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Ho JS, Ho ES, Yeo LL, Kong WK, Li TY, Tan BY, Chan MY, Sharma VK, Poh KK, Sia CH. Use of wearable technology in cardiac monitoring after cryptogenic stroke or embolic stroke of undetermined source: a systematic review. Singapore Med J 2024; 65:370-379. [PMID: 38449074 DOI: 10.4103/singaporemedj.smj-2022-143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 05/28/2023] [Indexed: 03/08/2024]
Abstract
INTRODUCTION Prolonged cardiac monitoring after cryptogenic stroke or embolic stroke of undetermined source (ESUS) is necessary to identify atrial fibrillation (AF) that requires anticoagulation. Wearable devices may improve AF detection compared to conventional management. We aimed to review the evidence for the use of wearable devices in post-cryptogenic stroke and post-ESUS monitoring. METHODS We performed a systematic search of PubMed, EMBASE, Scopus and clinicaltrials.gov on 21 July 2022, identifying all studies that investigated the use of wearable devices in patients with cryptogenic stroke or ESUS. The outcomes of AF detection were analysed. Literature reports on electrocardiogram (ECG)-based (external wearable, handheld, patch, mobile cardiac telemetry [MCT], smartwatch) and photoplethysmography (PPG)-based (smartwatch, smartphone) devices were summarised. RESULTS A total of 27 relevant studies were included (two randomised controlled trials, seven prospective trials, 10 cohort studies, six case series and two case reports). Only four studies compared wearable technology to Holter monitoring or implantable loop recorder, and these studies showed no significant differences on meta-analysis (odds ratio 2.35, 95% confidence interval [CI] 0.74-7.48, I 2 = 70%). External wearable devices detected AF in 20.7% (95% CI 14.9-27.2, I 2 = 76%) of patients and MCT detected new AF in 9.6% (95% CI 7.4%-11.9%, I 2 = 56%) of patients. Other devices investigated included patch sensors, handheld ECG recorders and PPG-based smartphone apps, which demonstrated feasibility in the post-cryptogenic stroke and post-ESUS setting. CONCLUSION Wearable devices that are ECG or PPG based are effective for paroxysmal AF detection after cryptogenic stroke and ESUS, but further studies are needed to establish how they compare with Holter monitors and implantable loop recorder.
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Affiliation(s)
- Jamie Sy Ho
- Department of Medicine, Alexandra Hospital, Singapore
| | - Elizabeth Sy Ho
- Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Leonard Ll Yeo
- Division of Neurology, Department of Medicine, National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - William Kf Kong
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre Singapore, Singapore
| | - Tony Yw Li
- Department of Cardiology, National University Heart Centre Singapore, Singapore
| | - Benjamin Yq Tan
- Division of Neurology, Department of Medicine, National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mark Y Chan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre Singapore, Singapore
| | - Vijay K Sharma
- Division of Neurology, Department of Medicine, National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kian-Keong Poh
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre Singapore, Singapore
| | - Ching-Hui Sia
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre Singapore, Singapore
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Patel J, Bhaskar SMM. Diagnosis and Management of Atrial Fibrillation in Acute Ischemic Stroke in the Setting of Reperfusion Therapy: Insights and Strategies for Optimized Care. J Cardiovasc Dev Dis 2023; 10:458. [PMID: 37998516 PMCID: PMC10672610 DOI: 10.3390/jcdd10110458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 10/25/2023] [Accepted: 11/10/2023] [Indexed: 11/25/2023] Open
Abstract
Reperfusion therapy in the form of intravenous thrombolysis (IVT) and endovascular thrombectomy (EVT) has revolutionised the field of stroke medicine. Atrial fibrillation (AF) patients constitute a major portion of the overall stroke population; however, the prevalence of AF amongst acute ischemic stroke (AIS) patients receiving reperfusion therapy remains unclear. Limitations in our understanding of prevalence in this group of patients are exacerbated by difficulties in appropriately diagnosing AF. Additionally, the benefits of reperfusion therapy are not consistent across all subgroups of AIS patients. More specifically, AIS patients with AF often tend to have poor prognoses despite treatment relative to those without AF. This article aims to present an overview of the diagnostic and therapeutic management of AF and how it mediates outcomes following stroke, most specifically in AIS patients treated with reperfusion therapy. We provide unique insights into AF prevalence and outcomes that could allow healthcare professionals to optimise the treatment and prognosis for AIS patients with AF. Specific indications on acute neurovascular management and secondary stroke prevention in AIS patients with AF are also discussed.
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Affiliation(s)
- Jay Patel
- Global Health Neurology Lab, Sydney 2150, Australia
- South Western Sydney Clinical Campuses, UNSW Medicine and Health, University of New South Wales (UNSW), Sydney 2170, Australia
- Ingham Institute for Applied Medical Research, Neurovascular Imaging Laboratory, Clinical Sciences Stream, Sydney 2170, Australia
| | - Sonu M. M. Bhaskar
- Global Health Neurology Lab, Sydney 2150, Australia
- Ingham Institute for Applied Medical Research, Neurovascular Imaging Laboratory, Clinical Sciences Stream, Sydney 2170, Australia
- NSW Brain Clot Bank, NSW Health Pathology, Sydney 2170, Australia
- Department of Neurology & Neurophysiology, Liverpool Hospital, South Western Sydney Local Health District (SWSLHD), Sydney 2170, Australia
- Department of Neurology, National Cerebral and Cardiovascular Center (NCVC), Suita 564-8565, Osaka, Japan
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Tchapmi DP, Agyingi C, Egbe A, Marcus GM, Noubiap JJ. The use of digital health in heart rhythm care. Expert Rev Cardiovasc Ther 2023; 21:553-563. [PMID: 37322576 DOI: 10.1080/14779072.2023.2226868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 06/14/2023] [Indexed: 06/17/2023]
Abstract
INTRODUCTION Digital health is a broad term that includes telecommunication technologies to collect, share and manipulate health information to improve patient health and health care services. With the growing use of wearables, artificial intelligence, machine learning, and other novel technologies, digital health is particularly relevant to the field of cardiac arrhythmias, with roles pertinent to education, prevention, diagnosis, management, prognosis, and surveillance. AREAS COVERED This review summarizes information on the clinical use of digital health technology in arrhythmia care and discusses its opportunities and challenges. EXPERT OPINION Digital health has begun to play an essential role in arrhythmia care regarding diagnostics, long-term monitoring, patient education and shared decision making, management, medication adherence, and research. Despite remarkable advances, integrating digital health technologies into healthcare faces challenges, including patient usability, privacy, system interoperability, physician liability, analysis and incorporation of the huge amount of real-time information from wearables, and reimbursement. Successful implementation of digital health technologies requires clear objectives and deep changes to existing workflows and responsibilities.
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Affiliation(s)
- Donald P Tchapmi
- Department of Medicine, Brookdale University Hospital Medical Center, Brooklyn, NY, USA
| | - Chris Agyingi
- Department of Medicine, Woodhull Medical Center, Brooklyn, NY, USA
| | - Antoine Egbe
- Department of Medicine, Beaumont Hospital, Dearborn, MI, USA
| | - Gregory M Marcus
- Division of Cardiology, Department of Medicine, University of California-San Francisco, San Francisco, CA, USA
| | - Jean Jacques Noubiap
- Division of Cardiology, Department of Medicine, University of California-San Francisco, San Francisco, CA, USA
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Bhatti DS, Saleem S, Imran A, Iqbal Z, Alzahrani A, Kim H, Kim KI. A Survey on Wireless Wearable Body Area Networks: A Perspective of Technology and Economy. SENSORS (BASEL, SWITZERLAND) 2022; 22:7722. [PMID: 36298073 PMCID: PMC9607184 DOI: 10.3390/s22207722] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/27/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
The deployment of wearable or body-worn devices is increasing rapidly, and thus researchers' interests mainly include technical and economical issues, such as networking, interoperability, security, power optimization, business growth and regulation. To address these issues properly, previous survey papers usually focused on describing the wireless body area network architecture and network protocols. This implies that deployment issues and awareness issues of wearable and BAN devices are not emphasized in previous work. To defeat this problem, in this study, we have focused on feasibility, limitations, and security concerns in wireless body area networks. In the aspect of the economy, we have focused on the compound annual growth rate of these devices in the global market, different regulations of wearable/wireless body area network devices in different regions and countries of the world and feasible research projects for wireless body area networks. In addition, this study focuses on the domain of devices that are equally important to physicians, sportsmen, trainers and coaches, computer scientists, engineers, and investors. The outcomes of this study relating to physicians, fitness trainers and coaches indicate that the use of these devices means they would be able to treat their clients in a more effective way. The study also converges the focus of businessmen on the Annual Growth Rate (CAGR) and provides manufacturers and vendors with information about different regulatory bodies that are monitoring and regulating WBAN devices. Therefore, by providing deployment issues in the aspects of technology and economy at the same time, we believe that this survey can serve as a preliminary material that will lead to more advancements and improvements in deployment in the area of wearable wireless body area networks. Finally, we present open issues and further research direction in the area of wireless body area networks.
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Affiliation(s)
- David Samuel Bhatti
- Faculty of Information Technology, University of Central Punjab, Lahore 54590, Pakistan
| | - Shahzad Saleem
- School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan
| | - Azhar Imran
- Faculty of Computing & A.I., Air University, Islamabad 42000, Pakistan
| | - Zafar Iqbal
- Faculty of Computing & A.I., Air University, Islamabad 42000, Pakistan
| | - Abdulkareem Alzahrani
- Computer Science & Engineering Department, Al Baha University, Al Baha 65799, Saudi Arabia
| | - HyunJung Kim
- Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Korea
| | - Ki-Il Kim
- Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Korea
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