残余胆固醇水平与大动脉粥样硬化型缺血性脑卒中的相关性研究

    Correlation between residual cholesterol levels and large artery atherosclerotic ischemic stroke

    • 摘要:
      目的: 探讨血液中残余胆固醇(RC)的水平与大动脉粥样硬化型缺血性脑卒中(LAA-IS)发病的是否具有相关性。
      方法: 选取LAA-IS病人156例为观察组,同期156名健康体检者为对照组。收集2组一般资料及生化指标,利用logistic回归分析、Spearman相关分析、ROC曲线分析RC水平对LAA-IS的影响。
      结果: 与对照组比较,观察组高血压、体质量指数、三酰甘油、低密度脂蛋白胆固醇、RC、高同型半光氨酸水平均高于对照组,高密度脂蛋白胆固醇、载脂蛋白A水平均低于对照组,差异均有统计学意义(P < 0.05)。logistic回归分析显示高血压、RC升高、高同型半光氨酸升高可能是LAA-IS的危险因素,载脂蛋白A升高可能是保护因素(P < 0.05)。ROC曲线分析显示,RC评估LAA-IS曲线下面积为0.853,敏感度为66.7%,特异度为94.2%。
      结论: RC是LAA-IS的独立危险因素,可预测LAA-IS。
      结论: RC是LAA-IS的独立危险因素,可预测LAA-IS。

       

      Abstract:
      Objective To investigate whether there is a correlation between the level of residual cholesterol (RC) in blood and the development of large artery atherosclerotic ischemic stroke (LAA-IS).
      Methods A total of 156 patients with LAA-IS were selected as the observation group, and 156 healthy medical check-ups in the same period were selected as the control group. General data and biochemical indexes were collected between the 2 groups, and the effects of RC levels on LAA-IS were analyzed using logistic regression analysis, Spearman correlation analysis, and ROC curves.
      Results Compared with the control group, the observation group had higher levels of hypertension, body mass index, triacylglycerol, low-density lipoprotein cholesterol, RC, and high homocysteine, while the levels of high-density lipoprotein cholesterol and apolipoprotein A were lower than those of the control group, and the differences were statistically significant (P < 0.05). Logistic regression analysis showed that high blood pressure, elevated RC, and elevated high homocysteine might be the risk factors of LAA-IS, and the elevated apolipoprotein A (ApoA) might be a protective factor (P < 0.05). ROC curve analysis showed that the area under the curve of LAA-IS assessed by RC was 0.853, with a sensitivity of 66.7% and a specificity of 94.2%.
      Conclusion RC is an independent risk factor for LAA-IS and can predict LAA-IS.

       

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