The applicability of trabecular bone score for osteoporosis diagnosis in ankylosing spondylitis.
Paweł ŻuchowskiMarta DuraDaniel JekaMarzena Waszczak-JekaPublished in: Rheumatology international (2022)
Ankylosing spondylitis (AS) patients have a high risk of osteoporotic fractures. The aim of this study was to evaluate the usefulness of trabecular bone score (TBS) in assessing fracture risk in patients with AS. 67 patients meeting the ASAS classification criteria were enrolled in the study. Fracture risk for each patient was assessed based on a lumbar spine exam encompassing bone mineral density (BMD), and TBS through a dual-energy X-ray absorptiometry (DXA) exam. In addition, each patient had an X-ray taken of their lumbar and thoracic spine to determine the presence of syndesmophytes and bony bridges, as well as spinous process and vertebral body fractures. Moreover, each patient's medical history was analyzed for other osteoporotic fractures. A major osteoporosis fracture (MOF) was found in 11 (16%) patients in total, of which 7 (10%) were vertebral body fractures. The mean TBS in patients with MOF and no MOF were, respectively, 1.12 and 1.29 (p < 0.001). No significant differences were found in BMD scores between the two groups. Syndesmophytes and bony bridges occurred more frequently in patients with MOF (p = 0.02). Age of 50 or more (RR = 9.86, p = 0.002), TBS score ≤ 1.31 (RR = 2.07, p < 0.0001), and presence of syndesmophytes and bony bridges (RR = 2.14, p = 0.04) were considered a relative risk (RR) increasing factors. TBS is a markedly more sensitive method of identifying patients with a high fracture risk compared to BMD measurement in a DXA exam in patients with AS.
Keyphrases
- bone mineral density
- postmenopausal women
- body composition
- ankylosing spondylitis
- dual energy
- end stage renal disease
- ejection fraction
- chronic kidney disease
- computed tomography
- prognostic factors
- newly diagnosed
- rheumatoid arthritis
- high resolution
- machine learning
- magnetic resonance imaging
- spinal cord
- healthcare
- systemic lupus erythematosus
- disease activity
- case report
- deep learning
- soft tissue