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Nazi KM, Newton T, Armstrong CM. Unleashing the Potential for Patient-Generated Health Data (PGHD). J Gen Intern Med 2024; 39:9-13. [PMID: 38252246 PMCID: PMC10937868 DOI: 10.1007/s11606-023-08461-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 10/06/2023] [Indexed: 01/23/2024]
Abstract
Patient-generated health data (PGHD) is data created, captured, or recorded by patients in between healthcare appointments, and is an important supplement to data generated during periodic clinical encounters. PGHD has potential to improve diagnosis and management of chronic conditions, improve health outcomes, and facilitate more "connected health" between patients and their care teams. Electronic PGHD is rapidly accelerating due to the proliferation of consumer health technologies, remote patient monitoring systems, and personal health platforms. Despite this tremendous growth in PGHD and anticipated benefits, broadscale use of PGHD has been challenging to implement with significant gaps in current knowledge about how PGHD can best be employed in the service of high-quality, patient-centered care. While the role of PGHD in patient self-management continues to grow organically, we need a deeper understanding of how data collection and sharing translate into actionable information that supports shared decision-making and informs clinical care in real-world settings. This, in turn, will foster both clinical adoption and patient engagement with PGHD. We propose an agenda for PGHD-related research in the Veterans Health Administration that emphasizes this clinical value to enhance our understanding of its potential and limitations in supporting shared decision-making and informing clinical care.
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Affiliation(s)
- Kim M Nazi
- Trilogy Federal, LLC, Arlington, VA, USA.
- KMN Consulting Services, LTD, Coxsackie, NY, USA.
- Trilogy Federal, LLC, 44 Mountain View Drive, Coxsackie, NY, 12051, USA.
| | - Terry Newton
- Office of Connected Care, US Department of Veterans Affairs, Washington, DC, USA
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2
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Chia PL, Tan K, Ng S, Foo D. Contemporary wearable and handheld technology for the diagnosis of cardiac arrhythmias in Singapore. Singapore Med J 2023:386397. [PMID: 37870042 DOI: 10.4103/singaporemedj.smj-2023-048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2023]
Abstract
Twelve-lead electrocardiography (ECG) remains the gold standard for the diagnosis of cardiac arrhythmias. It provides a snapshot of the cardiac electrical activity while the leads are attached to the patient. As medical training is required to use the ECG machine, its use remains restricted to the clinic and hospital settings. These aspects limit the usefulness of 12-lead ECG in the diagnosis of cardiac arrhythmias, especially in individuals with short-lasting and infrequent paroxysmal symptoms. The introduction of ECG recording features in wearable and handheld smart devices has changed the paradigm of cardiac arrhythmia diagnosis, empowering patients to record their ECG as and when symptoms occur. This review describes contemporary ambulatory heart rhythm monitors commonly available in Singapore and their expanding role in the diagnosis of cardiac rhythm abnormalities.
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Affiliation(s)
- Pow-Li Chia
- Department of Cardiology, Tan Tock Seng Hospital, Singapore
| | - Kenny Tan
- Department of Cardiology, Tan Tock Seng Hospital, Singapore
| | - Shonda Ng
- Department of Cardiology, Tan Tock Seng Hospital, Singapore
| | - David Foo
- Department of Cardiology, Tan Tock Seng Hospital, Singapore
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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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Turnbull S, Garikapati K, Bennett RG, Campbell TG, Kotake Y, Mahajan R, Marschner S, Byth K, Chow CK, Kumar S. Utility of a Handheld, Single-Lead ECG Device for Diagnosis of Cardiac Arrhythmias. J Am Coll Cardiol 2023; 81:2292-2294. [PMID: 37286259 DOI: 10.1016/j.jacc.2023.03.428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 03/02/2023] [Accepted: 03/31/2023] [Indexed: 06/09/2023]
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Khan MS, Usman MS, Talha KM, Van Spall HGC, Greene SJ, Vaduganathan M, Khan SS, Mills NL, Ali ZA, Mentz RJ, Fonarow GC, Rao SV, Spertus JA, Roe MT, Anker SD, James SK, Butler J, McGuire DK. Leveraging electronic health records to streamline the conduct of cardiovascular clinical trials. Eur Heart J 2023; 44:1890-1909. [PMID: 37098746 DOI: 10.1093/eurheartj/ehad171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 02/05/2023] [Accepted: 03/07/2023] [Indexed: 04/27/2023] Open
Abstract
Conventional randomized controlled trials (RCTs) can be expensive, time intensive, and complex to conduct. Trial recruitment, participation, and data collection can burden participants and research personnel. In the past two decades, there have been rapid technological advances and an exponential growth in digitized healthcare data. Embedding RCTs, including cardiovascular outcome trials, into electronic health record systems or registries may streamline screening, consent, randomization, follow-up visits, and outcome adjudication. Moreover, wearable sensors (i.e. health and fitness trackers) provide an opportunity to collect data on cardiovascular health and risk factors in unprecedented detail and scale, while growing internet connectivity supports the collection of patient-reported outcomes. There is a pressing need to develop robust mechanisms that facilitate data capture from diverse databases and guidance to standardize data definitions. Importantly, the data collection infrastructure should be reusable to support multiple cardiovascular RCTs over time. Systems, processes, and policies will need to have sufficient flexibility to allow interoperability between different sources of data acquisition. Clinical research guidelines, ethics oversight, and regulatory requirements also need to evolve. This review highlights recent progress towards the use of routinely generated data to conduct RCTs and discusses potential solutions for ongoing barriers. There is a particular focus on methods to utilize routinely generated data for trials while complying with regional data protection laws. The discussion is supported with examples of cardiovascular outcome trials that have successfully leveraged the electronic health record, web-enabled devices or administrative databases to conduct randomized trials.
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Affiliation(s)
- Muhammad Shahzeb Khan
- Division of Cardiology, Duke University School of Medicine, 2301 Erwin Rd., Durham, NC 27705, USA
| | - Muhammad Shariq Usman
- Department of Medicine, University of Mississippi Medical Center, 2500 N State St, Jackson, MS 39216, USA
| | - Khawaja M Talha
- Department of Medicine, University of Mississippi Medical Center, 2500 N State St, Jackson, MS 39216, USA
| | - Harriette G C Van Spall
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
| | - Stephen J Greene
- Division of Cardiology, Duke University School of Medicine, 2301 Erwin Rd., Durham, NC 27705, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sadiya S Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Nicholas L Mills
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellors Building, Royal Infirmary of Edinburgh, Edinburgh, Scotland, UK
- Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK
| | - Ziad A Ali
- DeMatteis Cardiovascular Institute, St Francis Hospital and Heart Center, Roslyn, NY, USA
| | - Robert J Mentz
- Division of Cardiology, Duke University School of Medicine, 2301 Erwin Rd., Durham, NC 27705, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | - Gregg C Fonarow
- Division of Cardiology, University of California Los Angeles, Los Angeles, CA, USA
| | - Sunil V Rao
- Division of Cardiology, New York University Langone Health System, New York, NY, USA
| | - John A Spertus
- Department of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA
- Kansas City's Healthcare Institute for Innovations in Quality, University of Missouri, Kansas, MO, USA
| | - Matthew T Roe
- Division of Cardiology, Duke University School of Medicine, 2301 Erwin Rd., Durham, NC 27705, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | - Stefan D Anker
- Department of Cardiology (CVK), Berlin Institute of Health Center for Regenerative Therapies (BCRT), and German Centre for Cardiovascular Research (DZHK) Partner Site Berlin, Charité Universitätsmedizin, Berlin, Germany
| | - Stefan K James
- Department of Medical Sciences, Scientific Director UCR, Uppsala University, Uppsala, Uppland, Sweden
| | - Javed Butler
- Department of Medicine, University of Mississippi Medical Center, 2500 N State St, Jackson, MS 39216, USA
- Baylor Scott & White Research Institute, Dallas, TX, USA
| | - Darren K McGuire
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center and Parkland Health and Hospital System, Dallas, TX, USA
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Diederichsen SZ, Xing LY, Frodi DM, Kongebro EK, Haugan KJ, Graff C, Højberg S, Krieger D, Brandes A, Køber L, Svendsen JH. Prevalence and Prognostic Significance of Bradyarrhythmias in Patients Screened for Atrial Fibrillation vs Usual Care: Post Hoc Analysis of the LOOP Randomized Clinical Trial. JAMA Cardiol 2023; 8:326-334. [PMID: 36790817 PMCID: PMC9932940 DOI: 10.1001/jamacardio.2022.5526] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Importance There is increasing interest in heart rhythm monitoring and technologies to detect subclinical atrial fibrillation (AF), which may lead to incidental diagnosis of bradyarrhythmias. Objective To assess bradyarrhythmia prevalence and prognostic significance in persons screened for AF using implantable loop recorder (ILR) compared with unscreened persons. Design, Setting, and Participants This was a post hoc analysis of the Implantable Loop Recorder Detection of Atrial Fibrillation to Prevent Stroke (LOOP) randomized clinical trial, which took place in 4 sites in Denmark. Participants were 70 years or older without known AF but diagnosed with at least 1 of the following: hypertension, diabetes, heart failure, or prior stroke. Participants were recruited by letter invitation between January 31, 2014, and May 17, 2016. The median (IQR) follow-up period was 65 (59-70) months. Analysis took place between February and June 2022. Interventions ILR screening for AF with treatment of any bradyarrhythmia left to the discretion of the treating physician (ILR group) vs usual care (control group). Main Outcomes and Measures Adjudicated bradyarrhythmia episodes, pacemaker implantation, syncope, and sudden cardiovascular death. Results A total of 6004 participants were randomized (mean [SD] age, 75 [4.1] years; 2837 [47.3%] female; 5444 [90.7%] with hypertension; 1224 [20.4%] with prior syncope), 4503 to control and 1501 to ILR. Bradyarrhythmia was diagnosed in 172 participants (3.8%) in the control group vs 312 participants (20.8%) in the ILR group (hazard ratio [HR], 6.21 [95% CI, 5.15-7.48]; P < .001), and these were asymptomatic in 41 participants (23.8%) vs 249 participants (79.8%), respectively. The most common bradyarrhythmia was sinus node dysfunction followed by high-grade atrioventricular block. Risk factors for bradyarrhythmia included higher age, male sex, and prior syncope. A pacemaker was implanted in 132 participants (2.9%) vs 67 (4.5%) (HR, 1.53 [95% CI, 1.14-2.06]; P < .001), syncope occurred in 120 (2.7%) vs 33 (2.2%) (HR, 0.83 [95% CI, 0.56-1.22]; P = .34), and sudden cardiovascular death occurred in 49 (1.1%) vs 18 (1.2%) (HR, 1.11 [95% CI, 0.64-1.90]; P = .71) in the control and ILR groups, respectively. Bradyarrhythmias were associated with subsequent syncope, cardiovascular death, and all-cause death, with no interaction between bradyarrhythmia and randomization group. Conclusions and Relevance More than 1 in 5 persons older than 70 years with cardiovascular risk factors can be diagnosed with bradyarrhythmias when long-term continous monitoring for AF is applied. In this study, ILR screening led to a 6-fold increase in bradyarrhythmia diagnoses and a significant increase in pacemaker implantations compared with usual care but no change in the risk of syncope or sudden death.
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Affiliation(s)
- Søren Zöga Diederichsen
- Department of Cardiology, Copenhagen University Hospital–Rigshospitalet, Copenhagen, Denmark
| | - Lucas Yixi Xing
- Department of Cardiology, Copenhagen University Hospital–Rigshospitalet, Copenhagen, Denmark
| | - Diana My Frodi
- Department of Cardiology, Copenhagen University Hospital–Rigshospitalet, Copenhagen, Denmark
| | - Emilie Katrine Kongebro
- Department of Cardiology, Copenhagen University Hospital–Rigshospitalet, Copenhagen, Denmark
| | - Ketil Jørgen Haugan
- Department of Cardiology, Zealand University Hospital Roskilde, Roskilde, Denmark
| | - Claus Graff
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Søren Højberg
- Department of Cardiology, Copenhagen University Hospital–Bispebjerg, Copenhagen, Denmark
| | - Derk Krieger
- Stroke Unit, Mediclinic City Hospital, Dubai, United Arab Emirates
| | - Axel Brandes
- Department of Cardiology, Odense University Hospital, Odense, Denmark,Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark,Department of Internal Medicine–Cardiology, University Hospital of Southern Denmark–Esbjerg, Esbjerg, Denmark
| | - Lars Køber
- Department of Cardiology, Copenhagen University Hospital–Rigshospitalet, Copenhagen, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Hastrup Svendsen
- Department of Cardiology, Copenhagen University Hospital–Rigshospitalet, Copenhagen, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Clinical Validation of a Smartphone-based Handheld ECG Device: A Validation Study. Crit Pathw Cardiol 2022; 21:165-171. [PMID: 36413393 DOI: 10.1097/hpc.0000000000000303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Remote cardiac monitoring and screening have already become an integral telemedicine component. The wide usage of several different wireless electrocardiography (ECG) devices warrants a validation study on their accuracy and reliability. METHODS Totally, 300 inpatients with the Nabz Hooshmand-1 handheld ECG device and the GE MAC 1200 ECG system (as the reference) were studied to check the accuracy of the devices in 1 and 6-limb lead performance. Simultaneous 10-second resting ECGs were assessed for the most common ECG parameters in lead I. Afterward, 6-lead ECGs (limb leads), were performed immediately and studied for their morphologies. RESULTS Of the 300 patients, 297 had acceptable ECG quality in both devices for simultaneous lead I ECGs. The ECGs were inspected on-screen by a cardiologist for their rhythms, rates, axes, numbers, morphologies of premature atrial and ventricular beats, morphologies and amplitudes of PQRST waves, P-wave durations, QRS-wave durations, P-R intervals, and QT intervals. No significant differences were detected between the devices, and no major abnormalities were missed. Six-limb lead ECGs were obtained in 284 patients, of whom 281 had acceptable quality in ECGs by both devices. The morphology matching evaluation of the ECGs demonstrated an overall 98% compatibility rate, with the highest compatibility in lead I and the lowest in lead augmented vector foot. CONCLUSIONS The diagnosis of critical pathological rhythms, including atrial fibrillation and high-grade atrioventricular node block, was not missed by the Nabz Hooshmand-1 and GE MAC 1200 ECG devices. Accordingly, rhythm detection as the primary purpose of handheld ECG devices was highly accurate. Both devices had acceptable sensitivity to diagnose long P-R and long and short QT intervals. Although the modern technology of smartphones and the physical inability for the 6-limb mode might cause old patients difficulty in utilizing such devices, their use for screening and follow-up is safe.
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Carrington M, Providência R, Chahal CAA, Ricci F, Epstein AE, Gallina S, Fedorowski A, Sutton R, Khanji MY. Monitoring and diagnosis of intermittent arrhythmias: evidence-based guidance and role of novel monitoring strategies. EUROPEAN HEART JOURNAL OPEN 2022; 2:oeac072. [PMID: 36440351 PMCID: PMC9683599 DOI: 10.1093/ehjopen/oeac072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 07/13/2022] [Accepted: 10/26/2022] [Indexed: 11/14/2022]
Abstract
Technological advances have made diagnosis of heart rhythm disturbances much easier, with a wide variety of options, including single-lead portable devices, smartphones/watches to sophisticated implantable cardiac monitors, allowing accurate data to be collected over different time periods depending on symptoms frequency. This review provides an overview of the novel and existing heart rhythm testing options, including a description of the supporting evidence for their use. A description of each of the tests is provided, along with discussion of their advantages and limitations. This is intended to help clinicians towards choosing the most appropriate test, thus improving diagnostic yield management of patients with suspected arrhythmias.
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Affiliation(s)
- Mafalda Carrington
- Cardiology Department, Hospital do Espírito Santo de Évora, Largo do Sr. da Pobreza, 7000-811 Évora, Portugal
| | - Rui Providência
- Barts Heart Centre, Barts Health NHS Trust, W Smithfield, London EC1A 7BE, UK
- Department of Cardiology, Newham University Hospital, Barts Health NHS Trust, Glen Road, London E13 8SL, UK
- Institute of Health Informatics Research, University College London, 222 Euston Road London, NW1 2DA, UK
| | - C Anwar A Chahal
- Barts Heart Centre, Barts Health NHS Trust, W Smithfield, London EC1A 7BE, UK
- Cardiovascular Division, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St. SW, Rochester, MN 55905, USA
| | - Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, “G.d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
- Department of Cardiology, Fondazione Villaserena per la Ricerca, Viale L. Petruzzi n. 42, 65013, Città S. Angelo, Italy
- Department of Clinical Sciences, Lund University, 205 02 Malmö, Sweden
| | - Andrew E Epstein
- Cardiovascular Division, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA
| | - Sabina Gallina
- Department of Neuroscience, Imaging and Clinical Sciences, “G.d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Artur Fedorowski
- Department of Clinical Sciences, Lund University, 205 02 Malmö, Sweden
- Department of Cardiology, Karolinska University Hospital, and Department of Medicine, Karolinska Institute, 171 64 Solna, Stockholm, Sweden
| | - Richard Sutton
- Department of Clinical Sciences, Lund University, 205 02 Malmö, Sweden
- Department of Cardiology, Hammersmith Hospital Campus, Imperial College, Du Cane Road, London W12 0HS, England, United Kingdom of Great Britain and Northern Ireland
| | - Mohammed Y Khanji
- Barts Heart Centre, Barts Health NHS Trust, W Smithfield, London EC1A 7BE, UK
- Department of Cardiology, Newham University Hospital, Barts Health NHS Trust, Glen Road, London E13 8SL, UK
- NIHR Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, Mile End Road, London E1 4NS, UK
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Garikapati K, Turnbull S, Bennett RG, Campbell TG, Kanawati J, Wong MS, Thomas SP, Chow CK, Kumar S. The Role of Contemporary Wearable and Handheld Devices in the Diagnosis and Management of Cardiac Arrhythmias. Heart Lung Circ 2022; 31:1432-1449. [PMID: 36109292 DOI: 10.1016/j.hlc.2022.08.001] [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: 04/13/2022] [Revised: 07/18/2022] [Accepted: 08/01/2022] [Indexed: 10/14/2022]
Abstract
Cardiac arrhythmias are associated with significant morbidity, mortality and economic burden on the health care system. Detection and surveillance of cardiac arrhythmias using medical grade non-invasive methods (electrocardiogram, Holter monitoring) is the accepted standard of care. Whilst their accuracy is excellent, significant limitations remain in terms of accessibility, ease of use, cost, and a suboptimal diagnostic yield (up to ∼50%) which is critically dependent on the duration of monitoring. Contemporary wearable and handheld devices that utilise photoplethysmography and the electrocardiogram present a novel opportunity for remote screening and diagnosis of arrhythmias. They have significant advantages in terms of accessibility and availability with the potential of enhancing the diagnostic yield of episodic arrhythmias. However, there is limited data on the accuracy and diagnostic utility of these devices and their role in therapeutic decision making in clinical practice remains unclear. Evidence is mounting that they may be useful in screening for atrial fibrillation, and anecdotally, for the diagnosis of other brady and tachyarrhythmias. Recently, there has been an explosion of patient uptake of such devices for self-monitoring of arrhythmias. Frequently, the clinician is presented such information for review and comment, which may influence clinical decisions about treatment. Further studies are needed before incorporation of such technologies in routine clinical practice, given the lack of systematic data on their accuracy and utility. Moreover, challenges with regulation of quality standards and privacy remain. This state-of-the-art review summarises the role of novel ambulatory, commercially available, heart rhythm monitors in the diagnosis and management of cardiac arrhythmias and their expanding role in the diagnostic and therapeutic paradigm in cardiology.
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Affiliation(s)
- Kartheek Garikapati
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, NSW Australia
| | - Samual Turnbull
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, NSW Australia
| | - Richard G Bennett
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, NSW Australia
| | - Timothy G Campbell
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, NSW Australia
| | - Juliana Kanawati
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, NSW Australia
| | - Mary S Wong
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, NSW Australia
| | - Stuart P Thomas
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, NSW Australia
| | - Clara K Chow
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, NSW Australia
| | - Saurabh Kumar
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, NSW Australia.
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Svennberg E, Tjong F, Goette A, Akoum N, Di Biase L, Bordachar P, Boriani G, Burri H, Conte G, Deharo JC, Deneke T, Drossart I, Duncker D, Han JK, Heidbuchel H, Jais P, de Oliviera Figueiredo MJ, Linz D, Lip GYH, Malaczynska-Rajpold K, Márquez M, Ploem C, Soejima K, Stiles MK, Wierda E, Vernooy K, Leclercq C, Meyer C, Pisani C, Pak HN, Gupta D, Pürerfellner H, Crijns HJGM, Chavez EA, Willems S, Waldmann V, Dekker L, Wan E, Kavoor P, Turagam MK, Sinner M. How to use digital devices to detect and manage arrhythmias: an EHRA practical guide. Europace 2022; 24:979-1005. [PMID: 35368065 DOI: 10.1093/europace/euac038] [Citation(s) in RCA: 101] [Impact Index Per Article: 50.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Affiliation(s)
- Emma Svennberg
- Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Fleur Tjong
- Heart Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Andreas Goette
- St. Vincenz Hospital Paderborn, Paderborn, Germany
- MAESTRIA Consortium/AFNET, Münster, Germany
| | - Nazem Akoum
- Heart Institute, University of Washington School of Medicine, Seattle, WA, USA
| | - Luigi Di Biase
- Albert Einstein College of Medicine at Montefiore Hospital, New York, NY, USA
| | | | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Haran Burri
- Cardiology Department, University Hospital of Geneva, Geneva, Switzerland
| | - Giulio Conte
- Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Jean Claude Deharo
- Assistance Publique-Hôpitaux de Marseille, Centre Hospitalier Universitaire La Timone, Service de Cardiologie, Marseille, France
- Aix Marseille Université, C2VN, Marseille, France
| | - Thomas Deneke
- Heart Center Bad Neustadt, Bad Neustadt an der Saale, Germany
| | - Inga Drossart
- European Society of Cardiology, Sophia Antipolis, France
- ESC Patient Forum, Sophia Antipolis, France
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Janet K Han
- Cardiac Arrhythmia Centers, Veterans Affairs Greater Los Angeles Healthcare System and University of California, Los Angeles, CA, USA
| | - Hein Heidbuchel
- Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium
- Cardiovascular Research Group, Antwerp University, Antwerp, Belgium
| | - Pierre Jais
- Bordeaux University Hospital, Bordeaux, France
| | | | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | | | - Manlio Márquez
- Department of Electrocardiology, Instituto Nacional de Cardiología, Mexico City, Mexico
| | - Corrette Ploem
- Department of Ethics, Law and Medical Humanities, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Kyoko Soejima
- Kyorin University School of Medicine, Mitaka, Tokyo, Japan
| | - Martin K Stiles
- Waikato Clinical School, University of Auckland, Hamilton, New Zealand
| | - Eric Wierda
- Department of Cardiology, Dijklander Hospital, Hoorn, the Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands
| | | | - Christian Meyer
- Division of Cardiology/Angiology/Intensive Care, EVK Düsseldorf, Teaching Hospital University of Düsseldorf, Düsseldorf, Germany
| | - Cristiano Pisani
- Arrhythmia Unit, Heart Institute, InCor, University of São Paulo Medical School, São Paulo, Brazil
| | - Hui Nam Pak
- Yonsei University, Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, Republic of Korea
| | - Dhiraj Gupta
- Faculty of Health and Life Sciences, Liverpool Heart and Chest Hospital, University of Liverpool, Liverpool, UK
| | | | - H J G M Crijns
- Em. Professor of Cardiology, University of Maastricht, Maastricht, Netherlands
| | - Edgar Antezana Chavez
- Division of Cardiology, Hospital General de Agudos Dr. Cosme Argerich, Pi y Margall 750, C1155AHB Buenos Aires, Argentina
- Division of Cardiology, Hospital Belga, Antezana 455, C0000 Cochabamba, Bolivia
| | | | - Victor Waldmann
- Electrophysiology Unit, European Georges Pompidou Hospital, Paris, France
- Adult Congenital Heart Disease Unit, European Georges Pompidou Hospital, Paris, France
| | - Lukas Dekker
- Catharina Ziekenhuis Eindhoven, Eindhoven, Netherlands
| | - Elaine Wan
- Cardiology and Cardiac Electrophysiology, Columbia University, New York, NY, USA
| | - Pramesh Kavoor
- Cardiology Department, Westmead Hospital, Westmead, New South Wales, Australia
| | | | - Moritz Sinner
- Univ. Hospital Munich, Campus Grosshadern, Munich, Germany
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11
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Beavers DL, Chung EH. Wearables in Sports Cardiology. Clin Sports Med 2022; 41:405-423. [PMID: 35710269 DOI: 10.1016/j.csm.2022.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The expanding array and adoption of consumer health wearables is creating a new dynamic to the patient-health-care provider relationship. Providers are increasingly tasked with integrating the biometric data collected from their patients into clinical care. Further, a growing body of evidence is supporting the provider-driven utility of wearables in the screening, diagnosis, and monitoring of cardiovascular disease. Here we highlight existing and emerging wearable health technologies and the potential applications for use within sports cardiology. We additionally highlight how wearables can advance the remote cardiovascular care of patients within the context of the COVID-19 pandemic. Finally, despite these promising advances, we acknowledge some of the significant challenges that remain before wearables can be routinely incorporated into clinical care.
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Affiliation(s)
- David L Beavers
- Department of Internal Medicine, Division of Cardiac Electrophysiology, University of Michigan, 1500 East Medical Center Drive, SPC 5853, Ann Arbor, MI 48109-5853, USA.
| | - Eugene H Chung
- Department of Internal Medicine, Division of Cardiac Electrophysiology, University of Michigan, 1500 East Medical Center Drive, SPC 5853, Ann Arbor, MI 48109-5853, USA
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12
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Mobile Single-Lead Electrocardiogram Technology for Atrial Fibrillation Detection in Acute Ischemic Stroke Patients. J Clin Med 2022; 11:jcm11030665. [PMID: 35160117 PMCID: PMC8836576 DOI: 10.3390/jcm11030665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/13/2022] [Accepted: 01/24/2022] [Indexed: 11/17/2022] Open
Abstract
(1) Background: AliveCor KardiaMobile (KM) is a portable electrocardiography recorder for detection of atrial fibrillation (AF). The aim of the study was to define the group of acute ischemic stroke (AIS) patients who can use the KM device and assess the diagnostic test accuracy. (2) Methods: the AIS patients were recruited to the study. Thirty-second single-lead electrocardiogram (ECG) usages were recorded on demand for three days using KM portable device. Each KM ECG record was verified by a cardiologist. The feasibility was evaluated using operationalization criteria. (3) Results: the recruitment rate among AIS patients was 26.3%. The withdrawal rate before the start of the intervention was 26%. The withdrawal rate after the start of the intervention was 6%. KM device detected AF in 2.8% of AIS patients and in 2.2% of ECG records. Cardiologist confirmed the AF in 0.3% AIS patients. Sensitivity and specificity of KM for AF was 100% and 98.3%, respectively. (4) Conclusions: the results of this study suggest that it is feasible to use KM device to detect AF in the selected AIS patients (younger and in better neurological condition). KM detected AF in the selected AIS patients with high specificity and sensitivity.
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13
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Ojha U, Ayathamattam J, Okonkwo K, Ogunmwonyi I. Recent Updates and Technological Developments in Evaluating Cardiac Syncope in the Emergency Department. Curr Cardiol Rev 2022; 18:e210422203887. [PMID: 35593355 PMCID: PMC9893151 DOI: 10.2174/1573403x18666220421110935] [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: 01/21/2022] [Revised: 02/21/2022] [Accepted: 02/24/2022] [Indexed: 11/22/2022] Open
Abstract
Syncope is a commonly encountered problem in the emergency department (ED), accounting for approximately 3% of presenting complaints. Clinical assessment of syncope can be challenging due to the diverse range of conditions that can precipitate the symptom. Annual mortality for patients presenting with syncope ranges from 0-12%, and if the syncope is secondary to a cardiac cause, then this figure rises to 18-33%. In ED, it is paramount to accurately identify those presenting with syncope, especially patients with an underlying cardiac aetiology, initiate appropriate management, and refer them for further investigations. In 2018, the European Society of Cardiology (ESC) updated its guidelines with regard to diagnosing and managing patients with syncope. We highlight recent developments and considerations in various components of the workup, such as history, physical examination, investigations, risk stratification, and novel biomarkers, since the establishment of the 2018 ESC guidelines. We further discuss the emerging role of artificial intelligence in diagnosing cardiac syncope and postulate how wearable technology may transform evaluating cardiac syncope in ED.
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Affiliation(s)
- Utkarsh Ojha
- Department of Cardiology, Royal Brompton & Harefield Hospitals, England, UK
| | - James Ayathamattam
- Department of Medicine, Royal Lancaster Infirmary, Lancaster, United Kingdom
| | - Kenneth Okonkwo
- Department of Medicine, Royal Lancaster Infirmary, Lancaster, United Kingdom
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14
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Salar Alcaraz ME, Buendía Santiago F, Flores Blanco PJ, García Alberola A, Pascual Figal DA, Manzano Fernández S. Usefulness of a smartphone-based event recorder for ambulatory patients with palpitations. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2021; 74:1114-1116. [PMID: 34244088 DOI: 10.1016/j.rec.2021.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/11/2021] [Indexed: 06/13/2023]
Affiliation(s)
- María Eladia Salar Alcaraz
- Servicio de Cardiología, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria, El Palmar, Murcia, Spain.
| | | | - Pedro José Flores Blanco
- Servicio de Cardiología, Hospital Universitario los Arcos del Mar Menor, Instituto Murciano de Investigación Biosanitaria, San Javier, Murcia, Spain
| | - Arcadio García Alberola
- Servicio de Cardiología, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria, El Palmar, Murcia, Spain; Departamento de Medicina Interna, Facultad de Medicina, Universidad de Murcia, Murcia, Spain
| | - Domingo Andrés Pascual Figal
- Servicio de Cardiología, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria, El Palmar, Murcia, Spain; Departamento de Medicina Interna, Facultad de Medicina, Universidad de Murcia, Murcia, Spain
| | - Sergio Manzano Fernández
- Servicio de Cardiología, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria, El Palmar, Murcia, Spain; Departamento de Medicina Interna, Facultad de Medicina, Universidad de Murcia, Murcia, Spain
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15
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Salar Alcaraz ME, Buendía Santiago F, Flores Blanco PJ, García Alberola A, Pascual Figal DA, Manzano Fernández S. Utilidad de un registrador de eventos vinculado al teléfono móvil de pacientes con palpitaciones. Rev Esp Cardiol (Engl Ed) 2021. [DOI: 10.1016/j.recesp.2021.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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16
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Cullen J, Reed MJ, Muir A, Murphy R, Pollard V, Zangana G, Krupej S, Askham S, Holdsworth P, Davies L. Experience of a smartphone ambulatory ECG clinic for emergency department patients with palpitation: a single-centre cohort study. Eur J Emerg Med 2021; 28:463-468. [PMID: 34406135 DOI: 10.1097/mej.0000000000000859] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND IMPORTANCE Palpitation is one of the commonest presenting complaints to the emergency department (ED). Diagnosis depends on capturing an ECG during the episode. Unlike syncope, patients retain consciousness and therefore their ability to activate an ECG event recorder. The Investigation of Palpitation in the ED study demonstrated Food and Drug Administration approved AliveCor/Kardia device that links to a smartphone app was safe and effective. A Smartphone Palpitation and Pre-syncope Ambulatory Care Clinic was therefore established. OBJECTIVES To review the first year of patients attending the service to determine the number and cost-effectiveness of cardiac dysrhythmias diagnoses. DESIGN Single-center cohort study. SETTINGS AND PARTICIPANTS Royal Infirmary of Edinburgh, UK. All patients (over 16 years) presenting consecutively to ED with palpitation or pre-syncope, whose ECG was normal, had a compatible device and where an underlying cardiac dysrhythmia was possible were enrolled. INTERVENTION Ambulatory Care Clinic utilizing the AliveCor/Kardia device. OUTCOME MEASURES AND ANALYSIS Number diagnosed with cardiac dysrhythmia and mean cost per diagnosis. MAIN RESULTS Between 24 July 2019 and 23 July 2020, 290 consecutive patients were referred of age 16-80 years (mean 43.3, SD 15.0). One hundred twenty (41.4%) were male. Two hundred thirty-seven (81.7%) were fitted with the device and 220 (75.9%) underwent full investigation. Seventeen of 237 (7.2%) patients had a cardiac diagnosis (12 atrial fibrillation/flutter, 5 supraventricular tachycardia and 1 atrial tachycardia). CONCLUSIONS There were 17 cardiac diagnoses (7.2%). The cost per symptomatic rhythm diagnosis was 358 GBP (~415 Euro) and the cost per cardiac dysrhythmia diagnosis was 4570 GBP (~5298 Euro). A smartphone-based event recorder clinic should be considered for ED palpitation patients.
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Affiliation(s)
- Julia Cullen
- Emergency Medicine Research Group Edinburgh (EMERGE), Department of Emergency Medicine, Royal Infirmary of Edinburgh
- Acute Medicine, NHS Lothian
| | - Matthew J Reed
- Emergency Medicine Research Group Edinburgh (EMERGE), Department of Emergency Medicine, Royal Infirmary of Edinburgh
- Acute Care Group, Usher Institute of Population Health Sciences and Informatics, College of Medicine and Veterinary Medicine, University of Edinburgh, Nine Edinburgh BioQuarter, Edinburgh, UK
| | - Alexandra Muir
- Emergency Medicine Research Group Edinburgh (EMERGE), Department of Emergency Medicine, Royal Infirmary of Edinburgh
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Williams J, Mills MT, Warriner DR. Implications of the 2021 National Institute for Health and Care Excellence atrial fibrillation guidelines. Br J Hosp Med (Lond) 2021; 82:1-4. [PMID: 34601928 DOI: 10.12968/hmed.2021.0419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
In 2021 the National Institute for Health and Care Excellence updated its guidance for diagnosing and managing atrial fibrillation. This editorial summarises the key changes made in these guidelines and discusses their implementation in UK clinical practice.
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Affiliation(s)
- Jake Williams
- Department of Cardiology, Northern General Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Mark T Mills
- Department of Cardiology, Northern General Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.,Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - David R Warriner
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.,Department of Cardiology, Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust, Doncaster, UK.,Department of Congenital Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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18
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Nagarajan VD, Lee SL, Robertus JL, Nienaber CA, Trayanova NA, Ernst S. Artificial intelligence in the diagnosis and management of arrhythmias. Eur Heart J 2021; 42:3904-3916. [PMID: 34392353 PMCID: PMC8497074 DOI: 10.1093/eurheartj/ehab544] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 01/06/2021] [Accepted: 07/27/2021] [Indexed: 01/05/2023] Open
Abstract
The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI) methodologies for decades. Recent renewed interest in deep learning techniques has opened new frontiers in electrocardiography analysis including signature identification of diseased states. Artificial intelligence advances coupled with simultaneous rapid growth in computational power, sensor technology, and availability of web-based platforms have seen the rapid growth of AI-aided applications and big data research. Changing lifestyles with an expansion of the concept of internet of things and advancements in telecommunication technology have opened doors to population-based detection of atrial fibrillation in ways, which were previously unimaginable. Artificial intelligence-aided advances in 3D cardiac imaging heralded the concept of virtual hearts and the simulation of cardiac arrhythmias. Robotics, completely non-invasive ablation therapy, and the concept of extended realities show promise to revolutionize the future of EP. In this review, we discuss the impact of AI and recent technological advances in all aspects of arrhythmia care.
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Affiliation(s)
- Venkat D Nagarajan
- Department of Cardiology, Royal Brompton and Harefield NHS Foundation Trust, Sydney Street, London SW3 6NP, UK.,Department of Cardiology, Doncaster and Bassetlaw Hospitals, NHS Foundation Trust, Thorne Road, Doncaster DN2 5LT, UK
| | - Su-Lin Lee
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), UCL, Foley Street, London W1W 7TS, UK
| | - Jan-Lukas Robertus
- Department of Pathology, Royal Brompton and Harefield NHS Foundation Trust, Sydney Street, London SW3 6NP, UK.,National Heart and Lung Institute, Imperial College London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
| | - Christoph A Nienaber
- Department of Cardiology, Royal Brompton and Harefield NHS Foundation Trust, Sydney Street, London SW3 6NP, UK.,National Heart and Lung Institute, Imperial College London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
| | - Natalia A Trayanova
- Department of Biomedical Engineering, Johns Hopkins University, Charles Street, Baltimore, MD 21218, USA
| | - Sabine Ernst
- Department of Cardiology, Royal Brompton and Harefield NHS Foundation Trust, Sydney Street, London SW3 6NP, UK.,National Heart and Lung Institute, Imperial College London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
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19
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Bayoumy K, Gaber M, Elshafeey A, Mhaimeed O, Dineen EH, Marvel FA, Martin SS, Muse ED, Turakhia MP, Tarakji KG, Elshazly MB. Smart wearable devices in cardiovascular care: where we are and how to move forward. Nat Rev Cardiol 2021; 18:581-599. [PMID: 33664502 PMCID: PMC7931503 DOI: 10.1038/s41569-021-00522-7] [Citation(s) in RCA: 213] [Impact Index Per Article: 71.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/01/2021] [Indexed: 01/31/2023]
Abstract
Technological innovations reach deeply into our daily lives and an emerging trend supports the use of commercial smart wearable devices to manage health. In the era of remote, decentralized and increasingly personalized patient care, catalysed by the COVID-19 pandemic, the cardiovascular community must familiarize itself with the wearable technologies on the market and their wide range of clinical applications. In this Review, we highlight the basic engineering principles of common wearable sensors and where they can be error-prone. We also examine the role of these devices in the remote screening and diagnosis of common cardiovascular diseases, such as arrhythmias, and in the management of patients with established cardiovascular conditions, for example, heart failure. To date, challenges such as device accuracy, clinical validity, a lack of standardized regulatory policies and concerns for patient privacy are still hindering the widespread adoption of smart wearable technologies in clinical practice. We present several recommendations to navigate these challenges and propose a simple and practical 'ABCD' guide for clinicians, personalized to their specific practice needs, to accelerate the integration of these devices into the clinical workflow for optimal patient care.
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Affiliation(s)
- Karim Bayoumy
- Department of Medicine, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY, USA
| | - Mohammed Gaber
- Department of Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
| | | | - Omar Mhaimeed
- Department of Medical Education, Weill Cornell Medicine, Doha, Qatar
| | - Elizabeth H Dineen
- Department of Cardiovascular Medicine, University of California Irvine, Irvine, CA, USA
| | - Francoise A Marvel
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Seth S Martin
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Evan D Muse
- Scripps Research Translational Institute and Division of Cardiovascular Diseases, Scripps Clinic, La Jolla, CA, USA
| | - Mintu P Turakhia
- Center for Digital Health, Stanford University, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Khaldoun G Tarakji
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Mohamed B Elshazly
- Department of Medical Education, Weill Cornell Medicine, Doha, Qatar.
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
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20
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Sanders DJ, Wasserlauf J, Passman RS. Use of Smartphones and Wearables for Arrhythmia Monitoring. Card Electrophysiol Clin 2021; 13:509-522. [PMID: 34330377 DOI: 10.1016/j.ccep.2021.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Smartphones and other wearable electronic devices increasingly are used for ambulatory cardiac rhythm assessment. These consumer technologies have been evaluated in several studies for diagnosis and management of atrial fibrillation. Diverse mobile health applications, including management of other arrhythmias and medical conditions, are expanding alongside advances in technology. Electronic devices owned by millions of consumers have the potential to alter health care delivery as well as research design and implementation. This review provides an up-to-date discussion of the available mobile health technologies, specific applications and limitations for arrhythmia evaluation, their impact on health care systems, and key areas for future investigation.
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Affiliation(s)
- David J Sanders
- Department of Internal Medicine, Division of Cardiology, Rush University, 1717 West Harrison Street, Suite 331, Chicago, IL 60612, USA
| | - Jeremiah Wasserlauf
- Department of Internal Medicine, Division of Cardiology, Rush University, 1717 West Harrison Street, Suite 331, Chicago, IL 60612, USA
| | - Rod S Passman
- Department of Internal Medicine, Division of Cardiology, Northwestern University Feinberg School of Medicine, 251 East Huron, Feinberg 8-503, Chicago, IL 60611, USA.
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21
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Abstract
Background QTc prolongation is an adverse effect of COVID-19 therapies. The use of a handheld device in this scenario has not been addressed. Objectives To evaluate the feasibility of QTc monitoring with a smart device in COVID-19 patients receiving QTc-interfering therapies. Methods Prospective study of consecutive COVID-19 patients treated with hydroxychloroquine ± azithromycin ± lopinavir-ritonavir. ECG monitoring was performed with 12-lead ECG or with KardiaMobile-6L. Both registries were also sequentially obtained in a cohort of healthy patients. We evaluated differences in QTc in COVID-19 patients between three different monitoring strategies: 12-lead ECG at baseline and follow-up (A), 12-lead ECG at baseline and follow-up with the smart device (B), and fully monitored with handheld 6-lead ECG (group C). Time needed to obtain an ECG registry was also documented. Results One hundred and eighty-two COVID-19 patients were included (A: 119(65.4%); B: 50(27.5%); C: 13(7.1%). QTc peak during hospitalization did significantly increase in all groups. No differences were observed between the three monitoring strategies in QTc prolongation (p = 0.864). In the control group, all but one ECG registry with the smart device allowed QTc measurement and mean QTc did not differ between both techniques (p = 0.612), displaying a moderate reliability (ICC 0.56 [0.19-0.76]). Time of ECG registry was significantly longer for the 12-lead ECG than for handheld device in both cohorts (p < 0.001). Conclusion QTc monitoring with KardiaMobile-6L in COVID-19 patients was feasible. Time of ECG registration was significantly lower with the smart device, which may offer an important advantage for prevention of virus dissemination among healthcare providers.
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22
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Krzowski B, Skoczylas K, Osak G, Żurawska N, Peller M, Kołtowski Ł, Zych A, Główczyńska R, Lodziński P, Grabowski M, Opolski G, Balsam P. Kardia Mobile and ISTEL HR applicability in clinical practice: a comparison of Kardia Mobile, ISTEL HR, and standard 12-lead electrocardiogram records in 98 consecutive patients of a tertiary cardiovascular care centre. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2021; 2:467-476. [PMID: 36713595 PMCID: PMC9707955 DOI: 10.1093/ehjdh/ztab040] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/20/2021] [Accepted: 05/11/2021] [Indexed: 02/01/2023]
Abstract
Aims Mobile, portable ECG-recorders allow the assessment of heart rhythm in out-of-hospital conditions and may prove useful for monitoring patients with cardiovascular diseases. However, the effectiveness of these portable devices has not been tested in everyday practice. Methods and results A group of 98 consecutive cardiology patients [62 males (63%), mean age 69 ± 12.9 years] were included in an academic care centre. For each patient, a standard 12-lead electrocardiogram (SE), as well as a Kardia Mobile 6L (KM) and Istel (IS) HR-2000 ECG were performed. Two groups of experienced physicians analysed obtained recordings. After analysing ECG tracings from SE, KM, and IS, quality was marked as good in 82%, 80%, and 72% of patients, respectively (P < 0.001). There were no significant differences between devices in terms of detecting sinus rhythm [SE (60%, n = 59), KM (58%, n = 56), and IS (61%, n = 60); SE vs. KM P = 0.53; SE vs. IS P = 0.76) and atrial fibrillation [SE (22%, n = 22), KM (22%, n = 21), and IS (18%, n = 18); (SE vs. KM P = 0.65; SE vs. IS = 0.1)]. KM had a sensitivity of 88.1% and a specificity of 89.7% for diagnosing sinus rhythm. IS showed 91.5% and 84.6% sensitivity and specificity, respectively. The sensitivity of KM in detecting atrial fibrillation was higher than IS (86.4% vs. 77.3%), but their specificity was comparable (97.4% vs. 98.7%). Conclusion Novel, portable devices are useful in showing sinus rhythm and detecting atrial fibrillation in clinical practice. However, ECG measurements concerning conduction and repolarization should be clarified with a standard 12-lead electrocardiogram.
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Affiliation(s)
- Bartosz Krzowski
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland,Corresponding author. Tel: +48 22 599 29 58,
| | - Kamila Skoczylas
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
| | - Gabriela Osak
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
| | - Natalia Żurawska
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
| | - Michał Peller
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
| | - Łukasz Kołtowski
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
| | - Aleksandra Zych
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
| | - Renata Główczyńska
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
| | - Piotr Lodziński
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
| | - Marcin Grabowski
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
| | - Grzegorz Opolski
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
| | - Paweł Balsam
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Street, 02-097 Warsaw, Poland
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23
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Phillips D, O’Callaghan P, Zaidi A. Arrhythmia in an athlete diagnosed by smartphone electrocardiogram: a case report. Eur Heart J Case Rep 2021; 5:ytab186. [PMID: 34056525 PMCID: PMC8142154 DOI: 10.1093/ehjcr/ytab186] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/13/2020] [Accepted: 04/16/2021] [Indexed: 11/14/2022]
Abstract
Background This is the first case report demonstrating the use of a smartphone device, enabling the diagnosis of an arrhythmia in the sports cardiology literature. Case summary A 17-year-old semi-professional rugby player presented with recurrent episodes of palpitations terminated by vagal manoeuvres. The rugby player’s resting 12-lead electrocardiogram (ECG), echocardiogram, and exercise stress test were normal. Due to his suggestive history and an ECG trace from a smartphone device, demonstrating a narrow complex tachycardia, an electrophysiological study was arranged. The study demonstrated a slow-fast atrioventricular nodal re-entrant tachycardia which was successfully ablated. Discussion The ambulatory use of a smartphone ECG device assisted in the timely diagnosis and management of an undiagnosed paroxysmal arrhythmia in a rugby player. This resulted in an expedited return to play.
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Affiliation(s)
- Daniel Phillips
- Department of Cardiology, University Hospital of Wales, Heath Park, Cardiff CF14 4XW, UK
| | - Peter O’Callaghan
- Department of Cardiology, University Hospital of Wales, Heath Park, Cardiff CF14 4XW, UK
| | - Abbas Zaidi
- Department of Cardiology, University Hospital of Wales, Heath Park, Cardiff CF14 4XW, UK
- Corresponding author. Tel: +442920744988,
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24
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Biersteker TE, Schalij MJ, Treskes RW. Impact of Mobile Health Devices for the Detection of Atrial Fibrillation: Systematic Review. JMIR Mhealth Uhealth 2021; 9:e26161. [PMID: 33908885 PMCID: PMC8116993 DOI: 10.2196/26161] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/25/2021] [Accepted: 03/22/2021] [Indexed: 12/11/2022] Open
Abstract
Background Atrial fibrillation (AF) is the most common arrhythmia, and its prevalence is increasing. Early diagnosis is important to reduce the risk of stroke. Mobile health (mHealth) devices, such as single-lead electrocardiogram (ECG) devices, have been introduced to the worldwide consumer market over the past decade. Recent studies have assessed the usability of these devices for detection of AF, but it remains unclear if the use of mHealth devices leads to a higher AF detection rate. Objective The goal of the research was to conduct a systematic review of the diagnostic detection rate of AF by mHealth devices compared with traditional outpatient follow-up. Study participants were aged 16 years or older and had an increased risk for an arrhythmia and an indication for ECG follow-up—for instance, after catheter ablation or presentation to the emergency department with palpitations or (near) syncope. The intervention was the use of an mHealth device, defined as a novel device for the diagnosis of rhythm disturbances, either a handheld electronic device or a patch-like device worn on the patient’s chest. Control was standard (traditional) outpatient care, defined as follow-up via general practitioner or regular outpatient clinic visits with a standard 12-lead ECG or Holter monitoring. The main outcome measures were the odds ratio (OR) of AF detection rates. Methods Two reviewers screened the search results, extracted data, and performed a risk of bias assessment. A heterogeneity analysis was performed, forest plot made to summarize the results of the individual studies, and albatross plot made to allow the P values to be interpreted in the context of the study sample size. Results A total of 3384 articles were identified after a database search, and 14 studies with a 4617 study participants were selected. All studies but one showed a higher AF detection rate in the mHealth group compared with the control group (OR 1.00-35.71), with all RCTs showing statistically significant increases of AF detection (OR 1.54-19.16). Statistical heterogeneity between studies was considerable, with a Q of 34.1 and an I2 of 61.9, and therefore it was decided to not pool the results into a meta-analysis. Conclusions Although the results of 13 of 14 studies support the effectiveness of mHealth interventions compared with standard care, study results could not be pooled due to considerable clinical and statistical heterogeneity. However, smartphone-connectable ECG devices provide patients with the ability to document a rhythm disturbance more easily than with standard care, which may increase empowerment and engagement with regard to their illness. Clinicians must beware of overdiagnosis of AF, as it is not yet clear when an mHealth-detected episode of AF must be deemed significant.
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Varma N, Cygankiewicz I, Turakhia MP, Heidbuchel H, Hu YF, Chen LY, Couderc JP, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini JP, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society. Circ Arrhythm Electrophysiol 2021; 14:e009204. [PMID: 33573393 PMCID: PMC7892205 DOI: 10.1161/circep.120.009204] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Supplemental Digital Content is available in the text. This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society describes the current status of mobile health technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self-management are novel aspects of mobile health. The promises of predictive analytics but also operational challenges in embedding mobile health into routine clinical care are explored.
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Affiliation(s)
- Niraj Varma
- Cleveland Clinic, OH (N.V., J.D.E., R.M., R.E.R.)
| | | | | | | | - Yu-Feng Hu
- Taipei Veterans General Hospital, Taiwan (Y.-F.H.)
| | | | | | | | | | | | | | - Reena Mehra
- Cleveland Clinic, OH (N.V., J.D.E., R.M., R.E.R.)
| | - Alex Page
- University of Rochester, NY (J.-P.C., A.P., J.S.S.)
| | - Rod Passman
- Northwestern University Feinberg School of Medicine, Chicago, IL (R. Passman)
| | | | - Ewa Piotrowicz
- National Institute of Cardiology, Warsaw, Poland (E.P., R. Piotrowicz)
| | | | | | - Antonio Luiz Ribeiro
- Faculdade de Medicina, Centro de Telessaúde, Hospital das Clínicas, and Departamento de Clínica Médica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil (A.L.R.)
| | | | - Andrea M Russo
- Cooper Medical School of Rowan University, Camden, NJ (A.M.R.)
| | - David Slotwiner
- Cardiology Division, New York-Presbyterian Queens, NY (D.S.)
| | | | - Emma Svennberg
- Karolinska University Hospital, Stockholm, Sweden (E.S.)
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Establishing a Smartphone Ambulatory ECG Service for Patients Presenting to the Emergency Department with Pre-Syncope and Palpitations. ACTA ACUST UNITED AC 2021; 57:medicina57020147. [PMID: 33562066 PMCID: PMC7915873 DOI: 10.3390/medicina57020147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/01/2021] [Accepted: 02/04/2021] [Indexed: 11/23/2022]
Abstract
Background and Objectives: The Investigation of Palpitations in the ED (IPED) study showed that a smartphone-based event recorder increased the number of patients in whom an electrocardiogram (ECG) was captured during symptoms over five-fold to more than 55% at 90 days compared to standard care and concluded that this safe, non-invasive and easy-to-use device should be considered part of on-going care to all patients presenting acutely with unexplained palpitations or pre-syncope. This study reports the process of establishing a smartphone palpitation and pre-syncope ambulatory care Clinic (SPACC) service. Materials and Methods: A clinical standard operating procedure (SOP) was devised, and funding was secured through a business case for the purchase of 40 AliveCor devices in the first instance. The clinic was launched on 22 July 2019. Results: Between 22 July 2019 and 31 October 2019, 68 patients seen in the emergency departments (EDs) with palpitations or pre-syncope were referred to SPACC. Of those, 30 were male and 38 were female, and the mean age was 45.8 years old (SD 15.1) with a range from 18 years old to 80 years old. A total of 50 (74%) patients underwent full investigation. On the first assessment, seven (10%) patients were deemed to have non-cardiac palpitations and were not fitted with the device. All patients who underwent full investigation achieved symptomatic rhythm correlation most with sinus rhythm, ventricular ectopics, or bigeminy. A symptomatic cardiac dysrhythmia was detected in six (8.8%) patients. Three patients had supraventricular tachycardia (4%), two had atrial fibrillation (3%), and one had atrial flutter (2%). Qualitative feedback from the SPACC team suggested several areas where improvement to the clinic could be made. Conclusion: We believe a smartphone palpitation service based on ambulatory care is simple to implement and is effective at detecting cardiac dysrhythmia in ED palpitation patients.
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Kim NH, Ko JS. Introduction of Wearable Device in Cardiovascular Field for Monitoring Arrhythmia. Chonnam Med J 2021; 57:1-6. [PMID: 33537213 PMCID: PMC7840341 DOI: 10.4068/cmj.2021.57.1.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 01/05/2021] [Accepted: 01/06/2021] [Indexed: 11/15/2022] Open
Abstract
There has been increasing adoption of wearable smart devices in health care field and they enable non-invasive continuous monitoring of various cardiac parameters. Lots of studies have demonstrated that ambulatory monitoring devices were able to provide data for reliable diagnostics for arrhythmia. Distinguishing features of wearables such as ubiquitous continuous monitoring make it a convincing alternative to traditional diagnostic devices. Additionally, this revolutionary technology does not only enhance the diagnostic utility of wearable devices, but has also facilitated remote health care using IOT (internet of things) capability. In this review, the authors aim to present the state of current technologic development of smart wearables for detection of arrhythmia and comment on future perspectives with reviewing recent studies focused on clinical utility.
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Affiliation(s)
- Nam Ho Kim
- Division of Cardiology, Department of Internal Medicine, Wonkwang University School of Medicine, Iksan, Korea
| | - Jum Suk Ko
- Division of Cardiology, Department of Internal Medicine, Wonkwang University School of Medicine, Iksan, Korea
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2021 ISHNE/HRS/EHRA/APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. CARDIOVASCULAR DIGITAL HEALTH JOURNAL 2021; 2:4-54. [PMID: 35265889 PMCID: PMC8890358 DOI: 10.1016/j.cvdhj.2020.11.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society describes the current status of mobile health ("mHealth") technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self-management are novel aspects of mHealth. The promises of predictive analytics but also operational challenges in embedding mHealth into routine clinical care are explored.
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Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc JP, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE/ HRS/ EHRA/ APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society. Ann Noninvasive Electrocardiol 2021; 26:e12795. [PMID: 33513268 PMCID: PMC7935104 DOI: 10.1111/anec.12795] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 08/03/2020] [Indexed: 02/06/2023] Open
Abstract
This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/ Heart Rhythm Society/ European Heart Rhythm Association/ Asia Pacific Heart Rhythm Society describes the current status of mobile health ("mHealth") technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self‐management are novel aspects of mHealth. The promises of predictive analytics but also operational challenges in embedding mHealth into routine clinical care are explored.
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Affiliation(s)
| | | | | | - Hein Heidbuchel
- Antwerp University and University Hospital, Antwerp, Belgium
| | - Yufeng Hu
- Taipei Veterans General Hospital, Taipei, Taiwan
| | | | | | | | | | | | | | | | - Alex Page
- University of Rochester, Rochester, NY, USA
| | - Rod Passman
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | | | | | - Antonio Luiz Ribeiro
- Faculdade de Medicina, Centro de Telessaúde, Hospital das Clínicas, and Departamento de Clínica Médica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Andrea M Russo
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - David Slotwiner
- Cardiology Division, NewYork-Presbyterian Queens, and School of Health Policy and Research, Weill Cornell Medicine, New York, NY, USA
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Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc JP, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society. J Arrhythm 2021; 37:271-319. [PMID: 33850572 PMCID: PMC8022003 DOI: 10.1002/joa3.12461] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 08/03/2020] [Indexed: 02/06/2023] Open
Abstract
This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society describes the current status of mobile health (“mHealth”) technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self‐management are novel aspects of mHealth. The promises of predictive analytics but also operational challenges in embedding mHealth into routine clinical care are explored.
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Affiliation(s)
| | | | | | | | - Yufeng Hu
- Taipei Veterans General Hospital Taipei Taiwan
| | | | | | | | | | | | | | | | - Alex Page
- University of Rochester Rochester NY USA
| | - Rod Passman
- Northwestern University Feinberg School of Medicine Chicago IL USA
| | | | | | | | | | - Antonio Luiz Ribeiro
- Faculdade de Medicina Centro de Telessaúde Hospital das Clínicas and Departamento de Clínica Médica Universidade Federal de Minas Gerais Belo Horizonte Brazil
| | | | | | - David Slotwiner
- Cardiology Division NewYork-Presbyterian Queens and School of Health Policy and Research Weill Cornell Medicine New York NY USA
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Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc J, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE / HRS / EHRA / APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology / Heart Rhythm Society / European Heart Rhythm Association / Asia Pacific Heart Rhythm Society. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2021; 2:7-48. [PMID: 36711170 PMCID: PMC9708018 DOI: 10.1093/ehjdh/ztab001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology / Heart Rhythm Society / European Heart Rhythm Association / Asia Pacific Heart Rhythm Society describes the current status of mobile health ("mHealth") technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self-management are novel aspects of mHealth. The promises of predictive analytics but also operational challenges in embedding mHealth into routine clinical care are explored.
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Affiliation(s)
- Niraj Varma
- Cleveland Clinic, Cleveland, OH, USA,Correspondence: Niraj Varma, Cleveland Clinic, Cleveland, OH, USA.
| | | | | | - Hein Heidbuchel
- Antwerp University and University Hospital, Antwerp, Belgium
| | - Yufeng Hu
- Taipei Veterans General Hospital, Taipei, Taiwan
| | | | | | | | | | | | | | | | - Alex Page
- University of Rochester, Rochester, NY, USA
| | - Rod Passman
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | | | | | - Antonio Luiz Ribeiro
- Faculdade de Medicina, Centro de Telessaúde, Hospital das Clínicas, and Departamento de Clínica Médica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Andrea M Russo
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - David Slotwiner
- Cardiology Division, NewYork-Presbyterian Queens, and School of Health, Policy and Research, Weill Cornell Medicine, New York, NY, USA
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See VY, Kwong HJ. Wearing Your Heart on Your Wrist: How Wearable Smart Devices Are Shaping the Landscape of Early Cardiac Arrhythmia Detection. JACC Case Rep 2020; 2:434-436. [PMID: 34317257 PMCID: PMC8311711 DOI: 10.1016/j.jaccas.2019.12.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Vincent Y See
- Cardiac Electrophysiology Section, Cardiovascular Medicine Division, University of Maryland School of Medicine, University of Maryland Medical Center, Baltimore, Maryland
| | - Helaine J Kwong
- Cardiac Electrophysiology Section, Cardiovascular Medicine Division, University of Maryland School of Medicine, University of Maryland Medical Center, Baltimore, Maryland
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