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Comparison of Speckle Tracking Echocardiography During Different Pacing Modalities for Cardiac Resynchronization Therapy Response Prediction

Shai Tejman-Yarden, Dor Hadida Barzilai, Offir Ertracht, Noa Bachner-Heinenzon, Stephan Bogdan, Uriel Katz, Sumit Chatterji, Efrat Mazor Dray, Yoav Bolkier, Michael Glikson, Roy Beinart
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Published Online: Jun 1st 2022 Heart International. 2022;16(1):64–70 DOI: https://doi.org/10.17925/HI.2022.16.1.64
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1

Abstract

Overview

Background: The aim of this study was to evaluate left ventricular mechanical activation pattern by speckle tracking echocardiography (STE) as a predictor of response to cardiac resynchronization therapy (CRT) in patients with heart failure. Methods: Echocardiography was performed during no pacing, right ventricular pacing (RVP), biventricular pacing (BVP) and multipolar pacing (MPP) immediately after CRT implantation in 16 patients at a single centre. Seven patients were diagnosed as responders and 9 patients as non-responders after 6 months of standard CRT pacing. All had adequate short axis views, and 1 CRT responder and 2 CRT non-responders had limited longitudinal views. Results: Longitudinal and circumferential global strain (GS) and global strain rate (GSR) or their change analysis, did not yield any CRT response prediction. However, the longitudinal BVP/RVP GS ratio was significantly higher in the responder group (1.32 ± 0.2%, 2.0 ± 0.4% and 1.9 ± 0.4%), compared with the non-responder group (1.06 ± 0.2%, 1.1 ± 0.4% and 1.2 ± 0.4%) in the apical two-chamber, APLAX and four-chamber views, respectively. Similarly, the longitudinal BVP/RVP GSR at active systolic phase (GSRs) was significantly higher in the responder group (1.9 ± 0.9% and 1.7 ± 0.4%) compared with the non-responder group (1.0 ± 0.4% and 1.1 ± 0.2%) in the apical APLAX and four-chamber views, respectively. Measurements of the strain delay index showed predictive power regarding CRT response in non-paced patients. Conclusion: Post implantation, longitudinal BVP/RVP GS and GSRs ratios of 1.4% and above may be useful as a CRT response prediction tool. Furthermore, our findings support the usefulness of strain delay index prior to CRT implantation in non-paced patients.

Plain Language Summary

Patients with heart failure cannot pump blood around their body properly. Often, this is due to the left and right chambers of the heart, called ventricles not pumping together at the same time. To correct this, patients with heart failure can be treated with cardiac resynchronization therapy (CRT). CRT aims to improve heart function by using an electrical pacemaker to improve heart pumping. However, about one out of every three patients do not improve with CRT. Increasing our understanding of the patients most likely to benefit from CRT may improve response to this treatment. One technique that may help predict response to CRT is called speckle tracking echocardiography (STE). STE is a method of imaging the heart. This study aimed to use STE to identify predictors of beneficial responses to CRT in patients with heart failure. Of the sixteen patients included in the study, seven responded to CRT and nine did not respond to CRT. STE measurement of the hearts of CRT responders found several factors which predicted a response to CRT. This suggests that STE imaging of hearts can be used to improve selection of patients who may benefit from CRT. This may lead to more patients with heart failure gaining benefit from CRT. However, further studies with more patients include are required to confirm these results.

Keywords

Heart failure, cardiac resynchronization therapy, speckle tracking, echocardiography, response prediction

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Article

Conventionally, according to the European Society of Cardiology pacing and cardiac resynchronization therapy (CRT) guidelines, patients with clinical heart failure and an echocardiographically measured left ventricular (LV) ejection fraction of <35% are considered for CRT implantation or standard right ventricular (RV) pacing (RVP) system upgrade.1 The recommendations for CRT typically follow failure to improve after 3 months of optimal medical therapy, QRS duration ≥150 ms and left bundle branch block morphology.2 CRT aims to mechanically synchronize the cardiac activity by pacing both ventricles simultaneously and thereby improve LV function.3 The rationale is to prevent electrical ventricular desynchronization, observed during RVP.

CRT requires the implantation of an LV pacing lead, which can be introduced through the coronary sinus or via an extra-cardiac epicardial approach.2,4–8 The lead may be unipolar or multipolar. Multipolar LV pacing is a modality that is used to optimize the cardiac response to CRT by utilizing the potentially best two sites for optimal ventricular activation. About 70% (depending on the chosen criteria) of patients tend to clinically and echocardiographically improve after the procedure and are defined as ‘CRT responders’; the remaining 30% who do not improve are referred to as ‘CRT non-responders’.3,9

Pre-implantation parameters suggesting favourable CRT response include QRS duration ≥150 ms, as well as left bundle branch block pattern with LV electrical activity delay.10 Prediction of positive CRT response may indicate who may benefit from the procedure and conversely who may be spared this intervention. Different imaging approaches have been proposed to facilitate response prediction, including speckle tracking echocardiography (STE) and cardiac magnetic resonance imaging for myocardial scar localization and optimal LV lead positioning.11 STE is conventionally used for myocardial contractility assessment to evaluate objective tissue deformation measurements. By calculating segmental strain, strain rate, LV rotation at different levels, torsion and the strain delay index (SDI), STE may be useful for LV responsiveness assessment and LV scar localization.12–16

The aim of the current study was to echocardiographically assess the LV mechanical activation patterns during RVP, standard CRT single-pole LV pacing and CRT multipolar LV pacing immediately after CRT implantation. This information was used to seek possible response predictors to CRT based on correlations between these measurements and the observed response following 6 months of standard single-pole therapy.

Methods

This study was approved by the Sheba Medical Center institutional review board and was a sub-study of the international multicenter MORE-CRT MPP clinical assessment study (More response on cardiac resynchronization therapy [CRT] with MultiPoint pacing [MPP]; ClinicalTrials.gov identifier: NCT02006069). The study was conducted by Abbott and initiated by St Jude Medical, investigating the impact of the MultiPoint™ Pacing MPP (Abbott Laboratories, Abbott Park, IL, USA) feature of a multipolar LV lead for treatment of patients who were diagnosed as non-responders 6 months after standard single-pole LV CRT treatment.17

Patients who were eligible for CRT defibrillation implantation or RVP upgrade according to the American Heart Association/Heart Rhythm Society heart failure guidelines criteria were enrolled to the MORE-CRT-MPP study. Each patient was implanted with a multipolar LV lead and, after interrogation, a standard single CRT pacing pole was chosen. The patients received standard single-pole CRT pacing for 6 months, after which an echocardiogram was performed. Patients who were diagnosed as non-responders with an LV end systolic volume reduction of <15% entered the MORE-CRT-MPP study and LV MPP was initiated.9

MORE-CRT-MPP study patients who were enrolled to the study at the Sheba Medical Center were invited to also participate in the current sub-study. These patients received an additional observational echocardiogram that had no impact on the MORE-CRT-MPP study. The additional echocardiogram was performed during the first 24 hours after successful implantation of the LV MPP lead and CRT system. The sub-study echocardiogram was performed on a Vivid 9 system (GE Healthcare AS, Oslo, Norway). This echo was designed for LV assessment by using a modified imaging protocol that included the parasternal short axis views at the levels of the mitral valve (SAX-MV), the papillary muscles (SAX-PM), the apex (SAX-AP) and apical chamber views (two-chamber view [2CH], three-chamber view [APLAX] and four-chamber view [4CH]). For the evaluation of pacing modality, this imaging sequence was repeated separately for the following modalities: 1) RVP; 2) biventricular pacing (BVP), which is the standard CRT single-pole LV pacing, with programming of LV to RV delay of 10–20 ms without optimization; 3) CRT LV MPP with programming of LV1 to LV2 delay of 5 ms, and LV2 to RV delay of 5 ms. Patients who had intact atrioventricular conduction were additionally assessed echocardiographically with no pacing at all. A MORE-CRT-MPP study echocardiogram was conducted at 6 months of therapy, serving as the basis for which to classify patients as CRT responders or non-responders according to the LV end systolic volume, with responders defined as having a reduction of ≥15% and non-responders having a reduction of <15%.9 The same classification applies in the current sub-study.

Speckle tracking analysis

Echocardiographic scans underwent post-processing evaluation using an Echo-PAC Dimension ‘08 (GE Healthcare AS, Oslo, Norway), which allowed longitudinal, circumferential and radial LV evaluation. The analysis of the longitudinal and circumferential segments (six segments for each view) included strain and strain rate measurements. The means of these measurements in each view are termed the global LV strain (GS), the global LV strain rate at early diastole (GSRe), the global LV strain rate at active diastolic phase (GSRa) and the global LV strain rate at active systolic phase (GSRs). Additional measurements for each segment included the time-to-peak, the longitudinal SDI, and the standard time deviation from the onset of the cardiac cycle to the minimum systolic volume. The time-to-peak was the duration to maximal systolic strain normalized to the end systolic time, defined as the time-to-peak of the GS. The longitudinal SDI was measured as described by Lim et al., as the sum of the difference between peak and end-systolic strain across all measured segments (presented in Figure 1).13 For LV torsion calculations, analysis of the mean radial segmental rotation derived from the short axis views were performed. The measurements included the apical rotation and the obverse mitral valve rotation, to produce the calculated ventricular torsion.

Due to between-patient diversity, we normalized the results in order to evaluate GS percentage change for each modality. We thus calculated a ratio in which the denominator was the standard measurement conducted during RVP, and to which we compare the measurements of BVP and MPP. This ratio showed the relative change percentage in GS for each pacing modality in each group.

Statistical analysis

All data are presented as mean and standard deviation. For data analysis, global data of each view (2CH, APLAX, 4CH, SAX-AP, SAX-PM, SAX-MV) were clustered according to their pacing modality (no pacing, RVP, BVP and MPP). For the segmental data analysis, we clustered measurements according to their view, segment and pacing modality. Finally, each patient was classified as a responder or a non-responder. In order to compare between groups, data were analysed using the Mann–Whitney rank sum test. A p value of <0.05 was considered significant.

Results

Eighteen patients were enrolled in this study (17 male and 1 female). The mean age of patients was 66.3 ± 9.4 years (range 45–85 years). During the 6-month therapy period, 2 patients dropped out of the study and were not categorized as either CRT responders or non-responders (1 patient died and the other was found to be non-compliant). Of the 16 patients included in the study (data presented in Table 1), 7 patients were diagnosed as responders and 9 as non-responders. Ten patients had ischaemic heart disease and 6 had non-ischaemic heart failure. The mean QRS duration in the un-paced patients (n=11) was 158 ± 18 ms (range 132–188), and the mean LV ejection fraction was 21 ± 7% (range 10–30%).

All patients had adequate short axis views (circumferential and radial analysis: responders n=7, non-responders n=9). One CRT responder and 2 CRT non-responders yielded limited apical echocardiographic windows with limited longitudinal views. These patients’ apical views were not analysed further (longitudinal analysis responders n=6, non-responders n=7). Out of the cohort of 16 patients, 14 had intact atrioventricular conduction and were sampled with no pacing (responders N=5, non-responders N=9).

With respect to apical longitudinal GS and strain rate data, only one significant finding emerged that differentiated CRT responders from non-responders – namely the APLAX view during BVP, where the GS was -8.7 ± 2.3% in the CRT responder group and -6.3 ± 1.4% in the non-responder group (p<0.05). Similar findings were observed when evaluating the circumferential GS and strain rate data, where there were almost no differences between the groups except for two significant findings: during no pacing, at the level of the mitral valve, the GS was -5.3 ± 0.6% in the CRT responder group and -9.3 ± 0.6% in the non-responder group (p<0.05); and during BVP, at the apical level, the GSRs was -0.4 ± 0.2% in the CRT responder group and -0.7 ± 0.2% in the non-responder group (p<0.05).

On the other hand, the variance between different pacing modalities calculated as the ratio between the measurements during BVP and RVP showed that the BVP/RVP ratio of the GS was significantly higher in all the apical views (Table 2). In the CRT responder group compared with the CRT non-responder group, the BVP/RVP ratio was 1.32 ± 0.2 versus 1.06 ± 0.2, respectively (p<0.05) in the two-chamber view, 2.0 ± 0.4 versus 1.1 ± 0.4, respectively (p<0.01) in the APLAX view and 1.9 ± 0.4 versus 1.2 ± 0.4 respectively (p<0.05) in the four-chamber view. Similarly, the BVP/RVP ratio of the GSRs was also significantly higher in the two apical views. In the CRT responder group compared with the CRT non-responder group, BVP/RVP ratio was 1.9 ± 0.9% versus 1.0 ± 0.4%, respectively (p<0.05) in the APLAX view, and 1.7 ± 0.4% versus 1.1 ± 0.2%, respectively (p<0.01) in the four-chamber view.

The BVP/RVP ratio calculations of the circumferential measurements (Table 3) showed that in the CRT responder group compared with the CRT non-responder group, there was a higher ratio of the GS only at the level of the papillary muscles of 1.54 ± 0.5% versus 0.97 ± 0.5%, respectively (p<0.05).

The longitudinal calculated ratio between the measurements during MPP and RVP (MPP/RVP ratio), was significantly higher in the apical views only in the two-chamber view (Table 2). In the CRT responder group compared with the CRT non-responder group, the GS was 1.32 ± 0.2% versus 1.00 ± 0.2%, respectively (p<0.05), and the GSRa was 4.5 ± 3.5% versus 0.87 ± 0.3%, respectively (p<0.05). This was not reproduced in the other apical views. Regarding the circumferential data, the MPP/RVP ratio was significantly higher only at the level of the papillary muscles (1.65 ± 0.7% versus 1.01 ± 0.7%, respectively; p<0.05).

The evaluation of the circumferential rotation at the mitral valve, the apex and the calculated torsion showed no differences at all between the responders and the non-responder groups.

Mean SDI measurements (Table 4) showed two interesting findings. The longitudinal measurements were significantly lower among non-paced patients with CRT response than in non-responders (-33.84 ± 8.4 ms versus -11.2 ± 8.4 ms; p<0.001), and inversed during BVP pacing measuring (-13.9 ± 8.4 versus -15.2 ± 5.3; p<0.001).

Discussion

STE analysis has become a widely accepted and routinely practiced method for cardiac tissue deformation analysis, especially in patients with heart failure. It is currently used to evaluate global LV function and regional LV desynchrony, which indicates the presence of scar tissue affected by ischaemia or other cardiomyopathies.18 Its application for the optimal positioning of the LV lead at the site of latest mechanical activation demonstrates consistent beneficial results, as shown in the Targeted left ventricular lead placement to guide cardiac resynchronization therapy (TARGET) study; (TARGET; ISRCTN19717943) and the STARTER (Predictors of response to biventricular pacing in heart failure; ClinicalTrials.gov identifier: NCT00156390) trial.19,20 Both of these trials confirmed that the placement of the LV lead according to guidance derived by STE may reduce heart failure morbidity and mortality compared with routine fluoroscopic lead placement.19,20

Although STE has yielded some success in allowing prediction of positive CRT response, selection of the best candidates for CRT remains an unresolved issue, as 30% of patients who undergo the procedure do not respond favourably clinically.3,9 Lim et al. showed that SDI has a strong predictive value for CRT response in both ischaemic and non-ischaemic patients.16 More recent studies have shown that septal contraction patterns may be strongly associated with CRT-induced reduction in LV end-systolic volume, and may thus hold additive prognostic information regarding future CRT responsiveness.21,22 Patients’ prognosis, however, may be insufficient in predicting CRT responsiveness, as documented by DeVecchi et al. with respect to contractile recovery in patients following CRT.23

In the current study, we investigated the possibility of using STE as a prediction tool for successful CRT implantation treatment. We were able to image patients immediately after the implantation, documenting cardiac function using all types of pacing prior to any remodelling achieved by the CRT. Similarly to previous studies, we found that no value of GS or GSR, or their change, allowed any prediction regarding CRT responsiveness. This is mainly due to the wide range between patients in terms of age, weight and cardiac function.

However, the ratio between the measurements in all the apical views during BVP and RVP showed that the BVP/RVP ratio of the GS was significantly higher in the responder group compared with the non-responder group. The CRT responder group ratios were 1.32 ± 0.2, 2.0 ± 0.4 and 1.9 ± 0.4 compared with 1.06 ± 0.2, 1.1 ± 0.4 and 1.2 ± 0.4 in the non-responder group, in the two-chamber, APLAX and four-chamber views, respectively. Similarly, the BVP/RVP ratio of the strain rate at active systolic phase (GSRs) was found to be significantly higher in the responder group compared with the non-responder group. The CRT responder group ratios were 1.9 ± 0.9% and 1.7 ± 0.4% compared with 1.0 ± 0.4% and 1.1 ± 0.2% in the non-responder group in the APLAX and four-chamber views, respectively. The results in the two-chamber view also showed a difference (1.5 ± 0.7% versus 0.78 ± 0.2%), although this was not statistically significant. These results show that no change between the pacing modalities, defined as a ratio of 0.9–1.1, corresponded with no future CRT response, while an increase in GS and GSRs ratio of over 1.4% correlated with a positive CRT response. In other words, measuring longitudinal GS and GSRs and comparing the results between RVP and BVP immediately after the implantation enabled CRT response prediction. This coincides well with the fact that better activation of the LV at early systole may increase overall LV strain. SDI measurement (the standard time deviation from the onset of the cardiac cycle to the minimum systolic volume) also showed predictive power regarding CRT responsiveness, mainly during assessments when the patients were not paced, as established by Lim et al.16

These new findings may support operators during the procedure. As the lead is placed according to the suggested site of latest mechanical activation, an intraprocedural echo may be conducted and the LV mechanical activation may be evaluated, thus allowing real-time estimation of the changes due to the different pacing modalities and optimal positioning of a single- or multipolar lead over the LV.

Unlike the BVP/RVP ratio, the MPP/RVP ratio was significant only in the apical two-chamber view. The fact that MPP did not reflect the pattern showed by the above measurements may not be surprising, as MPP-CRT responder and non-responder groups may differ after 6 months of MPP. Thus, if the patients had been paced differently, the response to pacing would be different, and so would the echocardiographic analysis.

Limitations

As this study was a sub-study of the multicentre MORE-CRT-MPP study, a limited number of patients with heart failure were enrolled.17 The small sample size in this preliminary study precludes general applicability of the findings at this stage. A further limitation was the low quality of longitudinal imaging due to patients’ body habitus, which hindered precise measurement and consequent calculations. Nonetheless, the results of this study represent an innovative way by which the cardiac functionality of patients with heart failure can be measured in real time with immediate applicability. Further research is required to corroborate the results of the current study, determine with greater precision the cutoff points, and generalize the predictive power of BVP/RVP ratio and SDI to diverse populations.

Conclusion

By using the BVP/RVP ratio, our study suggests a promising method of determining optimal placement of a pacing lead to ensure CRT responsiveness over time in patients with heart failure undergoing CRT. This study also supports earlier findings showing that SDI measured by echocardiography in patients with heart failure prior to CRT implantation may be useful for predicting CRT responsiveness in non-paced patients.

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References

  1. Malik A, Brito D, Vaqar S, Chhabra L. Congestive Heart Failure [Updated 2020 Jun 7]. Treasure Island, FL: StatPearls, 2020.
  2. Glikson M, Nielsen JC, Kronborg MB, et al. 2021 ESC guidelines on cardiac pacing and cardiac resynchronization therapy. Europace. 2022;24:71–164.
  3. Epstein AE, Dimarco JP, Ellenbogen KA, et al. 2012 ACCF/AHA/HRS focused update incorporated into the ACCF/AHA/HRS 2008 guidelines for device-based therapy of cardiac rhythm abnormalities: A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. Circulation. 2013;127:e283–352.
  4. Auricchio A, Abraham WT. Cardiac resynchronization therapy: Current state of the art. Cost versus benefit. Circulation. 2004;109:300–7.
  5. Leclercq C, Kass DA. Retiming the failing heart: Principles and current clinical status of cardiac resynchronization. J Am Coll Cardiol. 2002;39:194–201.
  6. Jarcho JA. Resynchronizing ventricular contraction in heart failure. N Engl J Med. 2005;352:1594–7.
  7. Leclercq C, Hare JM. Ventricular resynchronization: Current state of the art. Circulation. 2004;109:296–9.
  8. Burkhardt JD, Wilkoff BL. Interventional electrophysiology and cardiac resynchronization therapy: Delivering electrical therapies for heart failure. Circulation. 2007;115:2208–20.
  9. Daubert JC, Saxon L, Adamson PB, et al. 2012 EHRA/HRS expert consensus statement on cardiac resynchronization therapy in heart failure: Implant and follow-up recommendations and management. Europace. 2012;14:1236–86.
  10. Tomassoni G. How to define cardiac resynchronization therapy response. J Innov Card Rhythm Manag. 2016;7:S1–7.
  11. Hartlage GR, Suever JD, Clement-Guinaudeau S, et al. Prediction of response to cardiac resynchronization therapy using left ventricular pacing lead position and cardiovascular magnetic resonance derived wall motion patterns: A prospective cohort study. J Cardiovasc Magn Reson. 2015;17:57.
  12. Suffoletto MS, Dohi K, Cannesson M, et al. Novel speckle-tracking radial strain from routine black-and-white echocardiographic images to quantify dyssynchrony and predict response to cardiac resynchronization therapy. Circulation. 2006;113:960–8.
  13. Lim P, Buakhamsri A, Popovic ZB, et al. Longitudinal strain delay index by speckle tracking imaging: A new marker of response to cardiac resynchronization therapy. Circulation. 2008;118:1130–7.
  14. Omar AMS, Vallabhajosyula S, Sengupta PP. Left ventricular twist and torsion: Research observations and clinical applications. Circ Cardiovasc Imaging. 2015;8:e003029.
  15. Galli E, Leclercq C, Hubert A, et al. Role of myocardial constructive work in the identification of responders to CRT. Eur Heart J Cardiovasc Imaging. 2018;19:1010–18.
  16. Lim P, Donal E, Lafitte S, et al. Multicentre study using strain delay index for predicting response to cardiac resynchronization therapy (MUSIC study). Eur J Heart Fail. 2011;13:984–91.
  17. Leclercq C, Burri H, Curnis A, et al. Cardiac resynchronization therapy non-responder to responder conversion rate in the more response to cardiac resynchronization therapy with MultiPoint Pacing (MORE-CRT MPP) study: Results from phase I. Eur Heart J. 2019;40:2979–87.
  18. Zhang X, Ha S, Wang X, et al. Speckle tracking echocardiography: Clinical applications in cardiac resynchronization therapy. Int J Clin Exp Med. 2015;8:6668–76.
  19. Saba S, Marek J, Schwartzman D, et al. Echocardiography-guided left ventricular lead placement for cardiac resynchronization therapy results of the speckle tracking assisted resynchronization therapy for electrode region trial. Circ Heart Fail. 2013;6:427–34.
  20. Khan FZ, Virdee MS, Palmer CR, et al. Targeted left ventricular lead placement to guide cardiac resynchronization therapy: The TARGET study: A randomized, controlled trial. J Am Coll Cardiol. 2012;59:1509–18.
  21. Salden OAE, Zweerink A, Wouters P, et al. The value of septal rebound stretch analysis for the prediction of volumetric response to cardiac resynchronization therapy. Eur Heart J Cardiovasc Imaging. 2021;22:37–45.
  22. Ross S, Nestaas E, Kongsgaard E, et al. Septal contraction predicts acute haemodynamic improvement and paced QRS width reduction in cardiac resynchronization therapy. Eur Heart J Cardiovasc Imaging. 2020;21:845–52.
  23. DeVecchi F, Facchini E, Degiovanni A, et al. Acute contractile recovery extent during biventricular pacing is not associated with follow-up in patients undergoing resynchronization. Int J Cardiol Heart Vasc. 2016;11:66–73.
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Article Information

Disclosure

Shai Tejman-Yarden, Dor Hadida Barzilai, Offir Ertracht, Noa Bachner-Heinenzon, Stephan Bogdan, Uriel Katz, Sumit Chatterji, Efrat Mazor Dray, Yoav Bolkier, Michael Glikson and Roy Beinart have no financial or non-financial relationships or activities to declare in relation to this article.

Compliance With Ethics

This study was approved by the Sheba Medical Center institutional review board. All procedures were followed in accordance with the responsible committee on human experimentation and with the Helsinki Declaration of 1975 and subsequent revisions, and informed consent was received from all patients involved in this study.

Review Process

Double-blind peer review.

Authorship

The named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship of this manuscript, take responsibility for the integrity of the work as a whole, and have given final approval for the version to be published.

Correspondence

Shai Tejman-Yarden, MD MSc MBA, The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Derech Sheba 2, Ramat Gan, 5266202 Israel. E: tegmanya@gmail.com

Support

The study was funded by Abbot Laboratories. The views and opinions expressed are those of the authors and do not necessarily reflect those of Abbott Laboratories, who were not involved in the publication of this article.

Acknowledgements

For the Plain Language Summary, medical writing assistance was provided by Alex Lowe {independent medical writer) and was funded by Touch Medical Media Ltd.

Data Availability

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

Received

2021-11-25

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