通过潜在类分析确定了急性缺血性中风患者中隐藏的风险模式
Lei Gu1, Zhezhe Sun2, Xiangqing Hou3
1The Department of Rehabilitation Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, China.
Frontiers in neurology
|August 13, 2025
概括
这项研究根据风险因素确定了急性缺血性中风 (AIS) 的两个不同的患者子组. 一组,以低淋巴细胞的老年患者为特征,面临着明显更高的功能性结果差的风险.
科学领域:
- 神经学 神经学
- 临床医学 临床医学
- 生物统计学 生物统计学
背景情况:
- 急性缺血性中风 (AIS) 患者的结果受到多种风险因素的影响,但综合性研究有限.
- 了解这些风险模式对于有效的患者管理和治疗策略至关重要.
研究的目的:
- 根据临床特征和风险因素模式,在AIS患者中确定不同的患者子组.
- 调查确定风险模式与中风后3个月的功能结果之间的关联.
- 为AIS患者提供个性化治疗计划的信息.
主要方法:
- 隐性类分析 (LCA) 使用五种风险因素对448名AIS患者进行了分类.
- 考克斯比例危险回归分析用于评估风险模式与3个月功能结果之间的关系.
- 临床随访数据是在入院后72小时内收集的.
主要成果:
- 确定了两个不同的患者亚组 (类):第1类 ("低淋巴细胞的老年人") 和第2类 ("低中性粒细胞和高淋巴细胞").
- 第1类患者 (47.8%) 主要是老年人,淋巴细胞水平较低.
- 与2类患者相比,1类患者的不良功能结果风险明显高 (调整后的危险比:3.21;p < 0.001).
结论:
- 隐性类分析成功地确定了具有独特临床和实验室特征的AIS患者的两个不同的亚组.
- 鉴定到的风险模式与功能结果有显著的关联,突出显示了需要量身定制的治疗方法.
- 这些发现为AIS患者的健康管理和治疗提供了宝贵的见解.
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