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Original research article
Intraventricular flow patterns during right ventricular apical pacing
  1. Francesco Bianco1,2,
  2. Vincenzo Cicchitti1,
  3. Valentina Bucciarelli1,
  4. Alvin Chandra2,
  5. Enrico Di Girolamo3,
  6. Gianni Pedrizzetti4,
  7. Gianni Tonti1,
  8. Silvio Romano5,
  9. Raffaele De Caterina1 and
  10. Sabina Gallina1
  1. 1Institute of Cardiology, “G. d’Annunzio” University, Chieti, Italy
  2. 2Brigham and Women's Hospital, Boston, Massachusetts, USA
  3. 3Department of Cardiology, “S.S. Annunziata” Hospital, Chieti, Italy
  4. 4Department of Engineering and Architecture, University of Trieste, Trieste, Italy
  5. 5Institute of Cardiology, University of L’Aquila, L’Aquila, Italy
  1. Correspondence to Dr Francesco Bianco; dr.francescobianco{at}gmail.com

Abstract

Objectives To assess differences in blood flow momentum (BFM) and kinetic energy (KE) dissipation in a model of cardiac dyssynchrony induced by electrical right ventricular apical (RVA) stimulation compared with spontaneous sinus rhythm.

Methods We cross-sectionally enrolled 12 consecutive patients (mean age 74±8 years, 60% male, mean left ventricular ejection fraction 58%±6 %), within 48 hours from pacemaker (PMK) implantation. Inclusion criteria were: age>18 years, no PMK-dependency, sinus rhythm with a spontaneous narrow QRS at the ECG, preserved ejection fraction (>50%) and a low percentage of PMK-stimulation (<20%). All the participants underwent a complete echocardiographic evaluation, including left ventricular strain analysis and particle image velocimetry.

Results Compared with sinus rhythm, BFM shifted from 27±3.3 to 34±7.6° (p=0.016), while RVA-pacing was characterised by a 35% of increment in KE dissipation, during diastole (p=0.043) and 32% during systole (p=0.016). In the same conditions, left ventricle global longitudinal strain (LV GLS) significantly decreased from 17±3.3 to 11%±2.8% (p=0.004) during RVA-stimulation. At the multivariable analysis, BFM and diastolic KE dissipation were significantly associated with LV GLS deterioration (Beta Coeff.=0.54, 95% CI 0.07 to 1.00, p=0.034 and Beta Coeff.=0.29, 95% CI 0.02 to 0.57, p=0.049, respectively).

Conclusions In RVA-stimulation, BFM impairment and KE dissipation were found to be significantly associated with LV GLS deterioration, when controlling for potential confounders. Such changes may favour the onset of cardiac remodelling and sustain heart failure.

  • right ventricular pacing
  • cardiac dyssynchrony
  • blood flow momentum
  • intraventricular flow patterns
  • heart failure

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Key questions

What is already known about this subject?

  • In patients receiving permanent cardiac electrical stimulation, a high burden of right ventricular apical pacing is associated with an increased incidence of left ventricular dysfunction, mechanisms of which are not fully understood.

What does this study add?

  • This study has the potential to yield new insight and understanding of the pathophysiology of heart failure in dyssynchrony conditions: the consequent changes in blood flow motion and pressure gradients seem to contribute to energy dissipation, increasing cardiac walls shear stress.

How might this impact on clinical practice?

  • An in-depth study of intraventricular fluid dynamics is a new powerful tool for a complete pathophysiological understanding of mechanisms involved in pacing-related heart failure.

Introduction

Pacing-induced ventricular dysfunction, also termed pacing cardiomyopathy, usually refers to the manifestations of a significantly decreased left ventricular (LV) systolic function ascribable to the right ventricular apical (RVA) pacing.1 The prevalence of this condition varies from 9% at 1 year2 and up to 15% at 25 years,3 depending on the definitions used by authors. Due to the lack of definite recommendations about the optimal site for pacemaker (PMK) lead positioning, over time the RVA-stimulation has been the most frequently adopted.1

Alternative pacing sites, such as the right ventricular septum or right ventricular outflow tract, have been less implemented.4 However, the clinical disadvantages of the ‘apical approach’ for antibradycardia pacing therapies have been debated over the years.5 6

The recent 2018 ACC/AHA/HRS Guidelines, on the Evaluation and Management of Patients With Bradycardia and Cardiac Conduction Delay, recommend in patients with a LV ejection fraction (EF) (between 36% and 50%) and atrioventricular block, who have an indication for permanent pacing and are expected to require ventricular pacing >40% of the time, pacing techniques that provide more physiologic ventricular activation (ie, cardiac resynchronisation therapy (CRT) or His bundle pacing), instead of RVA-pacing, to prevent heart failure (HF).7 Despite such recommendations, a comprehensive pathophysiological understanding of RVA pacing-induced LV dysfunction is not yet currently available.4

Evidence has shown that specific patient populations may experience adverse effects with conventional RVA-pacing,8 even after implementing various algorithms to reduce unnecessary ventricular pacing.9 Conversely, it has been recently suggested that RVA-pacing may produce alterations in LV endocavitary blood flow motion,1 linking intraventricular flow patterns with LV dyssynchrony as a way to understand the pathophysiology of pacing cardiomyopathy. Flow patterns have also been able to guide the resynchronisation therapy,10 proposing a potential link with the conditions mentioned above.

We aimed at this background at characterising and quantifying LV blood flow (BF) differences in structurally normal hearts, during spontaneous sinus rhythm and RVA-pacing, a model of cardiac dyssynchrony induced by electrical stimulation. For our purposes, we used the echocardiographic particle imaging velocimetry (Echo-PIV): a relatively new echocardiographic emerging imaging technique, which allows intraventricular fluid dynamics evaluation and vorticity characterisation concerning blood flow momentum (BFM) and consequent kinetic energy (KE) dissipation.

Methods

Study population

We studied 60 patients in our Arrhythmology Department over a period of 6 months. All patients undergoing a PMK implantation due to sick sinus syndrome were considered eligible and evaluated within 48 hours after the implantation.

Inclusion criteria were: age>18 years, no-PMK dependency, baseline sinus rhythm and spontaneous narrow QRS complexes at the surface 12-leads-ECG; preserved EF (>50%) and a positioned apical right ventricular lead. A low percentage of ventricular stimulation (<20%) was also considered, in order to avoid any phenomenon of myocardial electrical memory.

Exclusion criteria were PMK dependency, any form of known allergy or prior adverse reactions to sonographic contrast agents or high echocardiographic probability of pulmonary arterial hypertension; any valvular disease from moderate-to-severe, history of coronary artery disease (previous acute myocardial infarction or chronic ischaemic heart disease) and treatment with drugs modulating the heart systolic function (ie, beta-blockers, calcium antagonists or amiodarone).

No selection was made about either the PMK brand or model or the catheters type.

Accordingly, 22 patients were excluded due to concomitant ischaemic or valvular heart disease; 16 were treated with cardioactive medications and 5 had a left/right bundle branch block on surface ECG. Three patients had poor acoustic windows, while two had a pacing-time >20% within 48 hours after implant. Thus, 12 patients constituted the final sample.

The local Ethics Committee approved the study protocol, and all participants provided written informed consent before enrolment.

Image acquisition and pacing protocols

Figure 1 summarises the acquisition protocol for echocardiographic images.

Figure 1

An outline of the study protocol. CAD, coronary artery disease; EF, ejection fraction; LV, left ventricle; PH, pulmonary hypertension; PMK, pacemaker; RV, right ventricle; SR, sinus rhythm.

All the examinations were conducted with a standard commercial ultrasound machine (Esaote MyLab30 Gold), provided with the Contrast Tuned Imaging (CnTI) software, and a phased array 3.5 MHz cardiac probe. For each participant were collected general echocardiographic characteristics regarding cardiac chambers volumes, and function, including diastolic function and LV global longitudinal strain analysis (GLS), according to the recommendations from the European Association of Cardiovascular Imaging (EACVI) guidelines.11

Our protocol included a 2 mL intravenous injection of a sonographic contrast agent (SonoVueTM, Bracco International, Amsterdam) administered through an 18–20-gauge intravenous catheter to avoid any fluid turbulence and the resulting contrast microbubble disruption. In order to visualise and quantify the patterns of BF motion from the LV inlet to the outflow, intraventricular flow images were acquired from the apical three-chamber view. All the movie clips were obtained during spontaneous sinus rhythm and subsequently during RVA-pacing.

For each patient, the minimum frequency of stimulation was used to induce the RVA-rhythm with a pacing stimulation in DDD mode, with sensed atrium and paced ventricle, in order to avoid any atrioventricular dyssynchrony.

Echo-PIV image analysis

All the movie clips were analysed offline using the Echo-PIV technique. For this purpose, we used the already validated HyperFlow (AMID, LTD) software for Microsoft Windows.12–14 The HyperFlow Echo-PIV method allows depicting and quantifying intracardiac flow paths, and the software can track the microbubbles and determine the relative instantaneous two-dimensional velocity vector. Using the Navier-Stokes equation, it is possible to derive several physical quantities: two-dimensional pressure gradient, BFM, geometrical parameters of diastolic vorticity and energetic indexes, as the KE-dissipation.14

Statistical analysis

At the best of our knowledge, the largest study that evaluated by means of Echo-PIV the effects of PMK stimulation enrolled 11 participants10; we enrolled 12 participants, and in both cases patients were at the same time case and controls, thus reducing the need for a more numerous sample.

All categorical variables were expressed as percentages, while continuous as mean and ±SD or median and IQR, as appropriate. For statistical processing and following previous studies,12–14 the variables were dimensionless and expressed in modules when analysed. Absolute changes for Echo-PIV variables were obtained by subtracting the RVA-pacing to the sinus rhythm value; those were subsequently normalised for the sinus rhythm value ((RVA-pacing-sinus rhythm)/sinus rhythm). Differences in continuous variables were assessed through Student’s t-test, while χ² for categorical.

A multivariable linear regression model was used to assess the Beta coefficients (Beta Coeff.) for changes in LV GLS between sinus rhythm and RVA-pacing. Model 1 was non-adjusted, while Model 2 was adjusted for PMK-induced heart-rate. Due to the small sample size, models were tested only for BFM, KE systolic/diastolic dissipation and LV end-systolic volume, and they should be considered as explorative for our hypothesis. According to the Kolmogorov-Smirnov test, variables not normally distributed were logarithmically transformed before entering the multivariable analysis. The interaction terms in regression analysis were also tested for KE dissipation, both systolic and diastolic, and BFM.

A two-tailed p value of 0.05 was considered statistically significant. All statistical analyses were performed with Stata V.14.1 (Stata, College Station, Texas, USA).

Results

General characteristics

A total of 12 participants (mean age 74±8 years, 60% male) were studied. General characteristics of the participants are presented in table 1.

Table 1

General characteristics

The median QRS duration was 111 ms (IQR, IQR, 115–120); the median PR duration was 135 ms (IQR, 130–135). Most (8/12) had systemic arterial hypertension, mainly treated with angiotensin receptors blockers and in therapy with antiplatelet agents, for primary cardiovascular prevention. Two subjects had type 2 diabetes; only one was treated with loop diuretics.

The mean EF was 58%±6%, while the mean tricuspid annular plane systolic excursion was 22±2 mm. Doppler-derived diastolic parameters were found between the normal ranges, considering the age of study participants (mean E/A 0.68±0.11, E/e’ 6.12±1.2).

Echocardiographic and global longitudinal strain analysis

Echocardiographic differences between sinus and RVA-pacing are shown in table 2.

Table 2

Echocardiographic and Echo-PIV differences according to pacing models

LV end-systolic volume indexed was slightly higher during RVA-pacing (28±6 to 29±6, p=0.039); consequently, LV ejection fraction resulted diminished when participants were RVA-paced (58±6 to 56±6, p=0.042). On the other hand, LV GLS significantly decreased from sinus rhythm to RVA-pacing, from 17±3.3 % to 11±2.8 %(p=0.004) (figure 2) .

Figure 2

GLS variations during sinus rhythm and RVA-pacing. GLS, global longitudinal strain; LV, left ventricle; PMK, pacemaker.

No other differences were found regarding echocardiographic parameters.

Blood flow analysis

A first substantial macroscopic difference was observed between BF models: spontaneous sinus rhythm and RVA-pacing (figure 3).

Figure 3

Examples of Echo-PIV derived polar histograms during sinus rhythm and RVA-pacing. The directional distribution of global momentum during the entire heart cycle is summarised regarding a polar histograms. This polar image gives a synthetic picture of the overall haemodynamic velocities associated with intraventricular blood flow motion identifying whether they are aligned along the base-apex direction (left) or they develop non-physiological transversal components (right). The parameter ‘blood flow momentum’ indicates the dominant orientation of the haemodynamic velocities (diastole and systole). During RVA-pacing there is an irregular vortex formation with local stagnation resulting in transversal velocities forces and loss of the physiological longitudinal orientation of the intraventricular velocities. Echo-PIV, echocardiographic particle velocity imaging; RVA, right ventricular apical.

During sinus rhythm, the formation of a vortex beneath the mitral annulus was documented in LV-diastole; it was functionally directed to the apex of the heart, in a base-to-apex direction. In systole, the flux was directed by the vortex to the LV outflow tract, in an apex-to-outflow path. The vortex motion pathways determined a very small angle with the imaginary line crossing the LV long axis. On the contrary, in PMK-model, there was a dysfunctional BF, resulting in multiple vortices formation, with a distribution of flow forces no longer physiologically directed in an apex-to-base direction, but towards the ventricular walls, determining a wider motion angle with LV long axis.

According to the macroscopic BF-changes in flux direction, BFM shifted from an angle of 27.47±3.3° to 34.43±7.6° (p=0.016), while due to the higher turbulence generated by the disturbance in the normal dynamics of diastolic vorticity, the KE-dissipation increased up to 35% during diastole, from 8.35±6.7 mJ to 11.26±8.7 mJ (p=0.043).(figure 4)

Figure 4

Histograms of KE variations during sinus rhythm and RVA-pacing. KE, kinetic energy; PMK, pacemaker; RV, right ventricle.

The KE-dissipation absolute change from the PMK-off to the PMK-on status was 3 mJ. The systolic KE-dissipation went up to 32.6%, from 7.11±3.3 to 9.43±5.3 (p=0.016),(figure 4) respectively, with an absolute change from the PM-off to the PM-on status by 2.3 mJ.

Cardiac predictors of left ventricle global longitudinal strain impairment

At the multivariable analysis (table 3), BFM and diastolic KE dissipation were independently associated with LV GLS impairment (Beta Coeff.=0.54, 95% CI (0.07, 1.00), p=0.034 and Beta Coeff.=0.29, 95% CI 0.002 to 0.57, p=0.049, respectively), even when adjusted for PMK-induced heart rate (Beta Coeff.=0.53, 95% CI 0.03 to 1.09, p=0.05).

Table 3

Echo-PIV correlates of left ventricle GLS impairment

In addition, a significant interaction was found between diastolic KE dissipation and BFM (Beta Coeff.=−1.55, 95% CI −3.21 to 0.98, p=0.05), but not with systolic KE dissipation (Beta Coeff.=−1.53, 95% CI −3.62 to 0.55, p=0.10).

In this way, for any given increment of LV GLS, it was estimated an absolute decrement of 0.54 total BFM variation, accompanied by a reduction in diastolic KE dissipation of 0.29 mJ. In other words, and according to our explorative model, the wider the angle, more transverse the direction of the forces (more lateral), the more the KE dissipation and the GLS impairment; on the contrary, a narrow-angle (smaller BFM) determined less KE dissipation and better LV GLS.

Discussion

The present study provides for the first time a detailed analysis of LV flow patterns during spontaneous sinus rhythm and RVA-pacing in structurally normal hearts. First of all, we measured a significant BFM shift, regarding the orientation of forces, from a physiological to a frankly pathological direction during RVA-stimulation. Remarkably, the presence of multiple dysfunctional vortexes, instead of a single functional one, accompanied these changes. Contextually, we measured an increased KE-dissipation during RVA-pacing. LV GLS showed a significant decrement when participants were RVA-paced, while the total BFM variation and the increment in diastolic KE dissipation, determined by RVA-pacing, were independently correlated with this LV GLS deterioration, even when adjusted for PMK-induced heart rate.

It is demonstrated that, when contracting in synchrony, myocardial walls lead to the formation of a LV vortex during diastole.14 This process permits a correct and functional LV BF motion through the LV outflow tract and the aorta, minimising the KE dissipation.15 On the contrary, PMK-induced dyssynchrony, especially during RVA-pacing, determines a biphasic electromechanical activation. It results in premature activation of a large portion of the interventricular septum, and the right ventricle (RV) outflow septal portion.16 In such conditions, the LV free wall significantly delays its shortening, with the development of significant interventricular and intraventricular dyssynchrony and reduced contraction/shortening.17

The stretching of myocardial fibres elicits local Frank-Starling mechanisms, which further delay the shortening of late-activated LV regions and impose a systolic stretch to early-activated ones.16 The RV/LV or LV alone dyssynchrony, as we demonstrated, produces multiple and dysfunctional LV intracavitary vortexes, a BFM shift, towards the septum and lateral walls, and a higher systolic and diastolic KE-dissipation, independently from heart rate.

LV GLS is a measure that assesses the degree of deformation for any studied cardiac segment and therefore is expressed as a percentage value.11 Within the LV longitudinal function, decreased values of GLS are indicative of a reduced shortening/compression of the studied object; on the contrary, incremented values prove a myocardial extension or expansion of LV chambers.11

We exploratively proved in this study a tight correlation between BFM and diastolic KE dissipation with LV GLS impairment (reduced shortening/compression), with an interaction term between diastolic KE dissipation and BFM towards LV GLS decrement; these data suggest a potential pathophysiological mechanism of wall stress and BF sheering. In other words, diastole prepares the systole, preventing KE dissipation. If dyssynchrony alters this process, it may potentially enhance cardiac inflammation, amplify matrix metalloproteinase expression and increase their activity through a macrophage-mediated activation process.18 If not physiologically restored, a wide BFM and augmented KE dissipation, in the presence of cardiac wall dyssynchrony, may lead over time to LV remodelling and HF.1 18

Pathophysiological implications

The study of average LV BF has the potential to yield new insight and understanding of the pathophysiology of HF in dyssynchrony conditions. In human hearts, altered BF patterns, associated with abnormal stretching and contraction of LV walls, may lead to myocardial remodelling. In fact, the consequent changes in BFM and pressure gradients may contribute to energy dissipation, increasing the LV walls shear stress. The latter combination, as seen in animal models, is also associated with increased levels of natriuretic peptides,19 and may lead to, and sustain, a slow and subclinical myocardial remodelling, involving local inflammation and metalloproteinase activation.20

These experimental interpretations, combined with data from observational studies, support the concept that dyssynchrony is associated with an increased incidence of HF. The investigators of the Mode Selection Trial (MoST), in a dedicated substudy, established a causal link between a high burden of ventricular pacing and HF hospitalisations.5 These observations suggest the occurrence of several mechanisms, not yet understood entirely,1 but partially quantifiable using the Echo-PIV flow assessment.

BF dysfunctional patterns are also modified by effective CRT, hinting at potential, new and functional relations between BF patterns and dyssynchrony.10 To date, the prognostic role of Echo-PIV is not yet established and need further investigations to be defined, but Echo-PIV may currently target a specific HF drug therapy response or CRT multipacing optimisation.

Limitations

The most important limitation of our study is the small population observed. Even if following the previous literature, our results need to be confirmed in larger and more varied cohorts. Also, strict precautions were taken in scanning both the mitral and the aortic valve in the same plane, considered approximately representative of the main BF properties. Nevertheless, the possibility of missing important three-dimensional (3D) flow features remains. However, the relatively low frame rate of 3D-echo imaging to date does not allow precise and accurate analysis of LV flow dynamics, compared with 2D imaging, that we used.

On the other hand, the strength of our study was to enrol a very selected population, thus reducing as much as possible the influence of confounding factors. In addition, the analysis was repeated on the same subject during sinus rhythm and RVA-pacing considerably minimising the need for a bigger sample size.

Conclusion

In a small cohort of high selected structural normal hearts, undergoing a PMK implantation due to sick sinus syndrome, markers of LV BF impairment, induced by electrical RVA-stimulation, were found to be significantly associated with LV GLS impairment, even when controlling for potential confounders. These observations suggest a crucial role of BFM, assessed by means of Echo-PIV, in BF dysfunctional patterns characterisation. In the presence of PMK-induced dyssynchrony, KE dissipation seems to be markedly increased as a consequence of BFM shift, from functional to dysfunctional BF patterns. If confirmed by similar future analyses, serial monitoring of BFM changes over time might allow quantitative information on LV pump efficiency, drive HF drug therapy and guide CRT optimisation.

Acknowledgments

Special thanks to Marziale Marchetti, M.D., Francesco Radico, M.D. and Manuel Conti, M.D. for their help in data acquisition.

References

  1. 1.
  2. 2.
  3. 3.
  4. 4.
  5. 5.
  6. 6.
  7. 7.
  8. 8.
  9. 9.
  10. 10.
  11. 11.
  12. 12.
  13. 13.
  14. 14.
  15. 15.
  16. 16.
  17. 17.
  18. 18.
  19. 19.
  20. 20.

Footnotes

  • FB and VC contributed equally.

  • Collaborators Marziale Marchetti; Francesco Radico; Manuel Conti.

  • Contributors FB and VC designed the study and drafted the manuscript. FB performed the statistical analysis. VB and AC revised the manuscript and contributed to the analysis and interpretation of the data. EDG contributed to clinical evaluation and support to the recruitment of patients. GP and GT were involved in critical revision and data interpretation. RDC, SR and SG revised the final manuscript and supported the study design.

  • Funding This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement All data relevant to the study are included in the article or uploaded as supplementary information.