脑血管储备功能对频繁短暂性脑缺血发作患者继发脑卒中风险的评估价值

Value of cerebrovascular reserve capability in evaluating risk of secondary stroke in patients with frequent transient ischemic attack

  • 摘要:
      目的  探讨脑血管储备(CVR)功能对频繁短暂性脑缺血发作(TIA)患者继发脑卒中风险的评估价值。
      方法  选择频繁TIA患者86例,均按照TIA治疗指南推荐方法接受综合治疗。根据随访1年有无继发脑卒中将患者分为卒中组和无卒中组,采用经颅多普勒超声(TCD)结合CO2吸入试验评估2组患者治疗前后的CVR、血流灌注指数(PI)和脑动脉平均血流量(MCV)变化。应用多元Logistic回归分析法分析TIA患者继发脑卒中的相关危险因素,并绘制受试者工作特征(ROC)曲线评估CVR对继发脑卒中的预测价值。
      结果  随访1年,24例患者继发脑卒中,62例患者未继发脑卒中。治疗后,2组CVR、MCV均高于治疗前,PI均低于治疗前,差异有统计学意义(P < 0.05);治疗后,卒中组CVR低于无卒中组,差异有统计学意义(P < 0.05),但2组PI、MCV差异无统计学意义(P>0.05)。多元Logistic回归分析显示,CVR为频繁TIA患者继发脑卒中的影响因素(OR=3.219,P=0.011)。ROC分析显示,CVR预测继发脑卒中风险的准确度为84.6%,灵敏度为87.6%,特异度为75.3%。
      结论  CVR与频繁TIA患者继发脑卒中风险密切相关,可作为预测脑卒中风险的重要定量指标。

     

    Abstract:
      Objective  To explore value of cerebrovascular reserve (CVR) capability in evaluating risk of secondary stroke in patients with frequent transient ischemic attack (TIA).
      Methods  A total of 86 patients with frequent TIA were selected and conducted with comprehensive treatments according to recommended methods of TIA treatment guidelines. After one year of follow up, the patients were divided into stroke group and non-stroke group according to the occurrence of secondary stroke, and transcranial Doppler (TCD) combined with CO2 inhalation test was used to evaluate the changes of CVR, blood perfusion index (PI) and mean cerebral artery blood volume (MCV) before and after treatment in both groups. Multivariate Logistic regression analysis was used to analyze the risk factors of secondary stroke in TIA patients, and the Receiver Operating Characteristic (ROC) curve was drawn to evaluate the predictive value of CVR for secondary stroke.
      Results  One year follow-up showed that 24 patients had secondary stroke and 62 patients had no secondary stroke. After treatment, CVR and MCV in both groups were significantly higher than those before treatment, while PI was significantly lower than that before treatment (P < 0.05). After treatment, CVR of the stroke group was significantly lower than that of the non-stroke group (P < 0.05), but PI and MCV showed no significant differences between the two groups (P>0.05). Multivariate Logistic regression analysis showed that CVR was the influencing factor of secondary stroke in patients with frequent TIA (OR= 3.219, P=0.011). ROC analysis showed that the accuracy, sensitivity and specificity of CVR in predicting the risk of secondary stroke were 84.6%, 87.6%and 75.3% respectively.
      Conclusion  CVR is closely related to the risk of secondary stroke in patients with frequent TIA, which can be used as an important quantitative index to predict the risk of stroke.

     

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