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目的:研究自然人群中颈-股脉搏波传导速度(C-FPWV)与心脑血管事件和全因死亡的关系。方法:在包头医学院第二附属医院体检科连续收集556例体检者的基本资料,并对体检者进行C-FPWV测定,平均随访5年,观察其终点事件的发生率。结果:动脉硬化组的心血管事件发生率(16.1%∶6.4%)和全因病死率(7.7%∶2.4%)均高于正常组,且差异有统计学意义。在重度动脉硬化组、轻度动脉硬化组和正常组的心血管事件发生率(分别为22.7%,10.7%和6.4%)和全因病死率(分别为10.5%,5.6%和2.4%)差异有显著统计学意义(P<0.001)。经Logistic回归分析后,重度动脉硬化组发生心脑血管事件的OR为4.609(95%CI:2.288～9.285),全因死亡的OR为4.763(95%CI:1.653～13.719)。轻度动脉硬化组发生心脑血管事件的OR为1.717(95%CI:0.822～3.586),全因死亡的OR为2.320(95%CI:0.777～6.920)。分别作C-FPWV与心脑血管事件和全因死亡的ROC曲线,得到预测心脑血管事件和全因死亡的最佳临界点分别为10.85m/s和11.05m/s。结论:C-FPWV可以独立预测心脑血管事件的发病和死亡风险。
AIM: To investigate the relationship between cervical-femoral pulse wave velocity (C-FPWV) and cardiovascular events and all-cause mortality in a natural population. Methods: The basic data of 556 subjects were collected continuously in the Second Affiliated Hospital of Baotou Medical College. The subjects were examined by C-FPWV. The average follow-up was 5 years. The incidence of end-point events was observed. Results: The incidence of cardiovascular events (16.1%: 6.4%) and all-cause mortality (7.7%: 2.4%) in arteriosclerosis group were significantly higher than those in normal group. There was significant difference between the two groups. The incidence of cardiovascular events (22.7%, 10.7% and 6.4%, respectively) and all-cause mortality (10.5%, 5.6% and 2.4%, respectively) were significantly different in patients with severe arteriosclerosis, mild arteriosclerosis and normal controls There was significant statistical significance (P <0.001). After logistic regression analysis, OR of 4.609 (95% CI: 2.288-9.285) and all-cause death was 4.763 (95% CI: 1.653-13.719) in patients with severe atherosclerosis. The OR for cardiovascular events in patients with mild arteriosclerosis was 1.717 (95% CI: 0.822-3.586), and the OR for all-cause mortality was 2.320 (95% CI: 0.777-6.920). The ROC curves of C-FPWV and cardiovascular events and all-cause death respectively were obtained. The best critical points for predicting cardiovascular events and all-cause mortality were 10.85m / s and 11.05m / s, respectively. Conclusion: C-FPWV can independently predict the risk of cardiovascular and cerebrovascular events.