Hearts (Basel, Switzerland)最新文献_第4页

Safety and Cost Implications of Same-Day Discharge Following Elective Percutaneous Closure of Patent Foramen Ovale and Atrial Septal Defects in Australia 澳大利亚卵圆孔未闭和房间隔缺损选择性经皮封堵术后当天出院的安全性和成本影响

Hearts (Basel, Switzerland) Pub Date : 2021-11-09 DOI: 10.3390/hearts2040041

Abhisheik Prashar, Sanjana Shah, Richard Zhang, K. Mitchell, M. Sader

{"title":"Safety and Cost Implications of Same-Day Discharge Following Elective Percutaneous Closure of Patent Foramen Ovale and Atrial Septal Defects in Australia","authors":"Abhisheik Prashar, Sanjana Shah, Richard Zhang, K. Mitchell, M. Sader","doi":"10.3390/hearts2040041","DOIUrl":"https://doi.org/10.3390/hearts2040041","url":null,"abstract":"Background: Percutaneous closure of patent foramen ovale (PFO) and atrial septal defects (ASD) is being more commonly performed due to changes in international guidelines supporting its use. This study was performed to determine the clinical outcomes, safety and cost implications of same-day discharge (SDD) following such procedures and place this in an Australian context. Methods: This was a retrospective, observational study of patients undergoing elective percutaneous PFO or ASD closure at St. George Hospital, Australia between January 2011 and January 2020. Primary outcomes included 30-day major adverse cardiovascular endpoints (MACE) and readmission to hospital within 30 days. Results: Twenty-four patients were included in the primary analysis. Ten (41.7%) patients underwent elective ASD closure while 14 (58.3%) underwent PFO closure. Among the 24 patients who underwent elective percutaneous closure of structural heart disease, 23 patients (95.8%) were managed with SDD. There were no MACE outcomes at 30 days. No patients were re-admitted to hospital at 30 days following these procedures. When compared to overnight admission to hospital post-elective percutaneous structural heart condition closure, SDD yielded a cost saving of AUD 5999 per case. Conclusion: SDD following elective percutaneous closure of ASD and PFO was demonstrated to be a safe and effective strategy for managing patients. With more widespread use, it can lead to significant cost savings for hospitals without compromising patient care.","PeriodicalId":93563,"journal":{"name":"Hearts (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44442872","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}

引用次数: 1

Body Surface Potential Mapping: Contemporary Applications and Future Perspectives. 体表电位映射:当代应用和未来展望。

Hearts (Basel, Switzerland) Pub Date : 2021-11-05 DOI: 10.3390/hearts2040040

J. Bergquist, Lindsay C. Rupp, B. Zenger, James N. Brundage, Anna Busatto, R. Macleod

{"title":"Body Surface Potential Mapping: Contemporary Applications and Future Perspectives.","authors":"J. Bergquist, Lindsay C. Rupp, B. Zenger, James N. Brundage, Anna Busatto, R. Macleod","doi":"10.3390/hearts2040040","DOIUrl":"https://doi.org/10.3390/hearts2040040","url":null,"abstract":"Body surface potential mapping (BSPM) is a noninvasive modality to assess cardiac bioelectric activity with a rich history of practical applications for both research and clinical investigation. BSPM provides comprehensive acquisition of bioelectric signals across the entire thorax, allowing for more complex and extensive analysis than the standard electrocardiogram (ECG). Despite its advantages, BSPM is not a common clinical tool. BSPM does, however, serve as a valuable research tool and as an input for other modes of analysis such as electrocardiographic imaging and, more recently, machine learning and artificial intelligence. In this report, we examine contemporary uses of BSPM, and provide an assessment of its future prospects in both clinical and research environments. We assess the state of the art of BSPM implementations and explore modern applications of advanced modeling and statistical analysis of BSPM data. We predict that BSPM will continue to be a valuable research tool, and will find clinical utility at the intersection of computational modeling approaches and artificial intelligence.","PeriodicalId":93563,"journal":{"name":"Hearts (Basel, Switzerland)","volume":"2 4 1","pages":"514-542"},"PeriodicalIF":0.0,"publicationDate":"2021-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42084085","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}

引用次数: 14

ECG Interpretation: Clinical Relevance, Challenges, and Advances 心电图解读：临床相关性、挑战和进展

Hearts (Basel, Switzerland) Pub Date : 2021-11-02 DOI: 10.3390/hearts2040039

N. Rafie, A. Kashou, P. Noseworthy

引用次数: 8

Unexplained Syncope: The Importance of the Electrophysiology Study 不明原因晕厥：电生理学研究的重要性

Hearts (Basel, Switzerland) Pub Date : 2021-10-25 DOI: 10.3390/hearts2040038

I. Doundoulakis, S. Soulaidopoulos, P. Arsenos, P. Dilaveris, D. Tsiachris, C. Antoniou, S. Sideris, A. Kordalis, A. Laina, Sotirios Kallinikidis, P. Xydis, S. Archontakis, K. Tsioufis, K. Gatzoulis

{"title":"Unexplained Syncope: The Importance of the Electrophysiology Study","authors":"I. Doundoulakis, S. Soulaidopoulos, P. Arsenos, P. Dilaveris, D. Tsiachris, C. Antoniou, S. Sideris, A. Kordalis, A. Laina, Sotirios Kallinikidis, P. Xydis, S. Archontakis, K. Tsioufis, K. Gatzoulis","doi":"10.3390/hearts2040038","DOIUrl":"https://doi.org/10.3390/hearts2040038","url":null,"abstract":"Syncope of cardiac origin may be associated with an increased risk of sudden cardiac death if not treated in a timely and appropriate manner. The diagnostic approach of syncope imposes a significant economic burden on society. The investigation and elucidation of the pathogenetic mechanism of syncope are of great clinical importance, as both prognosis and appropriate therapeutic approaches depend on these factors. The responsible mechanism of presyncope or syncope can only be revealed through the patient history, baseline clinical examination and electrocardiogram. The percentage of patients who are diagnosed with these tests alone exceeds 50%. In patients with a history of organic or acquired heart disease or/and the presence of abnormal findings on the electrocardiogram, a further diagnostic electrophysiology inclusive approach should be followed to exclude life threatening arrhythmiological mechanism. However, if the patient does not suffer from underlying heart disease and does not show abnormal electrocardiographic findings in the electrocardiogram, then the probability in the electrophysiology study to find a responsible cause is small but not absent. The role of a two-step electrophysiology study inclusive risk stratification approach for the effective management of the former is thoroughly discussed in this review.","PeriodicalId":93563,"journal":{"name":"Hearts (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46838030","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}

引用次数: 2

Applications of Machine Learning in Ambulatory ECG 机器学习在动态心电图中的应用

Hearts (Basel, Switzerland) Pub Date : 2021-10-13 DOI: 10.3390/hearts2040037

J. Xue, Long Yu

{"title":"Applications of Machine Learning in Ambulatory ECG","authors":"J. Xue, Long Yu","doi":"10.3390/hearts2040037","DOIUrl":"https://doi.org/10.3390/hearts2040037","url":null,"abstract":"The ambulatory ECG (AECG) is an important diagnostic tool for many heart electrophysiology-related cases. AECG covers a wide spectrum of devices and applications. At the core of these devices and applications are the algorithms responsible for signal conditioning, ECG beat detection and classification, and event detections. Over the years, there has been huge progress for algorithm development and implementation thanks to great efforts by researchers, engineers, and physicians, alongside the rapid development of electronics and signal processing, especially machine learning (ML). The current efforts and progress in machine learning fields are unprecedented, and many of these ML algorithms have also been successfully applied to AECG applications. This review covers some key AECG applications of ML algorithms. However, instead of doing a general review of ML algorithms, we are focusing on the central tasks of AECG and discussing what ML can bring to solve the key challenges AECG is facing. The center tasks of AECG signal processing listed in the review include signal preprocessing, beat detection and classification, event detection, and event prediction. Each AECG device/system might have different portions and forms of those signal components depending on its application and the target, but these are the topics most relevant and of greatest concern to the people working in this area.","PeriodicalId":93563,"journal":{"name":"Hearts (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44029726","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}

引用次数: 11

Computer Assisted Patient Monitoring: Associated Patient, Clinical and ECG Characteristics and Strategy to Minimize False Alarms 计算机辅助病人监测:相关的病人、临床和心电图特征以及减少误报的策略

Hearts (Basel, Switzerland) Pub Date : 2021-10-01 DOI: 10.3390/hearts2040036

M. Pelter, D. Mortara, F. Badilini

{"title":"Computer Assisted Patient Monitoring: Associated Patient, Clinical and ECG Characteristics and Strategy to Minimize False Alarms","authors":"M. Pelter, D. Mortara, F. Badilini","doi":"10.3390/hearts2040036","DOIUrl":"https://doi.org/10.3390/hearts2040036","url":null,"abstract":"This chapter is a review of studies that have examined false arrhythmia alarms during in-hospital electrocardiographic (ECG) monitoring in the intensive care unit. In addition, we describe an annotation effort being conducted at the UCSF School of Nursing, Center for Physiologic Research designed to improve algorithms for lethal arrhythmias (i.e., asystole, ventricular fibrillation, and ventricular tachycardia). Background: Alarm fatigue is a serious patient safety hazard among hospitalized patients. Data from the past five years, showed that alarm fatigue was responsible for over 650 deaths, which is likely lower than the actual number due to under-reporting. Arrhythmia alarms are a common source of false alarms and 90% are false. While clinical scientists have implemented a number of interventions to reduce these types of alarms (e.g., customized alarm settings; daily skin electrode changes; disposable vs. non-disposable lead wires; and education), only minor improvements have been made. This is likely as these interventions do not address the primary problem of false arrhythmia alarms, namely deficient and outdated arrhythmia algorithms. In this chapter we will describe a number of ECG features associated with false arrhythmia alarms. In addition, we briefly discuss an annotation effort our group has undertaken to improve lethal arrhythmia algorithms.","PeriodicalId":93563,"journal":{"name":"Hearts (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48655205","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}

引用次数: 4

Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients 死亡率的心电图预测因素：来自巴西患者初级保健远程心电图队列的数据

Hearts (Basel, Switzerland) Pub Date : 2021-09-29 DOI: 10.3390/hearts2040035

Gabriela M. M. Paixão, Emilly M Lima, P. R. Gomes, D. Oliveira, Manoel Horta Ribeiro, Jamil S. Nascimento, A. H. Ribeiro, P. Macfarlane, A. L. Ribeiro

{"title":"Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients","authors":"Gabriela M. M. Paixão, Emilly M Lima, P. R. Gomes, D. Oliveira, Manoel Horta Ribeiro, Jamil S. Nascimento, A. H. Ribeiro, P. Macfarlane, A. L. Ribeiro","doi":"10.3390/hearts2040035","DOIUrl":"https://doi.org/10.3390/hearts2040035","url":null,"abstract":"Computerized electrocardiography (ECG) has been widely used and allows linkage to electronic medical records. The present study describes the development and clinical applications of an electronic cohort derived from a digital ECG database obtained by the Telehealth Network of Minas Gerais, Brazil, for the period 2010–2017, linked to the mortality data from the national information system, the Clinical Outcomes in Digital Electrocardiography (CODE) dataset. From 2,470,424 ECGs, 1,773,689 patients were identified. A total of 1,666,778 (94%) underwent a valid ECG recording for the period 2010 to 2017, with 1,558,421 patients over 16 years old; 40.2% were men, with a mean age of 51.7 [SD 17.6] years. During a mean follow-up of 3.7 years, the mortality rate was 3.3%. ECG abnormalities assessed were: atrial fibrillation (AF), right bundle branch block (RBBB), left bundle branch block (LBBB), atrioventricular block (AVB), and ventricular pre-excitation. Most ECG abnormalities (AF: Hazard ratio [HR] 2.10; 95% CI 2.03–2.17; RBBB: HR 1.32; 95%CI 1.27–1.36; LBBB: HR 1.69; 95% CI 1.62–1.76; first degree AVB: Relative survival [RS]: 0.76; 95% CI0.71–0.81; 2:1 AVB: RS 0.21 95% CI0.09–0.52; and RS 0.36; third degree AVB: 95% CI 0.26–0.49) were predictors of overall mortality, except for ventricular pre-excitation (HR 1.41; 95% CI 0.56–3.57) and Mobitz I AVB (RS 0.65; 95% CI 0.34–1.24). In conclusion, a large ECG database established by a telehealth network can be a useful tool for facilitating new advances in the fields of digital electrocardiography, clinical cardiology and cardiovascular epidemiology.","PeriodicalId":93563,"journal":{"name":"Hearts (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47978013","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}

引用次数: 1

Automated ECG Interpretation—A Brief History from High Expectations to Deepest Networks 自动心电图解释-从高期望到最深网络的简史

Hearts (Basel, Switzerland) Pub Date : 2021-09-23 DOI: 10.3390/hearts2040034

P. Macfarlane, Julie Kennedy

引用次数: 6

Current ECG Aspects of Interatrial Block 心房传导阻滞的当前心电图方面

Hearts (Basel, Switzerland) Pub Date : 2021-09-08 DOI: 10.3390/hearts2030033

A. Bayés-de-Luna, Miquel Fiol-Sala, M. Martínez‐Sellés, A. Baranchuk

引用次数: 4

The New ISO/IEC Standard for Automated ECG Interpretation 自动心电图解释的ISO/IEC新标准

Hearts (Basel, Switzerland) Pub Date : 2021-08-27 DOI: 10.3390/hearts2030032

B. Young, J. Schmid

{"title":"The New ISO/IEC Standard for Automated ECG Interpretation","authors":"B. Young, J. Schmid","doi":"10.3390/hearts2030032","DOIUrl":"https://doi.org/10.3390/hearts2030032","url":null,"abstract":"Updates to industry consensus standards for ECG equipment is a work-in-progress by the ISO/IEC Joint Work Group 22. This work will result in an overhaul of existing industry standards that apply to ECG electromedical equipment and will result in a new single international industry, namely 80601-2-86. The new standard will be entitled “80601, Part 2-86: Particular requirements for the basic safety and essential performance of electrocardiographs, including diagnostic equipment, monitoring equipment, ambulatory equipment, electrodes, cables, and leadwires”. This paper will provide a high-level overview of the work in progress and, in particular, will describe the impact it will have on requirements and testing methods for computerized ECG interpretation algorithms. The conclusion of this work is that manufacturers should continue working with clinical ECG experts to make clinically meaningful improvements to automated ECG interpretation, and the clinical validation of ECG analysis algorithms should be disclosed to guide appropriate clinical use. More cooperation is needed between industry, clinical ECG experts and regulatory agencies to develop new data sets that can be made available for use by industry standards for algorithm performance evaluation.","PeriodicalId":93563,"journal":{"name":"Hearts (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48658814","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}

引用次数: 5