Assessing and Optimizing Large Language Models on Spondyloarthritis Multi-Choice Question Answering: Protocol for Enhancement and Assessment.

BACKGROUND: Spondyloarthritis (SpA), a chronic inflammatory disorder, predominantly impacts the sacroiliac joints and spine, significantly escalating the risk of disability. SpA's complexity, as evidenced by its diverse clinical presentations and symptoms that often mimic other diseases, presents substantial challenges in its accurate diagnosis and differentiation. This complexity becomes even more pronounced in nonspecialist health care environments due to limited resources, resulting in delayed referrals, increased misdiagnosis rates, and exacerbated disability outcomes for patients with SpA. The emergence of large language models (LLMs) in medical diagnostics introduces a revolutionary potential to overcome these diagnostic hurdles. Despite recent advancements in artificial intelligence and LLMs demonstrating effectiveness in diagnosing and treating various diseases, their application in SpA remains underdeveloped. Currently, there is a notable absence of SpA-specific LLMs and an established benchmark for assessing the performance of such models in this particular field. OBJECTIVE: Our objective is to develop a foundational medical model, creating a comprehensive evaluation benchmark tailored to the essential medical knowledge of SpA and its unique diagnostic and treatment protocols. The model, post-pretraining, will be subject to further enhancement through supervised fine-tuning. It is projected to significantly aid physicians in SpA diagnosis and treatment, especially in settings with limited access to specialized care. Furthermore, this initiative is poised to promote early and accurate SpA detection at the primary care level, thereby diminishing the risks associated with delayed or incorrect diagnoses. METHODS: A rigorous benchmark, comprising 222 meticulously formulated multiple-choice questions on SpA, will be established and developed. These questions will be extensively revised to ensure their suitability for accurately evaluating LLMs' performance in real-world diagnostic and therapeutic scenarios. Our methodology involves selecting and refining top foundational models using public data sets. The best-performing model in our benchmark will undergo further training. Subsequently, more than 80,000 real-world inpatient and outpatient cases from hospitals will enhance LLM training, incorporating techniques such as supervised fine-tuning and low-rank adaptation. We will rigorously assess the models' generated responses for accuracy and evaluate their reasoning processes using the metrics of fluency, relevance, completeness, and medical proficiency. RESULTS: Development of the model is progressing, with significant enhancements anticipated by early 2024. The benchmark, along with the results of evaluations, is expected to be released in the second quarter of 2024. CONCLUSIONS: Our trained model aims to capitalize on the capabilities of LLMs in analyzing complex clinical data, thereby enabling precise detection, diagnosis, and treatment of SpA. This innovation is anticipated to play a vital role in diminishing the disabilities arising from delayed or incorrect SpA diagnoses. By promoting this model across diverse health care settings, we anticipate a significant improvement in SpA management, culminating in enhanced patient outcomes and a reduced overall burden of the disease. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57001.

Comparative Effectiveness of Tofacitinib and Adalimumab in Axial Spondyloarthritis: A Real-World Clinical Context Multicenter Study.

INTRODUCTION: Tofacitinib, an oral Janus kinase inhibitor, is a putative choice in the treatment of axial spondyloarthritis (AxSpA). The objective of this study was to compare the effectiveness and tolerability of tofacitinib with adalimumab, in AxSpA, in a real-world clinical setting. METHODS: In this multicentric medical records review study, adult patients with active AxSpA treated with either tofacitinib 5 mg twice daily or adalimumab 40 mg subcutaneously fortnightly were recruited. Effectiveness was measured with Ankylosing Spondylitis Disease Activity Score (ASDAS) and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI). Drug-cost analysis was calculated with Incremental Cost-Effectiveness Ratio (ICER drug ). RESULTS: Among the 266 patients, 135 were treated with tofacitinib and 131 with adalimumab (follow-up: 6.5 ± 1.6 months). Mean improvement of BASDAI (3.39 ± 0.09 vs. 3.14 ± 1.16, respectively) and that of ASDAS (1.78 ± 0.68 vs. 2.07 ± 2.08, respectively) were comparable between the adalimumab and tofacitinib groups. A higher proportion of patients achieved BASDAI50 response in the second (49.5% vs. 31.6%) and fourth month (83.9% vs. 62.8%) and ASDAS low disease activity in the fourth month (71.6% vs. 47.9%) in the adalimumab group. All disease activity measurements were similar by the sixth month in both groups. A higher proportion of patients in the tofacitinib group than in the adalimumab group required change in therapy (14.8% vs. 7.6%, respectively). ICER drug for adalimumab compared with tofacitinib was US $188.8 per patient in the adalimumab group for each person-month with BASDAI <4. CONCLUSIONS: Tofacitinib showed comparable effectiveness with adalimumab in patients with AxSpA at the sixth month, despite lesser response in the initial months, with favorable ICER drug .

Pre-assessment of patients with suspected axial spondyloarthritis combining student-led clinics and telemedicine: a qualitative study.

OBJECTIVE: Patients referred to rheumatologists are currently facing months of inefficient waiting time due to the increasing demand and rising workforce shortage. We piloted a pre-assessment of patients with suspected axial spondyloarthritis (axSpA) combining student-led clinics and telemedicine (symptom assessment, symptom monitoring and at-home capillary self-sampling) to improve access to rheumatology care. The aim of this study was to explore (1) current challenges accessing axSpA care and (2) patients' first-hand experiences. METHODS: Embedded within a clinical trial, this study was based on qualitative interviews with patients with suspected axSpA (n = 20). Data was analysed via qualitative content analysis. RESULTS: Student-led clinics were perceived as high-quality care, comparable to conventional rheumatologist-led visits. Patients expressed that their interactions with the students instilled a sense of trust. History-taking and examinations were perceived as comprehensive and meticulous. Telehealth tools were seen as empowering, offering immediate and continuous access to symptom assessment at home. Patients reported a lack of specificity of the electronic questionnaires, impeding accurate responses. Patients requested a comments area to supplement questionnaire responses. Some patients reported receiving help to complete the blood collection. CONCLUSION: Patients' access to rheumatology care is becoming increasingly burdensome. Pre-assessment including student-led clinics and telemedicine was highly accepted by patients. Patient interviews provided valuable in-depth feedback to improve the piloted patient pathway.

MRI for axial SpA: Diagnosis, disease activity assessment, and recent advances.

Magnetic resonance imaging (MRI) is a sensitive imaging modality to detect early inflammatory changes in axial spondyloarthritis (SpA). Over a decade has passed since the inclusion of MRI assessment in the 2009 Assessment of SpondyloArthritis International Society (ASAS) classification criteria for axial SpA. Evidence and clinical experience of MRI in axial SpA have accumulated rapidly since. This has led to a better understanding of the clinical utility of MRI in early diagnosis, disease activity assessment, and monitoring of treatment response in axial SpA. Furthermore, technological advancements have paved the way for the development of novel MRI sequences for the quantification of inflammation and image optimization. The field of artificial intelligence has also been explored to aid medical imaging interpretation, including MRI in axial SpA. This review serves to provide an update on the latest understanding of the evolving roles of MRI in axial SpA.

Prevalence of anxiety and depression and the association with self-management behaviour in >12 000 patients with inflammatory rheumatic disease: a cross-sectional nationwide study.

OBJECTIVE: To investigate the prevalence of anxiety and depression among patients with inflammatory arthritis (IA) and evaluate the association of these mental health issues with self-management behaviour. METHODS: In this nationwide cross-sectional study, we analysed data from 12 713 adult Danish patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA) or spondyloarthritis (SpA). Patients received an electronic questionnaire covering sociodemographics, self-management behaviour and mental health status. Questionnaire data were linked to clinical data from the Danish Rheumatology database (DANBIO) and the Danish National Patient Registry. The prevalence of anxiety and depression (by the Hospital Anxiety and Depression Scale for Anxiety (HADS-A) and Depression (HADS-D)) was estimated separately for RA/PsA/SpA. The association between mental health status and low self-management behaviour (adherence to treatment, health activation and physical activity) was estimated using multivariable logistic regression, adjusting for age, sex, educational level and comorbidity. RESULTS: The prevalence of anxiety (HADS-A≥8) was highest for patients with SpA (34.5% (95% CI 32.4% to 36.6%)) and lowest for patients with RA (22.1% (95% CI 21.2% to 23.0%)), it was higher for women, younger (<55 years) and recently diagnosed (<3 years) patients and those with basic education. Similar prevalence estimates were found for depression. Across diagnoses, the clinically relevant symptoms of anxiety and depression (HADS≥8) were significantly associated with low self-management behaviour. CONCLUSION: Patients with IA showed substantial levels of anxiety and depression. A statistically significant association between anxiety and depression and low self-management behaviour was identified. These findings call for a systematic approach to identifying mental health issues in patients with IA.

Characteristics and burden of disease in patients with radiographic versus non-radiographic axial spondyloarthritis in the ASRI cohort.

BACKGROUND: Axial spondyloarthritis (axSpA) comprises patients with both radiographic and non-radiographic features. Previous studies have shown similar burden of disease between these two groups. AIMS: The Ankylosing Spondylitis Registry of Ireland (ASRI) was formed with the objective to measure the burden of axial spondyloarthritis in the population and identify early predictors of a poor outcome. For this analysis, the ASRI database was used to compare the characteristics and burden of disease in patients with radiographic versus non-radiographic axial spondyloarthritis. METHODS: Patients with radiographic axial spondyloarthritis (r-axSpA) were defined as those with X-ray evidence of sacroiliitis. Patients with non-radiographic axial spondyloarthritis (nr-axSpA) were defined as having MRI evidence of sacroiliitis but no X-ray evidence of sacroiliitis. RESULTS: In total, 764 patients were included. Analysis of radiographic status showed 88.1% (n = 673) of patients with r-axSpA and 11.9% (n = 91) with nr-axSpA (Table 1). Patients with nr-axSpA were younger (41.3 vs. 46.6 years, p < 0.01), had shorter disease duration (14.8 vs. 20.2 years, p < 0.01) and had lower proportion of males (66.6% vs. 78.4%, p = 0.02) with lower frequency of HLA-B27 positivity (73.6% vs. 90.5%, p < 0.01). The nr-axSpA group had lower BASDAI (3.37 vs. 4.05, p = 0.01), BASFI (2.46 vs. 3.88, p < 0.01), BASMI (2.33 vs. 4.34, p < 0.01), ASQoL (5.2 vs. 6.67, p = 0.02) and HAQ scores (0.38 vs. 0.57, p < 0.01). There were no significant differences in the prevalence of extra-musculoskeletal manifestations or use of medications. CONCLUSIONS: This study provides evidence to suggest that the burden of disease is less in patients with non-radiographic axial spondyloarthritis than radiographic axial spondyloarthritis.

Stepwise asynchronous telehealth assessment of patients with suspected axial spondyloarthritis: results from a pilot study.

Patients with axial spondyloarthritis (axSpA) suffer from one of the longest diagnostic delays among all rheumatic diseases. Telemedicine (TM) may reduce this diagnostic delay by providing easy access to care. Diagnostic rheumatology telehealth studies are scarce and largely limited to traditional synchronous approaches such as resource-intensive video and telephone consultations. The aim of this study was to investigate a stepwise asynchronous telemedicine-based diagnostic approach in patients with suspected axSpA. Patients with suspected axSpA completed a fully automated digital symptom assessment using two symptom checkers (SC) (bechterew-check and Ada). Secondly, a hybrid stepwise asynchronous TM approach was investigated. Three physicians and two medical students were given sequential access to SC symptom reports, laboratory and imaging results. After each step, participants had to state if axSpA was present or not (yes/no) and had to rate their perceived decision confidence. Results were compared to the final diagnosis of the treating rheumatologist. 17 (47.2%) of 36 included patients were diagnosed with axSpA. Diagnostic accuracy of bechterew-check, Ada, TM students and TM physicians was 47.2%, 58.3%, 76.4% and 88.9% respectively. Access to imaging results significantly increased sensitivity of TM-physicians (p < 0.05). Mean diagnostic confidence of false axSpA classification was not significantly lower compared to correct axSpA classification for both students and physicians. This study underpins the potential of asynchronous physician-based telemedicine for patients with suspected axSpA. Similarly, the results highlight the need for sufficient information, especially imaging results to ensure a correct diagnosis. Further studies are needed to investigate other rheumatic diseases and telediagnostic approaches.

Factors Associated With Diagnostic Delay in Axial Spondyloarthritis: Impact of Clinical Factors and Social Vulnerability.

OBJECTIVE: Patients with axial spondyloarthritis (axSpA) often experience significant delay between symptom onset and diagnosis for reasons that are incompletely understood. We investigated associations between demographic, medical, and socioeconomic factors and axSpA diagnostic delay. METHODS: We identified patients meeting modified New York criteria for ankylosing spondylitis (AS) or 2009 Assessment of Spondyloarthritis International Society criteria for axSpA in the Mass General Brigham health care system between December 1990 and October 2021. We determined the duration of diagnostic delay, defined as the duration of back pain symptoms reported at diagnosis, as well as disease manifestations and specialty care prior to diagnosis from the electronic health record. We obtained each patient's Social Vulnerability Index (SVI) by mapping their address to the US Centers for Disease Control SVI Atlas. We examined associations among disease manifestations, SVI, and diagnostic delay using ordinal logistic regression. RESULTS: Among 554 patients with axSpA who had a median diagnostic delay of 3.8 years (interquartile range 1.1-10), peripheral arthritis (odds ratio [OR] 0.65, 95% confidence interval [CI] 0.45-0.93) and older age at symptom onset (OR 0.83, 95% CI 0.78-0.88 per five years) were associated with shorter delay. AS at diagnosis (OR 1.85, 95% CI 1.30-2.63), a history of uveitis prior to diagnosis (OR 2.77, 95% CI 1.73-4.52), and higher social vulnerability (defined as national SVI 80th to 99th percentiles; OR 1.99, 95% CI 1.06-3.84) were associated with longer diagnostic delay. CONCLUSION: Older age at back pain onset and peripheral arthritis were associated with shorter delay, whereas uveitis was associated with longer diagnostic delay. Patients with higher socioeconomic vulnerability had longer diagnostic delay independent of clinical factors.

Impact of disease outcomes on the Assessment of SpondyloArthritis International Society Health Index (ASAS HI): a Bayesian network analysis of the DESIR cohort.

OBJECTIVE: The objective of this study is to build a structural model visualising and quantifying the interrelationships of different disease outcomes with the Assessment of SpondyloArthritis International Society Health Index (ASAS HI) in patients with axial spondyloarthritis (axSpA). METHODS: Cross-sectional data collected at month 72 of the Devenir des Spondylarthropathies Indifferénciées Récentes cohort was analysed. Combining prior knowledge and observed data, probabilistic Bayesian network modelling was used to study how the interplay of different disease outcomes affects the ASAS HI, which measures disease-specific overall functioning and health. Disease outcomes comprised, among others, the Ankylosing Spondylitis (AS) Disease Activity Score (ASDAS) and the Bath AS Functional Index (BASFI). RESULTS: Data of 384 patients were analysed. The obtained structure suggests that ASAS HI is determined by both patient-reported physical function (BASFI) and disease activity (ASDAS). The parameters of the structural model show that an increase of ASDAS or BASFI by 1 unit corresponds to an increase of ASAS HI by 0.70 or 1.25 units, respectively. Moreover, the model suggests that disease activity has an indirect impact on ASAS HI via BASFI. No relationship between spinal mobility or structural damage and ASAS HI was found. CONCLUSIONS: This is the first structural model developed to better understand the construct and the interplay between clinically relevant outcomes related to ASAS HI in axSpA patients. It shows that disease activity and physical function have a strong impact on ASAS HI, confirming it to be a valid construct of overall functioning and health in axSpA patients.

Assessment of axial spondyloarthritis activity using a magnetic resonance imaging-based multi-region-of-interest fusion model.

BACKGROUND: Identifying axial spondyloarthritis (axSpA) activity early and accurately is essential for treating physicians to adjust treatment plans and guide clinical decisions promptly. The current literature is mostly focused on axSpA diagnosis, and there has been thus far, no study that reported the use of a radiomics approach for differentiating axSpA disease activity. In this study, the aim was to develop a radiomics model for differentiating active from non-active axSpA based on fat-suppressed (FS) T2-weighted (T2w) magnetic resonance imaging (MRI) of sacroiliac joints. METHODS: This retrospective study included 109 patients diagnosed with non-active axSpA (n = 68) and active axSpA (n = 41); patients were divided into training and testing cohorts at a ratio of 8:2. Radiomics features were extracted from 3.0 T sacroiliac MRI using two different heterogeneous regions of interest (ROIs, Circle and Facet). Various methods were used to select relevant and robust features, and different classifiers were used to build Circle-based, Facet-based, and a fusion prediction model. Their performance was compared using various statistical parameters. p < 0.05 is considered statistically significant. RESULTS: For both Circle- and Facet-based models, 2284 radiomics features were extracted. The combined fusion ROI model accurately differentiated between active and non-active axSpA, with high accuracy (0.90 vs.0.81), sensitivity (0.90 vs. 0.75), and specificity (0.90 vs. 0.85) in both training and testing cohorts. CONCLUSION: The multi-ROI fusion radiomics model developed in this study differentiated between active and non-active axSpA using sacroiliac FS T2w-MRI. The results suggest MRI-based radiomics of the SIJ can distinguish axSpA activity, which can improve the therapeutic result and patient prognosis. To our knowledge, this is the only study in the literature that used a radiomics approach to determine axSpA activity.

Difficult-to-treat axial spondyloarthritis is associated with psoriasis, peripheral involvement and comorbidities: results of an observational nationwide study.

OBJECTIVES: To determine the cumulative incidence and identify the factors associated with difficult-to-treat axial spondyloarthritis (D2T-axSpA) in French patients newly benefiting from the French 'long-term illness' (LTI) social security scheme for axial spondyloarthritis (axSpA). METHODS: This national cohort study was based on the French National Medico-Administrative Database, SNDS, which contains data on hospitalisation, LTI and outpatient care consumption. All French patients newly receiving LTI benefits for ankylosing spondylitis (AS) between 2010 and 2013 were included in the study. In France, LTI is required to access biological/targeted synthetic DMARDs (b/tsDMARDs). The follow-up period ended on 31 December 2018. So-called D2T-axSpA was defined as the failure of three b/tsDMARDs or of two b/tsDMARDs with different modes of action. Comorbidities and extra-musculoskeletal manifestations were identified using previously described algorithms. Characteristics were compared between patients with D2T-axSpA and patients with non-D2T-axSpA who had received at least one b/tsDMARD with bivariate and multivariate analysis using logistic regression. Incidence rates of major cardiovascular event (MACE) and death were compared using competitive risk analysis. RESULTS: 22 932 patients were included. 10 798 (47.08%) patients received at least one bDMARD. None received tsDMARD. During follow-up, 2115 patients were classified as having D2T-axSpA, representing 19.59% of patients who received at least one bDMARD. In multivariate analysis, D2T-axSpA was significantly associated with female gender, peripheral involvement, psoriasis, hypertension and depression (p<0.001 for each case). There was no difference in the incidence of MACE (p=0.92) or death (p=0.87). CONCLUSION: D2T-axSpA affects one in five patients exposed to bDMARDs in this national cohort. D2T-axSpA is more common in women and patients with peripheral involvement and/or comorbidities.

Identifying Predictors of First-Line Subcutaneous TNF-Inhibitor Persistence in Patients with Inflammatory Arthritis: A Decision Tree Analysis by Indication.

INTRODUCTION: Treatment persistence is a proxy for efficacy, safety and patient satisfaction, and a switch in treatment or treatment discontinuation has been associated with increased indirect and direct costs in inflammatory arthritis (IA). Hence, there are both clinical and economic incentives for the identification of factors associated with treatment persistence. Until now, studies have mainly leveraged traditional regression analysis, but it has been suggested that novel approaches, such as statistical learning techniques, may improve our understanding of factors related to treatment persistence. Therefore, we set up a study using nationwide Swedish high-coverage administrative register data with the objective to identify patient groups with distinct persistence of subcutaneous tumor necrosis factor inhibitor (SC-TNFi) treatment in IA, using recursive partitioning, a statistical learning algorithm. METHODS: IA was defined as a diagnosis of rheumatic arthritis (RA), ankylosing spondylitis/unspecified spondyloarthritis (AS/uSpA) or psoriatic arthritis (PsA). Adult swedish biologic-naïve patients with IA initiating biologic treatment with a SC-TNFi (adalimumab, etanercept, certolizumab or golimumab) between May 6, 2010, and December 31, 2017. Treatment persistence of SC-TNFi was derived based on prescription data and a defined standard daily dose. Patient characteristics, including age, sex, number of health care contacts, comorbidities and treatment, were collected at treatment initiation and 12 months before treatment initiation. Based on these characteristics, we used recursive partitioning in a conditional inference framework to identify patient groups with distinct SC-TNFi treatment persistence by IA diagnosis. RESULTS: A total of 13,913 patients were included. Approximately 50% had RA, while 27% and 23% had AS/uSpA and PsA, respectively. The recursive partitioning algorithm identified sex and treatment as factors associated with SC-TNFi treatment persistence in PsA and AS/uSpA. Time on treatment in the groups with the lowest treatment persistence was similar across all three indications (9.5-11.3 months), whereas there was more variation in time on treatment across the groups with the highest treatment persistence (18.4-48.9 months). CONCLUSIONS: Women have low SC-TNFi treatment persistence in PsA and AS/uSpA whereas male sex and golimumab are associated with high treatment persistence in these indications. The factors associated with treatment persistence in RA were less distinct but may comprise disease activity and concurrent conventional systemic disease-modifying anti-rheumatic drug (DMARD) treatment.

Assessment of self-esteem and community integration in spondyloarthritis.

INTRODUCTION: The aim of this study was to identify the associated factors with lower self-esteem and restriction in community reintegration in SpA patients. METHODS: This study was a cross-sectional study including SpA patients (ASAS criteria) aged 18-50 years. The level of self-esteem was assessed using the Rosenberg Self-Esteem Scale (RSES). The Reintegration to Normal Living Index (RNLI) evaluated the degree of reintegration to normal social activities. Anxiety, depression, and fibromyalgia were screened by the Hospital Anxiety and Depression Scale (HADS)-A, HADS-D, and FiRST, respectively. Statistical analysis was performed. RESULTS: A total of 72 patients were enrolled (sex-ratio=1.88), with median (IQR) age of 39 years (28.25-46). Median (IQR) disease duration was 10 (6-14) years. Median (IQR) BASDAI and ASDAS were 3 (2.1-4.7) and 2.7 (1.9-3.48), respectively. Anxiety symptoms were screened in 10% of SpA patients, depression in 11%; and fibromyalgia in 10%. Median (IQR) RSES and RNLI scores were 30 (23.25-34), and 83 (53.25-93.25), respectively. Multivariate regression analysis identified the domain (work) of pain interference, VAS pain, HAD anxiety, PGA, marital status, and morning stiffness as factors associated with lower self-esteem. Restriction in the reintegration community was predicted by the presence of IBD, VAS pain, FIRST, deformity, enjoyment of life, and HAD depression. CONCLUSION: Pain intensity and interference, deformities, extra-articular manifestations, and deterioration of mental health were associated with low self-esteem and severe restriction in community reintegration among patients with SpA rather than inflammatory parameters.

A deep learning model for the diagnosis of sacroiliitis according to Assessment of SpondyloArthritis International Society classification criteria with magnetic resonance imaging.

PURPOSE: The purpose of this study was to develop and evaluate a deep learning model to detect bone marrow edema (BME) in sacroiliac joints and predict the MRI Assessment of SpondyloArthritis International Society (ASAS) definition of active sacroiliitis in patients with chronic inflammatory back pain. MATERIALS AND METHODS: MRI examinations of patients from the French prospective multicenter DESIR cohort (DEvenir des Spondyloarthropathies Indifférenciées Récentes) were used for training, validation and testing. Patients with inflammatory back pain lasting three months to three years were recruited. Test datasets were from MRI follow-ups at five years and ten years. The model was evaluated using an external test dataset from the ASAS cohort. A neuronal network classifier (mask-RCNN) was trained and evaluated for sacroiliac joints detection and BME classification. Diagnostic capabilities of the model to predict ASAS MRI active sacroiliitis (BME in at least two half-slices) were assessed using Matthews correlation coefficient (MCC), sensitivity, specificity, accuracy and AUC. The gold standard was experts' majority decision. RESULTS: A total of 256 patients with 362 MRI examinations from the DESIR cohort were included, with 27% meeting the ASAS definition for experts. A total of 178 MRI examinations were used for the training set, 25 for the validation set and 159 for the evaluation set. MCCs for DESIR baseline, 5-years, and 10-years follow-up were 0.90 (n = 53), 0.64 (n = 70), and 0.61 (n = 36), respectively. AUCs for predicting ASAS MRI were 0.98 (95% CI: 0.93-1), 0.90 (95% CI: 0.79-1), and 0.80 (95% CI: 0.62-1), respectively. The ASAS external validation cohort included 47 patients (mean age 36 ± 10 [SD] years; women, 51%) with 19% meeting the ASAS definition. MCC was 0.62, sensitivity 56% (95% CI: 42-70), specificity 100% (95% CI: 100-100) and AUC 0.76 (95% CI: 0.57-0.95). CONCLUSION: The deep learning model achieves performance close to those of experts for BME detection in sacroiliac joints and determination of active sacroiliitis according to the ASAS definition.

Role of advanced MRI techniques for sacroiliitis assessment and quantification.

The introduction of MRI was supposed to be a qualitative leap for the evaluation of Sacroiliac Joint (SIJ) in patients with Axial Spondyloarthropathies (AS). In fact, MRI findings such as bone marrow edema around the SIJ has been incorporated into the Assessment in SpondyloArthritis International Society (ASAS criteria). However, in the era of functional imaging, a qualitative approach to SIJ by means of conventional MRI seems insufficient. Advanced MRI sequences, which have successfully been applied in other anatomical areas, are demonstrating their potential utility for a more precise assessment of SIJ. Dixon sequences, T2-mapping, Diffusion Weighted Imaging or DCE-MRI can be properly acquired in the SIJ with promising and robust results. The main advantage of these sequences resides in their capability to provide quantifiable parameters that can be used for diagnosis of AS, surveillance or treatment follow-up. Further studies are needed to determine if these parameters can also be integrated into ASAS criteria for reaching a more precise classification of AS based not only on visual assessment of SIJ but also on measurable data.

Spondyloarthritis and Sarcopenia: Prevalence of Probable Sarcopenia and its Impact on Disease Burden: The Saspar Study.

To evaluate the prevalence of probable, confirmed, and severe sarcopenia in spondyloarthritis (SpA), according to the European Working Group on Sarcopenia in Older People 2019 (EWGSOP2) definition. A total of 103 patients (51% women) with SpA, mean age 47.1 ± 13.7 years, were included and compared to 103 age- and sex-matched controls. Grip strength was measured by dynamometry. Body composition was assessed by whole-body densitometry. In SpA patients gait speed was measured by the 4-m-distance walk test and quality of life was evaluated with a specific health-related questionnaire for sarcopenia (SaRQoL®). Twenty-two SpA patients (21%) versus 7 controls (7%) had a low grip strength, i.e., probable sarcopenia (p < 0.01), 15 SpA (15%) patients and 7 controls (7%) had low Skeletal Muscle mass Index (SMI) (ns), respectively, and 5 and 2% of SpA patients and controls had low grip strength and low SMI, i.e., confirmed sarcopenia (ns). All the sarcopenic SpA patients had a low gait speed, i.e., severe sarcopenia. Finally, probable sarcopenic SpA patients had significantly higher C-Reactive Protein (CRP, p < 0.001) and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI score, p < 0.01), lower gait speed (p < 0.001), and SarQoL® score (p < 0.001) than SpA patients with normal grip strength. According to EWGSOP2 definition, the prevalence of probable sarcopenia was significantly higher in SpA patients compared to controls. Probable sarcopenia was associated with higher inflammation and disease activity, impaired muscle performance, and quality of life. These results suggest that muscle strength may be a salient hallmark in SpA.

Site-specific assessment of spinal radiographic progression improves detection of TNF blocker-associated disease modification in axial spondyloarthritis: longitudinal observational data from the Swiss Clinical Quality Management Registry.

OBJECTIVES: To analyse whether time-varying treatment with tumour necrosis factor inhibitors (TNFi) in radiographic axial spondyloarthritis (r-axSpA) has a differential impact on structural damage progression on different spinal segments (cervical versus lumbar spine). METHODS: Patients with r-axSpA in the Swiss Clinical Quality Management cohort were included if cervical and lumbar radiographs were available at intervals of 2 years for a maximum of 10 years. Paired radiographs were scored by two calibrated readers according to the modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). The relationship between TNFi use and progression in the cervical and the lumbar spine was analysed using generalised estimating equation models and adjustment for potential confounding. Radiographic progression per spinal segment was defined as an increase of ≥ 1 mSASSS unit or by the formation of ≥ 1 new syndesmophyte over 2 years. RESULTS: Mean ± SD symptom duration was 13.8 ± 9.8 years. Mean ± SD mSASSS progression per radiographic interval was 0.41 ± 1.69 units in the cervical spine and 0.45 ± 1.45 units in the lumbar spine (p = 0.66). Prior use of TNFi significantly reduced the odds of progression in the cervical spine by 68% (OR 0.32, 95% CI 0.14-0.72), but not in the lumbar spine (OR 0.99, 95% CI 0.52-1.88). A more restricted inhibition of progression in the lumbar spine was confirmed after multiple imputation of missing covariate data (OR 0.43, 95% CI 0.24-0.77 and 0.85, 95% CI 0.51-1.41, for the cervical and lumbar spine, respectively). It was also confirmed with progression defined as formation of ≥ 1 syndesmophyte (OR 0.31, 95% CI 0.12-0.80 versus OR 0.56, 95% CI 0.26-1.24 for the cervical and lumbar spine, respectively). CONCLUSION: Disease modification by treatment with TNFi seems to more profoundly affect the cervical spine in this r-axSpA population with longstanding disease. Site-specific analysis of spinal progression might, therefore, improve detection of disease modification in clinical trials in axSpA.

Clinimetric Validation of the Assessment of Spondyloarthritis International Society Health Index in Patients With Radiographic Axial Spondyloarthritis in Ixekizumab Trials.

OBJECTIVE: To assess test-retest reliability, construct validity, known groups discrimination, and responsiveness of the Assessment of the SpondyloArthritis international Society Health Index (ASAS HI) to evaluate functioning, disability, and health in patients with radiographic axial spondyloarthritis (r-axSpA). METHODS: Data were generated from 2 randomized, placebo-controlled, active-controlled phase III ixekizumab studies (COAST-V, N = 341; COAST-W, N = 316). Assessments included the following: test-retest reliability (ie, intraclass correlation coefficients [ICCs] between ASAS HI scores at screening and baseline), construct validity (ie, Spearman correlation with standard r-axSpA outcome measures), known groups discrimination (ie, 1-way ANOVA comparing the ASAS HI with different disease activity categories, measured by the Ankylosing Spondylitis Disease Activity Score [ASDAS]), and responsiveness (ie, Spearman correlation between changes in the ASAS HI and changes in the Bath Ankylosing Spondylitis Functional Index [BASFI], the Bath Ankylosing Spondylitis Disease Activity Index [BASDAI], the ASDAS, and the Patient Global Assessment [PtGA] as well as ANOVA comparing changes in the ASAS HI with various responder categories). RESULTS: The ICC for test-retest reliability was 0.78 for COAST-V and 0.76 for COAST-W, indicating adequate agreement. Moderate-to-large correlations (r = 0.40-0.61) were observed between the ASAS HI and the BASDAI. Statistically significant differences (all P < 0.001) between mean ASAS HI scores were observed for subgroups based on ASDAS-defined disease activity categories at baseline and week 16. Moderate-to-large correlations existed between changes in the ASAS HI and the BASFI, BASDAI, ASDAS, and PtGA from baseline to week 16. The ASAS HI differentiated statistically (P < 0.001) between ASAS, BASDAI, and ASDAS response groups. CONCLUSION: The ASAS HI demonstrated reliability, construct validity, known groups discrimination, and responsiveness in adults with r-axSpA in 2 clinical trials.

Effectiveness and cost-effectiveness of combined asynchronous telemonitoring and patient-initiated care for spondyloarthritis: protocol for a pragmatic multicentre randomised controlled trial (TeleSpA Study).

INTRODUCTION: During the COVID-19 pandemic, an accelerated uptake of remote monitoring strategies, replacing traditional face-to-face care, has been observed. However, data on the effects of remote care interventions for patients with rheumatic and musculoskeletal diseases remain scarce and interpretation is hampered by study heterogeneity and research quality concerns. High-quality evidence is required to guide future implementation in clinical practice, with health economic analyses identified as an important knowledge gap. Randomised controlled trials (RCTs) comparing telemonitoring with conventional care for patients with spondyloarthritis (SpA) are currently lacking. METHODS AND ANALYSIS: TeleSpA is a pragmatic, multicentre RCT investigating the effectiveness and cost-effectiveness of combined asynchronous telemonitoring and patient-initiated follow-up for patients with SpA, compared with conventional care. Two-hundred patients will be recruited at two hospitals and randomised (1:1) to the study intervention or standard care. The primary endpoint is a reduction in the number of follow-up visits by ≥25% in the intervention compared with standard care group, during a 1-year period. Secondary endpoints are (a) non-inferiority of the study intervention with regard to health outcomes, quality of care and patient-reported experience with care; and (b) cost-effectiveness of the intervention, evaluated through a prospective trial-based cost-utility analysis. In addition, experiences with the study intervention will be assessed among patients and healthcare providers, and factors associated with primary and secondary endpoints will be identified. ETHICS AND DISSEMINATION: This study was approved by the Medical Research Ethics Committee of the Academic Hospital Maastricht/Maastricht University (NL71041.068.19/METC 19-059). Results will be disseminated through publications in peer-reviewed journals and conference presentations. TRIAL REGISTRATION NUMBER: NCT04673825.