Tarakji, Khaldoun G.

Introduction: Increasingly, catheter ablation for atrial fibrillation (AF) has been utilized for rhythm control and to improve quality of life (QoL). Data are limited on patient-centered ablation outcomes in individuals with chronic kidney disease (CKD). Objective: To examine clinical outcomes and QoL following AF ablation in CKD patients from a large patient-reported outcomes (PRO) database. Methods: All patients undergoing AF ablation (2013-2016) at our center were enrolled and assessed for outcomes using automated PRO surveys (baseline, 3 and 6 months after ablation, every 6 months thereafter). This analysis captured data at 1- and 3-year follow-up. CKD was defined as estimated glomerular filtration rate (eGFR) <60 ml/min using the 2021 CKD-EPI equation. The atrial fibrillation symptom severity scale (AFSSS) was used as the main measure for QoL assessment. In addition, data were collected on clinical improvement by patient report, AF burden, and healthcare utilization. Results: A total of 488 patients were identified (66% male, mean age 68.5, 56.2% persistent AF). QoL was significantly improved from baseline median (IQR) AFSSS of 14 (6-19.5) to 3 (0-9) at 1-year and 4 (0-9.5) at 3-year; P≤0.0001 for both. About 90% of patients reported improvement in their overall AF-related symptoms both at 1- and 3-year follow up. The proportion of patients in AF at the time of completion of the baseline survey was 51.2%, and this decreased to 6.2% at 1-year and 9.7% at 3-year follow up (P<0.0001 for both). AF burden was significantly reduced at 1-year and 3-year including frequency and duration of episodes (P<0.05 for both), with associated decrease in ER visits and hospitalizations; P<0.0001 for all comparisons. The proportion of patients on antiarrhythmics decreased from 61.8% at baseline to 35.6% and 22.7% at 1-year and 3-year, respectively (P<0.0001 for both). Conclusions: In a large AF-specific PRO system, catheter ablation for AF was associated with a significant improvement of QoL in most patients with CKD; with a decrease in AF burden and healthcare utilization.

Background: Atrial fibrillation (AF) ablation targets improvement in quality of life (QoL). Data is scarce on predictors of QoL improvement following ablation. We aimed to investigate the clinical characteristics underlying differential response in QoL after AF ablation (with or without arrhythmia recurrence). Methods: All patients undergoing AF ablation (2013–2016) at our center were prospectively enrolled in a fully automated patient-reported outcomes registry. A large number of variables were collected including AF symptom severity scale and AF burden (as indicated by AF frequency and duration scores). Patients were divided into 3 groups based on self-report of QoL improvement: remarkable (super responders), mild/moderate, and unchanged or worse (nonresponders). Univariable and multivariable logistic regression models assessed clinical characteristics and QoL outcomes. Results: A total of 956 patients were included (25% females, mean age 63.9). Most patients (≈80%) were super responders (n=761), 138 (14.4%) had mild/moderate improvement, and 57 (5.9%) were nonresponders. The strongest predictors of remarkable QoL improvement were freedom of arrhythmia recurrence (OR, 2.42 [95% CI, 1.27–4.59], P =0.007) and lower AF burden at 12 months. Similarly, higher AF burden was significantly associated with clinical nonresponse. In patients with observed clinical recurrence-QoL mismatch, changes in AF burden at 12 months were the main predictors of QoL outcome, with lower burden predicting higher improvement in QoL and vice versa. Conclusions: Most patients derive significant QoL benefit from AF ablation. Freedom from arrhythmia recurrence and lower AF burden predict remarkable QoL improvement following ablation.

The field of cardiac electrophysiology has been on the cutting edge of advanced digital technologies for many years. More recently, medical device development through traditional clinical trials has been supplemented by direct to consumer products with advancement of wearables and health care apps. The rapid growth of innovation along with the mega-data generated has created challenges and opportunities. This review summarizes the regulatory landscape, applications to clinical practice, opportunities for virtual clinical trials, the use of artificial intelligence to streamline and interpret data, and integration into the electronic medical records and medical practice. Preparation of the new generation of physicians, guidance and promotion by professional societies, and advancement of research in the interpretation and application of big data and the impact of digital technologies on health outcomes will help to advance the adoption and the future of digital health care.

Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of intense exploration, showing potential to automate human tasks and even perform tasks beyond human capabilities. Literacy and understanding of AI/ML methods are becoming increasingly important to researchers and clinicians. The first objective of this review is to provide the novice reader with literacy of AI/ML methods and provide a foundation for how one might conduct an ML study. We provide a technical overview of some of the most commonly used terms, techniques, and challenges in AI/ML studies, with reference to recent studies in cardiac electrophysiology to illustrate key points. The second objective of this review is to use examples from recent literature to discuss how AI and ML are changing clinical practice and research in cardiac electrophysiology, with emphasis on disease detection and diagnosis, prediction of patient outcomes, and novel characterization of disease. The final objective is to highlight important considerations and challenges for appropriate validation, adoption, and deployment of AI technologies into clinical practice.

Sotalol, a Vaughan-Williams Class III antiarrhythmic medication, is used to manage atrial arrhythmias. Due to its QT-prolonging effect and subsequent increased risk of torsade de pointes, many centers admit patients during the initial dosing period. Despite its widespread use, little information is available regarding dosing protocols during this period. In this multicenter investigation, dosing protocols in patients initiating sotalol therapy were examined to identify predictors of successful sotalol initiation. Over a 4-year period, patients admitted to 5 hospitals in the United States for inpatient telemetry monitoring during initiation for nonresearch purposes were enrolled. A 3-day course of 5 of 6 doses of sotalol was considered successful completion of the loading protocol. Of the 213 enrolled patients, over 90% were successfully discharged on sotalol. Significant bradycardia, ineffectiveness, and excessive QT prolongation were reasons for failed completion. Absence of a dose adjustment was a strong predictor of successful initiation (odds ratio: 6.6, 95% confidence interval: 1.3-32.7, P = .02). Hypertension, use of a calcium channel blocker, use of a separate β-blocker, and presence of a pacemaker were predictors of dose adjustments. Marginal structural models (ie, inverse probability weighting based on probability of a dose adjustment) verified that these factors also predicted successful initiation via preventing any dose adjustment and suggests that considering these factors may result in a higher likelihood of successful initiation in future investigations. In conclusion, we found that the majority of patients admitted for sotalol initiation are successfully discharged on the medication. The study findings suggest that factors predicting need for dose adjustment can be used to identify patients who could undergo outpatient initiation. Prospective studies are needed to verify this approach.

Abstract Background Cardiovascular implantable electronic device (CIED) infections are associated with significant morbidity, mortality, and cost. There is limited evidence on antibiotic prophylactic strategies to prevent CIED infection. Recently, the TYRX Envelope, which elutes a combination of rifampin and minocycline for a minimum of 7 days, was shown to significantly reduce major CIED infections in the WRAP-IT trial. We sought to characterize the pathogens among patients who experienced an infection in the current era. Methods All patients undergoing CIED replacement, upgrade, revision, or de novo cardiac resynchronization therapy (CRT-D) received standard of care antibiotic prophylaxis and were randomized 1:1 to receive TYRX or not. The primary endpoint was major CIED infection within 12 months of the procedure. Major infection was defined as an infection resulting in (1) system extraction or revision, (2) long-term suppressive antibiotic therapy, or (3) death. Data were analyzed using the Cox proportional hazards regression model. Results A total of 6,983 patients were randomized worldwide with 3,495 randomized to receive an envelope and 3,488 randomized to the control. At 12 months, 25 major infections (0.7%) were observed in the envelope group and 42 major infections (1.2%) in the control group, resulting in a 40% reduction of major infections (HR: 0.60, 95% CI: 0.36–0.98, P = 0.04). Of 63 infections assayed, causative pathogens were identified in 36 infections whereas cultures were negative in 27 cases. Staphylococcus species (n = 22) were the predominate pathogens and a 53% reduction was observed with the use of TYRX (Figure 1). Moreover, there was only 1 CIED pocket infection with Staphylococcus species in the envelope group compared with 14 pocket infections in the control group. A comparison of timing of infection in the envelope group showed the presence of 11 endocarditis/bacteremia infections at 103 ± 84 days compared with 14 pocket infections presenting at 70 ± 78 days from the procedure. Conclusion In this large randomized trial, the use of the TYRX Envelope containing rifampin and minocycline resulted in a significant reduction of major CIED infections and was effective against staphylococcal species, which are the predominant cause of pocket infections. Disclosures All Authors: No reported Disclosures.