Abstract TP295: Predictability of Stroke Symptoms in Acute Stroke

Background: Prompt signs and symptoms recognition and intervention are essential to achieve the best outcome after stroke. Stroke codes were developed to expedite assessment and treatment. Their optimal use requires accurate identification of stroke patients. In order to improve diagnostic accuracy in our institution, we analyzed the predictive value of individual stroke signs and symptoms in patients in whom stroke codes were activated from the emergency department (ED) by physicians and nurses and from inpatient wards by nurses, residents and hospitalists. Methods: We retrospectively analyzed 501 consecutive stroke codes in our stroke log from May 2013 to May 2015. Age, gender, presenting signs and symptoms, medical history and final diagnosis were assessed. Patients were classified as stroke (ischemic and hemorrhagic) or non-stroke based on the final impression after the completed work-up. X2 statistic was utilized to assess associations. Results: Overall, 202 (40.3%) patients were classified as stroke...