51
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Atwater BD, Emerek K, Sørensen PL, Hansen SM, Loring Z, Graff C, Polcwiartek C, Kisslo J, Søgaard P, Friedman DJ. PR Prolongation predicts inadequate resynchronization with biventricular pacing in left bundle branch block. PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2019; 42:1477-1485. [PMID: 31509260 DOI: 10.1111/pace.13802] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 09/02/2019] [Accepted: 09/04/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND PR interval prolongation is associated with poor outcome after cardiac resynchronization therapy (CRT) among patients with left bundle branch block (LBBB) but the mechanisms are unknown. We investigated clinical outcomes, electrocardiogram (ECG), and echocardiogram changes after CRT by PR interval. METHODS This is a retrospective study of CRT recipients with a baseline ejection fraction ≤35% and ECG showing sinus rhythm and LBBB. Patients were stratified by baseline PR interval quartile and the primary combined endpoint was time to heart transplantation, left ventricular assist device (LVAD) implantation, or death. ECG, echocardiogram, and clinical variables were compared to identify mechanisms for observed differences in outcomes. RESULTS Of 291 eligible patients, the mean age was 65 years, 60% were male, and 19% had prior atrial fibrillation. Patients with PR prolongation (quartile 4, PR > 200 ms) more frequently had a history of atrial fibrillation, coronary artery bypass graft surgery, prior implantable cardioverter defibrillator implantation, and use of amiodarone than patients in PR quartiles 1-3. A PR > 200ms was associated with an adjusted hazard ratio of 1.7 (95% CI: 1.1-2.5) for the primary endpoint. Patients with PR > 200 ms had less reduction in QRS duration and QRS area after CRT while having more increase in QT and QTc intervals than patients with PR ≤ 200 ms. No major differences were observed in echocardiography by baseline PR interval quartiles. CONCLUSIONS PR prolongation predicts shorter survival free of heart transplantation or LVAD implantation in patients with LBBB. This may be due to inadequate ventricular resynchronization.
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Affiliation(s)
- Brett D Atwater
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | - Kasper Emerek
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Peter L Sørensen
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Steen M Hansen
- Unit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark
| | - Zak Loring
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | - Claus Graff
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Christoffer Polcwiartek
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Joseph Kisslo
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | - Peter Søgaard
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.,Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Daniel J Friedman
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
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52
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Abstract
CRT is a cornerstone of therapy for patients with heart failure and reduced ejection fraction. By restoring left ventricular (LV) electrical and mechanical synchrony, CRT can reduce mortality, improve LV function and reduce heart failure symptoms. Since its introduction, many advances have been made that have improved the delivery of and enhanced the response to CRT. Improving CRT outcomes begins with proper patient selection so CRT is delivered to all populations that could benefit from it, and limiting the implantation of CRT in those with a small chance of response. In addition, advancements in LV leads and delivery technologies coupled with multimodality imaging and electrical mapping have enabled operators to place coronary sinus leads in locations that will optimise electrical and mechanical synchrony. Finally, new pacing strategies using LV endocardial pacing or His bundle pacing have allowed for CRT delivery and improved response in patients with poor coronary sinus anatomy or lack of response to traditional CRT.
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Affiliation(s)
- George Thomas
- Department of Medicine, Division of Cardiology, Cornell University Medical Center New York, US
| | - Jiwon Kim
- Department of Medicine, Division of Cardiology, Cornell University Medical Center New York, US
| | - Bruce B Lerman
- Department of Medicine, Division of Cardiology, Cornell University Medical Center New York, US
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53
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Fully automated QRS area measurement for predicting response to cardiac resynchronization therapy. J Electrocardiol 2019; 63:159-163. [PMID: 31324399 DOI: 10.1016/j.jelectrocard.2019.07.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 06/18/2019] [Accepted: 07/06/2019] [Indexed: 11/23/2022]
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) is an established treatment in patients with heart failure and conduction abnormalities. However, a significant number of patients do not respond to CRT. Currently employed criteria for selection of patients for this therapy (QRS duration and morphology) have several shortcomings. QRS area was recently shown to provide superior association with CRT response. However, its assessment was not fully automated and required the presence of an expert. OBJECTIVE Our objective was to develop a fully automated method for the assessment of vector-cardiographic (VCG) QRS area from electrocardiographic (ECG) signals. METHODS Pre-implantation ECG recordings (N = 864, 695 left-bundle-branch block, 589 men) in PDF files were converted to allow signal processing. QRS complexes were found and clustered into morphological groups. Signals were converted from 12‑lead ECG to 3‑lead VCG and an average QRS complex was built. QRS area was computed from individual areas in the X, Y and Z leads. Practical usability was evaluated using Kaplan-Meier plots and 5-year follow-up data. RESULTS The automatically calculated QRS area values were 123 ± 48 μV.s (mean values and SD), while the manually determined QRS area values were 116 ± 51 ms; the correlation coefficient between the two was r = 0.97. The automated and manual methods showed the same ability to stratify the population (hazard ratios 2.09 vs 2.03, respectively). CONCLUSION The presented approach allows the fully automatic and objective assessment of QRS area values. SIGNIFICANCE Until this study, assessing QRS area values required an expert, which means both additional costs and a risk of subjectivity. The presented approach eliminates these disadvantages and is publicly available as part of free signal-processing software.
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54
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Halamek J, Leinveber P, Viscor I, Smisek R, Plesinger F, Vondra V, Lipoldova J, Matejkova M, Jurak P. The relationship between ECG predictors of cardiac resynchronization therapy benefit. PLoS One 2019; 14:e0217097. [PMID: 31150418 PMCID: PMC6544221 DOI: 10.1371/journal.pone.0217097] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 05/04/2019] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION Cardiac resynchronization therapy (CRT) is an effective treatment that reduces mortality and improves cardiac function in patients with left bundle branch block (LBBB). However, about 30% of patients passing the current criteria do not benefit or benefit only a little from CRT. Three predictors of benefit based on different ECG properties were compared: 1) "strict" left bundle branch block classification (SLBBB); 2) QRS area; 3) ventricular electrical delay (VED) which defines the septal-lateral conduction delay. These predictors have never been analyzed concurrently. We analyzed the relationship between them on a subset of 602 records from the MADIT-CRT trial. METHODS & RESULTS SLBBB classification was performed by two experts; QRS area and VED were computed fully automatically. High-frequency QRS (HFQRS) maps were used to inspect conduction abnormalities. The correlation between SLBBB and other predictors was R = 0.613, 0.523 and 0.390 for VED, QRS area in Z lead, and QRS duration, respectively. Scatter plots were used to pick up disagreement between the predictors. The majority of SLBBB subjects- 295 of 330 (89%)-are supposed to respond positively to CRT according to the VED and QRS area, though 93 of 272 (34%) non-SLBBB should also benefit from CRT according to the VED and QRS area. CONCLUSION SLBBB classification is limited by the proper setting of cut-off values. In addition, it is too "strict" and excludes patients that may benefit from CRT therapy. QRS area and VED are clearly defined parameters. They may be used to optimize biventricular stimulation. Detailed analysis of conduction irregularities with CRT optimization should be based on HFQRS maps.
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Affiliation(s)
- Josef Halamek
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic
| | - Pavel Leinveber
- International Clinical Research Center, St. Anne’s University Hospital, Brno, Czech Republic
| | - Ivo Viscor
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic
| | - Radovan Smisek
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic
| | - Filip Plesinger
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic
| | - Vlastimil Vondra
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic
| | - Jolana Lipoldova
- International Clinical Research Center, St. Anne’s University Hospital, Brno, Czech Republic
| | - Magdalena Matejkova
- International Clinical Research Center, St. Anne’s University Hospital, Brno, Czech Republic
| | - Pavel Jurak
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic
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55
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Kloosterman M, Maass AH. Sex differences in optimal atrioventricular delay in patients receiving cardiac resynchronization therapy. Clin Res Cardiol 2019; 109:124-127. [PMID: 31115644 DOI: 10.1007/s00392-019-01492-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 05/09/2019] [Indexed: 11/26/2022]
Affiliation(s)
- Mariëlle Kloosterman
- Department of Cardiology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Alexander H Maass
- Department of Cardiology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
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56
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van Stipdonk AMW, Ter Horst I, Kloosterman M, Engels EB, Rienstra M, Crijns HJGM, Vos MA, van Gelder IC, Prinzen FW, Meine M, Maass A, Vernooy K. Response to Letter From Vereckei Regarding, "QRS Area Is a Strong Determinant of Outcome in Cardiac Resynchronization Therapy". Circ Arrhythm Electrophysiol 2019; 12:e007297. [PMID: 30922071 DOI: 10.1161/circep.119.007297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | - Iris Ter Horst
- Department of Cardiology, University Medical Centre Utrecht (I.t.H., M.M.)
| | - Marielle Kloosterman
- Department of Cardiology, University of Groningen, University Medical Centre Groningen (M.K., M.R., I.C.v.G., A.M.)
| | - Elien B Engels
- Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University (E.B.E., H.J.G.M.C., F.W.P., K.V.)
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Centre Groningen (M.K., M.R., I.C.v.G., A.M.)
| | - Harry J G M Crijns
- Department of Cardiology, Maastricht University Medical Centre (A.M.W.v.S., H.J.G.M.C., K.V.).,Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University (E.B.E., H.J.G.M.C., F.W.P., K.V.)
| | - Marc A Vos
- Department of Physiology, Department of Medical Physiology, University of Utrecht (M.A.V.)
| | - Isabelle C van Gelder
- Department of Cardiology, University of Groningen, University Medical Centre Groningen (M.K., M.R., I.C.v.G., A.M.)
| | - Frits W Prinzen
- Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University (E.B.E., H.J.G.M.C., F.W.P., K.V.)
| | - Mathias Meine
- Department of Cardiology, University Medical Centre Utrecht (I.t.H., M.M.)
| | - Alexander Maass
- Department of Cardiology, University of Groningen, University Medical Centre Groningen (M.K., M.R., I.C.v.G., A.M.)
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Centre (A.M.W.v.S., H.J.G.M.C., K.V.).,Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University (E.B.E., H.J.G.M.C., F.W.P., K.V.).,Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands (K.V.)
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57
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van Stipdonk AM, ter Horst I, Kloosterman M, Engels EB, Rienstra M, Crijns HJ, Vos MA, van Gelder IC, Prinzen FW, Meine M, Maass AH, Vernooy K. QRS Area Is a Strong Determinant of Outcome in Cardiac Resynchronization Therapy. Circ Arrhythm Electrophysiol 2018; 11:e006497. [DOI: 10.1161/circep.118.006497] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Affiliation(s)
- Antonius M.W. van Stipdonk
- Department of Cardiology, Maastricht University Medical Centre, The Netherlands (A.M.W.v.S., H.J.G.M.C., K.V.)
| | - Iris ter Horst
- Department of Cardiology, Maastricht University Medical Centre, The Netherlands (A.M.W.v.S., H.J.G.M.C., K.V.)
- Department of Cardiology, University Medical Centre Utrecht, The Netherlands (I.t.H., M.M.)
| | - Marielle Kloosterman
- Department of Cardiology, University Medical Centre Groningen, University of Groningen, The Netherlands (M.K., M.R., I.C.v.G., A.H.M.)
| | - Elien B. Engels
- Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands (E.B.E., H.J.G.M.C., F.W.P., K.V.)
| | - Michiel Rienstra
- Department of Cardiology, University Medical Centre Groningen, University of Groningen, The Netherlands (M.K., M.R., I.C.v.G., A.H.M.)
| | - Harry J.G.M. Crijns
- Department of Cardiology, Maastricht University Medical Centre, The Netherlands (A.M.W.v.S., H.J.G.M.C., K.V.)
- Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands (E.B.E., H.J.G.M.C., F.W.P., K.V.)
| | - Marc A. Vos
- Department of Medical Physiology, University of Utrecht, The Netherlands (M.A.V.)
| | - Isabelle C. van Gelder
- Department of Cardiology, University Medical Centre Groningen, University of Groningen, The Netherlands (M.K., M.R., I.C.v.G., A.H.M.)
| | - Frits W. Prinzen
- Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands (E.B.E., H.J.G.M.C., F.W.P., K.V.)
| | - Mathias Meine
- Department of Cardiology, University Medical Centre Utrecht, The Netherlands (I.t.H., M.M.)
| | - Alexander H. Maass
- Department of Cardiology, University Medical Centre Groningen, University of Groningen, The Netherlands (M.K., M.R., I.C.v.G., A.H.M.)
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Centre, The Netherlands (A.M.W.v.S., H.J.G.M.C., K.V.)
- Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands (E.B.E., H.J.G.M.C., F.W.P., K.V.)
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands (K.V.)
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McAloon CJ, Barwari T, Hu J, Hamborg T, Nevill A, Hyndman S, Ansell V, Musa A, Jones J, Goodby J, Banerjee P, O'Hare P, Mayr M, Randeva H, Osman F. Characterisation of circulating biomarkers before and after cardiac resynchronisation therapy and their role in predicting CRT response: the COVERT-HF study. Open Heart 2018; 5:e000899. [PMID: 30364565 PMCID: PMC6196945 DOI: 10.1136/openhrt-2018-000899] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 09/05/2018] [Accepted: 09/20/2018] [Indexed: 11/17/2022] Open
Abstract
Aims Cardiac resynchronisation therapy (CRT) is effective treatment for selected patients with heart failure (HF) but has ~30% non-response rate. We evaluated whether specific biomarkers can predict outcome. Methods A prospective single-centre pilot study of consecutive unselected patients undergoing CRT for HF between November 2013 and December 2015 evaluating cardiac extracellular matrix biomarkers and micro-ribonucleic acid (miRNA) expression before and after CRT assessing ability to predict functional response and survival. Each underwent three assessments (pre-implant, 6 weeks and 6 months postimplant) including: New York Heart Association (NYHA) class, echocardiography, electrocardiography, 6 min walk test (6MWT), Minnesota Living with Heart Failure Questionnaire (MLHFQ) and N-terminal pro-brain natriuretic peptide (NT-pro-BNP). Plasma markers of cardiac fibrosis assessed were: N-terminal pro-peptides of collagen I and III, collagen I C-terminal telopeptides (CTx) and matrix metalloproteinases (MMP-2 and MMP-9) as well as a panel of miRNAs (miRNA-21, miRNA-30d, miRNA-122, miRNA-133a, miRNA-210 and miRNA-486). Results A total of 52 patients were recruited; mean age (±SD) was 72.4±9.4 years; male=43 (82.7%), ischaemic aetiology=30 (57.7%), mean QRS duration=166.4±23.5 ms, left bundle branch block (LBBB) morphology = 39 (75.0%), mean NYHA=2.7±0.6, 6MWT=238.8±130.6 m, MLHFQ=46.4±21.3 and left ventricular ejection fraction (LVEF)=24.3%±8.0%. Mean follow-up=1.7±0.3 and 5.8±0.7 months. There were 27 (55.1%) functional responders (3 no definable 6-month response; 2 missed assessments and 1 long-term lead displacement). No marker predicted response, however, CTx and LBBB trended most towards predicting functional response. Conclusion No specific biomarkers reached significance for predicting functional response to CRT. CTx showed a trend towards predicting response and warrants further study. Trial registration number NCT02541773.
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Affiliation(s)
- Christopher J McAloon
- Department of Cardiology, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK.,Warwick Medical School, University of Warwick, Coventry, UK
| | - Temo Barwari
- King's British Heart Foundation Centre, King's College London, London, UK
| | - Jimiao Hu
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Thomas Hamborg
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Alan Nevill
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK
| | - Samantha Hyndman
- Department of Cardiology, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Valerie Ansell
- Department of Cardiology, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Anntoniette Musa
- Department of Cardiology, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Julie Jones
- Department of Cardiology, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Julie Goodby
- Department of Cardiology, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Prithwish Banerjee
- Department of Cardiology, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK.,Warwick Medical School, University of Warwick, Coventry, UK.,Faculty of Health and Life Sciences, University of Coventry, Coventry, UK
| | - Paul O'Hare
- Department of Cardiology, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK.,Warwick Medical School, University of Warwick, Coventry, UK
| | - Manuel Mayr
- King's British Heart Foundation Centre, King's College London, London, UK
| | - Harpal Randeva
- Department of Cardiology, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK.,Warwick Medical School, University of Warwick, Coventry, UK
| | - Faizel Osman
- Department of Cardiology, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK.,Warwick Medical School, University of Warwick, Coventry, UK
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59
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Maass AH, Yap SC. Imaging before cardiac resynchronisation therapy implantation-luxury or necessity? Neth Heart J 2018; 26:422-424. [PMID: 30088254 PMCID: PMC6115309 DOI: 10.1007/s12471-018-1140-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Affiliation(s)
- A H Maass
- Department of Cardiology, Thoraxcenter, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
| | - S C Yap
- Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands
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60
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Zweerink A, van Everdingen WM, Nijveldt R, Salden OAE, Meine M, Maass AH, Vernooy K, de Lange FJ, Vos MA, Croisille P, Clarysse P, Geelhoed B, Rienstra M, van Gelder IC, van Rossum AC, Cramer MJ, Allaart CP. Strain imaging to predict response to cardiac resynchronization therapy: a systematic comparison of strain parameters using multiple imaging techniques. ESC Heart Fail 2018; 5:1130-1140. [PMID: 30051598 PMCID: PMC6300826 DOI: 10.1002/ehf2.12335] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 05/15/2018] [Accepted: 06/18/2018] [Indexed: 11/17/2022] Open
Abstract
Aims Various strain parameters and multiple imaging techniques are presently available including cardiovascular magnetic resonance (CMR) tagging (CMR‐TAG), CMR feature tracking (CMR‐FT), and speckle tracking echocardiography (STE). This study aims to compare predictive performance of different strain parameters and evaluate results per imaging technique to predict cardiac resynchronization therapy (CRT) response. Methods and results Twenty‐seven patients were prospectively enrolled and underwent CMR and echocardiographic examination before CRT implantation. Strain analysis was performed in circumferential (CMR‐TAG, CMR‐FT, and STE‐circ) and longitudinal (STE‐long) orientations. Regional strain values, parameters of dyssynchrony, and discoordination were calculated. After 12 months, CRT response was measured by the echocardiographic change in left ventricular (LV) end‐systolic volume (LVESV). Twenty‐six patients completed follow‐up; mean LVESV change was −29 ± 27% with 17 (65%) patients showing ≥15% LVESV reduction. Measures of dyssynchrony (SD‐TTPLV) and discoordination (ISFLV) were strongly related to CRT response when using CMR‐TAG (R2 0.61 and R2 0.57, respectively), but showed poor correlations for CMR‐FT and STE (all R2 ≤ 0.32). In contrast, the end‐systolic septal strain (ESSsep) parameter showed a consistent high correlation with LVESV change for all techniques (CMR‐TAG R2 0.60; CMR‐FT R2 0.50; STE‐circ R2 0.43; and STE‐long R2 0.43). After adjustment for QRS duration and QRS morphology, ESSsep remained an independent predictor of response per technique. Conclusions End‐systolic septal strain was the only parameter with a consistent good relation to reverse remodelling after CRT, irrespective of assessment technique. In clinical practice, this measure can be obtained by any available strain imaging technique and provides predictive value on top of current guideline criteria.
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Affiliation(s)
- Alwin Zweerink
- Department of Cardiology, and Amsterdam Cardiovascular Sciences (ACS), VU University Medical Center, Amsterdam, The Netherlands
| | | | - Robin Nijveldt
- Department of Cardiology, and Amsterdam Cardiovascular Sciences (ACS), VU University Medical Center, Amsterdam, The Netherlands.,Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Odette A E Salden
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Mathias Meine
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Alexander H Maass
- Department of Cardiology, Thorax Centre, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Frederik J de Lange
- Department of Cardiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Marc A Vos
- Department of Medical Physiology, University of Utrecht, Utrecht, The Netherlands
| | - Pierre Croisille
- Univ Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, F-42023, Saint-Etienne, France
| | - Patrick Clarysse
- Univ Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, F-42023, Saint-Etienne, France
| | - Bastiaan Geelhoed
- Department of Cardiology, Thorax Centre, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Michiel Rienstra
- Department of Cardiology, Thorax Centre, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Isabelle C van Gelder
- Department of Cardiology, Thorax Centre, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, and Amsterdam Cardiovascular Sciences (ACS), VU University Medical Center, Amsterdam, The Netherlands
| | - Maarten J Cramer
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cornelis P Allaart
- Department of Cardiology, and Amsterdam Cardiovascular Sciences (ACS), VU University Medical Center, Amsterdam, The Netherlands
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61
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Nguyên UC, Verzaal NJ, van Nieuwenhoven FA, Vernooy K, Prinzen FW. Pathobiology of cardiac dyssynchrony and resynchronization therapy. Europace 2018; 20:1898-1909. [DOI: 10.1093/europace/euy035] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 02/16/2018] [Indexed: 02/04/2023] Open
Affiliation(s)
- Uyên Châu Nguyên
- Department of Physiology, Cardiovascular Research Institute Maastricht, Universiteitssingel 50, ER Maastricht, The Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Universiteitssingel 50, ER Maastricht, The Netherlands
| | - Nienke J Verzaal
- Department of Physiology, Cardiovascular Research Institute Maastricht, Universiteitssingel 50, ER Maastricht, The Netherlands
| | - Frans A van Nieuwenhoven
- Department of Physiology, Cardiovascular Research Institute Maastricht, Universiteitssingel 50, ER Maastricht, The Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Universiteitssingel 50, ER Maastricht, The Netherlands
| | - Frits W Prinzen
- Department of Physiology, Cardiovascular Research Institute Maastricht, Universiteitssingel 50, ER Maastricht, The Netherlands
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Nguyên UC, Claridge S, Vernooy K, Engels EB, Razavi R, Rinaldi CA, Chen Z, Prinzen FW. Relationship between vectorcardiographic QRS area, myocardial scar quantification, and response to cardiac resynchronization therapy. J Electrocardiol 2018; 51:457-463. [PMID: 29454649 DOI: 10.1016/j.jelectrocard.2018.01.009] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 01/10/2018] [Accepted: 01/24/2018] [Indexed: 01/06/2023]
Abstract
PURPOSE To investigate the relationship between vectorcardiography (VCG) and myocardial scar on cardiac magnetic resonance (CMR) imaging, and whether combining these metrics may improve cardiac resynchronization therapy (CRT) response prediction. METHODS Thirty-three CRT patients were included. QRSarea, Tarea and QRSTarea were derived from the ECG-synthesized VCG. CMR parameters reflecting focal scar core (Scar2SD, Gray2SD) and diffuse fibrosis (pre-T1, extracellular volume [ECV]) were assessed. CRT response was defined as ≥15% reduction in left ventricular end-systolic volume after six months' follow-up. RESULTS VCG QRSarea, Tarea and QRSTarea inversely correlated with focal scar (R = -0.44--0.58 for Scar2SD, p ≤ 0.010), but not with diffuse fibrosis. Scar2SD, Gray2SD and QRSarea predicted CRT response with AUCs of 0.692 (p = 0.063), 0.759 (p = 0.012) and 0.737 (p = 0.022) respectively. A combined ROC-derived threshold for Scar2SD and QRSarea resulted in 92% CRT response rate for patients with large QRSarea and small Scar2SD or Gray2SD. CONCLUSION QRSarea is inversely associated with focal scar on CMR. Incremental predictive value for CRT response is achieved by a combined CMR-QRSarea analysis.
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Affiliation(s)
- Uyên Châu Nguyên
- Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands; Department of Cardiology, Maastricht University Medical Center, CARIM, Maastricht, The Netherlands.
| | - Simon Claridge
- Department of Cardiology, Guys and St Thomas' NHS Trust, London, United Kingdom
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Center, CARIM, Maastricht, The Netherlands
| | - Elien B Engels
- Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Reza Razavi
- Division of Imaging Sciences and Biomedical Imaging, King's College London, London, United Kingdom
| | | | - Zhong Chen
- Department of Cardiology, Guys and St Thomas' NHS Trust, London, United Kingdom
| | - Frits W Prinzen
- Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
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Maass AH, Vernooy K, Cramer MJ, Vos MA, Rienstra M, Van Gelder IC. Refining success of cardiac resynchronization therapy using a simple score predicting the amount of reverse ventricular remodelling: results from the MARC study - authors reply. Europace 2018; 20:393. [PMID: 28582522 DOI: 10.1093/europace/eux169] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Indexed: 11/13/2022] Open
Affiliation(s)
- Alexander H Maass
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Center Groningen, PO. Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Maarten J Cramer
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marc A Vos
- Department of Medical Physiology, University of Utrecht, Utrecht, The Netherlands
| | - Michiel Rienstra
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Center Groningen, PO. Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Isabelle C Van Gelder
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Center Groningen, PO. Box 30.001, 9700 RB, Groningen, The Netherlands
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Rocking makes the difference. Europace 2018; 20:393. [DOI: 10.1093/europace/eux112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Indexed: 11/14/2022] Open
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65
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De Pooter J, El Haddad M, Kamoen V, Kallupurackal TT, Stroobandt R, De Buyzere M, Timmermans F. Relation between electrical and mechanical dyssynchrony in patients with left bundle branch block: An electro- and vectorcardiographic study. Ann Noninvasive Electrocardiol 2017; 23:e12525. [PMID: 29251398 DOI: 10.1111/anec.12525] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 11/22/2017] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Current guidelines select patients for cardiac resynchronization therapy (CRT) mainly on electrocardiographic parameters like QRS duration and left bundle branch block (LBBB). However, among those LBBB patients, heterogeneity in mechanical dyssynchrony occurs and might be a reason for nonresponse to CRT. This study assesses the relation between electrocardiographic characteristics and presence of mechanical dyssynchrony among LBBB patients. METHODS The study included patients with true LBBB (including mid-QRS notching) on standard 12-lead electrocardiograms. Left bundle branch block-induced mechanical dyssynchrony was assessed by the presence of septal flash on two-dimensional echocardiography. Previously reported electro- and vectorcardiographic dyssynchrony markers were analyzed: global QRS duration (QRSDLBBB ), left ventricular activation time (QRSDLVAT ), time to intrinsicoid deflection (QRSDID ), and vectorcardiographic QRS areas in the 3D vector loop (QRSA3D ). RESULTS The study enrolled 545 LBBB patients. Septal flash (SF) is present in 52% of patients presenting with true LBBB. Patients with SF are more frequent female, have less ischemic heart disease and smaller left ventricular dimensions. In multivariate analysis longer QRSDLBBB , QRSDLVAT and larger QRSA3D were independently associated with SF. Of all parameters, QRSA3D has the best accuracy to predict SF, although overall accuracy remains moderate (59% sensitivity, 58% specificity). The predictive value of QRSA3D remained constant in both sexes, irrespective of ischemic heart disease, ejection fraction and even when categorizing for QRSDLBBB . CONCLUSION In LBBB patients, large QRS areas correlate better with mechanical dyssynchrony compared to wide QRSD intervals. However, the overall accuracy to predict mechanical dyssynchrony by electrocardiographic dyssynchrony markers, even when using complex vectorcardiographic parameters, remains low.
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Affiliation(s)
- Jan De Pooter
- Ghent University Hospital, Heart Center, Ghent, Belgium
| | | | - Victor Kamoen
- Ghent University Hospital, Heart Center, Ghent, Belgium
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Cellular Therapeutics for Heart Failure: Focus on Mesenchymal Stem Cells. Stem Cells Int 2017; 2017:9640108. [PMID: 29391871 PMCID: PMC5748110 DOI: 10.1155/2017/9640108] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Revised: 07/31/2017] [Accepted: 08/14/2017] [Indexed: 12/28/2022] Open
Abstract
Resulting from a various etiologies, the most notable remains ischemia; heart failure (HF) manifests as the common end pathway of many cardiovascular processes and remains among the top causes for hospitalization and a major cause of morbidity and mortality worldwide. Current pharmacologic treatment for HF utilizes pharmacologic agents to control symptoms and slow further deterioration; however, on a cellular level, in a patient with progressive disease, fibrosis and cardiac remodeling can continue leading to end-stage heart failure. Cellular therapeutics have risen as the new hope for an improvement in the treatment of HF. Mesenchymal stem cells (MSCs) have gained popularity given their propensity of promoting endogenous cellular repair of a myriad of disease processes via paracrine signaling through expression of various cytokines, chemokines, and adhesion molecules resulting in activation of signal transduction pathways. While the exact mechanism remains to be completely elucidated, this remains the primary mechanism identified to date. Recently, MSCs have been incorporated as the central focus in clinical trials investigating the role how MSCs can play in the treatment of HF. In this review, we focus on the characteristics of MSCs that give them a distinct edge as cellular therapeutics and present results of clinical trials investigating MSCs in the setting of ischemic HF.
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van Everdingen WM, Maass AH, Vernooy K, Meine M, Allaart CP, De Lange FJ, Teske AJ, Geelhoed B, Rienstra M, Van Gelder IC, Vos MA, Cramer MJ. Comparison of strain parameters in dyssynchronous heart failure between speckle tracking echocardiography vendor systems. Cardiovasc Ultrasound 2017; 15:25. [PMID: 29047378 PMCID: PMC5648447 DOI: 10.1186/s12947-017-0116-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 10/12/2017] [Indexed: 01/08/2023] Open
Abstract
Background Although mechanical dyssynchrony parameters derived by speckle tracking echocardiography (STE) may predict response to cardiac resynchronization therapy (CRT), comparability of parameters derived with different STE vendors is unknown. Methods In the MARC study, echocardiographic images of heart failure patients obtained before CRT implantation were prospectively analysed with vendor specific STE software (GE EchoPac and Philips QLAB) and vendor-independent software (TomTec 2DCPA). Response was defined as change in left ventricular (LV) end-systolic volume between examination before and six-months after CRT implantation. Basic longitudinal strain and mechanical dyssynchrony parameters (septal to lateral wall delay (SL-delay), septal systolic rebound stretch (SRSsept), and systolic stretch index (SSI)) were obtained from either separate septal and lateral walls, or total LV apical four chamber. Septal strain patterns were categorized in three types. The coefficient of variation and intra-class correlation coefficient (ICC) were analysed. Dyssynchrony parameters were associated with CRT response using univariate regression analysis and C-statistics. Results Two-hundred eleven patients were analysed. GE-cohort (n = 123): age 68 years (interquartile range (IQR): 61–73), 67% male, QRS-duration 177 ms (IQR: 160–192), LV ejection fraction: 26 ± 7%. Philips-cohort (n = 88): age 67 years (IQR: 59–74), 60% male, QRS-duration: 179 ms (IQR: 166–193), LV ejection fraction: 27 ± 8. LV derived peak strain was comparable in the GE- (GE: -7.3 ± 3.1%, TomTec: −6.4 ± 2.8%, ICC: 0.723) and Philips-cohort (Philips: −7.7 ± 2.7%, TomTec: −7.7 ± 3.3%, ICC: 0.749). SL-delay showed low ICC values (GE vs. TomTec: 0.078 and Philips vs. TomTec: 0.025). ICC’s of SRSsept and SSI were higher but only weak (GE vs. TomTec: SRSsept: 0.470, SSI: 0.467) (Philips vs. QLAB: SRSsept: 0.419, SSI: 0.421). Comparability of septal strain patterns was low (Cohen’s kappa, GE vs. TomTec: 0.221 and Philips vs. TomTec: 0.279). Septal strain patterns, SRSsept and SSI were associated with changes in LV end-systolic volume for all vendors. SRSsept and SSI had relative varying C-statistic values (range: 0.530–0.705) and different cut-off values between vendors. Conclusions Although global longitudinal strain analysis showed fair comparability, assessment of dyssynchrony parameters was vendor specific and not applicable outside the context of the implemented platform. While the standardization taskforce took an important step for global peak strain, further standardization of STE is still warranted. Electronic supplementary material The online version of this article (10.1186/s12947-017-0116-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Wouter M van Everdingen
- Department of Cardiology, University Medical Centre Utrecht, P.O. Box 855500, 3508, GA, Utrecht, The Netherlands.
| | - Alexander H Maass
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Mathias Meine
- Department of Cardiology, University Medical Centre Utrecht, P.O. Box 855500, 3508, GA, Utrecht, The Netherlands
| | - Cornelis P Allaart
- Department of Cardiology, VU University Medical Centre, Amsterdam, The Netherlands
| | - Frederik J De Lange
- Department of Cardiology, Academic Medical Centre, Amsterdam, The Netherlands
| | - Arco J Teske
- Department of Cardiology, University Medical Centre Utrecht, P.O. Box 855500, 3508, GA, Utrecht, The Netherlands
| | - Bastiaan Geelhoed
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Michiel Rienstra
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Isabelle C Van Gelder
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Marc A Vos
- Department of Medical Physiology, University of Utrecht, Utrecht, The Netherlands
| | - Maarten J Cramer
- Department of Cardiology, University Medical Centre Utrecht, P.O. Box 855500, 3508, GA, Utrecht, The Netherlands
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van Everdingen WM, Zweerink A, Nijveldt R, Salden OAE, Meine M, Maass AH, Vernooy K, De Lange FJ, van Rossum AC, Croisille P, Clarysse P, Geelhoed B, Rienstra M, Van Gelder IC, Vos MA, Allaart CP, Cramer MJ. Comparison of strain imaging techniques in CRT candidates: CMR tagging, CMR feature tracking and speckle tracking echocardiography. Int J Cardiovasc Imaging 2017; 34:443-456. [PMID: 29043465 PMCID: PMC5847211 DOI: 10.1007/s10554-017-1253-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 09/29/2017] [Indexed: 01/22/2023]
Abstract
Parameters using myocardial strain analysis may predict response to cardiac resynchronization therapy (CRT). As the agreement between currently available strain imaging modalities is unknown, three different modalities were compared. Twenty-seven CRT-candidates, prospectively included in the MARC study, underwent cardiac magnetic resonance (CMR) imaging and echocardiographic examination. Left ventricular (LV) circumferential strain was analysed with CMR tagging (CMR-TAG), CMR feature tracking (CMR-FT), and speckle tracking echocardiography (STE). Basic strain values and parameters of dyssynchrony and discoordination obtained with CMR-FT and STE were compared to CMR-TAG. Agreement of CMR-FT and CMR-TAG was overall fair, while agreement between STE and CMR-TAG was often poor. For both comparisons, agreement on discoordination parameters was highest, followed by dyssynchrony and basic strain parameters. For discoordination parameters, agreement on systolic stretch index was highest, with fair intra-class correlation coefficients (ICC) (CMR-FT: 0.58, STE: 0.55). ICC of septal systolic rebound stretch (SRSsept) was poor (CMR-FT: 0.41, STE: 0.30). Internal stretch factor of septal and lateral wall (ISFsep-lat) showed fair ICC values (CMR-FT: 0.53, STE: 0.46), while the ICC of the total LV (ISFLV) was fair for CMR-FT (0.55) and poor for STE (ICC: 0.32). The CURE index had a fair ICC for both comparisons (CMR-FT: 0.49, STE 0.41). Although comparison of STE to CMR-TAG was limited by methodological differences, agreement between CMR-FT and CMR-TAG was overall higher compared to STE and CMR-TAG. CMR-FT is a potential clinical alternative for CMR-TAG and STE, especially in the detection of discoordination in CRT-candidates.
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Affiliation(s)
| | - Alwin Zweerink
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Centre, Amsterdam, The Netherlands
| | - Robin Nijveldt
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Centre, Amsterdam, The Netherlands
| | - Odette A. E. Salden
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Mathias Meine
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Alexander H. Maass
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | | | - Albert C. van Rossum
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Centre, Amsterdam, The Netherlands
| | - Pierre Croisille
- Université Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, 42023 Saint-Etienne, France
| | - Patrick Clarysse
- Université Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, 42023 Saint-Etienne, France
| | - Bastiaan Geelhoed
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Michiel Rienstra
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Isabelle C. Van Gelder
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Marc A. Vos
- Department of Medical Physiology, University of Utrecht, Utrecht, The Netherlands
| | - Cornelis P. Allaart
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Centre, Amsterdam, The Netherlands
| | - Maarten J. Cramer
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, The Netherlands
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A prolonged PR interval, an unfavorable shareholder of the profits of cardiac resynchronization therapy? Heart Rhythm 2017; 14:1529-1530. [DOI: 10.1016/j.hrthm.2017.06.013] [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: 06/01/2017] [Indexed: 11/19/2022]
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Zweerink A, Allaart CP, Kuijer JPA, Wu L, Beek AM, van de Ven PM, Meine M, Croisille P, Clarysse P, van Rossum AC, Nijveldt R. Strain analysis in CRT candidates using the novel segment length in cine (SLICE) post-processing technique on standard CMR cine images. Eur Radiol 2017; 27:5158-5168. [PMID: 28656465 PMCID: PMC5674110 DOI: 10.1007/s00330-017-4890-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 04/14/2017] [Accepted: 05/11/2017] [Indexed: 01/14/2023]
Abstract
Objectives Although myocardial strain analysis is a potential tool to improve patient selection for cardiac resynchronization therapy (CRT), there is currently no validated clinical approach to derive segmental strains. We evaluated the novel segment length in cine (SLICE) technique to derive segmental strains from standard cardiovascular MR (CMR) cine images in CRT candidates. Methods Twenty-seven patients with left bundle branch block underwent CMR examination including cine imaging and myocardial tagging (CMR-TAG). SLICE was performed by measuring segment length between anatomical landmarks throughout all phases on short-axis cines. This measure of frame-to-frame segment length change was compared to CMR-TAG circumferential strain measurements. Subsequently, conventional markers of CRT response were calculated. Results Segmental strains showed good to excellent agreement between SLICE and CMR-TAG (septum strain, intraclass correlation coefficient (ICC) 0.76; lateral wall strain, ICC 0.66). Conventional markers of CRT response also showed close agreement between both methods (ICC 0.61–0.78). Reproducibility of SLICE was excellent for intra-observer testing (all ICC ≥0.76) and good for interobserver testing (all ICC ≥0.61). Conclusions The novel SLICE post-processing technique on standard CMR cine images offers both accurate and robust segmental strain measures compared to the ‘gold standard’ CMR-TAG technique, and has the advantage of being widely available. Key Points • Myocardial strain analysis could potentially improve patient selection for CRT. • Currently a well validated clinical approach to derive segmental strains is lacking. • The novel SLICE technique derives segmental strains from standard CMR cine images. • SLICE-derived strain markers of CRT response showed close agreement with CMR-TAG. • Future studies will focus on the prognostic value of SLICE in CRT candidates. Electronic supplementary material The online version of this article (doi:10.1007/s00330-017-4890-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alwin Zweerink
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Center, Amsterdam, The Netherlands
| | - Cornelis P Allaart
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Center, Amsterdam, The Netherlands
| | - Joost P A Kuijer
- Department of Physics and Medical Technology, VU University Medical Center, Amsterdam, The Netherlands
| | - LiNa Wu
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Center, Amsterdam, The Netherlands
| | - Aernout M Beek
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Center, Amsterdam, The Netherlands
| | - Peter M van de Ven
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Mathias Meine
- Department of Cardiology, University Medical Center, Utrecht, The Netherlands
| | - Pierre Croisille
- Univ Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, F-42023, Saint-Etienne, France
| | - Patrick Clarysse
- Univ Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, F-42023, Saint-Etienne, France
| | - Albert C van Rossum
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Center, Amsterdam, The Netherlands
| | - Robin Nijveldt
- Department of Cardiology, and Institute for Cardiovascular Research (ICaR-VU), VU University Medical Center, Amsterdam, The Netherlands.
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