVP in this large cohort of patients with indications for CRT.
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Affiliation(s)
- Pugazhendhi Vijayaraman
- Geisinger Heart Institute, Wilkes Barre, Pennsylvania; Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania.
| | | | - Abdul Haseeb
- Geisinger Heart Institute, Wilkes Barre, Pennsylvania
| | - Cicely Dye
- Rush University Medical Center, Chicago, Illinois
| | - Nidhi Madan
- Rush University Medical Center, Chicago, Illinois
| | | | | | - Wilson Young
- Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania; Geisinger Heart Institute, Scranton, Pennsylvania
| | | | | | | | | | | | | | - Jess W Oren
- Geisinger Heart Institute, Danville, Pennsylvania
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Varrias D, De La Hoz MA, Zhao M, Pujol M, Orencole M, Venkata VS, Zordok MA, Luong K, Rana F, Lau E, Ibrahim N, Newton-Cheh C, Heist K, Singh J, Das S. Sex-Specific Differences in Ventricular Remodeling and Response After Cardiac Resynchronization Therapy. Am J Cardiol 2022; 174:68-75. [PMID: 35473782 DOI: 10.1016/j.amjcard.2022.03.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 03/10/2022] [Accepted: 03/15/2022] [Indexed: 01/18/2023]
Abstract
In this study, we investigated the baseline characteristics and "trajectories" of clinical response in men and women after cardiac resynchronization therapy (CRT) implantation. Although women enjoy improved echocardiographic response after CRT compared with men, the kinetics of this response and its relation to functional performance and outcomes are less clear. We identified 592 patients who underwent CRT implantation at our center between 2004 and 2017 and were serially followed in a multidisciplinary clinic. Longitudinal linear mixed effects regression for cardiac response was specified, including interaction terms between time after CRT and sex , and Cox regression models were used to assess differences in all-cause mortality by gender after CRT. Women in our cohort were younger than men, had less frequent ischemic etiology of heart failure (24% vs 60% in men), a shorter QRS (151 vs 161 ms) and more frequent left bundle branch block (77% vs 52%) at baseline. Women had a greater improvement in left ventricular ejection fraction that was evident starting at approximately 1-month after CRT. We did not observe effect modification by gender in New York Heart Association class or 6-minute walk distance after CRT. Although women had improved mortality after CRT, after adjustment for potential confounders, gender was not associated with mortality after CRT. In conclusion, women were more likely to have CRT implantation for left bundle branch block and exhibited improved echocardiographic but not functional response within the first year after CRT. Clinical outcomes after CRT were not associated with gender in adjusted analysis.
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32
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Moulin T, Hamon D, Djouadi K, D'Humières T, Elbaz N, Boukantar M, Zerbib C, Rouffiac S, Dhanjal TS, Ernande L, Derumeaux G, Teiger E, Damy T, Lellouche N. Impact of cardiac resynchronization therapy optimization inside a heart failure programme: a real-world experience. ESC Heart Fail 2022; 9:3101-3112. [PMID: 35748123 DOI: 10.1002/ehf2.14043] [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: 02/14/2022] [Revised: 05/16/2022] [Accepted: 06/03/2022] [Indexed: 11/07/2022] Open
Abstract
AIMS This study sought to describe and evaluate the impact of a routine in-hospital cardiac resynchronization therapy (CRT) programme, including comprehensive heart failure (HF) evaluation and systematic echo-guided CRT optimization. METHODS AND RESULTS CRT implanted patients were referred for optimization programme at 3 to 12 months from implantation. The program included clinical and biological status, standardized screening for potential cause of CRT non-response and systematic echo-guided atrioventricular and interventricular delays (AVd and VVd) optimization. Initial CRT-response and improvement at 6 months post-optimization were assessed with a clinical composite score (CCS). Major HF events were tracked during 1 year after optimization. A total of 227 patients were referred for CRT optimization and enrolled (71 ± 11 years old, 77% male, LVEF 30.6 ± 7.9%), of whom 111 (48.9%) were classified as initial non-responders. Left ventricular lead dislodgement was noted in 4 patients (1.8%), and loss or ≤90% biventricular capture in 22 (9.7%), mostly due to arrhythmias. Of the 196 patients (86%) who could undergo echo-guided CRT optimization, 71 (36.2%) required VVd modification and 50/144 (34.7%) AVd modification. At 6 months post-optimization, 34.3% of the initial non-responders were improved according to the CCS, but neither AVd nor VVd echo-guided modification was significantly associated with CCS-improvement. After one-year follow-up, initial non-responders maintained a higher rate of major HF events than initial responders, with no significant difference between AVd/VVd modified or not. CONCLUSIONS Our study supports the necessity of a close, comprehensive and multidisciplinary follow-up of CRT patients, without arguing for routine use of echo-guided CRT optimization.
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Affiliation(s)
- Thibaut Moulin
- Department of Cardiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
| | - David Hamon
- Department of Cardiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
| | - Kamila Djouadi
- Department of Cardiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
| | - Thomas D'Humières
- Department of Physiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France.,INSERM U955, Université Paris-Est Créteil (UPEC), EUR LIVE, Créteil, France
| | - Nathalie Elbaz
- Department of Cardiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
| | - Madjid Boukantar
- Department of Cardiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
| | - Céline Zerbib
- Department of Cardiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
| | - Ségolène Rouffiac
- Department of Cardiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
| | - Tarvinder S Dhanjal
- Department of Cardiac Electrophysiology, University of Warwick, Coventry, UK
| | - Laura Ernande
- Department of Physiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
| | - Geneviève Derumeaux
- Department of Physiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France.,INSERM U955, Université Paris-Est Créteil (UPEC), EUR LIVE, Créteil, France
| | - Emmanuel Teiger
- Department of Cardiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
| | - Thibaud Damy
- Department of Cardiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
| | - Nicolas Lellouche
- Department of Cardiology, FHU SENEC, AP-HP, University Hospital Henri Mondor, Créteil, France
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33
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Saleh S, George J, Kott KA, Meikle PJ, Figtree GA. The Translation and Commercialisation of Biomarkers for Cardiovascular Disease—A Review. Front Cardiovasc Med 2022; 9:897106. [PMID: 35722087 PMCID: PMC9201254 DOI: 10.3389/fcvm.2022.897106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/11/2022] [Indexed: 11/19/2022] Open
Abstract
As a leading cause of mortality and morbidity worldwide, cardiovascular disease and its diagnosis, quantification, and stratification remain significant health issues. Increasingly, patients present with cardiovascular disease in the absence of known risk factors, suggesting the presence of yet unrecognized pathological processes and disease predispositions. Fortunately, a host of emerging cardiovascular biomarkers characterizing and quantifying ischaemic heart disease have shown great promise in both laboratory settings and clinical trials. These have demonstrated improved predictive value additional to widely accepted biomarkers as well as providing insight into molecular phenotypes beneath the broad umbrella of cardiovascular disease that may allow for further personalized treatment regimens. However, the process of translation into clinical practice – particularly navigating the legal and commercial landscape – poses a number of challenges. Practical and legal barriers to the biomarker translational pipeline must be further considered to develop strategies to bring novel biomarkers into the clinical sphere and apply these advances at the patient bedside. Here we review the progress of emerging biomarkers in the cardiovascular space, with particular focus on those relevant to the unmet needs in ischaemic heart disease.
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Affiliation(s)
- Soloman Saleh
- Cardiothoracic and Vascular Health, Kolling Institute of Medical Research, Sydney, NSW, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Jacob George
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Katharine A. Kott
- Cardiothoracic and Vascular Health, Kolling Institute of Medical Research, Sydney, NSW, Australia
- Department of Cardiology, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW, Australia
| | - Peter J. Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Gemma A. Figtree
- Cardiothoracic and Vascular Health, Kolling Institute of Medical Research, Sydney, NSW, Australia
- Department of Cardiology, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW, Australia
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
- *Correspondence: Gemma A. Figtree
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34
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Green PG, Herring N, Betts TR. What Have We Learned in the Last 20 Years About CRT Non-Responders? Card Electrophysiol Clin 2022; 14:283-296. [PMID: 35715086 DOI: 10.1016/j.ccep.2021.12.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Although cardiac resynchronization therapy (CRT) has become well established in the treatment of heart failure, the management of patients who do not respond after CRT remains a key challenge. This review will summarize what we have learned about non-responders over the last 20 years and discuss methods for optimizing response, including the introduction of novel therapies.
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Affiliation(s)
- Peregrine G Green
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford, OX1 3PT, UK; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Level 0 John Radcliffe Hospital, Oxford, OX3 9DU, UK; Oxford Heart Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK
| | - Neil Herring
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford, OX1 3PT, UK; Oxford Heart Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK
| | - Timothy R Betts
- Oxford Heart Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK; Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
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35
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Gowani ZS, Tomashitis B, Vo CN, Field ME, Gold MR. Role of Electrical Delay in Cardiac Resynchronization Therapy Response. Card Electrophysiol Clin 2022; 14:233-241. [PMID: 35715081 DOI: 10.1016/j.ccep.2021.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Traditionally, left ventricular (LV) lead position was guided by anatomic criteria of pacing from the lateral wall of the LV. However, large trials showed little effect of LV lead position on outcomes, other than noting worse outcomes with apical positions. Given the poor correlation of cardiac resynchronization therapy (CRT) outcomes with anatomically guided LV lead placement, focus shifted toward more physiologic predictors such as targeting the areas of delayed mechanical and electrical activation. Measures of left ventricular delay and interventricular delay are strong predictors of CRT response.
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Affiliation(s)
- Zain S Gowani
- Department of Medicine, Medical University of South Carolina, 25 Courtenay Drive, MS-492, Charleston, SC 29425, USA
| | - Brett Tomashitis
- Department of Medicine, Medical University of South Carolina, 25 Courtenay Drive, MS-492, Charleston, SC 29425, USA
| | - Chau N Vo
- Department of Medicine, Medical University of South Carolina, 25 Courtenay Drive, MS-492, Charleston, SC 29425, USA
| | - Michael E Field
- Department of Medicine, Medical University of South Carolina, 25 Courtenay Drive, MS-492, Charleston, SC 29425, USA
| | - Michael R Gold
- Department of Medicine, Medical University of South Carolina, 25 Courtenay Drive, MS-492, Charleston, SC 29425, USA.
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36
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Programming Algorithms for Cardiac Resynchronization Therapy. Card Electrophysiol Clin 2022; 14:243-252. [PMID: 35715082 DOI: 10.1016/j.ccep.2021.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Current cardiac resynchronization therapy (CRT) implant guidelines emphasize the presence of electrical dyssynchrony (left bundle branch block (LBBB) and QRS > 150 ms) yet have modest predictive value for response and have not reduced the 30% nonresponse rate. Optimized programming to optimize CRT delivery has promised much but to date has largely been ineffective. What is missing is the understanding of LV paced effects (which are unpredictable) and optimal paced AV interval (that can be conserved during physiologic variations) that then can be incorporated into an individualized programming prescription. Automatic device-based algorithms that deliver electrical optimization and maintain this during ambulatory fluctuations in AV interval are discussed.
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37
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Abstract
Left ventricular (LV) dP/dtmax provides a sensitive measure of the acute hemodynamic response to cardiac resynchronization therapy (CRT) and can predict reverse remodeling on echocardiography. Its use to guide LV lead placement has been shown to improve outcomes in a multicenter randomized trial. Given the invasive protocol required for measurement, it is unlikely to be universally beneficial for patients undergoing CRT but may be useful for patients who do not respond to conventional CRT, or in those who have borderline indications or risk factors for non-response. In such cases, LV dP/dtmax may help guide LV lead placement, optimize device programming, and select the best alternative method of delivering CRT, such endocardial LV pacing or conduction system pacing.
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Affiliation(s)
- Mark K Elliott
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
| | - Vishal S Mehta
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Christopher A Rinaldi
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, UK
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38
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Rickard J. Case Studies of Cardiac Resynchronization Therapy "Nonresponders". Card Electrophysiol Clin 2022; 14:273-282. [PMID: 35715085 DOI: 10.1016/j.ccep.2021.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Outcomes following cardiac resynchronization therapy (CRT) vary widely, with some patients experiencing normalization of left ventricular function to some who seem to be harmed by biventricular pacing. The care of CRT patients postoperatively is complex and requires input from physicians specializing in electrophysiology, heart failure, and often cardiac imaging. In this section, cases of apparent CRT suboptimal response from a dedicated CRT optimization clinic are presented.
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Affiliation(s)
- John Rickard
- Section of Cardiac Electrophysiology, Department of Cardiovascular Medicine, Heart, and Vascular Institute, Cleveland Clinic, 9500 Euclid Avenue/J2-2, Cleveland, OH 44195, USA.
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39
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Harbin MM, Brown CD, Espinoza EA, Burns KV, Bank AJ. Relationship between QRS duration and resynchronization window for CRT optimization: Implications for CRT in narrow QRS patients. J Electrocardiol 2022; 72:72-78. [DOI: 10.1016/j.jelectrocard.2022.03.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 03/14/2022] [Indexed: 12/28/2022]
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40
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Chong L, Kipp R. Proarrhythmic effects of dynamic atrioventricular delay programming in a patient with cardiac resynchronization therapy and activity-induced atrioventricular node dysfunction. HeartRhythm Case Rep 2022; 8:296-300. [PMID: 35497482 PMCID: PMC9039094 DOI: 10.1016/j.hrcr.2022.01.014] [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: 11/20/2022] Open
Affiliation(s)
| | - Ryan Kipp
- Address reprint requests and correspondence: Dr Ryan Kipp, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792.
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41
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Park SJ. Device treatment of heart failure. JOURNAL OF THE KOREAN MEDICAL ASSOCIATION 2022. [DOI: 10.5124/jkma.2022.65.1.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Background: The incidence of heart failure (HF) is rapidly increasing, introducing a significant burden and challenges in clinical practice. Non-pharmacological cardiac device therapy has been established as an essential component of optimal HF management, particularly for the prevention of sudden cardiac death and the improvement of HF symptoms, left ventricular (LV) systolic function, quality of life, and eventually survival.Current Concepts: Cardiac resynchronization therapy (CRT) can correct atrioventricular or inter/intraventricular dyssynchrony, thereby improving LV systolic function. Recently, the concept of CRT is being expanded, including His bundle (HB), HB-optimized LV, left bundle branch (LBB), and LBB optimized LV pacing CRTs. Newly introduced CRT approaches by stimulating the cardiac conduction system are expected to correct dyssynchrony better and consequently exhibit better CRT outcomes than the conventional biventricular pacing CRT. The current versions of implantable cardioverter-defibrillators (ICDs) or CRT devices can continuously monitor multiple biosignals. CRT/ICD can calculate a single index by combining these multiple bio-signal data for early detection of HF aggravation. Recently, subcutaneous and transvenous ICDs showed comparable safety and efficacy in HF patients. In drug-refractory HF patients without LV dyssynchrony, cardiac contractility modulation therapy provides some promising results.Discussion and Conclusion: Recent technological advancements have improved the efficacy and safety of cardiac device therapy. Therefore, cardiac device therapy should be used more actively to manage HF patients better.
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42
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Prinzen FW, Auricchio A, Mullens W, Linde C, Huizar JF. OUP accepted manuscript. Eur Heart J 2022; 43:1917-1927. [PMID: 35265992 PMCID: PMC9123241 DOI: 10.1093/eurheartj/ehac088] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 12/02/2021] [Accepted: 02/22/2022] [Indexed: 11/14/2022] Open
Abstract
Electrical disturbances, such as atrial fibrillation (AF), dyssynchrony, tachycardia, and premature ventricular contractions (PVCs), are present in most patients with heart failure (HF). While these disturbances may be the consequence of HF, increasing evidence suggests that they may also cause or aggravate HF. Animal studies show that longer-lasting left bundle branch block, tachycardia, AF, and PVCs lead to functional derangements at the organ, cellular, and molecular level. Conversely, electrical treatment may reverse or mitigate HF. Clinical studies have shown the superiority of atrial and pulmonary vein ablation for rhythm control and AV nodal ablation for rate control in AF patients when compared with medical treatment. Ablation of PVCs can also improve left ventricular function. Cardiac resynchronization therapy (CRT) is an established adjunct therapy currently undergoing several interesting innovations. The current guideline recommendations reflect the safety and efficacy of these ablation therapies and CRT, but currently, these therapies are heavily underutilized. This review focuses on the electrical treatment of HF with reduced ejection fraction (HFrEF). We believe that the team of specialists treating an HF patient should incorporate an electrophysiologist in order to achieve a more widespread use of electrical therapies in the management of HFrEF and should also include individual conditions of the patient, such as body size and gender in therapy fine-tuning.
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Affiliation(s)
| | - Angelo Auricchio
- Division of Cardiology, Istituto Cardiocentro Ticino, Lugano, Switzerland
| | - Wilfried Mullens
- Ziekenhuis Oost Limburg, Genk, Belgium
- Biomedical Research Institute, Faculty of Medicine and Life Sciences, University Hasselt, Hasselt, Belgium
| | - Cecilia Linde
- Department of Medicine, Karolinska Institutet, Solna, Sweden
- Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Jose F Huizar
- Cardiology Division, Virginia Commonwealth University/Pauley Heart Center, Richmond, VA, USA
- Cardiology Division, Hunter Holmes McGuire Veterans Affairs Medical Center, Richmond, VA, USA
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43
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Elliott MK, Mehta VS, Martic D, Sidhu BS, Niederer S, Rinaldi CA. Atrial fibrillation in cardiac resynchronization therapy. Heart Rhythm O2 2021; 2:784-795. [PMID: 34988530 PMCID: PMC8710632 DOI: 10.1016/j.hroo.2021.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Patients with atrial fibrillation (AF) were largely excluded from the major clinical trials of cardiac resynchronization therapy (CRT), despite the presence of AF in up to 40% of patients receiving CRT in clinical practice. AF appears to attenuate the response to CRT, by the combination of a reduction in biventricular pacing and the loss of atrioventricular synchrony. In addition, remodeling secondary to CRT may influence the progression of AF. Management options for patients with AF and CRT include rate control, with drugs or atrioventricular node ablation, or rhythm control, with electrical cardioversion and antiarrhythmic therapy, or AF catheter ablation. The evidence for these therapies in patients with CRT is largely limited to observational studies or inferred from randomized studies in the general heart failure population. In this review, we explore the complex interaction between AF, heart failure, and CRT and discuss the evidence for the treatment options in this difficult patient cohort.
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Affiliation(s)
- Mark K. Elliott
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Vishal S. Mehta
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Dejana Martic
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Baldeep S. Sidhu
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Steven Niederer
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Christopher A. Rinaldi
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
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44
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Waddingham PH, Mangual J, Orini M, Badie N, McSpadden L, Lambiase PD, Chow AW. Noninvasive electrocardiographic imaging of dynamic atrioventricular delay programming in a patient with left bundle branch block. HeartRhythm Case Rep 2021; 7:849-853. [PMID: 34987974 PMCID: PMC8695252 DOI: 10.1016/j.hrcr.2021.09.009] [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: 11/23/2022] Open
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45
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Bosch R. [Patient with a defibrillator for cardiac resynchronization therapy (CRT-D) and progressive symptoms of heart failure]. Herzschrittmacherther Elektrophysiol 2021; 32:492-499. [PMID: 34748046 DOI: 10.1007/s00399-021-00825-9] [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: 07/28/2021] [Accepted: 10/12/2021] [Indexed: 11/25/2022]
Abstract
A 73-year-old woman with advanced heart failure experienced a deterioration of symptoms and left ventricular function despite treatment with cardiac resynchronization therapy (CRT). The cause was diagnosed by 12-lead ECG and corrected by reprogramming, which led to an improvement in symptoms and echocardiography.
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Affiliation(s)
- Ralph Bosch
- Cardio Centrum Ludwigsburg-Bietigheim (CCLB), Asperger Str. 48, 71634, Ludwigsburg, Deutschland.
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46
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Howell S, Stivland TM, Stein K, Ellenbogen K, Tereshchenko LG. Response to cardiac resynchronisation therapy in men and women: a secondary analysis of the SMART-AV randomised controlled trial. BMJ Open 2021; 11:e049017. [PMID: 34706949 PMCID: PMC8552143 DOI: 10.1136/bmjopen-2021-049017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES There is a controversy about whether both sexes' response to cardiac resynchronisation therapy (CRT) is similar. We aimed to assess a causal effect of sex on CRT response. DESIGN Secondary analysis of a randomised controlled trial (RCT) data. Doubly robust augmented-inverse-probability-weighted (AIPW) estimation of sex effect on CRT response. SETTING The SmartDelay Determined Atrioventricular (AV) Optimisation (SMART-AV) RCT. PARTICIPANTS The SMART-AV RCT enrolled New York Heart Association class III-IV patients with heart failure (HF) with left ventricular ejection fraction (LVEF) ≤35% despite optimal medical therapy and QRS duration ≥120 ms, in sinus rhythm. After exclusion of those with missing outcome or covariates, 741 participants (age 66±11 years; 33% female; 78% white; LVEF 28%±9%; 58% ischaemic cardiomyopathy; 75% left bundle branch block; left ventricular end-systolic volume index (LVESVI) 65±30 mL/m2) were included. INTERVENTIONS Implanted CRT defibrillator with randomly assigned AV delay as either (1) fixed at 120 ms, or (2) echocardiography-determined, or (3) SmartDelay algorithm-programmed. OUTCOME A composite of freedom from death and HF hospitalisation and a >15% reduction in LVESVI at 6 month post-CRT was the endpoint. RESULTS The primary endpoint was met by 337 patients (45.5%); 134 were women (55.6% response) and 203 were men (40.6% response); p<0.0001. After conditioning for 33 covariates that included baseline demographic, clinical, ECG, echocardiographic and biomarker characteristics, known predictors of CRT response, logistic regression showed a higher probability for composite CRT response for women versus men (OR 1.79; 95% CI 1.08 to 2.98; p<0.0001), whereas AIPW estimation showed no difference in CRT response (average treatment effect 0.88; 95% CI 0.41 to 1.89; p=0.739). After removing colliders from the model, both logistic regression (OR 1.00; 95% CI 0.69 to 1.44) and AIPW (ATE 1.06; 95% CI 0.96 to 1.16) reported similar results. CONCLUSIONS Both sexes' response to CRT is similar. Sex differences in HF substrate, treatment and comorbidities explain sex disparities in CRT outcomes. TRIAL REGISTRATION NUMBER ClinicalTrials.gov Identifier; NCT00677014.
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Affiliation(s)
- Stacey Howell
- Department of Medicine, Oregon Health & Science University School of Medicine, Portland, Oregon, USA
| | | | - Kenneth Stein
- Boston Scientific Corp, Marlborough, Massachusetts, USA
| | - Kenneth Ellenbogen
- Department of Medicine, Medical College of Virginia, Richmond, Virginia, USA
| | - Larisa G Tereshchenko
- Department of Medicine, Oregon Health & Science University School of Medicine, Portland, Oregon, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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47
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Waddingham PH, Lambiase P, Muthumala A, Rowland E, Chow AW. Fusion Pacing with Biventricular, Left Ventricular-only and Multipoint Pacing in Cardiac Resynchronisation Therapy: Latest Evidence and Strategies for Use. Arrhythm Electrophysiol Rev 2021; 10:91-100. [PMID: 34401181 PMCID: PMC8335856 DOI: 10.15420/aer.2020.49] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 03/15/2021] [Indexed: 12/11/2022] Open
Abstract
Despite advances in the field of cardiac resynchronisation therapy (CRT), response rates and durability of therapy remain relatively static. Optimising device timing intervals may be the most common modifiable factor influencing CRT efficacy after implantation. This review addresses the concept of fusion pacing as a method for improving patient outcomes with CRT. Fusion pacing describes the delivery of CRT pacing with a programming strategy to preserve intrinsic atrioventricular (AV) conduction and ventricular activation via the right bundle branch. Several methods have been assessed to achieve fusion pacing. QRS complex duration (QRSd) shortening with CRT is associated with improved clinical response. Dynamic algorithm-based optimisation targeting narrowest QRSd in patients with intact AV conduction has shown promise in people with heart failure with left bundle branch block. Individualised dynamic programming achieving fusion may achieve the greatest magnitude of electrical synchrony, measured by QRSd narrowing.
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Affiliation(s)
- Peter H Waddingham
- St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.,William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Pier Lambiase
- St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.,UCL Institute of Cardiovascular Science University College London, London, UK
| | - Amal Muthumala
- St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Edward Rowland
- St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Anthony Wc Chow
- St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.,William Harvey Research Institute, Queen Mary University of London, London, UK
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48
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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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49
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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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50
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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: 15] [Impact Index Per Article: 5.0] [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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