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Guarracini F, Maines M, Nappi F, Vitulano G, Marini M, Urraro F, Franculli F, Napoli P, Giacopelli D, Del Greco M, Giammaria M. Daily and automatic remote monitoring of implantable cardiac monitors: A descriptive analysis of transmitted episodes. Int J Cardiol 2023; 389:131199. [PMID: 37481001 DOI: 10.1016/j.ijcard.2023.131199] [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: 05/26/2023] [Revised: 07/04/2023] [Accepted: 07/19/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Remote Monitoring (RM) is recognized for its ability to enhance the clinical management of patients with implantable cardiac monitor (ICM). This study aims to provide a comprehensive description of the arrhythmic episodes transmitted by a daily and automatic RM system from a cohort of ICM patients. METHODS The study retrospectively analyzed daily transmissions from consecutive patients who had been implanted with a long-sensing vector ICM (BIOMONITOR III/IIIm) at four sites. All transmitted arrhythmic recordings were evaluated to determine whether they were true positive episodes or false positives (FP). RESULTS A total of 14,136 episodes were transmitted from 119 patients (74.8% male, median age 62 years old) during a median follow-up of 371 days. The rate of arrhythmic episodes was 14.2 per patient-year (interquartile range: 1.8-126), with 97 patients (81.5%) experiencing at least one ICM activation. Fifty-five percent of episodes were identified as FP, and 67 patients (56.3%) had at least one inappropriate activation. The FP rate was 1.4 per patient-year (0-40). The best per-episode predictive positive values were observed for bradycardia and atrial fibrillation (0.595 and 0.553, respectively). Notably, the implementation of an algorithm designed to minimize false detections significantly reduced the prevalence of atrial fibrillation FP episodes (17.6% vs. 43.5%, p = 0.008). CONCLUSION Daily and automatic RM appears to be a reliable tool for the comprehensive remote management of ICM patients. However, the number of arrhythmic episodes requiring review is high, and further improvements are needed to reduce FP and facilitate accurate interpretation of transmissions.
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Affiliation(s)
| | | | - Felice Nappi
- Division of Cardiology, Moscati Hospital, Avellino, Italy
| | - Gennaro Vitulano
- Division of Cardiology, OO.RR. San Giovanni di Dio Ruggi d'Aragona, 84131 Salerno (SA), Italy
| | | | | | - Fabio Franculli
- Division of Cardiology, OO.RR. San Giovanni di Dio Ruggi d'Aragona, 84131 Salerno (SA), Italy
| | - Paola Napoli
- Clinical Unit, Biotronik Italia S.p.a, Cologno Monzese (MI), Italy
| | - Daniele Giacopelli
- Clinical Unit, Biotronik Italia S.p.a, Cologno Monzese (MI), Italy; Department of Cardiac, Thoracic, Vascular Sciences & Public Health, University of Padova, Italy
| | - Maurizio Del Greco
- Department of Cardiology, Santa Maria del Carmine Hospital, Rovereto, Italy
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Alonso A, Kraus J, Ebert A, Nikolayenko V, Kruska M, Sandikci V, Lesch H, Duerschmied D, Platten M, Baumann S, Szabo K, Akin I, Fastner C. Left atrial area index provides the best prediction of atrial fibrillation in ischemic stroke patients: results from the LAETITIA observational study. Front Neurol 2023; 14:1237550. [PMID: 37854062 PMCID: PMC10580428 DOI: 10.3389/fneur.2023.1237550] [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: 06/09/2023] [Accepted: 08/22/2023] [Indexed: 10/20/2023] Open
Abstract
Background and aims Left atrial (LA) enlargement has been repeatedly shown to be associated with the diagnosis of atrial fibrillation (AF). In clinical practice, several parameters are available to determine LA enlargement: LA diameter index (LADI), LA area index (LAAI), or LA volume index (LAVI). We investigated the predictive power of these individual LA parameters for AF in patients with acute ischemic stroke or transient ischemic attack (TIA). Methods LAETITIA is a retrospective observational study that reflects the clinical reality of acute stroke care in Germany. Consecutive patient cases with acute ischemic cerebrovascular event (CVE) in 2019 and 2020 were identified from the Mannheim stroke database. Predictive power of each LA parameter was determined by the area under the curve (AUC) of receiver operating characteristic curves. A cutoff value was determined. A multiple logistic regression analysis was performed to confirm the strongest LA parameter as an independent predictor of AF in patients with acute ischemic CVE. Results A total of 1,910 patient cases were included. In all, 82.0% of patients had suffered a stroke and 18.0% had a TIA. Patients presented with a distinct cardiovascular risk profile (reflected by a CHA2DS2-VASc score ≥2 prior to hospital admission in 85.3% of patients) and were moderately affected on admission [median NIHSS score 3 (1; 8)]. In total, 19.5% of patients had pre-existing AF, and 8.0% were newly diagnosed with AF. LAAI had the greatest AUC of 0.748, LADI of 0.706, and LAVI of 0.719 (each p < 0.001 vs. diagonal line; AUC-LAAI vs. AUC-LADI p = 0.030, AUC-LAAI vs. AUC-LAVI p = 0.004). LAAI, increasing NIHSS score on admission, and systolic heart failure were identified as independent predictors of AF in patients with acute ischemic CVE. To achieve a clinically relevant specificity of 70%, a cutoff value of ≥10.3 cm2/m2 was determined for LAAI (sensitivity of 69.8%). Conclusion LAAI revealed the best prediction of AF in patients with acute ischemic CVE and was confirmed as an independent risk factor. An LAAI cutoff value of 10.3 cm2/m2 could serve as an inclusion criterion for intensified AF screening in patients with embolic stroke of undetermined source in subsequent studies.
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Affiliation(s)
- Angelika Alonso
- Department of Neurology, University Medical Centre Mannheim and Mannheim Centre for Translational Neurosciences, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Josephine Kraus
- Department of Neurology, University Medical Centre Mannheim and Mannheim Centre for Translational Neurosciences, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Anne Ebert
- Department of Neurology, University Medical Centre Mannheim and Mannheim Centre for Translational Neurosciences, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Mathieu Kruska
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, Mannheim, Germany
| | - Vesile Sandikci
- Department of Neurology, University Medical Centre Mannheim and Mannheim Centre for Translational Neurosciences, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Hendrik Lesch
- Department of Neurology, University Medical Centre Mannheim and Mannheim Centre for Translational Neurosciences, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Daniel Duerschmied
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, Mannheim, Germany
| | - Michael Platten
- Department of Neurology, University Medical Centre Mannheim and Mannheim Centre for Translational Neurosciences, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan Baumann
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, Mannheim, Germany
| | - Kristina Szabo
- Department of Neurology, University Medical Centre Mannheim and Mannheim Centre for Translational Neurosciences, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Ibrahim Akin
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, Mannheim, Germany
| | - Christian Fastner
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, Mannheim, Germany
- Department of Geriatrics, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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Piot O, Guidoux C. Searching for atrial fibrillation post stroke: is it time for digital devices? Front Cardiovasc Med 2023; 10:1212128. [PMID: 37576103 PMCID: PMC10412929 DOI: 10.3389/fcvm.2023.1212128] [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: 04/25/2023] [Accepted: 07/13/2023] [Indexed: 08/15/2023] Open
Abstract
The detection of atrial fibrillation (AF) in patients with cryptogenic stroke (CS) is an essential part of management to limit the risk of recurrence. However, in practice, not all patients who need AF screening are screened, or are screened with significant delays. The disparities of access to examinations, their costs as well as the increasing workload require an evolution of practices both in terms of organization and the type of equipment used. The ubiquity and ease of use of digital devices, together with their evaluation in large population and their expected lower cost, make them attractive as potential alternatives to current equipment at all stages of patient management. However, reliability and accuracy of each digital device for the detection of paroxysmal AF in CS patients should be established before consideration for inclusion in clinical practice. The aim of this short analysis is therefore to review the current practical issues for AF detection in post stroke patients, the potential benefits and issues using digital devices in stroke patients and to position the different digital devices as alternative to standard equipment at each stage of stroke patient pathway. This may help to design future studies for the evaluation of these devices in this context. Under this condition, the time for digital devices to detect AF after stroke seems very close.
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Affiliation(s)
- Olivier Piot
- Department of Cardiac Arrhythmia, Centre Cardiologique du Nord, Saint-Denis, France
| | - Céline Guidoux
- Department of Neurology and Stroke Unit, Bichat Hospital, Assistance Publique–Hôpitaux de Paris, Paris, France
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Ratajczak-Tretel B, Lambert AT, Al-Ani R, Arntzen K, Bakkejord GK, Bekkeseth HMO, Bjerkeli V, Eldøen G, Gulsvik AK, Halvorsen B, Høie GA, Ihle-Hansen H, Ihle-Hansen H, Ingebrigtsen S, Kremer C, Krogseth SB, Kruuse C, Kurz M, Nakstad I, Novotny V, Næss H, Qazi R, Rezaj MK, Rørholt DM, Steffensen LH, Sømark J, Tobro H, Truelsen TC, Wassvik L, Ægidius KL, Atar D, Aamodt AH. Prediction of underlying atrial fibrillation in patients with a cryptogenic stroke: results from the NOR-FIB Study. J Neurol 2023:10.1007/s00415-023-11680-8. [PMID: 37162578 DOI: 10.1007/s00415-023-11680-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 03/19/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND Atrial fibrillation (AF) detection and treatment are key elements to reduce recurrence risk in cryptogenic stroke (CS) with underlying arrhythmia. The purpose of the present study was to assess the predictors of AF in CS and the utility of existing AF-predicting scores in The Nordic Atrial Fibrillation and Stroke (NOR-FIB) Study. METHOD The NOR-FIB study was an international prospective observational multicenter study designed to detect and quantify AF in CS and cryptogenic transient ischaemic attack (TIA) patients monitored by the insertable cardiac monitor (ICM), and to identify AF-predicting biomarkers. The utility of the following AF-predicting scores was tested: AS5F, Brown ESUS-AF, CHA2DS2-VASc, CHASE-LESS, HATCH, HAVOC, STAF and SURF. RESULTS In univariate analyses increasing age, hypertension, left ventricle hypertrophy, dyslipidaemia, antiarrhythmic drugs usage, valvular heart disease, and neuroimaging findings of stroke due to intracranial vessel occlusions and previous ischemic lesions were associated with a higher likelihood of detected AF. In multivariate analysis, age was the only independent predictor of AF. All the AF-predicting scores showed significantly higher score levels for AF than non-AF patients. The STAF and the SURF scores provided the highest sensitivity and negative predictive values, while the AS5F and SURF reached an area under the receiver operating curve (AUC) > 0.7. CONCLUSION Clinical risk scores may guide a personalized evaluation approach in CS patients. Increasing awareness of the usage of available AF-predicting scores may optimize the arrhythmia detection pathway in stroke units.
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Affiliation(s)
- B Ratajczak-Tretel
- Department of Neurology, Østfold Hospital Trust, Grålum, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - A Tancin Lambert
- Department of Neurology, Østfold Hospital Trust, Grålum, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - R Al-Ani
- Department of Cardiology, Østfold Hospital Trust, Grålum, Norway
| | - K Arntzen
- Department for Neurology, Nordlandssykehuset, Bodø, Norway
| | - G K Bakkejord
- Department for Neurology, Nordlandssykehuset, Bodø, Norway
| | - H M O Bekkeseth
- Department of Neurology, Innlandet Hospital Trust, Lillehammer Hospital, Lillehammer, Norway
| | - V Bjerkeli
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - G Eldøen
- Department of Neurology, Molde Hospital, Molde, Norway
| | - A K Gulsvik
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - B Halvorsen
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - G A Høie
- Department of Cardiology, Østfold Hospital Trust, Grålum, Norway
| | - H Ihle-Hansen
- Stroke Unit, Oslo University Hospital, Ullevål, Oslo, Norway
| | - H Ihle-Hansen
- Department of Internal Medicine, Vestre Viken Hospital Trust, Bærum Hospital, Gjettum, Norway
| | - S Ingebrigtsen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - C Kremer
- Department of Neurology, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - S B Krogseth
- Department of Neurology, Vestfold Hospital, Tønsberg, Norway
| | - C Kruuse
- Department of Neurology, Herlev Gentofte Hospital, Herlev, Denmark
| | - M Kurz
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - I Nakstad
- Department of Neurology, Vestre Viken Hospital Trust, Drammen Hospital, Drammen, Norway
| | - V Novotny
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - H Næss
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - R Qazi
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - M K Rezaj
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - D M Rørholt
- Department of Neurology, Molde Hospital, Molde, Norway
| | - L H Steffensen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - J Sømark
- Department of Neurology, Innlandet Hospital Trust, Lillehammer Hospital, Lillehammer, Norway
| | - H Tobro
- Department of Neurology, Telemark Hospital, Skien, Norway
| | - T C Truelsen
- Department of Neurology, Rigshospitalet University Hospital, Copenhagen, Denmark
| | - L Wassvik
- Department of Neurology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - K L Ægidius
- Department of Neurology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - D Atar
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Cardiology, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Anne Hege Aamodt
- Department of Neurology, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
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Acampa M, Lazzerini PE, Lattanzi S, Rubiera M. Cryptogenic stroke as a working diagnosis: the need for an early and comprehensive diagnostic work-up. BMC Neurol 2023; 23:153. [PMID: 37060045 PMCID: PMC10103391 DOI: 10.1186/s12883-023-03206-6] [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: 03/10/2023] [Accepted: 04/12/2023] [Indexed: 04/16/2023] Open
Abstract
In the Nordic Atrial Fibrillation and Stroke (NOR-FIB) study, the causes of ischemic stroke were identified in 43% of cryptogenic stroke patients monitored with implantable cardiac monitor (ICM), but one-third of these patients had non-cardioembolic causes. These results suggest the need for an early and comprehensive diagnostic work-up before inserting an ICM.
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Affiliation(s)
- Maurizio Acampa
- Stroke Unit, Department of Emergency-Urgency and Transplants, Azienda Ospedaliera Universitaria Senese, "Santa Maria alle Scotte" General-Hospital, Siena, Italy.
- U.O.C. Stroke Unit, Policlinico 'S. Maria alle Scotte', viale Bracci, n.1, Siena, 53100, Italy.
| | - Pietro Enea Lazzerini
- Department of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy
| | - Simona Lattanzi
- Department of Experimental and Clinical Medicine, Neurological Clinic, Marche Polytechnic University, Ancona, Italy
| | - Marta Rubiera
- Stroke Unit, Department of Neurology, Hospital Vall d'Hebron, Barcelona, Spain
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Diener HC, Wachter R, Wong A, Thijs V, Schnabel RB, Ntaios G, Kasner S, Rothwell PM, Passman R, Saver JL, Albers BA, Bernstein RA. Monitoring for atrial fibrillation prior to patent foramen ovale closure after cryptogenic stroke. Int J Stroke 2023; 18:400-407. [PMID: 36050817 PMCID: PMC10037544 DOI: 10.1177/17474930221124412] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Patients who had a cryptogenic stroke (CS) suspected to be causally related to a patent foramen ovale (PFO) are candidates for percutaneous PFO closure. In such patients, it is important to screen for atrial fibrillation (AF). Limited guidance is available regarding AF monitoring strategies in CS patients with PFO addressing optimal monitoring technology and duration. AIM To provide a narrative review of cardiac rhythm monitoring in CS patients considered for PFO closure, including current practices, stroke recurrences after CS, findings from monitoring studies in CS patients, and predictors for AF detection published in the literature. To propose a personalized strategy for cardiac monitoring in CS patients, accounting for aspects predicting AF detection. SUMMARY OF REVIEW AF detection in CS patients is predicted by age, left atrial enlargement, prolonged PR interval, frequent premature atrial contractions, interatrial conduction block, diabetes, prior brain infarctions, leukoaraiosis, elevated B-type natriuretic peptide (BNP)/N-terminal pro B-type natriuretic peptide (NT-proBNP) levels, and a family history of AF, as well as composed scores (e.g. CHA2DS2-VASc, atrial fibrillation in embolic stroke of undetermined source (AF-ESUS)). The causal role of the PFO may be accounted for by the risk of paradoxical embolism (RoPE) score and/or the PFO-Associated Stroke Causal Likelihood (PASCAL) classification. CONCLUSION A personalized approach to AF detection in CS patients is proposed, accounting for the likelihood of AF detection and aimed at obtaining sufficient confidence regarding the absence of AF in patients considered for PFO closure. In addition, the impact of high-risk PFO features on the monitoring strategy is discussed.
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Affiliation(s)
- Hans-Christoph Diener
- Department of Neuroepidemiology, Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Medical Faculty of the University of Duisburg-Essen, Essen, Germany
| | - Rolf Wachter
- Department of Cardiology, University Hospital Leipzig, Leipzig, Germany
| | - Andrew Wong
- Neurology Department, Royal Brisbane and Women's Hospital and the University of Queensland, Brisbane, QLD, Australia
| | - Vincent Thijs
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia
- Department of Neurology, Austin Health, Heidelberg, VIC, Australia
| | - Renate B Schnabel
- Department of Cardiology, University Heart & Vascular Center Hamburg, Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - George Ntaios
- Department of Internal Medicine, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | - Scott Kasner
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Peter M Rothwell
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Rod Passman
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jeffrey L Saver
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Bert A Albers
- Albers Clinical Evidence Consultancy, Winterswijk Woold, The Netherlands
| | - Richard A Bernstein
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Ratajczak-Tretel B, Lambert AT, Al-Ani R, Arntzen K, Bakkejord GK, Bekkeseth HMO, Bjerkeli V, Eldøen G, Gulsvik AK, Halvorsen B, Høie GA, Ihle-Hansen H, Ingebrigtsen S, Kremer C, Krogseth SB, Kruuse C, Kurz M, Nakstad I, Novotny V, Naess H, Qazi R, Rezaj MK, Rørholt DM, Steffensen LH, Sømark J, Tobro H, Truelsen TC, Wassvik L, Ægidius KL, Atar D, Aamodt AH. Underlying causes of cryptogenic stroke and TIA in the nordic atrial fibrillation and stroke (NOR-FIB) study - the importance of comprehensive clinical evaluation. BMC Neurol 2023; 23:115. [PMID: 36944929 PMCID: PMC10028765 DOI: 10.1186/s12883-023-03155-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 03/09/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Cryptogenic stroke is a heterogeneous condition, with a wide spectrum of possible underlying causes for which the optimal secondary prevention may differ substantially. Attempting a correct etiological diagnosis to reduce the stroke recurrence should be the fundamental goal of modern stroke management. METHODS Prospective observational international multicenter study of cryptogenic stroke and cryptogenic transient ischemic attack (TIA) patients clinically monitored for 12 months to assign the underlying etiology. For atrial fibrillation (AF) detection continuous cardiac rhythm monitoring with insertable cardiac monitor (Reveal LINQ, Medtronic) was performed. The 12-month follow-up data for 250 of 259 initially included NOR-FIB patients were available for analysis. RESULTS After 12 months follow-up probable stroke causes were revealed in 43% patients, while 57% still remained cryptogenic. AF and atrial flutter was most prevalent (29%). In 14% patients other possible causes were revealed (small vessel disease, large-artery atherosclerosis, hypercoagulable states, other cardioembolism). Patients remaining cryptogenic were younger (p < 0.001), had lower CHA2DS2-VASc score (p < 0.001) on admission, and lower NIHSS score (p = 0.031) and mRS (p = 0.016) at discharge. Smoking was more prevalent in patients that were still cryptogenic (p = 0.014), while dyslipidaemia was less prevalent (p = 0.044). Stroke recurrence rate was higher in the cryptogenic group compared to the group where the etiology was revealed, 7.7% vs. 2.8%, (p = 0.091). CONCLUSION Cryptogenic stroke often indicates the inability to identify the cause in the acute phase and should be considered as a working diagnosis until efforts of diagnostic work up succeed in identifying a specific underlying etiology. Timeframe of 6-12-month follow-up may be considered as optimal. TRIAL REGISTRATION ClinicalTrials.gov Identifier NCT02937077, EudraCT 2018-002298-23.
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Affiliation(s)
- B Ratajczak-Tretel
- Department of Neurology, Østfold Hospital Trust, Postboks 300, Grålum, 1714, Norway.
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - A Tancin Lambert
- Department of Neurology, Østfold Hospital Trust, Postboks 300, Grålum, 1714, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - R Al-Ani
- Department of Cardiology, Østfold Hospital Trust, Grålum, Norway
| | - K Arntzen
- Department for Neurology, Nordlandssykehuset, Bodø, Norway
| | - G K Bakkejord
- Department for Neurology, Nordlandssykehuset, Bodø, Norway
| | - H M O Bekkeseth
- Lillehammer Hospital, Department of Neurology, Innlandet Hospital Trust, Lillehammer, Norway
| | - V Bjerkeli
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - G Eldøen
- Department of Neurology, Molde Hospital, Molde, Norway
| | - A K Gulsvik
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - B Halvorsen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - G A Høie
- Department of Cardiology, Østfold Hospital Trust, Grålum, Norway
| | - H Ihle-Hansen
- Stroke Unit, Oslo University Hospital, Ullevål, Oslo, Norway
- Department of Internal Medicine, Vestre Viken Hospital Trust, Baerum Hospital, Gjettum, Norway
| | - S Ingebrigtsen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - C Kremer
- Department of Neurology, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - S B Krogseth
- Department of Neurology, Vestfold Hospital, Tønsberg, Norway
| | - C Kruuse
- Department of Neurology, Herlev Gentofte Hospital, Herlev, Denmark
| | - M Kurz
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - I Nakstad
- Drammen Hospital, Department of Neurology, Vestre Viken Hospital Trust, Drammen, Norway
| | - V Novotny
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - H Naess
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - R Qazi
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - M K Rezaj
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - D M Rørholt
- Department of Neurology, Molde Hospital, Molde, Norway
| | - L H Steffensen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - J Sømark
- Lillehammer Hospital, Department of Neurology, Innlandet Hospital Trust, Lillehammer, Norway
| | - H Tobro
- Department of Neurology, Telemark Hospital, Skien, Norway
| | - T C Truelsen
- Department of Neurology, Rigshospitalet University Hospital, Copenhagen, Denmark
| | - L Wassvik
- Department of Neurology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - K L Ægidius
- Department of Neurology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - D Atar
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Cardiology, Oslo University Hospital, Ullevål, Oslo, Norway
| | - A H Aamodt
- Department of Neurology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Department of Neuromedicine and Movement science, The Norwegian University of Science and Technology, Trondheim, Norway
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Lucà F, Pino PG, Parrini I, Di Fusco SA, Ceravolo R, Madeo A, Leone A, La Mair M, Benedetto FA, Riccio C, Oliva F, Colivicchi F, Gulizia MM, Gelsomino S. Patent Foramen Ovale and Cryptogenic Stroke: Integrated Management. J Clin Med 2023; 12:1952. [PMID: 36902748 PMCID: PMC10004032 DOI: 10.3390/jcm12051952] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/13/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Patent foramen ovale (PFO) is a common cardiac abnormality with a prevalence of 25% in the general population. PFO has been associated with the paradoxical embolism causing cryptogenic stroke and systemic embolization. Results from clinical trials, meta-analyses, and position papers support percutaneous PFO device closure (PPFOC), especially if interatrial septal aneurysms coexist and in the presence of large shunts in young patients. Remarkably, accurately evaluating patients to refer to the closure strategy is extremely important. However, the selection of patients for PFO closure is still not so clear. The aim of this review is to update and clarify which patients should be considered for closure treatment.
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Affiliation(s)
- Fabiana Lucà
- Cardiology Department, Grande Ospedale Metropolitano, GOM, AO Bianchi Melacrino Morelli, 89129 Reggio di Calabria, Italy
| | - Paolo G. Pino
- Cardiology Department, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Iris Parrini
- Cardiology Department, Mauriziano Hospital, 10128 Torino, Italy
| | - Stefania Angela Di Fusco
- Clinical and Rehabilitation Cardiology Department, San Filippo Neri Hospital, ASL Roma 1, 00135 Roma, Italy
| | - Roberto Ceravolo
- Cardiology Unit, Giovanni Paolo II Hospital, 88046 Lamezia, Italy
| | | | - Angelo Leone
- Ospedale Santissima Annunziata, 87100 Cosenza, Italy
| | - Mark La Mair
- Cardiothoracic Department, Brussels University Hospital, 1090 Jette, Belgium
| | - Francesco Antonio Benedetto
- Cardiology Department, Grande Ospedale Metropolitano, GOM, AO Bianchi Melacrino Morelli, 89129 Reggio di Calabria, Italy
| | - Carmine Riccio
- Division of Clinical Cardiology, A.O.R.N. ‘Sant’Anna e San Sebastiano’, 81100 Caserta, Italy
| | - Fabrizio Oliva
- De Gasperis Cardio Center, Niguarda Hospital, 20162 Milano, Italy
| | - Furio Colivicchi
- Clinical and Rehabilitation Cardiology Department, San Filippo Neri Hospital, ASL Roma 1, 00135 Roma, Italy
| | | | - Sandro Gelsomino
- Cardiothoracic Department, Maastricht University, 6211 LK Maastrich, The Netherlands
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Mele F, Scopelliti G, Manini A, Ferrari Aggradi C, Baiardo M, Schiavone M, Viecca M, Ianniello A, Bertora P, Forleo GB, Pantoni L. Etiologic reclassification of cryptogenic stroke after implantable cardiac monitoring and computed tomography angiography re-assessment. J Neurol 2023; 270:377-385. [PMID: 36098839 PMCID: PMC9469058 DOI: 10.1007/s00415-022-11370-x] [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: 07/26/2022] [Revised: 08/25/2022] [Accepted: 09/04/2022] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Different mechanisms may underlie cryptogenic stroke, including subclinical atrial fibrillation (AF), nonstenotic carotid plaques (NCP), and aortic arch atherosclerosis (AAA). In a cohort of cryptogenic stroke patients, we aimed to: (1) evaluate the prevalence of subclinical AF, NCP, and AAA, and reclassify the etiology accordingly; (2) compare the clinical features of patients with reclassified etiology with those with confirmed cryptogenic stroke. METHODS Data of patients hospitalized for cryptogenic stroke between January 2018 and February 2021 were retrospectively analyzed. Patients were included if they received implantable cardiac monitoring (ICM) to detect subclinical AF. Baseline computed tomography angiography (CTA) was re-evaluated to assess NCP and AAA. Since aortic plaques with ulceration/intraluminal thrombus were considered pathogenetic during the initial workup, only patients with milder AAA were included. Stroke etiology was reclassified as "cardioembolic", "atherosclerotic", or "mixed" based on the detection of AF and NCP/AAA. Patients with "true cryptogenic" stroke (no AF, ipsilateral NCP, or AAA detected) were compared with those with reclassified etiology. RESULTS Among 63 patients included, 21 (33%) were diagnosed with AF (median follow-up time of 15 months), 12 (19%) had ipsilateral NCP, and 6 (10%) had AAA. Stroke etiology was reclassified in 30 patients (48%): cardioembolic in 14 (22%), atherosclerotic in 9 (14%), and mixed in 7 (11%). Patients with true cryptogenic stroke were younger compared to those with reclassified etiology (p = 0.001). DISCUSSION One or more potential covert stroke sources can be recognized in half of the patients with a cryptogenic stroke through long-term cardiac monitoring and focused CTA re-assessment.
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Affiliation(s)
- Francesco Mele
- Neurology Unit, Luigi Sacco University Hospital, Milan, Italy
| | - Giuseppe Scopelliti
- Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy ,Univ. Lille, Inserm, CHU Lille, U1172, LilNCog, Lille Neuroscience & Cognition, Lille, France
| | - Arianna Manini
- Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy ,Department of Pathophysiology and Transplantation, “Dino Ferrari” Center, University of Milan, Milan, Italy
| | - Carola Ferrari Aggradi
- Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy
| | - Matteo Baiardo
- Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy
| | - Marco Schiavone
- Cardiology Unit, Luigi Sacco University Hospital, Milan, Italy
| | - Maurizio Viecca
- Cardiology Unit, Luigi Sacco University Hospital, Milan, Italy
| | | | - Pierluigi Bertora
- Neurology Unit, Luigi Sacco University Hospital, Milan, Italy ,Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy
| | | | - Leonardo Pantoni
- Neurology Unit, Luigi Sacco University Hospital, Milan, Italy ,Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy
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Himmelreich JCL, Lucassen WAM, Coutinho JM, Harskamp RE, de Groot JR, CPM van Weert H. 14-day Holter monitoring for atrial fibrillation after ischemic stroke: The yield of guideline-recommended monitoring duration. Eur Stroke J 2022; 8:157-167. [PMID: 37021150 PMCID: PMC10069211 DOI: 10.1177/23969873221146027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 11/29/2022] [Indexed: 12/25/2022] Open
Abstract
Introduction: Current European Stroke Organisation (ESO) guidelines recommend >48 h of continuous electrocardiographic monitoring for atrial fibrillation (AF) in all patients with ischemic stroke or transient ischemic attack (TIA) with undetermined origin. We assessed the yield of the guideline-recommended monitoring for AF, as well as of extending monitoring up to 14 days. Patients and methods: We included consecutive patients with stroke/TIA without AF in an academic hospital in The Netherlands. We reported AF incidence and number needed to screen (NNS) in the overall sample after 48 h and 14 days of Holter monitoring. Results: Among 379 patients with median age 63 years (IQR 55–73), 58% male, Holter monitoring detected 10 cases of incident AF during a median of 13 (IQR 12–14) days of monitoring. Seven AF cases were detected within the first 48 hours (incidence 1.85%, 95% CI 0.74–3.81; NNS 54), and three additional AF cases were recorded among the 362 patients with >48 h of monitoring and without AF ⩽ 48 h (incidence 0.83%, 95% CI: 0.17–2.42; NNS 121). All AF cases were detected within the first 7 days of monitoring. Our sample was subject to sampling bias favoring inclusion of participants with low AF risk. Discussion: Strengths of this work were the broad inclusion criteria as recommended by ESO guidelines, and high Holter adherence among participants. The analysis was limited by inclusion of lower-risk cases and a relatively small sample size. Conclusion: In low-risk patients with recent stroke or TIA, ESO guideline-recommended screening for AF resulted in a low AF yield, with limited additional value of monitoring up to 14 days. Our results underline the need for a personalized approach in determining a patient’s optimum duration for post-stroke non-invasive ambulatory monitoring.
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Affiliation(s)
- Jelle CL Himmelreich
- Department of General Practice, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Personalized Medicine, Amsterdam, The Netherlands
| | - Wim AM Lucassen
- Department of General Practice, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Personalized Medicine, Amsterdam, The Netherlands
| | - Jonathan M Coutinho
- Department of Neurology, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurovascular Disorders, Amsterdam, The Netherlands
| | - Ralf E Harskamp
- Department of General Practice, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Personalized Medicine, Amsterdam, The Netherlands
| | - Joris R de Groot
- Department of Cardiology, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam, The Netherlands
| | - Henk CPM van Weert
- Department of General Practice, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Personalized Medicine, Amsterdam, The Netherlands
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Prediction of incident atrial fibrillation in post-stroke patients using machine learning: a French nationwide study. Clin Res Cardiol 2022:10.1007/s00392-022-02140-w. [DOI: 10.1007/s00392-022-02140-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022]
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Ward K, Vail A, Cameron A, Katan M, Lip GYH, Dawson J, Smith CJ, Kishore AK. Molecular biomarkers predicting newly detected atrial fibrillation after ischaemic stroke or TIA: A systematic review. Eur Stroke J 2022; 8:125-131. [PMID: 37021168 PMCID: PMC10069198 DOI: 10.1177/23969873221136927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/18/2022] [Indexed: 12/12/2022] Open
Abstract
Background: Several molecular biomarkers are available that predict newly detected atrial fibrillation (NDAF). We aimed to identify such biomarkers that predict NDAF after an Ischaemic stroke (IS)/Transient Ischaemic Attack (TIA) and evaluate their performance. Methods: A systematic review was undertaken in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Studies of patients with IS, TIA, or both, who underwent ECG monitoring for ⩾24 h, which reported molecular biomarkers and frequency of NDAF after electronic searches of multiple databases were included. Results: Twenty-one studies (76% IS, 24% IS and TIA) involving 4640 patients were included. Twelve biomarkers were identified, with cardiac biomarkers evaluated in the majority (75%) of patients. Performance measures were inconsistently reported. Among cohorts selecting high-risk individuals (12 studies), the most studied biomarkers were N-Terminal-Pro Brain Natriuretic Peptide (NT-ProBNP, five studies; C-statistics reported by three studies, 0.69–0.88) and Brain Natriuretic Peptide (BNP, two studies; C-statistics reported in two studies, 0.68–0.77). Among unselected cohorts (nine studies), the most studied biomarker was BNP (six studies; C-statistics reported in five studies, 0.75–0.88). Only BNP was externally validated (two studies) but using different thresholds to categorise risk of NDAF. Conclusion: Cardiac biomarkers appear to have modest to good discrimination for predicting NDAF, although most analyses were limited by small, heterogeneous study populations. Their clinical utility should be explored further, and this review supports the need to assess the role of molecular biomarkers in large prospective studies with standardised selection criteria, definition of clinically significant NDAF and laboratory assays.
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Affiliation(s)
- Kirsty Ward
- Manchester Centre for Clinical Neurosciences, Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Salford Care organisation, Northern Care Alliance NHS Foundation Trust, UK
| | - Andy Vail
- Centre for Biostatistics, University of Manchester, Manchester Academic Health Science Centre, UK
| | - Alan Cameron
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Mira Katan
- Stroke Center/Dept. Of Neurology University Hospital and University of Basel, Switzerland
- Stroke Center/Dept. Of Neurology University Hospital and University of Zurich, Switzerland
| | - Gregory YH Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Jesse Dawson
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Craig J Smith
- Manchester Centre for Clinical Neurosciences, Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Salford Care organisation, Northern Care Alliance NHS Foundation Trust, UK
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Amit K Kishore
- Manchester Centre for Clinical Neurosciences, Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Salford Care organisation, Northern Care Alliance NHS Foundation Trust, UK
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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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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64
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Tsivgoulis G, Palaiodimou L, Triantafyllou S, Köhrmann M, Dilaveris P, Tsioufis K, Magiorkinis G, Krogias C, Schellinger PD, Caso V, Paciaroni M, Sharma M, Lemmens R, Gladstone DJ, Sanna T, Wachter R, Filippatos G, Katsanos AH. Prolonged cardiac monitoring for stroke prevention: A systematic review and meta-analysis of randomized-controlled clinical trials. Eur Stroke J 2022; 8:106-116. [PMID: 37021198 PMCID: PMC10069201 DOI: 10.1177/23969873221139410] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/27/2022] [Indexed: 11/22/2022] Open
Abstract
Introduction: Prolonged cardiac monitoring (PCM) substantially improves the detection of subclinical atrial fibrillation (AF) among patients with history of ischemic stroke (IS), leading to prompt initiation of anticoagulants. However, whether PCM may lead to IS prevention remains equivocal. Patients and methods: In this systematic review and meta-analysis, randomized-controlled clinical trials (RCTs) reporting IS rates among patients with known cardiovascular risk factors, including but not limited to history of IS, who received PCM for more than 7 days versus more conservative cardiac rhythm monitoring methods were pooled. Results: Seven RCTs were included comprising a total of 9048 patients with at least one known cardiovascular risk factor that underwent cardiac rhythm monitoring. PCM was associated with reduction of IS occurrence compared to conventional monitoring (Risk Ratio: 0.76; 95% CI: 0.59–0.96; I2 = 0%). This association was also significant in the subgroup of RCTs investigating implantable cardiac monitoring (Risk Ratio: 0.75; 95% CI: 0.58–0.97; I2 = 0%). However, when RCTs assessing PCM in both primary and secondary prevention settings were excluded or when RCTs investigating PCM with a duration of 7 days or less were included, the association between PCM and reduction of IS did not retain its statistical significance. Regarding the secondary outcomes, PCM was related to higher likelihood for AF detection and anticoagulant initiation. No association was documented between PCM and IS/transient ischemic attack occurrence, all-cause mortality, intracranial hemorrhage, or major bleeding. Conclusion: PCM may represent an effective stroke prevention strategy in selected patients. Additional RCTs are warranted to validate the robustness of the reported associations.
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Affiliation(s)
- Georgios Tsivgoulis
- Second Department of Neurology, “Attikon” University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Lina Palaiodimou
- Second Department of Neurology, “Attikon” University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Sokratis Triantafyllou
- Second Department of Neurology, “Attikon” University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Martin Köhrmann
- Department of Neurology, Universitätsklinikum Essen, Essen, Germany
| | - Polychronis Dilaveris
- First Department of Cardiology, National and Kapodistrian University of Athens, School of Medicine, Hippokration Hospital, Athens, Greece
| | - Konstantinos Tsioufis
- First Department of Cardiology, National and Kapodistrian University of Athens, School of Medicine, Hippokration Hospital, Athens, Greece
| | - Gkikas Magiorkinis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Christos Krogias
- Department of Neurology, St. Josef-Hospital, Ruhr University, Bochum, Germany
| | - Peter D Schellinger
- Department of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany
| | - Valeria Caso
- Stroke Unit, Santa Maria Della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Maurizio Paciaroni
- Stroke Unit, Santa Maria Della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Mukul Sharma
- Division of Neurology, McMaster University and Population Health Research Institute, Hamilton, ON, Canada
| | - Robin Lemmens
- Department of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), KU Leuven - University of Leuven, Leuven, Belgium
- Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - David J Gladstone
- Sunnybrook Research Institute and Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Tommaso Sanna
- Fondazione Policlinico Gemelli IRCCS, Rome, Italy
- Catholic University of the Sacred Heart, Institute of Cardiology, Rome, Italy
| | - Rolf Wachter
- Department of Cardiology, University Hospital Leipzig, Leipzig, Germany
- Clinic for Cardiology and Pneumology, University Medicine Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany
| | - Gerasimos Filippatos
- Second Department of Cardiology, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Aristeidis H Katsanos
- Division of Neurology, McMaster University and Population Health Research Institute, Hamilton, ON, Canada
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Ratajczak-Tretel B, Tancin Lambert A, Al-Ani R, Arntzen K, Bakkejord GK, Bekkeseth HMO, Bjerkeli V, Eldøen G, Gulsvik A, Halvorsen B, Høie GA, Ihle-Hansen H, Ihle-Hansen H, Ingebrigtsen S, Johansen H, Kremer C, Krogseth SB, Kruuse C, Kurz M, Nakstad I, Novotny V, Næss H, Qazi R, Rezaj MK, Rørholt DM, Steffensen LH, Sømark J, Tobro H, Truelsen TC, Wassvik L, Ægidius KL, Atar D, Aamodt AH. Atrial fibrillation in cryptogenic stroke and TIA patients in the nordic atrial fibrillation and stroke The Nordic Atrial Fibrillation and Stroke (NOR-FIB) Study: Main results. Eur Stroke J 2022; 8:148-156. [PMID: 37021182 PMCID: PMC10069172 DOI: 10.1177/23969873221123122] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 08/12/2022] [Indexed: 11/17/2022] Open
Abstract
Introduction: Secondary stroke prevention depends on proper identification of the underlying etiology and initiation of optimal treatment after the index event. The aim of the NOR-FIB study was to detect and quantify underlying atrial fibrillation (AF) in patients with cryptogenic stroke (CS) or transient ischaemic attack (TIA) using insertable cardiac monitor (ICM), to optimise secondary prevention, and to test the feasibility of ICM usage for stroke physicians. Patients and methods: Prospective observational international multicenter real-life study of CS and TIA patients monitored for 12 months with ICM (Reveal LINQ) for AF detection. Results: ICM insertion was performed in 91.5% by stroke physicians, within median 9 days after index event. Paroxysmal AF was diagnosed in 74 out of 259 patients (28.6%), detected early after ICM insertion (mean 48 ± 52 days) in 86.5% of patients. AF patients were older (72.6 vs 62.2; p < 0.001), had higher pre-stroke CHA₂DS₂-VASc score (median 3 vs 2; p < 0.001) and admission NIHSS (median 2 vs 1; p = 0.001); and more often hypertension ( p = 0.045) and dyslipidaemia ( p = 0.005) than non-AF patients. The arrhythmia was recurrent in 91.9% and asymptomatic in 93.2%. At 12-month follow-up anticoagulants usage was 97.3%. Discussion and conclusions: ICM was an effective tool for diagnosing underlying AF, capturing AF in 29% of the CS and TIA patients. AF was asymptomatic in most cases and would mainly have gone undiagnosed without ICM. The insertion and use of ICM was feasible for stroke physicians in stroke units.
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Affiliation(s)
- B Ratajczak-Tretel
- Department of Neurology, Østfold Hospital Trust, Grålum, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - A Tancin Lambert
- Department of Neurology, Østfold Hospital Trust, Grålum, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - R Al-Ani
- Department of Cardiology, Østfold Hospital Trust, Grålum, Norway
| | - K Arntzen
- Department for Neurology, Nordlandssykehuset, Bodø, Norway
| | - GK Bakkejord
- Department for Neurology, Nordlandssykehuset, Bodø, Norway
| | - HMO Bekkeseth
- Department of Neurology, Lillehammer Hospital, Innlandet Hospital Trust, Lillehammer, Norway
| | - V Bjerkeli
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - G Eldøen
- Department of Neurology, Molde Hospital, Molde, Norway
| | - A Gulsvik
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - B Halvorsen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - GA Høie
- Department of Cardiology, Østfold Hospital Trust, Grålum, Norway
| | - H Ihle-Hansen
- Ullevål, Stroke Unit, Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - H Ihle-Hansen
- Department of Internal Medicine, Vestre Viken Hospital Trust, Bærum Hospital, Gjettum, Norway
| | - S Ingebrigtsen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - H Johansen
- Department of Neurology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - C Kremer
- Department of Neurology, Department of Clinical Sciences Lund University, Skåne University Hospital, Malmö, Sweden
| | - SB Krogseth
- Department of Neurology, Vestfold Hospital, Tønsberg, Norway
| | - C Kruuse
- Department of Neurology, Herlev Gentofte Hospital, Herlev, Denmark
| | - M Kurz
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - I Nakstad
- Department of Neurology, Vestre Viken Hospital Trust, Drammen Hospital, Drammen, Norway
| | - V Novotny
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - H Næss
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - R Qazi
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - MK Rezaj
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - DM Rørholt
- Department of Neurology, Molde Hospital, Molde, Norway
| | - LH Steffensen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - J Sømark
- Department of Neurology, Lillehammer Hospital, Innlandet Hospital Trust, Lillehammer, Norway
- Department of Neurology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - H Tobro
- Department of Neurology, Telemark Hospital, Skien, Norway
| | - TC Truelsen
- Department of Neurology, Rigshospitalet University Hospital, Copenhagen, Denmark
| | - L Wassvik
- Department of Neurology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - KL Ægidius
- Department of Neurology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - D Atar
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Cardiology, Oslo University Hospital, Ullevål, Oslo, Norway
| | - AH Aamodt
- Department of Neurology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Department of neuromedicine and movement science, the Norwegian University of Science and Technology, Trondheim, Norway
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66
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Fonseca AC. Leaving no stone unturned: the search for stroke associated with atrial fibrillation. Ann Clin Transl Neurol 2022; 9:1502-1503. [PMID: 36039855 PMCID: PMC9539377 DOI: 10.1002/acn3.51651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 08/10/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Ana Catarina Fonseca
- Stroke Unit, Department of Neurology, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal.,Cerebral Hemodynamic Lab, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal.,Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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67
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Masiliūnas R, Dapkutė A, Grigaitė J, Lapė J, Valančius D, Bacevičius J, Katkus R, Vilionskis A, Klimašauskienė A, Ekkert A, Jatužis D. High Prevalence of Atrial Fibrillation in a Lithuanian Stroke Patient Cohort. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:800. [PMID: 35744063 PMCID: PMC9230037 DOI: 10.3390/medicina58060800] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 06/10/2022] [Accepted: 06/10/2022] [Indexed: 11/16/2022]
Abstract
Background and Objectives: Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with a five-fold increased risk for acute ischemic stroke (AIS). We aimed to estimate the prevalence of AF in a Lithuanian cohort of stroke patients, and its impact on patients regarding case fatality, functional outcome, and health-related quality of life (HRQoL) at 90 days. Materials and Methods: A single-center prospective study was carried out for four non-consecutive months between December 2018 and July 2019 in one of the two comprehensive stroke centers in Eastern Lithuania. A telephone-based follow-up was conveyed at 90 days using the modified Rankin Scale (mRS) and EuroQoL five-dimensional three-level descriptive system (EQ-5D-3L) with a self-rated visual analog scale (EQ-VAS). One-year case fatality was investigated. Results: We included 238 AIS patients with a mean age of 71.4 ± 11.9 years of whom 45.0% were female. A striking 97 (40.8%) AIS patients had a concomitant AF, in 68 (70.1%) of whom the AF was pre-existing. The AIS patients with AF were at a significantly higher risk for a large vessel occlusion (LVO; odds ratio 2.72 [95% CI 1.38−5.49], p = 0.004), and had a more severe neurological impairment at presentation (median NIHSS score (interquartile range): 9 (6−16) vs. 6 (3−9), p < 0.001). The LVO status was only detected in those who had received computed tomography angiography. Fifty-five (80.9%) patients with pre-existing AF received insufficient anticoagulation at stroke onset. All patients received a 12-lead ECG, however, in-hospital 24-h Holter monitoring was only performed in 3.4% of AIS patients without pre-existing AF. Although multivariate analyses found no statistically significant difference in one-year stroke patient survival and favorable functional status (mRS 0−2) at 90 days, when adjusted for age, gender, reperfusion treatment, baseline functional status, and baseline NIHSS, stroke patients with AF had a significantly poorer self-perceived HRQoL, indicated by a lower EQ-VAS score (regression coefficient ± standard error: β = −11.776 ± 4.850, p = 0.017). Conclusions: In our single-center prospective observational study in Lithuania, we found that 40.8% of AIS patients had a concomitant AF, were at a higher risk for an LVO, and had a significantly poorer self-perceived HRQoL at 90 days. Despite the high AF prevalence, diagnostic tools for subclinical AF were greatly underutilized.
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Affiliation(s)
- Rytis Masiliūnas
- Center of Neurology, Vilnius University, 08661 Vilnius, Lithuania; (A.D.); (J.G.); (D.V.); (A.K.); (A.E.); (D.J.)
| | - Austėja Dapkutė
- Center of Neurology, Vilnius University, 08661 Vilnius, Lithuania; (A.D.); (J.G.); (D.V.); (A.K.); (A.E.); (D.J.)
| | - Julija Grigaitė
- Center of Neurology, Vilnius University, 08661 Vilnius, Lithuania; (A.D.); (J.G.); (D.V.); (A.K.); (A.E.); (D.J.)
| | - Jokūbas Lapė
- Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania;
| | - Domantas Valančius
- Center of Neurology, Vilnius University, 08661 Vilnius, Lithuania; (A.D.); (J.G.); (D.V.); (A.K.); (A.E.); (D.J.)
| | - Justinas Bacevičius
- Center of Cardiology and Angiology, Vilnius University, 08661 Vilnius, Lithuania; (J.B.); (R.K.)
| | - Rimgaudas Katkus
- Center of Cardiology and Angiology, Vilnius University, 08661 Vilnius, Lithuania; (J.B.); (R.K.)
| | | | - Aušra Klimašauskienė
- Center of Neurology, Vilnius University, 08661 Vilnius, Lithuania; (A.D.); (J.G.); (D.V.); (A.K.); (A.E.); (D.J.)
| | - Aleksandra Ekkert
- Center of Neurology, Vilnius University, 08661 Vilnius, Lithuania; (A.D.); (J.G.); (D.V.); (A.K.); (A.E.); (D.J.)
| | - Dalius Jatužis
- Center of Neurology, Vilnius University, 08661 Vilnius, Lithuania; (A.D.); (J.G.); (D.V.); (A.K.); (A.E.); (D.J.)
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