Duration of Implantable Cardiac Monitoring and Detection of Atrial Fibrillation in Ischemic Stroke Patients: A Systematic Review and Meta-Analysis.

Atrial fibrillation Meta-analysis Monitoring Stroke

Journal

Journal of stroke
ISSN: 2287-6391
Titre abrégé: J Stroke
Pays: Korea (South)
ID NLM: 101602023

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 05 05 2019
accepted: 14 06 2019
entrez: 9 10 2019
pubmed: 9 10 2019
medline: 9 10 2019
Statut: ppublish

Résumé

Current guidelines do not provide firm directions on atrial fibrillation (AF) screening after ischemic stroke (IS). We sought to investigate the association of implantable cardiac monitoring (ICM) duration with the yield of AF detection in IS patients. We included studies reporting AF detection rates by ICM in IS patients with negative initial AF screening. We excluded studies reporting prolonged cardiac monitoring with devices other than ICM, not providing AF detection rates or monitoring duration, and reporting overlapping data for the same population. The random-effects model was used for all pooled estimates and meta-regression analyses. We included 28 studies (4,531 patients, mean age 65 years). In meta-regression analyses, the proportion of AF detection by ICM was independently associated with monitoring duration (coefficient=0.015; 95% confidence interval [CI], 0.005 to 0.024) and mean patient age (coefficient=0.009; 95% CI, 0.003 to 0.015). No associations were detected with other patient characteristics, including IS subtype (cryptogenic vs. embolic stroke of undetermined source) or time from IS onset to CM implantation. In subgroup analyses, significant differences (P<0.001) in the AF detection rates were found for ICM duration (<6 months: 5% [95% CI, 3% to 6%]; ≥6 and ≤12 months: 21% [95% CI, 16% to 25%]; >12 and ≤24 months: 26% [95% CI, 22% to 31%]; >24 months: 34% [95% CI, 29% to 39%]). s Extended duration of ICM monitoring and increased patient age are factors that substantially increase AF detection in IS patients with initial negative AF screening.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
Current guidelines do not provide firm directions on atrial fibrillation (AF) screening after ischemic stroke (IS). We sought to investigate the association of implantable cardiac monitoring (ICM) duration with the yield of AF detection in IS patients.
METHODS METHODS
We included studies reporting AF detection rates by ICM in IS patients with negative initial AF screening. We excluded studies reporting prolonged cardiac monitoring with devices other than ICM, not providing AF detection rates or monitoring duration, and reporting overlapping data for the same population. The random-effects model was used for all pooled estimates and meta-regression analyses.
RESULTS RESULTS
We included 28 studies (4,531 patients, mean age 65 years). In meta-regression analyses, the proportion of AF detection by ICM was independently associated with monitoring duration (coefficient=0.015; 95% confidence interval [CI], 0.005 to 0.024) and mean patient age (coefficient=0.009; 95% CI, 0.003 to 0.015). No associations were detected with other patient characteristics, including IS subtype (cryptogenic vs. embolic stroke of undetermined source) or time from IS onset to CM implantation. In subgroup analyses, significant differences (P<0.001) in the AF detection rates were found for ICM duration (<6 months: 5% [95% CI, 3% to 6%]; ≥6 and ≤12 months: 21% [95% CI, 16% to 25%]; >12 and ≤24 months: 26% [95% CI, 22% to 31%]; >24 months: 34% [95% CI, 29% to 39%]).
CONCLUSION CONCLUSIONS
s Extended duration of ICM monitoring and increased patient age are factors that substantially increase AF detection in IS patients with initial negative AF screening.

Identifiants

pubmed: 31590474
pii: jos.2019.01067
doi: 10.5853/jos.2019.01067
pmc: PMC6780018
doi:

Types de publication

Journal Article

Langues

eng

Pagination

302-311

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Auteurs

Georgios Tsivgoulis (G)

Second Department of Neurology, Attikon Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA.

Aristeidis H Katsanos (AH)

Second Department of Neurology, Attikon Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Department of Neurology, University of Ioannina School of Medicine, Ioannina, Greece.

Martin Köhrmann (M)

Department of Neurology, Essen University Hospital, Essen, Germany.

Valeria Caso (V)

Stroke Unit, Division of Cardiovascular Medicine, University of Perugia, Perugia, Italy.

Fabienne Perren (F)

Department of Neurology, University Hospital of Geneva, Geneva, Switzerland.

Lina Palaiodimou (L)

Second Department of Neurology, Attikon Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.

Spyridon Deftereos (S)

Second Department of Cardiology, Attikon Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.

Sotirios Giannopoulos (S)

Department of Neurology, University of Ioannina School of Medicine, Ioannina, Greece.

John Ellul (J)

Department of Neurology, University Hospital of Patras, School of Medicine, University of Patras, Patras, Greece.

Christos Krogias (C)

Department of Neurology, St. Josef-Hospital, Ruhr University, Bochum, Germany.

Dimitris Mavridis (D)

Department of Primary Education, University of Ioannina, Ioannina, Greece.

Sokratis Triantafyllou (S)

Second Department of Neurology, Attikon Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.

Anne W Alexandrov (AW)

Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA.

Peter D Schellinger (PD)

Department of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany.

Andrei V Alexandrov (AV)

Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA.

Classifications MeSH