Correlations between @entity239 symptom and function domains and XXXX global impression of change: a pooled analysis of three randomized, placebo-controlled trials of @entity4481 .

@entity1 @entity239 @entity308 @entity148 @entity158 @entity4481 @entity734 @entity25
OBJECTIVE: The objective of the study was to conduct an analysis of pooled data from @entity4481 @entity239 clinical trials to determine which @entity239 symptom and function domains drive @entity1 perception of improvement. DESIGN: Data from three double-blind, placebo-controlled trials of @entity4481 in @entity239 @entity1 were pooled for this analysis. Changes in independent variables, including the Medical Outcomes Study 36-item Short-Form Health Survey, Medical Outcomes Study-Sleep Scale, sleep quality score from the daily sleep diary, @entity158 score from the daily @entity158 diary, @entity239 Impact Questionnaire, and Multidimensional Assessment of Fatigue were analyzed as predictors of outcome on the dependent variable, @entity1 Global Impression of Change (PGIC). Correlation analysis assessed relationships between the independent variables and PGIC. Cluster analysis identified @entity734 among variables, and a shrinkage and selection method and stepwise logistic regression determined rank order of variables. RESULTS: Improvement in PGIC at endpoint showed highest correlation with @entity158 improvement, fatigue, sleep, and work and physical function (0.4 < r < 0.6). Cluster analysis identified three main clusters of symptoms at endpoint: mood ( @entity148 and @entity308 ), @entity158 and sleep, and function and fatigue. @entity158 was ranked as the most important outcome explaining variability in PGIC, followed by @entity25 . CONCLUSIONS: @entity158 , fatigue, and sleep associate most strongly with improvement in PGIC. Physical- and work-related function also correlated with @entity1 ' overall assessment of improvement. These domains and their respective outcome measures can be used to improve assessment of @entity1 ' response to treatment.
