动脉刚性和基线血管负荷与新缺口和微型血液之间的关系:纵向队列研究
Luis Mena1, Juan José Mengual1, Sonia María García-Sánchez1,2
1Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain.
European stroke journal
|October 24, 2023
概括
动脉硬度,以24小时脉冲波速度测量,与大脑小血管疾病的进展有关. 大脑小血管疾病得分比年龄或血液动力学因素更好地预测疾病的进展.
科学领域:
- 神经学 神经学
- 心血管科学 心血管科学
- 医疗成像医学成像
背景情况:
- 动脉硬与大脑小血管疾病 (cSVD) 的发展有关.
- 了解cSVD进展的预测因素对于患者管理至关重要.
- 最近的小皮下心脏病发作 (RSSI) 患者是研究cSVD的关键人群.
研究的目的:
- 调查动脉硬与cSVD进展之间的关联.
- 为了确定24小时脉冲波速度 (24-h PWV) 和新cSVD标记器的其他因素的预测值.
- 将cSVD得分的预测能力与年龄和血液动力学参数进行比较.
主要方法:
- 门诊血压监测 (ABPM) 用于在92名RSSI患者中测量24小时PWV.
- 大脑MRI评估了基线cSVD标志物 (缺口,微型血液,白质超强度,扩大周围血管空间) 以获得cSVD得分.
- 2年后的随访MRI评估新的缺口或微型血液;使用AUC优化统计模型.
主要成果:
- 在24小时PWV和年龄之间观察到强烈的相关性 (r=0.942,p<0.001).
- 在调整年龄,24小时PWV,NT-proBNP和高胆固醇血症 (OR 2.453) 之后,cSVD与新的缺口或微型血液显著相关.
- 对于cSVD进展的最佳预测模型包括cSVD得分,24小时PWV和高胆固醇血症,AUC约为0.85.
结论:
- 大脑小血管疾病 (cSVD) 评分是RSSI患者中cSVD进展的更强大的预测因素,而不是年龄或血液动力学参数.
- 通过24小时PWV测量的动脉硬性有助于理解cSVD的发展.
- 这些发现强调了包括动脉硬和cSVD负担在内的综合评估的重要性.
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