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Pain and Fatigue Variability Patterns Distinguish Subgroups of Fibromyalgia Patients

  • Emily J. Bartley
    Correspondence
    Address reprint requests to Emily J. Bartley, PhD, University of Florida, College of Dentistry, Pain Research and Intervention Center of Excellence, 1329 SW 16th St., Suite 5192, Gainesville, FL 32610.
    Affiliations
    Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, Florida

    Pain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, Florida
    Search for articles by this author
  • Michael E. Robinson
    Affiliations
    Pain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, Florida

    Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida

    Center for Pain Research and Behavioral Health, University of Florida, Gainesville, Florida
    Search for articles by this author
  • Roland Staud
    Affiliations
    Pain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, Florida

    Department of Medicine, University of Florida, Gainesville, Florida
    Search for articles by this author
Published:December 15, 2017DOI:https://doi.org/10.1016/j.jpain.2017.11.014

      Highlights

      • Fibromyalgia patients experience daily variability in pain, fatigue, and mood.
      • Differences in pain and social functioning emerged across variability clusters.
      • Targeting symptom variability may be an important clinical initiative.

      Abstract

      The current study examined between- and within-subject variability in pain-related symptoms as predictors of pain and fatigue, and identified patient subgroups on the basis of symptom variability characteristics. Two hundred fifty-six fibromyalgia (FM) patients completed daily diaries up to a period of 154 days and reported on symptoms of pain intensity, pain unpleasantness, fatigue, anxiety, and depressed mood. Measures of health status, quality of life, and somatic symptoms were obtained at baseline, and hierarchical linear modeling and cluster analyses were used. Significant intra- and interindividual variability in daily FM symptoms was observed. Higher levels of pain were associated with greater fluctuations in pain unpleasantness, fatigue, and depressed mood. Similar effects were observed for fatigue and individual variability in anxiety also emerged as a robust predictor. Three FM subgroups were revealed: low variability in symptoms (cluster 1), high symptom variability (cluster 2), and a mixed variability group characterized by low fluctuation in pain unpleasantness; moderate pain, fatigue, and depressed mood variability; and high anxiety variability (cluster 3). Cluster 3 exhibited lower social functioning and higher levels of pain, compared with cluster 1. These findings support the dynamic nature of FM pain and suggest the presence of FM subgroups on the basis of variation in mood and pain symptomatology.

      Perspective

      FM patients show significant intra- and interindividual variability in pain, mood, and fatigue. Subgroups in mood and pain-related variability emerged, with phenotypic clusters differing across levels of pain intensity and social functioning. Better understanding of the processes affecting pain variability may facilitate targeted treatments for the control of pain.

      Key words

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