Utility of multi-biomarker panel on discriminating disease activity in patients with psoriatic arthritis.

OBJECTIVE: To investigate the correlation of serum protein biomarkers and disease activity in patients with PsA. METHODS: 176 patients fulfilled the CASPAR (ClASsification criteria for Psoriatic ARthritis) were recruited in this cross-sectional study. The level of 48 protein biomarkers, cartilage and bone turn-over markers were assessed. The patients were randomly divided into a derivation-cohort and a validation-cohort at a ratio of 7:3. Patients were further categorized based on their disease activity states using cDAPSA (remission/low disease activity and moderate/high disease activity). Least absolute shrinkage and selection operator (LASSO) was used to select biomarkers which were associated with moderate/high disease activity in the derivation cohort. Receiver operating characteristic (ROC) curve, GiViTI calibration belt were used to assess the performance of the model in both cohorts. RESULTS: The cohort [age: 55.5 (44.0-62.75) years, male: 80 (45.5 %)] had moderate disease activity [DAPSA: 15.9 (8.3-26.9); PASI: 3.2 (0.5-6.8)]. 101 PsA patients (57.4 %) had clinical DAPSA moderate/high disease activity. Biomarker levels associated with moderate/high disease activity included SAA (Serum amyloid A), IL-8 (Interleukin 8), IP10 (Interferon gamma-induced protein 10)/CXCL10, M-CSF (Macrophage colony-stimulating factor), SCGF-ß (Stem cell growth factor), SDF-1α (Stromal cell-derived factor 1α)/CXCL12. The model's equation including the 6 biomarker levels was applied to the validation-cohort. The area under the ROC curve (AUC) for discriminating moderate/high disease activity was 0.802 and 0.835 for the derivation-and-validation-cohorts, respectively. The multi-biomarkers panel model had higher-AUC when compared with that of C-reactive protein (CRP) (AUC = 0.727, p = 0.022). The P-values of calibration charts in the two sets were 0.902 and 0.123. CONCLUSIONS: The multi-biomarkers panel demonstrated the ability to discriminate patients with moderate/high disease activity from those with low disease activity/remission.

Precision medicine in axial spondyloarthritis: current opportunities and future perspectives.

Axial spondyloarthritis (axSpA) is a complex disease characterized by a diverse range of clinical presentations. The primary manifestation is inflammatory lower back pain, often accompanied by other clinical manifestations such as peripheral arthritis, enthesitis, uveitis, psoriasis, and inflammatory bowel disease. However, the presentation of axSpA can vary widely among patients. Despite extensive research, the precise pathogenesis of axSpA remains largely unknown. The lack of complete understanding poses challenges in subgrouping the disease, developing specific treatment approaches, and predicting treatment response. In this review, we will explore the limitations in diagnosing and treating axSpA. In addition, we will examine the current knowledge and potential opportunities provided by various omics and technological advancements in enhancing the diagnosis and personalized treatment of axSpA.

Precision medicine in axial spondyloarthritis: current opportunities and future perspectives The precise pathogenesis of axSpA remains unknown and is likely to be complex. Further efforts are needed to understand the disease mechanism to improve patient classification. Precision diagnosis integrates genetic data, environmental factors, and clinical characteristics to define subcategories. With the rapid advancement of technology, conducting more studies on the mechanism of SpA using multi-omics technology may yield new insights into the disease. It is also important to strike a balance between early treatment and avoiding overtreatment. Future studies should aim to combine multi-omic data, allowing the development of a more precise and individualized treatment strategy for SpA patients.

Imaging in psoriatic arthritis: established methods and emerging techniques.

Psoriatic arthritis (PsA) is a heterogeneous, chronic, inflammatory musculoskeletal disease that can lead to peripheral and axial damage and loss of function. A clear difference between PsA and other forms of inflammatory arthritis is the different forms of bone remodeling seen in PSA which incorporates not only increased bone resorption with bone erosions, osteolysis, and loss of bone mineral density but also increased bone formation with periostitis, syndesmophytes, enthesiophytes, and ankylosis. PsA, if diagnosed late, will lead to significant structural damage, the most severe form of which is known as arthritis mutilans, and loss of physical function. Imaging plays a crucial role in diagnosing and monitoring both peripheral and axial conditions associated with PsA. Radiography is currently the main modality used to monitor structural damage in PsA though commonly used scoring systems do not include bony proliferation as a criterion. Besides, radiography is limited in determining the presence and cause of periarticular soft tissue thickening, which may arise from tendinosis, tenosynovitis, synovial proliferation, bursitis, or enthesitis. Recently, much more attention has been paid to determining the imaging characteristics of PsA, which enables more precise identification of disease and severity assessment. Newer imaging technologies also enable variations in normal bone microstructure to be distinguished from disease-related abnormality. This review discusses the current state of innovative imaging modalities in PsA, specifically concentrating on their roles in PsA diagnosis and treatment, improving the early detection of PsA, and identifying patients with skin psoriasis at risk of developing psoriatic arthritis.

Erosion regression in patients with rheumatoid arthritis after upadacitinib-a pilot study using high resolution peripheral quantitative computed tomography.

OBJECTIVES: To evaluate whether inhibition of Janus kinases (JAK) 1 could lead to erosion repair on high-resolution peripheral quantitative computer tomography (HR-pQCT) in patients with active rheumatoid arthritis (RA). METHODS: This was a prospective, non-randomized pilot study. We enrolled 20 adult patients with active RA with ≥1 bone erosion on HR-pQCT. They were given upadacitinib 15 mg once daily for 24 weeks. HR-pQCT of the metacarpophalangeal joint was performed at baseline and 24-week. The serum bone biomarkers level was evaluated before and after treatment. Twenty age-and-sex matched RA patients from another study treated with conventional synthetic disease modifying anti-rheumatic drugs (csDMARDs) were included as active controls. RESULTS: Nineteen patients in the upadacitinib group completed the study procedures. After 24 weeks, despite similar improvement in disease activity, a reversed trend in the mean erosion volume change on HR-pQCT was observed comparing the upadacitinib and active control group (upadacitinib group: -0.23 ± 3.26mm3 vs control group: 1.32 ± 6.05mm3, p= 0.131). A greater proportion of erosions in the upadacitinib group demonstrated regression (27% vs 12%, p= 0.085). Using general estimating equation (GEE), the use of upadacitinib was significantly associated with erosion regression (OR: 3.61, 95% CI: 1.00-13.00, p= 0.049) after adjusting for the difference in disease duration. The serum levels of bone resorption markers reduced after upadacitinib treatment. No new safety signal was noted. CONCLUSION: Despite a similar improvement in RA disease activity after upadacitinib compared with csDMARDs, a differential regression of erosion on HR-pQCT was observed in patients received upadacitinib. The potential role of JAK1 inhibition in erosion repair should be investigated.

Automated quantification of wrist bone marrow oedema, pre- and post-treatment, in early rheumatoid arthritis.

Objective: Bone inflammation (osteitis) in early RA (ERA) manifests as bone marrow oedema (BME) and precedes the development of bone erosion. In this prospective, single-centre study, we developed an automated post-processing pipeline for quantifying the severity of wrist BME on T2-weighted fat-suppressed MRI. Methods: A total of 80 ERA patients [mean age 54 years (s.d. 12), 62 females] were enrolled at baseline and 49 (40 females) after 1 year of treatment. For automated bone segmentation, a framework based on a convolutional neural network (nnU-Net) was trained and validated (5-fold cross-validation) for 15 wrist bone areas at baseline in 60 ERA patients. For BME quantification, BME was identified by Gaussian mixture model clustering and thresholding. BME proportion (%) and relative BME intensity within each bone area were compared with visual semi-quantitative assessment of the RA MRI score (RAMRIS). Results: For automated wrist bone area segmentation, overall bone Sørensen-Dice similarity coefficient was 0.91 (s.d. 0.02) compared with ground truth manual segmentation. High correlation (Pearson correlation coefficient r = 0.928, P < 0.001) between visual RAMRIS BME and automated BME proportion assessment was found. The automated BME proportion decreased after treatment, correlating highly (r = 0.852, P < 0.001) with reduction in the RAMRIS BME score. Conclusion: The automated model developed had an excellent segmentation performance and reliable quantification of both the proportion and relative intensity of wrist BME in ERA patients, providing a more objective and efficient alternative to RAMRIS BME scoring.

Impact of inflammation and anti-inflammatory therapies on the incidence of major cardiovascular events in patients with ankylosing spondylitis: A population-based study.

OBJECTIVE: To examine the independent effect of inflammatory burden and various treatments on the risk of incident major adverse cardiovascular events (MACE) in ankylosing spondylitis (AS) patients. METHODS: AS patients were retrospectively selected from a territory-wide database between 2006 and 2015, and were followed until the end of 2018. The primary outcome was the first occurrence of MACE. Multivariate time-varying Cox proportional hazard models were used to determine the associations between inflammatory burden (measured by c-reactive protein [CRP] and erythrocyte sedimentation rate [ESR]) and different therapies with incident MACE, after adjusting for traditional cardiovascular (CV) risk factors. RESULTS: A total of 3827 patients with AS (mean age: 45.2 ± 15.0 years, male: 2911 [76.1 %]) were recruited. After a follow-up of 23,275 person-years, 135 patients (3.5 %) developed a first MACE. Univariate analyses showed that elevated ESR and CRP levels, and the use of glucocorticoids were associated with a significantly higher risk of MACE, while the use of sulfasalazine (SLZ), biologic DMARDs and non-cyclooxygenase-2 inhibitors (non-COX-IIi) were associated with reduced risk of MACE. After adjusting for CV risk factors in the multivariable models, only ESR (HR: 1.02; ESR ≥30 mm/h, HR:1.94) and CRP level (HR: 1.14; CRP >3 mg/dl HR:5.43) remained significantly associated with increased risk of MACE, while SLZ use (HR: 0.41-0.52) was protective against MACE. CONCLUSION: High inflammatory burden was an independent predictor associated with an increased risk of MACE, while the use of SLZ might reduce risk of incident MACE in patients with AS.

DCES-PA: Deformation-controllable elastic shape model for 3D bone proliferation analysis using hand HR-pQCT images.

Bone proliferation is an important pathological feature of inflammatory rheumatic diseases. Although recent advance in high-resolution peripheral quantitative computed tomography (HR-pQCT) enables physicians to study microarchitectures, physicians' annotation of proliferation suffers from slice inconsistency and subjective variations. Also, there are only few effective automatic or semi-automatic tools for proliferation detection. In this study, by integrating pathological knowledge of proliferation formation with the advancement of statistical shape analysis theory, we present an unsupervised method, named Deformation-Controllable Elastic Shape model, for 3D bone Proliferation Analysis (DCES-PA). Unlike previous shape analysis methods that directly regularize the smoothness of the displacement field, DCES-PA regularizes the first and second-order derivative of the displacement field and decomposes these vector fields according to different deformations. For the first-order elastic metric, DCES-PA orthogonally decomposes the first-order derivative of the displacement field by shearing, scaling and bending deformation, and then penalize deformations triggering proliferation formation. For the second-order elastic metric, DCES-PA encodes both intrinsic and extrinsic surface curvatures into the second-order derivative of the displacement field to control the generation of high-curvature regions. By integrating the elastic shape metric with the varifold distances, DCES-PA achieves correspondence-free shape analysis. Extensive experiments on both simulated and real clinical datasets demonstrate that DCES-PA not only shows an improved accuracy than other state-of-the-art shape-based methods applied to proliferation analysis but also produces highly sensitive proliferation annotations to assist physicians in proliferation analysis.

Continuous improvement through differential trajectories of individual minimal disease activity criteria with guselkumab in active psoriatic arthritis: post hoc analysis of a phase 3, randomized, double-blind, placebo-controlled study.

BACKGROUND: To explore the trajectory of, and factors contributing to, achievement of individual criteria of minimal disease activity (MDA) in patients with active psoriatic arthritis (PsA) treated with guselkumab. METHODS: The Phase 3, randomized, placebo-controlled DISCOVER-2 study enrolled adults (N = 739) with active PsA despite standard therapies who were biologic/Janus kinase inhibitor-naive. Patients were randomized 1:1:1 to guselkumab 100 mg every 4 weeks; guselkumab 100 mg at week 0, week 4, then every 8 weeks; or placebo. In this post hoc analysis, patients randomized to guselkumab were included and pooled (N = 493). Longitudinal trajectories of achieving each MDA criterion through week 100 were derived using non-responder imputation. Time to achieve each criterion was estimated with Kaplan-Meier analysis. Multivariate regression for time to achieve each criterion (Cox regression) and achievement at week 100 (logistic regression) was used to identify contributing factors. RESULTS: Continuous improvement across all MDA domains was shown over time. ~70% of patients achieved near remission in swollen joint count (SJC), Psoriasis Area and Severity Index (PASI), and enthesitis through week 100. Median times to achieve individual criteria differed significantly (p < 0.0001), with SJC ≤ 1 (20 weeks), PASI ≤ 1 (16 weeks), and ≤ 1 tender entheses (16 weeks) being faster than patient-reported criteria (pain ≤ 15 mm, patient global assessment of arthritis and psoriasis ≤ 20 mm, Health Assessment Questionnaire-Disability Index ≤ 0.5) and tender joint count ≤ 1. Higher baseline domain scores, older age, worse fatigue, and increased body mass index were significant predictors of longer time to achieve minimal levels of disease activity assessed via patient-reported criteria. CONCLUSIONS: Substantial proportions of guselkumab-treated patients achieved individual MDA criteria, each showing continuous improvement through week 100, although with distinct trajectories. Median times to achieve physician-assessed MDA criteria were significantly faster compared with patient-driven criteria. Identification of modifiable factors affecting the time to achieve patient-reported criteria has the potential to optimize the achievement and sustainability of MDA in the clinic via a multidisciplinary approach to managing PsA, involving both medical and lifestyle interventions. TRIAL REGISTRATION NUMBER: NCT03158285. TRIAL REGISTRATION DATE: May 16, 2017.

Incidence and risk factors of major cardiovascular events in rheumatoid arthritis and psoriatic arthritis: A population-based cohort study.

OBJECTIVE: To evaluate the incidence and risk factors of major adverse cardiovascular events (MACE) in rheumatoid arthritis (RA) and psoriatic arthritis (PsA) patients. METHODS: A population-based retrospective cohort of RA and PsA patients was identified in a citywide database. All patients recruited from Jan 2006 to Dec 2015 were followed until the end of 2018. The outcome was the occurrence of a first MACE. Covariates of interest included traditional cardiovascular (CV) risk factors, inflammatory markers and pharmacotherapies. The independent predictors of MACE were identified by the time-dependent cox proportional hazard models. RESULTS: A total of 13,905 patients (12,233 RA and 1,672 PsA) were recruited. After a total of 119,571 patient-years of follow-up, 934 (6.7%) patients developed a first MACE. RA and PsA patients had similar adjusted incidence (incidence rate ratio 0.96, 95 % CI 0.75-1.22, p = 0.767). After adjusting for traditional CV risk factors, the time-varying erythrocyte sedimentation (ESR) rate and C-reactive protein (CRP) levels, and the use of glucocorticoids were independently associated with higher risk of MACE in both the RA and PsA cohorts. In RA, the use of methotrexate and non-steroidal anti-inflammatory drugs (NSAIDs) were associated with fewer MACE. The use of biologic disease modifying anti-rheumatic drugs was not associated with MACE in both RA and PsA. CONCLUSION: The incidence of MACE was similar in RA and PsA. Systemic inflammation and glucocorticoid use independently increased the risk of MACE in inflammatory arthritis, while methotrexate and NSAIDs use were protective against the development of MACE in RA.

Moderate and high disease activity levels increase the risk of subclinical atherosclerosis progression in early rheumatoid arthritis: a 5-year prospective study.

OBJECTIVES: To elucidate the association between different disease activity levels over time on long-term vascular outcomes in patients with early rheumatoid arthritis (ERA). METHODS: This was a 5-year prospective study. Patients with consecutive ERA without overt cardiovascular disease (CVD) were recruited to receive 1 year of tight-control treatment followed by standard-of-care management. High-resolution carotid ultrasound was assessed at baseline and year 5. The primary outcome was subclinical atherosclerosis progression (AP+), defined as the occurrence of incident plaque, increased region harbouring plaques and/or maximum carotid intima-media thickness progression ≥0.9 mm at year 5. Inflammatory burden during the follow-up period was represented by the cumulative average Disease Activity Score 28-erythrocyte sedimentation rate (ca-DAS28-ESR). Persistent low disease activity (LDA) or remission state was defined as ca-DAS28-ESR≤3.2. RESULTS: One-hundred and four patients with ERA (age: 52±11 years, 81 (77.9%) female) were included in this analysis. Fifty-two (50%) patients achieved persistent LDA or remission and 42 patients (40.4%) had AP+. Patients in the AP+ group were older and had more traditional cardiovascular risk factors at baseline. Multivariate logistic regression analysis revealed that patients with persistent moderate or high disease activity (ca-DAS28-ESR>3.2) had a significantly increased risk of AP+ (OR 5.05, 95% CI 1.53, 16.64, p=0.008) compared with those who achieved persistent remission. The risk of AP+ was similar in patients who achieved persistent LDA and remission. CONCLUSIONS: Achieving persistent LDA or remission may prevent progression of atherosclerosis in ERA. A treat-to-target approach aiming at sustained LDA or remission may reduce the risk of CVD by preventing AP+.

Erosion Identification in Metacarpophalangeal Joints in Rheumatoid Arthritis using High-Resolution Peripheral Quantitative Computed Tomography.

Bone erosions are a pathological feature of several forms of inflammatory arthritis including rheumatoid arthritis (RA). The increased presence and size of erosions are associated with poor outcomes, joint function, and disease progression. High-resolution peripheral quantitative computed tomography (HR-pQCT) provides unparalleled in vivo visualization of bone erosions. However, at this resolution, discontinuities in the cortical shell (cortical breaks) that are associated with normal physiological processes and pathology are also visible. The Study grouP for xtrEme Computed Tomography in Rheumatoid Arthritis previously used a consensus process to develop a definition of pathological erosion in HR-pQCT: a cortical break detected in at least two consecutive slices, in at least two perpendicular planes, non-linear in shape, with underlying trabecular bone loss. However, despite the availability of a consensus definition, erosion identification is a demanding task with challenges in inter-rater variability. The purpose of this work is to introduce a training tool to provide users with guidance on identifying pathological cortical breaks on HR-pQCT images for erosion analysis. The protocol presented here uses a custom-built module (Bone Analysis Module (BAM) - Training), implemented as an extension to an open-source image processing software (3D Slicer). Using this module, users can practice identifying erosions and compare their results to erosions annotated by expert rheumatologists.

Role of inflammatory burden and treatment on joint space width in psoriatic arthritis-a high-resolution peripheral quantitative computed tomography study.

BACKGROUND: To investigate the relationship between disease-related parameters and joint space width (JSW) on high-resolution peripheral quantitative computed tomography (HR-pQCT) in psoriatic arthritis (PsA) patients. METHODS: PsA patients who underwent HR-pQCT examination of the second to fourth metacarpophalangeal joint (MCPJ 2-4) were recruited in this cross-sectional study. The joint space metrics included joint space volume (JSV), mean, minimum, and maximum JSW, JSW asymmetry, and distribution. Correlation analysis and multivariable linear regression models were used to determine the association between disease-related variables and JSW. RESULTS: Sixty-seven patients [37 (55.2%) males; median (IQR) age: 57.0 (53.0, 63.0); median disease duration: 21 (16, 28) years] were included in this analysis. Multivariable linear regression analysis demonstrated that males had larger JSV (MCPJ 2-4), mean (MCPJ 4), and maximum JSW (MCPJ 3). Longer disease duration (MCPJ 2-3) and higher ESR values (MCPJ 3) were negatively associated with mean and maximum JSW, while higher damage joint count was negatively associated with mean and minimum JSW (MCPJ 2). Use of conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) was negatively associated with minimum JSW (MCPJ 3) while use of biologic DMARDs (bDMARDs) was positively associated with minimum JSW (MCPJ 2). CONCLUSION: Higher inflammatory burden as reflected by longer disease duration, higher ESR levels, and damage joint count was negatively associated with mean, maximum, and minimum JSW, while suppression of inflammation using bDMARDs seems to limit the decline in JSW.

Time and dose-dependent effect of systemic glucocorticoids on major adverse cardiovascular event in patients with rheumatoid arthritis: a population-based study.

OBJECTIVES: Cardiovascular event (CVE) risk in rheumatoid arthritis (RA) was increased by glucocorticoids (GC) use. Whether there is a threshold dose and duration of GC use beyond which will increase CVE rate remains controversial. We studied the time-varying effect of GC and its dose on the risk of incident major adverse cardiovascular events (MACE) in patients with RA. METHODS: Patients with RA without MACE at baseline were recruited from a Hong Kong citywide database from 2006 to 2015 and followed till 2018. The primary outcome was the first occurrence of an MACE. Cox regression and inverse probability treatment weighting analyses with time-varying covariates were used to evaluate the association of GC and MACE, adjusting for demographics, traditional CV risk factors, inflammatory markers and the usage of antirheumatic drugs. RESULTS: Among 12 233 RA patients with 105 826 patient-years of follow-up and a mean follow-up duration of 8.7 years, 860 (7.0%) developed MACE. In the time-varying analyses after controlling for confounding factors, a daily prednisolone dose of ≥5 mg significantly increased the risk of MACE (erythrocyte sedimentation rate model: HR 2.02, 95% CI 1.72 to 2.37; C reactive protein model: HR 1.87, 95% CI 1.60 to 2.18), while a daily dose below 5 mg was not associated with MACE risk, compared with no GC use. In patients receiving daily prednisolone ≥5 mg, the risk of incident MACE was increased by 7% per month. CONCLUSIONS: GC was associated with a duration and dose-dependent increased risk of MACE in patients with RA. Very low dose prednisolone (<5 mg daily) did not appear to confer excessive CV risk.

Urinary Long Non-Coding RNA Levels as Biomarkers of Lupus Nephritis.

BACKGROUND: Emerging evidence suggests that long non-coding RNA (lncRNA) plays important roles in the regulation of gene expression. We determine the role of using urinary lncRNA as a non-invasive biomarker for lupus nephritis. METHOD: We studied three cohorts of lupus nephritis patients (31, 78, and 12 patients, respectively) and controls (6, 7, and 24 subjects, respectively). The urinary sediment levels of specific lncRNA targets were studied using real-time quantitative polymerase chain reactions. RESULTS: The severity of proteinuria inversely correlated with urinary maternally expressed gene 3 (MEG3) (r = -0.423, p = 0.018) and ANRIL levels (r = -0.483, p = 0.008). Urinary MEG3 level also inversely correlated with the SLEDAI score (r = -0.383, p = 0.034). Urinary cancer susceptibility candidate 2 (CASC2) levels were significantly different between histological classes of nephritis (p = 0.026) and patients with pure class V nephritis probably had the highest levels, while urinary metastasis-associated lung carcinoma transcript 1 (MALAT1) level significantly correlated with the histological activity index (r = -0.321, p = 0.004). Urinary taurine-upregulated gene 1 (TUG1) level was significantly lower in pure class V lupus nephritis than primary membranous nephropathy (p = 0.003) and minimal change nephropathy (p = 0.04), and urinary TUG1 level correlated with eGFR in class V lupus nephritis (r = 0.706, p = 0.01). CONCLUSIONS: We identified certain urinary lncRNA targets that may help the identification of lupus nephritis and predict the histological class of nephritis. Our findings indicate that urinary lncRNA levels may be developed as biomarkers for lupus nephritis.

Telemedicine for follow-up of systemic lupus erythematosus during the 2019 coronavirus pandemic: A pragmatic randomized controlled trial.

INTRODUCTION: Patients with systemic lupus erythematous were vulnerable to severe coronavirus disease 2019 infection and the negative impact of disrupted healthcare delivery. Telemedicine has been a popular alternative to standard in-person care during the pandemic despite the lack of evidence. METHODS: This was a 1-year pragmatic randomized-controlled trial. Patients followed at the lupus nephritis clinic were randomized to either telemedicine or standard follow-up in a 1:1 ratio. Patients in the telemedicine group were followed up via videoconferencing. Standard follow-up group patients continued conventional in-person outpatient care. The primary outcome of the study was the proportion of patients in low disease activity after 1 year. Secondary outcomes included cost-of-illness, safety, and various patient-reported outcomes. RESULTS: From 6/2020 to 12/2021, 144 patients were randomized and 141 patients (telemedicine: 70, standard follow-up: 71) completed the study. At 1 year, 80.0% and 80.2% of the patients in the telemedicine group and standard follow-up group were in lupus low disease activity state or complete remission, respectively (p = 0.967). Systemic lupus erythematous disease activity indices, number of flares and frequency of follow-ups were also similar. There were no differences in the cost-of-illness, quality of life or mental health scores. However, significantly more patients in the telemedicine group (41.4% vs 5.6%; p < 0.001) required switch of mode of follow-up and higher proportion of them had hospitalization during the study period (32.9% vs 15.5%; p = 0.016). Being in the telemedicine group or not in low disease activity at baseline were the independent predictors of hospitalization (odds ratio: 2.6; 95% confidence interval: 1.1-6.1, odds ratio: 2.7, 95% confidence interval: 1.1-6.7, respectively) in the post hoc analysis. CONCLUSIONS: In patients with systemic lupus erythematous, telemedicine predominant follow-up resulted in similar 1-year disease control compared to standard care. However, it needed to be complemented by in-person visits, especially in patients with unstable disease.

Inflammation is associated with incident hypertension in patients with axial spondyloarthritis: A longitudinal cohort study.

OBJECTIVES: To elucidate the risk factors for the development of incident hypertension (IHT) in patients with axial spondyloarthritis (axSpA). METHODS: We conducted a retrospective cohort study in axSpA patients who were recruited from 2001 to 2019 from a university clinic in Hong Kong. Patients with HT and/or anti-hypertensive drug use at baseline were excluded. They were followed until the end of 2020. The outcome was IHT, defined by a diagnosis and a prescription for an antihypertensive drug. Baseline and time-varying Cox regression analyses adjusting for age, sex, and body mass index (BMI), were used to assess the relationship between drug use, inflammatory burden, and IHT. RESULTS: Four hundred and thirteen patients [age: 34(25-43) years, male: 319 (77.2%)] were recruited. After a median follow-up of 12 (6-17) years, 58 patients (14%) developed IHT (IHT+group). Among all the baseline variables, disease duration and delay in diagnosis were the independent predictors for IHT based on the Cox regression model. In the multivariate Cox regression analysis, baseline disease duration, delay in diagnosis and time-varying ESR levels were independent predictors associated with an increased risk of IHT. IHT risk was significantly increased in patients with disease duration >5 years. The use of anti-inflammatory drugs was not associated with the development of IHT. CONCLUSION: Higher inflammatory burden as reflected by a longer disease duration, delay diagnosis and higher ESR levels, were predictors associated with IHT after adjusting for traditional CV risk factors. These data support routine screening for hypertension in axSpA patients, especially those with longer disease duration.

What is already known about this subject?• Patients with axial spondyloarthritis (axSpA) have a higher risk of cardiovascular (CV) disease compared with the general population. Hypertension (HT) is one of the most important modifiable risk factors. Whether increased inflammatory pathways or the use of anti-inflammatory therapies contribute toward the increased prevalence of HT in axSpA remained controversial.What does this study add?• First, higher inflammatory burden as reflected by a longer baseline disease duration, delay in diagnosis and higher ESR levels were predictors of incident HT (IHT) after adjusting for traditional CV risk factors in axSpA. Second, IHTrisk was significantly increased in pati\ents with disease duration >5 years.How might this impact on clinical practice or future developments?• Early diagnosis and adequate control of systematic inflammation may be important to prevent the development of HT. Routine screening for hypertension in axSpA patients should be considered, especially in patients with longer disease duration.

Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images.

Rheumatoid arthritis (RA) is a chronic inflammatory disease. It leads to bone erosion in joints and other complications, which severely affect patients' quality of life. To accurately diagnose and monitor the progression of RA, quantitative imaging and analysis tools are desirable. High-resolution peripheral quantitative computed tomography (HR-pQCT) is such a promising tool for monitoring disease progression in RA. However, automatic erosion detection tools using HR-pQCT images are not yet available. Inspired by the consensus among radiologists on the erosions in HR-pQCT images, in this paper we define erosion as the significant concave regions on the cortical layer, and develop a model-based 3D automatic erosion detection method. It mainly consists of two steps: constructing closed cortical surface, and detecting erosion regions on the surface. In the first step, we propose an initialization-robust region competition methods for joint segmentation, and then fill the surface gaps by using joint bone separation and curvature-based surface alignment. In the second step, we analyze the curvature information of each voxel, and then aggregate the candidate voxels into concave surface regions and use the shape information of the regions to detect the erosions. We perform qualitative assessments of the new method using 59 well-annotated joint volumes. Our method has shown satisfactory and consistent performance compared with the annotations provided by medical experts.

A novel visceral adiposity index predicts bone loss in female early rheumatoid arthritis patients detected by HR-pQCT.

The purpose of this prospective study is to compare the Chinese visceral adiposity index (CVAI) between early rheumatoid arthritis (ERA) patients and healthy controls; and to assess the relationship between CVAI and the bone microstructure using high-resolution peripheral quantitative computed tomography (HR-pQCT) in ERA patients. 104 female ERA and 100 age-, gender- and BMI-matched healthy controls were recruited for the comparison of CVAI. All ERA patients were prospectively followed for 1 year. HR-pQCT scan of the distal radius, tibia and second metacarpal head were performed at baseline and after one-year. ERA patients were divided into two sub-groups according to the median CVAI value (65.73) (low CVAI and high CVAI groups). CVAI in the ERA group was significantly higher than the controls group (p = 0.01). At baseline, the high CVAI group had a higher ESR level (p = 0.004) while the cortical volumetric bone mineral density (vBMD) was lower (at both the distal radius and tibia, all p < 0.05) compared to the low CVAI group. Linear regression analysis revealed that a higher baseline CVAI was an independent predictor of a lower cortical vBMD at month 12 (distal radius: B = - 0.626, p = 0.022, 95%CI - 1.914 to - 0.153; tibia: B = - 0.394, p = 0.003, 95%CI - 1.366 to - 0.290); and a greater reduction in trabecular vBMD (tibia: B = 0.444, p = 0.001, 95%CI 0.018-0.063; distal radius: B = 0.356, p = 0.008, 95%CI 0.403-0.063). In summary, CVAI is an independent predictor of trabecular bone loss in female patients with ERA, which may be augmented by a chronic inflammatory state in patients with visceral dysfunction of fat metabolism.Trial registration: http://Clinicaltrial.gov no: NCT01768923, 16/01/2013.