最小临床重要差异
认知
物理医学与康复
疾病
医学
退行性疾病
功能(生物学)
物理疗法
中枢神经系统疾病
口译(哲学)
心理学
日常生活
帕金森病
认知障碍
疾病严重程度
认知心理学
梅德林
认知老化
情感(语言学)
认知障碍
认知功能衰退
作者
Cali M. Roiboit,Douglas R. Langbehn,Julie C. Stout
摘要
BACKGROUND: Cognitive measures in Huntington's disease (HD) play an important role in clinical trial endpoint strategies; however, clinically meaningful change in these measures is difficult to interpret. Cognition is a key predictor of function, and measures of functional capacity can be used as anchors to determine minimally clinically important differences (MCID) on measures of cognition. OBJECTIVES: We aimed to estimate the MCID for cognitive measures commonly used in clinical research using two functional capacity measures as anchors. We also compared MCID estimates made using functional capacity as an anchor to those made using the health impairment measured on the 12-item short-form health survey. METHODS: We analyzed data from the Enroll-HD study using participants with Stage 2 and Stage 3 HD using the HD Integrated Staging System. We estimated MCID scores using linear mixed-effects regression at 12-, 24-, and 36-months using the smallest measurable change in functional capacity on each measure as anchors. RESULTS: The amount of change in cognitive measures associated with functionally meaningful decline was larger as disease progressed and time frames increased, p < 0.05. MCID estimates made using measures of function as anchors were generally comparable to those made using health impairment, although those made using health impairment were generally larger at 36 months, p < 0.05. CONCLUSIONS: MCID estimates differed between disease stages and over different time frames. Using measures of everyday function as anchors to estimate MCID thresholds on these measures will aid the interpretation of how cognitive change translates to important change in everyday life. © 2026 International Parkinson and Movement Disorder Society.
科研通智能强力驱动
Strongly Powered by AbleSci AI