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Towards developing diagnostic criteria for early knee osteoarthritis: data from the CHECK study

OBJECTIVES: There is a general consensus that a shift in focus towards early diagnosis and treatment of knee OA is warranted. However, there are no validated and widely accepted diagnostic criteria for early knee OA available. The current study aimed to take the first steps towards developing diagno...

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Autores principales: Runhaar, J, Kloppenburg, M, Boers, M, Bijlsma, J W J, Bierma-Zeinstra, S M A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121451/
https://www.ncbi.nlm.nih.gov/pubmed/33246329
http://dx.doi.org/10.1093/rheumatology/keaa643
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author Runhaar, J
Kloppenburg, M
Boers, M
Bijlsma, J W J
Bierma-Zeinstra, S M A
author_facet Runhaar, J
Kloppenburg, M
Boers, M
Bijlsma, J W J
Bierma-Zeinstra, S M A
author_sort Runhaar, J
collection PubMed
description OBJECTIVES: There is a general consensus that a shift in focus towards early diagnosis and treatment of knee OA is warranted. However, there are no validated and widely accepted diagnostic criteria for early knee OA available. The current study aimed to take the first steps towards developing diagnostic criteria for early knee OA. METHODS: Data of 761 individuals with 1185 symptomatic knees at baseline were selected from the CHECK study. For CHECK, individuals with pain/stiffness of the knee, aged 45–65 years, who had no prior consultation or a first consultation with the general practitioner for these symptoms in the past 6 months were recruited and followed for 10 years. A group of 36 experts (17 general practitioners and 19 secondary care physicians) evaluated the medical records in pairs to diagnose the presence of clinically relevant knee OA 5–10 years after enrolment. A backward selection methods was used to create predictive models based on pre-defined baseline factors from history taking, physical examination, radiography and blood testing, using the experts’ diagnoses as gold standard outcome. RESULTS: Prevalence of clinically relevant knee OA during follow-up was 37%. Created models contained 7–11 baseline factors and obtained an area under the curve between 0.746 (0.002) and 0.764 (0.002). CONCLUSION: The obtained diagnostic models for early knee OA had ‘fair’ predictive ability in individuals presenting with knee pain in primary care. Further modelling and validation of the identified predictive factors is required to obtain clinically feasible and relevant diagnostic criteria for early knee OA.
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spelling pubmed-81214512021-05-19 Towards developing diagnostic criteria for early knee osteoarthritis: data from the CHECK study Runhaar, J Kloppenburg, M Boers, M Bijlsma, J W J Bierma-Zeinstra, S M A Rheumatology (Oxford) Clinical Science OBJECTIVES: There is a general consensus that a shift in focus towards early diagnosis and treatment of knee OA is warranted. However, there are no validated and widely accepted diagnostic criteria for early knee OA available. The current study aimed to take the first steps towards developing diagnostic criteria for early knee OA. METHODS: Data of 761 individuals with 1185 symptomatic knees at baseline were selected from the CHECK study. For CHECK, individuals with pain/stiffness of the knee, aged 45–65 years, who had no prior consultation or a first consultation with the general practitioner for these symptoms in the past 6 months were recruited and followed for 10 years. A group of 36 experts (17 general practitioners and 19 secondary care physicians) evaluated the medical records in pairs to diagnose the presence of clinically relevant knee OA 5–10 years after enrolment. A backward selection methods was used to create predictive models based on pre-defined baseline factors from history taking, physical examination, radiography and blood testing, using the experts’ diagnoses as gold standard outcome. RESULTS: Prevalence of clinically relevant knee OA during follow-up was 37%. Created models contained 7–11 baseline factors and obtained an area under the curve between 0.746 (0.002) and 0.764 (0.002). CONCLUSION: The obtained diagnostic models for early knee OA had ‘fair’ predictive ability in individuals presenting with knee pain in primary care. Further modelling and validation of the identified predictive factors is required to obtain clinically feasible and relevant diagnostic criteria for early knee OA. Oxford University Press 2020-11-27 /pmc/articles/PMC8121451/ /pubmed/33246329 http://dx.doi.org/10.1093/rheumatology/keaa643 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Rheumatology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Clinical Science
Runhaar, J
Kloppenburg, M
Boers, M
Bijlsma, J W J
Bierma-Zeinstra, S M A
Towards developing diagnostic criteria for early knee osteoarthritis: data from the CHECK study
title Towards developing diagnostic criteria for early knee osteoarthritis: data from the CHECK study
title_full Towards developing diagnostic criteria for early knee osteoarthritis: data from the CHECK study
title_fullStr Towards developing diagnostic criteria for early knee osteoarthritis: data from the CHECK study
title_full_unstemmed Towards developing diagnostic criteria for early knee osteoarthritis: data from the CHECK study
title_short Towards developing diagnostic criteria for early knee osteoarthritis: data from the CHECK study
title_sort towards developing diagnostic criteria for early knee osteoarthritis: data from the check study
topic Clinical Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121451/
https://www.ncbi.nlm.nih.gov/pubmed/33246329
http://dx.doi.org/10.1093/rheumatology/keaa643
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