1
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Tan VH, See Tow HX, Fong KY, Wang Y, Yeo C, Ching CK, Lim TW. Remote monitoring of cardiac implantable electronic devices using smart device interface versus radiofrequency-based interface: A systematic review. J Arrhythm 2024; 40:596-604. [PMID: 38939794 PMCID: PMC11199811 DOI: 10.1002/joa3.13054] [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: 03/22/2024] [Revised: 04/20/2024] [Accepted: 04/23/2024] [Indexed: 06/29/2024] Open
Abstract
Background Guidelines recommended remote monitoring (RM) in managing patients with Cardiac Implantable Electronic Devices. In recent years, smart device (phone or tablet) monitoring-based RM (SM-RM) was introduced. This study aims to systematically review SM-RM versus bedside monitor RM (BM-RM) using radiofrequency in terms of compliance, connectivity, and episode transmission time. Methods We conducted a systematic review, searching three international databases from inception until July 2023 for studies comparing SM-RM (intervention group) versus BM-RM (control group). Results Two matched studies (21 978 patients) were retrieved (SM-RM arm: 9642 patients, BM-RM arm: 12 336 patients). There is significantly higher compliance among SM-RM patients compared with BM-RM patients in both pacemaker and defibrillator patients. Manyam et al. found that more SM-RM patients than BM-RM patients transmitted at least once (98.1% vs. 94.3%, p < .001), and Tarakji et al. showed that SM-RM patients have higher success rates of scheduled transmissions than traditional BM-RM methods (SM-RM: 94.6%, pacemaker manual: 56.3%, pacemaker wireless: 77.0%, defibrillator wireless: 87.1%). There were higher enrolment rates, completed scheduled and patient-initiated transmissions, shorter episode transmission time, and higher connectivity among SM-RM patients compared to BM-RM patients. Younger patients (aged <75) had more patient-initiated transmissions, and a higher proportion had ≥10 transmissions compared with older patients (aged ≥75) in both SM-RM and BM-RM groups. Conclusion SM-RM is a step in the right direction, with good compliance, connectivity, and shorter episode transmission time, empowering patients to be in control of their health. Further research on cost-effectiveness and long-term clinical outcomes can be carried out.
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Affiliation(s)
- Vern Hsen Tan
- Department of CardiologyChangi General HospitalSingaporeSingapore
| | - Hui Xin See Tow
- Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Khi Yung Fong
- Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Yue Wang
- Department of CardiologyChangi General HospitalSingaporeSingapore
| | - Colin Yeo
- Department of CardiologyChangi General HospitalSingaporeSingapore
| | - Chi Keong Ching
- Department of CardiologyNational Heart Centre SingaporeSingaporeSingapore
| | - Toon Wei Lim
- Department of CardiologyNational University Heart Centre SingaporeSingaporeSingapore
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2
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Preda A, Falco R, Tognola C, Carbonaro M, Vargiu S, Gallazzi M, Baroni M, Gigli L, Varrenti M, Colombo G, Zanotto G, Giannattasio C, Mazzone P, Guarracini F. Contemporary Advances in Cardiac Remote Monitoring: A Comprehensive, Updated Mini-Review. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:819. [PMID: 38793002 PMCID: PMC11122881 DOI: 10.3390/medicina60050819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/09/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024]
Abstract
Over the past decade, remote monitoring (RM) has become an increasingly popular way to improve healthcare and health outcomes. Modern cardiac implantable electronic devices (CIEDs) are capable of recording an increasing amount of data related to CIED function, arrhythmias, physiological status and hemodynamic parameters, providing in-depth and updated information on patient cardiovascular function. The extensive use of RM for patients with CIED allows for early diagnosis and rapid assessment of relevant issues, both clinical and technical, as well as replacing outpatient follow-up improving overall management without compromise safety. This approach is recommended by current guidelines for all eligible patients affected by different chronic cardiac conditions including either brady- and tachy-arrhythmias and heart failure. Beyond to clinical advantages, RM has demonstrated cost-effectiveness and is associated with elevated levels of patient satisfaction. Future perspectives include improving security, interoperability and diagnostic power as well as to engage patients with digital health technology. This review aims to update existing data concerning clinical outcomes in patients managed with RM in the wide spectrum of cardiac arrhythmias and Hear Failure (HF), disclosing also about safety, effectiveness, patient satisfaction and cost-saving.
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Affiliation(s)
- Alberto Preda
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
| | - Raffaele Falco
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
| | - Chiara Tognola
- Clinical Cardiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy
| | - Marco Carbonaro
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
| | - Sara Vargiu
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
| | - Michela Gallazzi
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
| | - Matteo Baroni
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
| | - Lorenzo Gigli
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
| | - Marisa Varrenti
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
| | - Giulia Colombo
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
| | - Gabriele Zanotto
- Department of Cardiology, Ospedale Magalini di Villafranca, 37069 Villafranca di Verona, Italy
| | - Cristina Giannattasio
- Clinical Cardiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Patrizio Mazzone
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
| | - Fabrizio Guarracini
- Electrophysiology Unit, De Gasperis Cardio Center, Niguarda Hospital, 20162 Milan, Italy (M.V.)
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3
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Tedeschi A, Palazzini M, Trimarchi G, Conti N, Di Spigno F, Gentile P, D’Angelo L, Garascia A, Ammirati E, Morici N, Aschieri D. Heart Failure Management through Telehealth: Expanding Care and Connecting Hearts. J Clin Med 2024; 13:2592. [PMID: 38731120 PMCID: PMC11084728 DOI: 10.3390/jcm13092592] [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: 03/28/2024] [Revised: 04/21/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
Heart failure (HF) is a leading cause of morbidity worldwide, imposing a significant burden on deaths, hospitalizations, and health costs. Anticipating patients' deterioration is a cornerstone of HF treatment: preventing congestion and end organ damage while titrating HF therapies is the aim of the majority of clinical trials. Anyway, real-life medicine struggles with resource optimization, often reducing the chances of providing a patient-tailored follow-up. Telehealth holds the potential to drive substantial qualitative improvement in clinical practice through the development of patient-centered care, facilitating resource optimization, leading to decreased outpatient visits, hospitalizations, and lengths of hospital stays. Different technologies are rising to offer the best possible care to many subsets of patients, facing any stage of HF, and challenging extreme scenarios such as heart transplantation and ventricular assist devices. This article aims to thoroughly examine the potential advantages and obstacles presented by both existing and emerging telehealth technologies, including artificial intelligence.
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Affiliation(s)
- Andrea Tedeschi
- Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy; (F.D.S.); (D.A.)
| | - Matteo Palazzini
- “De Gasperis” Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy; (M.P.); (N.C.); (P.G.); (L.D.); (A.G.); (E.A.)
| | - Giancarlo Trimarchi
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy;
| | - Nicolina Conti
- “De Gasperis” Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy; (M.P.); (N.C.); (P.G.); (L.D.); (A.G.); (E.A.)
| | - Francesco Di Spigno
- Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy; (F.D.S.); (D.A.)
| | - Piero Gentile
- “De Gasperis” Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy; (M.P.); (N.C.); (P.G.); (L.D.); (A.G.); (E.A.)
| | - Luciana D’Angelo
- “De Gasperis” Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy; (M.P.); (N.C.); (P.G.); (L.D.); (A.G.); (E.A.)
| | - Andrea Garascia
- “De Gasperis” Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy; (M.P.); (N.C.); (P.G.); (L.D.); (A.G.); (E.A.)
| | - Enrico Ammirati
- “De Gasperis” Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy; (M.P.); (N.C.); (P.G.); (L.D.); (A.G.); (E.A.)
| | - Nuccia Morici
- IRCCS Fondazione Don Carlo Gnocchi, 20148 Milan, Italy;
| | - Daniela Aschieri
- Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy; (F.D.S.); (D.A.)
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4
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Sadri H, Fraser ND. The role of innovative technologies in reducing health system inequity. Healthc Manage Forum 2024; 37:101-107. [PMID: 37861228 DOI: 10.1177/08404704231207509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
The scarcity of Health Human Resources (HHR), regional disparities, and decentralized healthcare systems have profoundly affected health equity in Canada. Adequate HHR allocation is essential for equitable healthcare delivery, and the COVID-19 pandemic has revealed the importance of resilient and culturally diverse organizational HHR. Geography and infrastructure shortcomings aggravate healthcare equity. This study examines the role of innovative technologies in reducing inequity and provides four practice-based examples in different therapeutic areas. Long-term solutions such as collaborative networks, infrastructure improvements, and effective HHR planning can mitigate current challenges. However, in the short and medium terms, advanced medical technologies, digital health, and artificial intelligence can reduce health inequities by improving access, reducing disparities, optimizing resource utilization, and providing skill development opportunities for healthcare professionals.
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Affiliation(s)
| | - Neil D Fraser
- Independent MedTech Consultant, Toronto, Ontario, Canada
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5
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Zafar H, Neelam-Naganathan D, Middleton JT, Binmahfooz SK, Battersby C, Rogers D, Swift AJ, Rothman AMK. Anatomical characterization of pulmonary artery and implications to pulmonary artery pressure monitor implantation. Sci Rep 2023; 13:20528. [PMID: 37993563 PMCID: PMC10665414 DOI: 10.1038/s41598-023-47612-9] [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: 05/10/2022] [Accepted: 11/16/2023] [Indexed: 11/24/2023] Open
Abstract
In patients with heart failure, guideline directed medical therapy improves outcomes and requires close patient monitoring. Pulmonary artery pressure monitors permit remote assessment of cardiopulmonary haemodynamics and facilitate early intervention that has been shown to decrease heart failure hospitalization. Pressure sensors implanted in the pulmonary vasculature are stabilized through passive or active interaction with the anatomy and communicate with an external reader to relay invasively measured pressure by radiofrequency. A body mass index > 35 kg/m2 and chest circumference > 165 cm prevent use due to poor communication. Pulmonary vasculature anatomy is variable between patients and the pulmonary artery size, angulation of vessels and depth of sensor location from the chest wall in heart failure patients who may be candidates for pressure sensors remains largely unexamined. The present study analyses the size, angulation, and depth of the pulmonary artery at the position of implantation of two pulmonary artery pressure sensors: the CardioMEMS sensor typically implanted in the left pulmonary artery and the Cordella sensor implanted in the right pulmonary artery. Thirty-four computed tomography pulmonary angiograms from patients with heart failure were analysed using the MIMICS software. Distance from the bifurcation of the pulmonary artery to the implant site was shorter for the right pulmonary artery (4.55 ± 0.64 cm vs. 7.4 ± 1.3 cm) and vessel diameter at the implant site was larger (17.15 ± 2.87 mm vs. 11.83 ± 2.30 mm). Link distance (length of the communication path between sensor and reader) was shorter for the left pulmonary artery (9.40 ± 1.43 mm vs. 12.54 ± 1.37 mm). Therefore, the detailed analysis of pulmonary arterial anatomy using computed tomography pulmonary angiograms may alter the choice of implant location to reduce the risk of sensor migration and improve readability by minimizing sensor-to-reader link distance.
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Affiliation(s)
- Hamza Zafar
- University of Sheffield, Sheffield, UK
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Dharshan Neelam-Naganathan
- University of Sheffield, Sheffield, UK
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Jennifer T Middleton
- University of Sheffield, Sheffield, UK
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Sarah K Binmahfooz
- University of Sheffield, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Christian Battersby
- University of Sheffield, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Dominic Rogers
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK
| | - Andrew J Swift
- University of Sheffield, Sheffield, UK
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Alexander M K Rothman
- University of Sheffield, Sheffield, UK.
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK.
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK.
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6
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Chung MK, Patton KK, Lau CP, Dal Forno ARJ, Al-Khatib SM, Arora V, Birgersdotter-Green UM, Cha YM, Chung EH, Cronin EM, Curtis AB, Cygankiewicz I, Dandamudi G, Dubin AM, Ensch DP, Glotzer TV, Gold MR, Goldberger ZD, Gopinathannair R, Gorodeski EZ, Gutierrez A, Guzman JC, Huang W, Imrey PB, Indik JH, Karim S, Karpawich PP, Khaykin Y, Kiehl EL, Kron J, Kutyifa V, Link MS, Marine JE, Mullens W, Park SJ, Parkash R, Patete MF, Pathak RK, Perona CA, Rickard J, Schoenfeld MH, Seow SC, Shen WK, Shoda M, Singh JP, Slotwiner DJ, Sridhar ARM, Srivatsa UN, Stecker EC, Tanawuttiwat T, Tang WHW, Tapias CA, Tracy CM, Upadhyay GA, Varma N, Vernooy K, Vijayaraman P, Worsnick SA, Zareba W, Zeitler EP, Lopez-Cabanillas N, Ellenbogen KA, Hua W, Ikeda T, Mackall JA, Mason PK, McLeod CJ, Mela T, Moore JP, Racenet LK. 2023 HRS/APHRS/LAHRS guideline on cardiac physiologic pacing for the avoidance and mitigation of heart failure. J Arrhythm 2023; 39:681-756. [PMID: 37799799 PMCID: PMC10549836 DOI: 10.1002/joa3.12872] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023] Open
Abstract
Cardiac physiologic pacing (CPP), encompassing cardiac resynchronization therapy (CRT) and conduction system pacing (CSP), has emerged as a pacing therapy strategy that may mitigate or prevent the development of heart failure (HF) in patients with ventricular dyssynchrony or pacing-induced cardiomyopathy. This clinical practice guideline is intended to provide guidance on indications for CRT for HF therapy and CPP in patients with pacemaker indications or HF, patient selection, pre-procedure evaluation and preparation, implant procedure management, follow-up evaluation and optimization of CPP response, and use in pediatric populations. Gaps in knowledge, pointing to new directions for future research, are also identified.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Eugene H Chung
- University of Michigan Medical School Ann Arbor Michigan USA
| | | | | | | | | | - Anne M Dubin
- Stanford University, Pediatric Cardiology Palo Alto California USA
| | - Douglas P Ensch
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Taya V Glotzer
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
| | - Michael R Gold
- Medical University of South Carolina Charleston South Carolina USA
| | - Zachary D Goldberger
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
| | | | - Eiran Z Gorodeski
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
| | | | | | - Weijian Huang
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
| | - Peter B Imrey
- Cleveland Clinic Cleveland Ohio USA
- Case Western Reserve University Cleveland Ohio USA
| | - Julia H Indik
- University of Arizona, Sarver Heart Center Tucson Arizona USA
| | - Saima Karim
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
| | - Peter P Karpawich
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
| | - Yaariv Khaykin
- Southlake Regional Health Center Newmarket Ontario Canada
| | | | - Jordana Kron
- Virginia Commonwealth University Richmond Virginia USA
| | | | - Mark S Link
- University of Texas Southwestern Medical Center Dallas Texas USA
| | - Joseph E Marine
- Johns Hopkins University School of Medicine Baltimore Maryland USA
| | - Wilfried Mullens
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
| | - Seung-Jung Park
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
| | | | | | - Rajeev Kumar Pathak
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
| | | | | | | | | | | | - Morio Shoda
- Tokyo Women's Medical University Tokyo Japan
| | - Jagmeet P Singh
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
| | - David J Slotwiner
- Weill Cornell Medicine Population Health Sciences New York New York USA
| | | | - Uma N Srivatsa
- University of California Davis Sacramento California USA
| | | | | | | | | | - Cynthia M Tracy
- George Washington University Washington District of Columbia USA
| | | | | | - Kevin Vernooy
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
| | | | | | - Wojciech Zareba
- University of Rochester Medical Center Rochester New York USA
| | | | - Nestor Lopez-Cabanillas
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Kenneth A Ellenbogen
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Wei Hua
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Takanori Ikeda
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Judith A Mackall
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Pamela K Mason
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Christopher J McLeod
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Theofanie Mela
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Jeremy P Moore
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
| | - Laurel Kay Racenet
- Cleveland Clinic Cleveland Ohio USA
- University of Washington Seattle Washington USA
- University of Hong Kong Hong Kong China
- Hospital SOS Cárdio Florianópolis Brazil
- Duke University Medical Center Durham North Carolina USA
- Indraprastha Apollo Hospital New Delhi India
- University of California San Diego Health La Jolla California USA
- Mayo Clinic, Rochester Rochester Minnesota USA
- University of Michigan Medical School Ann Arbor Michigan USA
- Temple University Philadelphia Pennsylvania USA
- University at Buffalo Buffalo New York USA
- Medical University of Łódź, Łódź Poland
- Virginia Mason Franciscan Health Tacoma Washington USA
- Stanford University, Pediatric Cardiology Palo Alto California USA
- Hackensack Meridian School of Medicine Hackensack New Jersey USA
- Medical University of South Carolina Charleston South Carolina USA
- University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
- Kansas City Heart Rhythm Institute Overland Park Kansas USA
- University Hospitals and Case Western Reserve University School of Medicine Cleveland Ohio USA
- University of Minnesota Minneapolis Minnesota USA
- McMaster University Hamilton Ontario Canada
- First Affiliated Hospital of Wenzhou Medical University Wenzhou China
- Case Western Reserve University Cleveland Ohio USA
- University of Arizona, Sarver Heart Center Tucson Arizona USA
- MetroHealth Medical Center Case Western Reserve University Cleveland Ohio USA
- The Children's Hospital of Michigan Central Michigan University Detroit Michigan USA
- Southlake Regional Health Center Newmarket Ontario Canada
- Sentara Norfolk Virginia USA
- Virginia Commonwealth University Richmond Virginia USA
- University of Rochester Medical Center Rochester New York USA
- University of Texas Southwestern Medical Center Dallas Texas USA
- Johns Hopkins University School of Medicine Baltimore Maryland USA
- Ziekenhuis Oost-Limburg Genk Belgium and Hasselt University Hasselt Belgium
- Sungkyunkwan University School of Medicine, Samsung Medical Center Seoul Republic of Korea
- QEII Health Sciences Center Halifax Nova Scotia Canada
- Clinica Corazones Unidos Santo Domingo Dominican Republic
- Australian National University, Canberra Hospital Garran Australian Capital Territory Australia
- Santojanni Hospital Buenos Aires Argentina
- Yale University School of Medicine New Haven Connecticut USA
- National University Hospital Singapore Singapore
- Mayo Clinic Phoenix Arizona USA
- Tokyo Women's Medical University Tokyo Japan
- Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA
- Weill Cornell Medicine Population Health Sciences New York New York USA
- University of California Davis Sacramento California USA
- Oregon Health & Science University Portland Oregon USA
- Indiana University Indianapolis Indiana USA
- Fundación Cardioinfantil Instituto de Cardiologia Bogotá Colombia
- George Washington University Washington District of Columbia USA
- University of Chicago Medicine Chicago Illinois USA
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center Maastricht The Netherlands
- Geisinger Health System Wilkes-Barre Pennsylvania USA
- Dartmouth Hitchcock Medical Center New Hampshire Lebanon
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7
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Ferrick AM, Raj SR, Deneke T, Kojodjojo P, Lopez-Cabanillas N, Abe H, Boveda S, Chew DS, Choi JI, Dagres N, Dalal AS, Dechert BE, Frazier-Mills CG, Gilbert O, Han JK, Hewit S, Kneeland C, DeEllen Mirza S, Mittal S, Ricci RP, Runte M, Sinclair S, Alkmim-Teixeira R, Vandenberk B, Varma N. 2023 HRS/EHRA/APHRS/LAHRS expert consensus statement on practical management of the remote device clinic. Heart Rhythm 2023; 20:e92-e144. [PMID: 37211145 DOI: 10.1016/j.hrthm.2023.03.1525] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 03/28/2023] [Indexed: 05/23/2023]
Abstract
Remote monitoring is beneficial for the management of patients with cardiovascular implantable electronic devices by impacting morbidity and mortality. With increasing numbers of patients using remote monitoring, keeping up with higher volume of remote monitoring transmissions creates challenges for device clinic staff. This international multidisciplinary document is intended to guide cardiac electrophysiologists, allied professionals, and hospital administrators in managing remote monitoring clinics. This includes guidance for remote monitoring clinic staffing, appropriate clinic workflows, patient education, and alert management. This expert consensus statement also addresses other topics such as communication of transmission results, use of third-party resources, manufacturer responsibilities, and programming concerns. The goal is to provide evidence-based recommendations impacting all aspects of remote monitoring services. Gaps in current knowledge and guidance for future research directions are also identified.
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Affiliation(s)
| | | | | | | | | | - Haruhiko Abe
- University of Occupational and Environmental Health Hospital, Kitakyushu, Japan
| | | | | | | | - Nikolaos Dagres
- Heart Center Leipzig at the University of Leipzig, Leipzig, Germany
| | - Aarti S Dalal
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | - Olivia Gilbert
- Wake Forest Baptist Medical Center, Winston-Salem, North Carolina
| | - Janet K Han
- VA Greater Los Angeles Healthcare System, Los Angeles, California
| | | | | | | | | | | | - Mary Runte
- University of Lethbridge, Lethbridge, Alberta, Canada
| | | | | | - Bert Vandenberk
- University of Calgary, Calgary, Alberta, Canada; Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
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8
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Chung MK, Patton KK, Lau CP, Dal Forno ARJ, Al-Khatib SM, Arora V, Birgersdotter-Green UM, Cha YM, Chung EH, Cronin EM, Curtis AB, Cygankiewicz I, Dandamudi G, Dubin AM, Ensch DP, Glotzer TV, Gold MR, Goldberger ZD, Gopinathannair R, Gorodeski EZ, Gutierrez A, Guzman JC, Huang W, Imrey PB, Indik JH, Karim S, Karpawich PP, Khaykin Y, Kiehl EL, Kron J, Kutyifa V, Link MS, Marine JE, Mullens W, Park SJ, Parkash R, Patete MF, Pathak RK, Perona CA, Rickard J, Schoenfeld MH, Seow SC, Shen WK, Shoda M, Singh JP, Slotwiner DJ, Sridhar ARM, Srivatsa UN, Stecker EC, Tanawuttiwat T, Tang WHW, Tapias CA, Tracy CM, Upadhyay GA, Varma N, Vernooy K, Vijayaraman P, Worsnick SA, Zareba W, Zeitler EP. 2023 HRS/APHRS/LAHRS guideline on cardiac physiologic pacing for the avoidance and mitigation of heart failure. Heart Rhythm 2023; 20:e17-e91. [PMID: 37283271 PMCID: PMC11062890 DOI: 10.1016/j.hrthm.2023.03.1538] [Citation(s) in RCA: 85] [Impact Index Per Article: 85.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 03/31/2023] [Indexed: 06/08/2023]
Abstract
Cardiac physiologic pacing (CPP), encompassing cardiac resynchronization therapy (CRT) and conduction system pacing (CSP), has emerged as a pacing therapy strategy that may mitigate or prevent the development of heart failure (HF) in patients with ventricular dyssynchrony or pacing-induced cardiomyopathy. This clinical practice guideline is intended to provide guidance on indications for CRT for HF therapy and CPP in patients with pacemaker indications or HF, patient selection, pre-procedure evaluation and preparation, implant procedure management, follow-up evaluation and optimization of CPP response, and use in pediatric populations. Gaps in knowledge, pointing to new directions for future research, are also identified.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Eugene H Chung
- University of Michigan Medical School, Ann Arbor, Michigan
| | | | | | | | | | - Anne M Dubin
- Stanford University, Pediatric Cardiology, Palo Alto, California
| | | | - Taya V Glotzer
- Hackensack Meridian School of Medicine, Hackensack, New Jersey
| | - Michael R Gold
- Medical University of South Carolina, Charleston, South Carolina
| | - Zachary D Goldberger
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | | | - Eiran Z Gorodeski
- University Hospitals and Case Western Reserve University School of Medicine, Cleveland, Ohio
| | | | | | - Weijian Huang
- First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Peter B Imrey
- Cleveland Clinic, Cleveland, Ohio; Case Western Reserve University, Cleveland, Ohio
| | - Julia H Indik
- University of Arizona, Sarver Heart Center, Tucson, Arizona
| | - Saima Karim
- MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Peter P Karpawich
- The Children's Hospital of Michigan, Central Michigan University, Detroit, Michigan
| | - Yaariv Khaykin
- Southlake Regional Health Center, Newmarket, Ontario, Canada
| | | | - Jordana Kron
- Virginia Commonwealth University, Richmond, Virginia
| | | | - Mark S Link
- University of Texas Southwestern Medical Center, Dallas, Texas
| | - Joseph E Marine
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Wilfried Mullens
- Ziekenhuis Oost-Limburg Genk, Belgium and Hasselt University, Hasselt, Belgium
| | - Seung-Jung Park
- Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Ratika Parkash
- QEII Health Sciences Center, Halifax, Nova Scotia, Canada
| | | | - Rajeev Kumar Pathak
- Australian National University, Canberra Hospital, Garran, Australian Capital Territory, Australia
| | | | | | | | | | | | - Morio Shoda
- Tokyo Women's Medical University, Tokyo, Japan
| | - Jagmeet P Singh
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - David J Slotwiner
- Weill Cornell Medicine Population Health Sciences, New York, New York
| | | | | | | | | | | | | | - Cynthia M Tracy
- George Washington University, Washington, District of Columbia
| | | | | | - Kevin Vernooy
- Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands
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9
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Stremmel C, Breitschwerdt R. Digital Transformation in the Diagnostics and Therapy of Cardiovascular Diseases: Comprehensive Literature Review. JMIR Cardio 2023; 7:e44983. [PMID: 37647103 PMCID: PMC10500361 DOI: 10.2196/44983] [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: 12/11/2022] [Revised: 06/12/2023] [Accepted: 08/07/2023] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND The digital transformation of our health care system has experienced a clear shift in the last few years due to political, medical, and technical innovations and reorganization. In particular, the cardiovascular field has undergone a significant change, with new broad perspectives in terms of optimized treatment strategies for patients nowadays. OBJECTIVE After a short historical introduction, this comprehensive literature review aimed to provide a detailed overview of the scientific evidence regarding digitalization in the diagnostics and therapy of cardiovascular diseases (CVDs). METHODS We performed an extensive literature search of the PubMed database and included all related articles that were published as of March 2022. Of the 3021 studies identified, 1639 (54.25%) studies were selected for a structured analysis and presentation (original articles: n=1273, 77.67%; reviews or comments: n=366, 22.33%). In addition to studies on CVDs in general, 829 studies could be assigned to a specific CVD with a diagnostic and therapeutic approach. For data presentation, all 829 publications were grouped into 6 categories of CVDs. RESULTS Evidence-based innovations in the cardiovascular field cover a wide medical spectrum, starting from the diagnosis of congenital heart diseases or arrhythmias and overoptimized workflows in the emergency care setting of acute myocardial infarction to telemedical care for patients having chronic diseases such as heart failure, coronary artery disease, or hypertension. The use of smartphones and wearables as well as the integration of artificial intelligence provides important tools for location-independent medical care and the prevention of adverse events. CONCLUSIONS Digital transformation has opened up multiple new perspectives in the cardiovascular field, with rapidly expanding scientific evidence. Beyond important improvements in terms of patient care, these innovations are also capable of reducing costs for our health care system. In the next few years, digital transformation will continue to revolutionize the field of cardiovascular medicine and broaden our medical and scientific horizons.
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10
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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: 17] [Impact Index Per Article: 17.0] [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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11
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Scholte NTB, Gürgöze MT, Aydin D, Theuns DAMJ, Manintveld OC, Ronner E, Boersma E, de Boer RA, van der Boon RMA, Brugts JJ. Telemonitoring for heart failure: a meta-analysis. Eur Heart J 2023; 44:2911-2926. [PMID: 37216272 PMCID: PMC10424885 DOI: 10.1093/eurheartj/ehad280] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 04/28/2023] [Accepted: 04/29/2023] [Indexed: 05/24/2023] Open
Abstract
AIMS Telemonitoring modalities in heart failure (HF) have been proposed as being essential for future organization and transition of HF care, however, efficacy has not been proven. A comprehensive meta-analysis of studies on home telemonitoring systems (hTMS) in HF and the effect on clinical outcomes are provided. METHODS AND RESULTS A systematic literature search was performed in four bibliographic databases, including randomized trials and observational studies that were published during January 1996-July 2022. A random-effects meta-analysis was carried out comparing hTMS with standard of care. All-cause mortality, first HF hospitalization, and total HF hospitalizations were evaluated as study endpoints. Sixty-five non-invasive hTMS studies and 27 invasive hTMS studies enrolled 36 549 HF patients, with a mean follow-up of 11.5 months. In patients using hTMS compared with standard of care, a significant 16% reduction in all-cause mortality was observed [pooled odds ratio (OR): 0.84, 95% confidence interval (CI): 0.77-0.93, I2: 24%], as well as a significant 19% reduction in first HF hospitalization (OR: 0.81, 95% CI 0.74-0.88, I2: 22%) and a 15% reduction in total HF hospitalizations (pooled incidence rate ratio: 0.85, 95% CI 0.76-0.96, I2: 70%). CONCLUSION These results are an advocacy for the use of hTMS in HF patients to reduce all-cause mortality and HF-related hospitalizations. Still, the methods of hTMS remain diverse, so future research should strive to standardize modes of effective hTMS.
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Affiliation(s)
- Niels T B Scholte
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Muhammed T Gürgöze
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Dilan Aydin
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Dominic A M J Theuns
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Olivier C Manintveld
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Eelko Ronner
- Department of Cardiology, Reinier de Graaf Hospital, Reinier de Graafweg 5, Delft, South Holland 2625 AD, The Netherlands
| | - Eric Boersma
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Robert M A van der Boon
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Jasper J Brugts
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
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12
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Metra M, Adamo M, Tomasoni D, Mebazaa A, Bayes-Genis A, Abdelhamid M, Adamopoulos S, Anker SD, Bauersachs J, Belenkov Y, Böhm M, Gal TB, Butler J, Cohen-Solal A, Filippatos G, Gustafsson F, Hill L, Jaarsma T, Jankowska EA, Lainscak M, Lopatin Y, Lund LH, McDonagh T, Milicic D, Moura B, Mullens W, Piepoli M, Polovina M, Ponikowski P, Rakisheva A, Ristic A, Savarese G, Seferovic P, Sharma R, Thum T, Tocchetti CG, Van Linthout S, Vitale C, Von Haehling S, Volterrani M, Coats AJS, Chioncel O, Rosano G. Pre-discharge and early post-discharge management of patients hospitalized for acute heart failure: A scientific statement by the Heart Failure Association of the ESC. Eur J Heart Fail 2023; 25:1115-1131. [PMID: 37448210 DOI: 10.1002/ejhf.2888] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/16/2023] [Accepted: 04/30/2023] [Indexed: 07/15/2023] Open
Abstract
Acute heart failure is a major cause of urgent hospitalizations. These are followed by marked increases in death and rehospitalization rates, which then decline exponentially though they remain higher than in patients without a recent hospitalization. Therefore, optimal management of patients with acute heart failure before discharge and in the early post-discharge phase is critical. First, it may prevent rehospitalizations through the early detection and effective treatment of residual or recurrent congestion, the main manifestation of decompensation. Second, initiation at pre-discharge and titration to target doses in the early post-discharge period, of guideline-directed medical therapy may improve both short- and long-term outcomes. Third, in chronic heart failure, medical treatment is often left unchanged, so the acute heart failure hospitalization presents an opportunity for implementation of therapy. The aim of this scientific statement by the Heart Failure Association of the European Society of Cardiology is to summarize recent findings that have implications for clinical management both in the pre-discharge and the early post-discharge phase after a hospitalization for acute heart failure.
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Affiliation(s)
- Marco Metra
- Cardiology and Cardiac Catheterization Laboratory, ASST Spedali Civili di Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Marianna Adamo
- Cardiology and Cardiac Catheterization Laboratory, ASST Spedali Civili di Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Daniela Tomasoni
- Cardiology and Cardiac Catheterization Laboratory, ASST Spedali Civili di Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Alexandre Mebazaa
- AP-HP Department of Anesthesia and Critical Care, Hôpital Lariboisière, Université Paris Cité, Inserm MASCOT, Paris, France
| | - Antoni Bayes-Genis
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Stamatis Adamopoulos
- Second Department of Cardiovascular Medicine, Onassis Cardiac Surgery Center, Athens, Greece
| | - Stefan D Anker
- Department of Cardiology (CVK); and Berlin Institute of Health Center for Regenerative Therapies (BCRT); German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Johann Bauersachs
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | | | - Michael Böhm
- Saarland University Hospital, Homburg/Saar, Germany
| | - Tuvia Ben Gal
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Javed Butler
- Baylor Scott and White Research Institute, Dallas, TX, USA
- Department of Medicine, University of Mississippi, Jackson, MS, USA
| | - Alain Cohen-Solal
- Inserm 942 MASCOT, Université de Paris, AP-HP, Hopital Lariboisière, Paris, France
| | - Gerasimos Filippatos
- Department of Cardiology, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Finn Gustafsson
- Rigshospitalet-Copenhagen University Hospital, Heart Centre, Department of Cardiology, Copenhagen, Denmark
| | | | | | - Ewa A Jankowska
- Institute of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland
| | - Mitja Lainscak
- Division of Cardiology, General Hospital Murska Sobota, Murska Sobota, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Yuri Lopatin
- Volgograd State Medical University, Volgograd, Russia
| | - Lars H Lund
- Department of Medicine, Karolinska Institutet, and Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Theresa McDonagh
- Department of Cardiovascular Science, Faculty of Life Science and Medicine, King's College London, London, UK
| | - Davor Milicic
- Massachusetts General Hospital and Baim Institute for Clinical Research, Boston, MA, USA
| | - Brenda Moura
- Faculty of Medicine, University of Porto, Porto, Portugal
- Cardiology Department, Porto Armed Forces Hospital, Porto, Portugal
| | | | - Massimo Piepoli
- Clinical Cardiology, IRCCS Policlinico San Donato, Milan, Italy
- Department of Biomedical Science for Health, University of Milan, Milan, Italy
| | - Marija Polovina
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Piotr Ponikowski
- Institute of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland
| | - Amina Rakisheva
- Scientific Research Institute of Cardiology and Internal Medicine, Almaty, Kazakhstan
| | - Arsen Ristic
- School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Gianluigi Savarese
- Department of Medicine, Karolinska Institutet, and Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Petar Seferovic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
- Serbian Academy of Sciences and Arts, Belgrade, Serbia
| | - Rajan Sharma
- St. George's Hospitals NHS Trust University of London, London, UK
| | - Thomas Thum
- Institute of Molecular and Translational Therapeutic Strategies (IMTTS) and Rebirth Center for Translational Regenerative Therapies, Hannover Medical School, Hannover, Germany
- Fraunhofer Institute of Toxicology and Experimental Medicine, Hannover, Germany
| | - Carlo G Tocchetti
- Cardio-Oncology Unit, Department of Translational Medical Sciences, Center for Basic and Clinical Immunology Research (CISI), Interdepartmental Center of Clinical and Translational Sciences (CIRCET), Interdepartmental Hypertension Research Center (CIRIAPA), Federico II University, Naples, Italy
| | - Sophie Van Linthout
- German Centre for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany
- Berlin Institute of Health (BIH) at Charité-Universitätmedizin Berlin, BIH Center for Regenerative Therapies (BCRT), Berlin, Germany
| | - Cristiana Vitale
- Department of Medical Sciences, Centre for Clinical and Basic Research, IRCCS San Raffaele Pisana, Rome, Italy
| | - Stephan Von Haehling
- Department of Cardiology and Pneumology, University Medical Center Goettingen, Georg-August University, Goettingen, Germany
- German Center for Cardiovascular Research (DZHK), partner site Goettingen, Goettingen, Germany
| | - Maurizio Volterrani
- Department of Medical Sciences, Centre for Clinical and Basic Research, IRCCS San Raffaele Pisana, Rome, Italy
| | | | - Ovidiu Chioncel
- Emergency Institute for Cardiovascular Diseases 'Prof. C.C. Iliescu', University of Medicine Carol Davila, Bucharest, Romania
| | - Giuseppe Rosano
- St. George's Hospitals NHS Trust University of London, London, UK
- Department of Medical Sciences, Centre for Clinical and Basic Research, IRCCS San Raffaele Pisana, Rome, Italy
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13
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Stevenson LW, Ross HJ, Rathman LD, Boehmer JP. Remote Monitoring for Heart Failure Management at Home. J Am Coll Cardiol 2023; 81:2272-2291. [PMID: 37286258 DOI: 10.1016/j.jacc.2023.04.010] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 06/09/2023]
Abstract
Early telemonitoring of weights and symptoms did not decrease heart failure hospitalizations but helped identify steps toward effective monitoring programs. A signal that is accurate and actionable with response kinetics for early re-assessment is required for the treatment of patients at high risk, while signal specifications differ for surveillance of low-risk patients. Tracking of congestion with cardiac filling pressures or lung water content has shown most impact to decrease hospitalizations, while multiparameter scores from implanted rhythm devices have identified patients at increased risk. Algorithms require better personalization of signal thresholds and interventions. The COVID-19 epidemic accelerated transition to remote care away from clinics, preparing for new digital health care platforms to accommodate multiple technologies and empower patients. Addressing inequities will require bridging the digital divide and the deep gap in access to HF care teams, who will not be replaced by technology but by care teams who can embrace it.
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Affiliation(s)
| | - Heather J Ross
- Ted Rogers Centre for Heart Research, Peter Munk Centre, Toronto, Ontario, Canada
| | - Lisa D Rathman
- PENN Medicine Lancaster General Health, Lancaster, Pennsylvania, USA
| | - John P Boehmer
- Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
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14
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Ferrick AM, Raj SR, Deneke T, Kojodjojo P, Lopez‐Cabanillas N, Abe H, Boveda S, Chew DS, Choi J, Dagres N, Dalal AS, Dechert BE, Frazier‐Mills CG, Gilbert O, Han JK, Hewit S, Kneeland C, Mirza SD, Mittal S, Ricci RP, Runte M, Sinclair S, Alkmim‐Teixeira R, Vandenberk B, Varma N, Davenport E, Freedenberg V, Glotzer TV, Huang J, Ikeda T, Kramer DB, Lin D, Rojel‐Martínez U, Stühlinger M, Varosy PD. 2023 HRS/EHRA/APHRS/LAHRS Expert Consensus Statement on Practical Management of the Remote Device Clinic. J Arrhythm 2023; 39:250-302. [PMID: 37324757 PMCID: PMC10264760 DOI: 10.1002/joa3.12851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023] Open
Abstract
Remote monitoring is beneficial for the management of patients with cardiovascular implantable electronic devices by impacting morbidity and mortality. With increasing numbers of patients using remote monitoring, keeping up with higher volume of remote monitoring transmissions creates challenges for device clinic staff. This international multidisciplinary document is intended to guide cardiac electrophysiologists, allied professionals, and hospital administrators in managing remote monitoring clinics. This includes guidance for remote monitoring clinic staffing, appropriate clinic workflows, patient education, and alert management. This expert consensus statement also addresses other topics such as communication of transmission results, use of third-party resources, manufacturer responsibilities, and programming concerns. The goal is to provide evidence-based recommendations impacting all aspects of remote monitoring services. Gaps in current knowledge and guidance for future research directions are also identified.
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Affiliation(s)
| | | | | | | | | | - Haruhiko Abe
- University of Occupational and Environmental Health HospitalJapan
| | | | | | | | - Nikolaos Dagres
- Heart Center Leipzig at the University of LeipzigLeipzigGermany
| | | | | | | | | | - Janet K. Han
- VA Greater Los Angeles Healthcare SystemLos AngelesCalifornia
| | | | | | | | | | | | - Mary Runte
- University of LethbridgeLethbridgeAlbertaCanada
| | | | | | - Bert Vandenberk
- University of CalgaryCalgaryAlbertaCanada
- Department of Cardiovascular SciencesLeuvenBelgium
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15
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Mahalwar G, Kumar A, Kalra A. Virtual Cardiology: Past, Present, Future Directions, and Considerations. CURRENT CARDIOVASCULAR RISK REPORTS 2023; 17:117-122. [PMID: 37305213 PMCID: PMC10225773 DOI: 10.1007/s12170-023-00719-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2023] [Indexed: 06/13/2023]
Abstract
Purpose of Review Through this review, we attempt to explore the role of telemedicine and virtual visits in the field of cardiology pre-COVID-19 and during COVID-19 pandemic, their limitations and their future scope for delivery of care. Recent Findings Telemedicine, which rose to prominence during COVID-19 pandemic, helped not only in reducing the burden on the healthcare system during a time of crisis but also in improving patient outcomes. Patients and physicians also favored virtual visits when feasible. Virtual visits were found to have the potential to be continued beyond the pandemic and play a significant role in patient care alongside conventional face-to-face visits. Summary Although tele-cardiology has proven beneficial in terms of patient care, convenience, and access, it comes with its fair share of limitations-both logistical and medical. Whilst there remains a great scope for improvement in the quality of patient care provided through telemedicine, it has shown the potential to become an integral part of medical practice in the future. Supplementary Information The online version contains supplementary material available at 10.1007/s12170-023-00719-0.
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Affiliation(s)
- Gauranga Mahalwar
- Department of Internal Medicine, Cleveland Clinic Akron General, Akron, OH USA
| | - Ashish Kumar
- Department of Internal Medicine, Cleveland Clinic Akron General, Akron, OH USA
| | - Ankur Kalra
- Franciscan Physician Network Cardiology, Franciscan Health, 3900 St. Francis Way, Suite 200 Lafayette, IN 47905 Lafayette, USA
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16
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Ferrick AM, Raj SR, Deneke T, Kojodjojo P, Lopez-Cabanillas N, Abe H, Boveda S, Chew DS, Choi JI, Dagres N, Dalal AS, Dechert BE, Frazier-Mills CG, Gilbert O, Han JK, Hewit S, Kneeland C, Mirza SD, Mittal S, Ricci RP, Runte M, Sinclair S, Alkmim-Teixeira R, Vandenberk B, Varma N, Davenport E, Freedenberg V, Glotzer TV, Huang JL, Ikeda T, Kramer DB, Lin D, Rojel-Martínez U, Stühlinger M, Varosy PD. 2023 HRS/EHRA/APHRS/LAHRS Expert Consensus Statement on Practical Management of the Remote Device Clinic. Europace 2023; 25:euad123. [PMID: 37208301 PMCID: PMC10199172 DOI: 10.1093/europace/euad123] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/21/2023] Open
Abstract
Remote monitoring is beneficial for the management of patients with cardiovascular implantable electronic devices by impacting morbidity and mortality. With increasing numbers of patients using remote monitoring, keeping up with higher volume of remote monitoring transmissions creates challenges for device clinic staff. This international multidisciplinary document is intended to guide cardiac electrophysiologists, allied professionals, and hospital administrators in managing remote monitoring clinics. This includes guidance for remote monitoring clinic staffing, appropriate clinic workflows, patient education, and alert management. This expert consensus statement also addresses other topics such as communication of transmission results, use of third-party resources, manufacturer responsibilities, and programming concerns. The goal is to provide evidence-based recommendations impacting all aspects of remote monitoring services. Gaps in current knowledge and guidance for future research directions are also identified.
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Affiliation(s)
| | | | | | | | | | - Haruhiko Abe
- University of Occupational and Environmental Health Hospital, Kitakyushu, Japan
| | | | | | | | - Nikolaos Dagres
- Heart Center Leipzig at the University of Leipzig, Leipzig, Germany
| | - Aarti S Dalal
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | - Olivia Gilbert
- Wake Forest Baptist Medical Center, Winston-Salem, North Carolina
| | - Janet K Han
- VA Greater Los Angeles Healthcare System, Los Angeles, California
| | | | | | | | | | | | - Mary Runte
- University of Lethbridge, Lethbridge, Alberta, Canada
| | | | | | - Bert Vandenberk
- University of Calgary, Calgary, Alberta, Canada
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
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17
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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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18
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Gill J. Implantable Cardiovascular Devices: Current and Emerging Technologies for Remote Heart Failure Monitoring. Cardiol Rev 2023; 31:128-138. [PMID: 35349243 DOI: 10.1097/crd.0000000000000432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Heart failure remains a substantial socioeconomic burden to our health care system. With the aging of the population, the incidence is expected to rise in the ensuing years. Standard heart failure management strategies have failed to reduce hospitalizations and mortality. In patients with heart failure, remote hemodynamic monitoring with implantable devices provides essential data, which can be used in unison with standard patient management to reduce heart failure hospitalizations. This review will chronicle the important clinical trials of various implantable devices and describe the emerging technologies in remote heart failure management. Cardiovascular implantable electronic devices, namely implanted cardioverter-defibrillator and cardiac resynchronization therapy devices with defibrillator, have evolved beyond sole resynchronization and currently can deliver real-time cardiac hemodynamics. Clinical data regarding hemodynamic monitoring with implanted cardioverter-defibrillator and cardiac resynchronization therapy devices with defibrillator have not consistently demonstrated a reduction in heart failure or mortality benefit. However, there is promise in the future with the application of multiparameter diagnostic algorithms with these devices. The most efficacious implantable device has been the pulmonary artery pressure sensor, CardioMEMS. This device has been proven to be safe and shown to reduce heart failure hospitalizations. Moreover, multiple newly developed devices are currently under investigation after successful first-in-man studies.
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Affiliation(s)
- Jashan Gill
- From the Department of Medicine, Rosalind Franklin University of Medicine and Science, North Chicago, IL
- Department of Medicine, Northwestern McHenry Hospital, McHenry, IL
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19
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Pedroni C, Djuric O, Bassi MC, Mione L, Caleffi D, Testa G, Prandi C, Navazio A, Giorgi Rossi P. Elements Characterising Multicomponent Interventions Used to Improve Disease Management Models and Clinical Pathways in Acute and Chronic Heart Failure: A Scoping Review. Healthcare (Basel) 2023; 11:1227. [PMID: 37174769 PMCID: PMC10178532 DOI: 10.3390/healthcare11091227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/17/2023] [Accepted: 04/23/2023] [Indexed: 05/15/2023] Open
Abstract
This study aimed to summarise different interventions used to improve clinical models and pathways in the management of chronic and acute heart failure (HF). A scoping review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. MEDLINE (via PubMed), Embase, The Cochrane Library, and CINAHL were searched for systematic reviews (SR) published in the period from 2014 to 2019 in the English language. Primary articles cited in SR that fulfil inclusion and exclusion criteria were extracted and examined using narrative synthesis. Interventions were classified based on five chosen elements of the Chronic Care Model (CCM) framework (self-management support, decision support, community resources and policies, delivery system, and clinical information system). Out of 155 SRs retrieved, 7 were considered for the extraction of 166 primary articles. The prevailing setting was the patient's home. Only 46 studies specified the severity of HF by reporting the level of left ventricular ejection fraction (LVEF) impairment in a heterogeneous manner. However, most studies targeted the populations with LVEF ≤ 45% and LVEF < 40%. Self-management and delivery systems were the most evaluated CCM elements. Interventions related to community resources and policy and advising/reminding systems for providers were rarely evaluated. No studies addressed the implementation of a disease registry. A multidisciplinary team was available with similarly low frequency in each setting. Although HF care should be a multi-component model, most studies did not analyse the role of some important components, such as the decision support tools to disseminate guidelines and program planning that includes measurable targets.
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Affiliation(s)
- Cristina Pedroni
- Direzione delle Professioni Sanitarie, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, 42122 Reggio Emilia, Italy;
- Laurea Magistrale in Scienze Infermieristiche e Ostetriche, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy;
| | - Olivera Djuric
- Epidemiology Unit, Azienda Unità Sanitaria Locale–IRCCS di Reggio Emilia, 42122 Reggio Emilia, Italy;
- Centre for Environmental, Nutritional and Genetic Epidemiology (CREAGEN), Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Maria Chiara Bassi
- Medical Library, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy;
| | - Lorenzo Mione
- Laurea Magistrale in Scienze Infermieristiche e Ostetriche, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy;
| | - Dalia Caleffi
- Cardiology Division, Azienda Ospedaliera Universitaria di Modena, 41124 Modena, Italy;
| | - Giacomo Testa
- UO Medicina, Ospedale Giuseppe Dossetti, Azienda Unità Sanitaria Locale di Bologna, 40053 Bologna, Italy;
| | - Cesarina Prandi
- Department of Business Economics, Health & Social Care, University of Applied Sciences & Arts of Southern Switzerland, CH-6928 Manno, Switzerland;
| | - Alessandro Navazio
- Cardiology Division, Arcispedale Santa Maria Nuova, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy;
| | - Paolo Giorgi Rossi
- Epidemiology Unit, Azienda Unità Sanitaria Locale–IRCCS di Reggio Emilia, 42122 Reggio Emilia, Italy;
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20
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Buttar C, Lakhdar S, Nso N, Guzman-Perez L, Dao T, Mahmood K, Hendel R, Lavie CJ, Collura G, Trandafirescu T. Meta-Analysis Comparing Outcomes of Remote Hemodynamic Assessment Versus Standard Care in Patients With Heart Failure. Am J Cardiol 2023; 192:79-87. [PMID: 36758268 DOI: 10.1016/j.amjcard.2022.12.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 10/17/2022] [Accepted: 12/26/2022] [Indexed: 02/09/2023]
Abstract
In patients with congestive heart failure (CHF), remote hemodynamic monitoring can reduce heart failure exacerbation and mortality. In this study, we compared the effectiveness of remote hemodynamic monitoring with that of standard care in the management of patients with CHF. The remote monitoring group included 7,733 patients, and the control group included 7,567 patients. Chi-square test and I-square statistics were used to assess heterogeneity. Risk ratios (RRs) were calculated using fixed-effects and random-effects methods to determine the risk of all-cause hospitalization and CHF-related hospitalization (primary outcomes) and all-cause mortality and device outcomes (secondary outcomes). Pooled findings indicated a 7% lower risk of all-cause hospitalization in the remote monitoring group than that in the control group (RR 0.93, 95% confidence interval [CI] 0.89 to 0.98, p = 0.004). The results also revealed a 32% lower risk of CHF-related hospitalization in the remote monitoring group than that in the control group (RR 0.68, 95% CI 0.65 to 0.71, p <0.001). No statistically significant differences were noted between the groups in terms of all-cause mortality (RR 0.97, 95% CI 0.87 to 1.07, p = 0.53) and device outcomes (RR 1.23 95% CI 0.92 to 1.65, p = 0.16). These results provided evidence regarding the comparable effectiveness of remote CHF monitoring and routine care. The current evidence is insufficient to introduce remote hemodynamic CHF monitoring; however, our results suggest that the integration of telemonitoring systems with routine medical management may improve heart failure care.
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Affiliation(s)
- Chandan Buttar
- Section of Cardiology, Tulane University School of Medicine, New Orleans, Louisiana.
| | - Sofia Lakhdar
- Department of Cardiology, Ochsner Medical Center, New Orleans, Louisiana.
| | - Nso Nso
- Department of Cardiology, University of Chicago, Illinois
| | - Laura Guzman-Perez
- Division of Cardiology, Icahn School of Medicine at Mount Sinai/NYC H+H/Queens, New York
| | - Tristan Dao
- Department of Cardiology, Ochsner Medical Center, New Orleans, Louisiana
| | - Kiran Mahmood
- Division of Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Robert Hendel
- Section of Cardiology, Tulane University School of Medicine, New Orleans, Louisiana
| | - Carl J Lavie
- Department of Cardiology, Ochsner Medical Center, New Orleans, Louisiana
| | - Giovina Collura
- Division of Cardiology, Icahn School of Medicine at Mount Sinai/NYC H+H/Queens, New York
| | - Theo Trandafirescu
- Division of Critical Care Medicine, Icahn School of Medicine at Mount Sinai/NYC H+H/Queens, New York
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21
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Assa S, Vernooy K, van Stipdonk AMW. Cardiovascular Implantable Electronic Devices Enabled Remote Heart Failure Monitoring; What We Have Learned and Where to Go Next. J Cardiovasc Dev Dis 2023; 10:jcdd10040152. [PMID: 37103031 PMCID: PMC10142884 DOI: 10.3390/jcdd10040152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 03/28/2023] [Accepted: 03/29/2023] [Indexed: 04/05/2023] Open
Abstract
Despite recent developments, heart failure (HF) remains to be a great burden to the individual patient, entailing major morbidity and mortality. Moreover, HF is a great burden to overall healthcare, mainly because of frequent hospitalizations. Timely diagnosis of HF deterioration and implementation of appropriate therapy may prevent hospitalization and eventually improve a patient’s prognosis; however, depending on the patient’s presentation, the signs and symptoms of HF often offer too little therapeutic window to prevent hospitalizations. Cardiovascular implantable electronic devices (CIEDs) can provide real-time physiologic parameters and remote monitoring of these parameters can potentially help to identify patients at high risk. However, routine implementation of remote monitoring of CIEDs has still not been widely used in daily patient care. This review gives a detailed description of available metrics for remote HF monitoring, the studies that provide evidence of their efficacy, ways to implement them in clinical HF practice, as well as lessons learned on where to go on from where we currently are.
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Affiliation(s)
- Solmaz Assa
- Department of Cardiology, Treant Zorggroep, 7824 AA Emmen, The Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands
| | - Antonius M. W. van Stipdonk
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands
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22
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Kolk MZH, Narayan SM, Clopton P, Wilde AAM, Knops RE, Tjong FVY. Reduction in long-term mortality using remote device monitoring in a large real-world population of patients with implantable defibrillators. Europace 2023; 25:969-977. [PMID: 36636951 PMCID: PMC10062290 DOI: 10.1093/europace/euac280] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 11/23/2022] [Indexed: 01/14/2023] Open
Abstract
AIMS Remote monitoring (RM) for implantable cardioverter-defibrillators (ICDs) is advocated for the potential of early detection of disease progression and device dysfunction. While studies have examined the effect of RM on clinical outcomes in carefully selected populations of heart failure patients implanted with ICDs from a single vendor, there is a paucity of data in real-world patients. We aimed to assess the long-term effect of RM in a representative ICD population using real-world data. METHODS AND RESULTS This is an observational retrospective longitudinal study of 1004 patients implanted with an ICD or cardiac resynchronization therapy device (CRT-D) from all device vendors between 2010 and 2021. Patients started on RM (N = 403) within 90 days following de novo device implantation and yearly in-office visits were compared with patients with only bi-yearly in-office follow-up (non-RM, N = 601). In a propensity score matched cohort of 430 patients (mean age 61.4 ± 14.3 years, 26.7% female), all-cause mortality at 4-year was 12.6% in the RM and 27.7% in the non-RM group [hazard ratio (HR) 0.52, 95% confidence interval (CI) 0.32-0.82; P = 0.005]. No difference in inappropriate ICD-therapy (HR 1.90, 95% CI 0.86-4.21; P = 0.122) was observed. The risk of appropriate ICD-therapy (HR 1.71, 95% CI 1.07-2.74; P = 0.026) was higher in the RM group. CONCLUSION Remote monitoring was associated with a reduction in long-term all-cause and cardiac mortality compared with traditional office visits in a real-world ICD population.
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Affiliation(s)
- Maarten Z H Kolk
- Amsterdam UMC location AMC, Department of Cardiology, Amsterdam, The Netherlands; Amsterdam Cardiovascular Sciences, Heart failure & arrhythmias, Amsterdam, The Netherlands
| | - Sanjiv M Narayan
- Department of Medicine and Cardiovascular Institute, Stanford University, 780 Welch Road, MC 5773, Stanford, CA 94305, USA
| | - Paul Clopton
- Department of Medicine and Cardiovascular Institute, Stanford University, 780 Welch Road, MC 5773, Stanford, CA 94305, USA
| | - Arthur A M Wilde
- Amsterdam UMC location AMC, Department of Cardiology, Amsterdam, The Netherlands; Amsterdam Cardiovascular Sciences, Heart failure & arrhythmias, Amsterdam, The Netherlands
| | - Reinoud E Knops
- Amsterdam UMC location AMC, Department of Cardiology, Amsterdam, The Netherlands; Amsterdam Cardiovascular Sciences, Heart failure & arrhythmias, Amsterdam, The Netherlands
| | - Fleur V Y Tjong
- Amsterdam UMC location AMC, Department of Cardiology, Amsterdam, The Netherlands; Amsterdam Cardiovascular Sciences, Heart failure & arrhythmias, Amsterdam, The Netherlands
- Department of Medicine and Cardiovascular Institute, Stanford University, 780 Welch Road, MC 5773, Stanford, CA 94305, USA
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23
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Lehmann HI, Sharma K, Bhatia R, Mills T, Lang J, Li G, Andrews C, Cullivan J, Singh J, Mela T. Real-World Disparities in Remote Follow-Up of Cardiac Implantable Electronic Devices and Impact of the COVID-19 Pandemic: A Single-Center Experience. J Am Heart Assoc 2023; 12:e027500. [PMID: 36688364 PMCID: PMC9973665 DOI: 10.1161/jaha.122.027500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 12/16/2022] [Indexed: 01/24/2023]
Abstract
Background Remote monitoring (RM) of cardiac implantable electronic devices has been shown to improve cardiovascular morbidity and mortality. To date, no studies have investigated disparities in use and delivery of RM. This study was performed to investigate if racial and socioeconomic disparities are present in cardiac implantable electronic device RM. Methods and Results This was a retrospective observational cohort study at a single tertiary care center in the United States. Patients who received a newly implanted cardiac implantable electronic device or device upgrade between January 2017 and December 2020 were included. Patients were classified as RM positive (RM+) when they underwent at least ≥2 remote interrogations per year during follow-up. Of all eligible patients, 2520 patients were included, and 34% were women. The mean follow-up was 25 months. Mean age was 71±14 years. Pacemakers constituted 66% of implanted devices, whereas 26% were implantable cardioverter-defibrillators, and 8% were cardiac resynchronization therapy with implantable cardioverter-defibrillators. Most patients (83%) were of European American ancestry. During follow-up, 66% of patients were classified as RM+. Patients who were younger, European American, college-educated, lived in a county with higher median household income, and were active on the hospital's patient portals were more frequently RM+. In an adjusted regression model, RM+ remained associated with the use of the online patient portal (odds ratio [OR], 2.889 [95% CI, 2.387-3.497]), presence of an implantable cardioverter-defibrillator (OR, 1.489 [95% CI, 1.207-1.835]), advanced college degree (OR, 1.244 [95% CI, 1.014-1.527]), and lastly with European American ancestry (P<0.05). During the years of the COVID-19 pandemic, the number of RM+ patients increased, whereas the association with ancestry and ethnicity decreased. Conclusions Despite being offered to all patients at implantation, significant disparities were present in cardiovascular implantable electronic device RM in this cohort. Disparities were partly reversed during COVID-19. Further studies are needed to examine health center- and patient-specific factors to overcome these barriers, and to facilitate equal opportunities to participate in RM.
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Affiliation(s)
- H. Immo Lehmann
- Department of CardiologyMassachusetts General HospitalBostonMA
- Harvard Medical SchoolCambridgeMA
| | - Krishan Sharma
- Department of CardiologyMassachusetts General HospitalBostonMA
- Harvard Medical SchoolCambridgeMA
| | - Roma Bhatia
- Harvard Medical SchoolCambridgeMA
- Department of MedicineMassachusetts General HospitalBostonMA
| | - Theresa Mills
- Department of CardiologyMassachusetts General HospitalBostonMA
| | | | - Guoping Li
- Department of CardiologyMassachusetts General HospitalBostonMA
- Harvard Medical SchoolCambridgeMA
| | - Carl Andrews
- Department of CardiologyMassachusetts General HospitalBostonMA
| | - Jay Cullivan
- Department of CardiologyMassachusetts General HospitalBostonMA
| | - Jagmeet Singh
- Department of CardiologyMassachusetts General HospitalBostonMA
- Harvard Medical SchoolCambridgeMA
| | - Theofanie Mela
- Department of CardiologyMassachusetts General HospitalBostonMA
- Harvard Medical SchoolCambridgeMA
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24
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Heath K, O'Shea C, Thomas G, Harper C, Campbell K, Sanders P, Middeldorp ME. Impact of intensive follow-up of cardiac implantable electronic devices via remote monitoring: A pilot study. Heart Rhythm O2 2023; 4:90-96. [PMID: 36873319 PMCID: PMC9975000 DOI: 10.1016/j.hroo.2022.11.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background The volume of remote monitoring (RM) data generates a significant workload and is generally dealt with by clinic staff during standard office hours, potentially delaying clinical action. Objective The purpose of this study was to determine the clinical efficiency and workflow of implementing intensive RM (IRM) in patients with cardiac implantable electronic device (CIED) when compared with standard RM (SRM). Methods From a cohort of >1500 remotely monitored devices, 70 patients were randomly selected to undergo IRM. For comparison, an equal number of matched patients were prospectively selected for SRM. Intensive follow-up occurred via automated vendor-neutral software with rapid alert processing by International Board of Heart Rhythm Examiners-certified device specialists. Standard follow-up was conducted by clinic staff during office hours via individual device vendor interfaces. Alerts were categorized on the basis of the level of acuity as actionable (red [high], yellow [moderate]), or green [not requiring action]). Results Over 9 months of follow-up, 922 remote transmissions were received; 339 (36.8%) were coded as actionable alerts (118 in IRM and 221 in SRM; P < .001). The median time from initial transmission to review was 6 hours (interquartile range [IQR] 1.8-16.8 hours) in the IRM group compared with 10.5 hours (IQR 6.0-32.2 hours) in the SRM group (P < .001). The median time from transmission to review of actionable alerts in the IRM group was 5.1 hours (IQR 2.3-8.9 hours) compared with 9.1 hours (IQR 6.7-32.5 hours) in the SRM group (P < .001). Conclusion Intensive and managed RM results in a significant reduction in time to review alerts and number of actionable alerts. Monitoring with enhanced alert adjudication is needed to facilitate device clinic efficiency and optimize patient care. Study Registration ACTRN12621001275853.
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Affiliation(s)
- Kyle Heath
- Centre for Heart Rhythm Disorders (CHRD), University of Adelaide, Adelaide, South Australia, Australia
| | - Catherine O'Shea
- Centre for Heart Rhythm Disorders (CHRD), University of Adelaide, Adelaide, South Australia, Australia.,Royal Adelaide Hosptial, Adelaide, South Australia, Australia
| | - Gijo Thomas
- Centre for Heart Rhythm Disorders (CHRD), University of Adelaide, Adelaide, South Australia, Australia
| | | | | | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders (CHRD), University of Adelaide, Adelaide, South Australia, Australia.,Royal Adelaide Hosptial, Adelaide, South Australia, Australia
| | - Melissa E Middeldorp
- Centre for Heart Rhythm Disorders (CHRD), University of Adelaide, Adelaide, South Australia, Australia.,Cedar-Sinai Smidt Heart Institute, Los Angeles, California
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25
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Kowal D, Katarzyńska-Szymańska A, Prech M, Rubiś B, Mitkowski P. Early Smartphone App-Based Remote Diagnosis of Silent Atrial Fibrillation and Ventricular Fibrillation in a Patient with Cardiac Resynchronization Therapy Defibrillator. J Cardiovasc Dev Dis 2023; 10:jcdd10010030. [PMID: 36661925 PMCID: PMC9865368 DOI: 10.3390/jcdd10010030] [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: 12/10/2022] [Revised: 01/04/2023] [Accepted: 01/11/2023] [Indexed: 01/18/2023] Open
Abstract
Due to distressing statistics concerning cardiovascular diseases, remote monitoring of cardiac implantable electronic devices (CIED) has received a priority recommendation in daily patient care. However, most bedside systems available so far are not optimal due to limited patient adherence. We report that smartphone app technology communicating with CIED improved the patient's engagement and adherence, as well as the accuracy of atrial and ventricular arrhythmias diagnosis, thus offering more efficient treatment and, consequently, better patient clinical outcomes. Our findings are in concordance with previously published results for implantable loop recorders and pacemakers, and provide new insight for heart failure patients with an implanted cardiac resynchronization therapy defibrillator.
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Affiliation(s)
- Dagmar Kowal
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, 60-806 Poznan, Poland
- Doctoral School, Poznan University of Medical Sciences, 60-812 Poznan, Poland
- Correspondence: ; Tel.: +48-696-495-222 or +48-616-418-303
| | | | - Marek Prech
- Department of Cardiology, Provincial Hospital, 64-100 Leszno, Poland
| | - Błażej Rubiś
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, 60-806 Poznan, Poland
| | - Przemysław Mitkowski
- 1st Department of Cardiology, Poznan University of Medical Sciences, 60-355 Poznan, Poland
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26
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Guckel D, El Hamriti M, Rojas SV, Fox H, Costard-Jäckle A, Gummert J, Fink T, Sciacca V, Isgandarova K, Braun M, Khalaph M, Imnadze G, Schramm R, Morshuis M, Sommer P, Sohns C. The Role of Daily Implant-Based Multiparametric Telemonitoring in Patients with a Ventricular Assist Device. Life (Basel) 2022; 13:life13010038. [PMID: 36675986 PMCID: PMC9864752 DOI: 10.3390/life13010038] [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: 11/29/2022] [Revised: 12/09/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
The telemonitoring of heart failure (HF) patients is becoming increasingly important. This study aimed to evaluate the benefit of telemonitoring in end-stage HF patients with a ventricular-assistance device (VAD). A total of 26 HF-patients (66 ± 11 years, 88% male) on VAD therapy with an implantable cardioverter-defibrillator (ICD) or a cardiac resynchronization defibrillator (CRT-D) including telemonitoring function were enrolled. The long-term follow-up data (4.10 ± 2.58 years) were assessed. All the patients (n = 26, 100%) received daily ICD/CRT-D telemonitoring. In most of the patients (73%, n = 19), the telemedical center had to take action for a mean of three times. An acute alert due to sustained ventricular arrhythmias (VAs) occurred in 12 patients (63%) with 50% of them (n = 6) requiring ICD shock delivery. Eight patients (67%) were hospitalized due to symptomatic VAs. In 11 patients (92%), immediate medication adjustments were recommended. Relevant lead issues were revealed in thirteen patients (50%), with six patients (46%) undergoing consecutive lead revisions. Most of the events (83%) were detected within 24 h. Daily telemonitoring significantly reduced the number of in-hospital device controls by 44% (p < 0.01). The telemonitoring ensured that cardiac arrhythmias and device/lead problems were identified early, allowing pre-emptive and prompt interventions. In addition, the telemonitoring significantly reduced the number of in-hospital device controls in this cohort of HF patients.
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Affiliation(s)
- Denise Guckel
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Mustapha El Hamriti
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Sebastian V. Rojas
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Henrik Fox
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Angelika Costard-Jäckle
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Jan Gummert
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Thomas Fink
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Vanessa Sciacca
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Khuraman Isgandarova
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Martin Braun
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Moneeb Khalaph
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Guram Imnadze
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - René Schramm
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Michiel Morshuis
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Philipp Sommer
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Christian Sohns
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
- Correspondence: ; Tel.: +49-57-3197-1258
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27
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McGee MJ, Ray M, Brienesse SC, Sritharan S, Boyle AJ, Jackson N, Leitch JW, Sverdlov AL. Remote monitoring in patients with heart failure with cardiac implantable electronic devices: a systematic review and meta-analysis. Open Heart 2022; 9:openhrt-2022-002096. [PMID: 36442906 PMCID: PMC9710367 DOI: 10.1136/openhrt-2022-002096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/08/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Remote monitoring (RM) of cardiac implantable electronic devices (CIEDs) is now the standard of care, but whether the demonstrated benefits of RM translate into improvements in heart failure (HF) management is controversial. This systematic review addresses the role of RM in patients with HF with a CIED. METHODS AND RESULTS A systematic search of the literature for randomised clinical trials in patients with HF and a CIED assessing efficacy/effectiveness of RM was performed using MEDLINE, PubMed and Embase. Meta-analysis was performed on the effects of RM of CIEDs in patients with HF on mortality and readmissions. Effects on implantable cardiac defibrillator (ICD) therapy, healthcare costs and clinic presentations were also assessed.607 articles were identified and refined to 10 studies with a total of 6579 patients. Implementation of RM was not uniform with substantial variation in methodology across the studies. There was no reduction in mortality or hospital readmission rates, while ICD therapy findings were inconsistent. There was a reduction in patient-associated healthcare costs and reduction in healthcare presentations. CONCLUSION RM for patients with CIEDs and HF was not uniformly performed. As currently implemented, RM does not provide a benefit on overall mortality or the key metric of HF readmission. It does provide a reduction in healthcare costs and healthcare presentations. PROSPERO REGISTRATION NUMBER CRD42019129270.
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Affiliation(s)
- Michael J McGee
- Department of Cardiology, Tamworth Rural Referral Hospital, Tamworth, New South Wales, Australia,Department of Cardiology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - Max Ray
- Department of Cardiology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - Stepehn C Brienesse
- Department of Cardiology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - Shanathan Sritharan
- Department of Cardiology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - Andrew J Boyle
- Department of Cardiology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia,Hunter Medical Research Institute, Faculty of Health and Medicine, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Nicholas Jackson
- Department of Cardiology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - James W Leitch
- Department of Cardiology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - Aaron L Sverdlov
- Department of Cardiology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia,Hunter Medical Research Institute, Faculty of Health and Medicine, The University of Newcastle, Callaghan, New South Wales, Australia
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28
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Biomechanical Sensing Systems for Cardiac Activity Monitoring. Int J Biomater 2022; 2022:8312564. [PMID: 36438068 PMCID: PMC9699781 DOI: 10.1155/2022/8312564] [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: 09/24/2022] [Revised: 11/04/2022] [Accepted: 11/09/2022] [Indexed: 11/20/2022] Open
Abstract
Cardiovascular disease is consistently ranked high among the causes of death on a global scale. Monitoring of cardiovascular signs throughout the course of a long period of time and in real time is necessary in order to discover anomalies and begin early intervention at the appropriate time. To this purpose, a significant amount of interest among researchers has been directed toward the creation of flexible sensors that may be worn or implanted and are capable of constant, immediate observation of a variety of main physiological indicators. The real-time readings of the heart and arteries' pressure fluctuations can be reflected directly by mechanical sensors, which are one of the many types of sensors. Potential benefits of mechanical sensors include excellent accuracy and considerable versatility. Capacitive, piezoresistive, piezoelectric, and triboelectric principles are the foundations of the four types of mechanical sensors that are discussed in this article as recent developments for the purpose of monitoring the cardiovascular system. The biomechanical systems that are present in the cardiovascular system are then detailed, along with their monitoring, and this includes blood and endocardial pressure, pulse wave, and heart rhythm. In conclusion, we examine the usefulness of the use of continuous health monitoring for the treatment of vascular disease and highlight the difficulties associated with its translation into clinical practice.
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29
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Manyam H, Burri H, Casado-Arroyo R, Varma N, Lennerz C, Klug D, Carr-White G, Kolli K, Reyes I, Nabutovsky Y, Boriani G. Smartphone-based cardiac implantable electronic device remote monitoring: improved compliance and connectivity. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2022; 4:43-52. [PMID: 36743871 PMCID: PMC9890086 DOI: 10.1093/ehjdh/ztac071] [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: 06/17/2022] [Revised: 10/04/2022] [Indexed: 11/13/2022]
Abstract
Aims Remote monitoring (RM) is the standard of care for follow up of patients with cardiac implantable electronic devices. The aim of this study was to compare smartphone-based RM (SM-RM) using patient applications (myMerlinPulse™ app) with traditional bedside monitor RM (BM-RM). Methods and results The retrospective study included de-identified US patients who received either SM-RM or BM-RM capable of implantable cardioverter defibrillators or cardiac resynchronization therapy defibrillators (Abbott, USA). Patients in SM-RM and BM-RM groups were propensity-score matched on age and gender, device type, implant year, and month. Compliance with RM was quantified as the proportion of patients enrolling in the RM system (Merlin.net™) and transmitting data at least once. Connectivity was measured by the median number of days between consecutive transmissions per patient. Of the initial 9714 patients with SM-RM and 26 679 patients with BM-RM, 9397 patients from each group were matched. Remote monitoring compliance was higher in SM-RM; significantly more patients with SM-RM were enrolled in RM compared with BM-RM (94.4 vs. 85.0%, P < 0.001), similar number of patients in the SM-RM group paired their device (95.1 vs. 95.0%, P = 0.77), but more SM-RM patients transmitted at least once (98.1 vs. 94.3%, P < 0.001). Connectivity was significantly higher in the SM-RM, with patients transmitting data every 1.2 (1.1, 1.7) vs. every 1.7 (1.5, 2.0) days with BM-RM (P < 0.001) and remained better over time. Significantly more SM-RM patients utilized patient-initiated transmissions compared with BM-RM (55.6 vs. 28.1%, P < 0.001). Conclusion In this large real-world study, patients with SM-RM demonstrated improved compliance and connectivity compared with BM-RM.
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Affiliation(s)
- Harish Manyam
- Corresponding author. Tel: +1 423 778 5661, Fax: +1 423 778 5664,
| | - Haran Burri
- Cardiac Pacing Unit, Cardiology Department, University Hospital of Geneva, Rue Gabrielle Perret Gentil 4, 1205 Geneva, Switzerland
| | - Ruben Casado-Arroyo
- Department of Cardiology, Université Libre de Bruxelles, 1070 Bruxelles, Belgium
| | - Niraj Varma
- Cleveland Clinic Heart and Vascular Institute, Cleveland, OH, USA
| | - Carsten Lennerz
- Department of Electrophysiology, German Heart Centre Munich, 80636 Munich, Germany
| | - Didier Klug
- Department of Cardiology, University Hospital of Lille, 59037 Lille, France
| | - Gerald Carr-White
- Department of Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Kranthi Kolli
- Abbott, Global Data Science and Analytics, CA 95054, USA
| | - Ignacio Reyes
- Abbott, Global Data Science and Analytics, CA 95054, USA
| | | | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41124 Modena, Italy
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de Graaf G, Timmermans I, Meine M, Alings M, Pedersen SS, Mabo P, Zitron E, Redekop K, Versteeg H. Economic evaluation of remote monitoring of patients with an implantable cardiac defibrillator (REMOTE-CIED study). J Telemed Telecare 2022:1357633X221129176. [PMID: 36245363 DOI: 10.1177/1357633x221129176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Remote patient monitoring (RPM) of heart failure patients has the potential to reduce healthcare resource use and costs, but current evidence has been inconclusive. This study aims assess the impact of RPM of heart failure patients with an implantable cardioverter defibrillator on medical resource use, direct medical costs, quality-adjusted life years (QALYs), and travel time of patients, and to estimate its commercial headroom in the Netherlands and Germany. METHODS Data from the REMOTE-CIED randomized controlled trial were used to calculate differences in length of hospital stay, outpatient clinic visits, telephone consults, emergency room visits, and travel time between patients on in-clinic follow-up and RPM in the Netherlands, Germany, and France. Incremental cardiac-related healthcare costs and QALYs were calculated and used to calculate the commercial headroom of RPM in the Netherlands and Germany. The impact of imputation, parameter, and case-mix uncertainty on these outcomes was explored using probabilistic analysis. RESULTS Length of hospitalization, number of unscheduled admissions, and number of outpatient visits were lower in the remote monitoring group in all three countries. Number of hospital admissions was higher, and number of calls was lower in the Netherlands and Germany but not in France. Costs were lower in both the Netherlands (-€1041, 95% confidence interval (CI): -€3308, €1005) and Germany (-€2865, 95% CI: -€7619, €1105), while incremental effectiveness differed: -0.003 (95% CI: -0.114, 0.107) QALY in the Netherlands and +0.086 (95% CI: -0.083, 0.256) in Germany. Commercial headroom was estimated at €881 (95% CI: -€5430, €7208) in the Netherlands and €5005 (95% CI: -€1339, €11,960) in Germany. DISCUSSION RPM was found to result in reduced medical resource use and travel time. Whether it is cost saving or cost effective strongly depends on the costs of remote monitoring. TRIAL REGISTRATION NUMBER AND TRIAL REGISTER ClinicalTrials.gov: NCT01691586.
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Affiliation(s)
- Gimon de Graaf
- Institute for Medical Technology Assessment, 6984Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Ivy Timmermans
- Department of Cardiology, 8124University Medical Centre Utrecht, Utrecht, the Netherlands
- Department of Medical and Clinical Psychology, CoRPS - Center of Research on Psychology in Somatic Diseases, 7899Tilburg University, Tilburg, the Netherlands
| | - Mathias Meine
- Department of Cardiology, 8124University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Marco Alings
- Department of Cardiology, 8124University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Susanne S Pedersen
- Department of Psychology, 6174University of Southern Denmark, Odense, Denmark
- Department of Cardiology, 11286Odense University Hospital, Odense, Denmark
| | - Philippe Mabo
- Department of Cardiology, 36684Centre Hospitalier Universitaire, Rennes, France
| | - Edgar Zitron
- Department of Cardiology, 27178Universitätsklinikum Heidelberg, Heidelberg, Germany
| | - Ken Redekop
- Institute for Medical Technology Assessment, 6984Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Henneke Versteeg
- Department of Cardiology, 8124University Medical Centre Utrecht, Utrecht, the Netherlands
- Department of Medical and Clinical Psychology, CoRPS - Center of Research on Psychology in Somatic Diseases, 7899Tilburg University, Tilburg, the Netherlands
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Efficacy of ICD/CRT-D Remote Monitoring in Patients With HFrEF: a Bayesian Meta-analysis of Randomized Controlled Trials. Curr Heart Fail Rep 2022; 19:435-444. [PMID: 36205832 DOI: 10.1007/s11897-022-00579-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/12/2022] [Indexed: 10/10/2022]
Abstract
PURPOSE OF REVIEW To evaluate remote monitoring using implantable cardioverter-defibrillator (ICD) or cardiac resynchronization therapy defibrillator (CRT-D) devices as an adjunctive tool to the traditional care of patients with heart failure (HF). RECENT FINDINGS We included 11 trials encompassing 5965 patients. Absolute risk difference (ARD) with 95% credible interval (CrI) was estimated. Pooled (posterior) risk difference was computed using Bayesian hierarchical methods. The ARD for mortality was centered at - 0.01 (95% CrI: - 0.03; 0.01, Tau: 0.02), with an 82% probability of ARD of ICD/CRT-D remote monitoring with respect to control being less than 0. The ARD for cardiovascular mortality was centered at - 0.03 (95% CrI: - 0.11; 0.05, Tau: 0.10), with an 84% probability of ARD of ICD/CRT-D remote monitoring with respect to control being less than 0. ICD/CRT-D remote monitoring in patients with HF is associated with a higher probability of reduced all-cause and cardiovascular mortality compared with standard care alone.
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Hafkamp FJ, Tio RA, Otterspoor LC, de Greef T, van Steenbergen GJ, van de Ven ART, Smits G, Post H, van Veghel D. Optimal effectiveness of heart failure management - an umbrella review of meta-analyses examining the effectiveness of interventions to reduce (re)hospitalizations in heart failure. Heart Fail Rev 2022; 27:1683-1748. [PMID: 35239106 PMCID: PMC8892116 DOI: 10.1007/s10741-021-10212-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/15/2021] [Indexed: 12/11/2022]
Abstract
Heart failure (HF) is a major health concern, which accounts for 1-2% of all hospital admissions. Nevertheless, there remains a knowledge gap concerning which interventions contribute to effective prevention of HF (re)hospitalization. Therefore, this umbrella review aims to systematically review meta-analyses that examined the effectiveness of interventions in reducing HF-related (re)hospitalization in HFrEF patients. An electronic literature search was performed in PubMed, Web of Science, PsycInfo, Cochrane Reviews, CINAHL, and Medline to identify eligible studies published in the English language in the past 10 years. Primarily, to synthesize the meta-analyzed data, a best-evidence synthesis was used in which meta-analyses were classified based on level of validity. Secondarily, all unique RCTS were extracted from the meta-analyses and examined. A total of 44 meta-analyses were included which encompassed 186 unique RCTs. Strong or moderate evidence suggested that catheter ablation, cardiac resynchronization therapy, cardiac rehabilitation, telemonitoring, and RAAS inhibitors could reduce (re)hospitalization. Additionally, limited evidence suggested that multidisciplinary clinic or self-management promotion programs, beta-blockers, statins, and mitral valve therapy could reduce HF hospitalization. No, or conflicting evidence was found for the effects of cell therapy or anticoagulation. This umbrella review highlights different levels of evidence regarding the effectiveness of several interventions in reducing HF-related (re)hospitalization in HFrEF patients. It could guide future guideline development in optimizing care pathways for heart failure patients.
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Affiliation(s)
| | - Rene A. Tio
- Netherlands Heart Network, Veldhoven, The Netherlands
- Catharina Hospital, Eindhoven, The Netherlands
| | - Luuk C. Otterspoor
- Netherlands Heart Network, Veldhoven, The Netherlands
- Catharina Hospital, Eindhoven, The Netherlands
| | - Tineke de Greef
- Netherlands Heart Network, Veldhoven, The Netherlands
- Catharina Hospital, Eindhoven, The Netherlands
| | | | - Arjen R. T. van de Ven
- Netherlands Heart Network, Veldhoven, The Netherlands
- St. Anna Hospital, Geldrop, The Netherlands
| | - Geert Smits
- Netherlands Heart Network, Veldhoven, The Netherlands
- Primary care group Pozob, Veldhoven, The Netherlands
| | - Hans Post
- Netherlands Heart Network, Veldhoven, The Netherlands
- Catharina Hospital, Eindhoven, The Netherlands
| | - Dennis van Veghel
- Netherlands Heart Network, Veldhoven, The Netherlands
- Catharina Hospital, Eindhoven, The Netherlands
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Tang C, Liu Z, Li L. Mechanical Sensors for Cardiovascular Monitoring: From Battery-Powered to Self-Powered. BIOSENSORS 2022; 12:bios12080651. [PMID: 36005046 PMCID: PMC9405976 DOI: 10.3390/bios12080651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/14/2022] [Accepted: 08/15/2022] [Indexed: 11/30/2022]
Abstract
Cardiovascular disease is one of the leading causes of death worldwide. Long-term and real-time monitoring of cardiovascular indicators is required to detect abnormalities and conduct early intervention in time. To this end, the development of flexible wearable/implantable sensors for real-time monitoring of various vital signs has aroused extensive interest among researchers. Among the different kinds of sensors, mechanical sensors can reflect the direct information of pressure fluctuations in the cardiovascular system with the advantages of high sensitivity and suitable flexibility. Herein, we first introduce the recent advances of four kinds of mechanical sensors for cardiovascular system monitoring, based on capacitive, piezoresistive, piezoelectric, and triboelectric principles. Then, the physio-mechanical mechanisms in the cardiovascular system and their monitoring are described, including pulse wave, blood pressure, heart rhythm, endocardial pressure, etc. Finally, we emphasize the importance of real-time physiological monitoring in the treatment of cardiovascular disease and discuss its challenges in clinical translation.
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Affiliation(s)
- Chuyu Tang
- School of Physical Science and Technology, Guangxi University, Nanning 530004, China
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhirong Liu
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence: (Z.L.); (L.L.)
| | - Linlin Li
- School of Physical Science and Technology, Guangxi University, Nanning 530004, China
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence: (Z.L.); (L.L.)
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Naik MG, Budde K, Koehler K, Vettorazzi E, Pigorsch M, Arkossy O, Stuard S, Duettmann W, Koehler F, Winkler S. Remote Patient Management May Reduce All-Cause Mortality in Patients With Heart-Failure and Renal Impairment. Front Med (Lausanne) 2022; 9:917466. [PMID: 35899216 PMCID: PMC9309436 DOI: 10.3389/fmed.2022.917466] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/14/2022] [Indexed: 01/17/2023] Open
Abstract
BackgroundRemote patient management (RPM) in heart failure (HF) patients has been investigated in several prospective randomized trials. The Telemedical Interventional Management in Heart Failure II (TIM-HF2)-trial showed reduced all-cause mortality and hospitalizations in heart failure (HF) patients using remote patient management (RPM) vs. usual care (UC). We report the trial's results for prespecified eGFR-subgroups.MethodsTIM-HF2 was a prospective, randomized, controlled, parallel-group, unmasked (with randomization concealment), multicenter trial. A total of 1,538 patients with stable HF were enrolled in Germany from 2013 to 2017 and randomized to RPM (+UC) or UC. Using CKD-EPI-formula at baseline, prespecified subgroups were defined. In RPM, patients transmitted their vital parameters daily. The telemedical center reviewed and co-operated with the patient's General Practitioner (GP) and cardiologist. In UC, patients were treated by their GPs or cardiologist applying the current guidelines for HF management and treatment. The primary endpoint was the percentage of days lost due to unplanned cardiovascular hospitalizations or death, secondary outcomes included hospitalizations, all-cause, and cardiovascular mortality.ResultsOur sub analysis showed no difference between RPM and UC in both eGFR-subgroups for the primary endpoint (<60 ml/min/1.73 m2: 40.9% vs. 43.6%, p = 0.1, ≥60 ml/min/1.73 m2 26.5 vs. 29.3%, p = 0.36). In patients with eGFR < 60 ml/min/1.73 m2, 1-year-survival was higher in RPM than UC (89.4 vs. 84.6%, p = 0.02) with an incident rate ratio (IRR) 0.67 (p = 0.03). In the recurrent event analysis, HF hospitalizations and all-cause death were lower in RPM than UC in both eGFR-subgroups (<60 ml/min/1.73 m2: IRR 0.70, p = 0.02; ≥60 ml/min/1.73 m2: IRR 0.64, p = 0.04). In a cox regression analysis, age, NT-pro BNP, eGFR, and BMI were associated with all-cause mortality.ConclusionRPM may reduce all-cause mortality and HF hospitalizations in patients with HF and eGFR < 60 ml/min/1.73 m2. HF hospitalizations and all-cause death were lower in RPM in both eGFR-subgroups in the recurrent event analysis. Further studies are needed to investigate and confirm this finding.
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Affiliation(s)
- Marcel G. Naik
- Charité—Universitätsmedizin Berlin, Department of Nephrology and Medical Intensive Care, Charité University Medicine Berlin, Berlin, Germany
- Berlin Institute of Health, Charité Medical University of Berlin, Berlin, Germany
- *Correspondence: Marcel G. Naik
| | - Klemens Budde
- Charité—Universitätsmedizin Berlin, Department of Nephrology and Medical Intensive Care, Charité University Medicine Berlin, Berlin, Germany
| | - Kerstin Koehler
- Charité—Universitätsmedizin Berlin, Medical Department, Division of Cardiology and Angiology, Centre for Cardiovascular Telemedicine, Berlin, Germany
| | - Eik Vettorazzi
- University Medical Center Hamburg-Eppendorf, Institute of Medical Biometry and Epidemiology, Hamburg, Germany
| | - Mareen Pigorsch
- Charité—Universitätsmedizin Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany
| | - Otto Arkossy
- Global Medical Office, Clinical and Therapeutical Governance Europe Middle East Asia, Fresenius Medical Care, Bad Homburg, Germany
| | - Stefano Stuard
- Global Medical Office, Clinical and Therapeutical Governance Europe Middle East Asia, Fresenius Medical Care, Bad Homburg, Germany
| | - Wiebke Duettmann
- Charité—Universitätsmedizin Berlin, Department of Nephrology and Medical Intensive Care, Charité University Medicine Berlin, Berlin, Germany
- Berlin Institute of Health, Charité Medical University of Berlin, Berlin, Germany
| | - Friedrich Koehler
- Charité—Universitätsmedizin Berlin, Medical Department, Division of Cardiology and Angiology, Centre for Cardiovascular Telemedicine, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Gottingen, Germany
| | - Sebastian Winkler
- Charité—Universitätsmedizin Berlin, Medical Department, Division of Cardiology and Angiology, Centre for Cardiovascular Telemedicine, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Gottingen, Germany
- Unfallkrankenhaus Berlin, Department of Internal Medicine, Berlin, Germany
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Leitch J, Asakai H, Dawson L, Medi C, Norman M, Stevenson I, Toal E, Turnbull S, Young G. Cardiac Society of Australia and New Zealand (CSANZ) Position Statement on the Follow-Up of Cardiovascular Implantable Electronic Devices 2022. Heart Lung Circ 2022; 31:1054-1063. [PMID: 35760743 DOI: 10.1016/j.hlc.2022.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 05/05/2022] [Indexed: 11/15/2022]
Abstract
Recognising the need for a national approach for the recommended best practice for the follow-up of implanted cardiac rhythm devices to ensure patient safety, this document has been produced by the Cardiac Society of Australia and New Zealand (CSANZ). It draws on accepted practice standards and guidelines of international electrophysiology bodies. It lays out methodology, frequency, and content of follow-up, including remote monitoring; personnel, including physician, allied health, nursing and industry; paediatric and adult congenital heart patients; and special considerations including magnetic resonance imaging scanning, perioperative management, and hazard alerts.
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Affiliation(s)
| | - James Leitch
- John Hunter Hospital, Newcastle, NSW, Australia.
| | - Hiroko Asakai
- The Children's Hospital at Westmead, Heart Centre for Children, Sydney, NSW, Australia
| | | | - Caroline Medi
- Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | | | | | - Edward Toal
- Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Samual Turnbull
- Department of Cardiology, Westmead Hospital, Sydney, NSW, Australia
| | - Glenn Young
- Royal Adelaide Hospital, Adelaide, SA, Australia
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Frodi DM, Manea V, Diederichsen SZ, Svendsen JH, Wac K, Andersen TO. Using Consumer-Wearable Activity Trackers for Risk Prediction of Life-Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter-Defibrillator: An Exploratory Observational Study. J Pers Med 2022; 12:jpm12060942. [PMID: 35743727 PMCID: PMC9225164 DOI: 10.3390/jpm12060942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 05/29/2022] [Accepted: 06/05/2022] [Indexed: 11/16/2022] Open
Abstract
Ventricular arrhythmia (VA) is a leading cause of sudden death and health deterioration. Recent advances in predictive analytics and wearable technology for behavior assessment show promise but require further investigation. Yet, previous studies have only assessed other health outcomes and monitored patients for short durations (7−14 days). This study explores how behaviors reported by a consumer wearable can assist VA risk prediction. An exploratory observational study was conducted with participants who had an implantable cardioverter-defibrillator (ICD) and wore a Fitbit Alta HR consumer wearable. Fitbit reported behavioral markers for physical activity (light, fair, vigorous), sleep, and heart rate. A case-crossover analysis using conditional logistic regression assessed the effects of time-adjusted behaviors over 1−8 weeks on VA incidence. Twenty-seven patients (25 males, median age 59 years) were included. Among the participants, ICDs recorded 262 VA events during 8093 days monitored by Fitbit (median follow-up period 960 days). Longer light to fair activity durations and a higher heart rate increased the odds of a VA event (p < 0.001). In contrast, lengthier fair to vigorous activity and sleep durations decreased the odds of a VA event (p < 0.001). Future studies using consumer wearables in a larger population should prioritize these outcomes to further assess VA risk.
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Affiliation(s)
- Diana My Frodi
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark; (D.M.F.); (S.Z.D.); (J.H.S.)
| | - Vlad Manea
- Department of Computer Science, Faculty of Science, University of Copenhagen, 2100 Copenhagen, Denmark; (V.M.); (K.W.)
- Vital Beats ApS, 1434 Copenhagen, Denmark
| | - Søren Zöga Diederichsen
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark; (D.M.F.); (S.Z.D.); (J.H.S.)
| | - Jesper Hastrup Svendsen
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark; (D.M.F.); (S.Z.D.); (J.H.S.)
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Katarzyna Wac
- Department of Computer Science, Faculty of Science, University of Copenhagen, 2100 Copenhagen, Denmark; (V.M.); (K.W.)
- Quality of Life Technologies Lab, Center for Informatics, University of Geneva, 1227 Carouge, Switzerland
| | - Tariq Osman Andersen
- Department of Computer Science, Faculty of Science, University of Copenhagen, 2100 Copenhagen, Denmark; (V.M.); (K.W.)
- Vital Beats ApS, 1434 Copenhagen, Denmark
- Correspondence: or ; Tel.: +45-26-14-91-69
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Should We Check It? Assessing Interrogation of Cardiac Implantable Electronic Devices in the Emergency Department-The CHECK-ED Study: Implications for Service Planning and Care Delivery. Heart Lung Circ 2022; 31:1119-1125. [PMID: 35461785 DOI: 10.1016/j.hlc.2022.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/04/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Requests from the emergency department (ED) for cardiac implantable electronic device (CIED) checks constitute a large workload for cardiac electrophysiology services. We sought to determine the yield of, and clinical characteristics associated with, clinically relevant (remarkable) issues from ED CIED checks. METHODS Consecutive CIED checks from our ED over a 12-month period were studied. A remarkable issue (RI) was defined as arrhythmia relating to the presentation or device/lead issue requiring reprogramming or intervention. The association between the presenting complaint and an RI was assessed using regression analysis. Multivariable regression model was used to identify pre-specified patient-level characteristics that were predictive of a RI. RESULTS A RI was found in 28% (n=98) of 354 ED CIED checks for 306 patients (76±16 yrs 59% male). Most patients had no RI (n=224 73%). One third of checks occurred after-hours and these had a higher yield of RIs than those during routine clinic hours (35% vs 23% p=0.018). Presenting with a perceived ICD shock was predictive of a RI (odds ratio [OR] 6.0 95% CI=1.8-20.0). Syncope/presyncope was five-fold less likely to be predictive of a RI (OR 0.19 95% CI=0.13-0.28) despite being the most common indication for CIED check (51% n=180 checks). Only history of AF was predictive of RI while advancing age was predictive of not finding a RI. CONCLUSION Almost three-quarters of ED CIED checks did not yield any RI. Patient-reported ICD shock and history of AF were predictive of RI, while syncope/presyncope was not. New models of care especially during after-hours, may help to reduce the burden on cardiac electrophysiology services and health care costs.
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A mobile app for improving the compliance with remote management of patients with cardiac implantable devices: a multicenter evaluation in clinical practice. J Interv Card Electrophysiol 2022; 64:257-264. [PMID: 35412167 PMCID: PMC9002029 DOI: 10.1007/s10840-022-01207-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 03/29/2022] [Indexed: 12/04/2022]
Abstract
Background The remote device management (RM) is recommended for patients with cardiac implantable electronic devices (CIEDs). RM underutilization is frequently driven by the lack of correct system activation. The MyLATITUDE Patient App (Boston Scientific) has been developed to encourage patient compliance with RM by providing information on communicator setup, troubleshooting, and connection status of the communicator. Methods At 14 centers, patients with CIEDs were invited to download and install the App on a mobile device. After 3 months, patients were asked to complete an ad hoc questionnaire to evaluate their experience. Results The App was proposed to 242 consecutive patients: 81 before RM activation, and 161 during follow-up. The App was successfully installed by 177 (73%) patients. The time required for activation of the communicator and the need for additional support were similar between patients who followed the indications provided by the App and those who underwent standard in-clinic training. During follow-up, notifications of lack of connection were received by 20 (11%) patients and missed transmission by 22 (12%). The median time from notification to resolution was 2 days. After 3 months, 175 (99%) communicators of the 177 patients who installed the App were in “Monitored” status versus 113 (94%) of 120 patients without the App installed (p=0.033). The use of the app made 84% of patients feel reassured. Conclusions The App was well accepted by CIED patients and offered support for communicator management and installation. Its use enabled patients to remain connected with greater continuity during follow-up.
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Kotalczyk A, Imberti JF, Lip GYH, Wright DJ. Telemedical Monitoring Based on Implantable Devices-the Evolution Beyond the CardioMEMS™ Technology. Curr Heart Fail Rep 2022; 19:7-14. [PMID: 35174451 PMCID: PMC8853059 DOI: 10.1007/s11897-021-00537-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/22/2021] [Indexed: 12/11/2022]
Abstract
Purpose of the Review We aimed to provide an overview of telemedical monitoring and its impact on outcomes among heart failure (HF) patients. Recent Findings Most HF readmissions may be prevented if clinical parameters are strictly controlled via telemedical monitoring. Predictive algorithms for patients with cardiovascular implantable electronic devices (e.g., Triage-HF Plus by Medtronic or HeartLogic by Boston Scientific) were developed to identify patients at significantly increased risk of HF events. However, randomized control trial-based data are heterogeneous regarding the advantages of telemedical monitoring in HF patients. The likelihood of adverse clinical outcomes increases when pulmonary artery pressure (PAP) rises, usually days to weeks before clinical manifestations of HF. A wireless monitoring system (CardioMEMS™) detecting changes in PAP was proposed for HF patients. CardioMEMS™ transmits data to the healthcare provider and allows to institute timely intensification of HF therapies. CardioMEMS™-guided pharmacotherapy reduced a risk of HF-related hospitalization (hazard ratio [HR]: 0.72; 95% confidence interval (CI) 0.60–0–0.85; p < 0.01). Summary Relevant developments and innovations of telemedical care may improve clinical outcomes among HF patients. The use of CardioMEMS™ was found to be safe and cost-effective by reducing the rates of HF hospitalizations.
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Affiliation(s)
- Agnieszka Kotalczyk
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK.,Department of Cardiology, Congenital Heart Diseases and Electrotherapy, Medical University of Silesia, Silesian Centre for Heart Diseases, Zabrze, Poland
| | - Jacopo F Imberti
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK.,Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico Di Modena, Modena, Italy
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK.,Department of Cardiology, Congenital Heart Diseases and Electrotherapy, Medical University of Silesia, Silesian Centre for Heart Diseases, Zabrze, Poland.,Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - David Justin Wright
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK. .,Liverpool Heart & Chest Hospital, Liverpool, UK.
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Philippon F, Domain G, Sarrazin JF, Nault I, O’Hara G, Champagne J, Steinberg C. Evolution of Devices to Prevent Sudden Cardiac Death: Contemporary Clinical Impacts. Can J Cardiol 2022; 38:515-525. [DOI: 10.1016/j.cjca.2022.01.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/13/2022] [Accepted: 01/15/2022] [Indexed: 12/12/2022] Open
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Zaman SB, Khan RK, Evans RG, Thrift AG, Maddison R, Islam SMS. Exploring Barriers to and Enablers of the Adoption of Information and Communication Technology for the Care of Older Adults With Chronic Diseases: Scoping Review. JMIR Aging 2022; 5:e25251. [PMID: 34994695 PMCID: PMC8783284 DOI: 10.2196/25251] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 05/10/2021] [Accepted: 09/26/2021] [Indexed: 02/06/2023] Open
Abstract
Background Information and communication technology (ICT) offers considerable potential for supporting older adults in managing their health, including chronic diseases. However, there are mixed opinions about the benefits and effectiveness of ICT interventions for older adults with chronic diseases. Objective We aim to map the use of ICT interventions in health care and identified barriers to and enablers of its use among older adults with chronic disease. Methods A scoping review was conducted using 5 databases (Ovid MEDLINE, Embase, Scopus, PsycINFO, and ProQuest) to identify eligible articles from January 2000 to July 2020. Publications incorporating the use of ICT interventions, otherwise known as eHealth, such as mobile health, telehealth and telemedicine, decision support systems, electronic health records, and remote monitoring in people aged ≥55 years with chronic diseases were included. We conducted a strengths, weaknesses, opportunities, and threats framework analysis to explore the implied enablers of and barriers to the use of ICT interventions. Results Of the 1149 identified articles, 31 (2.7%; n=4185 participants) met the inclusion criteria. Of the 31 articles, 5 (16%) mentioned the use of various eHealth interventions. A range of technologies was reported, including mobile health (8/31, 26%), telehealth (7/31, 23%), electronic health record (2/31, 6%), and mixed ICT interventions (14/31, 45%). Various chronic diseases affecting older adults were identified, including congestive heart failure (9/31, 29%), diabetes (7/31, 23%), chronic respiratory disease (6/31, 19%), and mental health disorders (8/31, 26%). ICT interventions were all designed to help people self-manage chronic diseases and demonstrated positive effects. However, patient-related and health care provider–related challenges, in integrating ICT interventions in routine practice, were identified. Barriers to using ICT interventions in older adults included knowledge gaps, a lack of willingness to adopt new skills, and reluctance to use technologies. Implementation challenges related to ICT interventions such as slow internet connectivity and lack of an appropriate reimbursement policy were reported. Advantages of using ICT interventions include their nonpharmacological nature, provision of health education, encouragement for continued physical activity, and maintenance of a healthy diet. Participants reported that the use of ICT was a fun and effective way of increasing their motivation and supporting self-management tasks. It gave them reassurance and peace of mind by promoting a sense of security and reducing anxiety. Conclusions ICT interventions have the potential to support the care of older adults with chronic diseases. However, they have not been effectively integrated with routine health care. There is a need to improve awareness and education about ICT interventions among those who could benefit from them, including older adults, caregivers, and health care providers. More sustainable funding is required to promote the adoption of ICT interventions. We recommend involving clinicians and caregivers at the time of designing ICT interventions.
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Affiliation(s)
- Sojib Bin Zaman
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Raihan Kabir Khan
- Department of Health Sciences, James Madison University, Harrisonburg, VA, United States
| | - Roger G Evans
- Cardiovascular Disease Program, Biomedicine Discovery Institute, Monash University, Melbourne, Australia.,Department of Physiology, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Amanda G Thrift
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Ralph Maddison
- Institute for Physical Activity and Nutrition, School of Exercise & Nutrition Sciences, Deakin University, Geelong, Australia
| | - Sheikh Mohammed Shariful Islam
- Institute for Physical Activity and Nutrition, School of Exercise & Nutrition Sciences, Deakin University, Geelong, Australia
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Matthiesen S, Diederichsen SZ, Hansen MKH, Villumsen C, Lassen MCH, Jacobsen PK, Risum N, Winkel BG, Philbert BT, Svendsen JH, Andersen TO. Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study. JMIR Hum Factors 2021; 8:e26964. [PMID: 34842528 PMCID: PMC8665383 DOI: 10.2196/26964] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 03/23/2021] [Accepted: 10/11/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Artificial intelligence (AI), such as machine learning (ML), shows great promise for improving clinical decision-making in cardiac diseases by outperforming statistical-based models. However, few AI-based tools have been implemented in cardiology clinics because of the sociotechnical challenges during transitioning from algorithm development to real-world implementation. OBJECTIVE This study explored how an ML-based tool for predicting ventricular tachycardia and ventricular fibrillation (VT/VF) could support clinical decision-making in the remote monitoring of patients with an implantable cardioverter defibrillator (ICD). METHODS Seven experienced electrophysiologists participated in a near-live feasibility and qualitative study, which included walkthroughs of 5 blinded retrospective patient cases, use of the prediction tool, and questionnaires and interview questions. All sessions were video recorded, and sessions evaluating the prediction tool were transcribed verbatim. Data were analyzed through an inductive qualitative approach based on grounded theory. RESULTS The prediction tool was found to have potential for supporting decision-making in ICD remote monitoring by providing reassurance, increasing confidence, acting as a second opinion, reducing information search time, and enabling delegation of decisions to nurses and technicians. However, the prediction tool did not lead to changes in clinical action and was found less useful in cases where the quality of data was poor or when VT/VF predictions were found to be irrelevant for evaluating the patient. CONCLUSIONS When transitioning from AI development to testing its feasibility for clinical implementation, we need to consider the following: expectations must be aligned with the intended use of AI; trust in the prediction tool is likely to emerge from real-world use; and AI accuracy is relational and dependent on available information and local workflows. Addressing the sociotechnical gap between the development and implementation of clinical decision-support tools based on ML in cardiac care is essential for succeeding with adoption. It is suggested to include clinical end-users, clinical contexts, and workflows throughout the overall iterative approach to design, development, and implementation.
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Affiliation(s)
- Stina Matthiesen
- Department of Computer Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
- Vital Beats, Copenhagen, Denmark
| | - Søren Zöga Diederichsen
- Vital Beats, Copenhagen, Denmark
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | | | | | - Peter Karl Jacobsen
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Niels Risum
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Bo Gregers Winkel
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Berit T Philbert
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jesper Hastrup Svendsen
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tariq Osman Andersen
- Department of Computer Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
- Vital Beats, Copenhagen, Denmark
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Lopez-Villegas A, Leal-Costa C, Perez-Heredia M, Villegas-Tripiana I, Catalán-Matamoros D. Knowledge Update on the Economic Evaluation of Pacemaker Telemonitoring Systems. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182212120. [PMID: 34831876 PMCID: PMC8624333 DOI: 10.3390/ijerph182212120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 11/15/2021] [Accepted: 11/16/2021] [Indexed: 11/16/2022]
Abstract
(1) Introduction: In the last two decades, telemedicine has been increasingly applied to telemonitoring (TM) of patients with pacemakers; however, presently, its growth has significantly accelerated because of the COVID-19 pandemic, which has pushed patients and healthcare workers alike to seek new ways to stay healthy with minimal physical contact. Therefore, the main objective of this study was to update the current knowledge on the differences in the medium-and long-term effectiveness of TM and conventional monitoring (CM) in relation to costs and health outcomes. (2) Methods: Three databases and one scientific registry were searched (PubMed, EMBASE, Scopus, and Google Scholar), with no restrictions on language or year of publication. Studies published until July 2021 were included. The inclusion criteria were: (a) experimental or observational design, (b) complete economic evaluation, (c) patients with implanted pacemakers, and (d) comparison of TM with CM. Measurements of study characteristics (author, study duration, sample size, age, sex, major indication for implantation, and pacemaker used), analysis, significant results of the variables (analysis performed, primary endpoints, secondary endpoints, health outcomes, and cost outcomes), and further miscellaneous measurements (methodological quality, variables coded, instrument development, coder training, and intercoder reliability, etc.) were included. (3) Results: 11 studies met the inclusion criteria, consisting of 3372 enrolled patients; 1773 (52.58%) of them were part of randomized clinical trials. The mean age was 72 years, and the atrioventricular block was established as the main indication for device implantation. TM was significantly effective in detecting the presence or absence of pacemaker problems, leading to a reduction in the number of unscheduled hospital visits (8.34-55.55%). The cost of TM was up to 87% lower than that of CM. There were no significant differences in health-related quality of life (HRQoL) and the number of cardiovascular events. (4) Conclusions: Most of the studies included in this systematic review confirm that in the TM group of patients with pacemakers, cardiovascular events are detected and treated earlier, and the number of unscheduled visits to the hospital is significantly reduced, without affecting the HRQoL of patients. In addition, with TM modality, both formal and informal costs are significantly reduced in the medium and long term.
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Affiliation(s)
- Antonio Lopez-Villegas
- Social Involvement of Critical and Emergency Medicine, CTS-609 Research Group, Poniente Hospital, 04700 El Ejido-Almería, Spain;
| | - César Leal-Costa
- Nursing Department, University of Murcia, 30120 Murcia, Spain
- Correspondence: ; Tel.: +34-868-889-771
| | - Mercedes Perez-Heredia
- Research Management Department, Primary Care District Poniente of Almería, 04700 El Ejido-Almería, Spain;
| | | | - Daniel Catalán-Matamoros
- UC3M MediaLab, Department of Communication and Media Studies, Madrid University Carlos III, 28903 Madrid, Spain;
- Health Sciences Research Institute, University of Almería, 04120 Almería, Spain
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van Steenbergen G, Ben Jaddi O, Theuns D, van Veghel D, Dekker L, Simmers T. The value of remote care in the reduction of healthcare utilization in implantable cardioverter-defibrillator patients. PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2021; 44:2005-2014. [PMID: 34699622 DOI: 10.1111/pace.14390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 08/24/2021] [Accepted: 10/17/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Minimal evidence is available of the reduction in healthcare utilization of remote care in ICD patients over a longer period of follow-up. OBJECTIVES This study compared healthcare utilization up to 3 year follow-up in implantable cardioverter-defibrillator (ICD) patients with remote care compared to conventional care. METHODS We conducted a retrospective cohort study of patients who received a single or dual-chamber ICD or cardiac resynchronization therapy-defibrillator (CRT-D) between 2016 and 2018. Patients with remote care and patients were compared with patients with received conventional care (control group). The primary endpoint was a composite of cardiac follow-up visits, ICD follow-up visits, telephone consultations, emergency department (ED) visits and hospital admissions and was defined as total healthcare utilization. The secondary endpoints were the individual care activities and one-year all-cause mortality. RESULTS A total of 497 patients were included in the study, of which 299 patients were allocated to the remote care and 198 patients to the control group. Mean follow-up was 815 ± 279 days. Remote care was associated with a significantly lower rate of adjusted total healthcare utilization in comparison to the control group that sustained for 3 subsequent follow-up years (IRR = 0.78, 95% CI [0.67 to 0.92], p < .01). One-year all-cause mortality was similar between the remote care and control group (respectively 3.0% vs. 5.5%, p = .29). CONCLUSIONS Compared to the standard follow-up of in-office care, a remote care program was associated with a sustained lower rate of planned and unplanned healthcare utilization up to 3 subsequent years after ICD/CRT-D implantation.
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Affiliation(s)
| | - Oumaima Ben Jaddi
- Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, Netherlands
| | - Dominic Theuns
- Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Lukas Dekker
- Catharina Heart Center, Catharina Hospital, Eindhoven, Netherlands.,Department of Biomedical Technology, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Tim Simmers
- Catharina Heart Center, Catharina Hospital, Eindhoven, Netherlands
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Efficacy of remote physiological monitoring-guided care for chronic heart failure: an updated meta-analysis. Heart Fail Rev 2021; 27:1627-1637. [PMID: 34609716 DOI: 10.1007/s10741-021-10176-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/24/2021] [Indexed: 10/20/2022]
Abstract
Previous studies have reported contradictory findings on the utility of remote physiological monitoring (RPM)-guided management of patients with chronic heart failure (HF). Multiple databases were searched for studies that evaluated the clinical efficacy of RPM-guided management versus standard of care (SOC) for HF patients. The primary outcome was HF-related hospitalization (HFH). The secondary outcomes were all-cause mortality, cardiovascular-related (CV) mortality, and emergency department (ED) visits. Pooled relative risk (RR) and corresponding 95% confidence intervals (CIs) were calculated and combined using a random-effects model. A total of 16 randomized controlled trials, including 8679 HF patients (4574 managed with RPM-guided therapy vs. 4105 managed with SOC), were included in the final analysis. The average follow-up period was 15.2 months. There was no significant difference in HFH rate between the two groups (RR: 0.94; 95% CI: 0.84-1.07; P = 0.36). Similarly, there were no significant differences in CV mortality (RR 0.86, 95% CI 0.73-1.02, P = 0.08) or in ED visits (RR 0.80, 95% CI 0.59-1.08, P = 0.14). However, RPM-guided therapy was associated with a borderline statistically significant reduction in all-cause mortality (RR: 0.88; 95% CI: 0.78-1.00; P = 0.05). Subgroup analysis based on the strategy of RPM showed that both hemodynamic and arrhythmia telemonitoring-guided management can reduce the risk of HFH (RR: 0.79; 95% CI: 0.64-0.97; P = 0.02) and (RR: 0.79; 95% CI: 0.67-0.94; P = 0.008) respectively. Our study demonstrated that RPM-guided diuretic therapy of HF patients did not reduce the risk of HFH but can improve survival. Hemodynamic and arrhythmia telemonitoring-guided management could reduce the risk of HF-related hospitalizations.
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Implantable Cardiac Defibrillator or Cardiac Resynchronization Therapy in Severe Cardiomyopathy: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Am J Ther 2021; 27:e652-e657. [PMID: 32427620 DOI: 10.1097/mjt.0000000000001028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Remote monitoring for heart failure using implantable devices: a systematic review, meta-analysis, and meta-regression of randomized controlled trials. Heart Fail Rev 2021; 27:1281-1300. [PMID: 34559368 PMCID: PMC8460850 DOI: 10.1007/s10741-021-10150-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/14/2021] [Indexed: 12/28/2022]
Abstract
In heart failure (HF) patients, remote monitoring using implantable devices may be used to predict and reduce HF exacerbations and mortality. Data from randomized controlled trials (RCTs) was assessed to determine the effectiveness of implantable remote monitoring on the improvement of outcomes in HF patients. A systematic review and meta-analysis of RCTs testing remote monitoring versus standard of care for management of HF patients was performed. Primary endpoints were all-cause mortality and a composite of cardiovascular (CV) and HF hospitalizations. Rate ratios (RRs) and 95% confidence intervals (CI) were calculated. A secondary analysis tested for heterogeneity of treatment effect (HTE) comparing right ventricular/pulmonary pressure monitoring versus impedance-based monitoring on hospitalization. A regression analysis was performed using the mean follow-up time as the moderator on each primary endpoint. Eleven RCTs (n = 6196) were identified with a mean follow-up of 21.9 months. The mean age and reported ejection fraction were 64.1 years and 27.7%, respectively. Remote monitoring did not reduce mortality (RR 0.89 [95% CI 0.77, 1.03]) or the composite of CV and HF hospitalizations (RR 0.98 [0.81, 1.19]). Subgroup analysis found significant HTE for hospitalizations between those studies that used right ventricular/pulmonary pressure monitoring versus impedance-based monitoring (I2 = 87.1%, chi2 = 7.75, p = 0.005). Regression analysis found no relationship between the log rate ratio of remote monitoring’s effect on mortality, CV hospitalization or HF hospitalization, and mean follow-up time. Compared to standard of care, remote monitoring using implantable devices did not reduce mortality, CV, or HF hospitalizations. However, right ventricular/pulmonary pressure monitoring may reduce HF hospitalizations, which will need to be explored in future studies.
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Maines M, Palmisano P, Del Greco M, Melissano D, De Bonis S, Baccillieri S, Zanotto G, D’Onofrio A, Ricci RP, De Ponti R, Boriani G. Impact of COVID-19 Pandemic on Remote Monitoring of Cardiac Implantable Electronic Devices in Italy: Results of a Survey Promoted by AIAC (Italian Association of Arrhythmology and Cardiac Pacing). J Clin Med 2021; 10:jcm10184086. [PMID: 34575197 PMCID: PMC8469719 DOI: 10.3390/jcm10184086] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/18/2021] [Accepted: 09/02/2021] [Indexed: 11/21/2022] Open
Abstract
The COVID-19 pandemic has had a profound impact on the organisation of health care in Italy, with an acceleration in the development of telemedicine. To assess the impact of the COVID-19 pandemic on the spread of remote monitoring (RM) of cardiac implantable electronic devices (CIEDs) in Italy, a survey addressed to cardiologists operating in all Italian CIED-implanting centres was launched. A total of 127 cardiologists from 116 Italian arrhythmia centres took part in the survey, 41.0% of all 283 CIED-implanting centres operating in Italy in 2019. All participating centres declared to use RM of CIEDs. COVID-19 pandemic resulted in an increase in the use of RM in 83 (71.6%) participating centres. In a temporal perspective, an increase in the median number of patients per centre followed up by RM was found from 2012 to 2017, followed by an exponential increase from 2017 to 2020. In 36 participating centres (31.0%) a telehealth visits service was activated as a replacement for in-person outpatient visits (in patients with or without CIED) during the COVID-19 pandemic. COVID-19 pandemic has caused an acceleration in the use of RM of CIEDs and in the use of telemedicine in the clinical practice of cardiology.
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Affiliation(s)
| | - Pietro Palmisano
- Cardiology Unit, “Card. G. Panico” Hospital, 73039 Tricase, Italy
- Correspondence:
| | - Maurizio Del Greco
- Santa Maria del Carmine Hospital, 38068 Rovereto, Italy; (M.M.); (M.D.G.)
| | | | - Silvana De Bonis
- Department of Cardiology, Ospedale “Ferrari”, 87012 Castrovillari, Italy;
| | | | | | - Antonio D’Onofrio
- Electrophysiology and Cardiac Pacing Unit, A.O.R.N, Ospedali dei Colli-Monaldi, 80131 Naples, Italy;
| | | | - Roberto De Ponti
- Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy;
| | - Giuseppe Boriani
- Department of Biomedical, Metabolic and Neural Sciences, Cardiology Division, University of Modena and Reggio Emilia, Policlinico di Modena, 41121 Modena, Italy;
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Tilz RR, Shaik N, Piorkowski C, Hu Y, Connolly AT, Reyes IJ, Nabutovsky Y, Fischer A, Ip J. Real-world Adoption of Smartphone-based Remote Monitoring Using the Confirm Rx™ Insertable Cardiac Monitor. J Innov Card Rhythm Manag 2021; 12:4613-4620. [PMID: 34386274 PMCID: PMC8302208 DOI: 10.19102/icrm.2021.120806] [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: 04/16/2021] [Accepted: 06/04/2021] [Indexed: 11/18/2022] Open
Abstract
While previous generations of insertable cardiac monitors (ICMs) required a bedside monitor for remote monitoring (RM), the Confirm Rx™ ICM (Abbott, Chicago, IL, USA) utilizes Bluetooth®, Wi-Fi/cellular technology, and a smart device to connect to the RM system. We aimed to characterize compliance, connectivity, and event transmission timing with the Confirm Rx™ ICM RM system. The study cohort included American patients who received the Confirm Rx™ ICM with SharpSense™ technology within three months of release (May–July 2019). Compliance with RM was quantified as the proportion of patients registering the patient app on their smart device and transmitting at least once. Connectivity was measured as the median number of days between consecutive transmissions per patient. Event transmission time was measured from episode detection to availability on the Merlin.net™ RM system (Abbott). Time from transmission until review by a clinician was examined. Values for device connectivity, episode transmission timing, and clinician view times were reported as median [first quartile, third quartile]. Of 5,666 patients who received a Confirm Rx™ ICM, 97% registered their patient app and 92% transmitted data at least once. Among those utilizing RM (aged 66 ± 15 years; 49% female), connectivity occurred every 1.5 [1.2, 2.4] days, or 4.7 times per week. Patient-reported symptoms were transmitted to Merlin.net™ within 2.9 [2.1, 3.8] minutes of event onset and viewed by the clinician within 0.9 [0.4, 3.1] days, while device-detected episodes without symptoms were transmitted within 18.5 [11.2, 36.5] hours and then viewed within 0.8 [0.3, 2.5] days. This real-world study demonstrated excellent patient compliance with the smartphone-based RM paradigm enabled by Confirm Rx™, suggesting the suitability of this technology for future cardiac implantable devices.
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Affiliation(s)
- Roland R Tilz
- Division of Electrophysiology, Medizinische Klinik II (Kardiologie, Angiologie, Intensivmedizin), Universitäres Herzzentrum Lübeck, Lubeck, Germany
| | | | | | | | | | | | | | | | - John Ip
- Sparrow Cardiovascular Institute, Lansing, MI, USA
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50
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Nogami A, Kurita T, Abe H, Ando K, Ishikawa T, Imai K, Usui A, Okishige K, Kusano K, Kumagai K, Goya M, Kobayashi Y, Shimizu A, Shimizu W, Shoda M, Sumitomo N, Seo Y, Takahashi A, Tada H, Naito S, Nakazato Y, Nishimura T, Nitta T, Niwano S, Hagiwara N, Murakawa Y, Yamane T, Aiba T, Inoue K, Iwasaki Y, Inden Y, Uno K, Ogano M, Kimura M, Sakamoto S, Sasaki S, Satomi K, Shiga T, Suzuki T, Sekiguchi Y, Soejima K, Takagi M, Chinushi M, Nishi N, Noda T, Hachiya H, Mitsuno M, Mitsuhashi T, Miyauchi Y, Miyazaki A, Morimoto T, Yamasaki H, Aizawa Y, Ohe T, Kimura T, Tanemoto K, Tsutsui H, Mitamura H. JCS/JHRS 2019 guideline on non-pharmacotherapy of cardiac arrhythmias. J Arrhythm 2021; 37:709-870. [PMID: 34386109 PMCID: PMC8339126 DOI: 10.1002/joa3.12491] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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