肝病与中风风险之间的关联:在中国大规模队列中,用机器学习进行横截面研究
Junchen Chen1, Yashi Chen1, Shunqiu Huang1
1Department of Neurosurgery, The First Affiliated Hospital of Shantou University Medical College, No.57 Changping Road, Shantou, Guangdong, 515041, China.
International journal of cardiology. Cardiovascular risk and prevention
|February 26, 2026
概括
肝病与中国45岁以上成年人中风有显著联系. 这项研究强调了在分析健康数据时使用严格方法的重要性,特别是在肝病和中风等疾病方面.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 老年学是指老年学的学科.
背景情况:
- 肝病 (LD) 是一个日益严重的全球健康问题.
- 在全球范围内,中风仍然是导致残疾和死亡的主要原因.
- 了解LD等慢性疾病和脑血管事件之间的关系对于预防策略至关重要.
研究的目的:
- 为了研究45岁及以上的中国成年人肝病和中风之间的联系.
- 利用来自中国健康与退休长度研究 (CHARLS) 的横截面数据.
- 探索机器学习模型在评估这种关联中的实用性.
主要方法:
- 2018年查尔斯波的4586名参与者的横截面分析.
- 使用了连续的多变量逻辑回归和加权分层分析.
- 研究了机器学习模型 (SVM,LR,RPART,RF,NB),并使用随机过量采样示例 (ROSE) 预处理数据,以管理类不平衡.
主要成果:
- 在肝病和中风之间发现了显著的关联 (P < 0.001).
- 在完全调整的模型中,LD仍然与中风有显著的关联 (OR = 2.6,P = 0.001).
- 在经过调整后,机器学习模型在这个数据集中没有显示出对中风的有意义的预测性能.
结论:
- 这项研究证实了中国老年人肝病和中风之间存在显著的关联.
- 方法论的严谨性,特别是在处理阶级不平衡时,对于准确的分析至关重要.
- 这些发现表明存在并发联系,这需要进一步的纵向研究来探索因果关系.
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