Characterization of incident stroke signs and symptoms: findings from the atherosclerosis risk in communities study.

BACKGROUND AND PURPOSE Although patterns of stroke occurrence and mortality have been well studied, few epidemiological data are available regarding the clinical characteristics of stroke events. METHODS We evaluated hospitalized stroke events reported in the Atherosclerosis Risk in Communities (ARIC) Study to describe the clinical characteristics of incident stroke. Confirmed stroke cases (n=474) were evaluated for stroke symptoms (headache, vertigo, gait disturbance, convulsions) and stroke signs (hemianopia, diplopia, speech deficits, paresis, paresthesia/sensory deficits) and their univariate associations with race, sex, and stroke subtype. RESULTS Over 9.2 years of follow-up, 402 (85%) ischemic and 72 (15%) hemorrhagic strokes occurred. Frequency of stroke symptoms (95% CIs) were as follows: headache (27.4%; 23.4% to 31.4%), gait disturbance (10.8%; 7.9% to 13.6%), convulsions (4.4%; 2.6% to 6.3%), and vertigo (2.1%; 0.8% to 3.4%). Speech deficits occurred in 24.0% (20.2% to 27.9%), hemianopia in 14.6% (11.4% to 17.7%), and diplopia in 5.5% (3.4% to 7.5%) of cases. Most cases involved paresis (81.6%; 78.1% to 85.1%), while fewer cases experienced sensory deficits (44.5%; 40.0% to 49.0%). Blacks were more likely than whites to experience paresis (85.4% versus 78.2%; P=0.044). Men were more likely than women to experience a gait disturbance (14.4% versus 6.7%; P=0.007). Persons with hemorrhagic strokes had a higher proportion of headaches (55.6% versus 22.4%; P=0.001) and convulsions (11.1% versus 3.2%; P=0.003) than those with ischemic events, while speech and sensory deficits were more common in ischemic strokes (26.1% versus 12.5%, P=0.013, and 49.0% versus 19.4%, P=0.001, respectively). CONCLUSIONS We present epidemiological data concerning the clinical characteristics of incident stroke in a population-based cohort. Although minor differences by race, sex, and stroke subtype were observed, data from additional follow-up are required to confirm observed variations.