Identification of symptom and functional domains that fibromyalgia patients would like to see improved: a cluster analysis.

ABSTRACT:

Background

The purpose of this study was to determine whether some of the clinical features of fibromyalgia (FM) that patients would like to see improved aggregate into definable clusters.

Methods

Seven hundred and eighty-eight patients with clinically confirmed FM and baseline pain > or =40 mm on a 100 mm visual analogue scale ranked 5 FM clinical features that the subjects would most like to see improved after treatment (one for each priority quintile) from a list of 20 developed during focus groups. For each subject, clinical features were transformed into vectors with rankings assigned values 1-5 (lowest to highest ranking). Logistic analysis was used to create a distance matrix and hierarchical cluster analysis was applied to identify cluster structure. The frequency of

SUBMITTER: Bennett RM 

PROVIDER: S-EPMC2908076 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature