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Background: High-power short-duration (HPSD) ablation has been explored for pulmonary vein isolation. Early data suggest similar efficacy with shorter procedure times and perhaps greater safety. Data are lacking on the use of this ablation strategy for other arrhythmias. Objective: The purpose of this study was to evaluate the safety, efficacy, and clinical outcomes of HPSD ablation in patients with typical atrial flutter compared to those undergoing ablation with conventional settings. Methods: Consecutive patients undergoing cavotricuspid isthmus (CTI) ablation using standard power settings were compared to those performed after transitioning to HPSD ablation. Demographics, procedural details, and ablation outcomes were prospectively collected. The primary endpoint was duration of radiofrequency energy delivery. Secondary endpoints were radiation duration and analgesia requirements. Results: A total of 114 consecutive subjects undergoing CTI ablation (57 standard power, 57 HPSD) were included. HPSD ablation and electroanatomic mapping/contact force (EAM/CF) use were associated with 66% (95% confidence interval [CI] 58%–73%) and 50% (95% CI 37%–60%) shorter ablation times compared to standard power and not using EAM/CF, respectively. Patients in the HPSD group required 50 mcg less fentanyl relative to the standard ablation arm after adjusting for sex, age, and comorbidities (P = .048). At a median follow-up of 6 months, 4 patients (7%) in the standard arm had recurrence of atrial flutter, compared to none in HPSD group (P = .057). Conclusion: HPSD is a safe and effective approach to CTI ablation. This strategy may reduce ablation time and analgesia requirements. Larger studies and longer follow-up are needed to further evaluate this strategy.

Background: QT interval monitoring has gained much interest during the COVID-19 pandemic because of the use of QT-prolonging medications and the concern about viral transmission with serial electrocardiograms (ECGs). We hypothesized that continuous telemetry-based QT monitoring is associated with better detection of prolonged QT episodes. Methods: We introduced continuous cardiac telemetry (CCT) with an algorithm for automated QT interval monitoring to our designated COVID-19 units. The daily maximum automated heart rate-corrected QT (Auto-QTc) measurements were recorded. We compared the proportion of marked QTc prolongation (Long-QTc) episodes, defined as QTc ≥ 500 ms, in patients with suspected or confirmed COVID-19 who were admitted before and after CCT was implemented (control group vs CCT group, respectively). Manual QTc measurement by electrophysiologists was used to verify Auto-QTc. Charts were reviewed to describe the clinical response to Long-QTc episodes. Results: We included 33 consecutive patients (total of 451 monitoring days). Long-QTc episodes were detected more frequently in the CCT group (69/206 [34%] vs 26/245 [11%]; P < 0.0001) and ECGs were performed less frequently (32/206 [16%] vs 78/245 [32%]; P < 0.0001). Auto-QTc correlated well with QTc measurement by electrophysiologists with an excellent agreement in detecting Long-QTc (κ = 0.8; P < 0.008). Only 28% of patients with Long-QTc episodes were treated with recommended therapies. There was 1 episode of torsade de pointes in the control group and none in the CCT group. Conclusions: Continuous QT interval monitoring is superior to standard of care in detecting episodes of Long-QTc with minimal need for ECGs. The clinical response to Long-QTc episodes is suboptimal. Résumé: Introduction: La surveillance de l’intervalle QT a suscité beaucoup d’intérêt durant la pandémie de la COVID-19 en raison de l’utilisation de médicaments prolongeant l’intervalle QT et les préoccupations quant à la transmission virale par les électrocardiogrammes (ECG) en série. Nous avons posé l’hypothèse que la surveillance en continu de l’intervalle QT par télémétrie était associée à une meilleure détection des épisodes de prolongation de l’intervalle QT. Méthodes: Nous avons introduit la télémétrie cardiaque en continu (TCC) à l’aide d’un algorithme de surveillance automatisée de l’intervalle QT dans nos unités de COVID-19. Les mesures automatisées quotidiennes de l’intervalle QT corrigé (auto-QTc) en fonction de la fréquence cardiaque maximale ont été enregistrées. Nous avons comparé la proportion des épisodes de prolongation marquée de l’intervalle QTc (QTc long), définie par un intervalle QTc ≥ 500 ms, chez les patients montrant une suspicion de COVID-19 ou ayant la COVID-19 qui avaient été admis avant et après la mise en place de la TCC (groupe témoin vs groupe de TCC, respectivement). La mesure manuelle de l’intervalle QTc par les électrophysiologistes a été utilisée pour vérifier les mesures auto-QTc. Nous avons passé en revue les dossiers pour décrire la réponse clinique aux épisodes de QTc long. Résultats: Nous avons sélectionné 33 patients consécutifs (total de 451 journées de surveillance). Les épisodes de QTc long étaient détectés plus fréquemment dans le groupe de TCC (69/206 [34 %] vs 26/245 [11 %]; p < 0,0001) et les ECG étaient moins fréquemment effectués (32/206 [16 %] vs 78/245 [32 %]; p < 0,0001). Les mesures auto-QTc corrélaient bien avec les mesures manuelles du QTc par les électrophysiologistes et montraient une excellente concordance dans la détection de QTc long (κ = 0,8; p < 0,008). Seuls 28 % des patients ayant des épisodes de QTc long ont reçu les thérapies recommandées. Il y a eu une épisode de torsade de pointes dans le groupe témoin et aucun dans le groupe de TCC. Conclusions: La surveillance en continu de l’intervalle QT est supérieure à la norme de soins dans la détection des épisodes de QTc long et exige peu d’ECG. La réponse clinique aux épisodes de QTc long est sous-optimale.