Objective:To determine the optimal molding technology of Forsythia Suspense leaves healthy instant tea. Methods:The effects of the ratio of different excipients to dry extract powder and the concentration of wetting agent on the indices including dis-solubility, appearance and formability were investigated by single factor tests. The drying time was determined with moisture as the in-dex, and the final forming process was optimized. Results:The optimal molding progress was as follows:the ratio of dry extract powder to lactose was 1 :1. 5, and after mixed completely, 80% ethanol was used as the wetting agent to prepare wet granules, finally dried at 60℃ for 1. 5 h. Conclusion:The molding technology of Forsythia suspense leaves healthy instant tea is feasible, which can provide ref-erence for the comprehensive development and utilization of Forsythia Suspense leaves.

Objective:To determine the optimal molding technology of Forsythia Suspense leaves healthy instant tea. Methods:The effects of the ratio of different excipients to dry extract powder and the concentration of wetting agent on the indices including dis-solubility, appearance and formability were investigated by single factor tests. The drying time was determined with moisture as the in-dex, and the final forming process was optimized. Results:The optimal molding progress was as follows:the ratio of dry extract powder to lactose was 1 :1. 5, and after mixed completely, 80% ethanol was used as the wetting agent to prepare wet granules, finally dried at 60℃ for 1. 5 h. Conclusion:The molding technology of Forsythia suspense leaves healthy instant tea is feasible, which can provide ref-erence for the comprehensive development and utilization of Forsythia Suspense leaves.

Objective:To investigate the risk factors for poor outcome and recurrence at 1 year after first-ever ischemic stroke in non-diabetic patients.Methods:Using Xi'an Stroke Registry Research Database, the clinical data of patients with non-diabetic first-ever ischemic stroke diagnosed in 4 tertiary A hospitals in Xi'an from January to December 2015 were collected. The National Institute of Health Stroke Scale (NIHSS) was used to evaluate the severity of stroke. Prognosis (functional outcome and recurrence) was followed up at 1 year after diagnosis. Functional outcome was assessed using the modified Rankin scale. 0-2 was defined as good outcome and >2 as poor outcome. Recurrence was defined as new focal neurological dysfunction caused by cerebral infarction or cerebral hemorrhage events during follow-up and confirmed by cranial CT or MRI. Multivariable logistic regression analysis was used to identify the independent influencing factors of clinical outcomes at 1 year. Multivariable Cox proportional hazard model was used to identify the independent influencing factors of recurrence within 1 year. Results:A total of 1 214 non-diabetic patients with first-ever ischemic stroke were included. One year follow-up showed that 210 patients (17.3%) had a poor outcome, 88 (7.2%) of them died, and 47 (3.9%) had recurrence. Multivariate logistic regression analysis showed that age (odds ratio [ OR] 1.065, 95% confidence interval [ CI] 1.042-1.090; P<0.001), atrial fibrillation ( OR 3.170, 95% CI 1.588-6.327; P=0.001), white blood cell count ( OR 1.106, 95% CI 1.006-1.216; P=0 037), baseline NIHSS score ( OR 1.210, 95% CI 1.147-1.277; P<0.001), and stroke associated-pneumonia (SAP; OR 3.677, 95% CI 1.451-9.316; P=0.006) were independently associated with poor outcomes. Multivariate Cox proportional hazards regression analysis showed that baseline NIHSS score (hazard ratio [ HR] 1.055, 95% CI 1.003-1.109; P=0.036) and SAP ( HR 7.067, 95% CI 3.154-15.836; P<0.001) were independently associated with recurrence. Kaplan-Meier survival curve analysis showed that the 1-year recurrence rate of patients with severe stroke was significantly higher than that of patients with mild to moderate stroke (log-rank test, P<0.001), and the 1-year recurrence rate of patients with SAP was significantly higher than that of patients without SAP (log-rank test, P<0.001). Conclusion:Age, atrial fibrillation, white blood cell count, baseline NIHSS score and SAP are the independent predictors of poor outcomes at 1 year after first-ever ischemic stroke in non-diabetic patients. Baseline NIHSS score and SAP are the independent predictors of recurrence within 1 year after first-ever ischemic stroke in non-diabetic patients.