Abstract DP115: Atrial Fibrillation may be Pathogenic in Half of Patients with Cryptogenic Stroke or TIA: The ANTARCTICA Individual Patient Data Meta-analysis

Background: Insertable cardiac monitoring (ICM) detects atrial fibrillation (AF) in substantial proportions of cryptogenic stroke, non-cryptogenic ischemic stroke without known AF, and non-stroke patients who are at risk of underlying AF. Given differences in patient characteristics across studies, there may be differences in AF detection rates on ICM across these subgroups that have not been identified. We investigate whether AF detection rates on ICM are higher in cryptogenic stroke or TIA (C-IS/TIA) patients compared to individuals with non-cryptogenic stroke or without stroke when accounting for differences in study populations. Methods: This is an individual-participant data (IPD) meta-analysis of prospective studies and randomized controlled trials (RCTs) of ICM in C-IS/TIA, non-cryptogenic ischemic stroke, and non-stroke patients. Multi-level multivariable logistic regression models were used to test whether C-IS/TIA is associated with increased AF detection relative to other categories. We performed multiple imputation to derive values for variables with