在中风后的患者中,心房动的预测得分
Caroliny Trevisan Teixeira1, Vanessa Rizelio1, Alexandre Robles2
1Hospital Instituto de Neurologia de Curitiba, Curitiba PR, Brazil.
Arquivos de neuro-psiquiatria
|August 15, 2024
概括
新的风险评分有助于识别中风后心房动 (AF) 风险较高的患者. 这种工具有助于针对AF检测进行有针对性的调查,改善患者的护理.
科学领域:
- 心脏病学 心脏病学
- 神经学 神经学
- 医疗信息学 医疗信息学
背景情况:
- 心房动 (AF) 是大脑缺血的一个重要风险因素.
- 检测帕洛西斯马性AF可能具有挑战性,需要有效的风险分层工具,特别是在资源有限的环境中.
研究的目的:
- 开发和验证在中风后进行随访的患者中发生性心房的预测评分工具.
主要方法:
- 从2014年到2021年,对872名脑缺血患者进行了回顾性纵向研究.
- 使用电子医疗记录,包括人口统计,临床,实验室,心电图,心电回声图和神经成像数据.
- 采用分步后勤回归来识别预测因素,并创建基于整数的风险评分.
主要成果:
- 开发的得分包括左心脏直径 (≥42毫米),年龄 (≥70岁),隔膜动脉瘤和NIH中风评分 (≥6).
- 评分≥2表示发生AF检测的风险增加了五倍.
- 该得分显示出良好的预测准确性,曲线下的面积 (AUC) 为0.77.
结论:
- 一个准确的风险评分工具事件AF已经开发出来.
- 这种工具可以帮助识别有针对性的AF调查中风后高风险个体.
- 为了更广泛的临床应用,建议对多中心样本进行进一步的验证.
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