OP0118 Impact of radiographic damage in the sacroiliac joints on function and spinal mobility in patients with axial spondyloarthritis: results from the german spondyloarthritis inception cohort

Axial spondyloarthritis (axSpA) is a chronic inflammatory disease of the sacroiliac joints. In this study, we develop a method for detecting bone marrow edema by magnetic resonance (MR) imaging of the sacroiliac joints and a deep-learning network. A total of 815 MR images of the sacroiliac joints were obtained from 60 patients diagnosed with axSpA and 19 healthy subjects. Gadolinium-enhanced fat-suppressed T1-weighted oblique coronal images were used for deep learning. Active sacroiliitis was defined as bone marrow edema, and the following processes were performed: setting the region of interest (ROI) and normalizing it to a size suitable for input to a deep-learning network, determining bone marrow edema using a convolutional-neural-network-based deep-learning network for individual MR images, and determining sacroiliac arthritis in subject examinations based on the classification results of individual MR images. About 70% of the patients and normal subjects were randomly selected for the training dataset, and the remaining 30% formed the test dataset. This process was repeated five times to calculate the average classification rate of the five-fold sets. The gradient-weighted class activation mapping method was used to validate the classification results. In the performance analysis of the ResNet18-based classification network for individual MR images, use of the ROI showed excellent detection performance of bone marrow edema with 93.55 ± 2.19% accuracy, 92.87 ± 1.27% recall, and 94.69 ± 3.03% precision. The overall performance was additionally improved using a median filter to reflect the context information. Finally, active sacroiliitis was diagnosed in individual subjects with 96.06 ± 2.83% accuracy, 100% recall, and 94.84 ± 3.73% precision. This is a pilot study to diagnose bone marrow edema by deep learning based on MR images, and the results suggest that MR analysis using deep learning can be a useful complementary means for clinicians to diagnose bone marrow edema.

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Predictive value of C-reactive protein for radiographic spinal progression in axial spondyloarthritis in dependence on genetic determinants of fibrin clot formation and fibrinolysis

RMD Open ◽

10.1136/rmdopen-2021-001751 ◽

2021 ◽

Vol 7 (2) ◽

pp. e001751

Author(s):

Berthold Hoppe ◽

Christian Schwedler ◽

Hildrun Haibel ◽

Maryna Verba ◽

Fabian Proft ◽

...

Keyword(s):

Predictive Value ◽

Axial Spondyloarthritis ◽

Fibrin Clot ◽

Clot Formation ◽

Genetic Determinants ◽

C Reactive Protein ◽

Inception Cohort ◽

Reactive Protein ◽

A Subunit ◽

Fibrin Clots

ObjectiveGenetic determinants of fibrin clot formation and fibrinolysis have an impact on local and systemic inflammatory response. The aim of the present study was to assess whether coagulation-related genotypes affect the predictive value of C-reactive protein (CRP) in regards of radiographic spinal progression in axial spondyloarthritis (axSpA).MethodsTwo hundred and eight patients with axSpA from the German Spondyloarthritis Inception Cohort were characterised for genotypes of α-fibrinogen, β-fibrinogen (FGB) and γ-fibrinogen, factor XIII A-subunit (F13A) and α2-antiplasmin (A2AP). The relation between CRP levels and radiographic spinal progression defined as worsening of the modified Stoke Ankylosing Spondylitis Spinal Score (mSASSS) by ≥2 points over 2 years was assessed in dependence on the respective genetic background in logistic regression analyses.ResultsOverall, CRP was associated with mSASSS progression ≥2 points: time-averaged CRP ≥10 mg/L, OR: 3.32, 95% CI 1.35 to 8.13. After stratification for coagulation-related genotypes, CRP was strongly associated with mSASSS progression in individuals predisposed to form loose, fibrinolysis-susceptible fibrin clots (FGB rs1800790GG, OR: 6.86, 95% CI 2.08 to 22.6; A2AP 6Trp, OR: 5.86, 95% CI 1.63 to 21.0; F13A 34Leu, OR: 8.72, 95% CI 1.69 to 45.1), while in genotypes predisposing to stable fibrin clots, the association was absent or weak (FGB rs1800790A, OR: 0.83, 95% CI 0.14 to 4.84; A2AP 6Arg/Arg, OR: 1.47, 95% CI 0.35 to 6.19; F13A 34Val/Val, OR: 1.72, 95% CI 0.52 to 5.71).ConclusionsElevated CRP levels seem to be clearly associated with radiographic spinal progression only if patients are predisposed for loose fibrin clots with high susceptibility to fibrinolysis.

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P181 Long-term improvement in axial spondyloarthritis clinical outcomes following 2-weeks of intensive education and rehabilitation: results from the Bath residential rehabilitation programme

Rheumatology ◽

10.1093/rheumatology/keab247.176 ◽

2021 ◽

Vol 60 (Supplement_1) ◽

Author(s):

Rosie Barnett ◽

Anita McGrogan ◽

Matthew Young ◽

Charlotte Cavill ◽

Mandy Freeth ◽

...

Keyword(s):

Quality Of Life ◽

Physical Activity ◽

Disease Activity ◽

Axial Spondyloarthritis ◽

Rehabilitation Programme ◽

Spinal Mobility ◽

The Impact

Abstract Background/Aims Axial spondyloarthritis (axSpA) is a chronic rheumatic condition, characterised by inflammatory back pain - often associated with impaired function and mobility, sleep disturbance, fatigue, and reduced quality of life. Despite the vast advances in pharmacological treatments for axSpA over the last few decades, physical activity and rehabilitation remain vital for effective disease management. At the Royal National Hospital for Rheumatic Diseases in Bath (RNHRD), the 2-week inpatient axSpA rehabilitation programme has been integral to axSpA care since the 1970’s. Prior research has demonstrated significant short-term improvements in spinal mobility (BASMI), function (BASFI) and disease activity (BASDAI) following course attendance. However, the long-term outcomes are yet to be evaluated in this unique cohort. Methods Since the early 1990’s, clinical measures of spinal mobility, function and disease activity have been routinely collected at the RNHRD at all clinical appointments through administration of the BASMI, BASFI and BASDAI, respectively. Dates of attending the axSpA course and standard clinical and treatment follow-up data were also collected. Multiple linear regression models were used to investigate the impact of course attendance on final reported BASMI, BASDAI and BASFI scores (final score=most recent). Length of follow-up was defined as time between first and last recorded BASMI. Results Of the 203 patients within the Bath SPARC200 cohort, 77.8% (158/203) had attended at least one rehabilitation course throughout follow-up. 70.0% (140/203) of patients were male. The mean duration of follow-up was 13.5 years (range 0-35 years); 28.1% (57/203) of individuals with 20+ years of follow-up. Course attendance (yes versus no) significantly reduced final BASMI score by 0.84 (p = 0.001, 95%CI -1.31 to -0.37) and final BASDAI score by 0.74 (p = 0.018, 95%CI -1.34 to -0.13). Although course attendance reduced final BASFI by 0.45 (95%CI -1.17 to 0.28), this relationship did not reach significance (p = 0.225). Whilst minimally clinically important difference (MCID) is, to our knowledge, yet to be defined for BASMI, MCIDs were achieved long-term for both BASDAI and BASFI - defined by van der Heijde and colleagues in 2016 as 0.7 and 0.4 for BASDAI and BASFI, respectively. Conclusion These results provide novel evidence to support the integral role of education, physical activity and rehabilitation in the management of axSpA. Future work should investigate additional outcomes of critical importance to patients and clinicians, such as fatigue, quality of life and work productivity. Furthermore, a greater understanding of the factors that confound these outcomes may provide insights into those patients who may most benefit from attending a 2-week rehabilitation course. In addition to facilitating identification of those patients who may require additional clinical support. Disclosure R. Barnett: None. A. McGrogan: None. M. Young: None. C. Cavill: None. M. Freeth: None. R. Sengupta: Honoraria; Biogen, Celgene, AbbVie, Novartis, MSD. Grants/research support; Novartis, UCB.

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Reference intervals of spinal mobility measures in normal individuals: the mobility study

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2013-204953 ◽

2014 ◽

Vol 74 (6) ◽

pp. 1218-1224 ◽

Cited By ~ 22

Author(s):

Sofia Ramiro ◽

Astrid van Tubergen ◽

Carmen Stolwijk ◽

Désirée van der Heijde ◽

Patrick Royston ◽

...

Keyword(s):

Axial Spondyloarthritis ◽

Cross Sectional Study ◽

Reference Intervals ◽

Spinal Mobility ◽

Cross Sectional ◽

Percentile Curves ◽

Normal Individuals ◽

And Gender ◽

Gender Specific ◽

Spinal Flexion

ObjectivesTo establish reference intervals (RIs) for spinal mobility measures as recommended for patients with axial spondyloarthritis, and to determine the effect of age, height and gender on spinal mobility, in normal individuals.MethodsA cross-sectional study (MOBILITY) was conducted among normal individuals aged 20–69 years. Recruitment was stratified by gender, age (10-year categories) and height (10 cm categories). Eleven spinal mobility measures were assessed. Age specific RIs and percentiles were derived for each measure.Results393 volunteers were included. All spinal mobility measures decreased with increasing age. Therefore, age specific RIs were developed. The 95% RIs (2.5th and 97.5th percentiles), as well as the 5th, 10th, 25th, 50th, 75th and 90th percentiles for each spinal mobility measure and different ages are presented. Mobility percentile curves were also plotted for each of the measures. For instance, the 95% RI for lateral spinal flexion was 16.2–28.0 cm for a 25-year-old subject, 13.2–25.0 cm for a 45-year-old subject and 10.1–21.9 cm for a 65-year-old subject. After adjustment for age, there was no need for gender specific RIs, while RIs of some measures are height-adjusted.ConclusionsAge specific RIs and percentiles were derived for each of the spinal mobility measures for normal individuals. These may guide clinicians when assessing the mobility of patients with axial spondyloarthritis. The RIs may serve as cut-off levels for ‘normal’ versus ‘abnormal’, whereas the mobility percentile curves may be used to assess the level of mobility of patients with axial spondyloarthritis.

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