急性中风患者的临床表型:二次分析
Mohammadreza Hajiesmaeili1, Navid Nooraei2, Nasser Malekpour Alamdari2
11Critical Care Quality Improvement Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
概括
两组急性中风患者的功能恢复有所不同. 轻松测量的临床特征可以识别这些群体,以便在中风患者中更好地确定护理优先级和资源配置.
科学领域:
- 神经学 神经学
- 临床数据分析 临床数据分析
- 患者的分层是患者的分层.
背景情况:
- 卒中是全球死亡和残疾的主要原因之一.
- 它给患者,医疗保健系统和护理人员造成了巨大的负担.
- 了解患者的异质性对于有效的管理至关重要.
研究的目的:
- 为了确定住院急性中风患者的不同集群.
- 分析人口统计和临床数据以发现模式.
- 评估已识别的集群之间的功能恢复差异.
主要方法:
- 匿名化急性中风患者数据的二次分析 (2019年12月-2021年6月).
- 包括216名患者,平均年龄为60.3岁.
- 使用层次聚类和后勤回归来分析人口和临床特征,包括巴特尔指数.
主要成果:
- 确定了两个不同的患者集群 (109名和107名患者).
- 集群在释放时的巴特尔指数得分 (P <0.001) 中存在显著差异.
- 年龄,血压,脉率,D-二次体,LDL,血红蛋白,肌,NIHSS和入院巴特尔指数预测了集群成员资格.
结论:
- 住院急性中风患者可以分为两个群体,具有不同的功能恢复.
- 这些集群可以使用随时可用的临床和人口统计数据来识别.
- 预后分组有助于对急性中风患者的护理优先级和资源分配.
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