Exploring Natural Clusters of Chronic Migraine Phenotypes: A Cross-Sectional Clinical Study.

ABSTRACT: Heterogeneity in chronic migraine (CM) presents significant challenge for diagnosis, management, and clinical trials. To explore naturally occurring clusters of CM, we utilized data reduction methods on migraine-related clinical dataset. Hierarchical agglomerative clustering and principal component analyses (PCA) were conducted to identify natural clusters in 100 CM patients using 14 migraine-related clinical variables. Three major clusters were identified. Cluster I (29 patients) - the severely impacted patient featured highest levels of depression and migraine-related disability. Cluster II (28 patients) - the minimally impacted patient exhibited highest levels of self-efficacy and exercise. Cluster III (43 patients) - the moderately impacted patient showed features ranging between Clust

SUBMITTER: Woldeamanuel YW 

PROVIDER: S-EPMC7028739 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature