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Association Between Biochemical Markers of Bone Turnover and Bone Changes on Imaging: Data From the Osteoarthritis Initiative
Author(s) -
Deveza Leticia A.,
Kraus Virginia B.,
Collins Jamie E.,
Guermazi Ali,
Roemer Frank W.,
Bowes Michael,
Nevitt Michael C.,
Ladel Christoph,
Hunter David J.
Publication year - 2017
Publication title -
arthritis care and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.032
H-Index - 163
eISSN - 2151-4658
pISSN - 2151-464X
DOI - 10.1002/acr.23121
Subject(s) - n terminal telopeptide , medicine , osteoarthritis , bone remodeling , odds ratio , confidence interval , urinary system , type i collagen , magnetic resonance imaging , urology , pathology , osteocalcin , radiology , alkaline phosphatase , biology , biochemistry , alternative medicine , enzyme
Objective To determine the relationship between biochemical markers involved in bone turnover and bone features on imaging in knees with osteoarthritis (OA). Methods We analyzed data from the Foundation for the National Institutes of Health OA Biomarkers Consortium within the Osteoarthritis Initiative (n = 600). Bone marrow lesions (BMLs), osteophytes, and subchondral bone area (mm 2 ) and shape (position on 3‐D vector) were assessed on magnetic resonance images, and bone trabecular integrity (BTI) was assessed on radiographs. Serum and urinary markers (serum C‐terminal crosslinked telopeptide of type I collagen [CTX‐I], serum crosslinked N‐telopeptide of type I collagen [NTX‐I], urinary NTX‐I, urinary C‐terminal crosslinked telopeptide of type II collagen [CTX‐II], and urinary CTX‐Iα and CTX‐Iβ) were measured. The associations between biochemical and imaging markers at baseline and over 24 months were assessed using regression models adjusted for covariates. Results At baseline, most biochemical markers were associated with BMLs, with C statistics for the presence/absence of any BML ranging from 0.675 to 0.688. At baseline, urinary CTX‐II was the marker most consistently associated with BMLs (with odds of having ≥5 subregions affected compared to no BML increasing by 1.92‐fold [95% confidence interval (95% CI) 1.25, 2.96] per 1 SD of urinary CTX‐II), large osteophytes (odds ratio 1.39 [95% CI 1.10, 1.77]), bone area and shape (highest partial R 2  = 0.032), and changes in bone shape over 24 months (partial R 2 range 0.008 to 0.024). Overall, biochemical markers were not predictive of changes in BMLs or osteophytes. Serum NTX‐I was inversely associated with BTI of the vertical trabeculae (quadratic slope) in all analyses (highest partial R 2  = 0.028). Conclusion We found multiple significant associations, albeit mostly weak ones. The role of systemic biochemical markers as predictors of individual bone anatomic features of single knees is limited based on our findings.

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