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Unique features of central neuropathic pain in multiple sclerosis: Results of a cluster analysis
BACKGROUND: Central neuropathic pain (CNP) is an excruciating condition, prevalent in up to a third of patients with multiple sclerosis (MS). Identifying CNP among MS patients is particularly challenging considering the ample comorbid chronic pain conditions and sensory disturbances entailed by the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313873/ https://www.ncbi.nlm.nih.gov/pubmed/35263811 http://dx.doi.org/10.1002/ejp.1934 |
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author | Rivel, Michal Achiron, Anat Dolev, Mark Stern, Yael Zeilig, Gabi Defrin, Ruth |
author_facet | Rivel, Michal Achiron, Anat Dolev, Mark Stern, Yael Zeilig, Gabi Defrin, Ruth |
author_sort | Rivel, Michal |
collection | PubMed |
description | BACKGROUND: Central neuropathic pain (CNP) is an excruciating condition, prevalent in up to a third of patients with multiple sclerosis (MS). Identifying CNP among MS patients is particularly challenging considering the ample comorbid chronic pain conditions and sensory disturbances entailed by the disease. The aim was to identify sensory features unique to CNP beyond those of chronic pain and MS. METHODS: Participants were 112 MS patients: 44 with a diagnosis of CNP, 28 with a diagnosis of chronic musculoskeletal pain (MSP), and 40 pain free. Participants underwent testing of thermal and mechanical thresholds, thermal grill illusion (TGI), pain adaptation (PA), and offset analgesia (OA), and chronic pain was characterized. A two‐step cluster analysis was performed, and the association between the cluster membership and the clinical group membership (CNP, MSP, pain free) was evaluated. RESULTS: The CNP and MSP groups were similar in most of the chronic pain variables (e.g., severity, location and quality) and MS‐related variables (e.g., type, severity and medication intake). The three created clusters had unique sensory features: (1) ‘Hyposensitivity’ (increased thermal and touch thresholds) characterized the CNP group; (2) ‘Poor inhibition and hyperalgesia’ (worst PA and OA and decreased TGI threshold) characterized the MSP group; and (3) ‘Efficient inhibition’ (best PA and OA, smallest sensory loss) characterized the pain‐free group. CONCLUSIONS: The unique sensory features of CNP and MSP provide insight into their pathophysiology, and evaluating them may increase the ability to provide individually based interventions. Efficient inhibition may protect MS patients from chronic pain. SIGNIFICANCE: Cluster analysis among patients with multiple sclerosis (MS) revealed that while central neuropathic pain is associated with thermal and mechanical hypoesthesia, musculoskeletal pain is involved with reduced pain inhibition and hyperalgesia; sensory profiles that provide insights into the mechanisms of these conditions and may promote an individually based pain management. |
format | Online Article Text |
id | pubmed-9313873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93138732022-07-30 Unique features of central neuropathic pain in multiple sclerosis: Results of a cluster analysis Rivel, Michal Achiron, Anat Dolev, Mark Stern, Yael Zeilig, Gabi Defrin, Ruth Eur J Pain Original Articles BACKGROUND: Central neuropathic pain (CNP) is an excruciating condition, prevalent in up to a third of patients with multiple sclerosis (MS). Identifying CNP among MS patients is particularly challenging considering the ample comorbid chronic pain conditions and sensory disturbances entailed by the disease. The aim was to identify sensory features unique to CNP beyond those of chronic pain and MS. METHODS: Participants were 112 MS patients: 44 with a diagnosis of CNP, 28 with a diagnosis of chronic musculoskeletal pain (MSP), and 40 pain free. Participants underwent testing of thermal and mechanical thresholds, thermal grill illusion (TGI), pain adaptation (PA), and offset analgesia (OA), and chronic pain was characterized. A two‐step cluster analysis was performed, and the association between the cluster membership and the clinical group membership (CNP, MSP, pain free) was evaluated. RESULTS: The CNP and MSP groups were similar in most of the chronic pain variables (e.g., severity, location and quality) and MS‐related variables (e.g., type, severity and medication intake). The three created clusters had unique sensory features: (1) ‘Hyposensitivity’ (increased thermal and touch thresholds) characterized the CNP group; (2) ‘Poor inhibition and hyperalgesia’ (worst PA and OA and decreased TGI threshold) characterized the MSP group; and (3) ‘Efficient inhibition’ (best PA and OA, smallest sensory loss) characterized the pain‐free group. CONCLUSIONS: The unique sensory features of CNP and MSP provide insight into their pathophysiology, and evaluating them may increase the ability to provide individually based interventions. Efficient inhibition may protect MS patients from chronic pain. SIGNIFICANCE: Cluster analysis among patients with multiple sclerosis (MS) revealed that while central neuropathic pain is associated with thermal and mechanical hypoesthesia, musculoskeletal pain is involved with reduced pain inhibition and hyperalgesia; sensory profiles that provide insights into the mechanisms of these conditions and may promote an individually based pain management. John Wiley and Sons Inc. 2022-03-22 2022-05 /pmc/articles/PMC9313873/ /pubmed/35263811 http://dx.doi.org/10.1002/ejp.1934 Text en © 2022 The Authors. European Journal of Pain published by John Wiley & Sons Ltd on behalf of European Pain Federation ‐ EFIC ® https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Rivel, Michal Achiron, Anat Dolev, Mark Stern, Yael Zeilig, Gabi Defrin, Ruth Unique features of central neuropathic pain in multiple sclerosis: Results of a cluster analysis |
title | Unique features of central neuropathic pain in multiple sclerosis: Results of a cluster analysis |
title_full | Unique features of central neuropathic pain in multiple sclerosis: Results of a cluster analysis |
title_fullStr | Unique features of central neuropathic pain in multiple sclerosis: Results of a cluster analysis |
title_full_unstemmed | Unique features of central neuropathic pain in multiple sclerosis: Results of a cluster analysis |
title_short | Unique features of central neuropathic pain in multiple sclerosis: Results of a cluster analysis |
title_sort | unique features of central neuropathic pain in multiple sclerosis: results of a cluster analysis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313873/ https://www.ncbi.nlm.nih.gov/pubmed/35263811 http://dx.doi.org/10.1002/ejp.1934 |
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