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February 27, 2026BMC Musculoskeletal Disorders0 citationsOpen Access

Age-related prevalence of sacroiliac joint variations and their association with structural damage in axial spondyloarthritis

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JYJiali YuXJXiaojian JiJBJiaxin Bai

Key Points

  • The study aims to explore how the prevalence of sacroiliac joint variations changes with age and their relationship with structural damage in axial spondyloarthritis.
  • Analyzed high-resolution CT scans from 806 patients with axial spondyloarthritis.
  • Evaluated six predefined sacroiliac joint morphotypes.
  • Used generalized additive models and Bayesian additive regression trees for modeling age-related prevalence.
  • Applied multivariable cumulative-link mixed models to assess structural damage severity.
  • SIJ variation prevalence increased significantly with age, particularly in women, reaching 73.5% after 60 years.
  • Presence of any SIJ variant was linked to higher odds of severe structural damage (OR = 2.23).
  • BART modeling provided better risk prediction than GAM.
  • Morphological distributions differed, with semicircular defects and crescent-shaped plates more common in the studied cohort compared to European data.

Abstract

To investigate the age-associated prevalence patterns of sacroiliac joint (SIJ) variations, evaluate their association with structural damage in axial spondyloarthritis (axSpA) patients, and compare their prevalence and morphological spectrum with European data. This retrospective study analyzed high-resolution CT scans from 806 adults. Six predefined SIJ morphotypes were evaluated. Age-associated prevalence was modeled using generalized additive models (GAM) and Bayesian additive regression trees (BART) to capture non-linear dependencies. The association between SIJ variations and structural damage severity (Innsbruck CT grade) in axSpA patients was assessed with multivariable cumulative-link mixed models. European data were derived from a random-effects meta-analysis. SIJ variation prevalence showed a strong, monotonic increase with age (OR = 1.26/year, 95% CI 1.15–1.38), accelerating after 60 years and being more common in women (73.5% vs. 25.2%, P < 0.001). Critically, the presence of any SIJ variant was significantly associated with higher odds of severe structural damage in axSpA patients (OR = 2.23, 95% CI: 1.56–3.19, P < 0.001). BART modeling provided superior net benefit for risk prediction versus GAM, facilitating exploratory risk stratification. While overall prevalence was similar to European data (44.4% vs. 41.0%, P = 0.236), morphological distributions differed significantly: semicircular defects (11.2% vs. 4.8%) and crescent-shaped plates (12.4% vs. 3.6%) were more prevalent in our cohort. SIJ variations are strongly associated with age, suggesting a degenerative component, and constitute a relevant risk marker for severe structural damage in axSpA. The BART model effectively supports exploratory risk assessment. Our cohort shares a similar prevalence but demonstrates a distinct morphological spectrum compared to European populations.

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Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/69a134fbed1d949a99abe755https://doi.org/10.1186/s12891-026-09629-9
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