Classification of circadian pain rhythms and pain characteristics in chronic pain patients: An observational study

Medicine (Baltimore). 2021 Jun 25;100(25):e26500. doi: 10.1097/MD.0000000000026500.

Abstract

This study aimed to perform cluster analysis in patients with chronic pain to extract groups with similar circadian rhythms and compare neuropathic pain and psychological factors among these groups to identify differences in pain-related outcomes. A total of 63 community-dwellers with pain lasting at least 3 months and Numerical Rating Scale scores of ≥2 were recruited from 3 medical institutions. Their pain circadian rhythms were evaluated over 7 days by measuring pain intensity at 6-time points per day using a 10-cm visual analog scale. Cluster analysis was performed using 6 variables with standardized visual analog scale values at 6-time points for individual participants to extract groups with similar pain circadian rhythms. The results of the Neuropathic Pain Symptom Inventory and psychological evaluations in each group were compared using the Kruskal-Wallis test. The results revealed 3 clusters with different circadian rhythms of pain. The total and evoked pain subscale Neuropathic Pain Symptom Inventory scores differed among the 3 clusters. The results suggest that a thorough understanding of circadian pain rhythms in chronic pain patients may facilitate the performance of activities of daily living and physical exercise from the perspective of pain management.

Publication types

  • Comparative Study
  • Observational Study

MeSH terms

  • Activities of Daily Living
  • Aged
  • Aged, 80 and over
  • Chronic Pain / diagnosis*
  • Chronic Pain / physiopathology
  • Chronic Pain / psychology
  • Chronic Pain / therapy
  • Chronotherapy / methods
  • Circadian Rhythm / physiology*
  • Exercise Therapy / methods
  • Female
  • Humans
  • Independent Living
  • Male
  • Middle Aged
  • Neuralgia / diagnosis*
  • Neuralgia / physiopathology
  • Neuralgia / psychology
  • Neuralgia / therapy
  • Pain Management / methods
  • Pain Measurement / statistics & numerical data
  • Psychometrics
  • Statistics, Nonparametric
  • Surveys and Questionnaires / statistics & numerical data