Keeran Vickneson BMSc, MBChB , Ali Gharaviri PhD , Vinush Vigneswaran BEng, MSc , Johanna Tonko MD , Neil Bodagh BSc, MBChB , Magdalena Klis MD , Irum Kotadia MBBS, BSc , Matthew Wright MBBS, PhD , David E. Newby DM, PhD , Marc R. Dweck MD, PhD , Michelle C. Williams MBChB, PhD , Mark O’Neill MB BCh, BAO, DPhil , John Whitaker BM BCh, PhD , Steven E. Williams MBChB, PhD
{"title":"Peri-Atrial Adipose Tissue Inflammation in Atrial Fibrillation","authors":"Keeran Vickneson BMSc, MBChB , Ali Gharaviri PhD , Vinush Vigneswaran BEng, MSc , Johanna Tonko MD , Neil Bodagh BSc, MBChB , Magdalena Klis MD , Irum Kotadia MBBS, BSc , Matthew Wright MBBS, PhD , David E. Newby DM, PhD , Marc R. Dweck MD, PhD , Michelle C. Williams MBChB, PhD , Mark O’Neill MB BCh, BAO, DPhil , John Whitaker BM BCh, PhD , Steven E. Williams MBChB, PhD","doi":"10.1016/j.jacep.2025.04.023","DOIUrl":"10.1016/j.jacep.2025.04.023","url":null,"abstract":"<div><h3>Background</h3><div>Peri-atrial adipose tissue is associated with atrial fibrillation (AF). Increased peri-atrial adipose volume and attenuation, detected by cardiac computed tomography angiography (CTA), have been observed in patients with AF. However, the electrophysiological correlates of both peri-atrial adipose tissue volume and attenuation are unknown.</div></div><div><h3>Objectives</h3><div>This study sought to investigate the spatial relationship between peri-atrial adipose tissue, peri-atrial adipose tissue attenuation, and atrial electrophysiological remodeling.</div></div><div><h3>Methods</h3><div>Cardiac CTA was performed in 37 control subjects and 44 patients with AF. Left atrial bipolar voltage and conduction velocity were co-registered with cardiac CTA–derived peri-atrial adipose tissue segmentations. Mean adipose tissue volume and attenuation were compared with local voltage and conduction velocity measurements.</div></div><div><h3>Results</h3><div>Peri-atrial adipose tissue volume was greater in patients with AF (20.9 cm<sup>3</sup> vs 14.2 cm<sup>3</sup>; adjusted odds ratio: 1.11; 95% CI: 1.01-1.24), independent of left atrial volume indexed to body mass index, left atrial mass, age, sex, sleep apnea, and coronary heart disease. In patients with AF, areas with the highest burden of peri-atrial adipose tissue had lower voltage (1.75 ± 1.72 mV vs 2.11 ± 2.02 mV; <em>P</em> < 0.001) and conduction velocity (0.627 ± 0.55 ms<sup>–1</sup> vs 0.683 ± 0.48 ms<sup>–1</sup>; <em>P</em> < 0.001), compared with areas with the lowest burden of peri-atrial adipose tissue. Mean peri-atrial adipose tissue attenuation was similar in both groups. In patients with AF, low peri-atrial adipose tissue attenuation was weakly correlated with reduced bipolar voltage (1.69 ± 1.68 mV vs 2.16 ± 2.07 mV; <em>P</em> < 0.001) and conduction velocity (0.615 ± 0.47 ms<sup>–1</sup> vs 0.684 ± 0.43 ms<sup>–1</sup>; <em>P</em> < 0.001).</div></div><div><h3>Conclusions</h3><div>Peri-atrial adipose tissue volume was greater in patients with AF. Increased peri-atrial adipose tissue burden and reduced attenuation were spatially but weakly correlated with adverse electrophysiological remodeling in patients with AF.</div></div>","PeriodicalId":14573,"journal":{"name":"JACC. Clinical electrophysiology","volume":"11 9","pages":"Pages 1968-1979"},"PeriodicalIF":7.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144274894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daisuke Togashi MD, Shunsuke Uetake MD, Salah H. Alahwany MD, Yumi Katsume MD, Zachary T. Yoneda MD, MSCI, Giovanni E. Davogustto MD, MSCI, Christopher R. Ellis MD, George H. Crossley III MD, Travis D. Richardson MD, Arvindh N. Kanagasundram MD, Harikrishna Tandri MD, William G. Stevenson MD, Jay A. Montgomery MD
{"title":"Clinical Outcomes of Concurrent Ventricular Electrical Storm and Infection","authors":"Daisuke Togashi MD, Shunsuke Uetake MD, Salah H. Alahwany MD, Yumi Katsume MD, Zachary T. Yoneda MD, MSCI, Giovanni E. Davogustto MD, MSCI, Christopher R. Ellis MD, George H. Crossley III MD, Travis D. Richardson MD, Arvindh N. Kanagasundram MD, Harikrishna Tandri MD, William G. Stevenson MD, Jay A. Montgomery MD","doi":"10.1016/j.jacep.2025.05.005","DOIUrl":"10.1016/j.jacep.2025.05.005","url":null,"abstract":"<div><h3>Background</h3><div>Electrical storm (ES) is a cluster of sustained ventricular arrhythmias that may be caused by various triggers on the arrhythmic substrate. The association between infection and ES is unknown.</div></div><div><h3>Objectives</h3><div>This study sought to investigate the clinical profile and prognosis of concurrent ES and infection.</div></div><div><h3>Methods</h3><div>Study investigators retrospectively studied patients with ES between May 2004 and March 2022. Participants were divided into 2 groups: those with infection (infection group) and those without concurrent infection (noninfection group). The study compared clinical outcomes and prognoses.</div></div><div><h3>Results</h3><div>A total of 309 patients with ES were included; 68 had concurrent infection, and 28 of these patients had bacteremia. Among those with bacteremia, methicillin-resistant <em>Staphylococcus aureus</em> was the most common pathogen, with 9 patients (32.1%), and lead extraction was performed in 13 (46.4%). Among the patients who clearly did not have preceding infection, 15 (5.3%) developed bacteremia after ES. During the 2-year follow-up period, the infection group had significantly higher mortality than the noninfection group (log-rank <em>P</em> < 0.001). Multivariate logistic regression analysis identified bacteremia (OR: 5.23; 95% CI 1.91-15.02; <em>P</em> = 0.001) and decreased left ventricular ejection fraction (LVEF) (each 1% increase, OR: 0.95; 95% CI: 0.93-0.98; <em>P</em> = 0.002) as independent predictors of mortality.</div></div><div><h3>Conclusions</h3><div>Among patients with ES, those with concurrent infection have increased mortality. Of patients presenting without infection, >5% developed bacteremia after ES, thereby raising the possibility of iatrogenic infection during prolonged hospitalization. Bacteremia and decreased LVEF are independent predictors of mortality.</div></div>","PeriodicalId":14573,"journal":{"name":"JACC. Clinical electrophysiology","volume":"11 9","pages":"Pages 1911-1922"},"PeriodicalIF":7.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144600419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Isn’t It Too Early to Say That HPSD Is the Ideal Ablation Technique for Ablation of Ventricular Fibrillation?","authors":"Sanghamitra Mohanty MD, MS , Andrea Natale MD","doi":"10.1016/j.jacep.2025.05.027","DOIUrl":"10.1016/j.jacep.2025.05.027","url":null,"abstract":"","PeriodicalId":14573,"journal":{"name":"JACC. Clinical electrophysiology","volume":"11 9","pages":"Page 2077"},"PeriodicalIF":7.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"S-ICD Implantation Following TV-ICD","authors":"Vasileios Sousonis MD, PhD , Peggy Jacon MD , Fawzi Kerkouri MD, MPH , Rodrigue Garcia MD, PhD , Christelle Marquié MD , Walid Amara MD , Fréderic Anselme MD, PhD , Nicolas Badenco MD , Nathalie Behar MD , Mohamed Belhameche MD , Abdeslam Bouzeman MD , Samir Fareh MD , Benoît Guy-Moyat MD , Alexis Hermida MD, PhD , Jérome Hourdain MD , Laurence Jesel MD, PhD , Pierre Khattar MD , Ziad Khoueiry MD , Gabriel Laurent MD, PhD , Vladimir Manenti MD , Serge Boveda MD, PhD","doi":"10.1016/j.jacep.2025.04.020","DOIUrl":"10.1016/j.jacep.2025.04.020","url":null,"abstract":"<div><h3>Background</h3><div>Subcutaneous implantable cardioverter-defibrillators (S-ICDs) can be a viable option for patients with transvenous ICDs experiencing complications (rescue S-ICD).</div></div><div><h3>Objectives</h3><div>This study sought to evaluate the outcomes of rescue S-ICD implantation using data from the HONEST French nationwide S-ICD cohort.</div></div><div><h3>Methods</h3><div>All rescue S-ICD patients were identified. Outcomes (complications, reinterventions, and mortality) were compared between rescue and de novo S-ICD patients. Subgroup analyses were performed based on the implantation indication (infective vs noninfective) and the presence of abandoned leads.</div></div><div><h3>Results</h3><div>Among 4,924 patients in the HONEST cohort, 651 underwent rescue S-ICD implantation (295 with infective indications, 244 with abandoned leads). Over a follow-up of 4.2 ± 2.2 years, complications and reinterventions were similar in rescue and de novo S-ICD patients (22.6% vs 21.0%; <em>P</em> = 0.35 and 8.7% vs 7.2%; <em>P</em> = 0.17, respectively), in infective and noninfective rescue S-ICD patients (21.6% vs 23.5%; <em>P</em> = 0.55 and 8.9% vs 8.6%; <em>P</em> = 0.90, respectively) and in patients with abandoned and extracted leads (24.3% vs 21.7%; <em>P</em> = 0.46 and 8.3% vs 9.0%; <em>P</em> = 0.77, respectively). Mortality was higher in rescue compared to de novo S-ICD patients (16.9% vs 10.2%; <em>P</em> < 0.001) and in rescue S-ICD patients with infective indications (29.2% vs 6.7%; <em>P</em> < 0.001) and extracted leads (21.9% vs 8.6%; <em>P</em><span> < 0.001), mainly due to a higher burden of comorbidities, as none of these parameters was independently associated with mortality in multivariate analyses. No S-ICD–related deaths were observed.</span></div></div><div><h3>Conclusions</h3><div><span>Rescue S-ICD implantation is an acceptable option for patients with device-related complications. Lead abandonment in the setting of a noninfective indication appears to be safe. (S-ICD French Cohort Study [HONEST]; </span><span><span>NCT05302115</span><svg><path></path></svg></span>)</div></div>","PeriodicalId":14573,"journal":{"name":"JACC. Clinical electrophysiology","volume":"11 9","pages":"Pages 2049-2060"},"PeriodicalIF":7.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144002343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Corinne Isenegger MD , Diego Mannhart MD , Simon Weidlich MD , Jonas Brügger MD , Teodor Serban MD , Fabian Jordan MD , Philipp Krisai MD , Sven Knecht DSc , Nicolas Schaerli MD , Behnam Subin MD , Luke Mosher MD , Jeanne du Fay de Lavallaz MD, PhD , Beat Schaer MD , Felix Mahfoud MD , Michael Kühne MD , Christian Sticherling MD , Patrick Badertscher MD
{"title":"Inconclusive Single-Lead ECGs From Smart-Devices","authors":"Corinne Isenegger MD , Diego Mannhart MD , Simon Weidlich MD , Jonas Brügger MD , Teodor Serban MD , Fabian Jordan MD , Philipp Krisai MD , Sven Knecht DSc , Nicolas Schaerli MD , Behnam Subin MD , Luke Mosher MD , Jeanne du Fay de Lavallaz MD, PhD , Beat Schaer MD , Felix Mahfoud MD , Michael Kühne MD , Christian Sticherling MD , Patrick Badertscher MD","doi":"10.1016/j.jacep.2025.04.027","DOIUrl":"10.1016/j.jacep.2025.04.027","url":null,"abstract":"<div><h3>Background</h3><div>Multiple smart devices can record single-lead electrocardiograms (SL-ECGs) with automated rhythm classification. The impact of pre-existing baseline ECG anomalies on the accuracy of automated rhythm classification remains largely unknown.</div></div><div><h3>Objectives</h3><div>This study sought to compare the presence of predefined ECG anomalies and their impact on rhythm classification ability of 5 commercially available FDA and CE-marked wearable smart-devices.</div></div><div><h3>Methods</h3><div>This prospective study included consecutive patients undergoing electrophysiological procedures at a tertiary referral center. Each participant obtained a 12-lead ECG followed by SL-ECGs with 5 different smart devices (AliveCor KardiaMobile, Apple Watch 6, Fitbit Sense, Samsung Galaxy Watch 3, and Withings ScanWatch). Two independent cardiologists performed manual rhythm classification and assessed the following ECG anomalies: ventricular pacing, conduction delay, low voltage, artifacts, and premature atrial or ventricular complexes.</div></div><div><h3>Results</h3><div>A total of 256 participants were included (29% female, mean age 66 years) generating 1,280 recorded SL-ECGs. Of these, 242 SL-ECGs (19%) were classified as inconclusive by at least 1 smart device. The presence of any ECG anomaly was significantly higher in inconclusive vs conclusive SL-ECGs, with 74% vs 42%; <em>P</em> < 0.001. ORs with 95% CIs for inconclusive classification by ECG anomaly were ventricular pacing 6.35 [3.84-10.61], conduction delay 2.42 [1.82-3.22], low voltage 2.37 [1.75-3.21], minor artifact 1.72 [1.17-2.51], major artifact 10.62 [6.78-16.99], premature atrial complex 2.23 [1.29-3.74], and premature ventricular complex 1.94 [1.29-2.89]. Notable differences were found between the assessed smart devices.</div></div><div><h3>Conclusions</h3><div>Automated rhythm classification is highly susceptible to baseline ECG anomalies. This study provides insights into the most appropriate patient population for smart device–based arrhythmia monitoring and offers guidance for selecting the optimal smart device tailored to individual patient characteristics.</div></div>","PeriodicalId":14573,"journal":{"name":"JACC. Clinical electrophysiology","volume":"11 9","pages":"Pages 2003-2011"},"PeriodicalIF":7.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144325703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}