Indian Pacing and Electrophysiology Journal最新文献

{"title":"Think SCN5A: A novel variant causing multifocal Purkinje PVCs and dilated cardiomyopathy.","authors":"Daniel B Hanna, Andrew Kossack, Juan Perez-Hernandez, Rachael Venn, Luis Rechani, Samantha Sublette, Viviana Navas, Dinesh Sharma","doi":"10.1016/j.ipej.2026.02.003","DOIUrl":"10.1016/j.ipej.2026.02.003","url":null,"abstract":"<p><strong>Background: </strong>Multifocal ectopic Purkinje-related premature contractions (MEPPC) represent a rare SCN5A-associated channelopathy characterized by high-burden, multifocal premature ventricular contractions (PVCs) arising from the His-Purkinje system, often leading to reversible left ventricular dysfunction.</p><p><strong>Case summary: </strong>We describe a young male with a MEPPC-like phenotype and a novel SCN5A (c.655G > A, p.Arg222Gln) variant presenting with multifocal Purkinje and papillary muscle PVCs and left ventricular systolic dysfunction. Sequential focal ablations reduced the dominant ectopic burden, while adjunctive flecainide therapy further suppressed residual Purkinje activity and improved ventricular function.</p><p><strong>Conclusion: </strong>In young patients with multifocal Purkinje PVCs and unexplained cardiomyopathy, consider SCN5A mutation. Combined ablation and sodium-channel blockade could be considered as a treatment option.</p>","PeriodicalId":35900,"journal":{"name":"Indian Pacing and Electrophysiology Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146137868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aortic valve artifact during ventricular tachycardia originating from the outflow tract.","authors":"Yui Kitami, Tsukasa Kamakura, Masao Matsuda, Kengo Kusano","doi":"10.1016/j.ipej.2026.02.004","DOIUrl":"https://doi.org/10.1016/j.ipej.2026.02.004","url":null,"abstract":"<p><p>A 61-year-old male with dilated cardiomyopathy underwent electrophysiological study for incessant ventricular tachycardia (VT). Although early and late diastolic potentials were recorded in the aortic sinus during VT, electrograms obtained during the sinus beat revealed two components following the QRS, suggesting that aortic valve artifacts were the cause of the prepotentials during VT. This case underscores the importance of distinguishing valve artifacts from true arrhythmogenic potentials in left ventricular outflow tract mapping.</p>","PeriodicalId":35900,"journal":{"name":"Indian Pacing and Electrophysiology Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146120469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence in atrial fibrillation - Timely diagnosis, risk assessment and personalized management.","authors":"Kushal Chatterjee, Aaryamaan Verma, Erick Godinez, Daniel Joseph Gonzalez, Rahul Devathu, Mahmood I Alhusseini, Muhammad Fazal, Tina Baykaner","doi":"10.1016/j.ipej.2026.01.011","DOIUrl":"10.1016/j.ipej.2026.01.011","url":null,"abstract":"<p><p>Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia worldwide and is associated with substantial morbidity and mortality, including stroke, systemic embolism, heart failure, and dementia. Timely diagnosis, accurate risk stratification, and personalized management are necessary to improving outcomes. Recent advancements in artificial intelligence (AI) have expanded the potential for AF care, leveraging machine and deep learning approaches for enhanced detection, risk assessment, and therapeutic guidance. In this review, we summarize the clinical integration of AI into AF management across three domains. First, AI-enhanced electrocardiography (ECG) and wearable photoplethysmography devices allow early detection and long-term, non-invasive screening of AF, including identification of subclinical or paroxysmal AF from routine sinus rhythm recordings. Second, AI models have the potential to refine stroke risk stratification and personalize anticoagulation decision-making by integrating multidimensional clinical data, providing individualized risk assessments beyond traditional scoring systems like CHA₂DS₂-VASc. Finally, AI has been increasingly integrated into procedural planning and execution for AF ablation, helping to identify optimal ablation targets and predict post-procedural arrhythmia recurrence risk for a given rhythm control strategy, based on imaging and biosignal-derived features. In summary, the emerging integration of machine learning approaches into AF management highlights its transformative potential to offer earlier detection, more precise and personalized risk stratification, and tailored therapeutic strategies and patient follow up. Despite these advancements, the clinical implementation of AI in AF management remains primitive, requiring large-scale validation, supplemental clinical oversight, and regulatory guidance to ensure safe and effective integration into our daily practices.</p>","PeriodicalId":35900,"journal":{"name":"Indian Pacing and Electrophysiology Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146087424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Failure to treat- how a broken healthcare system puts patients and practitioners at risk","authors":"Sanjeev Saksena","doi":"10.1016/j.ipej.2025.12.014","DOIUrl":"10.1016/j.ipej.2025.12.014","url":null,"abstract":"","PeriodicalId":35900,"journal":{"name":"Indian Pacing and Electrophysiology Journal","volume":"26 1","pages":"Pages 3-4"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145725950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ganglionated plexus ablation of the left atrium for refractory vasovagal syncope: Analysis of the Safety, Effectiveness and Related Factors","authors":"Nannan Ge,&nbsp;Yao Chen,&nbsp;Jie Han","doi":"10.1016/j.ipej.2025.12.017","DOIUrl":"10.1016/j.ipej.2025.12.017","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the safety and efficacy of ganglionated plexus ablation of the left atrium for patients with refractory vasovagal syncope.</div></div><div><h3>Methods</h3><div>From May 2019 to December 2023, 39 patients with refractory vasovagal syncope (VVS) underwent ganglionated plexus (GP) ablation at our institution. Associations between post-ablation VVS recurrence and factors including average heart rate on Holter monitoring, preoperative head-up tilt table test (HUTT), for GP identification methods, and sex were analyzed.</div></div><div><h3>Results</h3><div>During the follow-up period 18.7 months, 30 of the 39 patients (76.9 % vs 23.1 %, p = 0.001) were symptom-free after GP ablation. The remaining 9 patients exhibited significant symptomatic improvement, with a marked reduction in the number of syncopal episodes (2.11 ± 1.27 vs 7.13 ± 3.57, p = 0.00). The mean heart rate after procedure (87.10 ± 11.22 bpm) was significantly higher than pre-procedures (70.33 ± 7.56 bpm, p = 0.00), indicating effective VVS control. Preoperative HUTT classifications and GP localization methods showed no significant association with recurrence, although female sex was associated with a higher likelihood of recurrent VVS. No procedure-related complication occurred.</div></div><div><h3>Conclusion</h3><div>GP ablation of the left atrium is a safe and effective treatment for patients with refractory vasovagal syncope.</div></div>","PeriodicalId":35900,"journal":{"name":"Indian Pacing and Electrophysiology Journal","volume":"26 1","pages":"Pages 15-19"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145776014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"APHRS 2025, Yokohama: from Look East to Act East in science!","authors":"Mukund A. Prabhu","doi":"10.1016/j.ipej.2026.01.013","DOIUrl":"10.1016/j.ipej.2026.01.013","url":null,"abstract":"","PeriodicalId":35900,"journal":{"name":"Indian Pacing and Electrophysiology Journal","volume":"26 1","pages":"Pages 1-2"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146097446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An interesting interface: Ingenious improvisation meets troubleshooting, lessons learned and thoughts to be shared","authors":"Anindya Ghosh ,&nbsp;Chenni S. Sriram ,&nbsp;Deep Chandh Raja","doi":"10.1016/j.ipej.2026.01.008","DOIUrl":"10.1016/j.ipej.2026.01.008","url":null,"abstract":"","PeriodicalId":35900,"journal":{"name":"Indian Pacing and Electrophysiology Journal","volume":"26 1","pages":"Pages 50-52"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145985853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding Artificial Intelligence (AI) for the Electrophysiologist","authors":"Charulatha Ramanathan ,&nbsp;Natalia A. Trayanova","doi":"10.1016/j.ipej.2026.01.010","DOIUrl":"10.1016/j.ipej.2026.01.010","url":null,"abstract":"<div><div>Artificial intelligence (AI) is increasingly incorporated into clinical electrophysiology, Applications now span automated ECG interpretation, arrhythmia detection, risk stratification, procedural planning, and workflow support. At the same time, variability in methodological rigor, validation standards, and clinical integration has led to uncertainty regarding how these tools should be interpreted and used in clinical practice.</div><div>This review provides a practical primer on AI for electrophysiologists, with the goal of supporting informed evaluation and responsible clinical adoption. We outline the historical evolution of AI, from rule-based systems to contemporary machine learning, deep learning, and emerging generative AI and large language models. Core methodological concepts are reviewed, with emphasis on data provenance, labeling, validation strategy, and the distinctions between analytical performance and clinical utility. Common failure modes are examined, including bias and lack of representativeness, overfitting, limited interpretability, workflow misalignment, and overstatement of clinical readiness.</div><div>We further discuss how regulatory agencies evaluate AI-based electrophysiology tools, what regulatory clearance establishes, and what it does not. Particular attention is given to the implications of static model review, device-specific validation, and intended use constraints, and to the continuing responsibility of clinicians in appropriate deployment and oversight.</div><div>Finally, we consider future directions for AI in electrophysiology, including individualized modeling approaches, expert decision support in resource-constrained settings, and applications aimed at improving efficiency and access to care. This review provides electrophysiologists with a practical framework to interpret current AI evidence and to actively guide how AI is evaluated, adopted, and translated to clinical practice.</div></div>","PeriodicalId":35900,"journal":{"name":"Indian Pacing and Electrophysiology Journal","volume":"26 1","pages":"Pages 79-88"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146100851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Left bundle branch area pacing: For all and by all! No longer the exclusive domain of the electrophysiologist!","authors":"Anindya Ghosh,&nbsp;Ulhas M. Pandurangi","doi":"10.1016/j.ipej.2026.02.008","DOIUrl":"10.1016/j.ipej.2026.02.008","url":null,"abstract":"","PeriodicalId":35900,"journal":{"name":"Indian Pacing and Electrophysiology Journal","volume":"26 1","pages":"Page 49"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146167253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fellow's Corner (CIED Case): Repeated tachycardia notifications on a smartwatch – what is your diagnosis?","authors":"Justin Phan,&nbsp;Martin Green","doi":"10.1016/j.ipej.2025.12.018","DOIUrl":"10.1016/j.ipej.2025.12.018","url":null,"abstract":"","PeriodicalId":35900,"journal":{"name":"Indian Pacing and Electrophysiology Journal","volume":"26 1","pages":"Pages 68-70"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}