Finding studies
Finding studies
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Leyla E Sade, MD
CONTACT
Benay Ozbay, MD
CONTACT
Lead
University of Pittsburgh
Cryptogenic stroke accounts for nearly one-third of ischemic strokes, yet its underlying mechanism often remains unidentified, leaving patients without targeted therapy. Atrial fibrillation (AF) is detected up to one third of cryptogenic strokes, but its detection frequently requires prolonged monitoring due to subclinical paroxysmal episodes. Increasing evidence suggests that structural and functional abnormalities of the left atrium (LA) precede AF and contribute to thromboembolic risk independently of rhythm disturbances. This multicenter retrospective study aims to determine whether impaired LA strain, a sensitive echocardiographic measure of atrial function, is associated with cryptogenic stroke and can predict recurrent events. Echocardiographic images of the patients who were referred to the echocardiography laboratory as part of stroke work up will be analyzed offline, using standardized speckle-tracking software. De-identified clinical and imaging data will be collected in the central core laboratory at the University of Pittsburgh for uniform analysis and validation. By establishing LA strain as a biomarker of atrial cardiopathy and cryptogenic stroke risk, this study seeks to bridge the current gap between stroke classification and management. Demonstrating the independent association between LA dysfunction and cryptogenic stroke and the recurrence of cryptogenic stroke independently of AF could support the use of LA strain as a risk marker to for monitoring patient and developing preventive strategies such as anticoagulation without documented AF. Hence, our findings may improve preventive care and reduce the burden of disabilities due to cryptogenic stroke.
Age
18–any
Sex
ALL
Healthy volunteers
Not accepted
