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Journal of Atherosclerosis and Thrombosis 2020-Jan

Eicosapentaenoic-to-Arachidonic Acid Ratio Predicts Mortality and Recurrent Vascular Events in Ischemic Stroke Patients.

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Yuri Shojima
Yuji Ueno
Ryota Tanaka
Kazuo Yamashiro
Nobukazu Miyamoto
Kenichiro Hira
Naohide Kurita
Sho Nakajima
Takao Urabe
Nobutaka Hattori

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Abstrè

The ratio of eicosapentaenoic acid (EPA) to arachidonic acid (AA) is related to major adverse events and death in cardiovascular diseases. The association between long-term prognosis of ischemic stroke and EPA/AA ratio has not been clarified.Acute ischemic stroke patients who had undergone blood examinations for polyunsaturated fatty acids were enrolled. Major cardiovascular events, including recurrence of ischemic stroke, occurrence of cardiovascular and peripheral artery diseases and hemorrhagic stroke, and death, were analyzed, retrospectively. Cox proportional hazards regression analysis was used to explore factors, including clinical characteristics, laboratory data including EPA/AA ratio, and treatments associated with major cardiovascular events and death.A total of 269 patients (mean age, 70±13 years; 179 men) were enrolled. During follow-up (mean, 2.3 ±1.0 years), 64 patients exhibited major cardiovascular events and death (annualized rate, 10.5% per person-year). Multivariate Cox analysis revealed that EPA/AA ratio (hazard ratio, 0.26; 95% confidence interval, 0.07- 0.99; p=0.048) and statin therapy (hazard ratio, 0.43; 95% confidence interval, 0.25-0.73; p=0.002) correlated inversely with major cardiovascular events and death. In the Kaplan-Meier analysis, cumulative event-free rates were significantly lower among patients with EPA/AA ratio <0.33 and patients without statin therapy (p=0.006).Low EPA/AA ratio at baseline and treatment without statins could predict mortality, recurrent ischemic stroke, cardiovascular and peripheral artery diseases, and hemorrhagic stroke among patients with acute ischemic stroke. The combination of baseline EPA/AA ratio and statin therapy could be critical in predicting the long-term prognosis of ischemic stroke patients.

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