在夏威夷阿尔茨海默病患者的生存差异
Chathura Siriwardhana1, Enrique Carrazana2, Kore Liow1,2,3
1Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA.
Journal of Alzheimer's disease : JAD
|January 27, 2025
概括
种族和社会经济差异对夏威夷的阿尔茨海默病 (AD) 存活率产生重大影响. 结合健康数据的机器学习模型在预测不同患者群体的生存结果方面表现有希望.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 阿尔茨海默病 (AD) 存活对于患者,家庭和医疗保健提供者来说至关重要.
- 夏威夷多元的人口经历了显著的种族健康差异.
- 了解这些差异对于公平的护理至关重要.
研究的目的:
- 为了检查在夏威夷的AD生存的种族/种族和社会经济差异.
- 开发机器学习模型,利用医疗保险数据预测整体存活率.
- 确定影响阿兹海默症患者死亡风险的因素.
主要方法:
- 利用了9年的夏威夷医疗保险数据,对9393名65岁以后诊断的AD患者进行了分析.
- 采用考克斯回归分析来评估基于种族/种族和社会经济地位 (SES) 的死亡风险.
- 开发了一个生存随机森林模型,结合了纵向健康资料来预测生存.
主要成果:
- 与白人 (82.7) 和夏威夷原住民和太平洋岛民 (NHPI) (83.3) 相比,亚裔美国人 (AA) 在较晚的平均年龄 (85.9岁) 被诊断出患有AD.
- 低SES极小增加了死亡风险 (HR=1.36).
- 调整后的分析显示,与高SES AAs相比,非AA组和低SES组的风险增加,NHPI和低SES白色面临最高风险.
结论:
- 种族/民族和社会经济差异显著影响阿尔茨海默病的发病和生存.
- 机器学习模型与纵向健康数据相结合,为阿尔茨海默病的生存提供了合理的可预测性.
- 解决发现的差异对于改善阿兹海默症患者的治疗结果至关重要.
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