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.
RCT Entities:
OBJECTIVE: To identify predictive factors for total knee replacement (TKR) using data from MRI of knee osteoarthritispatients in a phase III multicentre disease-modifying osteoarthritis drug (DMOAD) study. METHODS: Knee osteoarthritispatients 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.
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
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
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
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
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
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
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
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