3种预测工具评估住院高血压患者脑卒中风险

Assessing the risk of cerebral stroke in hospitalized hypertension patients with three predictive tools

目的采用3种预测工具评估住院高血压患者脑卒中风险。方法选择高血压患者356例,采用脑卒中风险初筛量表、改良Framingham卒中风险评估量表(M-FSP)和汇集队列风险方程(PCE)评估脑卒中风险,并比较M-FSP和PCE在脑卒中风险评估应用中的一致性。结果脑卒中风险初筛量表评估男性脑卒中高危风险明显高于女性(28. 8%vs 17. 2%,P <0. 05);≥60岁脑卒中高危风险明显高于<60岁(30. 1%vs 15. 3%,P <0. 01)。M-FSP评估患者10年脑卒中风险(12. 6±7. 1)%,男性脑卒中风险明显高于女性[(14. 5±9. 6)%vs (10. 1±8. 9)%,P <0. 01];≥60岁脑卒中风险明显高于<60岁[(18. 8±12. 1)%vs (9. 4±7. 6)%,P <0. 01]。PCE评估患者10年脑卒中风险(13. 3±9. 2)%,男性脑卒中风险明显高于女性[(16. 5±11. 9)%vs (8. 9±7. 8)%,P <0. 01];≥60岁脑卒中风险明显高于<60岁[(29. 9±19. 5)%vs (11. 2±9. 3)%,P <0. 01]。相关性分析显示,男性和女性的r值分别为0. 647和0. 609,≥60岁和<60岁的r值分别为0. 577和0. 702(P <0. 01)。结论脑卒中风险初筛量表可以对个体脑卒中风险进行初筛和归类,M-FSP和PCE均能预测脑卒中发生风险。

Objective To provide the preventive strategy and evidence for reducing the incidence of cerebral stroke(CS)by assessing the risk of CS in hospitalized hypertension patients with 3 predictive tools.Methods The risk of CS in 356 hypertension patients admitted to our hospital was assessed according to the stroke risk initial screening scale(SRISS),modified Framingham stroke profile(M-FSP)and pooled corhort risk equation(PCE).The consistency of M-FSP and PCE in assessing the risk of CS was compared.Results SRISS showed that the incidence of high risk CS was significantly higher in male patients than in female patients and in≥60 years old patients than in<60 years old patients(28.8%vs 17.2%,P<0.05;30.1%vs 15.3%,P<0.01).M-FSP and PCE revealed that the 10-year incidence of CS was significantly higher in male patients than in female patients and in≥60 years old patients than in<60 years old patients(14.5%±9.6%vs 10.1%±8.9%,18.8%±12.1%vs 9.4%±7.6%,P<0.01;16.5%±11.9%vs 8.9%±7.8%,29.9%±19.5%vs 11.2%±9.3%,P<0.01).Correlation analysis displayed that the r value was 0.647 for male patients and 0.609 for female patiens,and was 0.577 for≥60 years old patients and 0.702 for<60 years old patients(P<0.01).Conclusion SRISS can be used to screen and classify the risk of CS.M-FSP and PCE can predict the risk of CS.