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Spine

ENDPLATE DAMAGE IS HERITABLE, IS INDEPENDENTLY ASSOCIATED WITH LOW BACK PAIN AND MAY TRIGGER INTERVERTEBRAL DISC DEGENERATION: A LONGITUDINAL STUDY FROM TWINSUK

The Society for Back Pain Research (SBPR) 2018 Meeting, Groningen, The Netherlands, 15–16 November 2018.



Abstract

Background

Endplate defect is an MRI trait, found to be associated with intervertebral disc degeneration. There is a lack of understanding regarding the mechanism underlying lumbar disc degeneration (LDD). This large-scale longitudinal population-based study aimed to determine the order of appearance of degenerative change in the vertebral body and intervertebral disc, the influence of endplate degeneration on LBP and whether there is a genetic influence on endplate damage.

Methods

Individuals from the TwinsUK spine study having longitudinal T2-weighted lumbar MRI scans at baseline (n=996) and a decade later (n=438) were included. LDD, vertebral endplate defect expressed as a total endplate (TEP) score and Modic change (MC) were assessed using standard techniques. Mixed-effects models were used to determine the association between spine pathology features adjusted for covariates. Endplate defect heritability was estimated using variance component analysis.

Results

Significant association between endplate defect, LDD, MRI features of LDD and MC was observed. Endplate defect was independently associated with severe disabling LBP episodes. An association between LDD at baseline and MC at follow-up was shown at upper lumbar levels. TEP score was heritable with estimated additive genetic component A = 55.3% (95% CI 43.0–65.4).

Conclusion

Endplate defect, LDD and MC are all independent risk factors for episodes of severe and disabling LBP. Longitudinal analysis showed LDD is followed by MC. Endplate defect has significant heritability. However, whether endplate defect triggers LDD or these pathological changes occur concurrently could not be determined conclusively.

Conflicts of interest: none.

Sources of Funding: This work was funded by the EU FP7 project Pain_Omics.


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