Distinct patterns of variation in the distribution of knee pain

Shellie Boudreau, Albert Royo, Mark Matthews, Thomas Graven-Nielsen, Ernest Kamavuako, Greg Slabaugh, Kristian Thorborg, Bill Vicenzino, Michael Rathleff

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.
LanguageEnglish
Number of pages12
JournalScientific Reports
Volume8
Issue number1
DOIs
Publication statusPublished - Nov 2018

Fingerprint

Knee
Pain
Patella
Principal Component Analysis
Cluster Analysis

Cite this

Boudreau, S., Royo, A., Matthews, M., Graven-Nielsen, T., Kamavuako, E., Slabaugh, G., ... Rathleff, M. (2018). Distinct patterns of variation in the distribution of knee pain. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-34950-2
Boudreau, Shellie ; Royo, Albert ; Matthews, Mark ; Graven-Nielsen, Thomas ; Kamavuako, Ernest ; Slabaugh, Greg ; Thorborg, Kristian ; Vicenzino, Bill ; Rathleff, Michael. / Distinct patterns of variation in the distribution of knee pain. In: Scientific Reports. 2018 ; Vol. 8, No. 1.
@article{3ff945af48cc4b31a0d4bb81f00dfb0c,
title = "Distinct patterns of variation in the distribution of knee pain",
abstract = "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.",
author = "Shellie Boudreau and Albert Royo and Mark Matthews and Thomas Graven-Nielsen and Ernest Kamavuako and Greg Slabaugh and Kristian Thorborg and Bill Vicenzino and Michael Rathleff",
year = "2018",
month = "11",
doi = "10.1038/s41598-018-34950-2",
language = "English",
volume = "8",
journal = "Scientific Reports",
issn = "2045-2322",
number = "1",

}

Boudreau, S, Royo, A, Matthews, M, Graven-Nielsen, T, Kamavuako, E, Slabaugh, G, Thorborg, K, Vicenzino, B & Rathleff, M 2018, 'Distinct patterns of variation in the distribution of knee pain', Scientific Reports, vol. 8, no. 1. https://doi.org/10.1038/s41598-018-34950-2

Distinct patterns of variation in the distribution of knee pain. / Boudreau, Shellie; Royo, Albert; Matthews, Mark; Graven-Nielsen, Thomas; Kamavuako, Ernest; Slabaugh, Greg; Thorborg, Kristian; Vicenzino, Bill; Rathleff, Michael.

In: Scientific Reports, Vol. 8, No. 1, 11.2018.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Distinct patterns of variation in the distribution of knee pain

AU - Boudreau, Shellie

AU - Royo, Albert

AU - Matthews, Mark

AU - Graven-Nielsen, Thomas

AU - Kamavuako, Ernest

AU - Slabaugh, Greg

AU - Thorborg, Kristian

AU - Vicenzino, Bill

AU - Rathleff, Michael

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

U2 - 10.1038/s41598-018-34950-2

DO - 10.1038/s41598-018-34950-2

M3 - Article

VL - 8

JO - Scientific Reports

T2 - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

ER -