Jiann-Der Lee, Ya-Han Hu, Meng Lee, Yen-Chu Huang, Ya-Wen Kuo and Tsong-Hai Lee* Pages 250 - 257 ( 8 )
Background and Purpose: Recurrent ischemic strokes increase the risk of disability and mortality. The role of conventional risk factors in recurrent strokes may change due to increased awareness of prevention strategies. The aim of this study was to explore the potential risk factors besides conventional ones which may help to affect the advances in future preventive concepts associated with one-year stroke recurrence (OSR).
Methods: We analyzed 6,632 adult patients with ischemic stroke. Differences in clinical characteristics between patients with and without OSR were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses.
Results: Among the study population, 525 patients (7.9%) had OSR. Multivariate logistic regression analysis revealed that male sex (OR 1.243, 95% CI 1.025 – 1.506), age (OR 1.015, 95% CI 1.007 - 1.023), and a prior history of ischemic stroke (OR 1.331, 95% CI 1.096 – 1.615) were major factors associated with OSR. CART analysis further identified age and a prior history of ischemic stroke were important factors for OSR when classified the patients into three subgroups (with risks of OSR of 8.8%, 3.8%, and 12.5% for patients aged > 57.5 years, ≤ 57.5 years/with no prior history of ischemic stroke, and ≤ 57.5 years/with a prior history of ischemic stroke, respectively).
Conclusion: Male sex, age, and a prior history of ischemic stroke could increase the risk of OSR by multivariate logistic regression analysis, and CART analysis further demonstrated that patients with a younger age (≤ 57.5 years) and a prior history of ischemic stroke had the highest risk of OSR.
Acute ischemic stroke, one-year stroke recurrence, classification regression tree analysis, mortality, transient ischemic stroke (TIA), statins.
Department of Neurology, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Department of Information Management and Institute of Healthcare Information Management, National Chung Cheng University, Chiayi County, Department of Neurology, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Department of Neurology, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Department of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Taoyuan, Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Chang Gung University, Taoyuan