Preventing Recurrent Cardioembolic Stroke: Right Approach, Right Patient (PRECISE) Study Protocol.


Journal

Cerebrovascular diseases (Basel, Switzerland)
ISSN: 1421-9786
Titre abrégé: Cerebrovasc Dis
Pays: Switzerland
ID NLM: 9100851

Informations de publication

Date de publication:
2023
Historique:
received: 08 02 2022
accepted: 23 06 2022
medline: 26 4 2023
pubmed: 30 8 2022
entrez: 29 8 2022
Statut: ppublish

Résumé

Cardiac rhythm monitoring is performed to search for atrial fibrillation (AF) after ischaemic stroke or transient ischaemic attack (TIA). Prolonged cardiac rhythm monitoring increases AF detection but is challenging to implement in many healthcare settings and is not needed for all people after ischaemic stroke/TIA. We aimed to develop and validate a model that includes clinical, electrocardiogram (ECG), blood-based, and genetic biomarkers to identify people with a low probability of AF detection after ischaemic stroke or TIA. We will recruit 675 consenting participants who are aged over 18 years, who were admitted with ischaemic stroke or TIA in the 5 days prior, who are not known to have AF, and who would be suitable for anticoagulation if AF is found. We will collect baseline demographic and clinical data, a 12-lead ECG, and a venous blood sample for blood biomarkers (including midregional pro-atrial natriuretic peptide, MRproANP) and genetic data. We will perform up to 28 days of cardiac rhythm monitoring using an R-test or patch device to search for AF in all participants. The sample size of 675 participants is based on true sensitivity of 92.5%, null hypothesis sensitivity of 80%, 80% power, and 5% significance. The primary outcome is AF detection ≥30 s duration during 28 days of cardiac rhythm monitoring. Secondary outcomes are AF detection at 1-year, recurrent cardiovascular events, and mortality and will be identified by electronic linkage and telephone follow-up. The results will guide the development of a more personalized care pathway to search for AF after ischaemic stroke or TIA. This could help to reduce cardiac rhythm monitoring for people with a low probability of AF detection and allow more intensive cardiac monitoring to be focused on people who are more likely to have AF and benefit. Participants will be consented for their data to be used in future research studies, providing a rich resource for stroke and cardiovascular research communities.

Identifiants

pubmed: 36037797
pii: 000525918
doi: 10.1159/000525918
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

123-129

Informations de copyright

© 2022 The Author(s). Published by S. Karger AG, Basel.

Auteurs

Alan C Cameron (AC)

Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

Georgios Katsas (G)

Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

Markus Arnold (M)

Department of Neurology, University Hospital and University of Zurich, Zürich, Switzerland.

Kieran Docherty (K)

Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

Ross T Campbell (RT)

Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

David Murdoch (D)

Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

John D McClure (JD)

Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

Mira Katan (M)

University Hospital and University of Basel, Basel, Switzerland.

Gregory Y H Lip (GYH)

Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK.
Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.

Azmil H Abdul-Rahim (AH)

Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.

Jesse Dawson (J)

Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

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