在阿尔茨海默病中针坚持的预测模型:随机对照试验的二次分析
Ze-Hao Chen1, Ran Li2, Yu-Hang Jiang1
1Department of Acupuncture and Moxibustion, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 5 Beixiange, Xicheng District, Beijing, China.
JMIR aging
|January 21, 2026
概括
一个新的预测模型确定了阿尔茨海默病 (AD) 的患者可能会坚持针治疗. 早期治疗和更短的疾病持续时间预测了更好的坚持,帮助临床实践和研究.
科学领域:
- 神经学 神经学
- 综合医学是一个整体的医学.
- 医疗信息学 医疗信息学
背景情况:
- 对阿尔茨海默病 (AD) 的针疗法的疗效取决于患者的坚持.
- 预测ADHERENCE对于优化AD治疗结果至关重要.
- 针对性干预需要了解依从性决定因素.
研究的目的:
- 在可能的AD患者中开发和验证针坚持的预测模型.
- 确定影响治疗坚持的关键因素.
- 促进参与者分层和主动的坚持管理.
主要方法:
- 从两个随机对照试验中对108名可能患有AD的患者进行了二次分析.
- 定义好的坚持是完成了≥80%的针治疗.
- 使用多变量逻辑回归来识别预测因素,并构建了一个名ogram.
- 使用ROC曲线,校准图和决策曲线分析评估模型性能.
主要成果:
- 在第一个月增加治疗显著提高了坚持率 (OR3.06).
- 较长的疾病持续时间 (OR 0.97) 和兼职护理人员 (OR 0.19) 与较低的坚持有关.
- 灵敏度分析证实了模型在不同粘附值的稳定性.
结论:
- 在阿尔茨海默病患者中,用于针坚持治疗的第一个预测模型和名图.
- 通过帮助参与者选择和支持,提高临床试验质量.
- 能够在临床实践中进行主动管理,以改善坚持和结果.
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