25 research outputs found

    High-density mapping of the average complex interval helps localizing atrial fibrillation drivers and predicts catheter ablation outcomes

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    BackgroundPersistent Atrial Fibrillation (PersAF) electrogram-based ablation is complex, and appropriate identification of atrial substrate is critical. Little is known regarding the value of the Average Complex Interval (ACI) feature for PersAF ablation.ObjectiveUsing the evolution of AF complexity by sequentially computing AF dominant frequency (DF) along the ablation procedure, we sought to evaluate the value of ACI for discriminating active drivers (AD) from bystander zones (BZ), for predicting AF termination during ablation, and for predicting AF recurrence during follow-up.MethodsWe included PersAF patients undergoing radiofrequency catheter ablation by pulmonary vein isolation and ablation of atrial substrate identified by Spatiotemporal Dispersion or Complex Fractionated Atrial Electrograms (>70% of recording). Operators were blinded to ACI measurement which was sought for each documented atrial substrate area. AF DF was measured by Independent Component Analysis on 1-minute 12-lead ECGs at baseline and after ablation of each atrial zone. AD were differentiated from BZ either by a significant decrease in DF (>10%), or by AF termination. Arrhythmia recurrence was monitored during follow-up.ResultsWe analyzed 159 atrial areas (129 treated by radiofrequency during AF) in 29 patients. ACI was shorter in AD than BZ (76.4 ± 13.6 vs. 86.6 ± 20.3 ms; p = 0.0055), and mean ACI of all substrate zones was shorter in patients for whom radiofrequency failed to terminate AF [71.3 (67.5–77.8) vs. 82.4 (74.4–98.5) ms; p = 0.0126]. ACI predicted AD [AUC 0.728 (0.629–0.826)]. An ACI < 70 ms was specific for predicting AD (Sp 0.831, Se 0.526), whereas areas with an ACI > 100 ms had almost no chances of being active in AF maintenance. AF recurrence was associated with more ACI zones with identical shortest value [3.5 (3–4) vs. 1 (0–1) zones; p = 0.021]. In multivariate analysis, ACI < 70 ms predicted AD [OR = 4.02 (1.49–10.84), p = 0.006] and mean ACI > 75 ms predicted AF termination [OR = 9.94 (1.14–86.7), p = 0.038].ConclusionACI helps in identifying AF drivers, and is correlated with AF termination and AF recurrence during follow-up. It can help in establishing an ablation plan, by prioritizing ablation from the shortest to the longest ACI zone

    Three-dimensional right-ventricular regional deformation and survival in pulmonary hypertension

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    International audienceBackground: Survival in pulmonary hypertension (PH) relates to right ventricular (RV) function. However, the RV unique anatomy and structure limit 2D analysis and its regional 3D function has not been studied yet. The aim of this study was to assess the implications of global and regional 3D RV deformation on clinical condition and survival in adults with PH and healthy controls.Methods and Results: We collected a prospective longitudinal cohort of 104 consecutive PH patients and 34 healthy controls between September 2014 and December 2015. Acquired 3D transthoracic RV echocardiographic sequences were analysed by semi- automatic software (TomTec 4D RV-Function 2.0). Output meshes were post-processed to extract regional motion and deformation. Global and regional statistics provided deformation patterns for each subgroup of subjects.RV lateral and inferior regions showed the highest deformation. In PH patients, RV global and regional motion and deformation (both circumferential, longitudinal and area strain) were affected in all segments (p-18% was the most powerful RV function parameter, identifying patients with a 48%-increased risk of death (AUC 0.83 [0.74-0.90], p<0.001).Conclusions: RV strain patterns gradually worsen in PH patients and provide independent prognostic information in this population

    Technological advances in cardiac pacing and defibrillation

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    Since more than a half century, cardiac pacing and defibrillation represent a field in constant evolution, and they have shown some great technological advances from its conception to its methods of insertion. In this review, the recent developments about the accesses for pacemakers and ICD will be described: the axillary and the femoral vein. The His bundle pacing and the advantages of the entirely subcutaneous defibrillator will also be presented

    Severe Periprocedural Complications After Ablation for Atrial Fibrillation: An International Collaborative Individual Patient Data Registry.

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    BACKGROUND Catheter ablation for atrial fibrillation (AF) including pulmonary vein isolation and possibly further substrate ablation is the most common electrophysiological procedure. Severe complications are uncommon, but their detailed assessment in a large worldwide cohort is lacking. OBJECTIVES The aim of this study was to determine the incidence of periprocedural severe complications and to provide a detailed characterization of the diagnostic evaluation and management of these complications in patients undergoing AF ablation. METHODS Individual patient data were collected from 23 centers worldwide. Limited data were collected for all patients who underwent catheter ablation, and an expanded series of data points were collected for patients who experienced severe complications during periprocedural follow-up. Incidence, predictors, patient characteristics, management details, and overall outcomes of patients who experienced ablation-related complications were investigated. RESULTS Data were collected from 23 participating centers at which 33,879 procedures were performed (median age 63 years, 30% women, 71% radiofrequency ablations). The incidence of severe complications (n = 271) was low (tamponade 6.8‰, stroke 0.97‰, cardiac arrest 0.41‰, esophageal fistula 0.21‰, and death 0.21‰). Age, female sex, a dilated left atrium, procedure duration, and the use of radiofrequency energy were independently associated with the composite endpoint of all severe complications. Among patients experiencing tamponade, 13% required cardiac surgery. Ninety-three percent of patients with complications were discharged directly home after a median length of stay of 5 days (Q1-Q3: 3-7 days). CONCLUSIONS This large worldwide collaborative study highlighted that tamponade, stroke, cardiac arrest, esophageal fistula, and death are rare after AF ablation. Older age, female sex, procedure duration, a dilated left atrium, and the use of radiofrequency energy were associated with severe complications in this multinational cohort. One in 8 patients with tamponade required cardiac surgery

    ParamÚtres de complexité des signaux de la fibrillation atriale persistante pour discrimination des zones arythmogÚnes actives au cours de l'ablation par radiofréquence

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    Atrial fibrillation (AF) is the most frequent arrhythmia, and is responsible for significant morbidity and mortality. Its interventional treatment requires electrical isolation of the pulmonary veins, and usually additional ablation of specific atrial zones is performed in the setting of persistent AF. Persistent AF ablation based on intracardiac electrograms analysis is complex, and appropriate identification of atrial substrate is critical. Several signal parameters have been used for non-invasively characterizing AF complexity, and are linked to prognosis after treatment. Among them, the Fibrillatory Wave Amplitude (FWA) has been described as a non-invasive marker AF complexity, which seems to predict catheter ablation outcome. However, actual determinants of FWA remain incompletely understood. In this work, we sought to assess the respective implications of anatomical atrial substrate and AF spectral characteristics for FWA. We also analyzed the evolution of AF dominant frequency (DF) during radiofrequency ablation of persistent AF for identifying atrial zones playing a role in AF maintenance, and we performed correlations with readily accessible electrophysiological measures for helping the electrophysiologist in targeting appropriate substrate zones. We included 29 Persistent AF patients undergoing radiofrequency catheter ablation by pulmonary vein isolation and ablation of atrial substrate identified by Spatiotemporal Dispersion or Complex Fractionated Atrial Electrograms (>70% of recording). FWA was measured on 1-minute ECG by TQ concatenation in Lead I, V1, V2 and V5 at baseline and immediately before AF termination. AF DF was measured by Independent Component Analysis on 1-minute 12-Leads ECGs at baseline and after ablation of each atrial zone. Active drivers (AD) were differentiated from bystander zones (BZ) either by a significant decrease in DF (>10%), or by AF termination. FWA evolution during ablation was compared to that of AF DF. FWA was compared to the extent of endocardial low-voltage areas, to the surface of healthy left atrial tissue, and to P-wave amplitude in sinus rhythm. Predictive value of FWA for AF recurrence during follow-up was assessed. For predicting AD vs. BZ, several electrophysiological characteristics were assessed, such as the Average Complex Interval (ACI) which allows automated measurement of the mean local endocardial activation cycle. We found that FWA remained stable along ablation procedure with comparable values at baseline and before AF termination, whereas DF significantly decreased. FWA in V5 was strongly correlated with the surface of healthy left atrial tissue. FWA showed moderate to strong correlation to P-wave amplitude in all leads. Also, FWA did not predict AF recurrence during the follow-up. Over the 159 analyzed atrial areas, ACI was shorter in AD than BZ, and mean ACI of all substrate zones was shorter in patients for whom radiofrequency failed to terminate AF. AF recurrence was associated with more ACI zones with identical shortest value. In multivariate analysis, ACI75 ms predicted AF termination. These findings suggest that FWA is unrelated to AF complexity but is mainly determined by the amount of viable atrial myocytes; therefore, FWA should only be referred as a marker of atrial tissue pathology. Also, ACI helps in identifying AF drivers, and is correlated with AF termination and AF recurrence during follow-up.La fibrillation atriale (FA) est l’arythmie la plus frĂ©quente, et est responsable d’une morbiditĂ© et d’une mortalitĂ© significative. L’ablation de la FA persistante basĂ©e sur l’analyse des Ă©lectrogrammes intracardiaques est complexe, et l’identification correcte du substrat atrial de la FA est primordiale. DiffĂ©rents paramĂštres du signal ont Ă©tĂ© utilisĂ©s pour caractĂ©riser la complexitĂ© de la FA de maniĂšre non invasive, et sont reliĂ©s au pronostic aprĂšs traitement. Parmi eux, l’amplitude de l’onde fibrillatoire (FWA) sur l’électrocardiogramme (ECG) de surface a Ă©tĂ© dĂ©crite comme un marqueur non invasif de la complexitĂ© de la FA, qui semble prĂ©dire les rĂ©sultats de l’ablation. Cependant, les dĂ©terminants de la FWA restent incomplĂštement compris. Dans ce travail, nous avons voulu Ă©valuer les implications respectives du substrat anatomique atrial et des caractĂ©ristiques spectrales de la FA sur la FWA. Nous avons Ă©galement analysĂ© l’évolution de la frĂ©quence dominante (dominant frequency, DF) de la FA au cours de l’ablation par radiofrĂ©quence de la FA persistante pour identifier les zones atriales jouant un rĂŽle dans le maintien de l’arythmie, et nous avons effectuĂ© des corrĂ©lations avec des mesures Ă©lectrophysiologiques directement accessibles au rythmologue pendant l’intervention pour aider Ă  dĂ©finir les cibles atriales appropriĂ©es. Nous avons inclus 29 patients ablatĂ©s de FA persistante par radiofrĂ©quence, avec isolation des veines pulmonaires et ablation du substrat atrial identifiĂ© par dispersion spatiotemporelle ou Ă©lectrogrammes fragmentĂ©s complexes (>70% de l’enregistrement). La FWA Ă©tait mesurĂ©e sur des ECG d’une minute par concatĂ©nation des intervalles TQ sur les dĂ©rivations DI, V1, V2 et V5 Ă  l’état basal et immĂ©diatement avant arrĂȘt de la FA. La DF de la FA Ă©tait mesurĂ©e sur les composantes indĂ©pendantes dĂ©duites des ECG d’une minute Ă  l’état basal et aprĂšs ablation de chaque zone atriale. Les drivers actifs (active drivers, AD) Ă©taient diffĂ©rentiĂ©s des zones neutres (bystander zones, BZ) soit par une diminution significative de la DF (>10%), soit par arrĂȘt de la FA. L’évolution de la FWA au cours de l’ablation a Ă©tĂ© comparĂ©e Ă  celle de la DF. La FWA a Ă©tĂ© comparĂ©e Ă  l’étendue des zones de bas voltage atriales, Ă  la surface de tissu atrial sain, et Ă  l’amplitude de l’onde P en rythme sinusal. La valeur prĂ©dictive de la FWA pour la rĂ©cidive de la FA a Ă©tĂ© Ă©valuĂ©e. Pour identifier les AD vs. BZ, plusieurs caractĂ©ristiques Ă©lectrophysiologiques ont Ă©tĂ© Ă©valuĂ©s comme l’Average Complex Interval (ACI), permettant une mesure automatisĂ©e du cycle moyen entre deux activations locales endocardiques. Nous avons trouvĂ© que la FWA restait stable au cours de l’ablation avec des valeurs comparables Ă  l’état basal et avant arrĂȘt de la FA, alors que la DF diminuait significativement. La FWA sur V5 Ă©tait fortement corrĂ©lĂ©e Ă  la surface de tissu atrial sain. La FWA dĂ©montrait une corrĂ©lation modĂ©rĂ©e Ă  forte avec l’amplitude de l’onde P dans toutes les dĂ©rivations. Egalement, la FWA ne prĂ©disait pas la rĂ©cidive de FA durant le suivi. Sur les 159 zones atriales Ă©valuĂ©es, l’ACI Ă©tait plus court pour les AD que les BZ, et l’ACI moyen de toutes les zones de substrat Ă©tait plus court chez les patients chez qui la radiofrĂ©quence Ă©chouait Ă  rĂ©duire la FA. La rĂ©cidive de la FA Ă©tait associĂ©e avec plus de zones ayant un ACI similaire Ă  l’ACI le plus court du patient. En analyse multivariĂ©e, un ACI 75 ms prĂ©disait un arrĂȘt de la FA durant la procĂ©dure. Ces rĂ©sultats suggĂšrent que la FWA n’a pas de lien direct avec la complexitĂ© de la FA mais est surtout dĂ©terminĂ©e par la quantitĂ© de tissu atrial viable ; de ce fait, la FWA devrait uniquement ĂȘtre considĂ©rĂ©e comme un marqueur de pathologie du tissu atrial. Egalement, l’ACI aide Ă  identifier les drivers de la FA, et est corrĂ©lĂ© avec l’arrĂȘt de la FA et la rĂ©cidive de la FA durant le suivi

    Active arrhythmogenic zone identification in persistent atrial fibrillation using complexity parameters during radiofrequency catheter ablation

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    La fibrillation atriale (FA) est l’arythmie la plus frĂ©quente, et est responsable d’une morbiditĂ© et d’une mortalitĂ© significative. L’ablation de la FA persistante basĂ©e sur l’analyse des Ă©lectrogrammes intracardiaques est complexe, et l’identification correcte du substrat atrial de la FA est primordiale. DiffĂ©rents paramĂštres du signal ont Ă©tĂ© utilisĂ©s pour caractĂ©riser la complexitĂ© de la FA de maniĂšre non invasive, et sont reliĂ©s au pronostic aprĂšs traitement. Parmi eux, l’amplitude de l’onde fibrillatoire (FWA) sur l’électrocardiogramme (ECG) de surface a Ă©tĂ© dĂ©crite comme un marqueur non invasif de la complexitĂ© de la FA, qui semble prĂ©dire les rĂ©sultats de l’ablation. Cependant, les dĂ©terminants de la FWA restent incomplĂštement compris. Dans ce travail, nous avons voulu Ă©valuer les implications respectives du substrat anatomique atrial et des caractĂ©ristiques spectrales de la FA sur la FWA. Nous avons Ă©galement analysĂ© l’évolution de la frĂ©quence dominante (dominant frequency, DF) de la FA au cours de l’ablation par radiofrĂ©quence de la FA persistante pour identifier les zones atriales jouant un rĂŽle dans le maintien de l’arythmie, et nous avons effectuĂ© des corrĂ©lations avec des mesures Ă©lectrophysiologiques directement accessibles au rythmologue pendant l’intervention pour aider Ă  dĂ©finir les cibles atriales appropriĂ©es. Nous avons inclus 29 patients ablatĂ©s de FA persistante par radiofrĂ©quence, avec isolation des veines pulmonaires et ablation du substrat atrial identifiĂ© par dispersion spatiotemporelle ou Ă©lectrogrammes fragmentĂ©s complexes (>70% de l’enregistrement). La FWA Ă©tait mesurĂ©e sur des ECG d’une minute par concatĂ©nation des intervalles TQ sur les dĂ©rivations DI, V1, V2 et V5 Ă  l’état basal et immĂ©diatement avant arrĂȘt de la FA. La DF de la FA Ă©tait mesurĂ©e sur les composantes indĂ©pendantes dĂ©duites des ECG d’une minute Ă  l’état basal et aprĂšs ablation de chaque zone atriale. Les drivers actifs (active drivers, AD) Ă©taient diffĂ©rentiĂ©s des zones neutres (bystander zones, BZ) soit par une diminution significative de la DF (>10%), soit par arrĂȘt de la FA. L’évolution de la FWA au cours de l’ablation a Ă©tĂ© comparĂ©e Ă  celle de la DF. La FWA a Ă©tĂ© comparĂ©e Ă  l’étendue des zones de bas voltage atriales, Ă  la surface de tissu atrial sain, et Ă  l’amplitude de l’onde P en rythme sinusal. La valeur prĂ©dictive de la FWA pour la rĂ©cidive de la FA a Ă©tĂ© Ă©valuĂ©e. Pour identifier les AD vs. BZ, plusieurs caractĂ©ristiques Ă©lectrophysiologiques ont Ă©tĂ© Ă©valuĂ©s comme l’Average Complex Interval (ACI), permettant une mesure automatisĂ©e du cycle moyen entre deux activations locales endocardiques. Nous avons trouvĂ© que la FWA restait stable au cours de l’ablation avec des valeurs comparables Ă  l’état basal et avant arrĂȘt de la FA, alors que la DF diminuait significativement. La FWA sur V5 Ă©tait fortement corrĂ©lĂ©e Ă  la surface de tissu atrial sain. La FWA dĂ©montrait une corrĂ©lation modĂ©rĂ©e Ă  forte avec l’amplitude de l’onde P dans toutes les dĂ©rivations. Egalement, la FWA ne prĂ©disait pas la rĂ©cidive de FA durant le suivi. Sur les 159 zones atriales Ă©valuĂ©es, l’ACI Ă©tait plus court pour les AD que les BZ, et l’ACI moyen de toutes les zones de substrat Ă©tait plus court chez les patients chez qui la radiofrĂ©quence Ă©chouait Ă  rĂ©duire la FA. La rĂ©cidive de la FA Ă©tait associĂ©e avec plus de zones ayant un ACI similaire Ă  l’ACI le plus court du patient. En analyse multivariĂ©e, un ACI 75 ms prĂ©disait un arrĂȘt de la FA durant la procĂ©dure. Ces rĂ©sultats suggĂšrent que la FWA n’a pas de lien direct avec la complexitĂ© de la FA mais est surtout dĂ©terminĂ©e par la quantitĂ© de tissu atrial viable ; de ce fait, la FWA devrait uniquement ĂȘtre considĂ©rĂ©e comme un marqueur de pathologie du tissu atrial. Egalement, l’ACI aide Ă  identifier les drivers de la FA, et est corrĂ©lĂ© avec l’arrĂȘt de la FA et la rĂ©cidive de la FA durant le suivi.Atrial fibrillation (AF) is the most frequent arrhythmia, and is responsible for significant morbidity and mortality. Its interventional treatment requires electrical isolation of the pulmonary veins, and usually additional ablation of specific atrial zones is performed in the setting of persistent AF. Persistent AF ablation based on intracardiac electrograms analysis is complex, and appropriate identification of atrial substrate is critical. Several signal parameters have been used for non-invasively characterizing AF complexity, and are linked to prognosis after treatment. Among them, the Fibrillatory Wave Amplitude (FWA) has been described as a non-invasive marker AF complexity, which seems to predict catheter ablation outcome. However, actual determinants of FWA remain incompletely understood. In this work, we sought to assess the respective implications of anatomical atrial substrate and AF spectral characteristics for FWA. We also analyzed the evolution of AF dominant frequency (DF) during radiofrequency ablation of persistent AF for identifying atrial zones playing a role in AF maintenance, and we performed correlations with readily accessible electrophysiological measures for helping the electrophysiologist in targeting appropriate substrate zones. We included 29 Persistent AF patients undergoing radiofrequency catheter ablation by pulmonary vein isolation and ablation of atrial substrate identified by Spatiotemporal Dispersion or Complex Fractionated Atrial Electrograms (>70% of recording). FWA was measured on 1-minute ECG by TQ concatenation in Lead I, V1, V2 and V5 at baseline and immediately before AF termination. AF DF was measured by Independent Component Analysis on 1-minute 12-Leads ECGs at baseline and after ablation of each atrial zone. Active drivers (AD) were differentiated from bystander zones (BZ) either by a significant decrease in DF (>10%), or by AF termination. FWA evolution during ablation was compared to that of AF DF. FWA was compared to the extent of endocardial low-voltage areas, to the surface of healthy left atrial tissue, and to P-wave amplitude in sinus rhythm. Predictive value of FWA for AF recurrence during follow-up was assessed. For predicting AD vs. BZ, several electrophysiological characteristics were assessed, such as the Average Complex Interval (ACI) which allows automated measurement of the mean local endocardial activation cycle. We found that FWA remained stable along ablation procedure with comparable values at baseline and before AF termination, whereas DF significantly decreased. FWA in V5 was strongly correlated with the surface of healthy left atrial tissue. FWA showed moderate to strong correlation to P-wave amplitude in all leads. Also, FWA did not predict AF recurrence during the follow-up. Over the 159 analyzed atrial areas, ACI was shorter in AD than BZ, and mean ACI of all substrate zones was shorter in patients for whom radiofrequency failed to terminate AF. AF recurrence was associated with more ACI zones with identical shortest value. In multivariate analysis, ACI75 ms predicted AF termination. These findings suggest that FWA is unrelated to AF complexity but is mainly determined by the amount of viable atrial myocytes; therefore, FWA should only be referred as a marker of atrial tissue pathology. Also, ACI helps in identifying AF drivers, and is correlated with AF termination and AF recurrence during follow-up

    211: Left atrial flutter occurring after atrial fibrillation ablation: ablation using remote magnetic navigation versus manual technique

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    IntroductionLimited data exist on the efficacy and safety of remote magnetic navigation (RMN) ablation of iatrogenic left atrial flutter (LAF) occurring after atrial fibrillation (AF) ablation.MethodsLAF ablation procedures (proc) were reviewed. Patients (pts) were divided into 2 groups (gr): RMN gr if proc were performed remotely using the Niobe system (Sterotaxis) and conventional gr (CON) if proc were performed with manually driven catheters. Open-irrigated 3.5mm-tip catheters were used in all pts. Activation LA maps were realized in all pts using Carto or EnSite). Acute (defined as sinus rhythm- SR- resumption during ablation) and long-term (defined as SR maintenance) proc success, proc duration, fluoroscopy and radiofrequency (RF) times, and the mechanism of arrhythmias were studied.ResultsIn 46 pts (38 males, 60.8±10.19 y) 57 LAF ablation proc were performed. Age and LA size were similar. Activation maps showed: a unique macro-reentrant circuit 46%, multiples successive macro-reentrant circuits 26%, focal pulmonary vein tachycardia 9%, micro-reentrant circuit 19%. Results are showed in the table. Complications occurred in 3 proc: 1 in the RMN gr (groin hematoma) and 2 in the CON gr (1 transient ischemic attack and 1 cardiac perforation with tamponade). Perimitral flutter that occurred at any stage of the proc was associated with significantly higher rate of acute failure (persistent perimitral flutter at the end of the proc, both gr): 44% vs 12% for other types of flutter, p=0.02.RMN (n=25)CON (n=32)pAcute success80%78%0.86Proc/pt1.2±0.51.2±0.80.74Long-term success (follow-up 12.5±11.3 months)81%66%0.44Fluoroscopy748±377 s1086±772 s0.05Proc time236±68 min201±72 min0.06RF time1291±880 s1181±897 s0.70ConclusionAs compared to manual proc, RMN guided ablation for LAF after AF ablation provides comparable acute and long-term success rate but is potentially safer

    Atrial fibrillation ablation in a single atrium with inferior vena cava interruption

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    Abstract Common atrium (CA), also called three‐chambered heart, is one of the rare congenital anomalies, defined by a complete absence of the atrial septum, eventually associated with malformation of the atrioventricular (AV) valves. We report the case of a 57‐year‐old woman with CA complicated with Eisenmenger syndrome and inferior vena cava interruption, who suffered from symptomatic persistent atrial fibrillation (AF). She underwent an initial successful pulmonary vein isolation procedure. A repeat procedure for perivalvular atrial flutter was complicated with inadvertent complete AV block, due to unusual AV node location in this challenging anatomy
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