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Distinct patterns of variation in the distribution of knee pain
The patient’s expression of pain using digital-body maps expands analytic opportunities for exploring the spatial variation of bodily pain. A common knee pain condition in adolescents and adults is patellofemoral pain (PFP) and recently PFP was shown to be characterized by a heterogeneous distributi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224396/ https://www.ncbi.nlm.nih.gov/pubmed/30410031 http://dx.doi.org/10.1038/s41598-018-34950-2 |
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author | Boudreau, Shellie A. Royo, Albert Cid Matthews, Mark Graven-Nielsen, Thomas Kamavuako, Ernest N. Slabaugh, Greg Thorborg, Kristian Vicenzino, Bill Rathleff, Michael Skovdal |
author_facet | Boudreau, Shellie A. Royo, Albert Cid Matthews, Mark Graven-Nielsen, Thomas Kamavuako, Ernest N. Slabaugh, Greg Thorborg, Kristian Vicenzino, Bill Rathleff, Michael Skovdal |
author_sort | Boudreau, Shellie A. |
collection | PubMed |
description | The patient’s expression of pain using digital-body maps expands analytic opportunities for exploring the spatial variation of bodily pain. A common knee pain condition in adolescents and adults is patellofemoral pain (PFP) and recently PFP was shown to be characterized by a heterogeneous distribution of pain. Whether there are important patterns in these distributions remains unclear. This pioneering study assesses the spatial variation of pain using principal component analysis and a clustering approach. Detailed digital-body maps of knee pain were drawn by 299 PFP patients of mixed sex, age, and pain severity. Three pain distribution patterns emerged resembling an Anchor, Hook, and an Ovate shape on and around the patella. The variations in pain distribution were independent of sex, age, and pain intensity. Bilateral pain associated with a longer duration of pain and the majority characterized by the Hook and Ovate pain distributions. Bilateral and/or symmetrical pain between the left and right knees may represent symptoms associated with longstanding PFP. The distinct patterns of pain location and area suggest specific underlying structures cannot be ruled out as important drivers, although central neuronal mechanisms possibly exemplified by the symmetrical representation of pain may play a role in individuals with longstanding symptoms. |
format | Online Article Text |
id | pubmed-6224396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62243962018-11-13 Distinct patterns of variation in the distribution of knee pain Boudreau, Shellie A. Royo, Albert Cid Matthews, Mark Graven-Nielsen, Thomas Kamavuako, Ernest N. Slabaugh, Greg Thorborg, Kristian Vicenzino, Bill Rathleff, Michael Skovdal Sci Rep Article The patient’s expression of pain using digital-body maps expands analytic opportunities for exploring the spatial variation of bodily pain. A common knee pain condition in adolescents and adults is patellofemoral pain (PFP) and recently PFP was shown to be characterized by a heterogeneous distribution of pain. Whether there are important patterns in these distributions remains unclear. This pioneering study assesses the spatial variation of pain using principal component analysis and a clustering approach. Detailed digital-body maps of knee pain were drawn by 299 PFP patients of mixed sex, age, and pain severity. Three pain distribution patterns emerged resembling an Anchor, Hook, and an Ovate shape on and around the patella. The variations in pain distribution were independent of sex, age, and pain intensity. Bilateral pain associated with a longer duration of pain and the majority characterized by the Hook and Ovate pain distributions. Bilateral and/or symmetrical pain between the left and right knees may represent symptoms associated with longstanding PFP. The distinct patterns of pain location and area suggest specific underlying structures cannot be ruled out as important drivers, although central neuronal mechanisms possibly exemplified by the symmetrical representation of pain may play a role in individuals with longstanding symptoms. Nature Publishing Group UK 2018-11-08 /pmc/articles/PMC6224396/ /pubmed/30410031 http://dx.doi.org/10.1038/s41598-018-34950-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Boudreau, Shellie A. Royo, Albert Cid Matthews, Mark Graven-Nielsen, Thomas Kamavuako, Ernest N. Slabaugh, Greg Thorborg, Kristian Vicenzino, Bill Rathleff, Michael Skovdal Distinct patterns of variation in the distribution of knee pain |
title | Distinct patterns of variation in the distribution of knee pain |
title_full | Distinct patterns of variation in the distribution of knee pain |
title_fullStr | Distinct patterns of variation in the distribution of knee pain |
title_full_unstemmed | Distinct patterns of variation in the distribution of knee pain |
title_short | Distinct patterns of variation in the distribution of knee pain |
title_sort | distinct patterns of variation in the distribution of knee pain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224396/ https://www.ncbi.nlm.nih.gov/pubmed/30410031 http://dx.doi.org/10.1038/s41598-018-34950-2 |
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