Heart Rhythm O2最新文献

{"title":"ID: 4342339 DEVELOPMENT AND QUALITATIVE EVALUATION OF YOUCONTROL-AFIB: A DIGITAL HEALTH INTERVENTION TO PROMOTE PHYSICAL ACTIVITY IN PERSONS WITH ATRIAL FIBRILLATION","authors":"Matthew Kalscheur, Anna Lonergan, Erin Allon, Lindsay Ferris, Kat Phelps, Kenneth Croes, Kelly Balon, Justin Sydnor, Mellanie T. Hills, David D. McManus, Matthew Tattersall","doi":"10.1016/j.hroo.2025.07.071","DOIUrl":"10.1016/j.hroo.2025.07.071","url":null,"abstract":"","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"6 9","pages":"Page S27"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144989432","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":"ID: 4348251 REAL-TIME BLOOD GLUCOSE PREDICTION USING HEART RATE VARIABILITY FEATURES DERIVED FROM SINGLE-LEAD ECG","authors":"Yenn-Jiang Lin, Chia-Hsin Chiang, Chih-Min Liu, Men-Tzung Lo, Fa-Po Chung, Chen Lin, Shih-Ann Chen","doi":"10.1016/j.hroo.2025.07.039","DOIUrl":"10.1016/j.hroo.2025.07.039","url":null,"abstract":"","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"6 9","pages":"Page S8"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144989510","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":"ID: 4334817 MACHINE LEARNING PREDICTING THROMBOEMBOLIC RISK IN PATIENTS WITH RECENTLY DIAGNOSED AF: PROSPECTIVE STUDY (2015-2021)","authors":"Stijn Evens, Josep-Lluis Clua-Espuny, Francisco M. Martin-Lujan, Jorgina Lucas-Noll, Jordi Duch-Gavalda, David Verde, Alba Hernandez-Pinilla","doi":"10.1016/j.hroo.2025.07.050","DOIUrl":"10.1016/j.hroo.2025.07.050","url":null,"abstract":"","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"6 9","pages":"Page S14"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144989662","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":"ID: 4343067 ARTIFICIAL INTELLIGENCE ELECTROCARDIOGRAPHY PREDICTS UNDIAGNOSED HYPERTROPHIC CARDIOMYOPATHY IN POST-HOC ANALYSIS OF CARDIAC ARREST SURVIVORS","authors":"William Swain, John R. Giudicessi, Jeffrey Geske, Darrell Newman, Johan M. Bos, Shahid Karim, Peter A. Noseworthy, Zachi I. Attia, Paul A. Friedman, Adelaide Arruda-Olson, Michael J. Ackerman, Steve Ommen, Konstantinos C. Siontis","doi":"10.1016/j.hroo.2025.07.094","DOIUrl":"10.1016/j.hroo.2025.07.094","url":null,"abstract":"","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"6 9","pages":"Page S40"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144989862","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":"ID: 4347947 HEART RATE CONCORDANCE BETWEEN ELECTRONIC TEXTILE AND STANDARD CARDIOVASCULAR MONITORING TECHNOLOGIES IN AMBULATORY AND CRITICAL CARE PATIENTS","authors":"Meysam Pirbaglou, Alireza Hosseinzadeh, Naser Movahhedinia, Aamir Jeewa, Bhavikkumar Langanecha, Diana Balmer-Minnes, Arezoo Karimizadeh, Milad Alizadeh-Meghrazi, Yaariv Khaykin","doi":"10.1016/j.hroo.2025.07.090","DOIUrl":"10.1016/j.hroo.2025.07.090","url":null,"abstract":"","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"6 9","pages":"Page S37"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144989933","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":"SILENT BURDEN: HIGH PREVALENCE OF UNDIAGNOSED SLEEP APNEA IN PACEMAKER PATIENTS","authors":"Emna Allouche, Ahmed Chetoui, Wissal Jomni, Mohamed Selmen Aissa, Faten Boudiche, Syrine Neji, Malek El Arbi, Wejdène Ouechtati, Habib Ben Ahmed, Leila Bezdah","doi":"10.1016/j.hroo.2025.08.018","DOIUrl":"10.1016/j.hroo.2025.08.018","url":null,"abstract":"","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"6 9","pages":"Page 1480"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094938","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":"Enhancing explainability in clinical deep-learning models: Latent-space variable decoding is superior to gradient-weighted class activation mapping","authors":"Richard T. Carrick MD, PhD ,&nbsp;Ethan J. Rowin MD ,&nbsp;Alessio Gasperetti MD, PhD ,&nbsp;Christopher Madias MD ,&nbsp;Martin Maron MD ,&nbsp;Katherine C. Wu MD","doi":"10.1016/j.hroo.2025.06.022","DOIUrl":"10.1016/j.hroo.2025.06.022","url":null,"abstract":"<div><h3>Background</h3><div>Deep-learning models designed to assist with clinical decision making abound in cardiology. However, the “black box” nature of these models limits physicians’ ability to use them to cross-check clinical gestalt when evaluating model predictions. Analytical techniques such as the popular gradient-weighted class activation mapping (Grad-CAM) may provide insight into model explainability, but the reliability and reproducibility of these techniques have not been studied.</div></div><div><h3>Objective</h3><div>To perform a rigorous assessment of the explainability offered by Grad-CAM, with comparison to alternative saliency methods provided by intrinsicly explainable deep-learning models.</div></div><div><h3>Methods</h3><div>We examined a well-phenotyped cohort of 1930 patients with hypertrophic cardiomyopathy (HCM) and available electrocardiographic waveform data. Novel deep-learning models were developed for the prediction of 2 high-risk HCM features: left ventricular (LV) apical aneurysm and massive LV hypertrophy. Saliency analysis was performed using (1) Grad-CAM and (2) latent-space variable decoding (LSVD).</div></div><div><h3>Results</h3><div>Deep-learning models amenable to Grad-CAM– and LSVD-based saliency analysis demonstrated comparable performances in the identification of LV apical aneurysm (C statistic 0.95 vs 0.93) and massive LV hypertrophy (C statistic 0.82 vs 0.83) during holdout testing. However, while Grad-CAM produced highly variable visual assessments of model attention and offered little insight into the models’ underlying decision-making processes, LSVD allowed direct visualization of those electrocardiographic characteristics that differentiated patients with and without the high-risk HCM features of interest. In addition, Kolmogorov-Smirnov goodness-of-fit testing of latent-space variables offered a method for prospectively assessing the likelihood of deep-learning model overfitting.</div></div><div><h3>Conclusion</h3><div>Deep-learning models amenable to LSVD analysis offered more robust explainability than did models amenable to the popular Grad-CAM analytical technique while offering comparable predictive performance.</div></div>","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"6 9","pages":"Pages 1248-1258"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098442","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":"FETAL AND MATERNAL OUTCOMES IN PREGNANT WOMEN WITH ARRHYTHMIAS: IS PRETERM LABOR MORE COMMON? A RETROSPECTIVE ANALYSIS","authors":"Samir Sorour,&nbsp;Ahmed El-Rossassy,&nbsp;Ahmed Samy Shabib,&nbsp;Ghada D. Mustafa,&nbsp;Kirellos Mikhail,&nbsp;Hany Samir Assaad,&nbsp;Sheref Elseidy,&nbsp;Eman Samir,&nbsp;Rawan Ashraf,&nbsp;Mervat Aboulmaaty","doi":"10.1016/j.hroo.2025.08.010","DOIUrl":"10.1016/j.hroo.2025.08.010","url":null,"abstract":"","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"6 9","pages":"Page 1477"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098814","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":"Management and outcome of different types of ventricular tachycardia associated with hypokalemia","authors":"Micaela Ebert MD,&nbsp;Ines Masmoudi MD,&nbsp;Mandy Flechsig MD,&nbsp;Julia Mayer MD,&nbsp;Stefan Ulbrich MD,&nbsp;Leonhard Schleußner MD,&nbsp;Thomas Gaspar MD,&nbsp;Angela Zedda MD,&nbsp;Axel Linke MD,&nbsp;Sergio Richter MD","doi":"10.1016/j.hroo.2025.05.030","DOIUrl":"10.1016/j.hroo.2025.05.030","url":null,"abstract":"<div><h3>Background</h3><div>Hypokalemia is a potentially reversible cause of ventricular tachyarrhythmias (VTAs) such as polymorphic ventricular tachycardia/ventricular fibrillation (PMVT/VF) and sustained monomorphic ventricular tachycardia (SMVT). Despite its established role in arrhythmogenesis, the clinical implications of hypokalemia in patients with distinct VTA subtypes remain poorly understood.</div></div><div><h3>Objective</h3><div>The aims of this study were to study the clinical characteristics, management, and outcome of patients with hypokalemia-associated VTAs and to investigate the prognosis of distinct VTA subtypes after correction of hypokalemia with or without additional VT–targeted therapies (VTTTs), such as catheter ablation or antiarrhythmic drugs.</div></div><div><h3>Methods</h3><div>Consecutive patients admitted with hypokalemia-associated VTAs were analyzed after hypokalemia correction. Patients were categorized by VTA subtype and followed for VT recurrence, 24-month VT-free survival, and all-cause mortality. Those with other reversible causes of VTAs were excluded.</div></div><div><h3>Results</h3><div>Sixty-five patients (mean age 69 ± 12 years; 20% (n = 13) women; mean left ventricular ejection fraction 32% ± 13%; 54% (n = 35) with New York Heart Association class III/IV; 8% (n = 5) with a left ventricular assist device) were studied; 68% (n = 44) presented with SMVT. Patients with SMVT were younger (65 ± 11 years vs 77 ± 10 years; <em>P</em> &lt; .001) and had more advanced left ventricular dilation (left ventricular end-diastolic diameter 64 ± 12 mm vs 57 ± 12 mm; <em>P</em> = .03). Over a median follow-up of 18 months, 24-month VT-free survival was 28%. Patients with SMVT had higher VT recurrence (50% vs 10%; <em>P</em> = .002) and lower 24-month VT-free survival (16% vs 52%; <em>P</em> = .005) than did those with PMVT/VF. Among patients with SMVT, those receiving VTTTs (36%, (n = 16/44)) showed improved 24-month VT-free survival compared with hypokalemia correction alone (31% vs 7%; <em>P</em> = .02).</div></div><div><h3>Conclusion</h3><div>Hypokalemia-associated VTAs are associated with advanced heart failure and linked to poor outcomes, especially in patients with SMVT. Although potassium correction may be sufficient for patients with hypokalemia-associated PMVT/VF, those with SMVT require additional VTTTs to improve outcomes.</div></div>","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"6 9","pages":"Pages 1391-1400"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098816","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":"Effectiveness of cardiac device envelopes in preventing infections among pacemaker patients: The REINFORCE Brady real-world project","authors":"Matteo Ziacchi MD, PhD ,&nbsp;Michele di Silvestro MD ,&nbsp;Procolo Marchese MD ,&nbsp;Francesco Solimene MD ,&nbsp;Vincenzo Paolo Caccavo MD ,&nbsp;Gabriele Zanotto MD ,&nbsp;Giuseppe Boriani MD, PhD ,&nbsp;Antonio dello Russo MD, PhD ,&nbsp;Giuseppe Speziale MD, PhD ,&nbsp;Marco Barbanti MD, PhD ,&nbsp;Carlotta Fornasini MD ,&nbsp;Mauro Biffi MD ,&nbsp;Saverio Iacopino MD","doi":"10.1016/j.hroo.2025.06.012","DOIUrl":"10.1016/j.hroo.2025.06.012","url":null,"abstract":"<div><h3>Background</h3><div>Infections related to cardiac implantable electrical devices are among the most challenging and costly complications. Although the absorbable antibiotic-eluting envelope has shown efficacy in reducing infection risk, data on its use in pacemaker (PM) and cardiac resynchronization therapy PM (CRT-P) devices are limited.</div></div><div><h3>Objectives</h3><div>This study aimed to assess the effectiveness of the TYRX envelope in preventing systemic and pocket infections in patients undergoing PM or CRT-P implantation or revision.</div></div><div><h3>Methods</h3><div>This retrospective, multicenter analysis included 896 patients undergoing PM or CRT-P implantation or revision between August 2020 and April 2024. Patients were categorized into 2 groups: the envelope group (n = 350), receiving the TYRX envelope, and the control group (n = 546).</div></div><div><h3>Results</h3><div>Over a mean follow-up of 2.2 ± 2.1 years, systemic or pocket infections occurred in 1.2% of patients, with significantly fewer infections in the envelope group (0.3%) than the control group (1.8%) (<em>P</em> = .05). The envelope was associated with an 89% reduction in infection risk (incidence rate ratio 0.11, 95% confidence interval 0.05–0.23, <em>P</em> &lt; .001). Kaplan-Meier analysis showed that, at 4 years, the cumulative incidence of infection was 0.4% in the envelope group vs 2.5% in the control group (hazard ratio 7.36, <em>P</em> = .03).</div></div><div><h3>Conclusions</h3><div>In patients with PMs and CRT-Ps, the use of the TYRX envelope is associated with significantly lower occurrence of device-related infections. This benefit was sustained over long-term follow-up, supporting its effectiveness in routine clinical practice.</div></div>","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"6 9","pages":"Pages 1356-1363"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098864","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}