Physical activity (PA) is a cornerstone of prevention to decrease mortality in patients with chronic cardiovascular disease, including heart failure. 1,2 Implantable cardiac devices offer the opportunity to monitor PA and data derived from implantable devices have been associated with shortand long-term outcomes. 3,4 During the severe acute respiratory syndrome coronavirus 2 pandemic, restrictions to outdoor activity were imposed by national authorities. In Italy, after the first case of coronavirus disease-2019 (COVID-19) on February 21, the so-called lockdown act was passed on March 8, 2020. 5 These rigorous measures decreased the impact of COVID-19 pandemic on the National Health System, 6 but likely resulted in changes in the ability of patients to maintain PA levels. In the current study, we examined the impact of the COVID-19 and regulatory movement restrictions on the PA of patients with an implantable cardioverter defibrillator.

Background: Predicting an accessory pathway location is extremely important in pediatric patients. Aims:We designed a study to compare previously published algorithms by Arruda, Boersma, and Chiang.Methods: This multicenter study included patients who had undergone successful ablation of one accessory pathway. Analysis of resting 12-lead electrocardiograms was carried out. An aggregated prediction score was constructed on the basis of algorithm agreement, and a structured workflow approach was proposed. Results:The total population was 120 patients (mean age, 12.7 [± 3.6] years). The algorithm by Boersma had the highest accuracy (71.7%). The inter-rater agreement among the 3 reference algorithms, according to left-sided accessory pathway (AP) identification, was good between Boersma and Chiang (κ = 0.611; 95% confidence interval [CI], 0.468-0.753) but moderate between Arruda and Chiang and between Arruda and Boersma (κ = 0.566; 95% CI, 0.419-0.713 and κ = 0.582; 95% CI, 0.438-0.727, respectively). Regarding locations at risk of atrioventricular (AV) block, agreement was fair between Arruda and Chiang and between Boersma and Chiang (κ = 0.358; 95% CI, 95% CI, respectively) but moderate between Arruda and Boersma (κ = 0.45; 95% CI, 0.304-0.597). On applying a first-step diagnostic evaluation, when concordance was achieved, we were able to correctly identify left-sided or non-left-sided ablation sites in 96.4% (n = 80) of cases. When concordance was achieved, correct prediction of risk/no risk of AV block was achieved in 92.2% (n = 59) of cases.Conclusions: An aggregated prediction score based on 3 reference algorithms proved able to predict an accessory pathway location very precisely and could be used to plan safely invasive procedures.

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Background Coronavirus Disease‐2019 (COVID‐19) has been associated with myocardial injury and higher risk of arrhythmic complications. However, no reports are available about the effect of the ongoing pandemic on arrhythmias in patients at risk. Objective To describe the effect of COVID‐19 pandemic on arrhythmic burden among high‐risk patients. Methods This is a cross‐sectional study on the incidence of ventricular arrhythmia (VA) during the pandemic outbreak (study period), compared to the same timeframe in 2019 (reference period). Inclusion criteria were age (>18 years) and having an implantable cardiac defibrillator (ICD). Results Among 455 patients enrolled (mean age 64.9 ± 15.7 years; 25.1% females and 39.6% with CRTD), in the study period, 45 (9.9%) patients experienced a total of 86 VA; 8 patients (1.7%) required antitachycardia‐pacing (ATP) and 6 (1.3%) at least one shock. In the reference period, a total of 69 events occurred in 36 patients (7.9%). Six patients (1.3%) required ATP and three (0.7%) at least one shock. The number of patients that suffered from any arrhythmic events in the study period (9.9% vs 7.9%) did not significantly differ from the reference period (χ 2 = 1.09, P = .29). The main predictor of VA during the COVID‐19 pandemic was the previous history of any ICD therapy (OR = 3.84, P < .001). Conclusions No evidence of an increase of arrhythmic burden was found during the COVID‐19 pandemic among patients with an ICD.

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