Objective To study the effects and significance of thrombexane -B_2(TXB_2)and six-ketone-prostaglandin(6-k-PG)F1 α levels in the primary type of hyper-acute cerebral infarction with different sensitivities to aspirin.Methods Sixty-three patients with primary type of hyper-acute cerebral infarction were divided into three groups based on their sensitivities to aspirin:aspirin resistance(AR)group,aspirin semiresistance(ASR)group,aspirin sensitivity(AS)group.TXB_2 and 6-k-PGF1α levels were measured,compared and analyzed in the three groups before and two weeks after taking aspirin(100 mg/d).Results The total effective rate in AS group[87.0%(20/23)]was significantly higher than that in ASR group[55.0%(11/20)]and AR group[30.0%(6/20)](P<0.05).There was no significant difference of TXB_2 and 6-k-PGF1 α among the three groups before taking aspirin.After taking aspirin for two weeks,TXB_2 leveh in all the three groups were lower than those before making aspirin(P<0.01),6-k-PGF1α levels in all the three groups were higher than those before taking aspirin(P<0.01).Conclusions Aspirin can decrease the TXB_2 concentration and increase the 6-k-PGF1α concentration of the primary hyper-acute cerebral infarction. It may be reduce the risks of re-infarction after the primary acute infarction. Monitoring the concentration of TXB_2 and 6-k-PGF1α can be helpful to evaluate rehabilitation prognosis.

Objective:To establish a set of scientific and reasonable indicator system of common prosperity in the field of health, so as to promote the construction and evaluation of the demonstration area of common prosperity with high quality of health.Methods:According to the requirements of promoting common prosperity demonstration area with high quality of health in Zhejiang province, the initial indicator pool was established through literature research and theoretical analysis in July 2021, and experts were convened to carry out expert brainstorming to determine indicator system in the form of meetings. Delphi method was used to conduct two rounds of expert consultation on the indicator system.Finally, the analytic hierarchy process and percentage weight method were used to calculate the indicator weight value.Results:The final indicator system included 4 first-level indicators and 30 second-level indicators. Among the first-level indicators, the weight values of the development, equilibrium, inclusiveness, and sustainability were 0.326 4, 0.242 8, 0.245 8, and 0.185 0. There were 8 second-level indicators in developmental indicator dimension, of which the indicator with the highest weight was the per capita health expectancy. The balance indicator dimension included 6 second-level indicators, of which the indicator with the highest weight was the per capita financing difference of basic medical insurance between the urban workers with the urban-rural residents. The inclusive indicator dimension included 6 second-level indicators, and the proportion of personal health expenditure to total health expenditure had the highest weight. The sustainability indicator dimension included 10 second-level indicators, and the proportion of government health expenditure in fiscal expenditure had the highest weight.Conclusions:The indicator system constructed in this research could provide certain guidance and reference for promoting the construction of common prosperity in health, and provide some reference for follow-up research in this field.