Cargando…
Obesity with radiological changes or depression was associated with worse knee outcome in general population: a cluster analysis in the Nagahama study
BACKGROUND: In knee osteoarthritis (OA), pain is the most frequent and dominant symptom. However, which factors other than radiological changes contribute to the symptoms is unresolved. The aims of this study were to identify factors affecting knee pain from various variables with radiological chang...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694310/ https://www.ncbi.nlm.nih.gov/pubmed/33246505 http://dx.doi.org/10.1186/s13075-020-02375-w |
_version_ | 1783614947864870912 |
---|---|
author | Nigoro, Kazuya Ito, Hiromu Kawata, Tomotoshi Nishitani, Kohei Tabara, Yasuharu Matsuda, Fumihiko Narumiya, Shu Matsuda, Shuichi |
author_facet | Nigoro, Kazuya Ito, Hiromu Kawata, Tomotoshi Nishitani, Kohei Tabara, Yasuharu Matsuda, Fumihiko Narumiya, Shu Matsuda, Shuichi |
author_sort | Nigoro, Kazuya |
collection | PubMed |
description | BACKGROUND: In knee osteoarthritis (OA), pain is the most frequent and dominant symptom. However, which factors other than radiological changes contribute to the symptoms is unresolved. The aims of this study were to identify factors affecting knee pain from various variables with radiological changes taken into count and exploratively examine what subgroups or phenotype could be identified by cluster analysis using the identified knee pain factors. METHODS: Patients 60 years or older who underwent radiographic evaluation were included in this cross-sectional study, and those subjects who completed a questionnaire about knee symptoms without missing data were eligible for analysis. Multiple regression analysis was used to examine the associations between selected variables and The Japanese Knee Osteoarthritis Measure (JKOM) pain score. We grouped the subjects by cluster analysis using identified variables. RESULTS: Two thousand five hundred forty-two subjects were included in the full set of analyses. Age, body mass index (BMI), radiological grade, bone mineral density (BMD), and high-sensitivity C-reactive protein (hs-CRP) showed a statistically significant correlation with radiological showing the strongest value. For dichotomous variable, presence of depression showed a statistically significant result. We used BMI, radiological grade, BMD, hs-CRP, and presence of depression as a variable for cluster analysis and identified six subgroups: (1) minimal joint disease subgroup, (2) male and high BMD subgroup, (3) high CRP subgroup, (4) severe radiological OA subgroup, (5) depressive subgroup, and (6) moderate radiological OA with high BMI subgroup, showing the worst knee outcome. CONCLUSION: This study identified the factors affecting knee pain other than radiological changes and identified six subgroups of knee outcome in the general population. The results showed that obesity with radiological changes or depression was associated with worse knee outcome. |
format | Online Article Text |
id | pubmed-7694310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76943102020-11-30 Obesity with radiological changes or depression was associated with worse knee outcome in general population: a cluster analysis in the Nagahama study Nigoro, Kazuya Ito, Hiromu Kawata, Tomotoshi Nishitani, Kohei Tabara, Yasuharu Matsuda, Fumihiko Narumiya, Shu Matsuda, Shuichi Arthritis Res Ther Research Article BACKGROUND: In knee osteoarthritis (OA), pain is the most frequent and dominant symptom. However, which factors other than radiological changes contribute to the symptoms is unresolved. The aims of this study were to identify factors affecting knee pain from various variables with radiological changes taken into count and exploratively examine what subgroups or phenotype could be identified by cluster analysis using the identified knee pain factors. METHODS: Patients 60 years or older who underwent radiographic evaluation were included in this cross-sectional study, and those subjects who completed a questionnaire about knee symptoms without missing data were eligible for analysis. Multiple regression analysis was used to examine the associations between selected variables and The Japanese Knee Osteoarthritis Measure (JKOM) pain score. We grouped the subjects by cluster analysis using identified variables. RESULTS: Two thousand five hundred forty-two subjects were included in the full set of analyses. Age, body mass index (BMI), radiological grade, bone mineral density (BMD), and high-sensitivity C-reactive protein (hs-CRP) showed a statistically significant correlation with radiological showing the strongest value. For dichotomous variable, presence of depression showed a statistically significant result. We used BMI, radiological grade, BMD, hs-CRP, and presence of depression as a variable for cluster analysis and identified six subgroups: (1) minimal joint disease subgroup, (2) male and high BMD subgroup, (3) high CRP subgroup, (4) severe radiological OA subgroup, (5) depressive subgroup, and (6) moderate radiological OA with high BMI subgroup, showing the worst knee outcome. CONCLUSION: This study identified the factors affecting knee pain other than radiological changes and identified six subgroups of knee outcome in the general population. The results showed that obesity with radiological changes or depression was associated with worse knee outcome. BioMed Central 2020-11-27 2020 /pmc/articles/PMC7694310/ /pubmed/33246505 http://dx.doi.org/10.1186/s13075-020-02375-w Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Nigoro, Kazuya Ito, Hiromu Kawata, Tomotoshi Nishitani, Kohei Tabara, Yasuharu Matsuda, Fumihiko Narumiya, Shu Matsuda, Shuichi Obesity with radiological changes or depression was associated with worse knee outcome in general population: a cluster analysis in the Nagahama study |
title | Obesity with radiological changes or depression was associated with worse knee outcome in general population: a cluster analysis in the Nagahama study |
title_full | Obesity with radiological changes or depression was associated with worse knee outcome in general population: a cluster analysis in the Nagahama study |
title_fullStr | Obesity with radiological changes or depression was associated with worse knee outcome in general population: a cluster analysis in the Nagahama study |
title_full_unstemmed | Obesity with radiological changes or depression was associated with worse knee outcome in general population: a cluster analysis in the Nagahama study |
title_short | Obesity with radiological changes or depression was associated with worse knee outcome in general population: a cluster analysis in the Nagahama study |
title_sort | obesity with radiological changes or depression was associated with worse knee outcome in general population: a cluster analysis in the nagahama study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694310/ https://www.ncbi.nlm.nih.gov/pubmed/33246505 http://dx.doi.org/10.1186/s13075-020-02375-w |
work_keys_str_mv | AT nigorokazuya obesitywithradiologicalchangesordepressionwasassociatedwithworsekneeoutcomeingeneralpopulationaclusteranalysisinthenagahamastudy AT itohiromu obesitywithradiologicalchangesordepressionwasassociatedwithworsekneeoutcomeingeneralpopulationaclusteranalysisinthenagahamastudy AT kawatatomotoshi obesitywithradiologicalchangesordepressionwasassociatedwithworsekneeoutcomeingeneralpopulationaclusteranalysisinthenagahamastudy AT nishitanikohei obesitywithradiologicalchangesordepressionwasassociatedwithworsekneeoutcomeingeneralpopulationaclusteranalysisinthenagahamastudy AT tabarayasuharu obesitywithradiologicalchangesordepressionwasassociatedwithworsekneeoutcomeingeneralpopulationaclusteranalysisinthenagahamastudy AT matsudafumihiko obesitywithradiologicalchangesordepressionwasassociatedwithworsekneeoutcomeingeneralpopulationaclusteranalysisinthenagahamastudy AT narumiyashu obesitywithradiologicalchangesordepressionwasassociatedwithworsekneeoutcomeingeneralpopulationaclusteranalysisinthenagahamastudy AT matsudashuichi obesitywithradiologicalchangesordepressionwasassociatedwithworsekneeoutcomeingeneralpopulationaclusteranalysisinthenagahamastudy AT obesitywithradiologicalchangesordepressionwasassociatedwithworsekneeoutcomeingeneralpopulationaclusteranalysisinthenagahamastudy |