Modélisation de l’activité électrique des oreillettes avant et après ablation par cathéter

- Réalisé au centre de recherche de l'hospital du Sacré-Coeur de Montréal. - Programme conjoint entre Université de Montréal et École Polytechnique de Montréal.La fibrillation auriculaire (FA) est la forme d’arythmie la plus fréquente chez les êtres humains. Les mécanismes qui gouvernent l’initiation et les manifestations de cette maladie sont complexes, de nature dynamique, incluant des interactions à travers multiples échelles temporelles et spatiales dans les oreillettes. Ceci conduit très souvent à des manifestations imprévisibles et à des phénomènes qui émergent à l’échelle de l’organe, et qui se reflètent à l’échelle de tout le torse. Pour remédier à ce problème, on peut effectuer une ablation par cathéter, qui consiste à créer sur le tissu auriculaire des lésions linéaires qui bloquent et contraignent la propagation électrique. Parfois, ces lignes se reconnectent quelque temps après l’intervention, ce qui mène à des récidives, nécessitant ainsi une nouvelle intervention. Le but de ce projet est de modéliser un suivi de l’onde P post-opératoire pour détecter de manière non-invasive la reconnexion des lignes d’ablation et ainsi prédire les récidives de fibrillation auriculaire. À l’aide d’un modèle mathématique des oreillettes et du thorax, les ondes P sont simulées avant et après ablation, ainsi qu’après reconnexion de certaines lignes d’ablation. Les résultats montrent que la morphologie et les caractéristiques de l’onde P, ainsi que la carte d’activation sont affectées significativement par l’ablation et les reconnexions subséquentes. Ces différences sont plus facilement détectables lorsque les reconnexions naissent sur la veine pulmonaire inférieure gauche. Les changements sont plus importants pour les électrodes placées sur certaines zones du torse, notamment dans le dos. Ces nouvelles données aident actuellement à la conception d’une étude clinique pour valider l’approche.Atrial fibrillation (AF) is the most common form of arrhythmia in humans. The mechanisms governing the initiation and manifestations of that disease are complex, dynamic in nature, including interactions across multiple spatial and temporal scales in the atria. This often leads to unpredictable manifestations and phenomena that arise at the level of the organ, and are reflected across the entire torso. To remedy that problem, catheter ablation can be carried out, which consists in creating linear lesions which block and force the electrical propagation in the atrial tissue. Sometimes these lines reconnect after the procedure, which leads to atrial fibrillation recurrence, thus requiring a new intervention. The purpose of this work is to model the monitoring of the postoperative P wave to detect non-invasively the reconnection of ablation lines and to predict atrial fibrillation recurrences. Using a mathematical model of the atria and thorax, the P waves are simulated before and after ablation, as well as after reconnection of some ablation lines. The results show that the morphology and the characteristics of the P wave as well as the activation map are significantly affected by the ablation lines and the subsequent reconnections. These differences are more easily detected when reconnections arise on the left inferior pulmonary vein. The changes are most important in electrodes placed in certain areas of the torso, notably in the back. These new data are helping to plan a clinical study to validate the approach

Wavelength and Fibrosis Affect Phase Singularity Locations During Atrial Fibrillation

The mechanisms underlying atrial fibrillation (AF), the most common sustained cardiac rhythm disturbance, remain elusive. Atrial fibrosis plays an important role in the development of AF and rotor dynamics. Both electrical wavelength (WL) and the degree of atrial fibrosis change as AF progresses. However, their combined effect on rotor core location remains unknown. The aim of this study was to analyze the effects of WL change on rotor core location in both fibrotic and non-fibrotic atria. Three patient specific fibrosis distributions (total fibrosis content: 16.6, 22.8, and 19.2%) obtained from clinical imaging data of persistent AF patients were incorporated in a bilayer atrial computational model. Fibrotic effects were modeled as myocyte-fibroblast coupling + conductivity remodeling; structural remodeling; ionic current changes + conductivity remodeling; and combinations of these methods. To change WL, action potential duration (APD) was varied from 120 to 240ms, representing the range of clinically observed AF cycle length, by modifying the inward rectifier potassium current (IK1) conductance between 80 and 140% of the original value. Phase singularities (PSs) were computed to identify rotor core locations. Our results show that IK1 conductance variation resulted in a decrease of APD and WL across the atria. For large WL in the absence of fibrosis, PSs anchored to regions with high APD gradient at the center of the left atrium (LA) anterior wall and near the junctions of the inferior pulmonary veins (PVs) with the LA. Decreasing the WL induced more PSs, whose distribution became less clustered. With fibrosis, PS locations depended on the fibrosis distribution and the fibrosis implementation method. The proportion of PSs in fibrotic areas and along the borders varied with both WL and fibrosis modeling method: for patient one, this was 4.2–14.9% as IK1 varied for the structural remodeling representation, but 12.3–88.4% using the combination of structural remodeling with myocyte-fibroblast coupling. The degree and distribution of fibrosis and the choice of implementation technique had a larger effect on PS locations than the WL variation. Thus, distinguishing the fibrotic mechanisms present in a patient is important for interpreting clinical fibrosis maps to create personalized models

Changes in P-wave morphology after pulmonary vein isolation: insights from computer simulations

AIMS: Apparently conflicting clinical measurements of P-wave duration (PWD) pre- vs. post-ablation have been reported. To assist the interpretation of these clinical data, we used a computer model of the atria and torso to simulate P waves before and after pulmonary vein (PV) isolation. METHODS AND RESULTS: Twenty ablation patterns were designed (segmental or ipsilateral ablation; five distances to PV sleeves; addition of a roof line or not). Possible PV reconnections were introduced as gaps in the ablation lines. PWD and area were measured during sinus rhythm in vectorcardiogram (VCG) magnitude signals and on the 16-lead ECG before and after ablation, and after PV reconnection. After PV isolation, biatrial activation time was prolonged by 0-5 ms without and by 48±5 ms with roof line. Yet PWD was shortened in lead V3 and V4 by up to 15 ms. The effect of ablation on P-wave morphology was stronger when larger PV areas were isolated. Segmental and ipsilateral PV isolation led to concordant results. P-wave area increased in V1 and decreased in V6. Changes in PWD and area on the VCG were sensitive to the threshold used for detecting the end of the P wave. The occurrence of PV reconnection was best identified on leads V3, V4, and V9. CONCLUSION: PV isolation and reconnection induced measurable changes on the 16-lead ECG that might be used to improve patient follow-up after ablation

Medicinal plants - prophylactic and therapeutic options for gastrointestinal and respiratory diseases in calves and piglets? A systematic review.

BACKGROUND Gastrointestinal and respiratory diseases in calves and piglets lead to significant economic losses in livestock husbandry. A high morbidity has been reported for diarrhea (calves ≤ 35 %; piglets ≤ 50 %) and for respiratory diseases (calves ≤ 80 %; piglets ≤ 40 %). Despite a highly diverse etiology and pathophysiology of these diseases, treatment with antimicrobials is often the first-line therapy. Multi-antimicrobial resistance in pathogens results in international accordance to strengthen the research in novel treatment options. Medicinal plants bear a potential as alternative or additional treatment. Based on the versatile effects of their plant specific multi-component-compositions, medicinal plants can potentially act as 'multi-target drugs'. Regarding the plurality of medicinal plants, the aim of this systematic review was to identify potential medicinal plant species for prevention and treatment of gastrointestinal and respiratory diseases and for modulation of the immune system and inflammation in calves and piglets. RESULTS Based on nine initial sources including standard textbooks and European ethnoveterinary studies, a total of 223 medicinal plant species related to the treatment of gastrointestinal and respiratory diseases was identified. A defined search strategy was established using the PRISMA statement to evaluate 30 medicinal plant species starting from 20'000 peer-reviewed articles published in the last 20 years (1994-2014). This strategy led to 418 references (257 in vitro, 84 in vivo and 77 clinical trials, thereof 48 clinical trials in veterinary medicine) to evaluate effects of medicinal plants and their efficacy in detail. The findings indicate that the most promising candidates for gastrointestinal diseases are Allium sativum L., Mentha x piperita L. and Salvia officinalis L.; for diseases of the respiratory tract Echinacea purpurea (L.) MOENCH, Thymus vulgaris L. and Althea officinalis L. were found most promising, and Echinacea purpurea (L.) MOENCH, Camellia sinensis (L.) KUNTZE, Glycyrrhiza glabra L. and Origanum vulgare L. were identified as best candidates for modulation of the immune system and inflammation. CONCLUSIONS Several medicinal plants bear a potential for novel treatment strategies for young livestock. There is a need for further research focused on gastrointestinal and respiratory diseases in calves and piglets, and the findings of this review provide a basis on plant selection for future studies