Identification of Amyotrophic Lateral Sclerosis Clinical Predictors

描述(由申请人提供)：该项目的长期目标是开发一套全面的标准化肌萎缩侧索硬化症(ALS)临床预测指标，可用于成功地表征、诊断、预测、管理和治疗这种毁灭性的神经退行性疾病。具体地说，这项建议的目标是通过探索在回顾的ALS临床患者记录中记录的测量和数据之间的关系来确定潜在的临床预测因素并确定其优先顺序。这项建议的具体目的是：1) 构建一个多变量的ALS患者数据库，该数据库以患者和每次访问为基础组织原始记录，并将其转换为数据挖掘分析所需的统一结构；2)使用标准的参数/非参数分析以及能够揭示疾病进展的时间变化/模式的新型动态关系分析来评估ALS患者临床测量的相关性。这项R21提案的主要结果是一份有前景的ALS临床预测指标的优先列表，以及在未来的深入统计研究中根据这些指标制定的计划。次要结果是最大、最详细、 以及关于临床肌萎缩侧索硬化症的所有数据集。

DESCRIPTION (provided by applicant): The long-term goal of this project is to develop a comprehensive set of standardized Amyotrophic Lateral Sclerosis (ALS) clinical predictors that can be used to successfully characterize, diagnose, prognose, manage, and treat this devastating neurodegenerative disease. Specifically, the goal of this proposal is to identify and prioritize potential clinical predictors by exploring the relationships among measures and data recorded in retrospective ALS clinic patient records. The specific aims of this proposal are to: 1) Construct a multi-variate relational ALS patient database that organizes and translates raw records, both on a patient and per-visit basis, into unified structures required for data mining analyses; 2) Assess correlations of ALS patient clinic measures using standard parametric/non-parametric analyses as well as novel, dynamic relational analyses capable of revealing temporal changes/patterns with disease progression. The primary outcomes of this R21 proposal are a prioritized list of promising ALS clinical predictors and the developed plans by which to pursue them in future in-depth statistical studies. The secondary outcome is one of the largest, detailed, and all- inclusive data sets on clinical ALS.