Comprehensive Evaluation of Rhythm Monitoring Strategies in Screening for Atrial Fibrillation: Insights From Patients at Risk Monitored Long Term With an Implantable Loop Recorder.


Journal

Circulation
ISSN: 1524-4539
Titre abrégé: Circulation
Pays: United States
ID NLM: 0147763

Informations de publication

Date de publication:
12 05 2020
Historique:
pubmed: 3 3 2020
medline: 8 6 2021
entrez: 3 3 2020
Statut: ppublish

Résumé

Stroke is an increasing health problem worldwide. Atrial fibrillation (AF) is a major risk factor for stroke, and the attention given to AF screening is rising, as new monitoring technologies emerge. We aimed to evaluate the performance of a large panel of screening strategies and to assess population characteristics associated with diagnostic yield. Individuals with stroke risk factors but without AF were recruited from the general population to undergo screening with an implantable loop recorder. New-onset AF lasting ≥6 minutes was adjudicated by senior cardiologists. After continuous monitoring for >3 years, complete day-to-day heart rhythm data sets were reconstructed for every participant, including exact time of onset and termination of all AF episodes. Random sampling was applied to assess the sensitivity and negative predictive value of screening with various simulated screening strategies compared with the implantable loop recorder. The diagnostic yield across strategies and population subgroups was compared by use of nonparametric tests. The rhythm data sets comprised 590 participants enduring a total of 659 758 days of continuous monitoring and 20 110 AF episodes. In these data, a single 10-second ECG yielded a sensitivity (and negative predictive value) of 1.5% (66%) for AF detection, increasing to 8.3% (67%) for twice-daily 30-second ECGs during 14 days and to 11% (68%), 13% (68%), 15% (69%), 21% (70%), and 34% (74%) for a single 24-hour, 48-hour, 72-hour, 7-day, or 30-day continuous monitoring, respectively. AF detection further improved when subsequent screenings were performed or when the same monitoring duration was spread over several periods compared with a single period (eg, three 24-hour monitorings versus one 72-hour monitoring; In screening for AF among participants with stroke risk factors, the diagnostic yield increased with duration, dispersion, and number of screenings, although all strategies had low yield compared with the implantable loop recorder. The sensitivity was higher among participants who were older, were male, or had higher NT-proBNP. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02036450.

Sections du résumé

BACKGROUND
Stroke is an increasing health problem worldwide. Atrial fibrillation (AF) is a major risk factor for stroke, and the attention given to AF screening is rising, as new monitoring technologies emerge. We aimed to evaluate the performance of a large panel of screening strategies and to assess population characteristics associated with diagnostic yield.
METHODS
Individuals with stroke risk factors but without AF were recruited from the general population to undergo screening with an implantable loop recorder. New-onset AF lasting ≥6 minutes was adjudicated by senior cardiologists. After continuous monitoring for >3 years, complete day-to-day heart rhythm data sets were reconstructed for every participant, including exact time of onset and termination of all AF episodes. Random sampling was applied to assess the sensitivity and negative predictive value of screening with various simulated screening strategies compared with the implantable loop recorder. The diagnostic yield across strategies and population subgroups was compared by use of nonparametric tests.
RESULTS
The rhythm data sets comprised 590 participants enduring a total of 659 758 days of continuous monitoring and 20 110 AF episodes. In these data, a single 10-second ECG yielded a sensitivity (and negative predictive value) of 1.5% (66%) for AF detection, increasing to 8.3% (67%) for twice-daily 30-second ECGs during 14 days and to 11% (68%), 13% (68%), 15% (69%), 21% (70%), and 34% (74%) for a single 24-hour, 48-hour, 72-hour, 7-day, or 30-day continuous monitoring, respectively. AF detection further improved when subsequent screenings were performed or when the same monitoring duration was spread over several periods compared with a single period (eg, three 24-hour monitorings versus one 72-hour monitoring;
CONCLUSIONS
In screening for AF among participants with stroke risk factors, the diagnostic yield increased with duration, dispersion, and number of screenings, although all strategies had low yield compared with the implantable loop recorder. The sensitivity was higher among participants who were older, were male, or had higher NT-proBNP. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02036450.

Identifiants

pubmed: 32114796
doi: 10.1161/CIRCULATIONAHA.119.044407
doi:

Banques de données

ClinicalTrials.gov
['NCT02036450']

Types de publication

Comparative Study Journal Article Multicenter Study Randomized Controlled Trial Research Support, Non-U.S. Gov't Webcast

Langues

eng

Sous-ensembles de citation

IM

Pagination

1510-1522

Commentaires et corrections

Type : CommentIn

Auteurs

Søren Zöga Diederichsen (SZ)

Department of Cardiology, Rigshospitalet (S.Z.D., L.K., J.H.S.).

Ketil Jørgen Haugan (KJ)

Department of Cardiology, Zealand University Hospital Roskilde, Denmark (K.J.H.).

Christian Kronborg (C)

Department of Business and Economics, University of Southern Denmark, Odense (C.K.).

Claus Graff (C)

Department of Health Science and Technology, Aalborg University, Denmark (C.G.).

Søren Højberg (S)

Department of Cardiology, Bispebjerg Hospital (S.H.).

Lars Køber (L)

Department of Cardiology, Rigshospitalet (S.Z.D., L.K., J.H.S.).
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark (L.K., J.H.S.).

Derk Krieger (D)

University Hospital Zurich, University of Zurich, Switzerland (D.K.).
Stroke Unit, Mediclinic City Hospital, Dubai, United Arab Emirates (D.K.).

Anders Gaarsdal Holst (AG)

Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark (A.G.H., J.B.N., J.H.S.).

Jonas Bille Nielsen (JB)

Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark (A.G.H., J.B.N., J.H.S.).
Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (J.B.N.).

Axel Brandes (A)

Department of Cardiology, Odense University Hospital, Denmark (A.B.).
Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense (A.B.).

Jesper Hastrup Svendsen (JH)

Department of Cardiology, Rigshospitalet (S.Z.D., L.K., J.H.S.).
Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark (A.G.H., J.B.N., J.H.S.).
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark (L.K., J.H.S.).

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