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Sandgren E, Hermans ANL, Gawalko M, Betz K, Sohaib A, Fung CH, Hillmann HAK, van der Velden RMJ, Verhaert D, Scherr D, Sultan A, Steven D, Pisters R, Hemels M, Lodziński P, Chaldoupi SM, Gupta D, Gruwez H, Pluymaekers NAHA, Hendriks JM, Nørregaard M, Manninger M, Duncker D, Linz D. Smartphone app-based approximation of time spent with atrial fibrillation and symptoms in patients after catheter ablation: data from the TeleCheck-AF project. Europace 2024; 26:euae247. [PMID: 39344253 PMCID: PMC11481324 DOI: 10.1093/europace/euae247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 09/03/2024] [Accepted: 09/17/2024] [Indexed: 10/01/2024] Open
Abstract
AIMS Reduction of atrial fibrillation (AF) burden is the preferred outcome measure over categorical AF rhythm recurrence after AF ablation. In this sub-analysis of the TeleCheck-AF project, we tested the feasibility of smartphone app-based approximation of time spent with AF and/or symptoms. METHODS AND RESULTS Patients scheduled for at least one teleconsultation during the 12-month follow-up after AF ablation were instructed to use a smartphone photoplethysmography-based application for simultaneous symptom and rhythm monitoring three times daily for 1 week. Proxies of time spent with AF and/or symptoms (% recordings, load, and % days), temporal aggregation of AF and/or symptoms (density), and symptom-rhythm correlation (SRC) were assessed. In total, 484 patients (60% male, 62 ± 9.9 years) were included. Adherence, motivation, and patient satisfaction were high. %AF recordings, AF load, and %AF days (rs = 0.88-0.95) and %symptom recordings, symptom load, and %symptom days (rs = 0.95-0.98) showed positive correlations. The SRC correlated negatively with time spent with symptoms (rs = -0.65-0.90) and with time spent with AF (rs = -0.31-0.34). In patients with paroxysmal AF before ablation and AF during the monitoring period, 87% (n = 39/44) had a low-density score <50% ('paroxysmal AF pattern') while 5% (n = 2/44) had a high-density score >90% ('persistent AF pattern'). Corresponding numbers for patients with persistent AF before ablation were 48% (n = 11/23) and 43% (n = 10/23), respectively. CONCLUSION On-demand, app-based simultaneous rhythm and symptom assessment provides objective proxies of time spent with AF and/or symptoms and SRC, which may assist in assessing AF and symptom outcomes after AF ablation.
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Affiliation(s)
- Emma Sandgren
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
- Department of Clinical Sciences, Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden
| | - Astrid N L Hermans
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Monika Gawalko
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
- Institute of Pharmacology, West German Heart and Vascular Center, University Duisburg-Essen, Essen, Germany
- 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Konstanze Betz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Afzal Sohaib
- Barts Heart Center, St Bartholomew’s Hospital, London, UK
- Department of Cardiology, King George Hospital, Ilford, UK
| | - Chi Ho Fung
- Department of Cardiology, King George Hospital, Ilford, UK
| | - Henrike A K Hillmann
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Dominique Verhaert
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands
| | - Daniel Scherr
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Arian Sultan
- Department of Electrophysiology, University of Cologne, Heart Center, Cologne, Germany
| | - Daniel Steven
- Department of Electrophysiology, University of Cologne, Heart Center, Cologne, Germany
| | - Ron Pisters
- Department of Cardiology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Martin Hemels
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands
- Department of Cardiology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Piotr Lodziński
- 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Sevasti-Maria Chaldoupi
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Dhiraj Gupta
- Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Henri Gruwez
- Department of Cardiology, Hospital East-Limburg, Genk, Belgium
- Department of Cardiovascular Sciences, University Hospitals Leuven, Leuven, Belgium
| | - Nikki A H A Pluymaekers
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Jeroen M Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
- Center for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, 1 Port Road, SA 5000 Adelaide, Australia
| | - Malene Nørregaard
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Martin Manninger
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands
- Center for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, 1 Port Road, SA 5000 Adelaide, Australia
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
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Caiani EG, Kemps H, Hoogendoorn P, Asteggiano R, Böhm A, Borregaard B, Boriani G, Brunner La Rocca HP, Casado-Arroyo R, Castelletti S, Christodorescu RM, Cowie MR, Dendale P, Dunn F, Fraser AG, Lane DA, Locati ET, Małaczyńska-Rajpold K, Merșa CO, Neubeck L, Parati G, Plummer C, Rosano G, Scherrenberg M, Smirthwaite A, Szymanski P. Standardized assessment of evidence supporting the adoption of mobile health solutions: A Clinical Consensus Statement of the ESC Regulatory Affairs Committee: Developed in collaboration with the European Heart Rhythm Association (EHRA), the Association of Cardiovascular Nursing & Allied Professions (ACNAP) of the ESC, the Heart Failure Association (HFA) of the ESC, the ESC Young Community, the ESC Working Group on e-Cardiology, the ESC Council for Cardiology Practice, the ESC Council of Cardio-Oncology, the ESC Council on Hypertension, the ESC Patient Forum, the ESC Digital Health Committee, and the European Association of Preventive Cardiology (EAPC). EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2024; 5:509-523. [PMID: 39318699 PMCID: PMC11417493 DOI: 10.1093/ehjdh/ztae042] [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: 01/26/2024] [Revised: 05/10/2024] [Accepted: 05/14/2024] [Indexed: 09/26/2024]
Abstract
Mobile health (mHealth) solutions have the potential to improve self-management and clinical care. For successful integration into routine clinical practice, healthcare professionals (HCPs) need accepted criteria helping the mHealth solutions' selection, while patients require transparency to trust their use. Information about their evidence, safety and security may be hard to obtain and consensus is lacking on the level of required evidence. The new Medical Device Regulation is more stringent than its predecessor, yet its scope does not span all intended uses and several difficulties remain. The European Society of Cardiology Regulatory Affairs Committee set up a Task Force to explore existing assessment frameworks and clinical and cost-effectiveness evidence. This knowledge was used to propose criteria with which HCPs could evaluate mHealth solutions spanning diagnostic support, therapeutics, remote follow-up and education, specifically for cardiac rhythm management, heart failure and preventive cardiology. While curated national libraries of health apps may be helpful, their requirements and rigour in initial and follow-up assessments may vary significantly. The recently developed CEN-ISO/TS 82304-2 health app quality assessment framework has the potential to address this issue and to become a widely used and efficient tool to help drive decision-making internationally. The Task Force would like to stress the importance of co-development of solutions with relevant stakeholders, and maintenance of health information in apps to ensure these remain evidence-based and consistent with best practice. Several general and domain-specific criteria are advised to assist HCPs in their assessment of clinical evidence to provide informed advice to patients about mHealth utilization.
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Affiliation(s)
- Enrico G Caiani
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, P.zza L. da Vinci 32, 20133 Milan, Italy
- IRCCS Istituto Auxiologico Italiano, San Luca Hospital, Piazzale Brescia 20, 20149 Milan, Italy
| | - Hareld Kemps
- Department of Cardiology, Maxima Medical Centre, Veldhoven, The Netherlands
- Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Petra Hoogendoorn
- National eHealth Living Lab, Leiden University Medical Center, Leiden, The Netherlands
| | - Riccardo Asteggiano
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
- Poliambulatori Gruppo LARC—Laboratorio Analisi e Ricerca Clinica, Cardiology, Turin, Italy
| | - Allan Böhm
- Premedix Academy NGO, Bratislava, Slovakia
- 3rd Department of Internal Medicine, Comenius University in Bratislava, Bratislava, Slovakia
| | - Britt Borregaard
- Department of Cardiology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Cardiac, Thoracic and Vascular Surgery, Odense University Hospital, Odense, Denmark
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Hans-Peter Brunner La Rocca
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Cardiovascular Research Institute, University of Maastricht, Maastricht, The Netherlands
| | - Ruben Casado-Arroyo
- Department of Cardiology, Hopital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Silvia Castelletti
- IRCCS Istituto Auxiologico Italiano, San Luca Hospital, Piazzale Brescia 20, 20149 Milan, Italy
| | - Ruxandra Maria Christodorescu
- Department V-Internal Medicine, University of Medicine and Pharmacy V.Babes Timisoara, Timisoara, Romania
- Research Center, Institute of Cardiovascular Diseases, Timisoara, Romania
| | - Martin R Cowie
- Late CVRM, Biopharmaceuticals R&D, Astrazeneca, Boston MA, USA
| | - Paul Dendale
- Department of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department of Cardiology, Hartcentrum Hasselt, Hasselt, Belgium
| | - Fiona Dunn
- Active Medical Devices, BSI, Milton Keynes, UK
- TEAM-NB, The European Association Medical devices of Notified Bodies, Sprimont, Belgium
| | - Alan G Fraser
- School of Medicine, Cardiff University, Heath Park, Cardiff, UK
| | - Deirdre A Lane
- Department of Cardiovascular Medicine and Liverpool Centre for Cardiovascular Sciences, University of Liverpool, Liverpool, UK
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Emanuela T Locati
- Department of Arrhythmology & Electrophysiology, IRCCS Policlinico San Donato, San Donato Milanese, Milano, Italy
| | - Katarzyna Małaczyńska-Rajpold
- Department of Cardiology, Lister Hospital, East and North Hertfordshire NHS Trust, London, UK
- Heart Division, Arrhythmia Section, Royal Brompton Hospital, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Caius O Merșa
- Rhea, Research Center for Heritage and Anthropology, West University of Timișoara, Timișoara, Romania
| | - Lis Neubeck
- Centre for Cardiovascular Health, Edinburgh Napier University, Edinburgh, UK
| | - Gianfranco Parati
- IRCCS Istituto Auxiologico Italiano, San Luca Hospital, Piazzale Brescia 20, 20149 Milan, Italy
- Department of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy
| | - Chris Plummer
- Department of Cardiology, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Giuseppe Rosano
- CAG Cardiovascular, St George’s University Hospital, London, UK
- Cardiology, San Raffaele Cassino Hospital, Cassino, Italy
| | - Martijn Scherrenberg
- Department of Cardiology, Hartcentrum Hasselt, Hasselt, Belgium
- Faculty of Medicine, University of Antwerp, Antwerp, Belgium
| | | | - Piotr Szymanski
- Center for Postgraduate Medical Education, Marymoncka, Warsaw, Poland
- Clinical Cardiology Center, National Institute of Medicine MSWiA, Wołoska, Warsaw, Poland
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Ferguson C, Shaikh F, Allida SM, Hendriks J, Gallagher C, Bajorek BV, Donkor A, Inglis SC. Clinical service organisation for adults with atrial fibrillation. Cochrane Database Syst Rev 2024; 7:CD013408. [PMID: 39072702 PMCID: PMC11285297 DOI: 10.1002/14651858.cd013408.pub2] [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] [Indexed: 07/30/2024]
Abstract
BACKGROUND Atrial fibrillation (AF) is an increasingly prevalent heart rhythm condition in adults. It is considered a common cardiovascular condition with complex clinical management. The increasing prevalence and complexity in management underpin the need to adapt and innovate in the delivery of care for people living with AF. There is a need to systematically examine the optimal way in which clinical services are organised to deliver evidence-based care for people with AF. Recommended approaches include collaborative, organised multidisciplinary, and virtual (or eHealth/mHealth) models of care. OBJECTIVES To assess the effects of clinical service organisation for AF versus usual care for people with all types of AF. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and CINAHL to October 2022. We also searched ClinicalTrials.gov and the WHO ICTRP to April 2023. We applied no restrictions on date, publication status, or language. SELECTION CRITERIA We included randomised controlled trials (RCTs), published as full texts and as abstract only, involving adults (≥ 18 years) with a diagnosis of any type of AF. We included RCTs comparing organised clinical service, disease-specific management interventions (including e-health models of care) for people with AF that were multicomponent and multidisciplinary in nature to usual care. DATA COLLECTION AND ANALYSIS Three review authors independently selected studies, assessed risk of bias, and extracted data from the included studies. We calculated risk ratio (RR) for dichotomous data and mean difference (MD) or standardised mean difference (SMD) for continuous data with 95% confidence intervals (CIs) using random-effects analyses. We then calculated the number needed to treat for an additional beneficial outcome (NNTB) using the RR. We performed sensitivity analyses by only including studies with a low risk of selection and attrition bias. We assessed heterogeneity using the I² statistic and the certainty of the evidence according to GRADE. The primary outcomes were all-cause mortality and all-cause hospitalisation. The secondary outcomes were cardiovascular mortality, cardiovascular hospitalisation, AF-related emergency department visits, thromboembolic complications, minor cerebrovascular bleeding events, major cerebrovascular bleeding events, all bleeding events, AF-related quality of life, AF symptom burden, cost of intervention, and length of hospital stay. MAIN RESULTS We included 8 studies (8205 participants) of collaborative, multidisciplinary care, or virtual care for people with AF. The average age of participants ranged from 60 to 73 years. The studies were conducted in China, the Netherlands, and Australia. The included studies involved either a nurse-led multidisciplinary approach (n = 4) or management using mHealth (n = 2) compared to usual care. Only six out of the eight included studies could be included in the meta-analysis (for all-cause mortality and all-cause hospitalisation, cardiovascular mortality, cardiovascular hospitalisation, thromboembolic complications, and major bleeding), as quality of life was not assessed using a validated outcome measure specific for AF. We assessed the overall risk of bias as high, as all studies had at least one domain at unclear or high risk of bias rating for performance bias (blinding) in particular. Organised AF clinical services probably result in a large reduction in all-cause mortality (RR 0.64, 95% CI 0.46 to 0.89; 5 studies, 4664 participants; moderate certainty evidence; 6-year NNTB 37) compared to usual care. However, organised AF clinical services probably make little to no difference to all-cause hospitalisation (RR 0.94, 95% CI 0.88 to 1.02; 2 studies, 1340 participants; moderate certainty evidence; 2-year NNTB 101) and may not reduce cardiovascular mortality (RR 0.64, 95% CI 0.35 to 1.19; 5 studies, 4564 participants; low certainty evidence; 6-year NNTB 86) compared to usual care. Organised AF clinical services reduce cardiovascular hospitalisation (RR 0.83, 95% CI 0.71 to 0.96; 3 studies, 3641 participants; high certainty evidence; 6-year NNTB 28) compared to usual care. Organised AF clinical services may have little to no effect on thromboembolic complications such as stroke (RR 1.14, 95% CI 0.74 to 1.77; 5 studies, 4653 participants; low certainty evidence; 6-year NNTB 588) and major cerebrovascular bleeding events (RR 1.25, 95% CI 0.79 to 1.97; 3 studies, 2964 participants; low certainty evidence; 6-year NNTB 556). None of the studies reported minor cerebrovascular events. AUTHORS' CONCLUSIONS Moderate certainty evidence shows that organisation of clinical services for AF likely results in a large reduction in all-cause mortality, but probably makes little to no difference to all-cause hospitalisation compared to usual care. Organised AF clinical services may not reduce cardiovascular mortality, but do reduce cardiovascular hospitalisation compared to usual care. However, organised AF clinical services may make little to no difference to thromboembolic complications and major cerebrovascular events. None of the studies reported minor cerebrovascular events. Due to the limited number of studies, more research is required to compare different models of care organisation, including utilisation of mHealth. Appropriately powered trials are needed to confirm these findings and robustly examine the effect on inconclusive outcomes. The findings of this review underscore the importance of the co-ordination of care underpinned by collaborative multidisciplinary approaches and augmented by virtual care.
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Affiliation(s)
- Caleb Ferguson
- Centre for Chronic & Complex Care Research, Western Sydney Local Health District, Sydney, Australia
- School of Nursing, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, Australia
| | - Fahad Shaikh
- Centre for Chronic & Complex Care Research, Western Sydney Local Health District, Sydney, Australia
- School of Nursing, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, Australia
| | - Sabine M Allida
- Centre for Chronic & Complex Care Research, Western Sydney Local Health District, Sydney, Australia
- School of Nursing, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, Australia
| | - Jeroen Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
- Centre for Heart Rhythm Disorders, University of Adelaide, South Australian Health and Medical Research Institute and Royal Adelaide Hospital, Adelaide, Australia
| | - Celine Gallagher
- Centre for Heart Rhythm Disorders, University of Adelaide, South Australian Health and Medical Research Institute and Royal Adelaide Hospital, Adelaide, Australia
| | - Beata V Bajorek
- Heart and Brain Program, Hunter Medical Research Institute, Newcastle, Australia
- College of Health, Medicine, and Wellbeing, University of Newcastle, Newcastle, Australia
- Department of Pharmacy, Hunter New England Local Health District, Newcastle, Australia
| | - Andrew Donkor
- IMPACCT, Faculty of Health, University of Technology Sydney, Sydney, Australia
| | - Sally C Inglis
- IMPACCT, Faculty of Health, University of Technology Sydney, Sydney, Australia
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Calvert P, Mills MT, Howarth K, Aykara S, Lunt L, Brewer H, Green D, Green J, Moore S, Almutawa J, Linz D, Lip GYH, Todd D, Gupta D. Remote rhythm monitoring using a photoplethysmography smartphone application after cardioversion for atrial fibrillation. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2024; 5:461-468. [PMID: 39081939 PMCID: PMC11284012 DOI: 10.1093/ehjdh/ztae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/16/2024] [Accepted: 03/12/2024] [Indexed: 08/02/2024]
Abstract
Aims Direct current cardioversion (DCCV) is a commonly utilized rhythm control technique for atrial fibrillation. Follow-up typically comprises a hospital visit for 12-lead electrocardiogram (ECG) two weeks post-DCCV. We report the feasibility, costs, and environmental benefit of remote photoplethysmography (PPG) monitoring as an alternative. Methods and results We retrospectively analysed DCCV cases at our centre from May 2020 to October 2022. Patients were stratified into those with remote PPG follow-up and those with traditional 12-lead ECG follow-up. Monitoring type was decided by the specialist nurse performing the DCCV at the time of the procedure after discussing with the patient and offering them both options if appropriate. Outcomes included the proportion of patients who underwent PPG monitoring, patient compliance and experience, and cost, travel, and environmental impact. Four hundred sixteen patients underwent 461 acutely successful DCCV procedures. Two hundred forty-six underwent PPG follow-up whilst 214 underwent ECG follow-up. Patient compliance was high (PPG 89.4% vs. ECG 89.8%; P > 0.999) and the majority of PPG users (90%) found the app easy to use. Sinus rhythm was maintained in 71.1% (PPG) and 64.7% (ECG) of patients (P = 0.161). Twenty-nine (11.8%) PPG patients subsequently required an ECG either due to non-compliance, technical failure, or inconclusive PPG readings. Despite this, mean healthcare costs (£47.91 vs. £135 per patient; P < 0.001) and median cost to the patient (£0 vs. £5.97; P < 0.001) were lower with PPG. Median travel time per patient (0 vs. 44 min; P < 0.001) and CO2 emissions (0 vs. 3.59 kg; P < 0.001) were also lower with PPG. No safety issues were identified. Conclusion Remote PPG monitoring is a viable method of assessing for arrhythmia recurrence post-DCCV. This approach may save patients significant travel time, reduce environmental CO2 emission, and be cost saving in a publicly-funded healthcare system.
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Affiliation(s)
- Peter Calvert
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Thomas Drive, Liverpool L14 3PE, UK
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - Mark T Mills
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Thomas Drive, Liverpool L14 3PE, UK
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - Kelly Howarth
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - Sini Aykara
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - Lindsay Lunt
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - Helen Brewer
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - David Green
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - Janet Green
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - Simon Moore
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - Jude Almutawa
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Thomas Drive, Liverpool L14 3PE, UK
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
- Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Derick Todd
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
| | - Dhiraj Gupta
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Thomas Drive, Liverpool L14 3PE, UK
- Department of Cardiology, Liverpool Heart & Chest Hospital NHS Foundation Trust, Thomas Drive, Liverpool L14 3PE, UK
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Emrani M, Zink MD. [Digital competence in rhythmology : Training and education]. Herzschrittmacherther Elektrophysiol 2024; 35:124-131. [PMID: 38238487 DOI: 10.1007/s00399-024-00990-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 01/04/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND The digital transformation in medicine, particularly in technology-orientated areas such as rhythmology, is leading to a rapid change in diagnostic and therapeutic options. Digital skills are helpful and need to keep up with this pace of change. RESEARCH QUESTION Which digital technologies and resources with rhythmological relevance play a role today and in the future? METHODS Review of the various digital technologies for rhythm detection and monitoring, as well as current digital resources for training and education. RESULTS Rhythm detection and monitoring can be optimized with smart devices and telemedicine, while digital platforms such as social media and virtual reality offer new perspectives in the training of rhythmology specialists. CONCLUSION Acquiring digital skills will be the basis for future work in rhythmology.
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Affiliation(s)
- Mahdi Emrani
- Klinik für Innere Medizin I, - Kardiologie, Angiologie und internistische Intensivmedizin, Universitätsklinikum RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland.
| | - Matthias Daniel Zink
- Klinik für Innere Medizin I, - Kardiologie, Angiologie und internistische Intensivmedizin, Universitätsklinikum RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland.
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Gawałko M, Betz K, Hendriks V, Hermans ANL, van der Velden RMJ, Manninger M, Chaldoupi SM, Hoogervorst H, Martens H, Pluymaekers NAHA, Spreeuwenberg MD, Hendriks J, Linz D. Changes in healthcare utilisation during implementation of remote atrial fibrillation management: TeleCheck-AF project. Neth Heart J 2024; 32:130-139. [PMID: 38214880 PMCID: PMC10884376 DOI: 10.1007/s12471-023-01836-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/31/2023] [Indexed: 01/13/2024] Open
Abstract
AIM To evaluate changes in healthcare utilisation and comprehensive packages of care activities and procedures (referred in the Netherlands to as 'diagnose-behandelcombinatie (DBC) care products) during the implementation of the TeleCheck-AF approach (teleconsultation supported by app-based heart rate/rhythm monitoring) in a Dutch atrial fibrillation (AF) clinic. METHODS AND RESULTS In the Maastricht University Medical Centre+ AF Clinic, data on healthcare utilisation and DBC care products for patients consulted by both a conventional approach in 2019 and the TeleCheck-AF approach in 2020 were analysed. A patient experience survey was performed. Thirty-seven patients (median age 68 years; 40% women) were analysed. With the conventional approach, 35 face-to-face consultations and 0 teleconsultations were conducted. After the implementation of TeleCheck-AF, the number of face-to-face consultations dropped by 80% (p < 0.001) and teleconsultations increased to 45 (p < 0.001). While 42 electrocardiograms (ECGs) and 25 Holter ECGs or echocardiograms were recorded when using the conventional approach, the number of ECGs decreased by 71% (p < 0.001) and Holter ECGs or echocardiograms by 72% (p < 0.001) with the TeleCheck-AF approach. The emergency department patient presentations showed no statistically significant change (p = 0.33). Overall, 57% of medium-weight DBC care products were changed to light-weight ones during implementation of the TeleCheck-AF approach. Patient satisfaction with the TeleCheck-AF approach was high. CONCLUSION The implementation of TeleCheck-AF led to a change in healthcare utilisation, a change from medium-weight to light-weight DBC care products and a reduction in patient burden. These results created the basis for a new reimbursement code for the TeleCheck-AF approach in the Netherlands.
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Affiliation(s)
- Monika Gawałko
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
- 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
- Institute of Pharmacology, West German Heart and Vascular Centre, University of Duisburg-Essen, Essen, Germany
| | - Konstanze Betz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
- Department of Internal Medicine and Cardiology, Eifelklinik St. Brigida GmbH & Co. KG, Simmerath, Germany
| | - Veerle Hendriks
- Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Astrid N L Hermans
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Martin Manninger
- Department of Cardiology, Clinic of Medicine, Medical University of Graz, Graz, Austria
| | - Sevasti-Maria Chaldoupi
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Henk Hoogervorst
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Herm Martens
- Health Care Innovation and Experience Lab-Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Nikki A H A Pluymaekers
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Marieke D Spreeuwenberg
- Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Jeroen Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands.
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands.
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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7
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Svennberg E, Caiani EG, Bruining N, Desteghe L, Han JK, Narayan SM, Rademakers FE, Sanders P, Duncker D. The digital journey: 25 years of digital development in electrophysiology from an Europace perspective. Europace 2023; 25:euad176. [PMID: 37622574 PMCID: PMC10450797 DOI: 10.1093/europace/euad176] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 06/03/2023] [Indexed: 08/26/2023] Open
Abstract
AIMS Over the past 25 years there has been a substantial development in the field of digital electrophysiology (EP) and in parallel a substantial increase in publications on digital cardiology.In this celebratory paper, we provide an overview of the digital field by highlighting publications from the field focusing on the EP Europace journal. RESULTS In this journey across the past quarter of a century we follow the development of digital tools commonly used in the clinic spanning from the initiation of digital clinics through the early days of telemonitoring, to wearables, mobile applications, and the use of fully virtual clinics. We then provide a chronicle of the field of artificial intelligence, a regulatory perspective, and at the end of our journey provide a future outlook for digital EP. CONCLUSION Over the past 25 years Europace has published a substantial number of papers on digital EP, with a marked expansion in digital publications in recent years.
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Affiliation(s)
- Emma Svennberg
- Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, SE-141 86 Stockholm, Sweden
| | - Enrico G Caiani
- Politecnico di Milano, Electronic, Information and Biomedical Engineering Department, Milan, Italy
- Istituto Auxologico Italiano IRCCS, Milan, Italy
| | - Nico Bruining
- Department of Clinical and Experimental Information processing (Digital Cardiology), Erasmus Medical Center, Thoraxcenter, Rotterdam, The Netherlands
| | - Lien Desteghe
- Research Group Cardiovascular Diseases, University of Antwerp, 2000 Antwerp, Belgium
- Department of Cardiology, Antwerp University Hospital, 2056 Edegem, Belgium
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium
- Department of Cardiology, Heart Centre Hasselt, Jessa Hospital, 3500 Hasselt, Belgium
| | - Janet K Han
- Division of Cardiology, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA
- Cardiac Arrhythmia Center, University of California Los Angeles, Los Angeles, CA, USA
| | - Sanjiv M Narayan
- Cardiology Division, Cardiovascular Institute and Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA
| | | | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, 5005 Adelaide, Australia
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
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8
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Varma N, Braunschweig F, Burri H, Hindricks G, Linz D, Michowitz Y, Ricci RP, Nielsen JC. Remote monitoring of cardiac implantable electronic devices and disease management. Europace 2023; 25:euad233. [PMID: 37622591 PMCID: PMC10451003 DOI: 10.1093/europace/euad233] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 06/12/2023] [Indexed: 08/26/2023] Open
Abstract
This reviews the transition of remote monitoring of patients with cardiac electronic implantable devices from curiosity to standard of care. This has been delivered by technology evolution from patient-activated remote interrogations at appointed intervals to continuous monitoring that automatically flags clinically actionable information to the clinic for review. This model has facilitated follow-up and received professional society recommendations. Additionally, continuous monitoring has provided a new level of granularity of diagnostic data enabling extension of patient management from device to disease management. This ushers in an era of digital medicine with wider applications in cardiovascular medicine.
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Affiliation(s)
- Niraj Varma
- Cardiac Pacing and Electrophysiology, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44118, USA
| | | | - Haran Burri
- University Hospital of Geneva, 1205 Geneva, Switzerland
| | | | - Dominik Linz
- Maastricht University Medical Center, 6211 LK Maastricht, The Netherlands
| | - Yoav Michowitz
- Department of Cardiology, Faculty of Medicine, Shaare Zedek Medical Center, Hebrew University, Jerusalem 9112001, Israel
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9
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van der Velden RMJ, Hereijgers MJM, Arman N, van Middendorp N, Franssen FME, Gawalko M, Verhaert DVM, Habibi Z, Vernooy K, Koltowski L, Hendriks JM, Heidbuchel H, Desteghe L, Simons SO, Linz D. Implementation of a screening and management pathway for chronic obstructive pulmonary disease in patients with atrial fibrillation. Europace 2023; 25:euad193. [PMID: 37421318 PMCID: PMC10351574 DOI: 10.1093/europace/euad193] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/02/2023] [Accepted: 05/30/2023] [Indexed: 07/10/2023] Open
Abstract
AIMS Chronic obstructive pulmonary disease (COPD) negatively impacts the efficacy of heart rhythm control treatments in patients with atrial fibrillation (AF). Although COPD is recognized as a risk factor for AF, practical guidance about how and when to screen for COPD is not available. Herein, we describe the implementation of an integrated screening and management pathway for COPD into the existing pre-ablation work-up in an AF outpatient clinic infrastructure. METHODS AND RESULTS Consecutive unselected patients accepted for AF catheter ablation in the Maastricht University Medical Center+ were prospectively screened for airflow limitation using handheld (micro)spirometry at the pre-ablation outpatient clinic supervised by an AF nurse. Patients with results suggestive of airflow limitation were offered referral to the pulmonologist. Handheld (micro)spirometry was performed in 232 AF patients, which provided interpretable results in 206 (88.8%) patients. Airflow limitation was observed in 47 patients (20.3%). Out of these 47 patients, 29 (62%) opted for referral to the pulmonologist. The primary reason for non-referral was low perceived symptom burden. Using this screening strategy 17 (out of 232; 7.3%) ultimately received a diagnosis of chronic respiratory disease, either COPD or asthma. CONCLUSION A COPD care pathway can successfully be embedded in an existing AF outpatient clinic infrastructure, using (micro)spirometry and remote analysis of results. Although one out of five patients had results suggestive of an underlying chronic respiratory disease, only 62% of these patients opted for a referral. Pre-selection of patients as well as patient education might increase the diagnostic yield and requires further research.
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Affiliation(s)
- Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
| | - Maartje J M Hereijgers
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
| | - Nazia Arman
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
| | - Naomi van Middendorp
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
| | - Frits M E Franssen
- Department of Research and Development, Ciro, 6085 NM Horn, the Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 MD Maastricht, the Netherlands
- Department of Respiratory Medicine, Maastricht University Medical Centre, 6229 HX Maastricht, the Netherlands
| | - Monika Gawalko
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
- 1st Department of Cardiology, Medical University of Warsaw, 02-091 Warsaw, Poland
| | - Dominique V M Verhaert
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
- Department of Cardiology, Radboud University Medical Centre, 6525 GA Nijmegen, the Netherlands
| | - Zarina Habibi
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
- Department of Cardiology, Radboud University Medical Centre, 6525 GA Nijmegen, the Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
- Department of Cardiology, Radboud University Medical Centre, 6525 GA Nijmegen, the Netherlands
| | - Lukasz Koltowski
- 1st Department of Cardiology, Medical University of Warsaw, 02-091 Warsaw, Poland
| | - Jeroen M Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, 5001 Adelaide, Australia
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, 5000 Adelaide, Australia
| | - Hein Heidbuchel
- Department of Cardiology, Antwerp University Hospital, 2650 Antwerp, Belgium
- Research Group Cardiovascular Diseases, University of Antwerp, 2650 Antwerp, Belgium
- Faculty of Medicine and Life Sciences, Hasselt University, 3590 Hasselt, Belgium
| | - Lien Desteghe
- Department of Cardiology, Antwerp University Hospital, 2650 Antwerp, Belgium
- Research Group Cardiovascular Diseases, University of Antwerp, 2650 Antwerp, Belgium
- Faculty of Medicine and Life Sciences, Hasselt University, 3590 Hasselt, Belgium
- Heart Center Hasselt, Jessa Hospital, 3500 Hasselt, Belgium
| | - Sami O Simons
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 MD Maastricht, the Netherlands
- Department of Respiratory Medicine, Maastricht University Medical Centre, 6229 HX Maastricht, the Netherlands
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
- Department of Cardiology, Radboud University Medical Centre, 6525 GA Nijmegen, the Netherlands
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, 5000 Adelaide, Australia
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
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10
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Manninger M, Hermans ANL, Caracioni AA, Rohrer U, Eberl AS, Vernooy K, Zirlik A, Linz D, Scherr D. Photoplethysmography-documented atrial fibrillation in the first week after catheter ablation is associated with lower success rates. Front Cardiovasc Med 2023; 10:1199630. [PMID: 37424905 PMCID: PMC10324576 DOI: 10.3389/fcvm.2023.1199630] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/09/2023] [Indexed: 07/11/2023] Open
Abstract
Aims To test the feasibility of postprocedural photoplethysmography (PPG) rhythm telemonitoring during the first week after atrial fibrillation (AF) ablation and its predictive value for later AF recurrence. Methods PPG rhythm telemonitoring during the first week after the ablation procedure was offered to a total of 382 consecutive patients undergoing AF ablation. Patients were instructed to perform 1 min PPG recordings by a mobile health application 3 times per day and in case of symptoms. Clinicians assessed the PPG tracings via a secured cloud and the information was remotely integrated into the therapeutic pathway via teleconsultation (TeleCheck-AF approach). Results 119 patients (31%) agreed to perform PPG rhythm telemonitoring after ablation. Patients included in the TeleCheck-AF approach were younger compared to those who declined participation (58 ± 10 vs. 62 ± 10 years, p < 0.001). Median follow up duration was 544 (53-883) days. 27% of patients had PPG tracings suggestive of AF in the week following the ablation. In 24% of patients, the integration of PPG rhythm telemonitoring resulted in a remote clinical intervention during teleconsultation. During follow-up of one year, 33% of patients had ECG-documented AF recurrences. PPG recordings suggestive of AF in the week after ablation were predictive of late recurrences (p < 0.001). Conclusion PPG rhythm telemonitoring during the first week after AF ablation often triggered clinical interventions. Due to its high availability, PPG-based follow-up actively involving patients after AF ablation may close a diagnostic and prognostic gap in the blanking period and increase active patient-involvement.
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Affiliation(s)
- Martin Manninger
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, Netherlands
| | - Astrid N. L. Hermans
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, Netherlands
| | - Andrei-Antonio Caracioni
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Ursula Rohrer
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Anna-Sophie Eberl
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Kevin Vernooy
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, Netherlands
| | - Andreas Zirlik
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Dominik Linz
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, Netherlands
| | - Daniel Scherr
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, Netherlands
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11
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Delesie M, Knaepen L, Dendale P, Vijgen J, Ector J, Desteghe L, Heidbuchel H. Baseline demographics of a contemporary Belgian atrial fibrillation cohort included in a large randomised clinical trial on targeted education and integrated care (AF-EduCare/AF-EduApp study). Front Cardiovasc Med 2023; 10:1186453. [PMID: 37332586 PMCID: PMC10272799 DOI: 10.3389/fcvm.2023.1186453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/09/2023] [Indexed: 06/20/2023] Open
Abstract
Background As the prevalence of atrial fibrillation (AF) increases worldwide and AF management becomes ever more diversified and personalised, insights into (regional) AF patient demographics and contemporary AF management are needed. This paper reports the current AF management and baseline demographics of a Belgian AF population recruited for a large multicenter integrated AF study (AF-EduCare/AF-EduApp study). Methods We analyzed data from 1,979 AF patients, assessed between 2018 and 2021 for the AF-EduCare/AF-EduApp study. The trial randomised consecutive patients with AF (irrespective of AF history duration) into three educational intervention groups (in person-, online-, and application-based), compared with standard care. Baseline demographics of both the included and excluded/refused patients are reported. Results The mean age of the trial population was 71.2 ± 9.1 years, with a mean CHA2DS2-VASc score of 3.4 ± 1.8. Of all screened patients, 42.4% were asymptomatic at presentation. Being overweight was the most common comorbidty, present in 68.9%, while 65.0% were diagnosed with hypertension. Anticoagulation therapy was prescribed in 90.9% of the total population and in 94.0% of the patients with an indication for thromboembolic prophylaxis. Of the 1,979 assessed AF patients, 1,232 (62.3%) were enrolled in the AF-EduCare/AF-EduApp study, with transportation problems (33.4%) as the main reason for refusal/non-inclusion. About half of the included patients were recruited at the cardiology ward (53.8%). AF was first diagnosed, paroxysmal, persistent and permanent in 13.9%, 47.4%, 22.8% and 11.3%, respectively. Patients who refused or were excluded were older (73.3 ± 9.2 vs. 69.8 ± 8.9 years, p < 0.001) and had more comorbidities (CHA2DS2-VASc 3.8 ± 1.8 vs. 3.1 ± 1.7, p < 0.001). The four AF-EduCare/AF-EduApp study groups were comparable across the vast majority of parameters. Conclusions The population showed high use of anticoagulation therapy, in line with current guidelines. In contrast to other AF trials about integrated care, the AF-EduCare/AF-EduApp study managed to incorporate all types of AF patients, both out-patient and hospitalised, with very comparable patient demographics across all subgroups. The trial will analyze whether different approaches to patient education and integrated AF care have an impact on clinical outcomes. Clinical Trial Registration https://clinicaltrials.gov/ct2/show/NCT03707873?term=af-educare&draw=2&rank=1, identifier: NCT03707873; https://clinicaltrials.gov/ct2/show/NCT03788044?term=af-eduapp&draw=2&rank=1, identifier: NCT03788044.
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Affiliation(s)
- Michiel Delesie
- Research Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium
- Department of Cardiology, Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
| | - Lieselotte Knaepen
- Research Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium
- Department of Cardiology, Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department of Cardiology, Antwerp University Hospital, Edegem, Belgium
| | - Paul Dendale
- Department of Cardiology, Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
| | - Johan Vijgen
- Department of Cardiology, Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
| | - Joris Ector
- Department of Cardiology, University Hospital Gasthuisberg, Leuven, Belgium
| | - Lien Desteghe
- Research Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium
- Department of Cardiology, Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department of Cardiology, Antwerp University Hospital, Edegem, Belgium
| | - Hein Heidbuchel
- Research Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department of Cardiology, Antwerp University Hospital, Edegem, Belgium
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12
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Brunetti ND, Curcio A, Nodari S, Parati G, Carugo S, Molinari M, Acquistapace F, Gensini G, Molinari G. The Italian Society of Cardiology and Working Group on Telecardiology and Informatics 2023 updated position paper on telemedicine and artificial intelligence in cardiovascular disease. J Cardiovasc Med (Hagerstown) 2023; 24:e168-e177. [PMID: 37186567 DOI: 10.2459/jcm.0000000000001447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
In 2015, the Italian Society of Cardiology and its Working Group on Telemedicine and Informatics issued a position paper on Telecardiology, resuming the most eminent evidence supporting the use of information and communication technology in principal areas of cardiovascular care, ranked by level of evidence. More than 5 years later and after the global shock inflicted by the SARS-CoV-2 pandemic, an update on the topic is warranted. Recent evidence and studies on principal areas of cardiovascular disease will be therefore reported and discussed, with particular focus on telemedicine for cardiovascular care in the COVID-19 context. Novel perspectives and opportunities disclosed by artificial intelligence and its applications in cardiovascular disease will also be discussed. Finally, modalities by which machine learning have realized remote patient monitoring and long-term care in recent years, mainly filtering critical clinical data requiring selective hospital admission, will be provided.
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Affiliation(s)
- Natale D Brunetti
- Division of Cardiology, Department of Medical & Surgical Sciences, University of Foggia, Foggia
| | - Antonio Curcio
- Division of Cardiology, Department of Medical and Surgical Sciences, University 'Magna Graecia' of Catanzaro, Catanzaro
| | - Savina Nodari
- Dept. of Medical and Surgical Specialities, Radiological Sciences and Public Health-University of Brescia Medical School
- University of Brescia Medical School, Brescia
| | | | - Stefano Carugo
- Department of Clinical Sciences and Community Health
- Cardiology Unit, Dept. of Internal Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore, University of Milan, Milan
| | - Martina Molinari
- Department of Cardiology, Ospedale 'P.A. Micone', ASL 3 Genovese, Genoa, Italy
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13
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Savelieva I, Fumagalli S, Kenny RA, Anker S, Benetos A, Boriani G, Bunch J, Dagres N, Dubner S, Fauchier L, Ferrucci L, Israel C, Kamel H, Lane DA, Lip GYH, Marchionni N, Obel I, Okumura K, Olshansky B, Potpara T, Stiles MK, Tamargo J, Ungar A. EHRA expert consensus document on the management of arrhythmias in frailty syndrome, endorsed by the Heart Rhythm Society (HRS), Asia Pacific Heart Rhythm Society (APHRS), Latin America Heart Rhythm Society (LAHRS), and Cardiac Arrhythmia Society of Southern Africa (CASSA). Europace 2023; 25:1249-1276. [PMID: 37061780 PMCID: PMC10105859 DOI: 10.1093/europace/euac123] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 06/27/2022] [Indexed: 04/17/2023] Open
Abstract
There is an increasing proportion of the general population surviving to old age with significant chronic disease, multi-morbidity, and disability. The prevalence of pre-frail state and frailty syndrome increases exponentially with advancing age and is associated with greater morbidity, disability, hospitalization, institutionalization, mortality, and health care resource use. Frailty represents a global problem, making early identification, evaluation, and treatment to prevent the cascade of events leading from functional decline to disability and death, one of the challenges of geriatric and general medicine. Cardiac arrhythmias are common in advancing age, chronic illness, and frailty and include a broad spectrum of rhythm and conduction abnormalities. However, no systematic studies or recommendations on the management of arrhythmias are available specifically for the elderly and frail population, and the uptake of many effective antiarrhythmic therapies in these patients remains the slowest. This European Heart Rhythm Association (EHRA) consensus document focuses on the biology of frailty, common comorbidities, and methods of assessing frailty, in respect to a specific issue of arrhythmias and conduction disease, provide evidence base advice on the management of arrhythmias in patients with frailty syndrome, and identifies knowledge gaps and directions for future research.
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Affiliation(s)
- Irina Savelieva
- Cardiovascular Clinical Academic Group, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
| | - Stefano Fumagalli
- Department of Experimental and Clinical Medicine, Geriatric Intensive Care Unit and Geriatric Arrhythmia Unit, University of Florence and AOU Careggi, Florence, Italy
| | - Rose Anne Kenny
- Mercer’s Institute for Successful Ageing, Department of Medical Gerontology, St James’s Hospital, Dublin, Ireland
| | - Stefan Anker
- Department of Cardiology (CVK), Germany
- Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Germany
- German Centre for Cardiovascular Research (DZHK) partner site Berlin, Germany
- Charité Universitätsmedizin Berlin, Germany
| | - Athanase Benetos
- Department of Geriatric Medicine CHRU de Nancy and INSERM U1116, Université de Lorraine, Nancy, France
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Jared Bunch
- (HRS representative): Intermountain Medical Center, Cardiology Department, Salt Lake City,Utah, USA
- Stanford University, Department of Internal Medicine, Palo Alto, CA, USA
| | - Nikolaos Dagres
- Heart Center Leipzig, Department of Electrophysiology, Leipzig, Germany
| | - Sergio Dubner
- (LAHRS representative): Clinica Suizo Argentina, Cardiology Department, Buenos Aires Capital Federal, Argentina
| | - Laurent Fauchier
- Centre Hospitalier Universitaire Trousseau et Université François Rabelais, Tours, France
| | | | - Carsten Israel
- Evangelisches Krankenhaus Bielefeld GmbH, Bielefeld, Germany
| | - Hooman Kamel
- Department of Neurology, Weill Cornell Medical College, New York, NY, USA
| | - Deirdre A Lane
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, United Kingdom
- Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
- Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
- Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, United Kingdom
- Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
- Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
- Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Niccolò Marchionni
- Department of Experimental and Clinical Medicine, General Cardiology Division, University of Florence and AOU Careggi, Florence, Italy
| | - Israel Obel
- (CASSA representative): Milpark Hospital, Cardiology Unit, Johannesburg, South Africa
| | - Ken Okumura
- (APHRS representative): Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | - Brian Olshansky
- University of Iowa Hospitals and Clinics, Iowa CityIowa, USA
- Covenant Hospital, Waterloo, Iowa, USA
- Mercy Hospital Mason City, Iowa, USA
| | - Tatjana Potpara
- School of Medicine, Belgrade University, Serbia
- Cardiology Clinic, Clinical Center of Serbia, Serbia
| | - Martin K Stiles
- (APHRS representative): Waikato Clinical School, University of Auckland and Waikato Hospital, Hamilton, New Zealand
| | - Juan Tamargo
- Department of Pharmacology, School of Medicine, CIBERCV, Universidad Complutense, Madrid, Spain
| | - Andrea Ungar
- Department of Experimental and Clinical Medicine, Geriatric Intensive Care Unit and Geriatric Arrhythmia Unit, University of Florence and AOU Careggi, Florence, Italy
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14
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Leiner J, König S, Mouratis K, Kim I, Schmitz P, Joshi T, Schanner C, Wohlrab L, Hohenstein S, Pellissier V, Nitsche A, Kuhlen R, Hindricks G, Bollmann A. A Digital Infrastructure for Cardiovascular Patient Care Based on Mobile Health Data and Patient-Reported Outcomes: Concept Details of the Helios TeleWear Project Including Preliminary Experiences. JMIR Form Res 2023; 7:e41115. [PMID: 36867450 PMCID: PMC10029859 DOI: 10.2196/41115] [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: 07/18/2022] [Revised: 12/02/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Mobile health (mHealth) approaches are already having a fundamental impact on clinical practice in cardiovascular medicine. A variety of different health apps and wearable devices for capturing health data such as electrocardiograms (ECGs) exist. However, most mHealth technologies focus on distinct variables without integrating patients' quality of life, and the impact on clinical outcome measures of implementing those digital solutions into cardiovascular health care is still to be determined. OBJECTIVE Within this document, we describe the TeleWear project, which was recently initiated as an approach for contemporary patient management integrating mobile-collected health data and the standardized mHealth-guided measurement of patient-reported outcomes (PROs) in patients with cardiovascular disease. METHODS The specifically designed mobile app and clinical frontend form the central elements of our TeleWear infrastructure. Because of its flexible framework, the platform allows far-reaching customization with the possibility to add different mHealth data sources and respective questionnaires (patient-reported outcome measures). RESULTS With initial focus on patients with cardiac arrhythmias, a feasibility study is currently carried out to assess wearable-recorded ECG and PRO transmission and its evaluation by physicians using the TeleWear app and clinical frontend. First experiences made during the feasibility study yielded positive results and confirmed the platform's functionality and usability. CONCLUSIONS TeleWear represents a unique mHealth approach comprising PRO and mHealth data capturing. With the currently running TeleWear feasibility study, we aim to test and further develop the platform in a real-world setting. A randomized controlled trial including patients with atrial fibrillation that investigates PRO- and ECG-based clinical management based on the established TeleWear infrastructure will evaluate its clinical benefits. Widening the spectrum of health data collection and interpretation beyond the ECG and use of the TeleWear infrastructure in different patient subcohorts with focus on cardiovascular diseases are further milestones of the project with the ultimate goal to establish a comprehensive telemedical center entrenched by mHealth.
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Affiliation(s)
- Johannes Leiner
- Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, Leipzig, Germany
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Sebastian König
- Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, Leipzig, Germany
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Konstantinos Mouratis
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Igor Kim
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Pia Schmitz
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Tanvi Joshi
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Carolin Schanner
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Lisa Wohlrab
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Sven Hohenstein
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Vincent Pellissier
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Anne Nitsche
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Ralf Kuhlen
- Helios Health GmbH, Berlin, Germany
- Helios Health Institute, Berlin, Germany
| | - Gerhard Hindricks
- Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, Leipzig, Germany
| | - Andreas Bollmann
- Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, Leipzig, Germany
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
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15
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Protocol for a Systematic Review and Individual Participant Data Meta-Analysis of Randomized Trials of Screening for Atrial Fibrillation to Prevent Stroke. Thromb Haemost 2023; 123:366-376. [PMID: 36863334 PMCID: PMC9981276 DOI: 10.1055/s-0042-1760257] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 10/28/2022] [Indexed: 03/04/2023]
Abstract
INTRODUCTION Atrial fibrillation (AF) is a common cause of stroke. Timely diagnosis of AF and treatment with oral anticoagulation (OAC) can prevent up to two-thirds of AF-related strokes. Ambulatory electrocardiographic (ECG) monitoring can identify undiagnosed AF in at-risk individuals, but the impact of population-based ECG screening on stroke is uncertain, as ongoing and published randomized controlled trials (RCTs) have generally been underpowered for stroke. METHODS AND ANALYSIS The AF-SCREEN Collaboration, with support from AFFECT-EU, have begun a systematic review and individual participant data meta-analysis of RCTs evaluating ECG screening for AF. The primary outcome is stroke. Secondary outcomes include AF detection, OAC prescription, hospitalization, mortality, and bleeding.After developing a common data dictionary, anonymized data will be collated from individual trials into a central database. We will assess risk of bias using the Cochrane Collaboration tool, and overall quality of evidence with the Grading of Recommendations Assessment, Development and Evaluation approach.We will pool data using random effects models. Prespecified subgroup and multilevel meta-regression analyses will explore heterogeneity. We will perform prespecified trial sequential meta-analyses of published trials to determine when the optimal information size has been reached, and account for unpublished trials using the SAMURAI approach. IMPACT AND DISSEMINATION Individual participant data meta-analysis will generate adequate power to assess the risks and benefits of AF screening. Meta-regression will permit exploration of the specific patient, screening methodology, and health system factors that influence outcomes. TRIAL REGISTRATION NUMBER PROSPERO CRD42022310308.
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16
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Hereijgers MJM, van der Velden RMJ, Simons S, Linz D. Respiratory function assessment in patients with atrial fibrillation: A needed extension of combined comorbidity management? Can J Cardiol 2023; 39:623-624. [PMID: 36781104 DOI: 10.1016/j.cjca.2023.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 02/13/2023] Open
Affiliation(s)
- Maartje J M Hereijgers
- Department of Pulmonology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Sami Simons
- Department of Pulmonology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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17
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Kalarus Z, Mairesse GH, Sokal A, Boriani G, Średniawa B, Casado-Arroyo R, Wachter R, Frommeyer G, Traykov V, Dagres N, Lip GYH. Searching for atrial fibrillation: looking harder, looking longer, and in increasingly sophisticated ways. An EHRA position paper. Europace 2023; 25:185-198. [PMID: 36256580 PMCID: PMC10112840 DOI: 10.1093/europace/euac144] [Citation(s) in RCA: 37] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Zbigniew Kalarus
- Department of Cardiology, DMS in Zabrze, Medical University of Silesia, Katowice, Poland
- Department of Cardiology, Silesian Center for Heart Diseases, Zabrze, Poland
| | - Georges H Mairesse
- Department of Cardiology and Electrophysiology, Cliniques du Sud Luxembourg—Vivalia, Arlon, Belgium
| | - Adam Sokal
- Department of Cardiology, Silesian Center for Heart Diseases, Zabrze, Poland
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Beata Średniawa
- Department of Cardiology, DMS in Zabrze, Medical University of Silesia, Katowice, Poland
- Department of Cardiology, Silesian Center for Heart Diseases, Zabrze, Poland
| | | | - Rolf Wachter
- Clinic and Policlinic for Cardiology, University Hospital Leipzig, Leipzig, Germany
| | - Gerrit Frommeyer
- Department of Cardiology II (Electrophysiology), University Hospital Münster, Münster, Germany
| | - Vassil Traykov
- Department of Invasive Electrophysiology and Cardiac Pacing, Acibadem City Clinic Tokuda Hospital, Sofia, Bulgaria
| | - Nikolaos Dagres
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart and Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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18
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Hermans ANL, Isaksen JL, Gawalko M, Pluymaekers NAHA, van der Velden RMJ, Snippe H, Evens S, De Witte G, Luermans JGLM, Manninger M, Lumens J, Kanters JK, Linz D. Accuracy of continuous photoplethysmography-based 1 min mean heart rate assessment during atrial fibrillation. Europace 2023; 25:835-844. [PMID: 36748247 PMCID: PMC10062358 DOI: 10.1093/europace/euad011] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/11/2023] [Indexed: 02/08/2023] Open
Abstract
AIMS Although mobile health tools using photoplethysmography (PPG) technology have been validated for the detection of atrial fibrillation (AF), their utility for heart rate assessment during AF remains unclear. Therefore, we aimed to evaluate the accuracy of continuous PPG-based 1 min mean heart rate assessment during AF. METHODS AND RESULTS Persistent AF patients were provided with Holter electrocardiography (ECG) (for ≥24 h) simultaneously with a PPG-equipped smartwatch. Both the PPG-based smartwatch and Holter ECG automatically and continuously monitored patients' heart rate/rhythm. ECG and PPG recordings were synchronized and divided into 1 min segments, from which a PPG-based and an ECG-based average heart rate estimation were extracted. In total, 47 661 simultaneous ECG and PPG 1 min heart rate segments were analysed in 50 patients (34% women, age 73 ± 8 years). The agreement between ECG-determined and PPG-determined 1 min mean heart rate was high [root mean squared error (RMSE): 4.7 bpm]. The 1 min mean heart rate estimated using PPG was accurate within ±10% in 93.7% of the corresponding ECG-derived 1 min mean heart rate segments. PPG-based 1 min mean heart rate estimation was more often accurate during night-time (97%) than day-time (91%, P < 0.001) and during low levels (96%) compared to high levels of motion (92%, P < 0.001). A neural network with a 10 min history of the recording did not further improve the PPG-based 1 min mean heart rate assessment [RMSE: 4.4 (95% confidence interval: 3.5-5.2 bpm)]. Only chronic heart failure was associated with a lower agreement between ECG-derived and PPG-derived 1 min mean heart rates (P = 0.040). CONCLUSION During persistent AF, continuous PPG-based 1 min mean heart rate assessment is feasible in 60% of the analysed period and shows high accuracy compared with Holter ECG for heart rates <110 bpm.
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Affiliation(s)
- Astrid N L Hermans
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Jonas L Isaksen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Nørregade 10, 1165 Copenhagen, Denmark
| | - Monika Gawalko
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands.,Institute of Pharmacology, West German Heart and Vascular Centre, University Duisburg-Essen, Forsthausweg 2, 47057 Duisburg, Germany.,1st Department of Cardiology, Medical University of Warsaw, Żwirki i Wigury 61, 02-091 Warsaw, Poland
| | - Nikki A H A Pluymaekers
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Hilco Snippe
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Stijn Evens
- Qompium NV, Kempische Steenweg 293/16, 3500 Hasselt, Belgium
| | - Glenn De Witte
- Qompium NV, Kempische Steenweg 293/16, 3500 Hasselt, Belgium
| | - Justin G L M Luermans
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Martin Manninger
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Auenbruggerpl. 2, 8036 Graz, Austria
| | - Joost Lumens
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, The Netherlands
| | - Jørgen K Kanters
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Nørregade 10, 1165 Copenhagen, Denmark
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands.,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Nørregade 10, 1165 Copenhagen, Denmark.,Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Port Rd, Adelaide SA 5000, Australia
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19
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Rivera-Caravaca JM, Roldán V, Martínez-Montesinos L, Vicente V, Lip GYH, Marín F. The Atrial Fibrillation Better Care (ABC) Pathway and Clinical Outcomes in Patients with Atrial Fibrillation: the Prospective Murcia AF Project Phase II Cohort. J Gen Intern Med 2023; 38:315-323. [PMID: 35411538 PMCID: PMC9905403 DOI: 10.1007/s11606-022-07567-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 03/31/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND The Atrial fibrillation Better Care (ABC) pathway was proposed for a more holistic or integrated care approach to atrial fibrillation (AF) management. We investigated whether adherence with the ABC pathway reduced the risk of adverse clinical outcomes in real-world AF patients starting vitamin K antagonist (VKAs) therapy. METHODS Prospective cohort study including AF outpatients starting VKA therapy from July 2016 to June 2018. Patients were considered as adherent if all ABC pathway criteria (A: Avoid stroke; B: Better symptom control; and C: Cardiovascular risk factors/comorbidities management) were fulfilled. The primary endpoints were all-cause mortality, net clinical outcomes (NCOs), major adverse cardiovascular events (MACE), and composite thrombotic/thromboembolic events at 2 years. RESULTS We enrolled 1045 patients (51.6% female; median age 77 [70-83] years). Of these, 63.0% (658) were adherent to the ABC pathway and 37% (387) were considered non-adherent. Compared to non-adherent patients, those who were ABC adherent had lower event rates for all-cause mortality (13.76 vs. 6.56; p<0.001), NCOs (19.65 vs. 11.94; p<0.001), and MACE (11.88 vs. 7.75; p=0.006) during the follow-up. Adjusted Cox regression analyses demonstrated that the ABC pathway adherent care reduced the risks of all-cause mortality (aHR 0.57, 95% CI 0.42-0.78), NCOs (aHR 0.72, 95% CI 0.56-0.92), and cardiovascular mortality (aHR 0.54, 95% CI 0.32-0.90). Event-free survivals for all-cause mortality, NCOs (both log-rank p-values <0.001), and MACE (log-rank p-value = 0.004) were also higher in ABC pathway adherent patients. CONCLUSIONS In this real-world prospective cohort of AF patients starting VKA therapy, adherence to the ABC pathway management at baseline significantly reduced the risk of NCOs, all-cause mortality, and cardiovascular death at 2 years.
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Affiliation(s)
- José Miguel Rivera-Caravaca
- Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, University of Murcia, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), CIBERCV, Murcia, Spain
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Vanessa Roldán
- Department of Hematology and Clinical Oncology, Hospital General Universitario Morales Meseguer, University of Murcia, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Murcia, Spain.
| | - Lorena Martínez-Montesinos
- Department of Hematology and Clinical Oncology, Hospital General Universitario Morales Meseguer, University of Murcia, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Murcia, Spain
| | - Vicente Vicente
- Department of Hematology and Clinical Oncology, Hospital General Universitario Morales Meseguer, University of Murcia, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Murcia, Spain
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart and Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Aalborg Thrombosis Research Unit, Aalborg University, Aalborg, Denmark
| | - Francisco Marín
- Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, University of Murcia, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), CIBERCV, Murcia, Spain
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20
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Stauss M, Htay H, Kooman JP, Lindsay T, Woywodt A. Wearables in Nephrology: Fanciful Gadgetry or Prêt-à-Porter? SENSORS (BASEL, SWITZERLAND) 2023; 23:1361. [PMID: 36772401 PMCID: PMC9919296 DOI: 10.3390/s23031361] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/20/2023] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
Telemedicine and digitalised healthcare have recently seen exponential growth, led, in part, by increasing efforts to improve patient flexibility and autonomy, as well as drivers from financial austerity and concerns over climate change. Nephrology is no exception, and daily innovations are underway to provide digitalised alternatives to current models of healthcare provision. Wearable technology already exists commercially, and advances in nanotechnology and miniaturisation mean interest is also garnering clinically. Here, we outline the current existing wearable technology pertaining to the diagnosis and monitoring of patients with a spectrum of kidney disease, give an overview of wearable dialysis technology, and explore wearables that do not yet exist but would be of great interest. Finally, we discuss challenges and potential pitfalls with utilising wearable technology and the factors associated with successful implementation.
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Affiliation(s)
- Madelena Stauss
- Department of Nephrology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston PR2 9HT, UK
| | - Htay Htay
- Department of Renal Medicine, Singapore General Hospital, Singapore 169608, Singapore
| | - Jeroen P. Kooman
- Department of Internal Medicine, Division of Nephrology, Maastricht University, 6229 HX Maastricht, The Netherlands
| | - Thomas Lindsay
- Department of Nephrology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston PR2 9HT, UK
| | - Alexander Woywodt
- Department of Nephrology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston PR2 9HT, UK
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21
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Knaepen L, Falter M, Scherrenberg M, Dendale P, Desteghe L, Heidbuchel H. Assessment of functionalities and attitude toward telemedicine for patients with cardiovascular disease. Digit Health 2023; 9:20552076231176941. [PMID: 37223773 PMCID: PMC10201530 DOI: 10.1177/20552076231176941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 05/03/2023] [Indexed: 05/25/2023] Open
Abstract
Introduction Many patients with cardiovascular diseases are only seen by a physician once or twice a year unless urgent symptoms. Recent years have shown an increase in digital technologies to follow patients remotely, that is, telemedicine. Telemedicine can be supportive for follow-up of patients at continuous risk. This study investigated patients' attitude toward telemedicine, the defined features they consider important and future willingness to pay. Methods Cardiology patients with various types of prior telemedicine follow-up or who never had a telemonitoring follow-up were included. A new self-developed survey was implemented electronically and took 5-10 min to complete. Results In total, 231 patients (191 telemedicine [T] and 40 controls [C]), were included. Most participants owned a smartphone (84.8%) and only 2.2% of the total participants did not own any digital device. The most important feature of telemedicine cited in both groups was personalization (i.e., personalized health tips based on medical history, 89.6%; personalized feedback on entered health parameters 86.1%). The most important motivating factor for the use of telemedicine is recommendation by a physician (84.8%), while the reduction of in-person visits is a minor reason (24.7%). Only half of the participants (67.1%) would be willing to pay for telemedicine tools in the future. Conclusion Patients with cardiovascular disease have a positive attitude to telemedicine, especially when it allows for more personalized care, and when it is advocated by the physician. Participants expect that telemedicine becomes part of reimbursed care. This calls for interactive tools with proven efficacy and safety, while guarding unequal access to care.
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Affiliation(s)
- Lieselotte Knaepen
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Heart Center Hasselt, Jessa Hospital,
Hasselt, Belgium
- Antwerp University Hospital, Antwerp,
Belgium
- Research Group Cardiovascular Diseases,
GENCOR, University of Antwerp, Antwerp, Belgium
| | - Maarten Falter
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Heart Center Hasselt, Jessa Hospital,
Hasselt, Belgium
| | - Martijn Scherrenberg
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Heart Center Hasselt, Jessa Hospital,
Hasselt, Belgium
- Antwerp University Hospital, Antwerp,
Belgium
| | - Paul Dendale
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Heart Center Hasselt, Jessa Hospital,
Hasselt, Belgium
| | - Lien Desteghe
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Heart Center Hasselt, Jessa Hospital,
Hasselt, Belgium
- Antwerp University Hospital, Antwerp,
Belgium
- Research Group Cardiovascular Diseases,
GENCOR, University of Antwerp, Antwerp, Belgium
| | - Hein Heidbuchel
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Antwerp University Hospital, Antwerp,
Belgium
- Research Group Cardiovascular Diseases,
GENCOR, University of Antwerp, Antwerp, Belgium
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22
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Goudis C, Daios S, Dimitriadis F, Liu T. CHARGE-AF: A Useful Score For Atrial Fibrillation Prediction? Curr Cardiol Rev 2023; 19:e010922208402. [PMID: 36056866 PMCID: PMC10201902 DOI: 10.2174/1573403x18666220901102557] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 07/10/2022] [Accepted: 08/01/2022] [Indexed: 11/22/2022] Open
Abstract
Atrial fibrillation (AF) is the commonest arrhythmia in clinical practice and is associated with increased morbidity and mortality. Various predictive scores for new-onset AF have been proposed, but so far, none have been widely used in clinical practice. CHARGE-AF score was developed from a pooled diverse population from three large cohorts (Atherosclerosis Risk in Communities study, Cardiovascular Health Study and Framingham Heart Study). A simple 5-year predictive model includes the variables of age, race, height, weight, systolic and diastolic blood pressure, current smoking, use of antihypertensive medication, diabetes mellitus, history of myocardial infarction and heart failure. Recent studies report that the CHARGE-AF score has good discrimination for incident AF and seems to be a promising prediction model for this arrhythmia. New screening tools (smartphone apps, smartwatches) are rapidly developing for AF detection. Therefore, the wide application of the CHARGE-AF score in clinical practice and the upcoming usage of mobile health technologies and smartwatches may result in better AF prediction and adequate stroke prevention, especially in high-risk patients.
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Affiliation(s)
- Christos Goudis
- Department of Cardiology, Serres General Hospital, Serres, Greece
| | - Stylianos Daios
- Department of Cardiology, Serres General Hospital, Serres, Greece
| | - Fotios Dimitriadis
- Department of Cardiology, George Papanikolaou General Hospital, Thessaloniki, Greece
| | - Tong Liu
- Department of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, People’s Republic of China
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23
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van der Velden RMJ, Pluymaekers NAHA, Dudink EAMP, Luermans JGLM, Meeder JG, Heesen WF, Lenderink T, Widdershoven JWMG, Bucx JJJ, Rienstra M, Kamp O, van Opstal JM, Kirchhof CJHJ, van Dijk VF, Swart HP, Alings M, Van Gelder IC, Crijns HJGM, Linz D. Mobile health adherence for the detection of recurrent recent-onset atrial fibrillation. HEART (BRITISH CARDIAC SOCIETY) 2022; 109:26-33. [PMID: 36322782 DOI: 10.1136/heartjnl-2022-321346] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 08/05/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVE The Rate Control versus Electrical Cardioversion Trial 7-Acute Cardioversion versus Wait and See trial compared early to delayed cardioversion for patients with recent-onset symptomatic atrial fibrillation (AF). This study aims to evaluate the adherence to a 4-week mobile health (mHealth) prescription to detect AF recurrences after an emergency department visit. METHODS After the emergency department visit, the 437 included patients, irrespective of randomisation arm (early or delayed cardioversion), were asked to record heart rate and rhythm for 1 min three times daily and in case of symptoms by an electrocardiography-based handheld device for 4 weeks (if available). Adherence was appraised as number of performed measurements per number of recordings asked from the patient and was evaluated for longitudinal adherence consistency. All patients who used the handheld device were included in this subanalysis. RESULTS 335 patients (58% males; median age 67 (IQR 11) years) were included. The median overall adherence of all patients was 83.3% (IQR 29.9%). The median number of monitoring days was 27 out of 27 (IQR 5), whereas the median number of full monitoring days was 16 out of 27 (IQR 14). Higher age and a previous paroxysm of AF were identified as multivariable adjusted factors associated with adherence. CONCLUSIONS In this randomised trial, a 4-week mHealth prescription to monitor for AF recurrences after an emergency department visit for recent-onset AF was feasible with 85.7% of patients consistently using the device with at least one measurement per day. Older patients were more adherent. TRIAL REGISTRATION NUMBER NCT02248753.
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Affiliation(s)
| | | | - Elton A M P Dudink
- Cardiology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Justin G L M Luermans
- Cardiology, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Cardiology, RadboudUMC, Nijmegen, The Netherlands
| | - Joan G Meeder
- Cardiology, VieCuri Medisch Centrum, Venlo, The Netherlands
| | | | - Timo Lenderink
- Cardiology, Zuyderland Medisch Centrum Heerlen, Heerlen, The Netherlands
| | | | - Jeroen J J Bucx
- Cardiology, Diakonessenhuis Utrecht Zeist Doorn, Utrecht, The Netherlands
| | | | - Otto Kamp
- Cardiology, Amsterdam UMC Locatie VUmc, Amsterdam, The Netherlands
| | | | | | | | - Henk P Swart
- Cardiology, Antonius Hospital, Sneek, The Netherlands
| | - Marco Alings
- Cardiology, Amphia Hospital, Breda, The Netherlands
| | | | - Harry J G M Crijns
- Cardiology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Dominik Linz
- Cardiology, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Biomedical Sciences, University of Copenhagen, Kobenhavn, Denmark.,Center for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, South Australia, Australia
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24
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Lawin D, Kuhn S, Schulze Lammers S, Lawrenz T, Stellbrink C. Use of digital health applications for the detection of atrial fibrillation. Herzschrittmacherther Elektrophysiol 2022; 33:373-379. [PMID: 35960358 DOI: 10.1007/s00399-022-00888-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
The advances in health care technologies over the last decade have led to improved capabilities in the use of digital health applications (DiHA) for the detection of atrial fibrillation (AFib). Thus, home-based remote heart rhythm monitoring is facilitated by smartphones or smartwatches alone or combined with external sensors. The available products differ in terms of type of application (wearable vs. handheld) and the technique used for rhythm detection (electrocardiography [ECG] vs. photoplethysmography [PPG]). While ECG-based algorithms often require additional sensors, PPG utilizes techniques integrated in smartphones or smartwatches. Algorithms based on artificial intelligence allow for the automated diagnosis of AFib, enabling high diagnostic accuracy for both ECG-based and PPG-based DiHA. Advantages for clinical use result from the widespread accessibility of rhythm monitoring, thereby permitting earlier diagnosis and higher AFib detection rates. DiHA are also useful for the follow-up of patients with known AFib by monitoring the success of therapeutic interventions to restore sinus rhythm, e.g. catheter ablation. Although some studies strongly suggest a potential benefit for the use of DiHA in the setting of AFib, the overall evidence for an improvement in hard, clinical endpoints and positive effects on clinical care is scarce. To enhance the acceptance of DiHA use in daily practice, more studies evaluating their clinical benefits for the detection of AFib are required. Moreover, most of the applications are still not reimbursable, although the German Digital Health Care Act (Digitale-Versorgung-Gesetz, DVG) made reimbursement possible in principle in 2019.
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Affiliation(s)
- Dennis Lawin
- Department of Cardiology and Intensive Care Medicine, University hospital OWL of Bielefeld University, Campus Klinikum Bielefeld, Teutoburger Str. 50, 33604, Bielefeld, Germany.
- Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, Bielefeld, Germany.
| | - Sebastian Kuhn
- Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, Bielefeld, Germany
| | - Sophia Schulze Lammers
- Department of Cardiology and Intensive Care Medicine, University hospital OWL of Bielefeld University, Campus Klinikum Bielefeld, Teutoburger Str. 50, 33604, Bielefeld, Germany
| | - Thorsten Lawrenz
- Department of Cardiology and Intensive Care Medicine, University hospital OWL of Bielefeld University, Campus Klinikum Bielefeld, Teutoburger Str. 50, 33604, Bielefeld, Germany
| | - Christoph Stellbrink
- Department of Cardiology and Intensive Care Medicine, University hospital OWL of Bielefeld University, Campus Klinikum Bielefeld, Teutoburger Str. 50, 33604, Bielefeld, Germany
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25
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Dilaveris PE, Antoniou CK, Caiani EG, Casado-Arroyo R, Climent AΜ, Cluitmans M, Cowie MR, Doehner W, Guerra F, Jensen MT, Kalarus Z, Locati ET, Platonov P, Simova I, Schnabel RB, Schuuring MJ, Tsivgoulis G, Lumens J. ESC Working Group on e-Cardiology Position Paper: accuracy and reliability of electrocardiogram monitoring in the detection of atrial fibrillation in cryptogenic stroke patients : In collaboration with the Council on Stroke, the European Heart Rhythm Association, and the Digital Health Committee. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2022; 3:341-358. [PMID: 36712155 PMCID: PMC9707962 DOI: 10.1093/ehjdh/ztac026] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The role of subclinical atrial fibrillation as a cause of cryptogenic stroke is unambiguously established. Long-term electrocardiogram (ECG) monitoring remains the sole method for determining its presence following a negative initial workup. This position paper of the European Society of Cardiology Working Group on e-Cardiology first presents the definition, epidemiology, and clinical impact of cryptogenic ischaemic stroke, as well as its aetiopathogenic association with occult atrial fibrillation. Then, classification methods for ischaemic stroke will be discussed, along with their value in providing meaningful guidance for further diagnostic efforts, given disappointing findings of studies based on the embolic stroke of unknown significance construct. Patient selection criteria for long-term ECG monitoring, crucial for determining pre-test probability of subclinical atrial fibrillation, will also be discussed. Subsequently, the two major classes of long-term ECG monitoring tools (non-invasive and invasive) will be presented, with a discussion of each method's pitfalls and related algorithms to improve diagnostic yield and accuracy. Although novel mobile health (mHealth) devices, including smartphones and smartwatches, have dramatically increased atrial fibrillation detection post ischaemic stroke, the latest evidence appears to favour implantable cardiac monitors as the modality of choice; however, the answer to whether they should constitute the initial diagnostic choice for all cryptogenic stroke patients remains elusive. Finally, institutional and organizational issues, such as reimbursement, responsibility for patient management, data ownership, and handling will be briefly touched upon, despite the fact that guidance remains scarce and widespread clinical application and experience are the most likely sources for definite answers.
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Affiliation(s)
- Polychronis E Dilaveris
- First Department of Cardiology, Hippokration Hospital, National and Kapodistrian University of Athens, 114 Vas. Sofias Avenue, 11527 Athens, Greece
| | - Christos Konstantinos Antoniou
- First Department of Cardiology, Hippokration Hospital, National and Kapodistrian University of Athens, 114 Vas. Sofias Avenue, 11527 Athens, Greece
- Electrophysiology and Pacing Laboratory, Athens Heart Centre, Athens Medical Center, Marousi, Attica, Greece
| | - Enrico G Caiani
- Politecnico di Milano, Department of Electronics, Information and Biomedical Engineering, Milan, Italy
- National Council of Research, Institute of Electronics, Information and Telecommunication Engineering, Milan, Italy
| | - Ruben Casado-Arroyo
- Department of Cardiology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Andreu Μ Climent
- ITACA Institute, Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain
| | - Matthijs Cluitmans
- CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Martin R Cowie
- Department of Cardiology, Royal Brompton Hospital, London, United Kingdom
| | - Wolfram Doehner
- Berlin Institute of Health at Charité—Universitätsmedizin Berlin, BIH Center for Regenerative Therapies (BCRT), Charitéplatz 1, 10117 Berlin, Germany
- Department of Cardiology (Virchow Klinikum), and Center for Stroke Research Berlin, Charité Universitätsmedizin Berlin, and German Centre for Cardiovascular Research (DZHK), partner site Berlin, Germany
| | - Federico Guerra
- Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital ‘Ospedali Riuniti Umberto I—Lancisi—Salesi’, Ancona, Italy
| | - Magnus T Jensen
- Department of Cardiology, Copenhagen University Hospital Amager & Hvidovre, Denmark
| | - Zbigniew Kalarus
- DMS in Zabrze, Department of Cardiology, Medical University of Silesia, Katowice, Poland
| | - Emanuela Teresa Locati
- Arrhythmology & Electrophysiology Department, IRCCS Policlinico San Donato, Milan, Italy
| | - Pyotr Platonov
- Department of Cardiology, Clinical Sciences, Lund University Hospital, Lund, Sweden
| | - Iana Simova
- Cardiology Clinic, Heart and Brain Centre of Excellence—University Hospital, Medical University Pleven, Pleven, Bulgaria
| | - Renate B Schnabel
- Department of Cardiology, University Heart and Vascular Centre Hamburg-Eppendorf, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK) partner site, Hamburg/Kiel/Lübeck, Germany
| | - Mark J Schuuring
- Department of Cardiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Georgios Tsivgoulis
- Second Department of Neurology, ‘Attikon’ University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Joost Lumens
- CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands
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26
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Affiliation(s)
- Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands.,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - William F McIntyre
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada.,Population Health Research Institute, Hamilton, Ontario, Canada
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27
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Hermans ANL, Gawalko M, Slegers DPJ, Andelfinger N, Pluymaekers NAHA, Verhaert DVM, van der Velden RMJ, Betz K, Evens S, Luermans JGLM, den Uijl DW, Baumert M, Nguyen HL, Isaksen JL, Kanters JK, Rienstra M, Vernooy K, Van Gelder IC, Hendriks JM, Linz D. Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation. Int J Cardiol 2022; 367:29-37. [PMID: 35963443 DOI: 10.1016/j.ijcard.2022.08.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/20/2022] [Accepted: 08/08/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND The assessment of symptom-rhythm correlation (SRC) in patients with persistent atrial fibrillation (AF) is challenging. Therefore, we performed a novel mobile app-based approach to assess SRC in persistent AF. METHODS Consecutive persistent AF patients planned for electrical cardioversion (ECV) used a mobile app to record a 60-s photoplethysmogram (PPG) and report symptoms once daily and in case of symptoms for four weeks prior and three weeks after ECV. Within each patient, SRC was quantified by the SRC-index defined as the sum of symptomatic AF recordings and asymptomatic non-AF recordings divided by the sum of all recordings. RESULTS Of 88 patients (33% women, age 68 ± 9 years) included, 78% reported any symptoms during recordings. The overall SRC-index was 0.61 (0.44-0.79). The study population was divided into SRC-index tertiles: low (<0.47), medium (0.47-0.73) and high (≥0.73). Patients within the low (vs high) SRC-index tertile had more often heart failure and diabetes mellitus (both 24.1% vs 6.9%). Extrasystoles occurred in 19% of all symptomatic non-AF PPG recordings. Within each patient, PPG recordings with the highest (vs lowest) tertile of pulse rates conferred an increased risk for symptomatic AF recordings (odds ratio [OR] 1.26, 95% coincidence interval [CI] 1.04-1.52) and symptomatic non-AF recordings (OR 2.93, 95% CI 2.16-3.97). Pulse variability was not associated with reported symptoms. CONCLUSIONS In patients with persistent AF, SRC is relatively low. Pulse rate is the main determinant of reported symptoms. Further studies are required to verify whether integrating mobile app-based SRC assessment in current workflows can improve AF management.
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Affiliation(s)
- Astrid N L Hermans
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | - Monika Gawalko
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands; Institute of Pharmacology, West German Heart and Vascular Center, University Duisburg-Essen, Essen, Germany; 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Daniek P J Slegers
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | - Nora Andelfinger
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | - Nikki A H A Pluymaekers
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | - Dominique V M Verhaert
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands; Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | - Konstanze Betz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | | | - Justin G L M Luermans
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands; Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Dennis W den Uijl
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | - Mathias Baumert
- School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia
| | - Hien L Nguyen
- School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia
| | - Jonas L Isaksen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jørgen K Kanters
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands; Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Isabelle C Van Gelder
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Jeroen M Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia; Center for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands; Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Center for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia.
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28
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Gawałko M, Hermans AN, van der Velden RM, Betz K, Vm Verhaert D, Hillmann HA, Scherr D, Meier J, Sultan A, Steven D, Terentieva E, Pisters R, Hemels M, Voorhout L, Lodziński P, Krzowski B, Gupta D, Kozhuharov N, Pison L, Gruwez H, Desteghe L, Heidbuchel H, Evens S, Svennberg E, de Potter T, Vernooy K, Pluymaekers NA, Manninger M, Duncker D, Sohaib A, Linz D, Hendriks JM. Patient motivation and adherence to an on-demand app-based heart rate and rhythm monitoring for atrial fibrillation management: data from the TeleCheck-AF project. Eur J Cardiovasc Nurs 2022; 22:412-424. [PMID: 35932189 DOI: 10.1093/eurjcn/zvac061] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 06/23/2022] [Accepted: 06/24/2022] [Indexed: 11/12/2022]
Abstract
AIMS The aim of this TeleCheck-AF sub-analysis was to evaluate motivation and adherence to on-demand heart rate/rhythm monitoring app in patients with atrial fibrillation (AF). METHODS AND RESULTS Patients were instructed to perform 60 s app-based heart rate/rhythm recordings 3 times daily and in case of symptoms for 7 consecutive days prior to teleconsultation. Motivation was defined as number of days in which the expected number of measurements (≥3/day) were performed per number of days over the entire prescription period. Adherence was defined as number of performed measurements per number of expected measurements over the entire prescription period.Data from 990 consecutive patients with diagnosed AF [median age 64 (57-71) years, 39% female] from 10 centres were analyzed. Patients with both optimal motivation (100%) and adherence (≥100%) constituted 28% of the study population and had a lower percentage of recordings in sinus rhythm [90 (53-100%) vs. 100 (64-100%), P < 0.001] compared with others. Older age and absence of diabetes were predictors of both optimal motivation and adherence [odds ratio (OR) 1.02, 95% coincidence interval (95% CI): 1.01-1.04, P < 0.001 and OR: 0.49, 95% CI: 0.28-0.86, P = 0.013, respectively]. Patients with 100% motivation also had ≥100% adherence. Independent predictors for optimal adherence alone were older age (OR: 1.02, 95% CI: 1.00-1.04, P = 0.014), female sex (OR: 1.70, 95% CI: 1.29-2.23, P < 0.001), previous AF ablation (OR: 1.35, 95% CI: 1.03-1.07, P = 0.028). CONCLUSION In the TeleCheck-AF project, more than one-fourth of patients had optimal motivation and adherence to app-based heart rate/rhythm monitoring. Older age and absence of diabetes were predictors of optimal motivation/adherence.
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Affiliation(s)
- Monika Gawałko
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 HX Maastricht, The Netherlands.,Institute of Pharmacology, West German Heart and Vascular Center, University Duisburg-Essen, 45147 Essen, Germany.,1st Department of Cardiology, Medical University of Warsaw, 02-197 Warsaw, Poland
| | - Astrid Nl Hermans
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 HX Maastricht, The Netherlands
| | - Rachel Mj van der Velden
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 HX Maastricht, The Netherlands
| | - Konstanze Betz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 HX Maastricht, The Netherlands
| | - Dominique Vm Verhaert
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 HX Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Henrike Ak Hillmann
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, D-30625 Hannover, Germany
| | - Daniel Scherr
- Department of Cardiology, University Clinic of Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Julia Meier
- Department of Cardiology, University Clinic of Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Arian Sultan
- Department of Electrophysiology, University of Cologne, Heart Center, 50937 Cologne, Germany
| | - Daniel Steven
- Department of Electrophysiology, University of Cologne, Heart Center, 50937 Cologne, Germany
| | - Elena Terentieva
- Department of Electrophysiology, University of Cologne, Heart Center, 50937 Cologne, Germany
| | - Ron Pisters
- Department of Cardiology, Rijnstate Hospital, 6815 AD Arnhem, The Netherlands
| | - Martin Hemels
- Department of Cardiology, Rijnstate Hospital, 6815 AD Arnhem, The Netherlands
| | - Leonard Voorhout
- Department of Cardiology, Rijnstate Hospital, 6815 AD Arnhem, The Netherlands
| | - Piotr Lodziński
- 1st Department of Cardiology, Medical University of Warsaw, 02-197 Warsaw, Poland
| | - Bartosz Krzowski
- 1st Department of Cardiology, Medical University of Warsaw, 02-197 Warsaw, Poland
| | - Dhiraj Gupta
- Department of Cardiology, Liverpool Heart and Chest Hospital, L14 3PE Liverpool, United Kingdom
| | - Nikola Kozhuharov
- Department of Cardiology, Liverpool Heart and Chest Hospital, L14 3PE Liverpool, United Kingdom.,Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, 4031 Basel, Switzerland
| | - Laurent Pison
- Department of Cardiology, Hospital East-Limburg, 3600 Genk, Belgium
| | - Henri Gruwez
- Department of Cardiology, Hospital East-Limburg, 3600 Genk, Belgium.,Department of Cardiovascular Sciences, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Lien Desteghe
- Cardiology Department, Antwerp University Hospital and Antwerp University, 2650 Antwerp, Belgium.,Faculty of Medicine and Life Sciences, Hasselt University and Jessa Hospital, 3500 Hasselt, Belgium
| | - Hein Heidbuchel
- Cardiology Department, Antwerp University Hospital and Antwerp University, 2650 Antwerp, Belgium
| | | | - Emma Svennberg
- Deptartment of Cardiology, Karolinska University Hospital, 171 77 Stockholm, Sweden
| | - Tom de Potter
- Cardiovascular Center, Onze Lieve Vrouwziekenhuis, 9300 Aalst, Belgium
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 HX Maastricht, The Netherlands
| | - Nikki Aha Pluymaekers
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 HX Maastricht, The Netherlands
| | - Martin Manninger
- Department of Cardiology, University Clinic of Medicine, Medical University of Graz, 8036 Graz, Austria
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, D-30625 Hannover, Germany
| | - Afzal Sohaib
- Barts Heart Center, St Bartholomew's Hospital, EC1A 7BE London, United Kingdom.,Department of Cardiology, King George Hospital, IG3 8YB Ilford, United Kingdom
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 HX Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.,Center for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, SA 5000 Adelaide, Australia.,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Jeroen M Hendriks
- Center for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, SA 5000 Adelaide, Australia.,Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, SA 5042 Adelaide, Australia
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29
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Abdel-Qadir H, Akioyamen LE, Fang J, Pang A, Ha AC, Jackevicius CA, Alter DA, Austin PC, Atzema CL, Bhatia RS, Booth GL, Johnston S, Dhalla I, Kapral MK, Krumholz HM, McNaughton CD, Roifman I, Tu K, Udell JA, Wijeysundera HC, Ko DT, Schull MJ, Lee DS. Association of Neighborhood-Level Material Deprivation With Atrial Fibrillation Care in a Single-Payer Health Care System: A Population-Based Cohort Study. Circulation 2022; 146:159-171. [PMID: 35678171 PMCID: PMC9287095 DOI: 10.1161/circulationaha.122.058949] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND There are limited data on the association of material deprivation with clinical care and outcomes after atrial fibrillation (AF) diagnosis in jurisdictions with universal health care. METHODS This was a population-based cohort study of individuals ≥66 years of age with first diagnosis of AF between April 1, 2007, and March 31, 2019, in the Canadian province of Ontario, which provides public funding and prohibits private payment for medically necessary physician and hospital services. Prescription medications are subsidized for residents >65 years of age. The primary exposure was neighborhood material deprivation, a metric derived from Canadian census data to estimate inability to attain basic material needs. Neighborhoods were categorized by quintile from Q1 (least deprived) to Q5 (most deprived). Cause-specific hazards regression was used to study the association of material deprivation quintile with time to AF-related adverse events (death or hospitalization for stroke, heart failure, or bleeding), clinical services (physician visits, cardiac diagnostics), and interventions (anticoagulation, cardioversion, ablation) while adjusting for individual characteristics and regional cardiologist supply. RESULTS Among 347 632 individuals with AF (median age 79 years, 48.9% female), individuals in the most deprived neighborhoods (Q5) had higher prevalence of cardiovascular disease, risk factors, and noncardiovascular comorbidity relative to residents of the least deprived neighborhoods (Q1). After adjustment, Q5 residents had higher hazards of death (hazard ratio [HR], 1.16 [95% CI, 1.13-1.20]) and hospitalization for stroke (HR, 1.16 [95% CI, 1.07-1.27]), heart failure (HR, 1.14 [95% CI, 1.11-1.18]), or bleeding (HR, 1.16 [95% CI, 1.07-1.25]) relative to Q1. There were small differences across quintiles in primary care physician visits (HR, Q5 versus Q1, 0.91 [95% CI, 0.89-0.92]), echocardiography (HR, Q5 versus Q1, 0.97 [95% CI, 0.96-0.99]), and dispensation of anticoagulation (HR, Q5 versus Q1, 0.97 [95% CI, 0.95-0.98]). There were more prominent disparities for Q5 versus Q1 in cardiologist visits (HR, 0.84 [95% CI, 0.82-0.86]), cardioversion (HR, 0.80 [95% CI, 0.76-0.84]), and ablation (HR, 0.45 [95% CI, 0.30-0.67]). CONCLUSIONS Despite universal health care and prescription medication coverage, residents of more deprived neighborhoods were less likely to visit cardiologists or receive rhythm control interventions after AF diagnosis, even though they exhibited higher cardiovascular disease burden and higher risk of adverse outcomes.
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Affiliation(s)
- Husam Abdel-Qadir
- Women’s College Hospital, Toronto, Canada (H.A.-Q., J.A.U.)
- University Health Network, Toronto, Canada (H.A.-Q., A.C.T.H., C.A.J., D.A.A., R.S.B., M.K.K., K.T., J.A.U., D.S.L.)
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
| | - Leo E. Akioyamen
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
| | - Jiming Fang
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
| | - Andrea Pang
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
| | - Andrew C.T. Ha
- University Health Network, Toronto, Canada (H.A.-Q., A.C.T.H., C.A.J., D.A.A., R.S.B., M.K.K., K.T., J.A.U., D.S.L.)
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
| | - Cynthia A. Jackevicius
- University Health Network, Toronto, Canada (H.A.-Q., A.C.T.H., C.A.J., D.A.A., R.S.B., M.K.K., K.T., J.A.U., D.S.L.)
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Western University of Health Sciences, Pomona, CA (C.A.J.)
| | - David A. Alter
- University Health Network, Toronto, Canada (H.A.-Q., A.C.T.H., C.A.J., D.A.A., R.S.B., M.K.K., K.T., J.A.U., D.S.L.)
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
| | - Peter C. Austin
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
| | - Clare L. Atzema
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Sunnybrook Health Sciences Centre, Toronto, Canada (C.L.A., C.D.M., I.R., H.C.W., D.T.K., M.J.S.)
| | - R. Sacha Bhatia
- University Health Network, Toronto, Canada (H.A.-Q., A.C.T.H., C.A.J., D.A.A., R.S.B., M.K.K., K.T., J.A.U., D.S.L.)
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
| | - Gillian L. Booth
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Li Ka Shing Knowledge Institute of St Michael’s Hospital, Toronto, Canada (G.L.B., I.D.)
| | - Sharon Johnston
- Departments of Family Medicine, University of Ottawa, Ottawa, Canada (S.J.)
- Institu du Savoir, Hôpital Montfort‚ Ottawa, Canada (S.J.)
| | - Irfan Dhalla
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Li Ka Shing Knowledge Institute of St Michael’s Hospital, Toronto, Canada (G.L.B., I.D.)
| | - Moira K. Kapral
- University Health Network, Toronto, Canada (H.A.-Q., A.C.T.H., C.A.J., D.A.A., R.S.B., M.K.K., K.T., J.A.U., D.S.L.)
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
| | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (H.M.K.)
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.)
| | - Candace D. McNaughton
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Sunnybrook Health Sciences Centre, Toronto, Canada (C.L.A., C.D.M., I.R., H.C.W., D.T.K., M.J.S.)
| | - Idan Roifman
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Sunnybrook Health Sciences Centre, Toronto, Canada (C.L.A., C.D.M., I.R., H.C.W., D.T.K., M.J.S.)
| | - Karen Tu
- University Health Network, Toronto, Canada (H.A.-Q., A.C.T.H., C.A.J., D.A.A., R.S.B., M.K.K., K.T., J.A.U., D.S.L.)
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Family and Community Medicine (K.T.), University of Toronto, Toronto‚ Canada
- North York General Hospital, Toronto, Canada (K.T.)
| | - Jacob A. Udell
- Women’s College Hospital, Toronto, Canada (H.A.-Q., J.A.U.)
- University Health Network, Toronto, Canada (H.A.-Q., A.C.T.H., C.A.J., D.A.A., R.S.B., M.K.K., K.T., J.A.U., D.S.L.)
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
| | - Harindra C. Wijeysundera
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Sunnybrook Health Sciences Centre, Toronto, Canada (C.L.A., C.D.M., I.R., H.C.W., D.T.K., M.J.S.)
| | - Dennis T. Ko
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Sunnybrook Health Sciences Centre, Toronto, Canada (C.L.A., C.D.M., I.R., H.C.W., D.T.K., M.J.S.)
| | - Michael J. Schull
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Sunnybrook Health Sciences Centre, Toronto, Canada (C.L.A., C.D.M., I.R., H.C.W., D.T.K., M.J.S.)
| | - Douglas S. Lee
- University Health Network, Toronto, Canada (H.A.-Q., A.C.T.H., C.A.J., D.A.A., R.S.B., M.K.K., K.T., J.A.U., D.S.L.)
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Canada (H.A.-Q., J.F., A.P., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.)
- Institute of Health Policy, Management, and Evaluation (H.A.-Q., C.A.J., D.A.A., P.C.A., C.L.A., G.L.B., I.D., M.K.K., I.R., K.T., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
- Department of Medicine (H.A.-Q., L.E.A., A.C.T.H., D.A.A., C.L.A., R.S.B., G.L.B., I.D., M.K.K., C.D.M., I.R., J.A.U., H.C.W., D.T.K., M.J.S., D.S.L.), University of Toronto, Toronto‚ Canada
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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: 119] [Impact Index Per Article: 59.5] [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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Barrios V, Cinza-Sanjurjo S, García-Alegría J, Freixa-Pamias R, Llordachs-Marques F, Molina CA, Santamaría A, Vivas D, Suárez Fernandez C. Role of telemedicine in the management of oral anticoagulation in atrial fibrillation: a practical clinical approach. Future Cardiol 2022; 18:743-754. [PMID: 35822847 DOI: 10.2217/fca-2022-0044] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Compared with face-to-face consultations, telemedicine has many advantages, including more efficient use of healthcare resources, partial relief of the burden of care, reduced exposure to COVID-19, treatment adjustment, organization of more efficient healthcare circuits and patient empowerment. Ensuring optimal anticoagulation in atrial fibrillation patients is mandatory if we want to reduce the thromboembolic risk. Of note, telemedicine is an excellent option for the long-term management of atrial fibrillation patients. Moreover, direct oral anticoagulants may provide an added value in telemedicine (versus vitamin K antagonists), as it is not necessary to monitor anticoagulant effect or make continuous dosage adjustments. In this multidisciplinary consensus document, the role of telemedicine in anticoagulation of this population is discussed and practical recommendations are provided.
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Affiliation(s)
- Vivencio Barrios
- Department of Cardiology, Ramón y Cajal University Hospital, Alcalá University, Madrid, Spain
| | - Sergio Cinza-Sanjurjo
- Family Medicine, Porto do Son Health Center, Santiago de Compostela Health Area, A Coruña, Spain
| | | | - Román Freixa-Pamias
- Department of Cardiology, Moisés Broggi Hospital, Sant Joan Despí, Barcelona, Spain
| | - Frederic Llordachs-Marques
- Expert consultant in E-Health/Telemedicine, Founder at Doctoralia and CEO at Doctomatic, Barcelona, Spain
| | - Carlos A Molina
- Department of Neurology, Stroke Unit, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Amparo Santamaría
- Department of Hematology, Vinalopó University Hospital, Alicante, Spain
| | - David Vivas
- Department of Cardiology, San Carlos Hospital, Madrid, Spain
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Verhaert DVM, Linz D, Chaldoupi SM, Westra SW, den Uijl DW, Philippens S, Kerperien M, Habibi Z, Vorstermans B, ter Bekke RMA, Beukema RJ, Evertz R, Hemels MEW, Luermans JGLM, Manusama R, Lankveld TAR, van der Heijden CAJ, Bidar E, Hermans BJM, Zeemering S, Bijvoet GP, Habets J, Holtackers RJ, Mihl C, Nijveldt R, van Empel VPM, Knackstedt C, Simons SO, Buhre WFFA, Tijssen JGP, Isaacs A, Crijns HJGM, Maesen B, Vernooy K, Schotten U. Rationale and Design of the ISOLATION Study: A Multicenter Prospective Cohort Study Identifying Predictors for Successful Atrial Fibrillation Ablation in an Integrated Clinical Care and Research Pathway. Front Cardiovasc Med 2022; 9:879139. [PMID: 35879962 PMCID: PMC9307503 DOI: 10.3389/fcvm.2022.879139] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 06/08/2022] [Indexed: 11/28/2022] Open
Abstract
Introduction Continuous progress in atrial fibrillation (AF) ablation techniques has led to an increasing number of procedures with improved outcome. However, about 30-50% of patients still experience recurrences within 1 year after their ablation. Comprehensive translational research approaches integrated in clinical care pathways may improve our understanding of the complex pathophysiology of AF and improve patient selection for AF ablation. Objectives Within the "IntenSive mOlecular and eLectropathological chAracterization of patienTs undergoIng atrial fibrillatiOn ablatioN" (ISOLATION) study, we aim to identify predictors of successful AF ablation in the following domains: (1) clinical factors, (2) AF patterns, (3) anatomical characteristics, (4) electrophysiological characteristics, (5) circulating biomarkers, and (6) genetic background. Herein, the design of the ISOLATION study and the integration of all study procedures into a standardized pathway for patients undergoing AF ablation are described. Methods ISOLATION (NCT04342312) is a two-center prospective cohort study including 650 patients undergoing AF ablation. Clinical characteristics and routine clinical test results will be collected, as well as results from the following additional diagnostics: determination of body composition, pre-procedural rhythm monitoring, extended surface electrocardiogram, biomarker testing, genetic analysis, and questionnaires. A multimodality model including a combination of established predictors and novel techniques will be developed to predict ablation success. Discussion In this study, several domains will be examined to identify predictors of successful AF ablation. The results may be used to improve patient selection for invasive AF management and to tailor treatment decisions to individual patients.
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Affiliation(s)
- Dominique V. M. Verhaert
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Dominik Linz
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
- Centre for Heart Rhythm Disorders, Royal Adelaide Hospital, The University of Adelaide, Adelaide, SA, Australia
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sevasti Maria Chaldoupi
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Sjoerd W. Westra
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Dennis W. den Uijl
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Suzanne Philippens
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Mijke Kerperien
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Zarina Habibi
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Bianca Vorstermans
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Rachel M. A. ter Bekke
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Rypko J. Beukema
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Reinder Evertz
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Martin E. W. Hemels
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Justin G. L. M. Luermans
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Randolph Manusama
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Theo A. R. Lankveld
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Claudia A. J. van der Heijden
- Department of Cardiothoracic Surgery, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Elham Bidar
- Department of Cardiothoracic Surgery, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Ben J. M. Hermans
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
| | - Stef Zeemering
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
| | - Geertruida P. Bijvoet
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Jesse Habets
- Department of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Robert J. Holtackers
- Department of Radiology and Nuclear Medicine, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Casper Mihl
- Department of Radiology and Nuclear Medicine, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Robin Nijveldt
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Vanessa P. M. van Empel
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Christian Knackstedt
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Sami O. Simons
- Department of Respiratory Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | | | - Jan G. P. Tijssen
- Department of Cardiology, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Aaron Isaacs
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
| | - Harry J. G. M. Crijns
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Bart Maesen
- Department of Cardiothoracic Surgery, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Ulrich Schotten
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
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Ducceschi V, de Divitiis M, Bianchi V, Calvanese R, Covino G, Rapacciuolo A, Russo V, Canciello M, Volpicelli M, Ammirati G, Sangiuolo R, Papaccioli G, Ciardiello C, Innocenti S, D'Onofrio A. Effects of COVID-19 lockdown on arrhythmias in patients with implantable cardioverter-defibrillators in southern Italy. J Arrhythm 2022; 38:439-445. [PMID: 35785398 PMCID: PMC9237340 DOI: 10.1002/joa3.12713] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 03/21/2022] [Accepted: 03/28/2022] [Indexed: 12/23/2022] Open
Abstract
Background The effects of lockdown on non-COVID patients are varied and unexpected. The aim is to evaluate the burden of cardiac arrhythmias during a lockdown period because of COVID-19 pandemics in a population implanted with cardiac defibrillators and followed by remote monitoring. Methods In this retrospective, multicentre cohort study, we included 574 remotely monitored implantable cardioverter defibrillator (ICD) and cardiac resynchronization therapy-defibrillator (CRT-D) recipients implanted before January 1, 2019, at seven hospitals in the Campania region, comparing the burden of arrhythmias occurred during the lockdown period because of COVID-19 epidemics (from March 9 to May 1, 2020) with the arrhythmias burden of the corresponding period in 2019 (reference period). Data collection was performed through remote monitoring. Results During the lockdown period, we observed ventricular tachyarrhythmias (ventricular tachycardia or fibrillation) in 25 (4.8%) patients while in seasonal reference period we documented ventricular tachyarrhythmias in 12 (2.3%) patients; the comparison between the periods is statistically significant (P < .04). Atrial arrhythmias were detected in 38 (8.2%) subjects during the lockdown period and in 24 (5.2%) during the reference period (P < .004). Conclusion In seven hospitals in the Campania region, during the pandemic lockdown period, we observed a higher burden of arrhythmic events in ICD/CRT-D patients through device remote monitoring.
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Affiliation(s)
| | | | - Valter Bianchi
- Electrophysiology and Cardiac Pacing UnitMonaldi HospitalNaplesItaly
| | | | | | - Antonio Rapacciuolo
- Department of Advanced Biomedical SciencesFederico II University of NaplesNaplesItaly
| | - Vincenzo Russo
- Deparatment of CardiologyUniversity of Campania "Luigi Vanvitelli," Monaldi HospitalNaplesItaly
| | | | | | - Giuseppe Ammirati
- Department of Advanced Biomedical SciencesFederico II University of NaplesNaplesItaly
| | | | - Giovanni Papaccioli
- Deparatment of CardiologyUniversity of Campania "Luigi Vanvitelli," Monaldi HospitalNaplesItaly
| | | | | | - Antonio D'Onofrio
- Electrophysiology and Cardiac Pacing UnitMonaldi HospitalNaplesItaly
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Hillmann HAK, Soltani S, Mueller-Leisse J, Hohmann S, Duncker D. Cardiac Rhythm Monitoring Using Wearables for Clinical Guidance before and after Catheter Ablation. J Clin Med 2022; 11:2428. [PMID: 35566556 PMCID: PMC9100087 DOI: 10.3390/jcm11092428] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/19/2022] [Accepted: 04/23/2022] [Indexed: 12/02/2022] Open
Abstract
Mobile health technologies are gaining importance in clinical decision-making. With the capability to monitor the patient's heart rhythm, they have the potential to reduce the time to confirm a diagnosis and therefore are useful in patients eligible for screening of atrial fibrillation as well as in patients with symptoms without documented symptom rhythm correlation. Such is crucial to enable an adequate arrhythmia management including the possibility of a catheter ablation. After ablation, wearables can help to search for recurrences, in symptomatic as well as in asymptomatic patients. Furthermore, those devices can be used to search for concomitant arrhythmias and have the potential to help improving the short- and long-term patient management. The type of wearable as well as the adequate technology has to be chosen carefully for every situation and every individual patient, keeping different aspects in mind. This review aims to describe and to elaborate a potential workflow for the role of wearables for cardiac rhythm monitoring regarding detection and management of arrhythmias before and after cardiac electrophysiological procedures.
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Affiliation(s)
| | | | | | | | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, 30625 Hannover, Germany; (H.A.K.H.); (S.S.); (J.M.-L.); (S.H.)
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35
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Gabet A, Grave C, Tuppin P, Lesuffleur T, Guenancia C, Nguyen-Thanh V, Guignard R, Blacher J, Olié V. Nationwide Initiation of Cardiovascular Risk Treatments During the COVID-19 Pandemic in France: Women on a Slippery Slope? Front Cardiovasc Med 2022; 9:856689. [PMID: 35548431 PMCID: PMC9081923 DOI: 10.3389/fcvm.2022.856689] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 03/28/2022] [Indexed: 11/28/2022] Open
Abstract
Objectives This study examines the initiation of prescribed medication treatments for cardiovascular risk (antihypertensives, lipid-lowering drugs, oral anticoagulants in atrial fibrillation, and smoking cessation medications) during the COVID-19 pandemic in the French population. Methods For each year between 2017 and 2021, we used the French National Insurance Database to identify the number of people with at least one reimbursement for these medications but no reimbursement in the previous 12 months. We computed incidence rate ratios (IRRs) between 2017–2019 and, respectively 2020 and 2021 using Poisson regression adjusted for age and 2017–2019 time trends. We recorded the number of lipid profile blood tests, Holter electrocardiograms, and consultations with family physicians or cardiologists. Results In 2020, IRR significantly decreased for initiations of antihypertensives (−11.1%[CI95%, −11.4%;−10.8%]), lipid-lowering drugs (−5.2%[CI95%, −5.5%;−4.8%]), oral anticoagulants in atrial fibrillation (−8.6%[CI95%, −9.1%;−8.0%]), and smoking cessation medications (−50.9%[CI95%, −51.1%;−50.7%]) compared to 2017–2019. Larger decreases were found in women compared to men except for smoking cessation medications, with the sex difference increasing with age. Similar analyses comparing 2021 to 2017–2019 showed an increase in the initiation of lipid-lowering drugs (+ 11.6%[CI95%, 10.7%;12.5%]) but even lower rates for the other medications, particularly in women. In addition, the 2020 number of people visiting a family physician or cardiologist decreased by 8.4 and 7.4%. A higher decrease in these visits was observed in those over 65 years of age compared to those under 65 years of age. A greater use of teleconsultation was found in women. Conclusion The COVID-19 pandemic heavily impacted the initiation of medication treatments for cardiovascular risk in France, particularly in women and people over 65 years.
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Affiliation(s)
- Amélie Gabet
- Santé Publique France, Paris, France
- *Correspondence: Amélie Gabet,
| | | | | | | | | | | | | | - Jacques Blacher
- Centre de Diagnostic et de Thérapeutique, Hôtel-Dieu, AP-HP, Université de Paris, Paris, France
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Bonini N, Vitolo M, Imberti JF, Proietti M, Romiti GF, Boriani G, Paaske Johnsen S, Guo Y, Lip GYH. Mobile health technology in atrial fibrillation. Expert Rev Med Devices 2022; 19:327-340. [PMID: 35451347 DOI: 10.1080/17434440.2022.2070005] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Mobile health (mHealth) solutions in atrial fibrillation (AF) are becoming widespread, thanks to everyday life devices such as smartphones. Their use is validated both in monitoring and in screening scenarios. In the published literature, the diagnostic accuracy of mHealth solutions wide differs, and their current clinical use is not well established in principal guidelines. AREAS COVERED mHealth solutions have progressively built an AF-detection chain to guide patients from the device's alert signal to the health care practitioners' (HCPs) attention. This review aims to critically evaluate the latest evidence regarding mHealth devices and the future possible patient's uses in everyday life. EXPERT OPINION The patients are the first to be informed of the rhythm anomaly, leading to the urgency of increasing the patients' AF self-management. Furthermore, HCPs need to update themselves about mHealth devices use in clinical practice. Nevertheless, these are promising instruments in specific populations, such as post-stroke patients, to promote an early arrhythmia diagnosis in the post-ablation/cardioversion period, allowing checks on the efficacy of the treatment or intervention.
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Affiliation(s)
- Niccolò Bonini
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Marco Vitolo
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy.,Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Jacopo Francesco Imberti
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy.,Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Marco Proietti
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.,Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
| | - Giulio Francesco Romiti
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Department of Translational and Precision Medicine, Sapienza-University of Rome, Rome, Italy
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Søren Paaske Johnsen
- Danish Center for Clinical Health Services Research (DACS), Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Yutao Guo
- Department of Pulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Danish Center for Clinical Health Services Research (DACS), Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Wouters F, Gruwez H, Vranken J, Vanhaen D, Daelman B, Ernon L, Mesotten D, Vandervoort P, Verhaert D. The Potential and Limitations of Mobile Health and Insertable Cardiac Monitors in the Detection of Atrial Fibrillation in Cryptogenic Stroke Patients: Preliminary Results From the REMOTE Trial. Front Cardiovasc Med 2022; 9:848914. [PMID: 35498000 PMCID: PMC9043805 DOI: 10.3389/fcvm.2022.848914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 02/25/2022] [Indexed: 11/20/2022] Open
Abstract
Aim This paper presents the preliminary results from the ongoing REMOTE trial. It aims to explore the opportunities and hurdles of using insertable cardiac monitors (ICMs) and photoplethysmography-based mobile health (PPG-based mHealth) using a smartphone or smartwatch to detect atrial fibrillation (AF) in cryptogenic stroke and transient ischemic attack (TIA) patients. Methods and Results Cryptogenic stroke or TIA patients (n = 39) received an ICM to search for AF and were asked to use a blinded PPG-based mHealth application for 6 months simultaneously. They were randomized to smartphone or smartwatch monitoring. In total, 68,748 1-min recordings were performed using PPG-based mHealth. The number of mHealth recordings decreased significantly over time in both smartphone and smartwatch groups (p < 0.001 and p = 0.002, respectively). Insufficient signal quality was more frequently observed in smartwatch (43.3%) compared to smartphone recordings (17.8%, p < 0.001). However, when looking at the labeling of the mHealth recordings on a patient level, there was no significant difference in signal quality between both groups. Moreover, the use of a smartwatch resulted in significantly more 12-h periods (91.4%) that were clinically useful compared to smartphone users (84.8%) as they had at least one recording of sufficient signal quality. Simultaneously, continuous data was collected from the ICMs, resulting in approximately 6,660,000 min of data (i.e., almost a 100-fold increase compared to mHealth). The ICM algorithm detected AF and other cardiac arrhythmias in 10 and 19 patients, respectively. However, these were only confirmed after adjudication by the remote monitoring team in 1 (10%) and 5 (26.3%) patients, respectively. The confirmed AF was also detected by PPG-based mHealth. Conclusion Based on the preliminary observations, our paper illustrates the potential as well as the limitations of PPG-based mHealth and ICMs to detect AF in cryptogenic stroke and TIA patients in four elements: (i) mHealth was able to detect AF in a patient in which AF was confirmed on the ICM; (ii) Even state-of-the-art ICMs yielded many false-positive AF registrations; (iii) Both mHealth and ICM still require physician revision; and (iv) Blinding of the mHealth results impairs compliance and motivation.
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Affiliation(s)
- Femke Wouters
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
- *Correspondence: Femke Wouters,
| | - Henri Gruwez
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
- Department of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium
- Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Julie Vranken
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Dimitri Vanhaen
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Bo Daelman
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Ludovic Ernon
- Department of Neurology, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Dieter Mesotten
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department of Anesthesiology, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Pieter Vandervoort
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
- Department of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - David Verhaert
- Department of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium
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Isaksen JL, Baumert M, Hermans ANL, Maleckar M, Linz D. Artificial intelligence for the detection, prediction, and management of atrial fibrillation. Herzschrittmacherther Elektrophysiol 2022; 33:34-41. [PMID: 35147766 PMCID: PMC8853037 DOI: 10.1007/s00399-022-00839-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 01/17/2022] [Indexed: 11/07/2022]
Abstract
The present article reviews the state of the art of machine learning algorithms for the detection, prediction, and management of atrial fibrillation (AF), as well as of the development and evaluation of artificial intelligence (AI) in cardiology and beyond. Today, AI detects AF with a high accuracy using 12-lead or single-lead electrocardiograms or photoplethysmography. The prediction of paroxysmal or future AF currently operates at a level of precision that is too low for clinical use. Further studies are needed to determine whether patient selection for interventions may be possible with machine learning.
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Affiliation(s)
- Jonas L Isaksen
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mathias Baumert
- School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia
| | - Astrid N L Hermans
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Molly Maleckar
- Department of Computational Physiology, Simula Research Laboratory, Oslo, Norway
| | - Dominik Linz
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands.
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Lawin D, Albrecht UV, Oftring ZS, Lawrenz T, Stellbrink C, Kuhn S. [Mobile health for detection of atrial fibrillation-Status quo and perspectives]. Internist (Berl) 2022; 63:274-280. [PMID: 35147711 PMCID: PMC8832086 DOI: 10.1007/s00108-022-01267-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/13/2022] [Indexed: 11/24/2022]
Abstract
Mobile health (mHealth) for the detection of atrial fibrillation is an innovative domestic monitoring of the heart rhythm. The use of mHealth in the context of atrial fibrillation increases the availability of diagnostic technologies and facilitates the integration into telemedical treatment concepts as well as the active participation of patients in the treatment process. The detection of atrial fibrillation with mHealth applications is usually based on electrocardiography (ECG) or by detection of the pulse wave using photoplethysmography (PPG). Some applications require additional sensors, others make use of sensors integrated into smartphones or smartwatches. A high diagnostic accuracy for the detection of atrial fibrillation has been shown for most mHealth applications regardless of the underlying technology (analytical validation); however, the evidence on positive care effects and improvement of medical endpoints (clinical validation) is so far scarce. Screening of symptomatic or asymptomatic patients and the follow-up care after antiarrhythmic measures are possibilities for the integration into the reality of care. The preventive detection of atrial fibrillation is an attractive field of application for mHealth with great potential for the future. Nevertheless, at present mHealth is only integrated to a limited extent into the reality of patient care. Adequate reimbursement and medical remuneration as well as opportunities to derive information and qualification are prerequisites in order to be able to guarantee a comprehensive implementation in the future. The Digital Health Care Act passed in 2019, regulates the reimbursement of digital healthcare applications but issues of primary preventive applications have not yet been included.
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Affiliation(s)
- Dennis Lawin
- Arbeitsgruppe für Digitale Medizin, Medizinische Fakultät OWL der Universität Bielefeld, Universitätsstraße 25, 33615, Bielefeld, Deutschland.
- Klinik für Kardiologie und internistische Intensivmedizin, Universitätsklinikum OWL der Universität Bielefeld, Campus Klinikum Bielefeld, Teutoburger Straße 50, 33604, Bielefeld, Deutschland.
| | - Urs-Vito Albrecht
- Arbeitsgruppe für Digitale Medizin, Medizinische Fakultät OWL der Universität Bielefeld, Universitätsstraße 25, 33615, Bielefeld, Deutschland
| | - Zoe Sophie Oftring
- Arbeitsgruppe für Digitale Medizin, Medizinische Fakultät OWL der Universität Bielefeld, Universitätsstraße 25, 33615, Bielefeld, Deutschland
| | - Thorsten Lawrenz
- Klinik für Kardiologie und internistische Intensivmedizin, Universitätsklinikum OWL der Universität Bielefeld, Campus Klinikum Bielefeld, Teutoburger Straße 50, 33604, Bielefeld, Deutschland
| | - Christoph Stellbrink
- Klinik für Kardiologie und internistische Intensivmedizin, Universitätsklinikum OWL der Universität Bielefeld, Campus Klinikum Bielefeld, Teutoburger Straße 50, 33604, Bielefeld, Deutschland
| | - Sebastian Kuhn
- Arbeitsgruppe für Digitale Medizin, Medizinische Fakultät OWL der Universität Bielefeld, Universitätsstraße 25, 33615, Bielefeld, Deutschland
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Wei L, Hou S, Liu Q. Clinical Care of Hyperthyroidism Using Wearable Medical Devices in a Medical IoT Scenario. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:5951326. [PMID: 35251571 PMCID: PMC8890839 DOI: 10.1155/2022/5951326] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/14/2022] [Accepted: 01/20/2022] [Indexed: 01/30/2023]
Abstract
This paper presents an in-depth study and analysis of clinical care of patients with hyperthyroidism using wearable medical devices in the context of medical IoT scenarios. According to the use scenario of the gateway and the connectivity of the equipment, the hardware architecture, hardware interfaces, functionality, and performance of the gateway were briefly designed, so as to monitor patients with hyperthyroidism more comprehensively and save labor costs. The gateway can provide access to different devices and adaptation functions to different hardware interfaces and provide hardware support for the subsequent deployment of the proposed new medical communication protocols and related information systems. A medical data convergence information system based on multidevice management and multiprotocol parsing was designed and implemented. The system enables the management and configuration of different medical devices and access to data through the targeted parsing of the underlying medical device communication protocols. The system also provides the automatic adaptation of multiple types of underlying medical device communication protocols and automatic parsing of multiple versions and can provide multiple devices to process fused data streams or device information and data from a single device. The use of event-driven asynchronous communication eliminates the tight dependency on service invocation in the synchronous communication approach. The use of a metadata-based data model structure enables model extensions to accommodate the impact of iterative business requirements on the database structure. Real-time patient physiological data transmission for intraoperative monitoring based on the MQTT protocol and video transmission for intraoperative patient monitoring based on the RTMP protocol were implemented. The development of the intelligent medical monitoring service system was completed, and the system was tested, optimized, and deployed. The functionality and performance of the system were tested, the performance issue of slow query speed was optimized, and the deployment of the project using Docker containers was automated.
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Affiliation(s)
- Lili Wei
- Department of Radiology, Tangshan Gongren Hospital, Tangshan, Hebei 063000, China
| | - Sujuan Hou
- Department of Radiology, Tangshan Gongren Hospital, Tangshan, Hebei 063000, China
| | - Qiuxia Liu
- Department of Radiology, Tangshan Gongren Hospital, Tangshan, Hebei 063000, China
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Hermans ANL, Gawałko M, Hillmann HAK, Sohaib A, van der Velden RMJ, Betz K, Verhaert D, Scherr D, Meier J, Sultan A, Steven D, Terentieva E, Pisters R, Hemels M, Voorhout L, Lodziński P, Krzowski B, Gupta D, Kozhuharov N, Gruwez H, Vernooy K, Pluymaekers NAHA, Hendriks JM, Manninger M, Duncker D, Linz D. Self-Reported Mobile Health-Based Risk Factor and CHA 2DS 2-VASc-Score Assessment in Patients With Atrial Fibrillation: TeleCheck-AF Results. Front Cardiovasc Med 2022; 8:757587. [PMID: 35127847 PMCID: PMC8809453 DOI: 10.3389/fcvm.2021.757587] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 12/13/2021] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION The TeleCheck-AF approach is an on-demand mobile health (mHealth) infrastructure incorporating mobile app-based heart rate and rhythm monitoring through teleconsultation. We evaluated feasibility and accuracy of self-reported mHealth-based AF risk factors and CHA2DS2-VASc-score in atrial fibrillation (AF) patients managed within this approach. MATERIALS AND METHODS Consecutive patients from eight international TeleCheck-AF centers were asked to complete an app-based 10-item questionnaire related to risk factors, associated conditions and CHA2DS2-VASc-score components. Patient's medical history was retrieved from electronic health records (EHR). RESULTS Among 994 patients, 954 (96%) patients (38% female, median age 65 years) completed the questionnaire and were included in this analysis. The accuracy of self-reported assessment was highest for pacemaker and anticoagulation treatment and lowest for heart failure and arrhythmias. Patients who knew that AF increases the stroke risk, more often had a 100% or ≥80% correlation between EHR- and app-based results compared to those who did not know (27 vs. 14% or 84 vs. 77%, P = 0.001). Thromboembolic events were more often reported in app (vs. EHR) in all countries, whereas higher self-reported hypertension and anticoagulant treatment were observed in Germany and heart failure in the Netherlands. If the app-based questionnaire alone was used for clinical decision-making on anticoagulation initiation, 26% of patients would have been undertreated and 6.1%-overtreated. CONCLUSION Self-reported mHealth-based assessment of AF risk factors is feasible. It shows high accuracy of pacemaker and anticoagulation treatment, nevertheless, displays limited accuracy for some of the CHA2DS2-VASc-score components. Direct health care professional assessment of risk factors remains indispensable to ensure high quality clinical-decision making.
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Affiliation(s)
- Astrid N. L. Hermans
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
| | - Monika Gawałko
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
- Institute of Pharmacology, West German Heart and Vascular Center, University Duisburg-Essen, Essen, Germany
- 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Henrike A. K. Hillmann
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Afzal Sohaib
- Barts Heart Center, St Bartholomew's Hospital, London, United Kingdom
- Department of Cardiology, King George Hospital, Ilford, United Kingdom
| | - Rachel M. J. van der Velden
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
| | - Konstanze Betz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
| | - Dominique Verhaert
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
- Department of Cardiology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Daniel Scherr
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
- Department of Cardiology, University Clinic of Medicine, Medical University of Graz, Graz, Austria
| | - Julia Meier
- Department of Cardiology, University Clinic of Medicine, Medical University of Graz, Graz, Austria
| | - Arian Sultan
- Department of Electrophysiology, University of Cologne, Heart Center, Cologne, Germany
| | - Daniel Steven
- Department of Electrophysiology, University of Cologne, Heart Center, Cologne, Germany
| | - Elena Terentieva
- Department of Electrophysiology, University of Cologne, Heart Center, Cologne, Germany
| | - Ron Pisters
- Department of Cardiology, Rijnstate Hospital, Arnhem, Netherlands
| | - Martin Hemels
- Department of Cardiology, Radboud University Medical Center, Nijmegen, Netherlands
- Department of Cardiology, Rijnstate Hospital, Arnhem, Netherlands
| | - Leonard Voorhout
- Department of Cardiology, Rijnstate Hospital, Arnhem, Netherlands
| | - Piotr Lodziński
- 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Bartosz Krzowski
- 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Dhiraj Gupta
- Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
| | - Nikola Kozhuharov
- Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
- Department of Cardiology and Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Henri Gruwez
- Department of Cardiology, Hospital East-Limburg, Genk, Belgium
- Department of Cardiovascular Sciences, University Hospitals Leuven, Leuven, Belgium
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
| | - Nikki A. H. A. Pluymaekers
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
| | - Jeroen M. Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
- Center for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Martin Manninger
- Department of Cardiology, University Clinic of Medicine, Medical University of Graz, Graz, Austria
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
- Department of Cardiology, Radboud University Medical Center, Nijmegen, Netherlands
- Center for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, SA, Australia
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Linz D, Verheule S, Isaacs A, Schotten U. Considerations for the Assessment of Substrates, Genetics and Risk Factors in Patients with Atrial Fibrillation. Arrhythm Electrophysiol Rev 2021; 10:132-139. [PMID: 34777816 PMCID: PMC8576487 DOI: 10.15420/aer.2020.51] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 06/16/2021] [Indexed: 12/25/2022] Open
Abstract
Successful translation of research focussing on atrial arrhythmogenic mechanisms has potential to provide a mechanism-tailored classification and to support personalised treatment approaches in patients with AF. The clinical uptake and clinical implementation of new diagnostic techniques and treatment strategies require translational research approaches on various levels. Diagnostic translation involves the development of clinical diagnostic tools. Additionally, multidisciplinary teams are required for collaborative translation to describe genetic mechanisms, molecular pathways, electrophysiological characteristics and concomitant risk factors. In this article, current approaches for AF substrate characterisation, analysis of genes potentially involved in AF and strategies for AF risk factor assessment are summarised. The authors discuss challenges and obstacles to clinical translation and implementation into clinical practice.
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Affiliation(s)
- Dominik Linz
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University and Maastricht University Medical Center+, Maastricht, the Netherlands.,Department of Cardiology, Radboud University Medical Centre, Nijmegen, the Netherlands.,Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Sander Verheule
- Department of Physiology, Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Aaron Isaacs
- Department of Physiology, Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Ulrich Schotten
- Department of Physiology, Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
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Verhaert DVM, Betz K, Gawałko M, Hermans ANL, Pluymaekers NAHA, van der Velden RMJ, Philippens S, Vorstermans B, Simons SO, den Uijl DW, Chaldoupi SM, Luermans JGLM, Westra SW, Lankveld T, Kadhim K, Pepin JL, van Steenwijk RP, Hol B, Schotten U, Sanders P, Vernooy K, Hendriks JM, Linz D. A VIRTUAL Sleep Apnoea management pathway For the work-up of Atrial fibrillation patients in a digital Remote Infrastructure: VIRTUAL-SAFARI. Europace 2021; 24:565-575. [PMID: 34718525 DOI: 10.1093/europace/euab229] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/10/2021] [Indexed: 11/14/2022] Open
Abstract
AIMS In atrial fibrillation (AF) patients, untreated sleep-disordered breathing (SDB) is associated with lower success rates of rhythm control strategies and as such structured SDB testing is recommended. Herein, we describe the implementation of a virtual SDB management pathway in an AF outpatient clinic and examine the utility and feasibility of this new approach. METHODS AND RESULTS Prospectively, consecutive AF patients accepted for AF catheter ablation procedures without previous diagnosis of SDB were digitally referred to a virtual SDB management pathway and instructed to use WatchPAT-ONE (ITAMAR) for one night. Results were automatically transferred to a virtual sleep laboratory, upon which a teleconsultation with a sleep physician was planned. Patient experience was measured using surveys. SDB testing was performed in 119 consecutive patients scheduled for AF catheter ablation procedures. The median time from digital referral to finalization of the sleep study report was 18 [11-24] days. In total, 65 patients (55%) were diagnosed with moderate-to-severe SDB. Patients with SDB were prescribed more cardiovascular drugs and had higher body mass indices (BMI, 29 ± 3.3 vs. 27 ± 4.4kg/m2, P < 0.01). Patients agreed that WatchPAT-ONE was easy to use (91%) and recommended future use of this virtual pathway in AF outpatient clinics (86%). Based on this remote SDB testing, SDB treatment was recommended in the majority of patients. CONCLUSION This novel virtual AF management pathway allowed remote SDB testing in AF outpatient clinics with a short time to diagnosis and high patient satisfaction. Structured SDB testing results in a high detection of previously unknown SDB in AF patients scheduled for AF ablation.
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Affiliation(s)
- Dominique V M Verhaert
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Center and Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Konstanze Betz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Monika Gawałko
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands.,1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland.,Institute of Pharmacology, West German Heart and Vascular Centre, University Duisburg-Essen, Germany
| | - Astrid N L Hermans
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Nikki A H A Pluymaekers
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Suzanne Philippens
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Bianca Vorstermans
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Sami O Simons
- Department of Respiratory Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Dennis W den Uijl
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Sevasti-Maria Chaldoupi
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Justin G L M Luermans
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Sjoerd W Westra
- Department of Cardiology, Radboud University Medical Center and Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Theo Lankveld
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Kadhim Kadhim
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Jean-Louis Pepin
- Université Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble, France
| | | | - Bernard Hol
- Netherland Sleep Institute, Amersfoort, The Netherlands
| | - Ulrich Schotten
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
| | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Center and Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Jeroen M Hendriks
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia.,Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Center and Radboud Institute for Health Sciences, Nijmegen, The Netherlands.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia.,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Hendriks JM, Spreeuwenberg MD, Linz D. Mobile health and cardiac arrhythmias: patient self-management in digital care pathways. Eur J Cardiovasc Nurs 2021; 20:631-632. [PMID: 34472602 DOI: 10.1093/eurjcn/zvab075] [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: 08/05/2021] [Accepted: 08/17/2021] [Indexed: 11/14/2022]
Affiliation(s)
- Jeroen M Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Sturt Road, Bedford Park, Adelaide, SA 5042, Australia.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, North Terrace, Adelaide, SA 5000, Australia
| | - Marieke D Spreeuwenberg
- Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health Medicine and Life Sciences, Maastricht University, Duboisdomein 30, Maastricht 6229 GT, The Netherlands
| | - Dominik Linz
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, North Terrace, Adelaide, SA 5000, Australia.,Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, Maastricht 6229 HX, The Netherlands.,Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein 28, Nijmegen 6525 GA, The Netherlands.,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Copenhagen 2200, Denmark
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Hermans ANL, Gawalko M, Dohmen L, van der Velden RMJ, Betz K, Verhaert DVM, Pluymaekers NAHA, Hendriks JM, Linz D. A systematic review of mobile health opportunities for atrial fibrillation detection and management. Eur J Prev Cardiol 2021; 29:e205-e208. [PMID: 34550370 DOI: 10.1093/eurjpc/zwab158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Astrid N L Hermans
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands
| | - Monika Gawalko
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands.,Institute of Pharmacology, West German Heart and Vascular Centre, University Duisburg-Essen, Hufelandstraße 55, Essen 45147, Germany.,1st Department of Cardiology, Medical University of Warsaw, Banacha 1A, 02-197 Warsaw, Poland
| | - Lisa Dohmen
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands
| | - Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands
| | - Konstanze Betz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands
| | - Dominique V M Verhaert
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands.,Department of Cardiology, Radboud University Medical Center and Radboud Institute for Health Sciences, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Nikki A H A Pluymaekers
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands
| | - Jeroen M Hendriks
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, 1 Port Road, SA 5000 Adelaide, Australia.,Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Sturt North Sturt Rd, Bedford Park SA 5042, Adelaide, Australia
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands.,Department of Cardiology, Radboud University Medical Center and Radboud Institute for Health Sciences, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, 1 Port Road, SA 5000 Adelaide, Australia.,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
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Gruwez H, Evens S, Proesmans T, Duncker D, Linz D, Heidbuchel H, Manninger M, Vandervoort P, Haemers P, Pison L. Accuracy of Physicians Interpreting Photoplethysmography and Electrocardiography Tracings to Detect Atrial Fibrillation: INTERPRET-AF. Front Cardiovasc Med 2021; 8:734737. [PMID: 34616786 PMCID: PMC8488290 DOI: 10.3389/fcvm.2021.734737] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 08/23/2021] [Indexed: 11/25/2022] Open
Abstract
Aims: This study aims to compare the performance of physicians to detect atrial fibrillation (AF) based on photoplethysmography (PPG), single-lead ECG and 12-lead ECG, and to explore the incremental value of PPG presentation as a tachogram and Poincaré plot, and of algorithm classification for interpretation by physicians. Methods and Results: Email invitations to participate in an online survey were distributed among physicians to analyse almost simultaneously recorded PPG, single-lead ECG and 12-lead ECG traces from 30 patients (10 in sinus rhythm (SR), 10 in SR with ectopic beats and 10 in AF). The task was to classify the readings as 'SR', 'ectopic/missed beats', 'AF', 'flutter' or 'unreadable'. Sixty-five physicians detected or excluded AF based on the raw PPG waveforms with 88.8% sensitivity and 86.3% specificity. Additional presentation of the tachogram plus Poincaré plot significantly increased sensitivity and specificity to 95.5% (P < 0.001) and 92.5% (P < 0.001), respectively. The algorithm information did not further increase the accuracy to detect AF (sensitivity 97.5%, P = 0.556; specificity 95.0%, P = 0.182). Physicians detected AF on single-lead ECG tracings with 91.2% sensitivity and 93.9% specificity. Diagnostic accuracy was also not optimal on full 12-lead ECGs (93.9 and 98.6%, respectively). Notably, there was no significant difference between the performance of PPG waveform plus tachogram and Poincaré, compared to a single-lead ECG to detect or exclude AF (sensitivity P = 0.672; specificity P = 0.536). Conclusion: Physicians can detect AF on a PPG output with equivalent accuracy compared to single-lead ECG, if the PPG waveforms are presented together with a tachogram and Poincaré plot and the quality of the recordings is high.
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Affiliation(s)
- Henri Gruwez
- Department of Cardiology, Hospital East-Limburg, Genk, Belgium
- Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
- Doctoral School of Medicine and Life Science, Hasselt University, Hasselt, Belgium
| | | | | | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hanover, Germany
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
| | - Hein Heidbuchel
- Department of Cardiology, Antwerp University Hospital and Antwerp University, Antwerp, Belgium
| | - Martin Manninger
- Department of Cardiology, Medical University of Graz, Graz, Austria
| | | | - Peter Haemers
- Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Laurent Pison
- Department of Cardiology, Hospital East-Limburg, Genk, Belgium
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Hendriks JM, Lee G, Desteghe L, Linz D. Sleep apnoea management in atrial fibrillation in clinical practice: key messages for health care professionals based on a joint survey by EHRA and ACNAP. Eur J Cardiovasc Nurs 2021; 21:641-642. [PMID: 34524451 DOI: 10.1093/eurjcn/zvab082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 08/31/2021] [Indexed: 11/13/2022]
Affiliation(s)
- Jeroen M Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Sturt Road, Bedford Park, Adelaide, SA 5042, Australia.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, North Terrace, Adelaide, SA 5000, Australia
| | - Geraldine Lee
- Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, Kings College London, 57 Waterloo Road, London SE1 8WA, UK
| | - Lien Desteghe
- Research Group Cardiovascular Diseases, University of Antwerp, Prinsstraat 13, Antwerp 2000, Belgium.,Antwerp University Hospital, Drie Eikenstraat 655, Edegem 2650, Belgium.,Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, Hasselt 3500, Belgium.,Heart Centre Hasselt, Jessa Hospital, Stadsomvaart 11, Hasselt 3500, Belgium
| | - Dominik Linz
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, North Terrace, Adelaide, SA 5000, Australia.,Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, P. Debyelaan 25, Maastricht 6229 HX, The Netherlands.,Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein 28, Nijmegen 6525 GA, the Netherlands.,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Copenhagen DK-2200, Denmark
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Betz K, van der Velden R, Gawalko M, Hermans A, Pluymaekers N, Hillmann HAK, Hendriks J, Duncker D, Linz D. [Interpretation of photoplethysmography: a step-by-step guide]. Herzschrittmacherther Elektrophysiol 2021; 32:406-411. [PMID: 34304276 PMCID: PMC8310409 DOI: 10.1007/s00399-021-00795-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 06/30/2021] [Indexed: 11/05/2022]
Abstract
By applying photoplethysmography (PPG), the camera of the mobile phone can be used to remotely assess heart rate and rhythm, which was widely used in conjunction with teleconsultations within the TeleCheck-AF project during the coronavirus disease 2019 (COVID-19) pandemic. Herein, we provide an educational, structured, stepwise practical guide on how to interpret PPG signals. A better understanding of PPG recordings is critical for the implementation of this widely available technology into clinical practice.
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Affiliation(s)
- Konstanze Betz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht UMC+, 6202 AZ, Maastricht, Niederlande
| | - Rachel van der Velden
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht UMC+, 6202 AZ, Maastricht, Niederlande
| | - Monika Gawalko
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht UMC+, 6202 AZ, Maastricht, Niederlande
| | - Astrid Hermans
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht UMC+, 6202 AZ, Maastricht, Niederlande
| | - Nikki Pluymaekers
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht UMC+, 6202 AZ, Maastricht, Niederlande
| | - Henrike A K Hillmann
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Deutschland
| | - Jeroen Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australien
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, Niederlande
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Deutschland
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht UMC+, 6202 AZ, Maastricht, Niederlande.
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, Niederlande.
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australien.
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Kopenhagen, Dänemark.
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49
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Gawałko M, Duncker D, Manninger M, van der Velden RMJ, Hermans ANL, Verhaert DVM, Pison L, Pisters R, Hemels M, Sultan A, Steven D, Gupta D, Heidbuchel H, Sohaib A, Wijtvliet P, Tieleman R, Gruwez H, Chun J, Schmidt B, Keaney JJ, Müller P, Lodziński P, Svennberg E, Hoekstra O, Jansen WPJ, Desteghe L, de Potter T, Tomlinson DR, Neubeck L, Crijns HJGM, Pluymaekers NAHA, Hendriks JM, Linz D. The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: centre and patient experiences. Europace 2021; 23:1003-1015. [PMID: 33822029 PMCID: PMC8083545 DOI: 10.1093/europace/euab050] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 02/19/2021] [Indexed: 01/10/2023] Open
Abstract
Aims TeleCheck-AF is a multicentre international project initiated to maintain care delivery for patients with atrial fibrillation (AF) during COVID-19 through teleconsultations supported by an on-demand photoplethysmography-based heart rate and rhythm monitoring app (FibriCheck®). We describe the characteristics, inclusion rates, and experiences from participating centres according the TeleCheck-AF infrastructure as well as characteristics and experiences from recruited patients. Methods and results Three surveys exploring centre characteristics (n = 25), centre experiences (n = 23), and patient experiences (n = 826) were completed. Self-reported patient characteristics were obtained from the app. Most centres were academic (64%) and specialized public cardiology/district hospitals (36%). Majority of the centres had AF outpatient clinics (64%) and only 36% had AF ablation clinics. The time required to start patient inclusion and total number of included patients in the project was comparable for centres experienced (56%) or inexperienced in mHealth use. Within 28 weeks, 1930 AF patients were recruited, mainly for remote AF control (31% of patients) and AF ablation follow-up (42%). Average inclusion rate was highest during the lockdown restrictions and reached a steady state at a lower level after easing the restrictions (188 vs. 52 weekly recruited patients). Majority (>80%) of the centres reported no problems during the implementation of the TeleCheck-AF approach. Recruited patients [median age 64 (55–71), 62% male] agreed that the FibriCheck® app was easy to use (94%). Conclusion Despite different health care settings and mobile health experiences, the TeleCheck-AF approach could be set up within an extremely short time and easily used in different European centres during COVID-19.
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Affiliation(s)
- Monika Gawałko
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands.,1st Department of Cardiology, Doctoral School, Medical University of Warsaw, Warsaw, Poland
| | - David Duncker
- Department of Cardiology and Angiology, Hannover Heart Rhythm Center, Hannover Medical School, Hannover, Germany
| | - Martin Manninger
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Rachel M J van der Velden
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands
| | - Astrid N L Hermans
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands
| | | | | | - Ron Pisters
- Department of Cardiology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Martin Hemels
- Department of Cardiology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Arian Sultan
- Department of Electrophysiology, University of Cologne, Heart Centre, Cologne, Germany
| | - Daniel Steven
- Department of Electrophysiology, University of Cologne, Heart Centre, Cologne, Germany
| | - Dhiraj Gupta
- Department of Cardiology, Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Hein Heidbuchel
- Antwerp University and University Hospital, Antwerp, Belgium
| | | | - Petra Wijtvliet
- Department of Cardiology, Martini Hospital, Groningen, The Netherlands
| | - Robert Tieleman
- Department of Cardiology, Martini Hospital, Groningen, The Netherlands
| | | | - Julian Chun
- Cardioangiologisches Centrum Bethanien, Frankfurt, Germany
| | - Boris Schmidt
- Cardioangiologisches Centrum Bethanien, Frankfurt, Germany
| | - John J Keaney
- Mater Misericordiae University Hospital, Dublin, Ireland
| | - Patrick Müller
- Department of Cardiology II-Electrophysiology, University Hospital of Münster, Münster, Germany
| | - Piotr Lodziński
- 1st Department of Cardiology, Doctoral School, Medical University of Warsaw, Warsaw, Poland
| | - Emma Svennberg
- Department of Clinical Sciences, Karolinska Institutet, Danderyd's University Hospital, Stockholm, Sweden.,Deptartment of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | | | | | - Lien Desteghe
- Antwerp University Hospital and Antwerp University, Antwerp, Belgium.,Hasselt University and Jessa Hospital, Hasselt, Belgium
| | - Tom de Potter
- Cardiovascular Center, Onze Lieve Vrouwziekenhuis, Aalst, Belgium
| | | | - Lis Neubeck
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
| | - Harry J G M Crijns
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands
| | - Nikki A H A Pluymaekers
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands
| | - Jeroen M Hendriks
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia.,Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht, 6202 AZ Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia.,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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50
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Strik M, Ploux S, Ramirez FD, Abu-Alrub S, Jaîs P, Haïssaguerre M, Bordachar P. Smartwatch-based detection of cardiac arrhythmias: Beyond the differentiation between sinus rhythm and atrial fibrillation. Heart Rhythm 2021; 18:1524-1532. [PMID: 34147700 DOI: 10.1016/j.hrthm.2021.06.1176] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/08/2021] [Accepted: 06/11/2021] [Indexed: 12/19/2022]
Abstract
Within the span of a few years, watches have functionally morphed from objects that tell time to wearable minicomputers that allow real-time recording of electrocardiograms (ECGs). Considerable information can be deduced from these single lead tracings, and it is now not uncommon to see patients in whom diagnostic tracings of clinically relevant but elusive arrhythmias are captured using a smartwatch. Empowering individuals to record their own ECG tracings in scenarios such as palpitations, syncope, and for risk stratification of sudden death intuitively has considerable potential, but its value remains to be robustly demonstrated. The main objective of this review is to describe the information that can be obtained from smartwatch-based single-lead ECG recordings beyond simply differentiating between sinus rhythm and atrial fibrillation. We also review the strengths and limitations of using these devices in clinical settings and offer potential solutions to address the latter.
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Affiliation(s)
- Marc Strik
- Bordeaux University Hospital (CHU), Cardio-Thoracic Unit, Pessac, France; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France.
| | - Sylvain Ploux
- Bordeaux University Hospital (CHU), Cardio-Thoracic Unit, Pessac, France; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France
| | - F Daniel Ramirez
- Bordeaux University Hospital (CHU), Cardio-Thoracic Unit, Pessac, France; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France; Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Saer Abu-Alrub
- Bordeaux University Hospital (CHU), Cardio-Thoracic Unit, Pessac, France; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France
| | - Pierre Jaîs
- Bordeaux University Hospital (CHU), Cardio-Thoracic Unit, Pessac, France; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France
| | - Michel Haïssaguerre
- Bordeaux University Hospital (CHU), Cardio-Thoracic Unit, Pessac, France; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France
| | - Pierre Bordachar
- Bordeaux University Hospital (CHU), Cardio-Thoracic Unit, Pessac, France; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France
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