Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA.
Indiana University Center for Health Innovation and Implementation Science, School of Medicine, Indianapolis, IN, USA.
J Alzheimers Dis. 2024;99(2):739-752. doi: 10.3233/JAD-231286.
Early detection of Alzheimer's disease (AD) is a key component for the success of the recently approved lecanemab and aducanumab. Patients with neuroinflammation-related conditions are associated with a higher risk for developing AD.
Investigate the incidence of AD among patients with neuroinflammation-related conditions including epilepsy, hemorrhage stroke, multiple sclerosis (MS), and traumatic brain injury (TBI).
We used Optum's de-identified Clinformatics Data Mart Database (CDM). We derived covariate-matched cohorts including patients with neuroinflammation-related conditions and controls without the corresponding condition. The matched cohorts were: 1) patients with epilepsy and controls (N = 67,825 matched pairs); 2) patients with hemorrhage stroke and controls (N = 81,510 matched pairs); 3) patients with MS and controls (N = 9,853 matched pairs); and 4) patients TBI and controls (N = 104,637 matched pairs). We used the Cox model to investigate the associations between neuroinflammation-related conditions and AD.
We identified that epilepsy, hemorrhage stroke, and TBI were associated with increased risks of AD in both males and females (hazard ratios [HRs]≥1.74, p < 0.001), as well as in gender- and race-conscious subpopulations (HRs≥1.64, p < 0.001). We identified that MS was associated with increased risks of AD in both males and females (HRs≥1.47, p≤0.004), while gender- and race-conscious subgroup analysis shown mixed associations.
Patients with epilepsy, hemorrhage stroke, MS, and/or TBI are associated with a higher risk of developing AD. More attention on cognitive status should be given to older patients with these conditions.
阿尔茨海默病(AD)的早期检测是最近批准的 lecanemab 和 aducanumab 成功的关键组成部分。与神经炎症相关的疾病患者发生 AD 的风险更高。
调查包括癫痫、出血性中风、多发性硬化症(MS)和创伤性脑损伤(TBI)在内的神经炎症相关疾病患者中 AD 的发病率。
我们使用 Optum 的去识别 Clinformatics Data Mart 数据库(CDM)。我们得出了包含神经炎症相关疾病患者和无相应疾病对照的协变量匹配队列。匹配队列包括:1)癫痫患者和对照者(N=67825 对匹配);2)出血性中风患者和对照者(N=81510 对匹配);3)MS 患者和对照者(N=9853 对匹配);和 4)TBI 患者和对照者(N=104637 对匹配)。我们使用 Cox 模型来研究神经炎症相关疾病与 AD 之间的关联。
我们发现癫痫、出血性中风和 TBI 与男性和女性 AD 的发生风险增加相关(风险比 [HR]≥1.74,p<0.001),并且在性别和种族意识的亚人群中也是如此(HR≥1.64,p<0.001)。我们发现 MS 与男性和女性 AD 的发生风险增加相关(HR≥1.47,p≤0.004),而性别和种族意识的亚组分析显示出混杂的关联。
癫痫、出血性中风、MS 和/或 TBI 患者发生 AD 的风险较高。应更加关注这些疾病的老年患者的认知状态。