Stroke in acute coronary syndrome: predictors and prognosis

Funding Acknowledgements Type of funding sources: None. OnBehalf on behalf of the Investigators of " Portuguese Registry of ACS " Introduction Stroke is a potential complication of acute coronary syndromes (ACS) and it is, therefore, important to access its impact on prognosis and identify patients with higher risk of stroke in the setting of ACS. Objective To evaluate predictors and prognosis of stroke in the setting of ACS. Methods Based on a multicenter retrospective study, data collected from admissions between 1/10/2010 and 4/09/2019. Patients (pts) without data on previous cardiovascular history or uncompleted clinical data were excluded. Pts were divided in 2 groups (G): GA – pts without stroke; GB - pts with stroke during hospitalization. Logistic regression was performed to assess predictors of stroke in ACS. Survival analysis was evaluated through Kaplan Meier curve. Results Population – 25711 pts with ACS, CA occurred in 154 (0.6%). Regarding epidemiological factors and past history, GB was older (72 ± 12 vs 67 ± 14, p Logistic regression confirmed that older age (p = 0.018, OR 1.69, CI 1.10-2.60), female gender (p Conclusion As expected, stroke in the setting of ACS is associated with poorer prognosis. Several characteristics of the pts may help to predict the occurrence of stroke during hospitalizations, therefore allowing an earlier identification and prompt treatment.