Early pre-radiographic structural pathology precedes the onset of accelerated knee osteoarthritis
Authors
Harkey, Matthew S.Davis, Julie E.
Lu, Bing
Price, Lori Lyn
Ward, Robert J.
MacKay, James W.
Eaton, Charles B.
Lo, Grace H.
Barbe, Mary F.
Zhang, Ming
Pang, Jincheng
Stout, Alina C.
McAlindon, Timothy E.
Driban, Jeffrey B.
UMass Chan Affiliations
Department of Population and Quantitative Health SciencesDocument Type
Journal ArticlePublication Date
2019-05-22Keywords
Bone marrow lesionCartilage
Effusion-synovitis
Extensor mechanism
Ligament
MRI
Meniscus
Tendons
UMCCTS funding
Musculoskeletal Diseases
Musculoskeletal, Neural, and Ocular Physiology
Musculoskeletal System
Pathological Conditions, Signs and Symptoms
Pathology
Radiology
Metadata
Show full item recordAbstract
BACKGROUND: Accelerated knee osteoarthritis (AKOA) is characterized by more pain, impaired physical function, and greater likelihood to receive a joint replacement compared to individuals who develop the typical gradual onset of disease. Prognostic tools are needed to determine which structural pathologies precede the development of AKOA compared to individuals without AKOA. Therefore, the purpose of this manuscript was to determine which pre-radiographic structural features precede the development of AKOA. METHODS: The sample comprised participants in the Osteoarthritis Initiative (OAI) who had at least one radiographically normal knee at baseline (Kellgren-Lawrence [KL] grade < 1). Participants were classified into 2 groups based on radiographic progression from baseline to 48 months: AKOA (KL grade change from < 1 to > 3) and No AKOA. The index visit was the study visit when participants met criteria for AKOA or a matched timepoint for those who did not develop AKOA. Magnetic resonance (MR) images were assessed for 12 structural features at the OAI baseline, and 1 and 2 years prior to the index visit. Separate logistic regression models (i.e. OAI baseline, 1 and 2 years prior) were used to determine which pre-radiographic structural features were more likely to antedate the development of AKOA compared to individuals not developing AKOA. RESULTS: At the OAI baseline visit, degenerative cruciate ligaments (Odds Ratio [OR] = 2.2, 95% Confidence Interval [CI] = 1.3,3.5), infrapatellar fat pad signal intensity alteration (OR = 2.0, 95%CI = 1.2,3.2), medial/lateral meniscal pathology (OR = 2.1/2.4, 95%CI = 1.3,3.4/1.5,3.8), and greater quantitative knee effusion-synovitis (OR = 2.2, 95%CI = 1.4,3.4) were more likely to antedate the development of AKOA when compared to those that did not develop AKOA. These results were similar at one and two years prior to disease onset. Additionally, medial meniscus extrusion at one year prior to disease onset (OR = 3.5, 95%CI = 2.1,6.0) increased the likelihood of developing AKOA. CONCLUSIONS: Early ligamentous degeneration, effusion/synovitis, and meniscal pathology precede the onset of AKOA and may be prognostic biomarkers.Source
BMC Musculoskelet Disord. 2019 May 22;20(1):241. doi: 10.1186/s12891-019-2624-y. Link to article on publisher's site
DOI
10.1186/s12891-019-2624-yPermanent Link to this Item
http://hdl.handle.net/20.500.14038/41049PubMed ID
31113401Related Resources
Rights
© The Author(s). 2019 Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.Distribution License
http://creativecommons.org/licenses/by/4.0/ae974a485f413a2113503eed53cd6c53
10.1186/s12891-019-2624-y
Scopus Count
Except where otherwise noted, this item's license is described as © The Author(s). 2019 Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.