biostudies-literatureUnknown8(4)Kim SJ<h4>Objective</h4>To investigate the trends in antiseizure medications (ASMs) use following ischemic stroke and to examine factors associated with use of newer- and older-generation ASMs.<h4>Methods</h4>A retrospective cohort study was conducted using state-wide linked health datasets. Patients who were hospitalized with a first-ever ischemic stroke between 2013 and 2017 and were dispensed ASM within 12 months from discharge were included. Logistic regression was used to examine the predictors of receiving newer-generation ASMs. Generalized linear modeling was used to identify factors associated with ASM use after ischemic stroke.<h4>Results</h4>Of 19 601 people hospitalized with a first-ever ischemic stroke, 989 were dispensed an ASM within 12 months from discharge. The most prevalent firEpilepsia open1413-1424https://www.ebi.ac.uk/biostudies/studies/S-EPMC10690710biostudies-literatureShift from older- to newer-generation antiseizure medications in people with acute ischemic stroke in Australia: A population-based study.PMC10690710Marquina CWood SIlomaki JFoster EKim SJBell JSfalseShift from older- to newer-generation antiseizure medications in people with acute ischemic stroke in Australia: A population-based study.<h4>Objective</h4>To investigate the trends in antiseizure medications (ASMs) use following ischemic stroke and to examine factors associated with use of newer- and older-generation ASMs.<h4>Methods</h4>A retrospective cohort study was conducted using state-wide linked health datasets. Patients who were hospitalized with a first-ever ischemic stroke between 2013 and 2017 and were dispensed ASM within 12 months from discharge were included. Logistic regression was used to examine the predictors of receiving newer-generation ASMs. Generalized linear modeling was used to identify factors associated with ASM use after ischemic stroke.<h4>Results</h4>Of 19 601 people hospitalized with a first-ever ischemic stroke, 989 were dispensed an ASM within 12 months from discharge. The most prevalent fir2023-01-01T00:00:00Z2023 Dec2025-04-05T11:44:47.149Z2025-04-05T11:44:47.149ZS-EPMC106907103757459410.1002/epi4.12809