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Chronic pain patients can be classified into four groups: Clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study)

OBJECTIVE: To subgroup chronic pain patients using psychometric data and regress the variables most responsible for subgroup discrimination. DESIGN: Cross-sectional, registry-based study. SETTING AND SUBJECTS: Chronic pain patients assessed at a multidisciplinary pain centre between 2008 and 2015. M...

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Autores principales: Bäckryd, Emmanuel, Persson, Elisabeth B., Larsson, Annelie Inghilesi, Fischer, Marcelo Rivano, Gerdle, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805304/
https://www.ncbi.nlm.nih.gov/pubmed/29420607
http://dx.doi.org/10.1371/journal.pone.0192623
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author Bäckryd, Emmanuel
Persson, Elisabeth B.
Larsson, Annelie Inghilesi
Fischer, Marcelo Rivano
Gerdle, Björn
author_facet Bäckryd, Emmanuel
Persson, Elisabeth B.
Larsson, Annelie Inghilesi
Fischer, Marcelo Rivano
Gerdle, Björn
author_sort Bäckryd, Emmanuel
collection PubMed
description OBJECTIVE: To subgroup chronic pain patients using psychometric data and regress the variables most responsible for subgroup discrimination. DESIGN: Cross-sectional, registry-based study. SETTING AND SUBJECTS: Chronic pain patients assessed at a multidisciplinary pain centre between 2008 and 2015. METHODS: Data from the Swedish quality registry for pain rehabilitation (SQRP) were retrieved and analysed by principal component analysis, hierarchical clustering analysis, and partial least squares–discriminant analysis. RESULTS: Four subgroups were identified. Group 1 was characterized by low “psychological strain”, the best relative situation concerning pain characteristics (intensity and spreading), the lowest frequency of fibromyalgia, as well as by a slightly older age. Group 2 was characterized by high “psychological strain” and by the most negative situation with respect to pain characteristics (intensity and spreading). Group 3 was characterized by high “social distress”, the longest pain durations, and a statistically higher frequency of females. The frequency of three neuropathic pain conditions was generally lower in this group. Group 4 was characterized by high psychological strain, low “social distress”, and high pain intensity. CONCLUSIONS: The identification of these four clusters of chronic pain patients could be useful for the development of personalized rehabilitation programs. For example, the identification of a subgroup characterized mainly by high perceived “social distress” raises the question of how to best design interventions for such patients. Differentiating between clinically important subgroups and comparing how these subgroups respond to interventions is arguably an important area for further research.
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spelling pubmed-58053042018-02-23 Chronic pain patients can be classified into four groups: Clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study) Bäckryd, Emmanuel Persson, Elisabeth B. Larsson, Annelie Inghilesi Fischer, Marcelo Rivano Gerdle, Björn PLoS One Research Article OBJECTIVE: To subgroup chronic pain patients using psychometric data and regress the variables most responsible for subgroup discrimination. DESIGN: Cross-sectional, registry-based study. SETTING AND SUBJECTS: Chronic pain patients assessed at a multidisciplinary pain centre between 2008 and 2015. METHODS: Data from the Swedish quality registry for pain rehabilitation (SQRP) were retrieved and analysed by principal component analysis, hierarchical clustering analysis, and partial least squares–discriminant analysis. RESULTS: Four subgroups were identified. Group 1 was characterized by low “psychological strain”, the best relative situation concerning pain characteristics (intensity and spreading), the lowest frequency of fibromyalgia, as well as by a slightly older age. Group 2 was characterized by high “psychological strain” and by the most negative situation with respect to pain characteristics (intensity and spreading). Group 3 was characterized by high “social distress”, the longest pain durations, and a statistically higher frequency of females. The frequency of three neuropathic pain conditions was generally lower in this group. Group 4 was characterized by high psychological strain, low “social distress”, and high pain intensity. CONCLUSIONS: The identification of these four clusters of chronic pain patients could be useful for the development of personalized rehabilitation programs. For example, the identification of a subgroup characterized mainly by high perceived “social distress” raises the question of how to best design interventions for such patients. Differentiating between clinically important subgroups and comparing how these subgroups respond to interventions is arguably an important area for further research. Public Library of Science 2018-02-08 /pmc/articles/PMC5805304/ /pubmed/29420607 http://dx.doi.org/10.1371/journal.pone.0192623 Text en © 2018 Bäckryd et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bäckryd, Emmanuel
Persson, Elisabeth B.
Larsson, Annelie Inghilesi
Fischer, Marcelo Rivano
Gerdle, Björn
Chronic pain patients can be classified into four groups: Clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study)
title Chronic pain patients can be classified into four groups: Clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study)
title_full Chronic pain patients can be classified into four groups: Clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study)
title_fullStr Chronic pain patients can be classified into four groups: Clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study)
title_full_unstemmed Chronic pain patients can be classified into four groups: Clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study)
title_short Chronic pain patients can be classified into four groups: Clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study)
title_sort chronic pain patients can be classified into four groups: clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a sqrp study)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805304/
https://www.ncbi.nlm.nih.gov/pubmed/29420607
http://dx.doi.org/10.1371/journal.pone.0192623
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