Abstract
BACKGROUND: Ischemic stroke (IS) is a common disease, often resulting in death or disability. Previous studies on prognosis of stroke mainly focused on the baseline condition or modern expensive tests. However, the change of clinical symptoms during acute stage is considerably neglected. In our study, we aim to develop a new prognostic scale to predict the 90-day outcome of IS patients. METHODS: In this retrospective cohort study, a secondary data analysis was performed on 489 patients extracted from 1046 patients of 4 hospitals. A new prognostic scale was constructed to predict the recovery of IS mainly based on the National Institutes of Health Stroke Scale (NIHSS) score, traditional Chinese Medicine (TCM) symptoms & signs and the changes during the first 3 days of patients in the 3 TCM hospitals. Receiver Operating Characteristic (ROC) curve was used to determine the cutoff point for prediction. In the end, the scale was used to test the outcome of IS patients in Xuanwu hospital. RESULTS: The new prognostic scale was composed of 8 items including age degree (OR = 3.32; 95 % CI: 1.72-6.42), history of diabetes mellitus (DM) (OR = 2.20; 95 % CI: 1.19-4.08), NIHSS score (OR = 3.08; 95 % CI: 2.16-4.40), anxiety (OR = 3.17; 95 % CI: 1.90-5.29) and irritability (OR = 4.61; 95 % CI: 1.36-15.63) on the 1st day of illness onset, change in NIHSS score (OR = 2.49; 95 % CI: 1.31-4.73), and circumrotating (OR = 7.80; 95 % CI: 1.98-30.64) and tinnitus (OR = 13.25; 95 % CI: 1.55-113.34) during the first 3 days of stroke onset. The total score of the scale was 16.5 and the cutoff point was 9.5, which means patients would have poor outcome at 90 days of stroke onset if the score was higher than 9.5. The new scale was validated on the data of Xuanwu hospital, and the value of its sensitivity, specificity and overall accuracy were 69.6 %, 83.3 % and 75.0 % respectively. CONCLUSIONS: The 8-item scale, mainly based on TCM symptoms, NIHSS score and their changes during the first 3 days, can predict the 90-day outcome for IS patients while it still needs to be further validated and optimized clinically.