NCT06589700

Brief Summary

Each year, 7.8 million people worldwide experience an ischemic stroke, often caused by atrial fibrillation (AF). AF is a major contributor to severe, disabling, and deadly strokes. About 20% to 30% of ischemic stroke patients have AF before their stroke. Of the remaining 70% to 80% without known arrhythmias, up to 24% are newly diagnosed with AF after intensive cardiac monitoring, totaling 1.3 to 1.5 million new AF cases detected after stroke globally each year. Oral anticoagulants (OACs) can reduce stroke risk related to AF by 64% and lead to milder strokes with lower disability and mortality. Neurologists use cardiac monitoring to detect AF in stroke patients. This study focuses on patients who have had an ischemic stroke and are newly diagnosed with AF. The goal is to understand how AF progresses over time. The investigators will track changes in AF severity and frequency, monitor biomarkers related to heart health, assess the size and function of the left atrium, and observe new risk factors like hypertension. Patients will be grouped based on their AF diagnosis method: ECG, a portable device recording heart activity for less than 7 days, or one recording for 7 to 30 days. The investigators hypothesize that AF burden will increase, new risk factors will emerge, biomarkers will rise, and the left atrium will worsen over time. Participants will be followed for up to 24 months with regular assessments. The study aims to provide insights into AF progression in stroke patients, potentially improving treatments and prevention strategies.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
24

participants targeted

Target at below P25 for not_applicable stroke

Timeline
17mo left

Started Oct 2025

Typical duration for not_applicable stroke

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress29%
Oct 2025Oct 2027

First Submitted

Initial submission to the registry

September 6, 2024

Completed
13 days until next milestone

First Posted

Study publicly available on registry

September 19, 2024

Completed
1.1 years until next milestone

Study Start

First participant enrolled

October 16, 2025

Completed
2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2027

Last Updated

May 7, 2026

Status Verified

October 1, 2025

Enrollment Period

2 years

First QC Date

September 6, 2024

Last Update Submit

May 3, 2026

Conditions

Keywords

Implantable Loop RecorderstrokeAtrial fibrillation

Outcome Measures

Primary Outcomes (2)

  • Progression of AF burden

    Difference in the total duration of AF during the first quartile of available follow-up compared to the last quartile of follow-up. We hypothesize that AF burden will progress at a different pace in different types of AF: KAF\>ECG-AF\>PCM-AFDAS. As a sensitivity analysis AF burden will be compared at the first and 12 months of follow-up.

    12-months

  • Total AF burden

    Total AF burden We will compare different measures of AF burden between the 3 types of AF: (1) Total AF burden at 3, 6, and 12 months post-ILR insertion (sum of the duration of all AF episodes, HH:MM:SS), (2) Maximum duration of the longest AF episode, (3) Relative AF burden (total AF burden/net monitoring time), (4) AF Pattern (number of AF episodes and time of occurrence), (5) Time to first AF diagnosis (DD:HH), and (6) Other ECG monitoring findings (premature atrial complexes, interatrial block, etc.). Characterizing these measures will allow us to choose the best AF burden definition for a larger RCT. We hypothesize that the burden of AF will be different across types of AF: KAF\>ECG-AF\>PCM-AFDAS.

    12-months

Secondary Outcomes (4)

  • Progression of biomarkers

    12-months

  • Progression in the number of diagnosed risk factors

    12-months

  • Slow left atrial appendage flow and/or thrombus on follow-up CT Heart

    12-months

  • Left atrial size

    12-months

Study Arms (1)

Participants with AF Detected After Stroke

EXPERIMENTAL

Participants with AF detected after stroke undergo implantation of an insertable cardiac monitor (loop recorder) for continuous cardiac rhythm monitoring to detect and characterize atrial fibrillation burden, biomarkers, and left atrial characteristics over time.

Device: Implantable Loop Recorder

Interventions

Patients will be implanted with a loop recorder.

Participants with AF Detected After Stroke

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Adult patients with cortical or subcortical, cryptogenic or non-cryptogenic acute ischemic stroke
  • Any of the following types of AF:
  • Paroxysmal AF known before stroke onset (KAF).
  • Paroxysmal AF found on an admission or Emergency Department ECG (ECG-AFDAS)
  • Paroxysmal AF found on 14-day Holter monitoring (PCM-AFDAS)

You may not qualify if:

  • Patients not willing to consent
  • Permanent or persistent AF
  • Allergy to iodinated contrast agents

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Heart and Brain Lab, Western University

London, Ontario, N6A 5A5, Canada

RECRUITING

Related Publications (8)

  • Yaghi S, Moon YP, Mora-McLaughlin C, Willey JZ, Cheung K, Di Tullio MR, Homma S, Kamel H, Sacco RL, Elkind MS. Left atrial enlargement and stroke recurrence: the Northern Manhattan Stroke Study. Stroke. 2015 Jun;46(6):1488-93. doi: 10.1161/STROKEAHA.115.008711. Epub 2015 Apr 23.

    PMID: 25908460BACKGROUND
  • Healey JS, Gladstone DJ, Swaminathan B, Eckstein J, Mundl H, Epstein AE, Haeusler KG, Mikulik R, Kasner SE, Toni D, Arauz A, Ntaios G, Hankey GJ, Perera K, Pagola J, Shuaib A, Lutsep H, Yang X, Uchiyama S, Endres M, Coutts SB, Karlinski M, Czlonkowska A, Molina CA, Santo G, Berkowitz SD, Hart RG, Connolly SJ. Recurrent Stroke With Rivaroxaban Compared With Aspirin According to Predictors of Atrial Fibrillation: Secondary Analysis of the NAVIGATE ESUS Randomized Clinical Trial. JAMA Neurol. 2019 Jul 1;76(7):764-773. doi: 10.1001/jamaneurol.2019.0617.

    PMID: 30958508BACKGROUND
  • Vafaie M, Giannitsis E, Mueller-Hennessen M, Biener M, Makarenko E, Yueksel B, Katus HA, Stoyanov KM. High-sensitivity cardiac troponin T as an independent predictor of stroke in patients admitted to an emergency department with atrial fibrillation. PLoS One. 2019 Feb 12;14(2):e0212278. doi: 10.1371/journal.pone.0212278. eCollection 2019.

    PMID: 30753246BACKGROUND
  • Scheitz JF, Lim J, Broersen LHA, Ganeshan R, Huo S, Sperber PS, Piper SK, Heuschmann PU, Audebert HJ, Nolte CH, Siegerink B, Endres M, Liman TG. High-Sensitivity Cardiac Troponin T and Recurrent Vascular Events After First Ischemic Stroke. J Am Heart Assoc. 2021 May 18;10(10):e018326. doi: 10.1161/JAHA.120.018326. Epub 2021 May 13.

    PMID: 33982599BACKGROUND
  • Shibazaki K, Kimura K, Aoki J, Sakai K, Saji N, Uemura J. Brain natriuretic peptide level on admission predicts recurrent stroke after discharge in stroke survivors with atrial fibrillation. Clin Neurol Neurosurg. 2014 Dec;127:25-9. doi: 10.1016/j.clineuro.2014.09.028. Epub 2014 Oct 5.

    PMID: 25459239BACKGROUND
  • Maruyama K, Uchiyama S, Shiga T, Iijima M, Ishizuka K, Hoshino T, Kitagawa K. Brain Natriuretic Peptide Is a Powerful Predictor of Outcome in Stroke Patients with Atrial Fibrillation . Cerebrovasc Dis Extra. 2017;7(1):35-43. doi: 10.1159/000457808. Epub 2017 Mar 2.

    PMID: 28253498BACKGROUND
  • Kaatz S, Ahmad D, Spyropoulos AC, Schulman S; Subcommittee on Control of Anticoagulation. Definition of clinically relevant non-major bleeding in studies of anticoagulants in atrial fibrillation and venous thromboembolic disease in non-surgical patients: communication from the SSC of the ISTH. J Thromb Haemost. 2015 Nov;13(11):2119-26. doi: 10.1111/jth.13140. No abstract available.

    PMID: 26764429BACKGROUND
  • Jones WJ, Williams LS, Meschia JF. Validating the Questionnaire for Verifying Stroke-Free Status (QVSFS) by neurological history and examination. Stroke. 2001 Oct;32(10):2232-6. doi: 10.1161/hs1001.096191.

    PMID: 11588306BACKGROUND

MeSH Terms

Conditions

StrokeAtrial Fibrillation

Condition Hierarchy (Ancestors)

Cerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesVascular DiseasesCardiovascular DiseasesArrhythmias, CardiacHeart DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Luciano A Sposato, MD

    Western University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Diana Ayan, Pharm MSc

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
PREVENTION
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Neurologist, MD, MBA, FRCPC

Study Record Dates

First Submitted

September 6, 2024

First Posted

September 19, 2024

Study Start

October 16, 2025

Primary Completion (Estimated)

October 1, 2027

Study Completion (Estimated)

October 1, 2027

Last Updated

May 7, 2026

Record last verified: 2025-10

Locations