Circulation: Arrhythmia and Electrophysiology March 2020 Issue

Circulation: Arrhythmia and Electrophysiology On the Beat

Paul J. Wang:

Welcome to the monthly podcast On the Beat for circulation, arrhythmia, and electrophysiology. I'm Dr. Paul Wang, Editor In Chief, with some of the key highlights from this month's issue.

Elizabeth Wang and Associates examined the relationship between acute precipitants of atrial fibrillation and long-term recurrence of atrial fibrillation, AF, from a multi-institutional, longitudinal electronic medical record database. Among 10,723 patients with newly diagnosed Afib, age 67.9 years, 41% women, the authors found that 19% had an acute AF precipitant, the most common of which were cardiac surgery in 22%, pneumonia in 20% and non-cardiothoracic surgery in 15%. The cumulative incidence of AF recurrence at five years was 41% among individuals with a precipitant, compared to 52% in those without a precipitant. Adjusted hazard ratio 0.75 P < 0.001. The lowest risk of recurrence among those with precipitants with postoperative atrial fibrillation, five-year incidence 32% in cardiac surgery and 39% in non-cardiothoracic surgery. Regardless of the initial precipitant, recurrent atrial fibrillation was associated with an increased adjusted risk of heart failure, hazard ratio of 2.74 P < 0.001, Stroke, hazard ratio 1.57 P < 0.001 and mortality, hazard ratio 2.96 P < 0.001. Thus, the authors found that atrial fibrillation after acute precipitant frequently recurs and the recurrence is associated with substantial long-term morbidity and mortality.

In the next paper, Jacob Koruth and associates examine the effect of pulse field ablation on the esophagus in a novel in-vivo porcine esophageal injury model. The authors studied 10 animals under general anesthesia while the lower esophagus was deflected towards the inferior vena cava using an esophageal deviation balloon and ablation was formed from within the inferior vena cava at areas of esophageal contact. Six animals received eight pulse field ablation applications per site and four animals received six clusters of irrigated radio frequency ablation applications at 30 Watts for 30 seconds. All animals survived to 25 days, sacrificed, and the esophagus was submitted for a pathological examination including 10 discreet histological sections of the esophagus.

The authors found that zero out of six pulse field ablation animals demonstrated esophageal lesions while esophageal injury occurred in all four radio frequency ablation animals, P = 0.005. A mean of 1.5 mucosal lesions per animal, length 21.8 millimeters with 4.9 millimeters were observed, including one esophageal pulmonary fistula, and deep esophageal ulcers in the other animals. Histological examination demonstrated tissue necrosis surrounded by an acute and chronic inflammation and fibrosis. The necrotic radio frequency ablation lesions involved multiple esophageal tissue layers with evidence of arteriolar medial thickening and fibrosis of peri-esophageal nerves, abscess formation and full thickness esophageal wall disruption were seen in the areas of perforation or fistula.

In our next paper, Peter Noseworthy and associates examine whether the ability of deep learning algorithms to detect low left ventricular ejection fraction using the 12 lead electrocardiogram varies by race or ethnicity. The authors used a retrospective cohort analysis and included 97,829 patients with paired electrocardiograms and echocardiograms and used a convolutional neural network to identify patients with a left ventricular ejection fraction less than or equal to 35% from the 12 lead electrocardiogram. The convolutional neural network was previously derived in a homogeneous population, 96.2% non Hispanic white, N = 44,959 which demonstrated consistent performance to detect low left ventricular ejection fraction across a range of racial ethnic subgroups in a separate cohort of 52,870 patients (Non-Hispanic white 44,524 patients with an AUC of 0.93; Asian 557 with an AUC of 0.96; Black/African American N = 651 with an AUC of 0.937; in Hispanic/Latino N = 331 AUC of 0.937; in Native American/Alaskan N = 223 AUC of 0.938).

In secondary analysis, a separate neural network was able to discern racial subgroup category, Black/African American AUC 0.84 and white non-Hispanic AUC 0.75 in a five-class classifier. In a network trained only in non-Hispanic whites, from the original derivation cohort, performed similarly well across a range of racial ethnic subgroups in the testing cohort with at least an AUC of 0.93 in all racial ethnic subgroups. The authors concluded that while ECG characteristics vary by race, this did not impact the ability of a convolutional neural network to predict low left ventricular ejection fraction from the ECGs. They recommend reporting of performance against diverse ethnic, racial, age, and gender groups for all new artificial intelligent tools.

In our next paper, Benjamin Shoemaker and associates examine the association between atrial fibrillation or AF genetic susceptibility and recurrence after de novo AF ablation, using a comprehensive polygenic risk score for AF in the 10 centers from the AF genetics consortium. AF genetic susceptibility was measured using a previously described a polygenic risk score, N = 929 snips. The overall arrhythmia recurrence rate between 3 and 12 months was 44% in 3,259 patients. Patients with a higher AF genetic susceptibility were younger and have fewer clinical risk factors for atrial fibrillation. Persistent atrial fibrillation has a ratio of 1.39, left atrial size has a ratio of 1.32, and left ventricular ejection fraction per 10% has a ratio of 0.88, were associated with increased risk of occurrence. In unit varied analysis, the authors found that AF genetic susceptibility had a hazard ratio of 1.08 P = 0.07 and in multivariate analysis hazard ratio 1.06 with a P value 0.13.

In our next paper, Mohit Turagam and associates reported the outcomes of the first inhuman value trial, which uses low intensity collimated ultrasound or LICU guided anatomical mapping in robotic ablation to isolate the pulmonary veins for atrial fibrillation ablation. In 52 paroxysmal atrial fibrillation patients, ultrasound M-mode based left atrial anatomies were successfully created and ablation was performed under robotic control along an operated defined lesion path. The operatives found that acute pulmonary vein isolation was achieved in 98% of pulmonary veins using LICU only in 77% of pulmonary veins and requiring touch-up with a standard radio frequency ablation catheter in 23% of the pulmonary veins. The touch up rate decreased to 5.8% in patients undergoing LICU ablation with an enhanced software. Freedom from atrial relational recurrence was 79.6% at 12 months or 92.3%, 12 out of 13 patients with the enhanced software. Major adverse events occurred in three patients or 5.8%. One had transient diaphragmatic paralysis, one vascular access complication and one had transient ST segment elevation from air-embolism without sequelae.

In our next paper, Miguel Rodrigo and associates mapped electrical patterns of disorganization and reasons of reentrant activity in atrial fibrillation, or AF, from the body surface using electrocardiographic imaging. The author examined the bi-atrial intracardiac electrograms of 47 patients at ablation (30 persistent, 29 males, age 63 years) obtained using 64-pole basket catheters while simultaneously recording 57-lead body surface electrocardiogram. The authors found the body surface mapping showed greater atrial fibrillation organization near intracardiac detected drivers and elsewhere, both in phase singularity density in numbers of drivers, they found that complexity defined as a number of stable AF reentrant sites was concordant between the noninvasive and invasive methods. The subset receiving targeted ablation, AF complexity, showed lower values in those in whom AF terminated than in those in whom AF did not terminate, P < 0.01. The authors concluded that AF complexity, assessed noninvasively, correlates well with organized, disorganized regions detected by intracardiac mapping.

In our next paper, Krystien Lieve and Veronica Dusi and associates examined whether heart rate reduction immediately after exercise is regulated by autonomic reflexes, particularly vagal tone and may be associated with symptoms and ventricular arrhythmias in patients with catecholaminergic polymorphic ventricular tachycardia, CPVT. In a retrospective observational study, the authors studied 187 patients mean age 36 years, 68 or 36% symptomatic before diagnosis, pre-exercise stress test heart rate and maximal heart rate were equal amongst symptomatic and asymptomatic patients.

Patients that were symptomatic prior to diagnosis had a greater delta HRR one prime after a maximum exercise, 43 versus 25, P < 0.001. Corrected for age, gender, and relatedness, patients in the upper tertile for Delta HRR one prime had an odd ratio of 3.4 of being symptomatic before diagnosis, P < 0.001. In addition, Delta HRR one prime was higher in patients with complex ventricular arrhythmias at exercise stress test, off antiarrhythmic drugs. After diagnosis, patients with a Delta HRR one prime in the upper tertile of its distribution, had significantly more rhythmic events as compared to patients and other tertiles, P=0.045. The authors concluded that CPVT patients with a larger heart rate reduction following exercise are more likely to be symptomatic and have complex ventricular arrhythmias during first exercise stress test off antiarrhythmic drugs.

In our next paper, Balvinder Handa and associates examined whether low spatial resolution, sequentially acquired data can be used to examine the global fibrillation organization, characterizing dominant propagating patterns and identifying rotational drivers. The authors employed ranger causality analysis, an econometric tool for quantifying causal relationships between complex time series, which was developed as a novel fibrillation mapping tool and adapted to low spatial resolution sequentially acquired data. Ventricular fibrillation, or VF, optical mapping was performed and Langendorff-perfused Sprague Dawley rat hearts, N = 18. And novel algorithms were developed using Granger causality analysis to quantify causal dependence of neighboring signals and plot Granger causality analysis vectors, quantify global organization using causality pairing index, a measure of neighboring causal signal pairs, and localize rotational drivers by quantifying the circular interdependence of neighboring signals with the circular interdependence value.

Granger causality analysis based mapping tools were optimized for low spatial resolution by down sampled optical mapping data validated against high resolution phase mapping analysis and further tested in previous VF optical mapping recordings of coronary perfused donor heart LV wedge preparations, N = 12, and adaptive for sequentially acquired intracardiac electric Grande during human persistent atrial relation mapping, N=16. The authors found that global VF organization quantified by causality pairing index showed a negative correlation at progressively lower resolutions in organized VF with high causality pairing index values. Ranger causality analysis vector mapping characterize dominant propagating patterns and localized stable rotational drivers with the circular interdependence value showing a significant difference in driver versus non driver regions, P = 0.0002. These findings were further confirmed in human VF in persistent atrial fibrillation, a positive correlation was found between causality peri-index and presence of stable rotational drivers. 50% of patients had rotational drivers with a low incidence of 0.9 rotational drivers per patient.

In a special report, Piotr Futyma and associates report on the use of bipolar radiofrequency ablation of ventricular arrhythmias originating in the vicinity of the His bundle. Bryce Alexander and associates report in a research letter the patient acceptance of cybersecurity upgrade in ICDs.

That's it for this month. We hope that you'll find the journal to be the go to place for everyone interested in the field. See you next time.

This program is copyright American Heart Association 2020.