Voltage mapping of Koch's triangle in atrioventricular nodal reentrant tachycardia ablation : Results from an observational multicenter prospective registry.

BACKGROUND: The identification of a "low-voltage bridge" to guide ablation of atrioventricular nodal reentry tachycardia (AVNRT) has been described as a safe and effective strategy in children. We investigated the presence of a low-voltage bridge in adult patients undergoing AVNRT ablation, to evaluate its anatomical correspondence with the successful ablation site. We also investigated the possible correlations between Koch's triangle anatomy and patients' biometric characteristics. METHODS: This observational registry prospectively collected data from 200 patients undergoing AVNRT ablation, guided by 3D electroanatomical mapping system, in 6 electrophysiology centers. Koch's triangle voltage map was collected; then, the anatomical correspondence between the low-voltage bridge and the successful ablation site was evaluated. Koch's triangle anatomical dimensions were subsequently drawn from the mapping system and correlated to patients' gender, age, and weight. RESULTS: The low-voltage bridge was identified in 159 over 200 procedures (79.5%). When the low-voltage bridge was identified, its anatomical correspondence with the successful ablation site has been proved in 137 over 159 cases (86%), with a reduction of radiofrequency deployment time. No strict correlations were found, on the other side, between Koch's triangle anatomy and patients' biometric data. CONCLUSIONS: The identification of the low-voltage bridge has proved to be a helpful strategy to guide AVNRT ablation in a large cohort of adult patients. Targeting the low-voltage bridge during AVNRT ablation helps to reduce RF application time. Koch's triangle morphological characteristics cannot be predicted on the base of patients' biometric data.

Computational Analysis of Mapping Catheter Geometry and Contact Quality Effects on Rotor Detection in Atrial Fibrillation.

Atrial fibrillation (AF) is the most common cardiac arrhythmia and catheter mapping has been proved to be an effective approach for detecting AF drivers to be targeted by ablation. Among drivers, the so-called rotors have gained the most attention: their identification and spatial location could help to understand which patient-specific mechanisms are acting, and thus to guide the ablation execution. Since rotor detection by multi-electrode catheters may be influenced by several structural parameters including inter-electrode spacing, catheter coverage, and endocardium-catheter distance, in this study we proposed a tool for testing the ability of different catheter shapes to detect rotors in different conditions. An approach based on the solution of the monodomain equations coupled with a modified Courtemanche ionic atrial model, that considers an electrical remodeling, was applied to simulate spiral wave dynamics on a 2D model for 7.75 s. The developed framework allowed the acquisition of unipolar signals at 2 KHz. Two high-density multipolar catheters were simulated (Advisor™ HD Grid and PentaRay®) and placed in a 2D region in which the simulated spiral wave persists longer. The configuration of the catheters was then modified by changing the number of electrodes, inter-electrodes distance, position, and atrial-wall distance for assessing how they would affect the rotor detection. In contact with the wall and at 1 mm distance from it, all the configurations detected the rotor correctly, irrespective of geometry, coverage, and inter-electrode distance. In the HDGrid-like geometry, the increase of the inter-electrode distance from 3 to 6 mm caused rotor detection failure at 2 mm distance from the LA wall. In the PentaRay-like configuration, regardless of inter-electrode distance, rotor detection failed at 3 mm endocardium-catheter distance. The asymmetry of this catheter resulted in rotation-dependent rotor detection. To conclude, the computational framework we developed is based on realistic catheter shapes designed with parameter configurations which resemble clinical settings. Results showed it is well suited to investigate how mapping catheter geometry and location affect AF driver detection, therefore it is a reliable tool to design and test new mapping catheters.

Heart failure hospitalizations and costs in ICD/CRT-D recipients following replacement or upgrade: the DECODE registry.

AIMS: The aim of this study is to report heart failure hospitalization (HFH) rates and associated costs within 12 months following implantable cardioverter defibrillator (ICD)/cardiac resynchronization therapy defibrillator (CRT-D) device replacement or upgrade from ICD to CRT-D. METHODS AND RESULTS: The DEtect long-term COmplications after icD rEplacement (DECODE) was a prospective, single-arm, multicentre cohort study that explored complications in ICD/CRT-D recipients. All clinical and survival data at 12 months were prospectively analysed. For each adjudicated HFH, admission and discharge dates and ICD-9-CM diagnosis and procedure codes were recorded. The reimbursement for each HFH was calculated for each diagnosis-related group code. Between 2013 and 2015, 983 patients (mean age 71 years, male 76%, mean left ventricular ejection fraction 35%, and New York Heart Association Class I/II 75.6%) were enrolled. Patients underwent device replacement (900; 91.6%, 446 ICD/454 CRT-D) or ICD upgrade to CRT-D (83; 8.4%). Post-replacement hospitalizations occurred in 220 patients, with the primary discharge diagnosis identifying cardiovascular causes in 175 patients (80%). Fifty-five (5.6%) patients experienced at least one HFH. Overall, 91 HFH events occurred (9.6% event rate, 95% confidence interval: 7.7-11.7) in 70 patients; 66 (6.7%) patients died, 40 (60.6%) of cardiovascular causes. The HFH rate was significantly higher following upgrades, and the occurrence of HFH was associated with an 11-fold increased mortality risk (95% confidence interval: 5.9-20.5, P < 0.0001). Medical diagnosis-related group accounted for 91.2% of HFH; the mean cost per HFH was €5662 ± 9497, and the mean cost per patient was €9369 ± 12 687. On multivariate analysis, predictors of HFH were atrial fibrillation, chronic kidney disease, and all-cause hospitalization within 30 days prior to the procedure. CONCLUSIONS: In the DECODE registry, HFH and mortality rates in the year following ICD/CRT-D replacement or upgrade were low. In this particular subset, underlying cardiac disease was the main driver of HFH, mortality, and higher healthcare expenditures.

Analysis of the electrical patterns and structural remodeling in atrial fibrillation.

Catheter ablation of atrial fibrillation (AF) is a promising therapy, whose success is limited by uncertainty in the knowledge of the mechanisms sustaining the arrhythmia. Many theories based on atrial electrical activation or on atrial structural remodeling have been proposed to target AF mechanisms. We hypothesized two prospective approaches could be linked and both computational analysis of atrial electrical patterns and fibrotic tissue location and extent could give further insights on the role of rotors and spatial relationship between them and atrial fibrosis. This paper presents some preliminary results aimed at the integration of information derived from electrical patterns and structural remodeling in AF patients. Electrical patterns were analyzed by applying the standard procedure based on the Hilbert transform (HT) and with sinusoidal wavelet recomposition (SR). In addition, a new technique based on the detection of maximum negative derivative of the unipolar electrograms and a modified version of signal recomposition (NDSR) was tested.A patient-specific anatomical model was derived by segmenting magnetic resonance angiographic (MRA) data applying an edge based level set approach guided by a phase-based edge detector. A multimodality affine registration was applied to register MRA and delayed-enhanced MR imaging (DE-MRI). Following this registration step, gray intensity levels from DE-MRI were used asa texture of the 3D model to visualize fibrosis location and quantify its extent.In view of a future integration of electrical activation patterns onthe patient-specific anatomical model, detected atrial activation timings (AAT) and derived parameters were validated with manual annotation performed by an expert cardiologist and the atrial model was compared with the anatomical map used to guide the ablation procedure.

Electrical cardioversion of atrial fibrillation: evaluation of sedation safety with midazolam by means of EtCO2 and IPI algorithm analysis.

BACKGROUND: For several years, the electrical external cardioversion (ECV) has entered into clinical practice without assistance of anesthesiology team. The aim of this study was to evaluate the efficacy and safety of sedation with midazolam in patients undergoing electrical cardioversion of atrial fibrillation (AF) by means of the evaluation of capnometry and pulmonary integrated index (IPI) using the Oridion Capnostream 20. METHODS: We studied 45 consecutive patients (pts) who underwent ECV of AF sedated with midazolam at mean dose of 5mg bolus followed by another 5mg in 2 minutes (min). Maximum dosage was 11 mg (average 8 ± 2 mg). After cardioversion we infused Anexate 0.5mg bolus followed by 0.5mg in 30 min. All pts were monitored with blood pressure, O2 saturation, cardiac frequency and capnometers. RESULTS: EtCO2 value at baseline was 37.14 ± 2.7, 35.02 ± 1.7 after induction of sedation and 36.59 ± 1.2 after awaking (p<0.05 baseline to induction). IPI index was 9.58 ± 0.5 at basal 8.09 ± 0.63 at induction time and 9.02 ± 0.5 after awaking (p<0.05 basal to induction, induction to awaking and basal to awaking but all data were in normal range). No pts had apnea or hypoxia but there was only one case of hypotension after shock, which lasted 2 min. CONCLUSIONS: Conscious sedation with midazolam for electrical cardioversion of AF appears to be safe and effective because it does not affect adversely the respiratory parameters of pts as demonstrated by the analysis of EtCO2 and IPI index.