轻度认知障碍的年龄特异性并发症负担:美国索赔数据库研究
Gang Li1, Nicola Toschi2,3, Viswanath Devanarayan4
1Eisai Inc., 200 Metro Boulevard, Nutley, NJ, 07110, USA. Gang_Li@eisai.com.
Alzheimer's research & therapy
|December 7, 2023
概括
识别与轻度认知障碍 (MCI) 相关的并发症有助于预测阿尔茨海默病和相关痴呆症 (ADRD) 风险. 伴随性疾病负担取决于年龄,某些疾病是MCI的特定预测因素.
科学领域:
- 神经学 神经学
- 老年病的医生 老年病的医生
- 在医疗保健中的数据科学.
背景情况:
- 早期识别轻度认知障碍 (MCI) 患有阿尔茨海默病和相关痴呆障碍 (ADRD) 高风险的患者对于个性化预防策略至关重要.
- 调查MCI和ADRD并发症之间的联系可以提高预测能力.
- 机器学习算法可以分析复杂的并发症数据以进行风险评估.
研究的目的:
- 调查MCI与与ADRD相关的并发症之间的关联.
- 评估这些并发症的预测能力,以确定MCI风险.
- 开发基于并发症的MCI风险预测的机器学习模型.
主要方法:
- 使用了追溯匹配的病例控制研究设计.
- 从MarketScan数据库中分析了50岁及以上的5185名MCI和15555名非MCI个体的数据.
- 预测模型包括25种ADRD并发症,年龄和性别.
主要成果:
- 在25种ADRD并发症和MCI之间发现了显著的关联,尽管这些随着年龄的增长而减弱.
- 在MCI与非MCI个体中,抑郁症和中风/暂时性缺血性发作的几率比率随着年龄的增长而下降.
- 通过ROC-AUC测量的预测准确性,在老年人群下降 (0.75,0.70,0.66).
结论:
- 患有MCI的个体的并发症负担受到年龄的重大影响.
- 仅使用并发症的预测模型在诊断MCI时表现出合理的准确性.
- 某些并发症作为MCI的特定年龄预测因素.
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