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The prevalence of vertebral fractures in spondyloarthritis: relation to disease characteristics, bone mineral density, syndesmophytes and history of back pain and trauma

Arthritis Research & Therapy volume 17, Article number: 294 (2015) Cite this article

Abstract

Introduction

An increased risk of vertebral fracture (VF) is one of the extra-articular manifestations of spondyloarthropathy (SpA). The prevalence of moderate to severe VFs visualized by radiography (Rx) in patients with SpA in daily practice is unknown until imaging of the full spine is available, as most VFs do not present with clinical signs and symptoms of an acute fracture.

Methods

We evaluated the prevalence of VFs (>25 % loss in height) on available Rx and dual-energy X-ray absorptiometry (DXA) images in 390 consecutive patients with SpA in daily practice. We assessed their association with disease characteristics, bone mineral density, the modified Stoke Ankylosing Spondylitis Spinal Score, and history of trauma.

Results

Forty-six patients (11.8 %) had Rx VF (56.4 % men, 93.5 % in the thoracic spine), and 44.5 % had multiple VFs. Compared with patients without VF, patients with VF were older (52.2 vs. 47.3 years, p < 0.01; range 25–84 years), had lower femoral neck T-scores (−1.1 vs. −0.7; p < 0.05), and had a marginally higher modified Stoke Ankylosing Spondylitis Spinal Score (11.7 vs. 7.0; p = 0.06). Among patients with VFs, 15.2 % had a history of trauma with acute back pain (p < 0.001 vs. no VF). The reliability of DXA for diagnosing radiographic VFs was high (κ 0.90).

Conclusions

Moderate to severe VFs are found in more than 10 % of patients with SpA before the age of 40 years in 5 % of women and 9 % in men. Most VFs are located in the thoracic region, are related to low femoral neck bone mineral density and to stiffening of the spine, and are only rarely related to trauma history. DXA is a useful alternative for diagnosing VFs.

Introduction

An increased risk of vertebral fracture (VF) is one of the extra-articular manifestations of ankylosing spondylitis (AS) [1, 2] and other spondyloarthropathies (SpAs) [3, 4]. In population studies, it has been shown that the risk of radiographic and clinical VFs is increased in patients with AS [3, 5–9], even early in the disease [6, 10], and is also increased in those with inflammatory bowel disease (IBD) [3] and psoriatic arthritis (PsA) [4]. The prevalence of VFs has been studied in several surveys including 22–158 patients with AS in whom the prevalence of radiographic VFs ranged from 1.4 % to 58.0 %. Nevertheless, criteria for patient selection were variable in these studies (consecutive patients or patients selected on the basis of disease activity, occiput to wall distance (OWD), sex or age, and including clinical VFs or systematic evaluated morphometric VFs), as were the criteria for VF diagnosis (variable thresholds of vertebral height loss) [10–14].

Based on the increased rate of VF in AS, imaging of the spine is advocated in cases of significant change in the course of the disease [15, 16]. However, most VFs do not present with the clinical signs and symptoms of an acute fracture and are overlooked when back pain is interpreted as a disease flare of spondylitis. No data are available on the relationship between history of trauma and acute or chronic back pain in SpA.

Imaging of the spine is most often performed with conventional radiography (Rx), but Vertebral Fracture Assessment (VFA) using dual-energy X-ray absorptiometry (DXA) technology is of increasing interest because of its low radiation dose and high negative predictive value (NPV) [17], and it has also been studied in AS [13, 18, 19].

We evaluated the presence of VF using Rx and VFA in a non-academic rheumatology practice in a large cohort of patients with SpA in relation to disease characteristics, bone mineral density (BMD), syndesmophytes, and history of back pain and trauma.

Methods

Study population

A total of 390 consecutive ambulatory patients with SpA who were seen by six rheumatologists in an ambulatory non-academic rheumatology clinic were included between July 2013 and December 2013.

Diagnoses of AS, undifferentiated SpA, PsA, and IBD were made by the treating rheumatologists according to the criteria set forth in national and international guidelines [20]. This study was approved by the medical ethics committee of Ziekenhuisnetwerk Antwerpen (Belgium), and all patients provided informed consent before participation.

Bone mineral density

BMD was measured in the lumbar spine (anteroposterior projection), femoral neck, and total hip using DXA with standard procedures as recommended by the manufacturer (Lunar Prodigy Primo BX-1 L enCORE device, version 12.30; GE Healthcare Life Sciences, Chalfont St. Giles, UK). VFA imaging was performed using software provided by the manufacturer for this device.

Radiographic assessment and scoring

Lateral images of the thoracic and lumbar spine were semiquantitatively evaluated according to the Genant score for anterior, middle, and posterior height using available digital Rx and VFA images [21, 22]. VFA was performed using a semiquantitative (SQ) technique. Each Rx and VFA image was inspected visually by the treating rheumatologist to decide whether it contained a fracture in any of the visualized vertebrae and assigned a grade based on the Genant SQ scale, where grade 2 (moderate) is a reduction of 26–40 % and grade 3 (severe) a reduction of over 40 %. In case of doubt, vertebral heights were measured using the digital measuring device supplied by the provider of the digital Rx system. Only vertebral deformities >25 % were considered as a VF (grades 2 and 3), as this degree of deformity increases the specificity compared with a lesser degree of deformity [23].

On lateral spine radiographs, the cervical, lumbar and thoracic vertebrae were scored using the modified Stoke Ankylosing Spondylitis Spinal Score (mSASSS) as 0 (normal), 1 (erosion, sclerosis, or squaring), 2 (obvious syndesmophyte), and 3 (total bone bridge) [16]. The mSASSS according to Assessment of SpondyloArthritis international Society includes scoring of radiographs at the cervical and lumbar spine (range 0–72). In addition, the same scoring method was also used for the thoracic spine, and additional mSASSS was calculated for both the thoracic spine (range 0–72) and total spine (range 0–144).

Each of the six experienced rheumatologists performed scoring of mSASSS on radiographs and VFs on the radiographs and VFAs of their own patients. They were all experienced and trained in scoring VF, as well as in patients with SpA, at the yearly bone curriculum meetings of the Osteoporosis Working Group of the Royal Belgian Rheumatology Society. Therefore, no intra- or interreader reliability was tested.

Disease characteristics

Disease characteristics of patients included the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), Ankylosing Spondylitis Disease Activity Score (ASDAS), OWD, presence of human leukocyte antigen B27 (HLA-B27), and serum erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP). All patients were asked about a history of falls and trauma and subsequent acute or chronic back pain.

Statistical analysis

We report descriptive statistics and comparisons between patients with and without a VF using analysis of variance (ANOVA) for continuous variables and cross-tabulation for dichotomous variables.

Univariable and multivariable logistic regression analyses were used to estimate the effects of factors that were significantly different between patients with and without a VF on the likelihood [expressed as odds ratio (OR) with 95 % confidence interval (CI)] that participants had a radiographic VF.

A reliability analysis using the κ statistic was performed to determine consistency between VFA and Rx in diagnosing VF. For the diagnostic value of VFA in identifying radiographic VF, we calculated sensitivity, specificity, positive predictive value (PPV), and NPV. Calculations were performed using IBM SPSS version 22 software (IBM, Armonk, NY, USA).

Results

Study population

The basic characteristics and BMD of the 390 patients with SpA are shown in Table 1. These included 175 (44.9 %) men and 215 (55.1 %) women, 286 (73.3 %) of whom had AS, 40 (10.3 %) of whom had PsA, 18 (4.6 %) of whom had IBD, and 46 (11.8 %) of whom had undifferentiated SpA. The patients’ mean age was 47.9 years [standard deviation (SD) 11.9, range 21–84 years]. The mean time since first symptoms was 14.6 years (SD 10.7, range 1–60 years), and the mean time since diagnosis was 10.8 years (SD 9.9, range: 0–60 years). The mean difference between symptoms and diagnosis was 3.9 years (SD 5.8, range 0–33 years). HLA-B27 was present in 203 (62.8 %) of the 323 patients in whom this was evaluated. In addition, 168 (43.1 %) of the patients had undergone treatment with tumor necrosis factor blockers at the time of the survey.

Table 1 Basic characteristics of included patients with spondyloarthritis (n = 390)
Full size table

The majority of patients had normal BMD (T-score −1.0 or higher) in the spine (79.7 %) and in the femoral neck (59.5 %), whereas 17.2 % and 36.4 % had a T-score between −1 and −2.5, respectively. Only a minority of patients had a T-score −2.5 or lower (3.1 % in the spine and 4.1 % in the femoral neck). BMD decreased with age in the femoral neck in women (−0.46; p < 0.001) and men (−0.31; p < 0.001), as well as in the spine in women (−0.26; p < 0.001), but it increased with age in the spine in men (0.27; p < 0.001) (Fig. 1).

Fig. 1
figure 1

Correlation between bone mineral density (of the femoral neck and lumbar spine) and age. Bone mineral density of patients with SpA is represented as T-score. T-scores are shown in the (a) femoral neck and (b) lumbar spine for both women (left) and men (right) according to their age (years). Lines represent the 95 % confidence intervals

Full size image

The classical mSASSS (cervical + lumbar spine) was 7.6 (SD 15.9, range 0–72). The mSASSS for the thoracic spine was 10.6 (range 0–72), resulting in a total spine mSASSS score of 18.1 (SD 34.4, range 0–144). mSASSS >0 were found in the cervical spine in 30.1 % of patients, in the thoracic spine in 43.6 %, in the lumbar spine in 38.2 %, in the cervical and lumbar spine combined in 45.1 %, and in the total spine in 55.1 %.

By Rx, moderate to severe VFs were identified in 46 patients, of whom 25 (54.3 %) were men. Twenty patients (43.5 %) had more than one VF (18 had 2 VFs and 2 had 3 VFs), resulting in a total of 68 VFs. Of the 68 VFs, 62 (91.2 %) were located in the thoracic spine (Fig. 2). The prevalence was highest in IBD (22.2 %), followed by 12.2 % in AS and 10.0 % in PsA, and lowest in undifferentiated SpA (6.5 %).

Fig. 2
figure 2

Prevalence of vertebral fractures (VFs) in the thoracic and lumbar spine of patients with spondyloarthropathy (SpA). The occurrence of VFs is represented as the absolute number of patients with SpA with VFs in either the thoracic (T5-T12) or lumbar part of the spine (L1-L5) (black). The absolute number of patients with SpA with only one VF located in the thoracic or lumbar spine is shown with light gray bars. Dark gray bars represent patients with SpA with more than one VF located in the thoracic or lumbar spine

Full size image

Comparisons between patients with and without VF are shown in Table 2. Compared with patients without VF, patients with a VF were older (52.2 vs. 47.3 years, range 25–84 years; p < 0.01). They had a lower T-score in the femoral neck (−1.00 vs. −0.70; p < 0.05) and total hip (−0.74 vs. −0.27; p < 0.05), more peripheral joint disease (4.4 vs. 3.5; p < 0.05), a marginally higher classical (cervical + lumbar) mSASSS (11.7 vs. 7.0; p = 0.06), and a significantly higher thoracic mSASSS (16.2 vs. 9.8; p < 0.05).

Table 2 Basic characteristics of patients with spondyloarthritis without (n = 344) and with (n = 46) one or more radiographic vertebral fractures >25 %
Full size table

Compared with patients with an mSASSS score of 0 at the level of BMD measurement (L2-L4), patients with mSASSS scores >0 had a significantly higher T-score in the spine (0.47 vs. 0.12; p = 0.50). In contrast, the T-score was significantly lower in the femoral neck (−1.01 vs. −0.60; p < 0.001) and in the total hip (−0.65 vs. −0.22; p < 0.001).

Univariable logistic regression analysis revealed the OR for VF (based on the significant differences in Table 2): age (OR 1.35 per 10-year increase, 95 % CI 1.08–1.62) (Fig. 3), duration of symptoms (OR 1.35 per 10-year increase, 95 % CI 1.08–1.61), thoracic mSASSS (OR 1.13 per 10-point increase, 95 % CI 1.00–1.25), and femoral neck T-score (OR 1.38 per 1 SD decrease, 95 % CI 1.01–1.88). In multivariable regression analysis including these factors, only age remained significant, with an OR of 1.35 (95 % CI 1.08–1.62) per 10-year increase in age.

Fig. 3
figure 3

Prevalence of vertebral fractures (VFs) according to age and sex of patients with spondyloarthropathy (SpA). The prevalence of VFs is shown as the percentage of men (gray bars) or women (black bars) of the total number of patients with SpA with VFs in three different age groups. Age groups were 20–39 years, 40–59 years, and 60 years and older

Full size image

A history of falls was reported by 15.1 % of patients, 17.4 % with and 14.8 % without a VF (not statistically significant). A history of trauma with subsequent acute back pain was reported by 15.2 % of patients, 15.2 % with and 2.6 % without a VF (p = 0.001). A history of trauma with subsequent chronic back pain was reported by 1.3 % of patients, 8.7 % with and 0.3 % without a VF (p = 0.001).

One patient had a history of spontaneous dorsal arch fracture at T10 without previous trauma, which was diagnosed only after bone scintigraphy and magnetic resonance imaging and that healed spontaneously without complications other than temporarily increased back pain. Three patients (0.8 %) had a history of VF with neurologic complications: two after a cervical fracture and one after a lumbar fracture.

The reliability of Rx and VFA for diagnosing VF was found to be κ = 0.898 (standard error 0.036; p < 0.001) (Table 3). Rx VF could not be diagnosed on the basis of VFA in six patients, because the VFA images were of insufficient quality. In two patients, VFs were diagnosed with the use of VFA, and the VFs were also present on radiographs but with a deformity of <25 % on Rx.

Table 3 Analysis of congruence between conventional radiography and Vertebral Fracture Assessment for diagnosing vertebral fractures
Full size table

The analysis of the diagnostic value of VFA to detect VFs identified on Rx indicated sensitivity of 87 % (95 % CI 74–95 %), with specificity of 99 % (95 % CI 98–100 %), PPV of 95 % (95 % CI 84–99 %), and NPV of 98 % (95 % CI 96–99 %).

Discussion

In this large survey of VFs in 390 men and women with SpA, we found >10 % prevalence of moderate to severe VFs, already before the age of 30 years and within 5 years of symptoms.

The pathophysiology of VFs in SpA is complex [13, 24–26]. In AS, markers of bone resorption are increased in active disease and are related to low BMD and bone loss in the femoral neck and in the spine [27, 28]. Markers of bone formation are mostly normal in AS and not correlated with BMD [27]. Low BMD and bone loss have been documented in the spine [by DXA and quantitative computed tomography (QCT)] and in the hip (by DXA) [29, 30]. Later in the course of AS, BMD is decreased in the hip (as shown by DXA) and within the vertebrae (by QCT), but not in the lumbar spine (by DXA). This is due to intervertebral syndesmophyte formation, periosteal bone formation with squaring of the vertebrae, ankylosis of the facet joints, and calcification of the perivertebral ligaments (by QCT) [29, 30].

Using high-resolution peripheral QCT, it has been shown that patients with AS who have osteoporosis also have a decrease in bone volume density and in cortical thickness in the distal radius and distal tibia, which correlated with trabecular volumetric BMD in the lumbar spine using QCT [31]. These studies suggest that patients with AS have a generalized loss of trabecular bone density. The clinical consequence is that this low BMD and bone loss are measurable by DXA in the spine and hip early in the disease, but only in the hip later in the disease course [24, 25].

Interestingly, in this study, the presence of VF was related to mSASSS and marginally to BMD measured by DXA in the femoral neck. This indicates that, in addition to a low BMD, an altered biomechanical performance of the vertebrae by the stiffening of the spine contributes to the occurrence of VF [13, 24, 25]. These results further support the European League Against Rheumatism (EULAR) recommendations on imaging in SpA, which state that in patients with axial SpA without syndesmophytes in the lumbar spine visualized by conventional Rx, osteoporosis should be assessed by hip DXA and anteroposterior spine DXA. In patients with syndesmophytes in the lumbar spine visualized by conventional Rx, osteoporosis should be assessed by hip DXA supplemented by either spine DXA in lateral projection or possibly QCT of the spine [32].

VFs do not occur uniformly along the spine, but, as shown in postmenopausal and senile osteoporosis, they occur more often in the midthoracic and thoracolumbar regions than elsewhere [33, 34], which is likely attributable to biomechanical factors. Apart from loading (body height, weight, muscle forces, movements such as bending), other factors play a role in VF, such as spinal curvature and the heterogeneity of BMD between vertebrae [35]. Furthermore, a wedged thoracic VF increases the biomechanical stresses in other vertebrae [36]. In view of the relationship between VF and mSASSS in this and other studies [14], stiffening of the spine in SpA also could contribute to VF risk. Segmental or generalized syndesmophyte formation (bamboo spine) transforms the flexible spine in a long stiff bone (with intravertebral osteoporosis as shown with computed tomography) with decreased biomechanical competence. Stiffening of the spine in AS can also explain why VFs in AS occur at unusual locations (cervical spine) with unusual characteristics (e.g., transdiscal and horizontal transvertebral fractures and fractures of the dorsal arch structures of the vertebrae, which was reported by one of our patients) and with severe neurologic deficits, which occurred in three patients (0.8 %) [24].

Patients with a VF more often had a history of acute and chronic back pain after trauma than did patients without a VF. However, this occurred only in a minority of patients with a VF (one of six patients), suggesting that most VFs in SpA are not the result of trauma. The clinical consequence is that a history of trauma helps to identify only a limited number of patients with a VF. According to the ASAS/EULAR recommendations, imaging of the spine is advocated in AS in cases of a significant change in the course of the disease [15, 16]. However, on the basis of the high prevalence of subclinical VFs, this recommendation could need adaption, as VFs can be diagnosed only when imaging of the spine is performed and can be present without a history of trauma or typical signs and symptoms of an acute fracture.

The agreement between digitized Rx and VFA in diagnosing VFs, as well as the high NPV [17–19], is of clinical interest. VFA missed six (12.5 %) of the radiographic VFs. This indicates that in the majority of patients with SpA, VFA will enable diagnosis of VFs using a much lower level of radiation than Rx. Earlier studies showed less congruent results, but this could have been due to measuring vertebral heights using a less reliable magnification loop on plain radiographic films instead of electronic aids on digitized radiographs in this study [18, 19].

In view of its high NPV, VFA allows selection of patients who will or who will not need Rx for diagnosing VFs [17–19, 23]. A prevalent VF is a strong predictor of future VFs and non-VFs. No fracture prevention studies are available in SpA. It is therefore indicated that patients with SpA and early bone loss, osteoporosis, and/or a prevalent VF should be considered candidates for antiresorptive drugs to prevent fractures.

The strength of this study is the large sample collection and the representativeness of the patient group in a peripheral non-academic rheumatology center, including a broad range of ages and representing both sexes. Interestingly, we found the overall prevalence of SpAs to be as common in women as in men. The dominant male prevalence in AS is well accepted. However, the gender distribution in our survey is in line with the finding that, in recent years, the gender ratio approached 1:1 in an AS patient survey in Germany [37] and in a population survey in the south of Sweden for SpAs [38]. This finding has been included in the ASAS mission statement on epidemiology of AS [39]. The reported data regarding prevalence of PsA according to gender is conflicting [38]. The incidence of Crohn’s disease is similar between women and men, but the prevalence of IBD with SpA is unknown [40].

The finding that VFA using DXA has high sensitivity, specificity, PPV, and NPV compared with Rx is another strength with possible clinical consequences for screening. It indicates that VFA can be used as a prescreening tool for the presence of a VF in SpA, limiting the use of radiographs to patients with a VF on VFA, or when VFA is not of adequate quality to evaluate VFs.

A limitation of the study is the small number of patients with PsA and IBD. Furthermore, we chose only VFs with a deformity >25 % and not smaller deformities, as this would have increased sensitivity but decreased specificity for diagnosing a VF [23]. Therefore, the prevalence of VFs is even higher in this population when mild deformities are also included [14]. Last, the relationship between a history of trauma and the presence of VF should be interpreted with caution, as there is a possibility of recall bias of traumas.

Conclusions

Moderate to severe VFs are found in more than 10 % of patients with SpA, already before the age of 40 years in 5 % of women and 9 % of men and within 5 years of disease symptoms. Most VFs are located in the thoracic region, are subclinical, and are related to low femoral neck BMD and stiffening of the thoracic spine. VFA is helpful in selecting patients in whom Rx should be performed to diagnose a VF.

Abbreviations

ANOVA:

Analysis of variance

AS:

Ankylosing spondylitis

ASDAS:

Ankylosing Spondylitis Disease Activity Score

BASDAI:

Bath Ankylosing Spondylitis Disease Activity Index

BASFI:

Bath Ankylosing Spondylitis Functional Index

BMD:

Bone mineral density

CI:

Confidence interval

CRP:

C-reactive protein

DXA:

Dual-energy X-ray absorptiometry

ESR:

Erythrocyte sedimentation rate

EULAR:

European League Against Rheumatism

HLA-B27:

Human leukocyte antigen B27

IBD:

Inflammatory bowel disease

mSASSS:

Modified Stoke Ankylosing Spondylitis Spinal Score

NPV:

Negative predictive value

OR:

Odds ratio

OWD:

Occiput to wall distance

PPV:

Positive predictive value

PsA:

Psoriatic arthritis

QCT:

Quantitative computed tomography

Rx:

Radiography

SD:

Standard deviation

SpA:

Spondyloarthropathy

SQ:

Semiquantitative

TNF:

Tumor necrosis factor

VF:

Vertebral fracture

VFA:

Vertebral Fracture Assessment

References

  1. El Maghraoui A. Extra-articular manifestations of ankylosing spondylitis: prevalence, characteristics and therapeutic implications. Eur J Intern Med. 2011;22:554–60. doi:10.1016/j.ejim.2011.06.006.

    Article  PubMed  Google Scholar 

  2. Sieper J, Braun J, Rudwaleit M, Boonen A, Zink A. Ankylosing spondylitis: an overview. Ann Rheum Dis. 2002;61 Suppl 3:iii8–18.

  3. Weiss RJ, Wick MC, Ackermann PW, Montgomery SM. Increased fracture risk in patients with rheumatic disorders and other inflammatory diseases—a case–control study with 53,108 patients with fracture. J Rheumatol. 2010;37:2247–50. doi:10.3899/jrheum.100363.

    Article  PubMed  Google Scholar 

  4. Pedreira PG, Pinheiro MM, Szejnfeld VL. Bone mineral density and body composition in postmenopausal women with psoriasis and psoriatic arthritis. Arthritis Res Ther. 2011;13:R16. doi:10.1186/ar3240.

    Article  PubMed Central  PubMed  Google Scholar 

  5. Prieto-Alhambra D, Munoz-Ortego J, De Vries F, Vosse D, Arden NK, Bowness P, et al. Ankylosing spondylitis confers substantially increased risk of clinical spine fractures: a nationwide case–control study. Osteoporos Int. 2015;26:85–91. doi:10.1007/s00198-014-2939-3.

    Article  CAS  PubMed  Google Scholar 

  6. Cooper C, Carbone L, Michet CJ, Atkinson EJ, O’Fallon WM, Melton 3rd LJ. Fracture risk in patients with ankylosing spondylitis: a population based study. J Rheumatol. 1994;21:1877–82.

    CAS  PubMed  Google Scholar 

  7. Vosse D, Landewé R, van der Heijde D, van der Linden S, van Staa TP, Geusens P. Ankylosing spondylitis and the risk of fracture: results from a large primary care-based nested case–control study. Ann Rheum Dis. 2009;68:1839–42. doi:10.1136/ard.2008.100503.

    Article  CAS  PubMed  Google Scholar 

  8. Muñoz-Ortego J, Vestergaard P, Rubio JB, Wordsworth P, Judge A, Javaid MK, et al. Ankylosing spondylitis is associated with an increased risk of vertebral and nonvertebral clinical fractures: a population-based cohort study. J Bone Miner Res. 2014;29:1770–6. doi:10.1002/jbmr.2217.

    Article  PubMed  Google Scholar 

  9. Robinson Y, Sanden B, Olerud C. Increased occurrence of spinal fractures related to ankylosing spondylitis: a prospective 22-year cohort study in 17,764 patients from a national registry in Sweden. Patient Saf Surg. 2013;7:2. doi:10.1186/1754-9493-7-2.

    Article  PubMed Central  PubMed  Google Scholar 

  10. van der Weijden MA, Claushuis TA, Nazari T, Lems WF, Dijkmans BA, van der Horst-Bruinsma IE. High prevalence of low bone mineral density in patients within 10 years of onset of ankylosing spondylitis: a systematic review. Clin Rheumatol. 2012;31:1529–35. doi:10.1007/s10067-012-2018-0.

    Article  PubMed Central  PubMed  Google Scholar 

  11. Geusens P, Vosse D, van der Linden S. Osteoporosis and vertebral fractures in ankylosing spondylitis. Curr Opin Rheumatol. 2007;19:335–9. doi:10.1097/BOR.0b013e328133f5b3.

    Article  PubMed  Google Scholar 

  12. Geusens P, Vosse D, van der Heijde D, Vanhoof J, van Tubergen A, Raus J, et al. High prevalence of thoracic vertebral deformities and discal wedging in ankylosing spondylitis patients with hyperkyphosis. J Rheumatol. 2001;28:1856–61.

    CAS  PubMed  Google Scholar 

  13. Sambrook PN, Geusens P. The epidemiology of osteoporosis and fractures in ankylosing spondylitis. Ther Adv Musculoskelet Dis. 2012;4:287–92. doi:10.1177/1759720x12441276.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Ghozlani I, Ghazi M, Nouijai A, Mounach A, Rezqi A, Achemlal L, et al. Prevalence and risk factors of osteoporosis and vertebral fractures in patients with ankylosing spondylitis. Bone. 2009;44:772–6. doi:10.1016/j.bone.2008.12.028.

    Article  CAS  PubMed  Google Scholar 

  15. Sieper J, Rudwaleit M, Baraliakos X, Brandt J, Braun J, Burgos-Vargas R, et al. The Assessment of SpondyloArthritis international Society (ASAS) handbook: a guide to assess spondyloarthritis. Ann Rheum Dis. 2009;68 Suppl 2:ii1–44. doi:10.1136/ard.2008.104018.

  16. Braun J, van den Berg R, Baraliakos X, Boehm H, Burgos-Vargas R, Collantes-Estevez E, et al. 2010 update of the ASAS/EULAR recommendations for the management of ankylosing spondylitis. Ann Rheum Dis. 2011;70:896–904. doi:10.1136/ard.2011.151027.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  17. Chapurlat RD, Duboeuf F, Marion-Audibert HO, Kalpakcioglu B, Mitlak BH, Delmas PD. Effectiveness of instant vertebral assessment to detect prevalent vertebral fracture. Osteoporos Int. 2006;17:1189–95. doi:10.1007/s00198-006-0121-2.

    Article  CAS  PubMed  Google Scholar 

  18. Vosse D, Heijckmann C, Landewé R, van der Heijde D, van der Linden S, Geusens P. Comparing morphometric X-ray absorptiometry and radiography in defining vertebral wedge fractures in patients with ankylosing spondylitis. Rheumatology (Oxford). 2007;46:1667–71. doi:10.1093/rheumatology/kem135.

    Article  CAS  Google Scholar 

  19. Scott-Russell A, Dennison E, Taylor P, Cooper C. Comment on: Comparing morphometric X-ray absorptiometry and radiography in defining vertebral wedge fractures in patients with ankylosing spondylitis. Rheumatology (Oxford). 2008;47:1107–9. doi:10.1093/rheumatology/ken133.

    Article  CAS  Google Scholar 

  20. Bijlsma JWJ. EULAR textbook on rheumatic diseases. London: BMJ/EULAR; 2012.

    Google Scholar 

  21. Genant HK, Jergas M, Palermo L, Nevitt M, Valentin RS, Black D, et al. Comparison of semiquantitative visual and quantitative morphometric assessment of prevalent and incident vertebral fractures in osteoporosis. J Bone Miner Res. 1996;11:984–96. doi:10.1002/jbmr.5650110716.

    Article  CAS  PubMed  Google Scholar 

  22. Genant HK, Wu CY, van Kuijk C, Nevitt MC. Vertebral fracture assessment using a semiquantitative technique. J Bone Miner Res. 1993;8:1137–48. doi:10.1002/jbmr.5650080915.

    Article  CAS  PubMed  Google Scholar 

  23. Bonnyman AM, Webber CE, Stratford PW, MacIntyre NJ. Intrarater reliability of dual-energy X-ray absorptiometry-based measures of vertebral height in postmenopausal women. J Clin Densitom. 2012;15:405–12. doi:10.1016/j.jocd.2012.03.005.

    Article  PubMed  Google Scholar 

  24. Geusens P, Lems WF. Osteoimmunology and osteoporosis. Arthritis Res Ther. 2011;13:242. doi:10.1186/ar3375.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  25. Roux C. Osteoporosis in inflammatory joint diseases. Osteoporos Int. 2011;22:421–33. doi:10.1007/s00198-010-1319-x.

    Article  CAS  PubMed  Google Scholar 

  26. Goldring SR. Osteoimmunology and bone homeostasis: relevance to spondyloarthritis. Curr Rheumatol Rep. 2013;15:342. doi:10.1007/s11926-013-0342-2.

    Article  PubMed Central  PubMed  Google Scholar 

  27. Coiffier G, Bouvard B, Chopin F, Biver E, Funck-Brentano T, Garnero P, et al. Common bone turnover markers in rheumatoid arthritis and ankylosing spondylitis: a literature review. Joint Bone Spine. 2013;80:250–7. doi:10.1016/j.jbspin.2012.08.004.

    Article  PubMed  Google Scholar 

  28. Vosse D, Landewé R, Garnero P, van der Heijde D, van der Linden S, Geusens P. Association of markers of bone- and cartilage-degradation with radiological changes at baseline and after 2 years follow-up in patients with ankylosing spondylitis. Rheumatology (Oxford). 2008;47:1219–22. doi:10.1093/rheumatology/ken148.

    Article  CAS  Google Scholar 

  29. Lee YS, Schlotzhauer T, Ott SM, van Vollenhoven RF, Hunter J, Shapiro J, et al. Skeletal status of men with early and late ankylosing spondylitis. Am J Med. 1997;103:233–41.

    Article  CAS  PubMed  Google Scholar 

  30. Lange U, Kluge A, Strunk J, Teichmann J, Bachmann G. Ankylosing spondylitis and bone mineral density—what is the ideal tool for measurement? Rheumatol Int. 2005;26:115–20. doi:10.1007/s00296-004-0515-4.

    Article  PubMed  Google Scholar 

  31. Klingberg E, Lorentzon M, Göthlin J, Mellström D, Geijer M, Ohlsson C, et al. Bone microarchitecture in ankylosing spondylitis and the association with bone mineral density, fractures, and syndesmophytes. Arthritis Res Ther. 2013;15:R179. doi:10.1186/ar4368.

    Article  PubMed Central  PubMed  Google Scholar 

  32. Mandl P, Navarro-Compan V, Terslev L, Aegerter P, van der Heijde D. EULAR recommendations for the use of imaging in the diagnosis and management of spondyloarthritis in clinical practice. Ann Rheum Dis. 2015;74:1327–39. doi:10.1136/annrheumdis-2014-206971.

    Article  CAS  PubMed  Google Scholar 

  33. Delmas PD, van de Langerijt L, Watts NB, Eastell R, Genant H, Grauer A, et al. Underdiagnosis of vertebral fractures is a worldwide problem: the IMPACT study. J Bone Miner Res. 2005;20:557–63. doi:10.1359/jbmr.041214.

    Article  PubMed  Google Scholar 

  34. Melton 3rd LJ, Lane AW, Cooper C, Eastell R, O’Fallon WM, Riggs BL. Prevalence and incidence of vertebral deformities. Osteoporos Int. 1993;3:113–9.

    Article  PubMed  Google Scholar 

  35. Christiansen BA, Bouxsein ML. Biomechanics of vertebral fractures and the vertebral fracture cascade. Curr Osteoporos Rep. 2010;8:198–204. doi:10.1007/s11914-010-0031-2.

    Article  PubMed  Google Scholar 

  36. Okamoto Y, Murakami H, Demura S, Kato S, Yoshioka K, Hayashi H, et al. The effect of kyphotic deformity because of vertebral fracture: a finite element analysis of a 10° and 20° wedge-shaped vertebral fracture model. Spine J. 2015;15:713–20. doi:10.1016/j.spinee.2014.11.019.

    Article  PubMed  Google Scholar 

  37. Feldtkeller E, Bruckel J, Khan MA. Scientific contributions of ankylosing spondylitis patient advocacy groups. Curr Opin Rheumatol. 2000;12:239–47.

    Article  CAS  PubMed  Google Scholar 

  38. Haglund E, Bremander AB, Petersson IF, Strombeck B, Bergman S, Jacobsson LT, et al. Prevalence of spondyloarthritis and its subtypes in southern Sweden. Ann Rheum Dis. 2011;70:943–8. doi:10.1136/ard.2010.141598.

    Article  CAS  PubMed  Google Scholar 

  39. Assessment of SpondyloArthritis International Society. Mission statement. http://www.asas-group.org/mission-statement.php. Accessed 14 Oct 2015.

  40. Lucendo AJ, Hervias D, Roncero O, Lorente R, Bouhmidi A, Angueira T, et al. Epidemiology and temporal trends (2000–2012) of inflammatory bowel disease in adult patients in a central region of Spain. Eur J Gastroenterol Hepatol. 2014;26:1399–407. doi:10.1097/meg.0000000000000226.

    Article  PubMed  Google Scholar 

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Acknowledgments

This study was supported by Hasselt University and Transnationale Universiteit Limburg, Maastricht University Medical Centre. It was also supported by an unrestricted grant from AbbVie for a non-interventional study survey.

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Authors and Affiliations

  1. Hasselt University, Biomedical Research Institute, and Transnationale Universiteit Limburg, Diepenbeek, Belgium, Martelarenlaan 42, 3500, Hasselt, Belgium

    Piet Geusens, Liesbeth De Winter, Dana Quaden & Veerle Somers

  2. Division of Rheumatology, Department of Internal Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Center, Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands

    Piet Geusens & Joop van den Bergh

  3. ReumaClinic, Genk, Bretheistraat 149, 3600, Genk, Belgium

    Piet Geusens, Johan Vanhoof & Debby Vosse

  4. Department of Internal Medicine, VieCuri Medical Centre, P.O. Box 1926, 5900 BX, Venlo, The Netherlands

    Joop van den Bergh

  5. Department of Internal Medicine, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Centre, P.O. Box 616, 6200 MD, Maastricht, The Netherlands

    Joop van den Bergh

Authors
  1. Piet Geusens
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  2. Liesbeth De Winter
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  3. Dana Quaden
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  5. Debby Vosse
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  6. Joop van den Bergh
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Corresponding author

Correspondence to Piet Geusens.

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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

PG conceived of the study, participated in its conception and design, carried out the acquisition and analysis of data, and drafted and revised the manuscript. LW participated in interpreting the data and contributed to the writing and revision of the manuscript. DQ participated in the acquisition of data, helped to analyze and interpret the data, and contributed to drafting and revising the manuscript. JV participated in the conception and design of this study, helped to acquire and analyze the data, and participated in drafting and revising the manuscript. DV contributed to the conception and design of the study, participated in drafting the manuscript, and helped to revise the manuscript. JvdB contributed to the acquisition of the data, helped to draft the manuscript, and participated in revising the manuscript. VS made substantial contributions to the conception and design of the study, carried out the acquisition and analysis of data, and participated in drafting and revising the manuscript. All authors read and approved the final manuscript.

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Geusens, P., De Winter, L., Quaden, D. et al. The prevalence of vertebral fractures in spondyloarthritis: relation to disease characteristics, bone mineral density, syndesmophytes and history of back pain and trauma. Arthritis Res Ther 17, 294 (2015). https://doi.org/10.1186/s13075-015-0809-9

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  • DOI: https://doi.org/10.1186/s13075-015-0809-9

Keywords

  • Spondyloarthropathy
  • Bone mineral density
  • Vertebral fracture
  • Vertebral fracture assessment

Arthritis Research & Therapy

ISSN: 1478-6362

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