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Khan M, Ingre M, Carlstedt F, Eriksson A, Skröder S, Star Tenn J, Rosenqvist M, Svennberg E. Increasing the reach: optimizing screening for atrial fibrillation-the STROKESTOP III study. Europace 2024; 26:euae234. [PMID: 39298681 PMCID: PMC11413581 DOI: 10.1093/europace/euae234] [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: 07/09/2024] [Revised: 08/20/2024] [Accepted: 09/03/2024] [Indexed: 09/22/2024] Open
Abstract
AIMS Atrial fibrillation (AF) is the most common type of cardiac arrythmia and is an important risk factor for ischaemic stroke. Many cases of AF remain undiagnosed due to its paroxysmal, intermittent, and often asymptomatic nature. Early detection of AF through screening and initiation of treatment with oral anticoagulants can prevent stroke, increase life expectancy, and decrease the cost of healthcare for the society. However, participation has been low in previous AF screening studies employing population screening. The aim of this study is to determine whether opportunistic screening is a superior method to increase participation in comparison to population screening. We hypothesize that opportunistic screening will significantly increase participation. METHODS AND RESULTS In our study, STROKESTOP III, a randomized prospective cohort study, we compare two different methods of AF screening in high-risk individuals: population screening vs. opportunistic screening. Sixteen different primary clinics in Värmland, Sweden, serving 75-76-year-old individuals (n = 2954), will be randomized to either population screening or opportunistic screening. The individuals will be instructed to record electrocardiogram (ECG) for 30 s, 3 times daily for 2 weeks, using a handheld one-lead ECG device. Patients with detected AF will be referred to their primary healthcare physician and offered treatment. The main objective of the study is to determine the rate of participation in opportunistic screening in comparison to population screening. CONCLUSIONS The STROKESTOP III study will provide valuable information on which screening method to use for improved participation in atrial fibrillation screening.
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Affiliation(s)
- Mashroor Khan
- Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, SE-141 86 Stockholm, Stockholm, Sweden
| | - Michael Ingre
- Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, SE-141 86 Stockholm, Stockholm, Sweden
| | - Fredrik Carlstedt
- Centre for Clinical Research and Education, Region Värmland, Karlstad, Sweden
| | - Anders Eriksson
- Department of Clinical Physiology, Region Värmland, Karlstad, Sweden
| | - Sofia Skröder
- Centre for Clinical Research and Education, Region Värmland, Karlstad, Sweden
- Faculty of Medicine and Health, School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Johanna Star Tenn
- Department of Clinical Physiology, Region Värmland, Karlstad, Sweden
| | - Mårten Rosenqvist
- Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Danderyd, Sweden
| | - Emma Svennberg
- Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, SE-141 86 Stockholm, Stockholm, Sweden
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Uhe T, Keilitz J, Berrouschot J, Wachter R. Age-Dependent Detection of Atrial Fibrillation with Implantable Cardiac Monitors in Patients with Cryptogenic Stroke. TH OPEN 2024; 8:e202-e208. [PMID: 38633729 PMCID: PMC11023710 DOI: 10.1055/s-0044-1786015] [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: 01/18/2024] [Accepted: 03/11/2024] [Indexed: 04/19/2024] Open
Abstract
Background Continuous monitoring using implantable cardiac monitors (ICMs) results in atrial fibrillation (AF) detection rates of up to 30% in patients with cryptogenic stroke (CS). Although higher age is an independent risk factor for AF, there are no age-specific recommendations for the implantation of ICM. Objective The aim of this study was to analyze age-related AF rates in patients with CS and continuous rhythm monitoring, to determine the rates of oral anticoagulation (OAC) and recurrent cerebrovascular events (stroke or transient ischemic attack) in patients with ICM-detected AF, and to describe the temporal relationship of AF detection and recurrent cerebrovascular events. Methods In this observational study, patients with CS provided with ICMs were systematically followed. All patients underwent 72-hour electrocardiography monitoring, transcranial Doppler ultrasound, and transthoracic echocardiography prior to ICM insertion. Follow-up included a regular outpatient presentation every 3 months with medical history, physical examination, and interrogation of the ICM. Results One-hundred eighty-six patients (mean age: 65 ± 12 years, 54% female) were included in this analysis. AF was detected in 6, 27, 56, and 65% ( p < 0.001) of patients aged less than 60, 60 to 69, 70 to 79, and more than or equal to 80 years, respectively. All patients with AF under 60 years had an impaired left ventricular systolic function. OAC was initiated in 85% of the patients with AF. Recurrent cerebrovascular events occurred in 34 patients of whom 14 had a diagnosis of AF. In nine patients, AF was diagnosed before the occurrence of a recurrent cerebrovascular event. Conclusion AF prevalence increased with age and was absent in CS patients younger than 60 years and with preserved left ventricular ejection fraction. The temporal relationship of AF and recurrent cerebrovascular events was weak.
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Affiliation(s)
- Tobias Uhe
- Klinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Janina Keilitz
- Klinik für Neurologie, Klinikum Altenburger Land, Altenburg, Germany
| | - Jörg Berrouschot
- Klinik für Neurologie, Klinikum Altenburger Land, Altenburg, Germany
| | - Rolf Wachter
- Klinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Leipzig, Germany
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Bernstein RA, Kamel H, Granger CB, Piccini JP, Katz JM, Sethi PP, Pouliot E, Franco N, Ziegler PD, Schwamm LH. Atrial Fibrillation In Patients With Stroke Attributed to Large- or Small-Vessel Disease: 3-Year Results From the STROKE AF Randomized Clinical Trial. JAMA Neurol 2023; 80:1277-1283. [PMID: 37902733 PMCID: PMC10616765 DOI: 10.1001/jamaneurol.2023.3931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/03/2023] [Indexed: 10/31/2023]
Abstract
Importance The STROKE AF study found that in patients with prior ischemic stroke attributed to large-artery atherosclerotic disease (LAD) or small-vessel occlusive disease (SVD), 12% developed AF over 1 year when monitored with an insertable cardiac monitor (ICM). The occurrence over subsequent years is unknown. Objectives To compare the rates of AF detection through 3 years of follow-up between an ICM vs site-specific usual care in patients with prior ischemic stroke attributed to LAD or SVD. Design, Setting, and Participants This multicenter, randomized (1:1) clinical trial took place at 33 sites in the US with enrollment between April 2016 and July 2019 and 3-year follow-up through July 2022. Eligible patients were aged 60 years or older, or aged 50 to 59 years with at least 1 additional stroke risk factor and had an index ischemic stroke attributed to LAD or SVD within 10 days prior to ICM insertion. Of the 496 patients enrolled, 492 were randomized and 4 were excluded. Interventions ICM monitoring vs site-specific usual care. Main Outcomes and Measures The prespecified long-term outcome of the trial was AF detection through study follow-up (up to 3 years). AF was defined as an episode lasting more than 30 seconds, adjudicated by an expert committee. Results In total, 492 patients were randomized and included in the analyses (median [IQR] age, 66 [60-74] years; 307 men [62.4%] and 185 women [37.6%]), of whom 314 completed 3-year follow-up (63.8%). The incidence rate of AF at 3 years was 21.7% (46 patients) in the ICM group vs 2.4% (5 patients) in the control group (hazard ratio, 10.0; 95% CI, 4.0-25.2; P < .001). Conclusions and Relevance Patients with ischemic stroke attributed to LAD or SVD face an increasing risk of AF over time and most of the AF occurrences are not reliably detected by standard medical monitoring methods. One year of negative monitoring should not reassure clinicians that patients who have experienced stroke will not develop AF over the next 2 years. Trial Registration ClinicalTrials.gov Identifier: NCT02700945.
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Affiliation(s)
- Richard A. Bernstein
- Davee Department of Neurology, Feinberg School of Medicine of Northwestern University, Chicago, Illinois
| | - Hooman Kamel
- Department of Neurology, Weill Cornell Medicine, New York, New York
- Deputy Editor, JAMA Neurology
| | - Christopher B. Granger
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Jonathan P. Piccini
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Jeffrey M. Katz
- Department of Neurology and Radiology, North Shore University Hospital, Manhasset, New York
| | - Pramod P. Sethi
- Guilford Neurology Associates, Moses H. Cone Hospital, Greensboro, North Carolina
| | - Erika Pouliot
- Cardiac Rhythm Management, Clinical Department, Medtronic, Minneapolis, Minnesota
| | - Noreli Franco
- Cardiac Rhythm Management, Clinical Department, Medtronic, Minneapolis, Minnesota
| | - Paul D. Ziegler
- Cardiac Rhythm Management, Research Department, Medtronic, Minneapolis, Minnesota
| | - Lee H. Schwamm
- Department of Digital Strategy and Transformation, Yale School of Medicine, New Haven, Connecticut
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Schwamm LH, Kamel H, Granger CB, Piccini JP, Katz JM, Sethi PP, Sidorov EV, Kasner SE, Silverman SB, Merriam TT, Franco N, Ziegler PD, Bernstein RA, Abi-Samra F, Acosta I, Al Balushi A, Al-Awwad A, Alimohammad R, Alkahalifah M, Allred J, Alsorogi M, Arias V, Aroor S, Arora R, Asdaghi N, Asi K, Assar M, Badhwar N, Banchs J, Bansal S, Barrett C, Beaver B, Beldner S, Belt G, Bernabei M, Bernard M, Bhatt N, Black J, Bledsoe D, Bonaguidi H, Bonyak K, Boyd C, Cajavilca C, Caprio F, Carter J, Chancellor B, Chang C, Chaudhary G, Chaudhary S, Cheung P, Ching M, Chinitz L, Chiu D, Chokhawala H, Choudhuri I, Choudry S, Clayton S, Cross J, Cucchiara B, Culpepper A, Daniels J, Dash S, Del Brutto V, Deline C, Delpirou Nouh C, Deo R, Dhamoon M, Dillon G, Donsky A, Doshi A, Downey A, Dukkipati S, Epstein L, Etherton M, Fara M, Fayad PB, Felberg R, Flaster M, Frankel D, Furer S, Gadhia R, Gadient P, Garabelli P, Gibson D, Glotzer T, Goltz D, Gordon D, Graner S, Graybeal D, Grimes MR, Guerrero W, Hanna J, Hao Q, Hasabnis S, Hasan R, Heist EK, Horowitz D, Hourihane JM, Hussein H, Ishida K, Ismail H, Jadonath R, Jamal S, Jamnadas P, Jia J, Johnson M, Jung R, Kalafut M, Kalia J, Kandel A, Kasner S, Katz L, Katz J, Kaur G, Kearney M, Khatib S, Kim S, Kim C, Kipta J, Koch S, Koruth J, Kreger H, Krueger K, Kurian C, LaFranchise E, Lambrakos L, Langan MN, Lee R, Libman R, Lillemoe K, Logan W, Lord A, Lubitz S, Luciano J, Lynch J, Maccaro PC, Magadan A, Magun R, Malik M, Malik A, Manda S, Marulanda-Londono E, Matos Diaz I, Mattera B, McCall-Brown A, Mcclelland N, Meisel K, Memon Z, Mendelson S, Mendoza I, Merriam T, Messe S, Miles WM, Miller M, Mir O, Mitrani R, Morin D, Morris K, Moussavi M, Mowla A, Moye S, Mullen M, Mullins S, Neisen K, Nguyen C, Niazi I, Olson N, Olsovsky G, Ortiz G, Ostrander M, Pakala A, Parker B, Parker M, Passman R, Patel A, Patel A, Pickett RA(D, Polin G, Radoslovich G, Ramano J, Rami T, Ramirez D, Rasmussen J, Ray B, Reddy V, Reddy R, Reeves R, Regenhardt R, Rempe D, Rogers P, Rogers J, Rowe S, Rowley C, Ruff I, Sackett M, Sajjad R, Salem R, Saltzman M, Santangeli P, Saucedo S, Sawyer R, Schaller R, Seeger S, Sethi P, Shang T, Sharma J, Sharma R, Sheinart K, Shukla G, Shultz J, Sidorov E, Silverman S, Simonson J, Singh D, Skalabrin E, Sloane K, Smith M, Smith W, Soik D, Stavrakis S, Stein L, Steinberg JS, Sur N, Switzer D, Talpur N, Tansy A, Tempro K, Thavapalan V, Thomas A, Thomas K, Torres J, Torres L, Tuhrim S, Uddin P, Vidal G, Viswanathan A, Volpi J, Ward K, Weinberger J, Whang W, Wilder M, Willner J, Wright P, Yuan Q, Zhang C, Zhu D, Zide K, Zimmerman J, Zweifler R. Predictors of Atrial Fibrillation in Patients With Stroke Attributed to Large- or Small-Vessel Disease: A Prespecified Secondary Analysis of the STROKE AF Randomized Clinical Trial. JAMA Neurol 2023; 80:99-103. [PMID: 36374508 PMCID: PMC9664367 DOI: 10.1001/jamaneurol.2022.4038] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Importance The Stroke of Known Cause and Underlying Atrial Fibrillation (STROKE AF) trial found that approximately 1 in 8 patients with recent ischemic stroke attributed to large- or small-vessel disease had poststroke atrial fibrillation (AF) detected by an insertable cardiac monitor (ICM) at 12 months. Identifying predictors of AF could be useful when considering an ICM in routine poststroke clinical care. Objective To determine the association between commonly assessed risk factors and poststroke detection of new AF in the STROKE AF cohort monitored by ICM. Design, Setting, and Participants This was a prespecified analysis of a randomized (1:1) clinical trial that enrolled patients between April 1, 2016, and July 12, 2019, with primary follow-up through 2020 and mean (SD) duration of 11.0 (3.0) months. Eligible patients were selected from 33 clinical research sites in the US. Patients had an index stroke attributed to large- or small-vessel disease and were 60 years or older or aged 50 to 59 years with at least 1 additional stroke risk factor. A total of 496 patients were enrolled, and 492 were randomly assigned to study groups (3 did not meet inclusion criteria, and 1 withdrew consent). Patients in the ICM group had the index stroke within 10 days before insertion. Data were analyzed from October 8, 2021, to January 28, 2022. Interventions ICM monitoring vs site-specific usual care (short-duration external cardiac monitoring). Main Outcomes and Measures The ICM device automatically detects AF episodes 2 or more minutes in length; episodes were adjudicated by an expert committee. Cox regression multivariable modeling included all parameters identified in the univariate analysis having P values <.10. AF detection rates were calculated using Kaplan-Meier survival estimates. Results The analysis included the 242 participants randomly assigned to the ICM group in the STROKE AF study. Among 242 patients monitored with ICM, 27 developed AF (mean [SD] age, 66.6 [9.3] years; 144 men [60.0%]; 96 [40.0%] women). Two patients had missing baseline data and exited the study early. Univariate predictors of AF detection included age (per 1-year increments: hazard ratio [HR], 1.05; 95% CI, 1.01-1.09; P = .02), CHA2DS2-VASc score (per point: HR, 1.54; 95% CI, 1.15-2.06; P = .004), chronic obstructive pulmonary disease (HR, 2.49; 95% CI, 0.86-7.20; P = .09), congestive heart failure (CHF; with preserved or reduced ejection fraction: HR, 6.64; 95% CI, 2.29-19.24; P < .001), left atrial enlargement (LAE; HR, 3.63; 95% CI, 1.55-8.47; P = .003), QRS duration (HR, 1.02; 95% CI, 1.00-1.04; P = .04), and kidney dysfunction (HR, 3.58; 95% CI, 1.35-9.46; P = .01). In multivariable modeling (n = 197), only CHF (HR, 5.06; 95% CI, 1.45-17.64; P = .05) and LAE (HR, 3.32; 1.34-8.19; P = .009) remained significant predictors of AF. At 12 months, patients with CHF and/or LAE (40 of 142 patients) had an AF detection rate of 23.4% vs 5.0% for patients with neither (HR, 5.1; 95% CI, 2.0-12.8; P < .001). Conclusions and Relevance Among patients with ischemic stroke attributed to large- or small-vessel disease, CHF and LAE were associated with a significantly increased risk of poststroke AF detection. These patients may benefit most from the use of ICMs as part of a secondary stroke prevention strategy. However, the study was not powered for clinical predictors of AF, and therefore, other clinical characteristics may not have reached statistical significance. Trial Registration ClinicalTrials.gov Identifier: NCT02700945.
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Affiliation(s)
- Lee H. Schwamm
- Department of Neurology, Massachusetts General Hospital, Boston
| | - Hooman Kamel
- Department of Neurology, Weill Cornell Medicine, New York, New York,Deputy Editor, JAMA Neurology
| | - Christopher B. Granger
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Jonathan P. Piccini
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Jeffrey M. Katz
- Department of Neurology and Radiology, North Shore University Hospital, Manhasset, New York
| | - Pramod P. Sethi
- Guilford Neurology Associates, Moses H. Cone Hospital, Greensboro, North Carolina
| | - Evgeny V. Sidorov
- Department of Neurology, The University of Oklahoma Health Sciences Center, Oklahoma City
| | - Scott E. Kasner
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | | | | | - Noreli Franco
- Clinical Department, Medtronic, Minneapolis, Minnesota
| | | | - Richard A. Bernstein
- Davee Department of Neurology, Feinberg School of Medicine of Northwestern University, Chicago, Illinois
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Aggarwal G, Aggarwal S, Alla V, Narasimhan B, Ryu K, Jeffery C, Lakkireddy D. Subcutaneouscardiac Rhythm Monitors: A Comprehensive Review. J Atr Fibrillation 2021; 13:2387. [PMID: 34950332 DOI: 10.4022/jafib.2387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 08/15/2020] [Accepted: 01/08/2021] [Indexed: 01/14/2023]
Abstract
Subcutaneous loop recorders (SCRMs) are subcutaneous electronic devices which have revolutionized the field of arrhythmia detection. They have become increasingly appealing due to advances such as miniaturization of device, longer battery life, bluetooth capabilities and relatively simple implantation technique without the need for complex surgical suites. They can be implanted in the office, patient bedside without the need to go to the operating room. One of the most common indications for their implantation is detection of atrial fibrillation (AF) after a cryptogenic stroke. They have also been utilized for assessing the success of rhythm control strategies such post pulmonary venous isolation. More recently studies have assessed the utility of SCRMs for detecting silent AF in at risk populations such as patients with sleep apnea or those on hemodialysis. In this paper, we review the evolution of SCRMs, the clinical studies assessing their value for different indications, their role incurrent clinical practice and future avenues in the era of smart wearable devices like apple watch etc.
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Affiliation(s)
- Gaurav Aggarwal
- Department of Medicine, Jersey City Medical Center, Jersey City, NJ
| | | | - Venkata Alla
- Division of Cardiology, Department of Medicine, Creighton University School of Medicine, Omaha, NE
| | - Bharat Narasimhan
- Department of Medicine, St Luke's Roosevelt Hospital at Icahn School of Medicine, New York, NY
| | | | - Courtney Jeffery
- The Kansas City Heart Rhythm Institution and Research Foundation, Overland Park, KS
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Bernstein RA, Kamel H, Granger CB, Piccini JP, Sethi PP, Katz JM, Vives CA, Ziegler PD, Franco NC, Schwamm LH. Effect of Long-term Continuous Cardiac Monitoring vs Usual Care on Detection of Atrial Fibrillation in Patients With Stroke Attributed to Large- or Small-Vessel Disease: The STROKE-AF Randomized Clinical Trial. JAMA 2021; 325:2169-2177. [PMID: 34061145 PMCID: PMC8170544 DOI: 10.1001/jama.2021.6470] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
IMPORTANCE Patients with ischemic stroke attributed to large- or small-vessel disease are not considered at high risk for atrial fibrillation (AF), and the AF incidence rate in this population is unknown. OBJECTIVES To determine whether long-term cardiac monitoring is more effective than usual care for AF detection in patients with stroke attributed to large- or small-vessel disease through 12 months of follow-up. DESIGN, SETTING, AND PARTICIPANTS The STROKE-AF trial was a randomized (1:1), multicenter (33 sites in the US) clinical trial that enrolled 496 patients between April 2016 and July 2019, with primary end point follow-up through August 2020. Eligible patients were aged 60 years or older or aged 50 to 59 years with at least 1 additional stroke risk factor and had an index stroke attributed to large- or small-vessel disease within 10 days prior to insertable cardiac monitor (ICM) insertion. INTERVENTIONS Patients randomized to the intervention group (n = 242) received ICM insertion within 10 days of the index stroke; patients in the control group (n = 250) received site-specific usual care consisting of external cardiac monitoring, such as 12-lead electrocardiograms, Holter monitoring, telemetry, or event recorders. MAIN OUTCOMES AND MEASURES Incident AF lasting more than 30 seconds through 12 months. RESULTS Among 492 patients who were randomized (mean [SD] age, 67.1 [9.4] years; 185 [37.6%] women), 417 (84.8%) completed 12 months of follow-up. The median (interquartile range) CHA2DS2-VASc (congestive heart failure, hypertension, age ≥75 years, diabetes mellitus, stroke or transient ischemic attack, vascular disease, age 65 to 74 years, sex category) score was 5 (4-6). AF detection at 12 months was significantly higher in the ICM group vs the control group (27 patients [12.1%] vs 4 patients [1.8%]; hazard ratio, 7.4 [95% CI, 2.6-21.3]; P < .001). Among the 221 patients in the ICM group who received an ICM, 4 (1.8%) had ICM procedure-related adverse events (1 site infection, 2 incision site hemorrhages, and 1 implant site pain). CONCLUSIONS AND RELEVANCE Among patients with stroke attributed to large- or small-vessel disease, monitoring with an ICM compared with usual care detected significantly more AF over 12 months. However, further research is needed to understand whether identifying AF in these patients is of clinical importance. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02700945.
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Affiliation(s)
- Richard A. Bernstein
- Davee Department of Neurology, Feinberg School of Medicine of Northwestern University, Chicago, Illinois
| | - Hooman Kamel
- Department of Neurology, Weill Cornell Medicine, New York, New York
| | - Christopher B. Granger
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Jonathan P. Piccini
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Pramod P. Sethi
- Cone Health Stroke Center, Greensboro, North Carolina
- Guilford Neurologic Research Associates, Greensboro, North Carolina
| | - Jeffrey M. Katz
- Department of Neurology, North Shore University Hospital, Manhasset, New York
- Department of Radiology, North Shore University Hospital, Manhasset, New York
| | | | - Paul D. Ziegler
- Cardiac Rhythm and Heart Failure, Medtronic Inc, Minneapolis, Minnesota
| | - Noreli C. Franco
- Cardiac Rhythm and Heart Failure, Medtronic Inc, Minneapolis, Minnesota
| | - Lee H. Schwamm
- Department of Neurology, Massachusetts General Hospital, Boston
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Khurshid S, Li X, Ashburner JM, Lipsanopoulos ATT, Lee PR, Lin AK, Ko D, Ellinor PT, Schwamm LH, Benjamin EJ, Atlas SJ, Singer DE, Anderson CD, Trinquart L, Lubitz SA. Usefulness of Rhythm Monitoring Following Acute Ischemic Stroke. Am J Cardiol 2021; 147:44-51. [PMID: 33617814 DOI: 10.1016/j.amjcard.2021.01.038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 01/22/2021] [Accepted: 01/26/2021] [Indexed: 12/27/2022]
Abstract
We characterized monitor utilization in stroke survivors and assessed associations with underlying clinical atrial fibrillation (AF) risk. We retrospectively analyzed consecutive patients with acute ischemic stroke 10/2018-6/2019 without prevalent AF and assessed the 6-month incidence of monitor utilization (Holter/ECG, event/patch, implantable loop recorder [ILR]) using Fine-Gray models accounting for the competing risk of death. We assessed for predictors of monitor utilization using cause-specific hazards regression adjusted for the Cohorts for Heart and Aging Research in Genomic Epidemiology AF (CHARGE-AF) score, stroke subtype, and discharge disposition. Of 493 patients with acute ischemic stroke (age 65±16; 47% women), the 6-month incidence of monitor utilization was 36.5% (95% CI 31.7, 41.3), and 6-month mortality was 13.6% (10.4, 16.8). Monitoring was performed with Holter/event (n = 107; 72.3%), ILR (n = 34; 23.0%) or both (n = 7; 4.7%). Monitoring was more likely after cryptogenic (hazard ratio [HR] 4.53 [3.22, 6.39]; 6-month monitor incidence 70.6%) and cardioembolic (HR 2.43 [1.28, 4.62]; incidence 47.7%) stroke, versus other/undocumented (incidence 22.7%). Among patients with cryptogenic stroke, the 6-month incidence of ILR was 27.5% [18.5, 36.5]. Monitoring was more likely after discharge home (HR 1.80 [1.29, 2.52]; incidence 46.1%) versus facility (incidence 24.9%). Monitoring was not associated with CHARGE-AF score (HR 1.08 per 1-SD increase [0.91, 1.27]), even though CHARGE-AF was associated with incident AF (HR 1.56 [1.03, 2.35]). In conclusion, rhythm monitors are utilized after one-third of ischemic strokes. Monitoring is more frequent after cryptogenic strokes, though ILR use is low. Monitor utilization is not associated with AF risk.
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Lyckhage LF, Hansen ML, Butt JH, Hilmar Gislason G, Gundlund A, Wienecke T. Time trends and patient selection in the use of continuous electrocardiography for detecting atrial fibrillation after stroke: a nationwide cohort study. Eur J Neurol 2020; 27:2191-2201. [PMID: 32593218 DOI: 10.1111/ene.14418] [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: 05/26/2020] [Accepted: 06/22/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE Clinical use of continuous electrocardiography (cECG) for detecting atrial fibrillation (AF) after stroke is unclear. In a Danish nationwide cohort, we described post-stroke time trends in outpatient cECG usage and AF incidence and characterized factors associated with cECG use. METHODS Patients without AF discharged after their first ischaemic stroke between 2010 and 2016 were identified from Danish nationwide registries. cECG included Holter or event recording within 120 days from discharge. Cumulative incidence analysis and multivariable adjusted logistic regression were used to assess time trends and factors associated with cECG usage and AF. RESULTS The study population comprised 39 641 patients. Cumulative use of cECG increased threefold from 3.3% [95% confidence intervals (CI), 2.8-3.8] in 2010 to 10.5% (95% CI, 9.7-11.3) in 2016. Correspondingly, cumulative incidence of post-stroke AF increased from 1.9% (95% CI, 1.5-2.3) to 2.8% (95% CI, 2.4-3.2). Of all cECG-evaluated patients, 6.3% received an AF diagnosis versus 2.2% of the unevaluated. Receiving cECG was associated with increased odds of AF (odds ratio, 3.4; 95% CI, 2.8-4.0). Lower age, milder strokes and less comorbidity were associated with increased odds of receiving cECG. In contrast, risk factors for AF were increasing age and more comorbidity. CONCLUSIONS Post-stroke outpatient cECG use and AF incidence have increased over time, but screening rates were low. cECG use was associated with tripled odds of detecting AF. There was a disparity between factors associated with cECG use and risk factors of AF. This raise questions as to the appropriateness of the current clinical approach to post-stoke AF detection.
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Affiliation(s)
- L F Lyckhage
- Department of Neurology, Zealand University Hospital, Roskilde, Denmark.,The Cardiovascular Research Centre, Copenhagen University Hospital, Gentofte, Denmark
| | - M L Hansen
- The Cardiovascular Research Centre, Copenhagen University Hospital, Gentofte, Denmark.,Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Hellerup, Denmark
| | - J H Butt
- The Cardiovascular Research Centre, Copenhagen University Hospital, Gentofte, Denmark
| | - G Hilmar Gislason
- The Cardiovascular Research Centre, Copenhagen University Hospital, Gentofte, Denmark.,Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Hellerup, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,The Danish Heart Foundation, Copenhagen, Denmark
| | - A Gundlund
- The Cardiovascular Research Centre, Copenhagen University Hospital, Gentofte, Denmark
| | - T Wienecke
- Department of Neurology, Zealand University Hospital, Roskilde, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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9
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Noseworthy PA, Kaufman ES, Chen LY, Chung MK, Elkind MSV, Joglar JA, Leal MA, McCabe PJ, Pokorney SD, Yao X. Subclinical and Device-Detected Atrial Fibrillation: Pondering the Knowledge Gap: A Scientific Statement From the American Heart Association. Circulation 2019; 140:e944-e963. [PMID: 31694402 DOI: 10.1161/cir.0000000000000740] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The widespread use of cardiac implantable electronic devices and wearable monitors has led to the detection of subclinical atrial fibrillation in a substantial proportion of patients. There is evidence that these asymptomatic arrhythmias are associated with increased risk of stroke. Thus, detection of subclinical atrial fibrillation may offer an opportunity to reduce stroke risk by initiating anticoagulation. However, it is unknown whether long-term anticoagulation is warranted and in what populations. This scientific statement explores the existing data on the prevalence, clinical significance, and management of subclinical atrial fibrillation and identifies current gaps in knowledge and areas of controversy and consensus.
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10
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Sanna T. Long-term monitoring to detect atrial fibrillation with the indwelling implantable cardiac monitors. Int J Stroke 2018; 13:893-904. [PMID: 30091680 DOI: 10.1177/1747493018790023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
An increasing number of detection tools are available and several detection strategies have been described to pursue the diagnosis of atrial fibrillation to prevent ischemic stroke. Monitoring tools include standard electrocardiography, snapshot single-lead recordings with professional or personal devices (e.g. smartphone-based), Holter monitor, external devices with long-term recording capabilities, and cardiac implantable electronic devices, including pacemakers, implantable cardioverter defibrillators and insertable cardiac monitors. Insertable cardiac monitors have shown high sensitivity and specificity for the detection of atrial fibrillation, allow up to three years of continuous monitoring, do not require cooperation of the patient, are well tolerated, have a short device-related time delay between detection of atrial fibrillation and notification to the physician, provide information on atrial fibrillation burden and are minimally invasive. On the other hand, insertable cardiac monitors require a considerable use of resources to process the recordings and have a significant initial cost. Studies conducted with insertable cardiac monitors on patients with prior stroke and on patients with risk factors for stroke but no prior cerebrovascular events or atrial fibrillation have consistently shown a measurable incidence of atrial fibrillation at follow-up. However, the effectiveness of oral anticoagulations in reducing the incidence of ischemic stroke in patients with atrial fibrillation lasting less than 24 h, though reasonable, is currently unproven. The future of atrial fibrillation detection tools and atrial fibrillation detection strategies will be influenced by ongoing studies exploring whether oral anticoagulations reduce the incidence of stroke in patients with atrial fibrillation burden lower than 24 h.
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11
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Katz JM, Eng MS, Carrazco C, Patel AV, Jadonath R, Gribko M, Arora R, Libman RB. Occult paroxysmal atrial fibrillation in non-cryptogenic ischemic stroke. J Neurol 2018; 265:2237-2242. [PMID: 30043320 DOI: 10.1007/s00415-018-8982-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 07/17/2018] [Accepted: 07/19/2018] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To determine the prevalence and risk factors for paroxysmal atrial fibrillation (PAF) diagnosis in non- cryptogenic ischemic stroke (CIS) patients. METHODS In this pilot-prospective cohort study of non-CIS patients from September 2014 to September 2017, 53 patients were enrolled. 51/53 patients were implanted within 10 days of stroke onset with the Reveal LINQ insertable cardiac monitor and monitored until PAF detection or a minimum of 12 months. Inclusion required diagnosis of a non-AF stroke etiology, age ≥ 40, and either a virtual CHADS2 score ≥ 3 or ≥ 2 PAF-related comorbidities. RESULTS Over a median monitoring period of 398 days, PAF was detected in 6/51 (11.8%) patients and anticoagulation was initiated in 5/6 (83.3%). Median time to PAF detection was 87 days (range 0-356 days). Median longest PAF episode was 96 min (range 1 to 1122 min), and 4/6 had multiple PAF recordings. Mean left atrial volume index was significantly higher in PAF patients (31.0 vs. 23.2 cc/m2; p = 0.04). CONCLUSION Long-term monitoring of non-CIS patients detected PAF in a clinically relevant proportion of patients, resulting in stroke prevention therapy optimization. Further study to confirm these findings and refine the subset that would benefit from long-term cardiac monitoring is warranted.
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Affiliation(s)
- Jeffrey M Katz
- Departments of Neurology, North Shore University Hospital, 300 Community Drive, Manhasset, NY, USA. .,Departments of Radiology, North Shore University Hospital, 300 Community Drive, Manhasset, NY, USA. .,Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
| | - Melissa S Eng
- Feinstein Institute for Medical Research, 300 Community Drive, Manhasset, NY, USA
| | - Claire Carrazco
- Departments of Neurology, North Shore University Hospital, 300 Community Drive, Manhasset, NY, USA
| | - Anand V Patel
- Departments of Neurology, North Shore University Hospital, 300 Community Drive, Manhasset, NY, USA.,Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Ram Jadonath
- Departments of Cardiology, North Shore University Hospital, 300 Community Drive, Manhasset, NY, USA.,Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Michele Gribko
- Departments of Neurology, North Shore University Hospital, 300 Community Drive, Manhasset, NY, USA
| | - Rohan Arora
- Departments of Neurology, North Shore University Hospital, 300 Community Drive, Manhasset, NY, USA.,Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Richard B Libman
- Departments of Neurology, North Shore University Hospital, 300 Community Drive, Manhasset, NY, USA.,Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
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12
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Thijs V. Atrial Fibrillation Detection: Fishing for An Irregular Heartbeat Before and After Stroke. Stroke 2017; 48:2671-2677. [PMID: 28916671 DOI: 10.1161/strokeaha.117.017083] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 07/14/2017] [Accepted: 07/18/2017] [Indexed: 12/12/2022]
Affiliation(s)
- Vincent Thijs
- From the Stroke Division, Florey Institute of Neuroscience and Mental Health, University of Melbourne, and Department of Neurology, Austin Health, Heidelberg, Victoria, Australia.
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