Acta cardiologicaPub Date : 2025-08-01Epub Date: 2025-05-29DOI: 10.1080/00015385.2025.2510704
Bert Vandenberk, Neal Ferrick, Elaine Y Wan, Sanjiv M Narayan, Aileen M Ferrick, Satish R Raj
{"title":"International survey of cardiac device clinic staff determining patient-perceived challenges with remote monitoring.","authors":"Bert Vandenberk, Neal Ferrick, Elaine Y Wan, Sanjiv M Narayan, Aileen M Ferrick, Satish R Raj","doi":"10.1080/00015385.2025.2510704","DOIUrl":"10.1080/00015385.2025.2510704","url":null,"abstract":"<p><strong>Background: </strong>Regular interaction with patients with cardiac implantable electronic devices (CIEDs) provides CIED clinic personnel with unique insights into patient-related barriers and challenges to remote monitoring (RM) implementation.</p><p><strong>Methods: </strong>Using a global network, an international survey was administered to CIED clinic personnel. Qualitative questions gathered information on perceived challenges with patient connectivity and patient-level barriers associated with RM implementation.</p><p><strong>Results: </strong>A total of 339 responses from 302 unique centres were included in the analysis. Respondents most often were cardiac electrophysiologists (57.8%), followed by nurses (17.1%) and nurse practitioners (7.7%). Most respondents (84.7%) reported at least one challenge in daily RM management. The biggest challenge was the increasing data volume and data variability (38.3%), followed by staff shortage (33.8%), difficulties with billing for technical activities (20.2%), and insufficient RM reimbursement (16.0%). Patient connectivity was identified as a major barrier by 72.7% of respondents. The main concerns were patient literacy (80.8%), followed by a lack of patient understanding of RM importance (65.8%), the lack of required bandwidth or technology to support RM (49.6%), and the cost to the patient (47.9%). Subgroup analyses showed that patient connectivity was often identified as a major barrier by non-MD CIED clinic staff, respondents working in office-based CIED clinics, and respondents from clinics with a per-patient payment reimbursement model.</p><p><strong>Conclusions: </strong>There are many patient-related barriers identified by non-MD CIED clinic staff. Dedicated strategies to optimise the utilisation and adherence of RM of patients with CIEDs are urgently needed to improve clinical outcomes.</p>","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"604-613"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144172013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Acta cardiologicaPub Date : 2025-08-01Epub Date: 2025-05-26DOI: 10.1080/00015385.2025.2506338
George H Mairesse, Johan De Sutter, Patrizio Lancellotti, Michel De Pauw, Marc J Claeys
{"title":"Summary of 2021 ESC Guidelines on cardiac pacing and cardiac resynchronisation therapy, on cardiovascular disease prevention, on the management of valvular heart disease and of heart failure.","authors":"George H Mairesse, Johan De Sutter, Patrizio Lancellotti, Michel De Pauw, Marc J Claeys","doi":"10.1080/00015385.2025.2506338","DOIUrl":"10.1080/00015385.2025.2506338","url":null,"abstract":"<p><p>During the ESC congress in September 2021, the new ESC guidelines were presented and are available on the ESC website. The new guidelines describes management recommendations on following cardiovascular domains : cardiac pacing and cardiac resynchronization therapy, cardiovascular prevention, valvular heart disease and heart failure. The present document gives a summary of these guidelines and highlights the most important recommendations and changes in the management of these diseases. It will help to increase awareness about the new guidelines and may stimulate to consult the full document for specific items. Ultimately, the authors hope that this document will enhance implementation of new ESC guidelines in daily clinical practice.</p>","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"545-552"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144140970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of left atrial mechanical dispersion by real-time 3D echocardiography combined with DR-FLASH score for predicting late recurrence after ablation in paroxysmal atrial fibrillation.","authors":"Heng Sun, Run-Yu Zhu, Hao-Tian Hu, Chang Zhou, Wen-Shu Hu, Xin-Yi Li, Ao-Yi Zhang, Dian Shen","doi":"10.1080/00015385.2025.2516944","DOIUrl":"10.1080/00015385.2025.2516944","url":null,"abstract":"<p><strong>Background: </strong>Atrial fibrillation (AF) is a common arrhythmia causing serious health complications. Catheter ablation is used to treat AF, but the risk of recurrence is high. The DR-FLASH score, which predicts recurrence, has limited sensitivity and specificity. Left atrial mechanical dispersion (LAMD) is an effective index that reflects the synchronisation of left atrial mechanical movement and the degree of early remodelling.</p><p><strong>Objective: </strong>This study aimed to assess the predictive value of LAMD and the DR-FLASH score for late recurrence after ablation.</p><p><strong>Methods: </strong>The general clinical data, structural, and functional parameters of both the recurrence group and the non-recurrence group were collected. Univariate and multivariate logistic regression analysis explored the independent predictors of late recurrence after AF ablation. The ROC curve was used to evaluate the effectiveness of LAMD and DR-FLASH score on recurrence after AF ablation.</p><p><strong>Results: </strong>The study included 102 AF patients and 31 healthy controls. LAMD was found to be an independent predictor of recurrence, and combining it with the DR-FLASH score improved predictive efficiency, with an area under the curve (AUC) of 0.875, sensitivity of 77.8%, and specificity of 88.0%.</p><p><strong>Conclusion: </strong>LAMD combined with the DR-FLASH score can help identify high-risk patients and potentially reduce recurrence rates.</p>","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"631-640"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144265027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Acta cardiologicaPub Date : 2025-08-01Epub Date: 2025-06-12DOI: 10.1080/00015385.2025.2500887
Farid Esmaely, Pardis Moradnejad, Shabnam Boudagh, Ahmad Bitarafan-Rajabi
{"title":"Radiomics and machine learning for predicting valve vegetation in infective endocarditis: a comparative analysis of mitral and aortic valves using TEE imaging.","authors":"Farid Esmaely, Pardis Moradnejad, Shabnam Boudagh, Ahmad Bitarafan-Rajabi","doi":"10.1080/00015385.2025.2500887","DOIUrl":"10.1080/00015385.2025.2500887","url":null,"abstract":"<p><strong>Background: </strong>Detecting valve vegetation in infective endocarditis (IE) poses challenges, particularly with mechanical valves, because acoustic shadowing artefacts often obscure critical diagnostic details. This study aimed to classify native and prosthetic mitral and aortic valves with and without vegetation using radiomics and machine learning.</p><p><strong>Methods: </strong>286 TEE scans from suspected IE cases (August 2023-November 2024) were analysed alongside 113 rejected IE as control cases. Frames were preprocessed using the Extreme Total Variation Bilateral (ETVB) filter, and radiomics features were extracted for classification using machine learning models, including Random Forest, Decision Tree, SVM, k-NN, and XGBoost. in order to evaluate the models, AUC, ROC curves, and Decision Curve Analysis (DCA) were used.</p><p><strong>Results: </strong>For native mitral valves, SVM achieved the highest performance with an AUC of 0.88, a sensitivity of 0.91, and a specificity of 0.87. Mechanical mitral valves also showed optimal results with SVM (AUC: 0.85, sensitivity: 0.73, specificity: 0.92). Native aortic valves were best classified using SVM (AUC: 0.86, sensitivity: 0.87, specificity: 0.86), while Random Forest excelled for mechanical aortic valves (AUC: 0.81, sensitivity: 0.89, specificity: 0.78).</p><p><strong>Conclusion: </strong>These findings suggest that combining the models with the clinician's report may enhance the diagnostic accuracy of TEE, particularly in the absence of advanced imaging methods like PET/CT.</p>","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"575-592"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144273850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Acta cardiologicaPub Date : 2025-08-01Epub Date: 2025-01-28DOI: 10.1080/00015385.2025.2450983
Deshuang Zhao, Jing Bai
{"title":"Valvular heart disease and heart-related disease: a bibliometric and visual analysis from 2000 to 2023.","authors":"Deshuang Zhao, Jing Bai","doi":"10.1080/00015385.2025.2450983","DOIUrl":"10.1080/00015385.2025.2450983","url":null,"abstract":"<p><strong>Background: </strong>Previous studies have shown that valvular heart disease (VHD) is closely related to the development of heart-related disease (HRD). However, the current research for the relationship between VHD and HRD is complex and poorly targeted. Meanwhile, these studies lack the support of bibliometric analysis results.</p><p><strong>Objective: </strong>Our study focused on a bibliometric analysis of published papers on the relationship between VHD and HRDs. The study also attempted to identify the primary authors, institutions and countries to analyse the status and trends of research on VHD and HRDs.</p><p><strong>Methods: </strong>The PubMed database was searched for publications on VHD and HRD between 2000 and 2023. Python v3.10.8, R v4.2.2 and VOSviewer v1.6.18 software tools were utilised to perform this bibliometric analysis and visualisation.</p><p><strong>Results: </strong>There were 4,235 qualified publications found in total, with the annual number of publications increasing. According to the analysis of the co-occurrence of keywords, we found that the main research directions are for age, gender, disease diagnosis and treatment. Newly emerging research mainly focuses on heart failure, which is relatively related to VHD.</p><p><strong>Conclusion: </strong>These results provided a useful perspective on current research and future prospects for the research on the link between VHD and HRD, which could help researchers to select partners and facilitate their research to elucidate the underlying molecular mechanisms of VHD and HRD, including the causes, prevention, and treatment.</p>","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"553-564"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143050978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}