Abstract P648: The Presence and the Features of Silent Brain Infarction Are Associated With Stroke Recurrence in Acute Ischemic Stroke Patients With Atrial Fibrillation

Abstract

Background: The significance of silent brain infarction (SBI) for stroke recurrence in acute ischemic stroke (AIS) patients with atrial fibrillation (AF) has yet to be elucidated. This study aims to evaluate SBI as an independent predictor and which characteristics of SBI are associated with stroke recurrence in AIS patients with AF. Methods: A multicenter prospective cohort recruited AIS patients with non-valvular AF from 14 centers from Oct 2017 to Dec 2018, and followed for ischemic stroke recurrence, all types of stroke and TIA, and all-cause mortality. Three patient groups; stroke patients with prior stroke history (PS), first-ever stroke with SBI [F-SBI(+)] and first-ever stroke without SBI [F-SBI(-)] were compared with Cox frailty model according to predetermined covariates. SBI subtypes; embolic-appearing pattern (EAP) and non-EAP, and SBI characteristics; size, numbers, and vascular territory involvements were assessed. Results: A total of 978 AF-AIS patients [27.5% PS, 29.1% F-SBI(+), 43.4% F-SBI(-)] were followed for 365 [348-374] days (median). Incidence of ischemic stroke recurrence in F-SBI(+) was higher than F-SBI(-), however, there was no significant difference compared to PS (p=0.860). Adjusted hazards for ischemic stroke recurrence and all kinds of stroke and TIA in F-SBI(+) were shown to be elevated [HR 3.87 (95% CI 1.53-9.16) and 2.60 (1.21-5.56)], and similar to PS [4.20 (1.73-10.24) and 2.90 (1.36-6.18)] when compared to F-SBI(-), respectively. Despite irrelevance in non-EAP SBI, a 4-fold increase of hazards in EAP SBI was observed [4.07 (1.63-10.13)]. Other SBI characteristics were not associated with outcomes. SBI and SBI features did not increase all-cause mortality. Conclusions: SBI and specifically, EAP SBI elevated stroke recurrence in AF-AIS patients as much prior stroke has increased the risk. Considering SBI to predict recurrence is suggested likewise prior stroke history is scored in AF thromboembolic risk estimation tools.