Literature DB >> 29335346

Severity of Sacroiliitis and Erythrocyte Sedimentation Rate are Associated with a Low Trabecular Bone Score in Young Male Patients with Ankylosing Spondylitis.

Kwi Young Kang1,2, Min Kyung Chung1,2, Ha Neul Kim1,2, Yeon Sik Hong1,2, Ji Hyeon Ju3,4, Sung-Hwan Park3,4.   

Abstract

OBJECTIVE: To examine factors related to a low trabecular bone score (TBS) and the association between TBS and vertebral fractures in patients with ankylosing spondylitis (AS).
METHODS: One hundred patients (all male, aged < 50 yrs) who fulfilled the modified New York criteria for the classification of AS were enrolled. The TBS and bone mineral density (BMD) were assessed using dual-energy X-ray absorptiometry. Clinical variables, inflammatory markers, and the presence of vertebral fractures were also assessed. Sacroiliitis grade and spinal structural damage were measured using the modified New York criteria and the Stoke Ankylosing Spondylitis Spine Score (SASSS).
RESULTS: The mean TBS was 1.38 ± 0.13. The TBS showed a positive correlation with BMD at the lumbar spine, femoral neck, and total hip. TBS negatively correlated with SASSS, whereas BMD at the lumbar spine showed a positive correlation. A significant decrease in TBS values was observed in patients with spinal structural damage (p = 0.001). Univariate analysis identified disease duration, erythrocyte sedimentation rate (ESR), sacroiliitis grade, and SASSS as being associated with TBS. Multivariate analysis identified ESR and sacroiliitis grade as being independently associated with TBS (p = 0.006 and p < 0.001, respectively). Ten patients had morphometric vertebral fractures. The mean TBS was lower in patients with vertebral fractures than in age-matched patients without fractures (p = 0.028). Lower TBS predicted vertebral fractures (area under curve = 0.733, cutoff = 1.311).
CONCLUSION: The TBS in young male patients with AS is associated with the ESR and severity of sacroiliitis. The TBS may be useful as a tool for assessing osteoporosis in AS.

Entities:  

Keywords:  ANKYLOSING SPONDYLITIS; ERYTHROCYTE SEDIMENTATION RATE; SACROILIITIS; TRABECULAR BONE SCORE

Mesh:

Year:  2018        PMID: 29335346     DOI: 10.3899/jrheum.170079

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  8 in total

1.  Prediction of Vertebral Fractures by Trabecular Bone Score in Patients With Ankylosing Spondylitis.

Authors:  Z Killinger; M Kužma; S Tomková; K Brázdilová; P Jackuliak; J Payer
Journal:  Physiol Res       Date:  2021-11-30       Impact factor: 1.881

2.  Ankylosing Spondylitis and the Risk of Hip Fractures: a Matched Cohort Study.

Authors:  Avishai M Tsur; Paula David; Abdulla Watad; Daniel Nissan; Arnon D Cohen; Howard Amital
Journal:  J Gen Intern Med       Date:  2022-04-11       Impact factor: 6.473

3.  Effect of compression fracture on trabecular bone score at lumbar spine.

Authors:  Y Hsu; T-J Hsieh; C-H Ho; C-H Lin; C K-H Chen
Journal:  Osteoporos Int       Date:  2020-10-26       Impact factor: 4.507

Review 4.  Bone Involvement in Patients with Spondyloarthropathies.

Authors:  Willem Lems; Corinne Miceli-Richard; Judith Haschka; Andrea Giusti; Gitte Lund Chistensen; Roland Kocijan; Nicolas Rosine; Niklas Rye Jørgensen; Gerolamo Bianchi; Christian Roux
Journal:  Calcif Tissue Int       Date:  2022-01-23       Impact factor: 4.333

5.  [Evaluation of the trabecular bone score (TBS) in routine clinical care of patients with inflammatory rheumatic and non-inflammatory diseases : Correlation with conventional bone mineral density measurement and prevalence of vertebral fractures].

Authors:  B Buehring; J Thomas; T Wittkämper; X Baraliakos; J Braun
Journal:  Z Rheumatol       Date:  2020-12       Impact factor: 1.372

Review 6.  A Contemporary View of the Diagnosis of Osteoporosis in Patients With Axial Spondyloarthritis.

Authors:  Mie Jin Lim; Kwi Young Kang
Journal:  Front Med (Lausanne)       Date:  2020-12-11

Review 7.  Practical Significance of Biomarkers in Axial Spondyloarthritis: Updates on Diagnosis, Disease Activity, and Prognosis.

Authors:  Alexandra-Diana Diaconu; Alexandr Ceasovschih; Victorița Șorodoc; Cristina Pomîrleanu; Cătălina Lionte; Laurențiu Șorodoc; Codrina Ancuța
Journal:  Int J Mol Sci       Date:  2022-09-30       Impact factor: 6.208

8.  Development and Validation of a Machine Learning-Based Nomogram for Prediction of Ankylosing Spondylitis.

Authors:  Jichong Zhu; Qing Lu; Tuo Liang; Hao Li; Chenxin Zhou; Shaofeng Wu; Tianyou Chen; Jiarui Chen; Guobing Deng; Yuanlin Yao; Shian Liao; Chaojie Yu; Shengsheng Huang; Xuhua Sun; Liyi Chen; Wenkang Chen; Zhen Ye; Hao Guo; Wuhua Chen; Wenyong Jiang; Binguang Fan; Xiang Tao; Xinli Zhan; Chong Liu
Journal:  Rheumatol Ther       Date:  2022-08-06
  8 in total

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