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Doehner W, Boriani G, Potpara T, Blomstrom-Lundqvist C, Passman R, Sposato LA, Dobrev D, Freedman B, Van Gelder IC, Glotzer TV, Healey JS, Karapanayiotides T, Lip GYH, Merino JL, Ntaios G, Schnabel RB, Svendsen JH, Svennberg E, Wachter R, Haeusler KG, Camm AJ. Atrial fibrillation burden in clinical practice, research, and technology development: a clinical consensus statement of the European Society of Cardiology Council on Stroke and the European Heart Rhythm Association. Europace 2025; 27:euaf019. [PMID: 40073206 PMCID: PMC11901050 DOI: 10.1093/europace/euaf019] [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] [Subscribe] [Scholar Register] [Received: 11/15/2024] [Accepted: 12/23/2024] [Indexed: 03/14/2025] Open
Abstract
Atrial fibrillation (AF) is one of the most common cardiac diseases and a complicating comorbidity for multiple associated diseases. Many clinical decisions regarding AF are currently based on the binary recognition of AF being present or absent with the categorical appraisal of AF as continued or intermittent. Assessment of AF in clinical trials is largely limited to the time to (first) detection of an AF episode. Substantial evidence shows, however, that the quantitative characteristic of intermittent AF has a relevant impact on symptoms, onset, and progression of AF and AF-related outcomes, including mortality. Atrial fibrillation burden is increasingly recognized as a suitable quantitative measure of intermittent AF that provides an estimate of risk attributable to AF, the efficacy of antiarrhythmic treatment, and the need for oral anticoagulation. However, the diversity of assessment methods and the lack of a consistent definition of AF burden prevent a wider clinical applicability and validation of actionable thresholds of AF burden. To facilitate progress in this field, the AF burden Consensus Group, an international and multidisciplinary collaboration, proposes a unified definition of AF burden. Based on current evidence and using a modified Delphi technique, consensus statements were attained on the four main areas describing AF burden: Defining the characteristics of AF burden, the recording principles, the clinical relevance in major clinical conditions, and implementation as an outcome in the clinic and in clinical trials. According to this consensus, AF burden is defined as the proportion of time spent in AF expressed as a percentage of the recording time, undertaken during a specified monitoring duration. A pivotal requirement for validity and comparability of AF burden assessment is a continuous or near-continuous duration of monitoring that needs to be reported together with the AF burden assessment. This proposed unified definition of AF burden applies independent of comorbidities and outcomes. However, the disease-specific actionable thresholds of AF burden need to be defined according to the targeted clinical outcomes in specific populations. The duration of the longest episode of uninterrupted AF expressed as a time duration should also be reported when appropriate. A unified definition of AF burden will allow for comparability of clinical study data to expand evidence and to establish actionable thresholds of AF burden in various clinical conditions. This proposed definition of AF burden will support risk evaluation and clinical treatment decisions in AF-related disease. It will further promote the development of clinical trials studying the clinical relevance of intermittent AF. A unified approach on AF burden will finally inform the technology development of heart rhythm monitoring towards validated technology to meet clinical needs.
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Affiliation(s)
- Wolfram Doehner
- Berlin Institute of Health Center for Regenerative Therapies, Charité -Universitätsmedizin Berlin, Föhrerstr. 15, Berlin 13353, Germany
- Deutsches Herzzentrum der Charité, Department of Cardiology Angiology and Intensive Care Medicine (Campus Virchow), Charité - Universitätsmedizin Berlin, German Centre for Cardiovascular Research (DZHK) partner site Berlin, Augustenburger Platz 1, Berlin 13353, Germany
- Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Charitéplatz 1, Berlin 10117, Germany
| | - Giuseppe Boriani
- Division of Cardiology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Tatjana Potpara
- Medical Faculty, University of Belgrade, Dr Subotica 13, 11000 Belgrade, Serbia
- Cardiology Clinic, University Clinical Centre of Serbia, Belgrade, Serbia
| | - Carina Blomstrom-Lundqvist
- Department of Cardiology, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Rod Passman
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Luciano A Sposato
- Department of Clinical Neurological Sciences and Brain & Heart Lab, Western University, London, Ontario, Canada
| | - Dobromir Dobrev
- Institute of Pharmacology, West German Heart and Vascular Center, University Duisburg—Essen, Essen, Germany
- Montréal Heart Institute, Université de Montréal, Montréal, Québec, Canada
- Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, USA
| | - Ben Freedman
- Heart Research Institute, Sydney Medical School, Charles Perkins Centre, and Department of Cardiology, Concord Hospital, The University of Sydney, Sydney, Australia
| | - Isabelle C Van Gelder
- University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Taya V Glotzer
- Division of Cardiac Electrophysiology, Hackensack University Medical Center, Hackensack, NJ 07601, USA
- Hackensack Meridian School of Medicine, Hackensack, NJ 07601, USA
| | - Jeff S Healey
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Theodore Karapanayiotides
- 2nd Department of Neurology, Aristotle University of Thessaloniki, School of Medicine, AHEPA University Hospital, Thessaloniki, Greece
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Jose Luis Merino
- Arrhythmia and Robotic Electrophysiology Unit, La Paz University Hospital-IdiPaz, Autonoma University, Madrid, Spain
| | - George Ntaios
- 1st Propedeutic Department of Internal Medicine, Aristotle University of Thessaloniki, AHEPA University Hospital, Thessaloniki, Greece
| | - Renate B Schnabel
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg—Eppendorf, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK) partner site Hamburg/Kiel/Lübeck, Berlin, Germany
| | - Jesper H Svendsen
- Department of Cardiology, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emma Svennberg
- Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Huddinge, Stockholm, Sweden
| | - Rolf Wachter
- Department of Cardiology, University Hospital Leipzig, Leipzig, Germany
| | | | - A John Camm
- Clinical Cardiac Academic Group, Genetic and Cardiovascular Sciences Institute, City-St George’s University of London, London, UK
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Toyoda K, Kusano K, Iguchi Y, Ikeda T, Morishima I, Tomita H, Asano T, Yamane T, Nakahara I, Watanabe E, Koyama J, Kato R, Morita H, Hirano T, Soejima K, Owada S, Abe H, Yasaka M, Nakamura T, Kasner S, Natale A, Beinart S, Amin AN, Pouliot E, Franco N, Hidaka K, Okumura K. Global Results of Implantable Loop Recorder for Detection of Atrial Fibrillation After Stroke: Reveal LINQ Registry. J Am Heart Assoc 2024; 13:e035956. [PMID: 39450720 PMCID: PMC11935720 DOI: 10.1161/jaha.124.035956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 09/16/2024] [Indexed: 10/26/2024]
Abstract
BACKGROUND We aimed to quantify the incidence of atrial fibrillation (AF) in patients with cryptogenic stroke globally, as well as separately in patients in and outside of Japan, using an implantable loop recorder from a prospective, observational, Reveal LINQ Registry. METHODS AND RESULTS Patients developing cryptogenic stroke and monitored by implantable loop recorder for searching AF were studied. The primary end point was incidence of AF within 36 months after insertion. Secondary end points were recurrent ischemic stroke/transient ischemic attack and AF-related treatment strategies. A total of 271 patients (61.6±14.3 years, 170 men, 60 from Japan) were enrolled from 12 countries. AF was detected in 28.2% at 36 months. The median time from enrollment to AF detection was 7.9 months. During the first 12 months, the AF detection rate slope was relatively steeper in the Japanese subgroup versus non-Japanese patients. However, by 3 years, the cumulative incidence of AF detection did not differ between groups. Age was the only variable associated with AF detection (hazard ratio, 1.05 [95% CI, 1.02-1.07] per year), trending higher in older age groups. Of the 271 patients, 11 (4.1%) developed recurrent ischemic stroke/transient ischemic attack; AF was detected by implantable loop recorder in only 1 of these patients. Patients with detected AF were more commonly taking oral anticoagulation than those without AF at the last follow-up (64.7% versus 25.3%, P<0.001). CONCLUSIONS The rate of AF detection was similar to other studies in stroke populations monitored by implantable loop recorders, including CRYSTAL-AF (Cryptogenic Stroke and Underlying Atrial Fibrillation), STROKE-AF (Stroke of Unknown Cause and Underlying Atrial Fibrillation) and PER-DIEM (Post-Embolic Rhythm Detection With Implantable Versus External Monitoring). Patients with detected AF more commonly initiated anticoagulation than those without AF.
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Affiliation(s)
- Kazunori Toyoda
- Department of Cerebrovascular MedicineNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Kengo Kusano
- Department of Cardiovascular MedicineNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Yasuyuki Iguchi
- Department of NeurologyThe Jikei University School of MedicineTokyoJapan
| | - Takanori Ikeda
- Department of Cardiovascular MedicineToho University Faculty of MedicineTokyoJapan
| | | | - Hirofumi Tomita
- Department of Cardiology and NephrologyHirosaki University Graduate School of MedicineHirosakiJapan
| | - Taku Asano
- Division of CardiologyShowa University School of MedicineTokyoJapan
| | - Teiichi Yamane
- Division of CardiologyThe Jikei University School of MedicineTokyoJapan
| | - Ichiro Nakahara
- Department of NeurosurgeryFujita Health University Bantane HospitalNagoyaJapan
| | - Eiichi Watanabe
- Department of Internal MedicineFujita Health University Bantane HospitalNagoyaJapan
| | - Junjiroh Koyama
- Division of CardiologySaiseikai Kumamoto HospitalKumamotoJapan
| | - Ritsushi Kato
- Department of CardiologySaitama Medical University, International Medical CenterHidakaJapan
| | - Hiroshi Morita
- Department of Cardiovascular TherapeuticsOkayama University Graduate School of MedicineOkayamaJapan
| | - Teruyuki Hirano
- Department of Stroke and Cerebrovascular MedicineKyorin University School of MedicineTokyoJapan
| | - Kyoko Soejima
- Department of CardiologyKyorin University School of MedicineTokyoJapan
| | - Shingen Owada
- Division of Cardiology, Department of Internal MedicineIwate Medical University School of MedicineShiwaJapan
| | - Haruhiko Abe
- Department of Heart Rhythm ManagementUniversity of Occupational and Environmental HealthKitakyushuJapan
| | - Masahiro Yasaka
- Department of Cerebrovascular MedicineFukuoka Neurosurgical HospitalFukuokaJapan
| | - Toshihiro Nakamura
- Department of CardiologyNational Hospital Organization Kyushu Medical CenterFukuokaJapan
| | - Scott Kasner
- Comprehensive Stroke Center, Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Andrea Natale
- Department of Biomedicine and Prevention, Division of CardiologyUniversity of Tor VergataRomeItaly
| | - Sean Beinart
- Center for Cardiac and Vascular ResearchWashington Adventist HospitalTakoma ParkMDUSA
| | - Alpesh N. Amin
- Department of MedicineUniversity of CaliforniaIrvineCAUSA
| | - Erika Pouliot
- Cardiac Rhythm Management, Clinical DepartmentMedtronic Inc.MinneapolisMNUSA
| | - Noreli Franco
- Cardiac Rhythm Management, Clinical DepartmentMedtronic Inc.MinneapolisMNUSA
| | - Kazuhiro Hidaka
- Japan Clinical and Medical AffairsMedtronic Japan Co., Ltd.TokyoJapan
| | - Ken Okumura
- Division of CardiologySaiseikai Kumamoto HospitalKumamotoJapan
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3
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Sharma AN, McIntyre WF, Nguyen ST, Baranchuk A. Implantable loop recorders in patients with atrial fibrillation. Expert Rev Cardiovasc Ther 2022; 20:919-928. [PMID: 36444859 DOI: 10.1080/14779072.2022.2153673] [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] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Implantable loop recorders (ILRs) provide practitioners with high-quality electrocardiographic data over an extended monitoring period. These data can guide the diagnosis and management of patients with atrial fibrillation (AF). AREAS COVERED This review summarizes the available evidence and consensus statements supporting the use of ILRs in the detection of AF, as well as monitoring of patients with known AF. Future directions for research are also discussed. EXPERT OPINION ILRs are the gold standard for detecting AF, providing superior diagnostic yield compared to other modes of ambulatory electrocardiography monitoring. Both experimental evidence and consensus statements support the use of ILRs in clinical settings where the diagnosis of AF may significantly change management, or where a high degree of sensitivity is needed. ILRs may also be used to monitor patients following AF ablation. More evidence is needed to better inform how ILR-detected AF should change management.
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Affiliation(s)
- Arjun N Sharma
- Department of Medicine, Queen's University, Kingston, ON, Canada
| | | | | | - Adrian Baranchuk
- Division of Cardiology, Queen's University, Kingston, ON, Canada
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4
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Jiang H, Tan SY, Wang JK, Li J, Tu TM, Tan VH, Yeo C. A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke. Open Heart 2022; 9:openhrt-2022-002081. [PMID: 36175044 PMCID: PMC9528717 DOI: 10.1136/openhrt-2022-002081] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/12/2022] [Indexed: 11/10/2022] Open
Abstract
Objective The aim of this systematic review is to evaluate the various modalities available for extended ECG monitoring in the detection of atrial fibrillation (AF) following a cryptogenic stroke. Methods MEDLINE (Ovid), EMBASE (Ovid), Cochrane Central Register of Controlled Trials (CENTRAL) were searched from January 2011 to November 2021. All randomised controlled trials and prospective cohort studies including the use of extended ECG monitoring >24 hours with a minimum duration of AF of 30 s in patients with either cryptogenic strokes or transient ischaemic attacks were included. A random-effects model was used to pool effect estimates of AF detection rates from different ECG modalities. Results 3924 studies were identified, of which 47 were included reporting on a pooled population of 6448 patients with cryptogenic stroke. The pooled AF rate for implantable loop recorders (ILRs) increased from 4.9% (3.0%–7.9%) at 1 month to 38.4% (20.4%–60.2%) at 36 months. Mobile cardiac outpatient telemetry (MCOT) had a significantly higher pooled AF detection rate of 12.8% (8.9%–17.9%) versus 4.9% (3.0%–7.9%) for ILR at 1 month (p<0.0001). Predictors for AF detection include duration of monitoring (p<0.0001) and age (p<0.0001) for ILRs, but only age for MCOTs (p<0.020). Conclusion MCOT has a higher rate of detection at 1 month and is less invasive. Beyond 1 month, compliance becomes a significant limitation for MCOT. MCOT may be a reasonable alternative AF screening tool for patients with cryptogenic stroke if ILR is not available. PROSPERO registration number CRD42022297782.
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Affiliation(s)
- Haowen Jiang
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Shyn Yi Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Jeremy King Wang
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Jiaqi Li
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Tian Ming Tu
- Neurology, National Neuroscience Institute, Singapore
| | | | - Colin Yeo
- Cardiology, Changi General Hospital, Singapore
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5
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Rubiera M, Aires A, Antonenko K, Lémeret S, Nolte CH, Putaala J, Schnabel RB, Tuladhar AM, Werring DJ, Zeraatkar D, Paciaroni M. European Stroke Organisation (ESO) guideline on screening for subclinical atrial fibrillation after stroke or transient ischaemic attack of undetermined origin. Eur Stroke J 2022; 7:VI. [PMID: 36082257 PMCID: PMC9446336 DOI: 10.1177/23969873221099478] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/20/2022] [Indexed: 11/16/2022] Open
Abstract
We aimed to provide practical recommendations for the screening of subclinical atrial fibrillation (AF) in patients with ischaemic stroke or transient ischaemic attack (TIA) of undetermined origin. These guidelines are based on the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. Five relevant Population, Intervention, Comparator, Outcome questions were defined by a multidisciplinary module working group (MWG). Longer duration of cardiac rhythm monitoring increases the detection of subclinical AF, but the optimal monitoring length is yet to be defined. We advise longer monitoring to increase the rate of anticoagulation, but whether longer monitoring improves clinical outcomes needs to be addressed. AF detection does not differ from in- or out-patient ECG-monitoring with similar monitoring duration, so we consider it reasonable to initiate in-hospital monitoring as soon as possible and continue with outpatient monitoring for more than 48h. Although insertable loop recorders (ILR) increase AF detection based on their longer monitoring duration, comparison with non-implantable ECG devices for similar monitoring time is lacking. We suggest the use of implantable devices, if feasible, for AF detection instead of non- implantable devices to increase the detection of subclinical AF. There is weak evidence of a useful role for blood, ECG, and brain imaging biomarkers for the identification of patients at high risk of AF. In patients with patent foramen ovale, we found insufficient evidence from RCT, but prolonged cardiac monitoring in patients >55 years is advisable for subclinical AF detection. To conclude, in adult patients with ischaemic stroke or TIA of undetermined origin, we recommend longer duration of cardiac rhythm monitoring of more than 48h and if feasible with IRL to increase the detection of subclinical AF.
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Affiliation(s)
- Marta Rubiera
- Stroke Unit, Neurology, Hospital Vall d'Hebron, Barcelona, Barcelona, Spain
| | - Ana Aires
- Department of Neurology, Centro Hospitalar Universitário de São João, Porto, Portugal
| | - Kateryna Antonenko
- Department of Neurology, Bogomolets National Medical University, Kyiv, Ukraine
| | | | - Christian H. Nolte
- Klinik und Hochschulambulanz für Neurologie and Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany; Freie Universität Berlin, Humboldt- Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Jukka Putaala
- Neurology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Renate B. Schnabel
- Department of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg Eppendorf Hamburg Germany
- German Center for Cardiovascular Research (DZHK) partner site Hamburg/Kiel/Lübeck Germany
| | - Anil M Tuladhar
- Department of Neurology, Donders Center for Medical Neurosciences, Radboud
University Medical Center, Nijmegen, The Netherlands
| | - David J. Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Dena Zeraatkar
- Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
- Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Maurizio Paciaroni
- Stroke Unit, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
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6
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Rakhimova I, Semenova Y, Khaibullin T, Kuanysheva A, Kovalchuk V, Abdrakhmanov A. Cryptogenic Stroke and Embolic Stroke of Undetermined Source: Risk Factors and Approaches for Detection of Atrial Fibrillation. Curr Cardiol Rev 2022; 18:e211221199213. [PMID: 34939547 PMCID: PMC9893140 DOI: 10.2174/1573403x18666211221145714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 08/17/2021] [Accepted: 11/03/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Stroke is a problem worldwide because of its high mortality and disability rates. Almost 90% of strokes are ischemic, and more than half of the deaths are caused by an ischemic stroke. Most risk factors for stroke are manageable so that it can be avoided with proper prevention. Despite the success in determining the causes of stroke in recent years, selectively, the "culprit" causing stroke remains unsolved. In such cases, a diagnosis of undetermined etiology (cryptogenic stroke) or embolic stroke of undetermined source (ESUS) is generated, resulting the prevention of a recurrent cerebrovascular occurrence impossible. Atrial fibrillation (AF) can be a cause of stroke by causing blood clots in the chambers of the heart. PURPOSE The aim was to determine the optimal method of heart rate monitoring in patients with ischemic stroke, as methods and approaches for detecting AF are very diverse, but there is still no single opinion, which would be universal. PROCEDURES In our review, we consider epidemiology, risk factors for the stroke of undetermined etiology, as well as analytical methods for detecting heart rhythm disturbances in this category of patients. FINDINGS Atrial fibrillation (AF) is detected by thorough monitoring of heart rate of patients with cryptogenic stroke and ESUS can be diagnosed in up to 46% of patients. . CONCLUSION After AF detection, consideration should be given to prescribing anticoagulants, instead of antiplatelet agents, for the secondary prevention of stroke.
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Affiliation(s)
- Idaliya Rakhimova
- Department of Cardiology and Interventional Arrhythmology, Semey State Medical University, Semey, Kazakhstan
| | - Yuliya Semenova
- Department of Cardiology and Interventional Arrhythmology, Semey State Medical University, Semey, Kazakhstan
| | - Talgat Khaibullin
- Department of Cardiology and Interventional Arrhythmology, Semey State Medical University, Semey, Kazakhstan
| | - Anargul Kuanysheva
- Department of Cardiology and Interventional Arrhythmology, Semey State Medical University, Semey, Kazakhstan
| | - Vitalii Kovalchuk
- Department of Semashko City Hospital, Saint Petersburg, Russian Federation
| | - Ayan Abdrakhmanov
- National Research Cardiac Surgery Center, Nur-Sultan 010000, Kazakhstan
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7
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Bhat A, Mahajan V, Chen HHL, Gan GCH, Pontes-Neto OM, Tan TC. Embolic Stroke of Undetermined Source: Approaches in Risk Stratification for Cardioembolism. Stroke 2021; 52:e820-e836. [PMID: 34706562 DOI: 10.1161/strokeaha.121.034498] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Ischemic stroke is a leading cause of morbidity and mortality worldwide. Embolic stroke of undetermined source has been recently proposed to categorize nonlacunar ischemic strokes without confirmed etiology after adequate investigation with a likely embolic stroke mechanism. A strategy of empirical anticoagulation for embolic stroke of undetermined source patients is attractive but may only be beneficial in a select subset of patients. Strategies which would help identify the subset of embolic stroke of undetermined source patients most likely to have cardioembolic origin of stroke, and hence benefit from anticoagulation, are needed. This article will review current evidence which may be useful in the development of a risk stratification approach based on arrhythmia monitoring, cardiac imaging, and clinical risk stratification. This approach may be beneficial in clinical practice in improving patient outcomes and reducing stroke recurrence in this population; however, further work is required with active trials underway.
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Affiliation(s)
- Aditya Bhat
- Department of Cardiology, Blacktown Hospital, Sydney, Australia (A.B., V.M., H.H.L.C., G.C.H.G., T.C.T.).,School of Public Health and Community Medicine (A.B., T.C.T.), University of New South Wales, Sydney, Australia.,School of Medicine, Western Sydney University, Australia (A.B., G.C.H.G., T.C.T.)
| | - Vipul Mahajan
- Department of Cardiology, Blacktown Hospital, Sydney, Australia (A.B., V.M., H.H.L.C., G.C.H.G., T.C.T.)
| | - Henry H L Chen
- Department of Cardiology, Blacktown Hospital, Sydney, Australia (A.B., V.M., H.H.L.C., G.C.H.G., T.C.T.)
| | - Gary C H Gan
- Department of Cardiology, Blacktown Hospital, Sydney, Australia (A.B., V.M., H.H.L.C., G.C.H.G., T.C.T.).,School of Medicine (G.C.H.G.), University of New South Wales, Sydney, Australia.,School of Medicine, Western Sydney University, Australia (A.B., G.C.H.G., T.C.T.)
| | - Octavio M Pontes-Neto
- Stroke Service, Neurology Division, Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, Brazil (O.M.P.-N.)
| | - Timothy C Tan
- Department of Cardiology, Blacktown Hospital, Sydney, Australia (A.B., V.M., H.H.L.C., G.C.H.G., T.C.T.).,School of Public Health and Community Medicine (A.B., T.C.T.), University of New South Wales, Sydney, Australia.,School of Medicine, Western Sydney University, Australia (A.B., G.C.H.G., T.C.T.)
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8
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Lu Y, Diao SS, Huang SJ, Zhao JJ, Ye MF, Yao FR, Kong Y, Xu Z. Insertable cardiac monitors for detection of atrial fibrillation after cryptogenic stroke: a meta-analysis. Neurol Sci 2021; 42:4139-4148. [PMID: 33528671 DOI: 10.1007/s10072-021-05104-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 01/29/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND In recent years, the implantable cardiac monitors (ICM) have enhanced the recognition ability of atrial fibrillation (AF), which makes ICM have a new application in AF detection. We conducted a meta-analysis to determine the total incidence of newly found AF detected by ICM after cryptogenic stroke and to evaluate the factors related to the detection of AF. METHODS A literature search was conducted in the PubMed, EMBASE, Web of Science, and Cochrane library databases until March 1, 2020. Studies that reported the detection rate of AF using ICM in cryptogenic stroke patients with negative initial AF screening were analyzed. RESULTS A total of 23 studies were included. The overall proportion of AF detected by ICM in cryptogenic stroke patients was 25% (95% confidence interval [CI], 22-29%). The rate of AF detected by ICM was independently related to both cardiac monitoring time (coefficient = 0.0003; 95% CI, 0.0001-0.0005; P = 0.0001) and CHA2DS2-VASc score (coefficient = 0.0834; 95% CI, 0.0339-0.1329; P = 0.001). In subgroup analysis, we found a significant difference in the detection rate of AF for monitoring duration (< 6 months: 9.6% [95% CI, 4.4-16.4%]; ≥ 6 and ≤ 12 months: 19.3% [95% CI, 15.9-23.0%]; > 12 and ≤ 24 months: 23.6% [95% CI, 19.9-27.5%]; > 24 months and ≤ 36 months: 36.5% [95% CI, 24.2-49.9%]; P < 0.001), and continent (Europe: 26.5% [95% CI, 22.2-31.0%]; North America: 16.0% [95% CI, 10.3-22.6%]; Asia: 17.4% [95% CI, 12.4-23.0%]; P = 0.005). CONCLUSIONS The longer the time of ICM monitoring after cryptogenic stroke, the higher the detection rate of AF. Further research is still needed to determine the optimal duration of long-term cardiac monitoring.
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Affiliation(s)
- Yue Lu
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu, China
| | - Shan-Shan Diao
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu, China
| | - Shuang-Jiao Huang
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu, China
| | - Jie-Ji Zhao
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu, China
| | - Meng-Fan Ye
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu, China
| | - Fei-Rong Yao
- Department of Radiology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu, China
| | - Yan Kong
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu, China.
| | - Zhuan Xu
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu, China.
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Edwards SJ, Wakefield V, Jhita T, Kew K, Cain P, Marceniuk G. Implantable cardiac monitors to detect atrial fibrillation after cryptogenic stroke: a systematic review and economic evaluation. Health Technol Assess 2020; 24:1-184. [PMID: 31944175 PMCID: PMC6983910 DOI: 10.3310/hta24050] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Cryptogenic stroke is a stroke for which no cause is identified after standard diagnostic tests. Long-term implantable cardiac monitors may be better at diagnosing atrial fibrillation and provide an opportunity to reduce the risk of stroke recurrence with anticoagulants. OBJECTIVES The objectives were to assess the diagnostic test accuracy, clinical effectiveness and cost-effectiveness of three implantable monitors [BioMonitor 2-AF™ (Biotronik SE & Co. KG, Berlin, Germany), Confirm Rx™ (Abbott Laboratories, Lake Bluff, IL, USA) and Reveal LINQ™ (Medtronic plc, Minneapolis, MN, USA)] in patients who have had a cryptogenic stroke and for whom no atrial fibrillation is detected after 24 hours of external electrocardiographic monitoring. DATA SOURCES MEDLINE, EMBASE, The Cochrane Library, Database of Abstracts of Reviews of Effects and Health Technology Assessment databases were searched from inception until September 2018. REVIEW METHODS A systematic review was undertaken. Two reviewers agreed on studies for inclusion and performed quality assessment using the Cochrane Risk of Bias 2.0 tool. Results were discussed narratively because there were insufficient data for synthesis. A two-stage de novo economic model was developed: (1) a short-term patient flow model to identify cryptogenic stroke patients who have had atrial fibrillation detected and been prescribed anticoagulation treatment (rather than remaining on antiplatelet treatment) and (2) a long-term Markov model that captured the lifetime costs and benefits of patients on either anticoagulation or antiplatelet treatment. RESULTS One randomised controlled trial, Cryptogenic Stroke and underlying Atrial Fibrillation (CRYSTAL-AF) (Sanna T, Diener HC, Passman RS, Di Lazzaro V, Bernstein RA, Morillo CA, et al. Cryptogenic stroke and underlying atrial fibrillation. N Engl J Med 2014;370:2478-86), was identified, and no diagnostic test accuracy study was identified. The CRYSTAL-AF trial compared the Reveal™ XT (a Reveal LINQ predecessor) (Medtronic plc) monitor with standard of care monitoring. Twenty-six single-arm observational studies for the Reveal devices were also identified. The only data for BioMonitor 2-AF or Confirm Rx were from mixed population studies supplied by the companies. Atrial fibrillation detection in the CRYSTAL-AF trial was higher with the Reveal XT than with standard monitoring at all time points. By 36 months, atrial fibrillation was detected in 19% of patients with an implantable cardiac monitor and in 2.3% of patients receiving conventional follow-up. The 26 observational studies demonstrated that, even in a cryptogenic stroke population, atrial fibrillation detection rates are highly variable and most cases are asymptomatic; therefore, they probably would not have been picked up without an implantable cardiac monitor. Device-related adverse events, such as pain and infection, were low in all studies. The de novo economic model produced incremental cost effectiveness ratios comparing implantable cardiac monitors with standard of care monitoring to detect atrial fibrillation in cryptogenic stroke patients based on data for the Reveal XT device, which can be related to Reveal LINQ. The BioMonitor 2-AF and Confirm RX were included in the analysis by making a strong assumption of equivalence with Reveal LINQ. The results indicate that implantable cardiac monitors could be considered cost-effective at a £20,000-30,000 threshold. When each device is compared incrementally, BioMonitor 2-AF dominates Reveal LINQ and Confirm RX. LIMITATIONS The cost-effectiveness analysis for implantable cardiac monitors is based on a strong assumption of clinical equivalence and should be interpreted with caution. CONCLUSIONS All three implantable cardiac monitors could be considered cost-effective at a £20,000-30,000 threshold, compared with standard of care monitoring, for cryptogenic stroke patients with no atrial fibrillation detected after 24 hours of external electrocardiographic monitoring; however, further clinical studies are required to confirm their efficacy in cryptogenic stroke patients. STUDY REGISTRATION This study is registered as PROSPERO CRD42018109216. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 5. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Steven J Edwards
- British Medical Journal (BMJ) Technology Assessment Group, London, UK
| | | | - Tracey Jhita
- British Medical Journal (BMJ) Technology Assessment Group, London, UK
| | - Kayleigh Kew
- British Medical Journal (BMJ) Technology Assessment Group, London, UK
| | - Peter Cain
- British Medical Journal (BMJ) Technology Assessment Group, London, UK
| | - Gemma Marceniuk
- British Medical Journal (BMJ) Technology Assessment Group, London, UK
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Yushan B, Tan BY, Ngiam NJ, Chan BP, Luen TH, Sharma VK, Sia CH, Dalakoti M, Chong SS, Kojodjojo P, Yeo LL. Association between Bilateral Infarcts Pattern and Detection of Occult Atrial Fibrillation in Embolic Stroke of Undetermined Source (ESUS) Patients with Insertable Cardiac Monitor (ICM). J Stroke Cerebrovasc Dis 2019; 28:2448-2452. [DOI: 10.1016/j.jstrokecerebrovasdis.2019.06.025] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 06/09/2019] [Accepted: 06/22/2019] [Indexed: 01/09/2023] Open
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