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Background: The complexity of leadless pacemaker (LP) implantation varies widely. However, the predictive factors determining this difficulty are poorly understood. Objective: The purpose of this study was to evaluate the factors influencing LP implantation difficulty, specifically procedural time during right atrial (RA) and right ventricular (RV) manipulation, based on patient background, cardiac function, and anatomic characteristics. Methods: Analysis included LP implantation cases between 2017 and 2023, excluding the initial 3 implants performed by each operator. The relevance of patient background, cardiac function, and anatomic features on procedural and fluoroscopy times was evaluated. Results: Fifty-four patients (mean age 82.2 ± 10.0 years; 57.4% male) were included in the study. Median procedural and fluoroscopy time was 45.8 minutes and 16.0 minutes, respectively, with an average of 2.0 ± 1.4 device deployments. Univariate analysis showed associations between procedural time and older age, RA and RV diameter, and severity of tricuspid regurgitation (TR). After adjustment for physician and potential contributing factors, RV dilation (midventricular diameter ≥35 mm) and severe TR were identified as independent predictors of prolonged procedural time. Medical history exhibited no association with procedural time. Consistent results were observed in analyses using fluoroscopy time as the outcome. Conclusion: RV dilation and severe TR were associated with prolonged procedural time for LP implantation. Anatomic features obtained from preprocedural echocardiography could provide valuable insights into both the safety and efficiency of LP implantation, thereby enhancing tailored treatment strategies for patients undergoing pacemaker implantation.
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BACKGROUND: Various treatment approaches for atrial fibrillation (AF) have demonstrated improved health status, yet the significance of these therapeutic interventions in individual patients remains unclear. OBJECTIVE: This study aimed to evaluate health status changes in patients with early AF, focusing on those who experience clinically significant deterioration after treatment initiation. METHODS: We analyzed data from a multicenter, prospective registry of newly diagnosed patients with AF. One-year changes in health status across different treatment strategies were assessed by the Atrial Fibrillation Effect on QualiTy-of-life Overall Summary (AFEQT-OS) score. Clinically relevant deterioration and improvement in health status were defined as ≥5-point decrease and increase in AFEQT-OS score, respectively; no change was -5 to 5 points. RESULTS: Overall, 1960 patients with AF were evaluated. Mean AFEQT-OS scores at baseline and 1-year follow-up were 76.7 ± 17.7 and 85.4 ± 14.8, respectively. Although most patients (53.9%) experienced clinically important improvement, a considerable proportion had no change (28.7%) or deterioration (17.4%) in their health status. Proportions of patients with no change or deterioration varied by treatment strategy: 59.9%, 53.9%, and 32.0% in rate control, antiarrhythmic drug, and catheter ablation groups, respectively. The multivariable model identified older age, female sex, heart failure, coronary artery disease, and higher baseline AFEQT-OS score as independent predictors of worsening health status, regardless of treatment strategy. CONCLUSION: Many patients with early AF experience worsening or no change in health status irrespective of treatment strategy. Standardizing patients' health status assessment, especially for patients with comorbidities, may aid in patients' selection and their outcomes.
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Background Catheter ablation (CA) for atrial fibrillation (AF) is preferred for paroxysmal AF (PAF) but selectively performed in patients with persistent AF (PersAF). This study aimed to investigate the prognostic differences and consequences of CA based on the AF type. Methods and Results Data from a multicenter AF cohort study were analyzed, categorizing patients as PAF or PersAF according to AF duration (≤7 or >7 days, respectively). A composite of all-cause death, heart failure hospitalization, stroke, and bleeding events during 2-year follow-up and changes in the Atrial Fibrillation Effect on Quality-of-life score were compared. Additionally, propensity score matching was performed to compare clinical outcomes of patients with and without CA in both AF types. Among 2788 patients, 51.6% and 48.4% had PAF and PersAF, respectively. Patients with PersAF had a higher incidence of the composite outcome (12.8% versus 7.2%; P<0.001) and smaller improvements in Atrial Fibrillation Effect on Quality-of-life scores than those with PAF. After adjusting for baseline characteristics, PersAF was an independent predictor of adverse outcomes (adjusted hazard ratio, 1.35 [95% CI, 1.30-1.78], P=0.031) and was associated with poor improvements in Atrial Fibrillation Effect on Quality-of-life scores. Propensity score matching analysis showed that the CA group had significantly fewer adverse events than the medication group among patients with PAF (odds ratio, 0.31 [95% CI, 0.18-0.68]; P=0.002). Patients with PersAF showed a similar but nonsignificant trend. Conclusions PersAF is a risk factor for worse clinical outcomes, including patients' health status. CA is associated with fewer adverse events, although careful consideration is required based on the AF type.
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Fibrilación Atrial , Ablación por Catéter , Insuficiencia Cardíaca , Humanos , Fibrilación Atrial/diagnóstico , Fibrilación Atrial/cirugía , Estudios de Cohortes , Pronóstico , Ablación por Catéter/efectos adversosRESUMEN
Background: The relationship between left ventricular diastolic dysfunction (LVDD) and paroxysmal atrial fibrillation (PAF) remains unclear because of a lack of standard measures to evaluate LVDD. Accordingly, we examined the association between the prevalence of PAF and each LVDD grade determined according to the latest American Society of Echocardiography guidelines. MethodsâandâResults: In all, 2,063 patients without persistent AF who underwent echocardiography at Saitama Municipal Hospital from July 2016 to June 2017 were included in the study. Patients were divided into LVDD 6 categories: No-LVDD (n=1,107), Borderline (n=392), Grade 1 (n=204), Indeterminate (n=62), Grade 2 (n=254), and Grade 3 (n=44). PAF was documented in 111 (10.0%), 81 (20.7%), 28 (13.7%), 6 (9.7%), 52 (20.5%), and 24 (54.5%) patients in the No-LVDD, Borderline, Grade 1, Indeterminate, Grade 2, and Grade 3 categories, respectively. PAF prevalence was higher in patients with Grade 3 LVDD across the whole study population. Subgroup analyses showed that the prevalence of PAF increased with increased LVDD grade in patients with reduced left ventricular ejection fraction. This relationship was significant in multivariate analysis including various patient characteristics. Conclusions: LVDD severity determined on the basis of the latest echocardiographic criteria was associated with the prevalence of PAF. The present findings shed light on the development of new therapeutic markers for PAF.