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Classification of circadian pain rhythms and pain characteristics in chronic pain patients: An observational study
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 a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238338/ https://www.ncbi.nlm.nih.gov/pubmed/34160466 http://dx.doi.org/10.1097/MD.0000000000026500 |
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author | Tanaka, Yoichi Shigetoh, Hayato Sato, Gosuke Fujii, Ren Imai, Ryota Osumi, Michihiro Morioka, Shu |
author_facet | Tanaka, Yoichi Shigetoh, Hayato Sato, Gosuke Fujii, Ren Imai, Ryota Osumi, Michihiro Morioka, Shu |
author_sort | Tanaka, Yoichi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8238338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-82383382021-07-06 Classification of circadian pain rhythms and pain characteristics in chronic pain patients: An observational study Tanaka, Yoichi Shigetoh, Hayato Sato, Gosuke Fujii, Ren Imai, Ryota Osumi, Michihiro Morioka, Shu Medicine (Baltimore) 5300 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. Lippincott Williams & Wilkins 2021-06-25 /pmc/articles/PMC8238338/ /pubmed/34160466 http://dx.doi.org/10.1097/MD.0000000000026500 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | 5300 Tanaka, Yoichi Shigetoh, Hayato Sato, Gosuke Fujii, Ren Imai, Ryota Osumi, Michihiro Morioka, Shu Classification of circadian pain rhythms and pain characteristics in chronic pain patients: An observational study |
title | Classification of circadian pain rhythms and pain characteristics in chronic pain patients: An observational study |
title_full | Classification of circadian pain rhythms and pain characteristics in chronic pain patients: An observational study |
title_fullStr | Classification of circadian pain rhythms and pain characteristics in chronic pain patients: An observational study |
title_full_unstemmed | Classification of circadian pain rhythms and pain characteristics in chronic pain patients: An observational study |
title_short | Classification of circadian pain rhythms and pain characteristics in chronic pain patients: An observational study |
title_sort | classification of circadian pain rhythms and pain characteristics in chronic pain patients: an observational study |
topic | 5300 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238338/ https://www.ncbi.nlm.nih.gov/pubmed/34160466 http://dx.doi.org/10.1097/MD.0000000000026500 |
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