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Desai AD, Howe E, Coromilas E, Zhang Y, Dizon JM, Willey J, Biviano AB, Garan H, Wan EY. Predictors of atrial fibrillation on implantable cardiac monitoring for cryptogenic stroke. J Interv Card Electrophysiol 2021; 65:7-14. [PMID: 33796969 PMCID: PMC8016653 DOI: 10.1007/s10840-021-00985-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 03/22/2021] [Indexed: 11/30/2022]
Abstract
Background Since the CRYSTAL-AF trial, implantation and usage of implantable loop recorder (ICM) after cryptogenic stroke (CS) for detection of atrial fibrillation (AF) has increased. However, it is unclear which CS patients would most benefit from long term ICM monitoring. This study aims to determine the risk factors in patients that would confer maximum benefit from ICM placement following CS. Methods A Columbia University Institutional Review Board (IRB) approved retrospective analysis of medical records of 125 patients with CS followed by implantation of ICM was evaluated. Univariable and multivariable time-to-event analyses were performed on demographics, hours of activity and variability (HRV), stroke location, thrombosis etiology, and CHA2DS2 − VASc score. The primary outcome was presence of ICM-detected AF defined as AF lasting at least 2 min. Results One hundred twenty-five patients (mean 67.6 years ± 2.4 years, 60% male) were followed for at least 3 months. Twenty-two patients (18%) were found to have clinically verified detected AF; median of time to detection was 95 days. Upon univariable demographic analysis followed by multivariable Cox regression analysis, individuals with age 75 or older (HR: 3.987, p = 0.0046) or LVEF 40% and lower (HR: 3.056, p = 0.0213) had significantly higher risk of AF. Diabetics also had a lower AF detection in multivariable analysis (HR: 0.128, p = 0.0466). Conclusions Age 75 or older and LVEF ≤40% were the factors on multivariable analysis that predicted AF detection. Diabetes is a possible significant factor which should be evaluated further. CHA2DS2 − VASc score was notably not predictive of AF detected on ICM. Supplementary Information The online version contains supplementary material available at 10.1007/s10840-021-00985-1.
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Affiliation(s)
- Amar D Desai
- Division of Cardiology, Section of Electrophysiology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, NY, New York, USA
| | - Emily Howe
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Ellie Coromilas
- Division of Cardiology, Section of Electrophysiology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, NY, New York, USA
| | - Yiyi Zhang
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Jose M Dizon
- Division of Cardiology, Section of Electrophysiology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, NY, New York, USA
| | - Joshua Willey
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Angelo B Biviano
- Division of Cardiology, Section of Electrophysiology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, NY, New York, USA
| | - Hasan Garan
- Division of Cardiology, Section of Electrophysiology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, NY, New York, USA
| | - Elaine Y Wan
- Division of Cardiology, Section of Electrophysiology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, NY, New York, USA.
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Ratajczak-Tretel B, Lambert AT, Johansen H, Halvorsen B, Bjerkeli V, Russell D, Sandset EC, Ihle-Hansen H, Eriksen E, Næss H, Novotny V, Khanevski AN, Truelsen TC, Idicula T, Ægidius KL, Tobro H, Krogseth SB, Ihle-Hansen H, Hagberg G, Kruuse C, Arntzen K, Bakkejord GK, Villseth M, Nakstad I, Eldøen G, Shafiq R, Gulsvik A, Kurz M, Rezai M, Sømark J, Tingvoll SH, Jonassen C, Ingebrigtsen S, Steffensen LH, Kremer C, Atar D, Aamodt AH. Atrial fibrillation in cryptogenic stroke and transient ischaemic attack - The Nordic Atrial Fibrillation and Stroke (NOR-FIB) Study: Rationale and design. Eur Stroke J 2019; 4:172-180. [PMID: 31259265 DOI: 10.1177/2396987319837089] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Accepted: 02/13/2019] [Indexed: 01/01/2023] Open
Abstract
Purpose Paroxysmal atrial fibrillation is often suspected as a probable cause of cryptogenic stroke. Continuous long-term ECG monitoring using insertable cardiac monitors is a clinically effective technique to screen for atrial fibrillation and superior to conventional follow-up in cryptogenic stroke. However, more studies are needed to identify factors which can help selecting patients with the highest possibility of detecting atrial fibrillation with prolonged rhythm monitoring. The clinical relevance of short-term atrial fibrillation, the need for medical intervention and the evaluation as to whether intervention results in improved clinical outcomes should be assessed. Method The Nordic Atrial Fibrillation and Stroke Study is an international, multicentre, prospective, observational trial evaluating the occurrence of occult atrial fibrillation in cryptogenic stroke and transient ischaemic attack. Patients with cryptogenic stroke or transient ischaemic attack from the Nordic countries are included and will have the Reveal LINQ® Insertable cardiac monitor system implanted for 12 months for atrial fibrillation detection. Biomarkers which can be used as predictors for atrial fibrillation and may identify patients, who could derive the most clinical benefit from the detection of atrial fibrillation by prolonged monitoring, are being studied. Conclusion The primary endpoint is atrial fibrillation burden within 12 months of continuous rhythm monitoring. Secondary endpoints are atrial fibrillation burden within six months, levels of biomarkers predicting atrial fibrillation, CHA2DS2-VASc score, incidence of recurrent stroke or transient ischaemic attack, use of anticoagulation and antiarrhythmic drugs, and quality of life measurements. The clinical follow-up period is 12 months. The study started in 2017 and the completion is expected at the end of 2020.
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Affiliation(s)
- Barbara Ratajczak-Tretel
- Department of Neurology, Østfold Hospital Trust, Grålum, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anna Tancin Lambert
- Department of Neurology, Østfold Hospital Trust, Grålum, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Bente Halvorsen
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Vigdis Bjerkeli
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - David Russell
- Department of Neurology, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Hege Ihle-Hansen
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Erik Eriksen
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Halvor Næss
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Vojtech Novotny
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | | | - Thomas C Truelsen
- Department of Neurology, Rigshospitalet University Hospital, Copenhagen, Denmark
| | - Titto Idicula
- Department of Neurology, St. Olav University Hospital, Trondheim, Norway
| | - Karen L Ægidius
- Department of Neurology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - Håkon Tobro
- Department of Neurology, Telemark Hospital, Skien, Norway
| | - Siv B Krogseth
- Department of Neurology, Vestfold Hospital, Tønsberg, Norway
| | - Håkon Ihle-Hansen
- Department of Internal Medicine, Vestre Viken Hospital Trust, Bærum Hospital, Bærum, Norway
| | - Guri Hagberg
- Department of Internal Medicine, Vestre Viken Hospital Trust, Bærum Hospital, Bærum, Norway
| | - Christina Kruuse
- Department of Neurology, Herlev Gentofte Hospital, Copenhagen, Denmark
| | | | | | - Maja Villseth
- Department of Neurology, Drammen Hospital, Vestre Viken Hospital Trust, Drammen, Norway
| | - Ingvild Nakstad
- Department of Neurology, Drammen Hospital, Vestre Viken Hospital Trust, Drammen, Norway
| | | | - Raheel Shafiq
- Department of Neurology, Molde Hospital, Molde, Norway
| | - Anne Gulsvik
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - Martin Kurz
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - Mehdi Rezai
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - Jesper Sømark
- Department of Neurology, Innlandet Hospital Trust, Lillehammer, Norway
| | | | - Christine Jonassen
- Center of Laboratory Medicine, Østfold Hospital Trust, Grålum, Norway.,Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
| | | | | | - Christine Kremer
- Department of Neurology, Skåne University Hospital, Malmö, Sweden.,Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Dan Atar
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Cardiology B, Oslo University Hospital, Ullevål, Oslo, Norway
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