ALS的自然史:来自多中心临床队列的基线特征
Alex Berger1, Matteo Locatelli1, Ximena Arcila-Londono2
1Neurological Clinical Research Institute, Massachusetts General Hospital, Boston, MA, United States.
概括
美国ALS自然历史联盟 (ALS NHC) 从1925名患者中收集了全面的数据,显示出比临床试验数据更大的异质性. 这一数据集增强了对肌缩性侧面硬化症 (ALS) 的理解,以改善研究和治疗.
科学领域:
- 神经学 神经学
- 临床研究 临床研究
- 数据科学数据科学数据科学
背景情况:
- 肌缩侧面硬化症 (ALS) 研究迫切需要改进治疗方法和更充分地了解疾病的自然史.
- 由于限制性资格标准,目前的临床试验数据可能不代表整个ALS患者群体.
- 现有的生物标志物和队列研究虽然更具包容性,但如果参与负担很高,可能仍然无法捕捉ALS表型的全部谱.
研究的目的:
- 建立一个全面的数据集的肌缩性侧面硬化症 (ALS) 的人口,反映现实世界的患者多样性.
- 为了解决当前ALS研究数据的局限性,这些数据往往缺乏对整个患者群体的概括性.
- 通过从广泛的ALS患者中收集广泛的数据,促进对ALS异质性的全面理解.
主要方法:
- 成立了ALS自然历史联盟 (ALS NHC),涉及9个ALS诊所.
- 该联盟旨在实现最大限度的患者参与,大约95%的接触患者同意加入.
- 在获得同意后,从每个参与者的电子健康记录中抽取了最小的数据集,从而最大限度地降低了患者的负担.
主要成果:
- 截至2022年12月9日,来自1925名ALS患者的数据已提交到ALS NHC.
- 与ALS临床试验数据库 (PRO-ACT) 的匿名数据相比,ALS NHC的参与者表现出更大的异质性.
- 该ALS NHC队列包括患病年龄较高的患者,并且El Escorial类别的分布比PRO-ACT数据库更广泛.
结论:
- 与ALS临床试验相比,ALS NHC参与者在诊断和人口统计数据中表现出更高的多样性.
- 这种基于临床的纵向数据集有助于更好地了解ALS自然史.
- 这些数据可以为临床试验设计,健康经济学研究,临床过程预测和ALS治疗和护理实践的现实世界证据文档提供信息.
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