Background: The probability of spontaneous conversion (SCV) to sinus rhythm (SR) in patients presenting to the emergency department (ED) with hemodynamically stable, symptomatic atrial fibrillation (AF) is not well known. Objective: To develop and validate a score to determine the probability of SCV to SR in patients presenting to the ED with hemodynamically stable, symptomatic AF. Methods: This retrospective, observational study enrolled consecutive patients admitted with AF to the ED. Variables associated to SCV during a 6 h “wait-and-see” approach were used to develop and validate a score to determine the probability of SCV to SR in AF patients. The study was divided in two phases: (1) score development and (2) validation of the predictive score. Results: Out of 748 eligible patients, 446 patients were included in the derivation cohort, whereas 302 patients were included in the validation cohort. In the derivation cohort, based on multivariable logistic analysis, a probability score weight was developed including: previous SCV (3 points), AF-related symptom duration < 24 h (5 points), age ≥ 65 years (3 points) and female sex (2 points). The score allowed us to divide patients in three groups based on the probability of SCV to SR during the 6 h observation period. The probability prediction model showed an area under the curve (AUC) of 0.707 and 0.701 in the derivation and validation cohorts, respectively. Conclusions: The proposed score allowed us to predict SCV probability with good accuracy and may help physicians in tailoring AF management in an effective and timely manner.

Pediatric cardiomyopathies (CMs) and electrical diseases constitute a heterogeneous spectrum of disorders distinguished by structural and electrical abnormalities in the heart muscle, attributed to a genetic variant. They rank among the main causes of morbidity and mortality in the pediatric population, with an annual incidence of 1.1–1.5 per 100,000 in children under the age of 18. The most common conditions are dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM). Despite great enthusiasm for research in this field, studies in this population are still limited, and the management and treatment often follow adult recommendations, which have significantly more data on treatment benefits. Although adult and pediatric cardiac diseases share similar morphological and clinical manifestations, their outcomes significantly differ. This review summarizes the latest evidence on genetics, clinical characteristics, management, and updated outcomes of primary pediatric CMs and electrical diseases, including DCM, HCM, arrhythmogenic right ventricular cardiomyopathy (ARVC), Brugada syndrome (BrS), catecholaminergic polymorphic ventricular tachycardia (CPVT), long QT syndrome (LQTS), and short QT syndrome (SQTS).

Background: Artificial intelligence (AI) is poised to significantly impact the future of cardiology and electrophysiology, offering new tools to interpret complex datasets, improve diagnosis, optimize clinical workflows, and personalize therapy. ChatGPT-4o, a leading AI-based language model, exemplifies the transformative potential of AI in clinical research, medical education, and patient care. Aim and Methods: In this paper, we present an exploratory dialogue with ChatGPT to assess the role of AI in shaping the future of cardiology, with a particular focus on arrhythmia management and cardiac electrophysiology. Topics discussed include AI applications in ECG interpretation, arrhythmia detection, procedural guidance during ablation, and risk stratification for sudden cardiac death. We also examine the risks associated with AI use, including overreliance, interpretability challenges, data bias, and generalizability. Conclusions: The integration of AI into cardiovascular care offers the potential to enhance diagnostic accuracy, tailor interventions, and support decision-making. However, the adoption of AI must be carefully balanced with clinical expertise and ethical considerations. By fostering collaboration between clinicians and AI developers, it is possible to guide the development of reliable, transparent, and effective tools that will shape the future of personalized cardiology and electrophysiology.

The feasibility and effectiveness of virtual visits (VVs) for cardiac electrophysiology patients are still unknown. We aimed to assess the feasibility and effectiveness of VVs as compared to in-person visits, and to describe patient experience with virtual care in clinical electrophysiology. We prospectively enrolled patients scheduled to receive a clinical electrophysiology evaluation, dividing them in two groups: a VV group and an in-person visit group. Outcomes of interest were: (1) improvement in symptoms after the index visit, (2) disappearance of remote monitoring (RM) alerts at follow-up, (3) necessity of urgent hospitalization and (4) patient satisfaction measured by the Patient Satisfaction Questionnaire-18 (PSQ-18). This study included 162 patients in the VV group and 185 in the in-office visit group. As compared to in-person visits, VVs resulted in a similar reduction in RM alerts (51.5% vs. 43.2%, p-value 0.527) and in symptomatic patient rates (73.6% vs. 56.9%, p-value 0.073) at follow-up, without differences in urgent hospitalization rates (p-value 0.849). Patient satisfaction with VVs was higher than with in-person evaluation (p-value < 0.012). VVs proved to be as feasible and as effective as in-person visits, with high patient satisfaction. A hybrid model of care including VVs and in-person visits may become the new standard of care after the COVID-19 pandemic is over.

Ventricular tachycardias (VTs) and electrical storms (ES) are life-threatening conditions mostly seen in the setting of structural heart disease (SHD). Traditional management strategies, predominantly centered around pharmacological interventions with antiarrhythmic drugs, have demonstrated limited efficacy in these cases, whereas catheter ablation is related with more favorable outcomes. However, patients with hemodynamically unstable, recurrent VT or ES may present cardiogenic shock (CS) that precludes the procedure, and catheter ablation in patients with SHD portends a multifactorial intrinsic risk of acute hemodynamic decompensation (AHD), that is associated with increased mortality. In this setting, the use of mechanical circulatory support (MCS) systems allow the maintenance of end-organ perfusion and cardiac output, improving coronary flow and myocardial mechanics, and minimizing the effect of cardiac stunning after multiple VT inductions or cardioversion. Although ablation success and VT recurrence are not influenced by hemodynamic support devices, MCS promotes diuresis and reduces the incidence of post-procedural kidney injury. In addition, MCS has a role in post-procedural mortality reduction at long-term follow-up. The current review aims to provide a deep overview of the rationale and modality of MCS in patients with refractory arrhythmias and/or undergoing VT catheter ablation, underlining the importance of patient selection and timing for MCS and summarizing reported clinical experiences in this field.

Purpose: SGLT2i role in the treatment of heart failure (HF) regardless of clinical presentation and left ventricular ejection fraction (LVEF) has been widely proven and real-world data regarding patients with HF and ischemic heart disease (IHD) and, in particular with recent acute coronary syndrome (ACS) and de novo HF, are lacking. We aim to evaluate the occurrence of the composite of cardiovascular death (CV)/ HF hospitalization (HFH), all-cause death, CV death and HFH at 6 months follow up, in patients with HF due to IHD as well as in recent ACS who introduced SGLT2i during the index hospitalization. Methods: The present is an observational, prospective, single center study, enrolling patients with a diagnosis of HF due to IHD as primary etiology. According to SGLT2i introduction timing, two groups were created: pre-discharge (G1) or post-discharge (G2) introduction. A sub-analysis in patients admitted due to ACS has been performed. Results: A total of 222 consecutive patients have been enrolled from April 2022 to April 2024 and were followed-up for a period of 6 months. At multivariate Cox regression analysis, statistically significant differences have been observed between the two groups in terms of the composite CV death/HFH (HR = 0.24; 95%CI [0.101–0.564]; p = 0.001), all-cause death (HR = 0.27; 95% CI [0.100–0.725]; p = 0.009), CV death (HR = 0.32; 95%CI [0.101–0.999] p = 0.045) and HFH (HR = 0.31; 95%CI [0.098–0.963]; p = 0.043). Patients with ACS treated with SGLT2i before discharge showed a reduced rate of CV death/HFH (log-rank p = 0.008), CV death (log-rank p = 0.015) and all-cause death (log-rank p = 0.005) compared to patients who were not treated with SGLT2i before discharge. In this subpopulation, no differences have been observed in terms of HFH (log-rank p = 0.155). Significant differences in term of CV death/HFH (log-rank p = 0.039) have been observed in de novo HF patients, but not in terms of the other study endpoints. Conclusions: The early in-hospital introduction of SGLT2i reduced the occurrence of the composite CV death/HFH, all-cause death, CV death and HFH in patients with ischemic cardiomyopathy. In the subgroup analysis of patients admitted due to ACS, the introduction of SGLT2i during the index hospitalization resulted in a significant reduction of the composite CV death/HFH, CV death and all-cause death, but not in HFH. The same therapeutic strategy resulted in reduced rate of CV death/HFH in the de novo HF subpopulation.