Literature DB >> 32249039

Clinical and biochemical factors associated with risk of total joint replacement and radiographic progression in osteoarthritis: Data from two phase III clinical trials.

Asger Reinstrup Bihlet1, Jonathan Jetsmark Bjerre-Bastos2, Jeppe Ragnar Andersen3, Inger Byrjalsen3, Morten Asser Karsdal4, Anne-Christine Bay-Jensen4.   

Abstract

OBJECTIVES: Clinical trials of new disease-modifying treatments for osteoarthritis should demonstrate a positive effect on a functional outcome or reduction in joint failure in order to be considered successful. Total joint replacement (TJR) surgery may be considered as joint failure, but great variation in the incidence of TJR complicates its use as a study endpoint. Factors predicting elevated risk of TJR could potentially be used to enrich such outcome-trials.
METHODS: Using cumulative data from two phase three clinical trials with urine samples from 1255 knee OA patients followed for two years, we assessed the value of a series of baseline clinical variables including the uCTX-II biomarker, as predictors of joint-space narrowing, Kellgren-Lawrence-grade progression, and total joint replacement.
RESULTS: A prediction-model incorporating age, sex, BMI, CTX-II and KL-grade predicted TJR within the two-year period with an AUC of 0.75 (95% CI: 0.72-0.77). The participants with a cumulative KL-grade between knees of 5, 6, or 7 had a more than 3 times higher risk of TJR in the study period compared to lower (HR: 3.03, 95% CI: 1.54 to 5.96, p = 0.001). Age was associated with increased TJR risk (per 5 years of age: HR: 1.28, 95% CI: 1.03-3.79, p = 0.05). Baseline u-CTX-II was associated with elevated risk of radiographic progression in terms of both JSN and KL-grade.
CONCLUSIONS: A composite model combining baseline age, sex, BMI, u-CTX-II and KL-grade was able to acceptably predict TJR during a two-year period. In the absence of baseline radiographic OA severity, u-CTX-II independently contributed to prediction of TJR. Baseline urine CTX-II was associated with risk of radiographic progression.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarkers; Joint replacement; Progression

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Year:  2020        PMID: 32249039     DOI: 10.1016/j.semarthrit.2020.03.002

Source DB:  PubMed          Journal:  Semin Arthritis Rheum        ISSN: 0049-0172            Impact factor:   5.532


  2 in total

1.  Multivariable logistic and linear regression models for identification of clinically useful biomarkers for osteoarthritis.

Authors:  Yulia Liem; Andrew Judge; John Kirwan; Khadija Ourradi; Yunfei Li; Mohammed Sharif
Journal:  Sci Rep       Date:  2020-07-09       Impact factor: 4.379

2.  Associations between single-question Visual Analogue Scale pain score and weight-bearing and non-weight-bearing domains of Western Ontario and McMaster Universities Arthritis Index pain: data from 2 phase 3 clinical trials.

Authors:  Jonathan J Bjerre-Bastos; Claire P Miller; Yanqi Li; Jeppe R Andersen; Morten Karsdal; Asger R Bihlet
Journal:  Pain Rep       Date:  2022-08-05
  2 in total

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