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Todo K, Okazaki S, Doijiri R, Yamazaki H, Sonoda K, Koge J, Iwata T, Ueno Y, Yamagami H, Kimura N, Morimoto M, Kondo D, Koga M, Nagata E, Miyamoto N, Kimura Y, Gon Y, Sasaki T, Mochizuki H. Atrial Fibrillation Detection and Ischemic Stroke Recurrence in Cryptogenic Stroke: A Retrospective, Multicenter, Observational Study. J Am Heart Assoc 2024; 13:e031508. [PMID: 38240210 PMCID: PMC11056161 DOI: 10.1161/jaha.123.031508] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 10/27/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Atrial fibrillation (AF) is known to be a strong risk factor for stroke. However, the risk of stroke recurrence in patients with cryptogenic stroke with AF detected after stroke by an insertable cardiac monitor (ICM) is not well known. We sought to evaluate the risk of ischemic stroke recurrence in patients with cryptogenic stroke with and without ICM-detected AF. METHODS AND RESULTS We retrospectively reviewed patients with cryptogenic stroke who underwent ICM implantation at 8 stroke centers in Japan. Cox regression models were developed using landmark analysis and time-dependent analysis. We set the target sample size at 300 patients based on our estimate of the annualized incidence of ischemic stroke recurrence to be 3% in patients without AF detection and 9% in patients with AF detection. Of the 370 patients, 121 were found to have AF, and 110 received anticoagulation therapy after AF detection. The incidence of ischemic stroke recurrence was 4.0% in 249 patients without AF detection and 5.8% in 121 patients with AF detection (P=0.45). In a landmark analysis, the risk of ischemic stroke recurrence was not higher in patients with AF detected ≤90 days than in those without (hazard ratio, 1.47 [95% CI, 0.41-5.28]). In a time-dependent analysis, the risk of ischemic stroke recurrence did not increase after AF detection (hazard ratio, 1.77 [95% CI, 0.70-4.47]). CONCLUSIONS The risk of ischemic stroke recurrence in patients with cryptogenic stroke with ICM-detected AF, 90% of whom were subsequently anticoagulated, was not higher than in those without ICM-detected AF.
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Affiliation(s)
- Kenichi Todo
- Department of NeurologyOsaka University Graduate School of MedicineOsakaJapan
| | - Shuhei Okazaki
- Department of NeurologyOsaka University Graduate School of MedicineOsakaJapan
| | - Ryosuke Doijiri
- Department of NeurologyIwate Prefectural Central HospitalIwateJapan
| | - Hidekazu Yamazaki
- Department of NeurologyYokohama Shintoshi Neurosurgical HospitalYokohamaKanagawaJapan
| | - Kazutaka Sonoda
- Department of NeurologySaiseikai Fukuoka General HospitalFukuokaJapan
| | - Junpei Koge
- Department of Cerebrovascular MedicineNational Cerebral and Cardiovascular CenterOsakaJapan
| | - Tomonori Iwata
- Department of NeurologyTokai UniversityHiratsukaKanagawaJapan
| | - Yuji Ueno
- Department of NeurologyJuntendo University Faculty of MedicineTokyoJapan
| | - Hiroshi Yamagami
- Department of Stroke NeurologyNational Hospital Organization Osaka National HospitalOsakaJapan
| | - Naoto Kimura
- Department of NeurosurgeryIwate Prefectural Central HospitalIwateJapan
| | - Masafumi Morimoto
- Department of NeurosurgeryYokohama Shintoshi Neurosurgical HospitalYokohamaKanagawaJapan
| | - Daisuke Kondo
- Department of NeurologySaiseikai Fukuoka General HospitalFukuokaJapan
| | - Masatoshi Koga
- Department of Cerebrovascular MedicineNational Cerebral and Cardiovascular CenterOsakaJapan
| | - Eiichiro Nagata
- Department of NeurologyTokai UniversityHiratsukaKanagawaJapan
| | - Nobukazu Miyamoto
- Department of NeurologyJuntendo University Faculty of MedicineTokyoJapan
| | - Yoko Kimura
- Department of Stroke NeurologyNational Hospital Organization Osaka National HospitalOsakaJapan
| | - Yasufumi Gon
- Department of NeurologyOsaka University Graduate School of MedicineOsakaJapan
| | - Tsutomu Sasaki
- Department of NeurologyOsaka University Graduate School of MedicineOsakaJapan
| | - Hideki Mochizuki
- Department of NeurologyOsaka University Graduate School of MedicineOsakaJapan
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Sposato LA, Field TS, Schnabel RB, Wachter R, Andrade JG, Hill MD. Towards a new classification of atrial fibrillation detected after a stroke or a transient ischaemic attack. Lancet Neurol 2024; 23:110-122. [PMID: 37839436 DOI: 10.1016/s1474-4422(23)00326-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/03/2023] [Accepted: 08/21/2023] [Indexed: 10/17/2023]
Abstract
Globally, up to 1·5 million individuals with ischaemic stroke or transient ischaemic attack can be newly diagnosed with atrial fibrillation per year. In the past decade, evidence has accumulated supporting the notion that atrial fibrillation first detected after a stroke or transient ischaemic attack differs from atrial fibrillation known before the occurrence of as stroke. Atrial fibrillation detected after stroke is associated with a lower prevalence of risk factors, cardiovascular comorbidities, and atrial cardiomyopathy than atrial fibrillation known before stroke occurrence. These differences might explain why it is associated with a lower risk of recurrence of ischaemic stroke than known atrial fibrillation. Patients with ischaemic stroke or transient ischaemic attack can be classified in three categories: no atrial fibrillation, known atrial fibrillation before stroke occurrence, and atrial fibrillation detected after stroke. This classification could harmonise future research in the field and help to understand the role of prolonged cardiac monitoring for secondary stroke prevention with application of a personalised risk-based approach to the selection of patients for anticoagulation.
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Affiliation(s)
- Luciano A Sposato
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Heart and Brain Laboratory, Western University, London, ON, Canada; Robarts Research Institute, Western University, London, ON, Canada; Lawson Health Research Institute, London, ON, Canada.
| | - Thalia S Field
- Division of Neurology, Vancouver Stroke Program, University of British Columbia, Vancouver, BC, Canada
| | - Renate B Schnabel
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Rolf Wachter
- Department of Cardiology, University Hospital Leipzig, Leipzig, Germany; Clinic for Cardiology and Pneumology, University Medicine Göttingen, Göttingen, Germany; German Cardiovascular Research Centre, Partner site Göttingen, Göttingen, Germany
| | - Jason G Andrade
- Division of Cardiology, Centre for Cardiovascular Innovation, University of British Columbia, Vancouver, BC, Canada; Department of Medicine, University of British Columbia, Vancouver, BC, Canada; Center for Cardiovascular Innovation, Vancouver, BC, Canada; Montreal Heart Institute, Department of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Michael D Hill
- Department of Clinical Neuroscience and Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Wouters F, Gruwez H, Vranken J, Vanhaen D, Daelman B, Ernon L, Mesotten D, Vandervoort P, Verhaert D. The Potential and Limitations of Mobile Health and Insertable Cardiac Monitors in the Detection of Atrial Fibrillation in Cryptogenic Stroke Patients: Preliminary Results From the REMOTE Trial. Front Cardiovasc Med 2022; 9:848914. [PMID: 35498000 PMCID: PMC9043805 DOI: 10.3389/fcvm.2022.848914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 02/25/2022] [Indexed: 11/20/2022] Open
Abstract
Aim This paper presents the preliminary results from the ongoing REMOTE trial. It aims to explore the opportunities and hurdles of using insertable cardiac monitors (ICMs) and photoplethysmography-based mobile health (PPG-based mHealth) using a smartphone or smartwatch to detect atrial fibrillation (AF) in cryptogenic stroke and transient ischemic attack (TIA) patients. Methods and Results Cryptogenic stroke or TIA patients (n = 39) received an ICM to search for AF and were asked to use a blinded PPG-based mHealth application for 6 months simultaneously. They were randomized to smartphone or smartwatch monitoring. In total, 68,748 1-min recordings were performed using PPG-based mHealth. The number of mHealth recordings decreased significantly over time in both smartphone and smartwatch groups (p < 0.001 and p = 0.002, respectively). Insufficient signal quality was more frequently observed in smartwatch (43.3%) compared to smartphone recordings (17.8%, p < 0.001). However, when looking at the labeling of the mHealth recordings on a patient level, there was no significant difference in signal quality between both groups. Moreover, the use of a smartwatch resulted in significantly more 12-h periods (91.4%) that were clinically useful compared to smartphone users (84.8%) as they had at least one recording of sufficient signal quality. Simultaneously, continuous data was collected from the ICMs, resulting in approximately 6,660,000 min of data (i.e., almost a 100-fold increase compared to mHealth). The ICM algorithm detected AF and other cardiac arrhythmias in 10 and 19 patients, respectively. However, these were only confirmed after adjudication by the remote monitoring team in 1 (10%) and 5 (26.3%) patients, respectively. The confirmed AF was also detected by PPG-based mHealth. Conclusion Based on the preliminary observations, our paper illustrates the potential as well as the limitations of PPG-based mHealth and ICMs to detect AF in cryptogenic stroke and TIA patients in four elements: (i) mHealth was able to detect AF in a patient in which AF was confirmed on the ICM; (ii) Even state-of-the-art ICMs yielded many false-positive AF registrations; (iii) Both mHealth and ICM still require physician revision; and (iv) Blinding of the mHealth results impairs compliance and motivation.
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Affiliation(s)
- Femke Wouters
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
- *Correspondence: Femke Wouters,
| | - Henri Gruwez
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
- Department of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium
- Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Julie Vranken
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Dimitri Vanhaen
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Bo Daelman
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Ludovic Ernon
- Department of Neurology, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Dieter Mesotten
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department of Anesthesiology, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Pieter Vandervoort
- Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department Future Health, Ziekenhuis Oost-Limburg, Genk, Belgium
- Department of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - David Verhaert
- Department of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium
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