Conduction left-to-right and right-to-left across the crista terminalis

Pathophysiology of Typical Atrial Flutter

Nowadays, the pathophysiology mechanism of initiation and maintenance of reentrant arrhythmias, including atrial flutter, is well characterized. However, the anatomic and functional elements of the macro reentrant arrhythmias are not always well defined. In this article, we illustrate the anatomic structures that delineate the typical atrial flutter circuit, both clockwise and counterclockwise, paying attention to the inferior vena cava-tricuspid isthmus (CTI) and crista terminalis crucial role. Finally, we describe the left atrial role during typical atrial flutter, electrophysiologically a by-stander but essential in the phenotypic electrocardiogram (ECG).

Reconsidering the multiple wavelet hypothesis of atrial fibrillation

BACKGROUND

Moe and Abildskov proposed the multiple wavelet hypothesis of atrial fibrillation (AF) on the basis of observations in the canine vagal nerve stimulation (VNS) AF model. Data from mapping studies in an in vitro canine AF model by Allessie et al (Allessie MA, Lammers WJEP, Bonke FIM, Hollen SJ. Experimental evaluation of Moe's multiple wavelet hypothesis of atrial fibrillation. In: Zipes DP, Jalife J, eds. Cardiac Electrophysiology and Arrhythmias. Orlando, FL: Grune & Stratton; 1985:265-275.) were used to evaluate the Moe/Abildskov hypothesis, which revealed that a critical number of wavelets sustained AF.

OBJECTIVE

The purpose of this study was to reassess VNS mapping data using the same methods used by Allessie to evaluate Moe's multiple wavelet hypothesis.

METHODS

Using the canine VNS AF model in 6 dogs, 510 unipolar atrial electrograms were recorded simultaneously from both atria. Activation sequence maps were produced from sustained AF during VNS in each dog. Per Allessie, consecutive 10 ms activation windows were analyzed over a period of 300 ms. Repetitive activation analysis was applied to Moe's canine VNS AF model.

RESULTS

The number of wavefronts in each AF episode was 0-8 in Allessie's studies measured by sequential atrial mapping and 0-10 in our biatrial simultaneous mapping studies. In both studies, an electrically silent period was observed in each atrium and was reactivated by wavefronts emanating from focal sources. Allessie postulated that an electrically silent atrium was reactivated by a wavefront propagating from the other atrium. However, in our biatrial simultaneous mapping studies, each electrically silent atrium was reactivated by a distinct focal source.

CONCLUSION

Data from both studies showed a similar number of wavefronts, similar AF activation patterns, and periods of electrical atrial silence reactivated by focal sources. Also, in our studies, independent focal sources initiated wavefronts reactivating the atria, thereby explaining the mechanism maintaining AF.

Insights into new-onset atrial fibrillation following open heart surgery and implications for type II atrial flutter

AIMS

Postoperative atrial fibrillation (POAF), new-onset AF after open heart surgery (OHS), is thought to be related to pericarditis. Based on AF studies in the canine sterile pericarditis model, we hypothesized that POAF in patients after OHS may be associated with a rapid, regular rhythm in the left atrium (LA), suggestive of an LA driver maintaining AF. The aim of this study was to test the hypothesis that in patients with POAF, atrial electrograms (AEGs) recorded from at least one of the two carefully selected LA sites would manifest a rapid, regular rhythm with AEGs of short cycle length (CL) and constant morphology, but a selected right atrial (RA) site would manifest AEGs with irregular CLs and variable morphology.

METHODS AND RESULTS

In 44 patients undergoing OHS, AEGs recorded from the epicardial surface of the RA, the LA portion of Bachmann's bundle, and the posterior LA during sustained AF were analysed for regularity of CL and morphology. Sustained AF occurred in 15 of 44 patients. Atrial electrograms were recorded in 11 of 15 patients; 8 of 11 had rapid, regular activation with constant morphology recorded from at least one LA site; no regular AEG sites were present in 3 of 11 patients.

CONCLUSIONS

Atrial electrograms recorded during sustained POAF frequently demonstrated rapid, regular activation in at least one LA site, consistent with a driver maintaining AF.

High density mapping of atrial fibrillation during vagal nerve stimulation in the canine heart: restudying the Moe hypothesis

INTRODUCTION

Moe et al. hypothesized that multiple wavelets (random reentry) were the mechanism of atrial fibrillation (AF) based on studies in a vagal nerve stimulation (VNS) canine model and a computer model of AF, but atrial mapping during AF in this model has not been done. We restudied this model using high density, simultaneous site mapping to test the hypothesis that AF was due to multiple wavelets.

METHODS AND RESULTS

During pacing induced AF during VNS in 10 dogs, 512 unipolar atrial electrograms were recorded simultaneously from both atria. AF activation maps were produced including through AF termination after VNS cessation. During sustained AF, multiple foci (persistent and transient) of different cycle lengths (CLs) were present in both atria. Persistent foci of short (mean 112 ± 25 milliseconds), regular (standard deviation 5.3 ± 3 milliseconds) CLs were predominantly found in the left atria, near the pulmonary veins and coronary sinus. Both types of foci acted as drivers, and each produced wave fronts that largely resulted in collision or merging with each other at variable sites. No random reentry (multiple wavelets) was demonstrated. Ordered reentry (circus movement with head-tail interaction) was infrequently seen. With cessation of VNS, focal firing slowed and disappeared, followed by resumption of sinus rhythm after a prolonged pause.

CONCLUSIONS

In contrast to the prediction of the multiple wavelet hypothesis, during AF in the Moe model, multiple foci drove the atria, producing and maintaining AF. Reentry played little, if any, role.

An algorithm to measure beat-to-beat cycle lengths for assessment of atrial electrogram rate and regularity during atrial fibrillation

INTRODUCTION

Experimental models have demonstrated that atrial fibrillation (AF) may be due to one or more rapid drivers (source) producing AF. These drivers may be characterized by rapid and regular cycle lengths (CLs), producing fibrillatory conduction to the rest of the atria. The ability to reliably identify such drivers would be invaluable. The purpose of this study was to develop and validate a CL variability detection (CLVD) analysis capable of accurately determining beat-to-beat CLs of atrial electrograms (AEGs) during AF, and then to compare this analysis with dominant frequency (DF) analysis.

METHODS AND RESULTS

We analyzed 6 episodes of AF in 6 dogs (sterile pericarditis model) due either to a single, stable left atrial reentrant circuit, or unstable reentrant circuits causing fibrillatory conduction to the rest of the atria. During AF, AEGs were recorded simultaneously from 400 to 420 electrodes on both atria. CLs from over 20,000 AEGs were manually measured, and compared to CLs detected using both the CLVD and DF analyses. There was significant correlation between (1) CLs measured manually and the CLVD analysis (mean CL: correlation coefficient [CC]= 0.96, standard deviation [SD]: CC = 0.89); and (2) mean CL measured manually and the DF analysis (CC = 0.84). However, there was poor correlation between SD of CLs measured manually and the organization index (OI) by DF analysis (CC =-0.59).

CONCLUSION

The CLVD analysis was validated as being accurate for detecting both rate and degree of regularity of AEGs during AF, and more accurate than DF analysis.

Electrophysiologic characteristics of the Crista terminalis and implications on atrial tachycardia in rabbits

The objective of this study was to evaluate the electrophysiologic characteristics of Crista terminalis (CT) and their implication in the pathogenesis of atrial tachycardia in rabbits. For this purpose, 27 New Zealand rabbits were used. Using standard glass microelectrode technique, cellular action potentials (APs) of CT and pectinate muscle (PM) were recorded in normal Tyrode's perfusion and Tyrode's perfusion with 4 μM isoproterenol. Longitudinal conduction velocity (V(L)) and transverse conduction velocity (V(T)) of CT were measured. As our data show, CT tissue had a trend of spontaneous phase IV depolarization. Conduction anisotropy (V(L)/V(T)) of CT was 4.53 ± 0.91. The duration of the AP of CT was longer than that of PM cells. APD(20) and APD(90) for CT were 28.1 ± 3.5 and 145.3 ± 7.1 ms; and for PM cells were 21.8 ± 4.1 and 125.3 ± 6.3 ms, respectively (all P values < 0.01). The early and delayed action depolarizations were recorded after isoproterenol perfusion. A fast paroxysmal irregular rhythm was recorded which could be arrested by 0.1 mmol/l Isoptin. It was, therefore, concluded that the latent autorhythmicity, trigger activity, and conduction properties of CT might provide the electrophysiologic basis for the occurrence and sustenance of atrial arrhythmia.

Pathophysiological mechanisms of atrial fibrillation: a translational appraisal

Atrial fibrillation (AF) is an arrhythmia that can occur as the result of numerous different pathophysiological processes in the atria. Some aspects of the morphological and electrophysiological alterations promoting AF have been studied extensively in animal models. Atrial tachycardia or AF itself shortens atrial refractoriness and causes loss of atrial contractility. Aging, neurohumoral activation, and chronic atrial stretch due to structural heart disease activate a variety of signaling pathways leading to histological changes in the atria including myocyte hypertrophy, fibroblast proliferation, and complex alterations of the extracellular matrix including tissue fibrosis. These changes in electrical, contractile, and structural properties of the atria have been called "atrial remodeling." The resulting electrophysiological substrate is characterized by shortening of atrial refractoriness and reentrant wavelength or by local conduction heterogeneities caused by disruption of electrical interconnections between muscle bundles. Under these conditions, ectopic activity originating from the pulmonary veins or other sites is more likely to occur and to trigger longer episodes of AF. Many of these alterations also occur in patients with or at risk for AF, although the direct demonstration of these mechanisms is sometimes challenging. The diversity of etiological factors and electrophysiological mechanisms promoting AF in humans hampers the development of more effective therapy of AF. This review aims to give a translational overview on the biological basis of atrial remodeling and the proarrhythmic mechanisms involved in the fibrillation process. We pay attention to translation of pathophysiological insights gained from in vitro experiments and animal models to patients. Also, suggestions for future research objectives and therapeutical implications are discussed.

Animal models for atrial fibrillation: clinical insights and scientific opportunities

Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. A variety of animal models have been used to study the pathophysiology of AF, including molecular basis, ion-current determinants, anatomical features, and macroscopic mechanisms. In addition, animal models play a key role in the development of new therapeutic approaches, whether drug-based, molecular therapeutics, or device-related. This article discusses the various types of animal models that have been used for AF research, reviews the principle mechanisms governing atrial arrhythmias in each model, and provides some guidelines for model selection for various purposes.

The undetermined geometrical factors contributing to the transverse conduction block of the crista terminalis

BACKGROUND

The crista terminalis (CT) is known to be a functional barrier during typical atrial flutter (AFL). The relationship between the CT structural characteristics and its transverse conduction block, however, has not been understood well.

METHODS

This study consisted of AFL (group 1, N = 15) and non-AFL patients (group 2, N = 13). The CT structural characteristics were determined with intracardiac echocardiography. A 20-pole electrode catheter was located along the CT and pacing at progressively faster rates from either low anterolateral right atrium (LRA) or coronary sinus (CS) was applied.

RESULTS

The CT height, width, and area were significantly greater in group 1 than in group 2 (P < 0.001). In both groups, at the longest pacing cycle length during CS pacing resulting in CT transverse conduction block at some levels, the width and area were significantly greater at the levels with block than at those without block. During LRA pacing, the area was also significantly larger at the levels with block than at those without in group 1, but not in group 2. The slope angle of CT ridge was significantly steeper at the levels with block than at those without in both groups (P < 0.01), but that was not the case with CS pacing. CT arborization in its inferior portion was more frequently documented in group 1 than group 2 (P < 0.05).

CONCLUSIONS

The CT structural characteristics that may influence its transverse conduction differ between LRA and CS pacing. Steep slope and arborization of the CT are implicated as a geometric factor in its transverse conduction block.

Structure specific models of electrical function in the right atrial appendage

Atrial fibrillation is the most common cardiac arrhythmia. It is prevalent in the elderly and contributes to mortality in congestive heart failure. Computer models of atrial electrical activation that incorporate realistic structure provide a means of investigating the mechanisms that initiate and maintain reentrant atrial arrhythmia. We are extending computational and experimental techniques that are well established in our laboratory to develop a detailed structure-based model of atrial electrical function. The 3D geometry of the atria and veno-atrial junctions is reconstructed from magnetic resonance images and detailed structure from specific regions of the atria is acquired using a semi-automated extended-volume imaging system. As an example of our approach, we present a reconstruction of the pig right atrial appendage (RAA), including the pectinate muscles (PM) and crista terminalis (CT). The RAA was embedded in wax and the block surface was serially etched, stained and imaged, then removed using an ultramiller to produce a uniformly-spaced image stack. Tissue was segmented and connected voxels were selected using a 3D region-growing algorithm to construct RAA geometry. Electrical activity has been modeled on this structure using the Courtemanche atrial cell activation model. A bidomain formulation was used employing a grid-based finite element solver. The RAA was activated by applying a stimulus (150 microA/mm3, 5 ms) to the 27 grid points at the top of the CT. Despite the complex structure of the PM, RAA activation was relatively uniform.

Frequency analysis of atrial electrograms identifies conduction pathways from the left to the right atrium during atrial fibrillation-studies in two canine models

Studies of atrial fibrillation (AF) have demonstrated that a stable rhythm of very short cycle length in the left atrium (LA) can cause fibrillatory conduction in the rest of the atria. We tested the hypothesis that fast Fourier transform (FFT) analysis of atrial electrograms (AEGs) during this AF will rapidly and reliably identify LA-to-right atrium (RA) conduction pathway(s) generated by the driver.

METHODS AND RESULTS

During induced atrial tachyarrhythmias in the canine sterile pericarditis and rapid ventricular pacing-induced congestive heart failure models, 380-404 AEGs were recorded simultaneously from epicardial electrodes on both atria. FFT analysis of AEGs during AF demonstrated a dominant frequency peak in the LA (driver), and multiple frequency peaks in parts of the LA and the most of the RA. Conduction pathways from the LA driver to the RA varied from study-to-study. They were identified by the presence of multiple frequency peaks with one of the frequency peaks at the same frequency as the driver, and traveled (1) inferior to the inferior vena cava (IVC); (2) between the superior vena cava and the right superior pulmonary vein (RSPV); (3) between the RSPV and the right inferior pulmonary vein (RIPV); (4) between the RIPV and the IVC; and (5) via Bachmann's bundle. Conduction pathways identified by FFT analysis corresponded to the conduction pathways found in classical sequence of activation mapping. Computation time for FFT analysis for each AF episode took less than 5 minutes.

CONCLUSION

FFT analysis allowed rapid and reliable detection of the LA-to-RA conduction pathways in AF generated by a stable and rapid LA driver.

A tissue-specific model of reentry in the right atrial appendage

INTRODUCTION

Atrial fibrillation is prevalent in the elderly and contributes to mortality in congestive heart failure. Development of computer models of atrial electrical activation that incorporate realistic structures provides a means of investigating the mechanisms that initiate and maintain reentrant atrial arrhythmia. As a step toward this, we have developed a model of the right atrial appendage (RAA) including detailed geometry of the pectinate muscles (PM) and crista terminalis (CT) with high spatial resolution, as well as complete fiber architecture.

METHODS AND RESULTS

Detailed structural images of a pig RAA were acquired using a semiautomated extended-volume imaging system. The generally accepted anisotropic ratio of 10:1 was adopted in the computer model. To deal with the regional action potential duration heterogeneity in the RAA, a Courtemanche cell model and a Luo-Rudy cell model were used for the CT and PM, respectively. Activation through the CT and PM network was adequately reproduced with acceptable accuracy using reduced-order computer models. Using a train of reducing cycle length stimuli applied to a CT/PM junction, we observed functional block both parallel with and perpendicular to the axis of the CT.

CONCLUSION

With stimulation from the CT at the junction of a PM, we conclude: (a) that conduction block within the CT is due to a reduced safety factor; and (b) that unidirectional block and reentry within the CT is due to its high anisotropy. Regional differences in effective refractive period do not explain the observed conduction block.

Prednisone prevents inducible atrial flutter in the canine sterile pericarditis model

BACKGROUND

Atrial fibrillation (AF) and atrial flutter (AFL) are common following cardiac surgery and are associated with significant morbidity. We tested the hypothesis that suppression of the inflammatory response with steroids would significantly modify the inducibility of postoperative AF/AFL in the canine sterile pericarditis model.

METHODS

Twenty-three dogs were studied daily from creation of pericarditis to the fourth postoperative day: 11 dogs were treated with oral prednisone (PRED) starting 2 days preoperatively until the end of the study; 12 dogs were controls (CON). EP testing was performed daily using epicardial electrodes placed at initial surgery. High-resolution (404 sites) epicardial mapping was performed during the terminal study. Baseline and daily CRP levels were obtained in all dogs.

RESULTS

Sustained AFL was absent in PRED (0%) versus CON dogs (91%; P < 0.001); AF induced in the early postoperative course in PRED dogs was of very short CL (mean 66 ms). Tissue inflammation was significantly attenuated in PRED dogs. Thresholds were lower in PRED versus CON dogs, significantly so on postoperative day (POD) 3. There was a trend toward lower ERPs in the PRED group at all CLs. CRP levels were markedly reduced in PRED versus CON dogs (peak CRP 78 +/- 7 mg/L vs 231 +/- 21 mg/L, P < 0.001), and returned to baseline in PRED dogs by POD 4, correlating with a virtual absence of sustained arrhythmia. During open chest mapping studies on POD 4, PRED dogs showed only nonsustained AF/AFL.

CONCLUSIONS

Prednisone eliminated postoperative AFL, affected all EP parameters studied, and attenuated the inflammatory response associated with pericarditis.

Effects of sterile pericarditis on connexins 40 and 43 in the atria: correlation with abnormal conduction and atrial arrhythmias

The canine sterile pericarditis model is characterized by impaired conduction and atrial arrhythmia vulnerability. Electrical and structural remodeling processes caused by the inflammatory response likely promote these abnormalities. In the present study, we tested the hypothesis that altered distribution of atrial connexins is associated with markedly abnormal atrial conduction, thereby contributing to vulnerability to atrial flutter (AFL) and atrial fibrillation (AF) induction and maintenance. During rapid pacing and induced, sustained AFL or AF in five sterile pericarditis (SP) and five normal (NL) dogs, epicardial atrial electrograms were recorded simultaneously from both atria (380 electrodes) or from the right atrium (RA) and Bachmann's bundle (212 electrodes). Tissues from RA sites were subjected to immunostaining and immunoblotting to assess connexin (Cx) 40 and Cx43 distribution and expression. Transmural myocyte (alpha-actinin) and fibroblast (vimentin) volume were also assessed by immunostaining. RA pacing maps showed markedly abnormal conduction in SP, with uniform conduction in NL. Total RA activation time was significantly prolonged in SP vs. NL at 300-ms and 200-ms pacing-cycle lengths. Sustained arrhythmias were only inducible in SP [total: 4/5 (AFL: 3/5; AF: 1/5)]. In NL, Cx40, Cx43, alpha-actinin, and vimentin were homogeneously distributed transmurally. In SP, Cx40, Cx43, and alpha-actinin were absent epicardially, decreased midmyocardially, and normal endocardially. SP increased epicardial vimentin expression, suggesting fibroblast proliferation. Immunoblot analysis confirmed reduced expression of Cx40 and Cx43 in SP. The transmural gradient in the volume fraction of Cx40 and Cx43 in SP is associated with markedly abnormal atrial conduction and is likely an important factor in the vulnerability to induction and maintenance of AFL/AF in SP.

Mapping of atrial activation during sustained atrial fibrillation in dogs with rapid ventricular pacing induced heart failure: evidence for a role of driver regions

INTRODUCTION

Dogs with rapid ventricular pacing (RVP)-induced congestive heart failure (CHF) have inducible atrial tachycardia, flutter, and fibrillation (AF). We tested the hypothesis that rapid atrial activation in multiple regions and at different rates is responsible for sustained AF in this CHF model.

METHODS AND RESULTS

We studied 12 episodes of sustained (>10 minutes) AF induced in 12 dogs with CHF produced by 3-6 weeks of RVP at 230 beats/minute. High-density mapping of AF was performed using 382 unipolar atrial electrograms recorded simultaneously from epicardial electrodes on the right (RA) and left atria (LA) and Bachmann's bundle. AF mechanisms were based on Fast Fourier Transform (FFT) analysis and activation sequence mapping. A driver was defined as a rapid stable activation region with a single dominant frequency peak in FFT analysis. During AF, three FFT and activation patterns were seen: (1) a single LA driver (7.8 +/- 1.1 Hz) near the pulmonary veins (PVs) with irregular activation in the rest of the atria (n = 4); (2) simultaneous, multisite, biatrial drivers at differing frequencies (LA vs RA dominant frequency gradient: 1.3 +/- 0.8 Hz) near the PVs (8.4 +/- 0.3 Hz) and high RA (8.5 +/- 1.5 Hz) (n = 7); and (3) biatrial irregular activation with multiple and/or broadband frequency peaks without a dominant frequency. (LA: 7.1-11.4 Hz; RA: 5.9-7.7 Hz) (n = 1). Atrial drivers had either a focal activation pattern or were due to a macroreentrant circuit around the PVs.

CONCLUSIONS

In this CHF model, FFT analysis and activation sequence mapping demonstrate that sustained AF is characterized by single and multiple, stable LA and RA drivers with predominant sources in the PVs and high RA causing fibrillatory conduction.

Use of Fast Fourier Transform Analysis of Atrial Electrograms for Rapid Characterization of Atrial Activation-Implications for Delineating Possible Mechanisms of Atrial Tachyarrhythmias

INTRODUCTION

Different analysis techniques have been developed to help understand and characterize the mechanisms responsible for atrial arrhythmias. We tested the hypothesis that Fast Fourier Transform (FFT) analysis of recorded atrial electrograms (AEGs) will rapidly and accurately identify regular and irregular patterns of atrial activation, and, thereby, may provide evidence suggestive of underlying mechanisms of atrial tachyarrhythmias.

METHODS AND RESULTS

During induced atrial tachyarrhythmias in both the canine sterile pericarditis model and canine rapid ventricular pacing-induced congestive heart failure model; 380-404 AEGs were recorded simultaneously from epicardial electrodes on both atria. From AEGs, atrial activation sequences were determined during atrial flutter (AFL), focal atrial tachycardia (AT), and atrial fibrillation (AF). Four-second recording segments of each AEG were subjected to FFT analysis. Frequencies found during FFT analyses in all studies precisely corresponded to the cycle lengths of the AEGs. In AFL and AT, one dominant frequency peak was found throughout both atria. In AF due to multiple unstable reentry circuits, multiple and broad frequency peaks were found in both atria. In AF due to a stable rapid rhythm (driver) in the left atrium with fibrillatory conduction to the rest of the atria, one dominant frequency peak in areas with 1:1 conduction from the driver, and multiple and/or broad frequency peaks in areas with fibrillatory conduction produced by the driver were found. Computation time for all FFT analyses took <5 minutes.

CONCLUSION

FFT analysis accurately and rapidly identifies global atrial activation patterns during AFL, AT, and AF, thereby assisting in determining arrhythmia mechanisms.

The interrelationship between atrial fibrillation and atrial flutter

For a long time, it has been known that atrial fibrillation and atrial flutter have a close clinical interrelationship. Recent electrophysiological studies, especially mapping studies, have significantly advanced our understanding of this interrelationship. Regarding the relationship of atrial fibrillation with atrial flutter: Atrial fibrillation of variable duration precedes the onset of atrial flutter in almost all instances. During the atrial fibrillation, the functional components needed to complete the atrial flutter reentrant circuit, principally a line of block between the venae cavae, are formed. If this line of block does not form, classical atrial flutter does not develop. If this line of block shortens or disappears, classical atrial flutter disappears. In fact, it is fair to say that the major determinant of whether atrial fibrillation persists or classical atrial flutter develops is whether a line of block forms between the venae cavae. Regarding the relationship of atrial flutter with atrial fibrillation: Studies in experimental models and now in patients have demonstrated that a driver (a rapidly firing focus or a reentrant circuit of very short cycle length) can cause atrial fibrillation by producing fibrillatory conduction to the rest of the atria. When the driver is a stable reentrant circuit of very short cycle length, it is, in effect, a very fast form of atrial flutter. There probably is a spectrum of reentrant circuits of short cycle length, i.e., "atrial flutter," that depend, in part, on where the reentrant circuit is located. When the cycle length of the reentrant circuit is so short that it will only activate small portions of the atria in a 1:1 manner, the rest of the atria will be activated rapidly but irregularly, i.e., via fibrillatory conduction, resulting in atrial fibrillation. In short, there are probably several mechanisms of atrial fibrillation, one of which is due to a very rapid atrial flutter circuit causing fibrillatory conduction. In sum, atrial fibrillation and atrial flutter have an important interrelationship.

Interatrial Electrical Connections: The Precise Location and Preferential Conduction

BACKGROUND

The atria are assumed to be connected electrically to each other at the level of the Bachmann's bundle, coronary sinus (CS) musculature, and interatrial septum, and these connections may have an important role in the interatrial conduction and perpetuation of various types of atrial tachyarrhythmias. However, the number, location, and preferential connections of the interatrial conduction related to the site of activation have not been examined yet.

METHODS

The endocardium of both atria and the CS were mapped during continuous pacing from the left superior and inferior pulmonary veins, right pulmonary veins, upper and lower right atrium, or right atrial septum at various paced cycle lengths in 14 canines. The electrograms were recorded by custom-made form-fitted electrodes mounted on a specially designed device that allowed the septal aspects of the electrode forms to be spatially fixed to each other accurately.

RESULTS

Four distinct interatrial electrical connections were identified at the Bachmann's bundle, CS, and antero-superior and postero-inferior septa. Decremental conduction was not seen in any of the connections. Bachmann's bundle was the most preferential connection during pacing from any epicardial site. The transseptal connections were evident only during pacing from the interatrial septum. The preference among the four connections was determined by the site of stimulation and the propagation of the activation related to the myocardial architecture.

CONCLUSION

These unique preferential connections may play a significant role in the interatrial conduction and perpetuation of atrial tachyarrhythmias.

Right Atrial Tachycardia in a Patient with Severe Atrial Conduction Disturbances and an Anatomically Normal Heart

We describe a case of abnormal right atrial (RA) conduction in a patient with atrial tachycardia (AT) but no history of structural heart disease or cardiac surgery. Following ablation of AT, the patient experienced typical atrial flutter (AFL) and a postcardioversion ECG suggestive of low atrial rhythm. Repeat EPS and three-dimensional electroanatomic activation mapping showed unusual RA activation during SR. This case illustrates the possibility that abnormal intraatrial conduction may lead to unusual patterns of activation in the RA which can serve as a necessary substrate for the initiation and maintenance of macro-reentry circuits.

Rate-Dependent Block in the Sinus Venosa of the Swine Heart during Transverse Right Atrial Activation: Correlation Between Electrophysiologic and Anatomic Findings

Rate-dependent block in the sinus venosa.

INTRODUCTION

Whether the crista terminalis or the sinus venosa result in rate-dependent block during transverse activation of the right atrial activation remains unknown. In the present study, right atrial activation at different cycle lengths was studied in the swine heart using high-resolution noncontact mapping (Endocardial Solutions). The location of the block was tagged and correlated with postmortem anatomical findings.

METHODS AND RESULTS

Eight pigs were studied using noncontact mapping to obtain right atrial geometry and detailed sequence of activation using noncontact endocardial mapping. During sinus rhythm, activation proceeded uninterrupted craniocaudally along the sinus venosa and crista terminalis with similar conduction velocities (1.08+/-0.17 and 1.17+/-0.14 m/sec, respectively). Proximal coronary sinus stimulation was used to create transverse activation of the posterior right atrial wall. A rate-dependent decrease in conduction velocity occurred in the sinus venosa region (0.93+/-0.21, 0.82+/-0.14, and 0.52+/-0.09 m/sec at 500, 400, and 300 ms, respectively; P<0.05). The line of block verified by isopotential mapping and double potentials was obtained at cycle lengths of 240+/-30 ms. This line of the block was tagged with radiofrequency current lesions. Postmortem, all lesions were located in the sinus venosa region, 9.8+/-4.1 mm from the posteromedial edge of the crista terminalis. This region showed abrupt changes in muscle fiber thickness and orientation as well as in collagen content.

CONCLUSIONS

The sinus venosa and not the crista terminalis results in a rate-dependent line of block during transverse right atrial activation. The morphologic characteristics of the sinus venosa appear to facilitate block in this region.

Noninvasive electrocardiographic imaging for cardiac electrophysiology and arrhythmia

Over 7 million people worldwide die annually from erratic heart rhythms (cardiac arrhythmias), and many more are disabled. Yet there is no imaging modality to identify patients at risk, provide accurate diagnosis and guide therapy. Standard diagnostic techniques such as the electrocardiogram (ECG) provide only low-resolution projections of cardiac electrical activity on the body surface. Here we demonstrate the successful application in humans of a new imaging modality called electrocardiographic imaging (ECGI), which noninvasively images cardiac electrical activity in the heart. In ECGI, a multielectrode vest records 224 body-surface electrocardiograms; electrical potentials, electrograms and isochrones are then reconstructed on the heart's surface using geometrical information from computed tomography (CT) and a mathematical algorithm. We provide examples of ECGI application during atrial and ventricular activation and ventricular repolarization in (i) normal heart (ii) heart with a conduction disorder (right bundle branch block) (iii) focal activation initiated by right or left ventricular pacing, and (iv) atrial flutter.

Inter-relationships between atrial flutter and atrial fibrillation

It has been appreciated for a long time that atrial flutter and atrial fibrillation have a clinical relationship. Now, with the technological advances that permit more sophisticated electrophysiological studies, especially mapping studies, we have significantly advanced our understanding of this interrelationship. Regarding the relationship at atrial fibrillation to atrial flutter: Atrial fibrillation of variable duration (very brief to prolonged episodes) precedes the onset of atrial flutter in most instances. It seems that during the period of atrial fibrillation, the functional components of the atrial flutter reentrant circuit are formed. This is principally a line of block between the venae cavae. If this line of block does not form, classical atrial flutter does not form. And if this line of block shortens or disappears, classical atrial flutter disappear as well. In fact, it might be said that the major difference in whether classical atrial flutter or atrial fibrillation develops is whether a line of block forms between the venae cavae. Regarding the relationship of atrial flutter to atrial fibrillation: Studies have demonstrated that a driver (a single focus or reentrant circuit of very short cycle length) can be responsible for causing atrial fibrillation by producing fibrillatory conduction to the rest of the atria. In experimental models and now beginning to be demonstrated in patients, this driver may be a stable reentrant circuit of very short cycle length, i.e., a fast form of atrial flutter, if you will. In fact, there is probably a spectrum of these short cycle lengths that depend, in part, on where the reentrant circuit (i.e., "atrial flutter") exists. When the stable reentrant circuit is of sufficiently short cycle length, it will only activate small portions of the atria in a 1 : 1 manner. The rest of the atria will be activated irregularly, resulting in atrial fibrillation. Unstable reentrant circuits can also do the same thing. In short, it appears that there are several mechanisms of atrial fibrillation, one of which is due to a form of very rapid atrial flutter.