论文标题
使用阿尔茨海默氏病在电子健康记录中发作之前的医疗状况的阿尔茨海默氏病的时间亚型
Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records
论文作者
论文摘要
阿尔茨海默氏病（AD）的亚型可以促进诊断，治疗，预后和疾病管理。它还可以通过临床试验支持测试新的预防和治疗策略。在这项研究中，我们利用其诊断和条件的纵向EHR数据将光谱聚类用于Oneflorida数据信任的29,922例AD患者，以四种亚型。在第一次AD诊断之前，这些亚型表现出不同条件的进展模式。此外，根据各种统计测试的结果，在AD诊断后，这些亚型在人口统计学，死亡率和处方药方面也有显着差异。这项研究可能有可能促进对AD的早期检测和个性化处理，以及对AD的临床试验的数据驱动的概括评估。
Subtyping of Alzheimer's disease (AD) can facilitate diagnosis, treatment, prognosis and disease management. It can also support the testing of new prevention and treatment strategies through clinical trials. In this study, we employed spectral clustering to cluster 29,922 AD patients in the OneFlorida Data Trust using their longitudinal EHR data of diagnosis and conditions into four subtypes. These subtypes exhibit different patterns of progression of other conditions prior to the first AD diagnosis. In addition, according to the results of various statistical tests, these subtypes are also significantly different with respect to demographics, mortality, and prescription medications after the AD diagnosis. This study could potentially facilitate early detection and personalized treatment of AD as well as data-driven generalizability assessment of clinical trials for AD.
