Ischemic Stroke Predictors in Patients Presenting with Dizziness, Imbalance, and Vertigo

被引:17
作者
Kim, Yongwoo [1 ]
Faysel, Mohammad [2 ]
Balucani, Clotilde [3 ,4 ]
Yu, Daohai [5 ]
Gilles, Nadege [3 ,4 ]
Levine, Steven R. [3 ,4 ,6 ]
机构
[1] Temple Univ, Lewis Katz Sch Med, Dept Neurol, Neurovasc Div, Philadelphia, PA 19122 USA
[2] Suny Downstate Med Ctr, Med Informat Program, Coll Hlth Related Profess, Brooklyn, NY 11203 USA
[3] Suny Downstate Med Ctr, Stroke Ctr, Brooklyn, NY 11203 USA
[4] Dept Neurol, Brooklyn, NY USA
[5] Temple Univ, Lewis Katz Sch Med, Dept Clin Sci, Philadelphia, PA 19122 USA
[6] Kings Cty Hosp Ctr, Dept Neurol, Brooklyn, NY USA
关键词
Dizziness; vertigo; imbalance; ischemic stroke; risk factors; emergency department; risk stratification; EMERGENCY-DEPARTMENT; ABCD(2) SCORE; ATTACK; RISK;
D O I
10.1016/j.jstrokecerebrovasdis.2018.08.002
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Objects: To identify predictors of acute ischemic stroke (AIS) among patients presenting to the Emergency Department (ED) with dizziness, imbalance, or vertigo (DIV) based on demographic and clinical characteristics. Methods: We identified patients admitted to the hospital after presenting to the ED with DIV from the State-wide Planning and Research Cooperative System database of New York from 2010 to 2014. Demographic and clinical characteristics were systematically collected. Multivariable logistic regression was used to determine predictors of a discharge diagnosis of AIS. Results: Among 77,993 patients with DIV, 3857 (4.9%) had a discharge diagnosis of AIS. Admission presentation of imbalance, African-American race, history of hypertension, diabetes mellitus, hypercholesterolemia, tobacco use, atrial fibrillation, and prior AIS due to extracranial artery atherosclerosis were each positively associated with an AIS diagnosis independently. Factors negatively associated with an AIS discharge diagnosis included: admission presentation of vertigo, female sex, age > 81, history of anemia, coronary artery disease, asthma, depressive disorders, and anxiety disorders. Conclusions: Multiple potential positive and negative predictive AIS risk factors were identified. Combining with currently available centrally-caused dizziness prediction tools, these newly identified factors could provide more accurate AIS risk stratifying method for DIV patients.
引用
收藏
页码:3419 / 3424
页数:6
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