Literature DB >> 21551506

Risk factors predictive of joint replacement in a 2-year multicentre clinical trial in knee osteoarthritis using MRI: results from over 6 years of observation.

Jean-Pierre Raynauld1, Johanne Martel-Pelletier, Boulos Haraoui, Denis Choquette, Marc Dorais, Lukas M Wildi, François Abram, Jean-Pierre Pelletier.   

Abstract

OBJECTIVE: To identify predictive factors for total knee replacement (TKR) using data from MRI of knee osteoarthritis patients in a phase III multicentre disease-modifying osteoarthritis drug (DMOAD) study.
METHODS: Knee osteoarthritis patients from a 2-year clinical trial evaluating licofelone versus naproxen were investigated for the incidence of TKR of the study knee. Patients (n=161) who completed the study according to protocol were selected. Incidence of TKR was assessed blindly to the treatment following telephone interviews (n=123).
RESULTS: 18 TKR (14.6%) were performed in 4-7 years following enrolment in the original study. More TKR were performed within the naproxen than the licofelone group (61% vs 39%, p=0.232). Baseline score of bone marrow lesions (BML) in the medial compartment (p=0.0001), medial joint space width (JSW) as assessed by standardised radiographs (p=0.0008), presence of severe medial meniscal tear (p=0.004), medial meniscal extrusion (p=0.013), and C-reactive protein level (p=0.049) were strong predictors of TKR. Changes at the end of the study also yielded strong predictors: change in cartilage volume of the medial compartment (p=0.005) and of the global knee (p=0.034), reduction in the JSW of greater than 7% (p=0.009), and WOMAC pain (p=0.009) and function (p=0.023) scores. Multivariate analysis showed that baseline severe medial meniscal tear (p=0.023) and presence of medial BML (p=0.025) were the strongest independent long-term predictors of TKR.
CONCLUSION: This study shows that in the context of osteoarthritis trials, clinical data and structural changes identified by MRI allow prediction of a 'hard' outcome such as TKR. The findings support the usefulness and predictive value of MRI in defining study outcome in DMOAD trials.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21551506     DOI: 10.1136/ard.2010.146407

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  31 in total

1.  How do short-term rates of femorotibial cartilage change compare to long-term changes? Four year follow-up data from the osteoarthritis initiative.

Authors:  F Eckstein; C E Mc Culloch; J A Lynch; M Nevitt; C K Kwoh; S Maschek; M Hudelmaier; L Sharma; W Wirth
Journal:  Osteoarthritis Cartilage       Date:  2012-07-16       Impact factor: 6.576

2.  Comparison of radiographic joint space width and magnetic resonance imaging for prediction of knee replacement: A longitudinal case-control study from the Osteoarthritis Initiative.

Authors:  Felix Eckstein; Robert Boudreau; Zhijie Wang; Michael J Hannon; Jeff Duryea; Wolfgang Wirth; Sebastian Cotofana; Ali Guermazi; Frank Roemer; Michael Nevitt; Markus R John; Christoph Ladel; Leena Sharma; David J Hunter; C Kent Kwoh
Journal:  Eur Radiol       Date:  2015-09-16       Impact factor: 5.315

3.  Can structural joint damage measured with MR imaging be used to predict knee replacement in the following year?

Authors:  Frank W Roemer; C Kent Kwoh; Michael J Hannon; David J Hunter; Felix Eckstein; Zhijie Wang; Robert M Boudreau; Markus R John; Michael C Nevitt; Ali Guermazi
Journal:  Radiology       Date:  2014-10-03       Impact factor: 11.105

Review 4.  Imaging of cartilage and bone: promises and pitfalls in clinical trials of osteoarthritis.

Authors:  F Eckstein; A Guermazi; G Gold; J Duryea; M-P Hellio Le Graverand; W Wirth; C G Miller
Journal:  Osteoarthritis Cartilage       Date:  2014-10       Impact factor: 6.576

5.  Trajectory of cartilage loss within 4 years of knee replacement--a nested case-control study from the osteoarthritis initiative.

Authors:  F Eckstein; R M Boudreau; Z Wang; M J Hannon; W Wirth; S Cotofana; A Guermazi; F Roemer; M Nevitt; M R John; C Ladel; L Sharma; D J Hunter; C K Kwoh
Journal:  Osteoarthritis Cartilage       Date:  2014-04-30       Impact factor: 6.576

6.  The relationship between meniscal pathology and osteoarthritis depends on the type of meniscal damage visible on magnetic resonance images: data from the Osteoarthritis Initiative.

Authors:  B Antony; J B Driban; L L Price; G H Lo; R J Ward; M Nevitt; J Lynch; C B Eaton; C Ding; T E McAlindon
Journal:  Osteoarthritis Cartilage       Date:  2016-08-15       Impact factor: 6.576

Review 7.  Clinical and translational potential of MRI evaluation in knee osteoarthritis.

Authors:  Daichi Hayashi; Ali Guermazi; C Kent Kwoh
Journal:  Curr Rheumatol Rep       Date:  2014-01       Impact factor: 4.592

8.  Naproxen induces type X collagen expression in human bone-marrow-derived mesenchymal stem cells through the upregulation of 5-lipoxygenase.

Authors:  Abdulrahman M Alaseem; Padma Madiraju; Sultan A Aldebeyan; Hussain Noorwali; John Antoniou; Fackson Mwale
Journal:  Tissue Eng Part A       Date:  2014-10-23       Impact factor: 3.845

9.  Baseline Cartilage Thickness and Meniscus Extrusion Predict Longitudinal Cartilage Loss by Quantitative Magnetic Resonance Imaging: Data From the Osteoarthritis Initiative.

Authors:  Jason S Klein; Jean Jose; Michael G Baraga; Ty K Subhawong
Journal:  J Comput Assist Tomogr       Date:  2016 Nov/Dec       Impact factor: 1.826

Review 10.  How to define responders in osteoarthritis.

Authors:  Cyrus Cooper; Jonathan D Adachi; Thomas Bardin; Francis Berenbaum; Bruno Flamion; Helgi Jonsson; John A Kanis; Franz Pelousse; Willem F Lems; Jean-Pierre Pelletier; Johanne Martel-Pelletier; Susanne Reiter; Jean-Yves Reginster; René Rizzoli; Olivier Bruyère
Journal:  Curr Med Res Opin       Date:  2013-04-17       Impact factor: 2.580

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.