A deep neural network for MRI spinal inflammation in axial spondyloarthritis.

OBJECTIVE: To develop a deep neural network for the detection of inflammatory spine in short tau inversion recovery (STIR) sequence of magnetic resonance imaging (MRI) on patients with axial spondyloarthritis (axSpA). METHODS: A total 330 patients with axSpA were recruited. STIR MRI of the whole spine and clinical data were obtained. Regions of interests (ROIs) were drawn outlining the active inflammatory lesion consisting of bone marrow edema (BME). Spinal inflammation was defined by the presence of an active inflammatory lesion on the STIR sequence. The 'fake-color' images were constructed. Images from 270 and 60 patients were randomly separated into the training/validation and testing sets, respectively. Deep neural network was developed using attention UNet. The neural network performance was compared to the image interpretation by a radiologist blinded to the ground truth. RESULTS: Active inflammatory lesions were identified in 2891 MR images and were absent in 14,590 MR images. The sensitivity and specificity of the derived deep neural network were 0.80 ± 0.03 and 0.88 ± 0.02, respectively. The Dice coefficient of the true positive lesions was 0.55 ± 0.02. The area under the curve of the receiver operating characteristic (AUC-ROC) curve of the deep neural network was 0.87 ± 0.02. The performance of the developed deep neural network was comparable to the interpretation of a radiologist with similar sensitivity and specificity. CONCLUSION: The developed deep neural network showed similar sensitivity and specificity to a radiologist with four years of experience. The results indicated that the network can provide a reliable and straightforward way of interpreting spinal MRI. The use of this deep neural network has the potential to expand the use of spinal MRI in managing axSpA.

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.

Deep Learning Algorithm of the SPARCC Scoring System in SI Joint MRI.

BACKGROUND: The Spondyloarthritis Research Consortium of Canada (SPARCC) scoring system is a sacroiliitis grading system. PURPOSE: To develop a deep learning-based pipeline for grading sacroiliitis using the SPARCC scoring system. STUDY TYPE: Prospective. POPULATION: The study included 389 participants (42.2-year-old, 44.6% female, 317/35/37 for training/validation/testing). A pretrained algorithm was used to differentiate image with/without sacroiliitis. FIELD STRENGTH/SEQUENCE: 3-T, short tau inversion recovery (STIR) sequence, fast spine echo. ASSESSMENT: The regions of interest as ground truth for models' training were identified by a rheumatologist (HYC, 10-year-experience) and a radiologist (KHL, 6-year-experience) using the Assessment of Spondyloarthritis International Society definition of MRI sacroiliitis independently. Another radiologist (YYL, 4.5-year-experience) solved the discrepancies. The bone marrow edema (BME) and sacroiliac region models were for segmentation. Frangi-filter detected vessels used as intense reference. Deep learning pipeline scored using SPARCC scoring system evaluating presence and features of BMEs. A rheumatologist (SCWC, 6-year-experience) and a radiologist (VWHL, 14-year-experience) scored using the SPARCC scoring system once. The radiologist (YYL) scored twice with 5-day interval. STATISTICAL TESTS: Independent samples t-tests and Chi-squared tests were used. Interobserver and intraobserver reliability by intraclass correlation coefficient (ICC) and Pearson coefficient evaluated consistency between readers and the deep learning pipeline. We evaluated the performance using sensitivity, accuracy, positive predictive value, and Dice coefficient. A P-value <0.05 was considered statistically significant. RESULTS: The ICC and the Pearson coefficient between the SPARCC scores from three readers and the deep learning pipeline were 0.83 and 0.86, respectively. The sensitivity in identifying BME and accuracy of identifying SI joints and blood vessels was 0.83, 0.90, and 0.88, respectively. The dice coefficients were 0.82 (sacrum) and 0.80 (ilium). DATA CONCLUSION: The high consistency with human readers indicated that deep learning pipeline may provide a SPARCC-informed deep learning approach for scoring of STIR images in spondyloarthritis. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 2.

Potential gastrointestinal Behcet's disease flare after treatment with anti-interleukin 17a therapy.

BACKGROUND: Behcet's disease (BD) is a systemic disease characterized by recurrent oral and genital ulcers. The underlying disease pathway likely involves interleukin (IL)-17 A, a proinflammatory cytokine that is implicated in Behcet's uveitis. Secukinumab is an anti-IL-17 A drug that may have an emerging role in the treatment of refractory BD. This is the first known case report of gastrointestinal BD flare up after anti-IL-17 A therapy. CASE PRESENTATION: We presented a case of BD with cutaneous and articular features being treated with secukinumab. After the third dose of loading secukinumab, the patient developed acute lower abdominal pain required hospital admission. Urgent computer tomography (CT) abdomen showed fatty stranding of caecum. Colonoscopy with caecal showed increased number of inflammatory cells in lamina propria. Secukinumab was stopped and patient was started on medium dose steroid. His abdominal symptoms resolved after treatment. CONCLUSIONS: This case report illustrates a case of gastrointestinal (GI) BD presenting as acute inflammatory colitis after the use of secukinumab. Therefore, anti-IL-17 A agents should be used cautiously in patients with GI BD, and preferably guided by a phenotype-tailored approach.

Rheumatology and palliative care: needs and opportunities.

Palliative care (PC) has expanded to medical conditions beyond its conventional scope of terminal malignancy and end-stage organ failure. This editorial showed our opinion in care model for the integration of PC into rheumatology and the growing needs of both rheumatology and PC services in view of increasing comorbidities and novel therapies. We anticipate an escalating demand for PC in this special group of patients who have concomitant long-standing systemic rheumatic diseases and age-related comorbidities. In addition, patients with advanced malignancy who develop rheumatological problems and require PC is also an emerging area of service need.

A case report of rheumatoid neutrophilic dermatitis in a Chinese woman with seropositive rheumatoid arthritis.

Rheumatoid arthritis (RA) is a chronic inflammatory arthritis associated with a number of extra-articular manifestations. We report the case of a rare extra-articular manifestation of seropositive RA in a 48-year-old woman. She developed spontaneously remitting pustular rashes on the dorsum of both hands which recurred during periods of a high disease activity. Skin biopsy revealed rheumatoid neutrophilic dermatosis (RND), a rare skin manifestation of RA. Both RA and RND were controlled with rituximab therapy. Clinical presentations and differential diagnoses were discussed. Tight control of RA is pivotal in the management of RA and extra-articular manifestations.

Propensity-matched Comparison Between Chronic Nonspecific Low Back Pain and Axial Spondyloarthritis: Impact on patient-perceived Quality of Life.

STUDY DESIGN: Prospective study. OBJECTIVE: To compare the burden between chronic nonspecific low back pain (LBP) and axial spondyloarthropathy (SpA). SUMMARY OF BACKGROUND DATA: Chronic nonspecific LBP and SpA are two debilitating yet different chronic musculoskeletal disorders. To compare their burden, propensity score matching is used to control for potential confounders and match the study subjects. MATERIALS AND METHODS: Two prospectively collected cohorts of LBP (n=269) and SpA (n=218) patients were studied. Outcomes included current LBP, 36-item Short Form Questionnaire, Oswestry Disability Index, EuroQol 5-dimension 5-level Questionnaire, and EuroQol Visual Analog Scale. With the inherent differences between the two types of patients, propensity score matching was performed for comparing the two groups. Baseline covariates of age, sex, education level, occupation, smoking, and drinking history were selected for the estimation of propensity scores for each subject with the logistic regression model. Significant independent variables for the outcome of current back pain were included in the multivariate logistic regressions. RESULTS: A total of 127 matched pairs were identified, with 254 patients. In the matched cohort, more patients with chronic LBP had current back pain (95.3%) as compared with SpA (71.7%). Patients with SpA were younger ( P <0.001), with more males ( P <0.001), and better educated ( P =0.001). There was less current back pain and higher nonsteroidal anti-inflammatory drug use ( P <0.001). Most SpA patients had lower Oswestry Disability Index than LBP patients and with low disease activity. Patients with LBP had worse outcome scores as compared with SpA patients given the same Visual Analog Scale. LBP patients had 8.6 times the odds (95% CI: 3.341-20.671; P <0.001) of experiencing current back pain compared with SpA patients. CONCLUSIONS: The disease activity of SpA patients is well controlled. However, patients with chronic LBP have worse pain severity, disability, and health-related quality of life. This has implications on resource utilization and the necessity of advancing LBP understanding and management. LEVEL OF EVIDENCE: Type I prognostic study.

MRI lesions in SpA: a comparison with noninflammatory back pain using propensity score adjustment method.

Background: Magnetic resonance imaging (MRI) is important in the management of axial spondyloarthritis (SpA). However, many MRI lesions are not exclusive to axial SpA. Further characterization of these lesions may lead to better clinical decisions. Objective: The objective of this study was to compare the frequency of individual spinal MRI lesions between axial SpA and noninflammatory back pain. The factors associated with individual lesions in participants with axial SpA were also determined. Design: This was a cross-sectional observational study. Methods: MRI lesions in 447 participants with axial SpA and 122 participants with noninflammatory back pain were compared using the propensity score adjustment method. Individual lesions included discovertebral lesions (DVL), Modic type 1 lesions, DVL without Modic type 1 lesions, facet joint lesions, costovertebral joint lesions, corner inflammatory lesions (CIL), and fatty corner lesions (FCL). The factors associated with the lesions were determined using regression analyses. Results: Among participants with axial SpA, 81.9% were HLA-B27-positive, 55.0% had radiographic axial SpA, and 60.5% had radiographic features of spinal damage (mSASSS >2). Almost half (48.6% in axial SpA versus 31.1% in noninflammatory back pain) had inflammatory lesions on spinal MRI. In propensity score matching with noninflammatory back pain, axial SpA had an increased occurrence of DVL without Modic type 1 lesion (OR = 3.43, p = 0.01), costovertebral lesion (OR = 11.89, p = 0.02), number of CIL (B = 1.19, p < 0.001), and number of FCL (B = 3.33, p < 0.001). Similar associations were found in the regression models in the radiographic axial SpA subgroup: DVL without Modic type 1 lesion (OR = 2.46, p = 0.001), costovertebral lesion (OR = 3.86, p < 0.001), number of CIL (B = 1.13, p < 0.001), and FCL (B = 2.29, p < 0.01). Conclusion: MRI lesions including DVL without Modic type 1, costovertebral joint lesions, CIL, and FCL were more specific in axial SpA.

Clinical, radiological, and magnetic resonance imaging characteristics of axial spondyloarthritis with late onset.

We aimed to investigate the clinical, diagnostic, and imaging features of patients with late onset axial spondyloarthritis (SpA) with initial symptom manifestation aged over 45 years. Participants with axial SpA were consecutively recruited. Clinical, demographic, blood, and imaging parameters were compared between the groups with early (≤45 years) and late onset (>45 years) at a cross-sectional level. Logistic regressions were used to determine the independent associations with axial SpA with late onset. A total of 455 participants were recruited. Among them, 70 (15.4%) had late onset disease. Multivariate analyses showed that axial SpA with late onset was associated with higher C-reactive protein based ankylosing spondylitis disease activity index (ASDAS-CRP) (B = 0.10; P = .04), higher intensity of spinal inflammation as measured by maximum apparent diffusion coefficient (spinal ADC max) (B = 0.27; P = .03) and mean ADC (spinal ADC mean) (B = 0.30; P = .004), lower modified Stoke Ankylosing Spondylitis Spinal Score (mSASSS) (B = -0.12; P = .02), more tender joint count (B = 0.12; P = .02), and fewer inflammatory back pain (IBP) (OR = 0.26; P < .001). Axial SpA with late onset had higher clinical disease activity, higher intensity of spinal MRI inflammation, less radiographic damage, and more tender joint count. There was also less inflammatory back pain, which could make the diagnosis more difficult.

Risk of nonpulmonary infections requiring hospitalization in spondyloarthritis.

OBJECTIVES: To compare the risk of five nonpulmonary infections leading to hospitalization between spondyloarthritis (SpA) and nonspecific back pain (NSBP), and to identify the risk factors. METHODS: A total of 3018 patients with SpA and 2527 patients with NSBP were identified. Data from December 1995 to June 2019 was retrieved from a centralized electronic medical record system. The date of onset of five types of nonpulmonary infections including: urinary tract infection (UTI), skin infection, gastroenteritis (GE), septic arthritis, and pancreato-hepatobiliary tract infection were identified. Demographic data, comorbidities, and medications used were also retrieved. Comparative risk of each type of infection between SpA and NSBP was determined using propensity score adjustment method. Cox regression model was used to identified risk factors. RESULTS: Patients with SpA were younger in age, predominantly male, with fewer comorbid diabetes mellitus (DM), renal impairment, and depression. Compared with NSBP, patients with SpA had higher risk of UTI (hazard ratio [HR] 1.91; p < .001), skin infection (HR 1.79; p < .001), and septic arthritis (HR 4.57; p = .04). Risk of GE (HR 1.42; p = 1.00), and pancreato-hepatobiliary tract infection (HR 1.67; p = .06) were not increased. Infliximab was an independent risk factor for UTI (HR 2.21; p = .04). Duration of steroid therapy >6 months (HR 2.22; p < .001), smoker (HR 1.81; p < .001), and psoriasis (HR 2.47; p < .001) were risk factors for skin infection. CONCLUSION: SpA was associated with increased risk of UTI, skin infection, and septic arthritis. Infliximab, prolonged steroid therapy, smoking, and psoriasis were associated risk factors.

Osteogenic Circulating Endothelial Progenitor Cells are Associated with Vascular Aging of the Large Arteries in Rheumatoid Arthritis.

Background and Aim: Rheumatoid arthritis is associated with both abnormal bone metabolism and accelerated vascular aging but a mechanistic link was lacking. This study aims to investigate the role of osteocalcin (OCN)-expressing circulating endothelial progenitor cells (EPCs) in vascular aging, as determined by arterial calcifications in rheumatoid arthritis. Methods: We performed flow cytometry studies in 145 consecutive patients with rheumatoid arthritis to determine osteogenic circulating levels of OCN-positive (OCN+) CD34+KDR+ and OCN+CD34+ versus conventional early EPC CD34+CD133+KDR+. Total calcium load of the thoracic aorta (ascending plus descending) and the carotid arteries were assessed by non-contrast computed tomography (CT) and contrast CT angiography. Results: Osteogenic EPCs OCN+CD34+KDR+ (P = 0.002) and OCN+CD34+ (P = 0.001), together with clinical parameters of age, history of hypertension, systolic blood pressure, serum levels of triglycerides, HbA1c and creatinine, use of leflunomide and brachial-ankle pulse-wave velocity (all P < 0.05), were associated with the clustered presence of aortic and carotid calcification. Multivariable analyses revealed that circulating OCN+CD34+KDR+ (B = 14.4 [95% CI 4.0 to 24.8], P = 0.007) and OCN+CD34+ (B = 9.6 [95% CI 4.9 to 14.3], P < 0.001) remained independently associated with increased aortic calcium load. OCN+CD34+ EPC (B = 0.8 [95% CI 0.1 to 1.5], P = 0.023), but not OCN+CD34+KDR+ EPC (B = 1.2 [95% CI -0.2 to 2.6], P = 0.09), was further independently associated with carotid calcium load. In comparison, conventional early EPC CD34+CD133+KDR+ had no significant association with aortic or carotid calcium load (P = 0.46 and 0.88, respectively). Conclusion: Circulating level of osteogenic EPC is associated with increased vascular aging in terms of calcification of the large arteries in patients with rheumatoid arthritis. The findings may suggest a role of the bone-vascular axis underlying vascular aging in rheumatic diseases. Further research is needed to characterize the mechanistic links and basis of these observations.

Depression in psoriatic arthritis: Related to socio-demographics, comorbid loads or disease activity?

AIM: Psychological distress commonly occurs in patients with psoriatic arthritis (PsA). The primary objective of this study was to determine the prevalence of depression in PsA. The secondary objective was to explore its associated factors, including socio-demographics, disease activity data and comorbidities. METHODS: Patients with PsA fulfilling the Classification Criteria for Psoriatic Arthritis were consecutively recruited from local rheumatology clinics. Depression was assessed by a self-administered Chinese-Cantonese version of the Hospital Anxiety and Depression Scale (HADS). RESULTS: Two hundred and eight eligible patients with PsA were recruited, with 82 females and 126 males. Depression was found in 62 (29.8%) of them. The univariate model identified these associated factors: (1) Psoriasis Area and Severity Index score; (2) disease activity measurement, that is tender and swollen joint count, erythrocyte sedimentation rate, C-reactive protein, Disease Activity in Psoriatic Arthritis (DAPSA) score, Leeds Enthesitis Index and tender dactylitis count; (3) quality of life measurement, that is Health Assessment Questionnaire - Disability Index (HAQ-DI), pain and general health perception; (4) PsA duration; and (5) body mass index. The final regression model identified DAPSA and HAQ-DI were closely associated with depression, P = .007 and P = .02 respectively. Moderate and strong correlations with HADS score were found with DAPSA (Kendall's tau-b coefficient [τb] = 0.25) and HAQ-DI (τb = 0.4) respectively. No associations with depression were found between age, living and employment status, gender, demographics, inflammatory markers, disease duration, skin involvement and comorbidities, in term of Charlson's Comorbidity Index. CONCLUSION: Depression was prevalent among PsA patients and it was closely correlated with disease activity and physical function impairment. Achieving low disease activity and maintaining physical function in patients with PsA may mitigate the psychological burden. The present study also highlighted the unmet needs of strategies to identify this common phenomenon.

Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis.

OBJECTIVE: The aim of this study was to develop a deep learning algorithm for detection of active inflammatory sacroiliitis in short tau inversion recovery (STIR) sequence MRI. METHODS: A total of 326 participants with axial SpA, and 63 participants with non-specific back pain (NSBP) were recruited. STIR MRI of the SI joints was performed and clinical data were collected. Region of interests (ROIs) were drawn outlining bone marrow oedema, a reliable marker of active inflammation, which formed the ground truth masks from which 'fake-colour' images were derived. Both the original and fake-colour images were randomly allocated into either the training and validation dataset or the testing dataset. Attention U-net was used for the development of deep learning algorithms. As a comparison, an independent radiologist and rheumatologist, blinded to the ground truth masks, were tasked with identifying bone marrow oedema in the MRI scans. RESULTS: Inflammatory sacroiliitis was identified in 1398 MR images from 228 participants. No inflammation was found in 3944 MRI scans from 161 participants. The mean sensitivity of the algorithms derived from the original dataset and fake-colour image dataset were 0.86 (0.02) and 0.90 (0.01), respectively. The mean specificity of the algorithms derived from the original and the fake-colour image datasets were 0.92 (0.02) and 0.93 (0.01), respectively. The mean testing dice coefficients were 0.48 (0.27) for the original dataset and 0.51 (0.25) for the fake-colour image dataset. The area under the curve of the receiver operating characteristic (AUC-ROC) curve of the algorithms using the original dataset and the fake-colour image dataset were 0.92 and 0.96, respectively. The sensitivity and specificity of the algorithms were comparable with the interpretation by a radiologist, but outperformed that of the rheumatologist. CONCLUSION: An MRI deep learning algorithm was developed for detection of inflammatory sacroiliitis in axial SpA.

Both ASDAS and ADC are associated with spinal mobility in active axial spondyloarthritis: A comparison between early and later disease.

OBJECTIVE: Using diffusion-weighted imaging (DWI)-derived apparent diffusion coefficient (ADC), we aimed to determine the relationship between intensity of spinal inflammation and mobility in patients with axial spondyloarthritis (SpA) in early and later stages of active disease. The Ankylosing Spondylitis Disease Activity Score (ASDAS) was also used for a more comprehensive evaluation. METHODS: Participants with axial SpA and back pain were recruited from 10 rheumatology centers. Clinical, biochemical and radiological parameters were collected. Short tau inversion recovery (STIR) sequence magnetic resonance imaging (MRI) and DWI of the spine and sacroiliac (SI) joints were performed. ADC maps were generated. Participants were examined for Bath Ankylosing Spondylitis Metrology Index (BASMI). Linear regression models were used to determine associations between BASMI and various clinical, radiological, and MRI parameters in participants with active inflammation on spinal ADC maps. RESULTS: One-hundred and twenty-seven participants were included in the analyses. Multivariate linear regression showed that mean ADC spine (ß = .16; P = .03), ASDAS-C-reactive protein (CRP) (ß = .29, P < .001), and ASDAS-erythrocyte sedimentation rate (ESR) (ß = .25, P < .01) were associated with BASMI. In participants with duration of back pain ≤3 years, mean spine ADC (ß = .37; P = .03), ASDAS-CRP (ß = .44; P = .01), and ASDAS-ESR (ß = .42; P = .01) were associated with BASMI after adjustment for confounding factors. In participants with duration of back pain >3 years, only ASDAS-CRP (ß = .25; P < .01) and ASDAS-ESR (ß = .20; P = .20) were associated with BASMI. CONCLUSION: Intensity of inflammation and clinical disease activity were independently associated with impairment of spinal mobility. The associations were stronger in early (≤3 years) than later disease.

COVID-19 vaccination in patients with rheumatic diseases: Vaccination rates, patient perspectives, and side effects.

INTRODUCTION: To investigate the vaccination rate, reported side effects, and patient concerns for COVID-19 vaccination in patients with rheumatic diseases. METHODS: A multicentre cross-sectional study from rheumatology clinics in two major hospitals in Hong Kong was conducted between June 3, 2021 and October 8, 2021. Patient interviews for demographics, clinical characteristics, vaccination status, reported side effects, and factors influencing decisions about vaccination were supplemented with structured questionnaires. RESULTS: Out of 1367 patients, 413 (30.2%) had received COVID-19 vaccination. Side effects were reported in 335 (81.1%) of patients, of which the most common were injection site pain or swelling (66.3%), fatigue (57.1%), fever (19.9%), and headache (19.6%). Multivariate logistic regression models showed that males (odds ratio [OR] = 1.80; p < .001), higher education level (OR = 1.64; p < .001) and healthcare professionals (OR = 4.5; p < .001) were significantly more likely to have received the vaccine. In contrast, patients with hypertension (OR = 0.73; p = .04), systemic lupus erythematous (OR = 0.53; p < .001), stroke (OR = 0.29; p = .01), steroid therapy (OR = 0.59; p = .01), and leflunomide therapy (OR = 0.45; p = .05) were significantly less likely to be vaccinated. Younger age (age, OR = 0.96; p = .003) and messenger RNA (mRNA) vaccines (OR = 4.79; p < .001) were associated with more side effects. There was no difference in risk of side effects between specific rheumatic diseases or drug therapies. CONCLUSION: COVID-19 vaccination is associated with no increased risk of side effects in any particular disease or drug therapy, therefore vaccination should be encouraged in patients with rheumatic disease. In addition, younger age is associated minimally, while mRNA vaccine is associated with increased side effects.

Nurse-Led Consultation for Patients With Rheumatoid Arthritis at Low Disease Activity: A Randomized Noninferiority Trial.

OBJECTIVE: To determine the effectiveness of nurse-led consultations in patients with stable rheumatoid arthritis (RA) in Hong Kong. METHODS: The present work was a single-center, randomized, open-label, noninferiority trial. Patients who had rheumatoid arthritis (RA) with low disease activity (LDA) were randomized at a 1:1 ratio to attend a nurse-led consultation or rheumatologist follow-up visit for 2 years. The primary end point was the proportion of patients whose RA remained at LDA. Secondary end points included the proportion of patients with RA in disease remission and the scores recorded on the Leeds Satisfaction Questionnaire at 2 years, changes from baseline on the Disease Activity Score in 28 joints using the C-reactive protein level (DAS28-CRP), modified Sharp/van der Heijde score (SHS), Health Assessment Questionnaire disability index (HAQ DI), Short Form 36 (SF-36) physical component score, and 19-item Compliance Questionnaire for Rheumatology (CQR-19) score. RESULTS: Among 280 patients who were randomized equally to either attend nurse-led consultations or rheumatologist follow-up visits, 267 patients completed the study. In the nurse-led consultation and rheumatologist follow-up groups, 92.1% and 91.4% patients, respectively, remained at LDA at 2 years. The 95% confidence intervals (95% CIs) of the adjusted treatment difference were within the predefined noninferiority margin in both the intention-to-treat analysis (95% CI 5.75, 7.15) and the per-protocol analysis (95% CI 1.67, 7.47). Although the changes in DAS28-CRP score over 2 years were significantly different between the 2 treatment groups (P < 0.001), there were no significant changes from baseline in SHS, HAQ DI, SF-36 physical component scores, and CQR-19 scores. At the end of the study, more patients expressed satisfaction with nurse-led consultations. CONCLUSION: Nurse-led consultations were not inferior to rheumatologist follow-up visits in patients with stable RA.

Malignancies in spondyloarthritis with and without concomitant psoriasis, and the effect of disease modifying anti-rheumatic drugs.

OBJECTIVES: To determine the risk of 6 types of malignancies in spondyloarthritis (SpA) with and without psoriasis (PsO) and on disease-modifying anti-rheumatic drugs (DMARDs), compared to non-specific back pain (NSBP). METHODS: Medical records were retrieved. Patients with SpA with and without PsO were identified and compared to those with NSBP. Clinical data; follow-up duration; comorbidities; dates and types of cancer diagnosed; types and duration of DMARD therapy were collected. Propensity score adjustment was used to compare the risks of malignancies between SpA, SpA with and without PsO, and NSBP. Cox regression analysis was used to determine the risk of malignancy in DMARD therapy. RESULTS: A total of 3020 patients with SpA and 2527 patients with NSBP were studied. The mean follow-up duration in patients with SpA and NSBP was 9.6 years and 13.5 years respectively. Incidence and risk of malignancies were compatible between SpA and NSBP. The incidences of various carcinomas (per 1000 patient-years) in SpA were: 1.37 for colorectal carcinoma; 0.30 for carcinoma of pancreas; 0.30 for carcinoma of stomach; and 0.91 for lymphomas. Risk of colorectal carcinoma (HR 2.46; p=0.03) and lymphomas (HR 2.86; p=0.04) was increased in SpA with concomitant PsO. DMARD therapy was not associated with increased risks of malignancies after adjustment for confounding factors. CONCLUSIONS: Risk of malignancy was increased in SpA with PsO but not in other subtypes of SpA or DMARD therapy.

Conventional and Biologic Disease-Modifying Antirheumatic Drugs Are Not Associated With Increase in or Progression of Cervical Neoplasia Among Patients With Spondyloarthritis.

OBJECTIVES: Using a centralized electronic database, we investigated the risk of cervical neoplasia (CN) and progression of cervical intraepithelial neoplasia (CIN) among patients with spondyloarthritis (SpA) receiving disease-modifying antirheumatic drugs (DMARDs). METHOD: A total of 951 patients with SpA were reviewed. Incidence and progression of CN and clinical data including age, ethnicity, smoking and drinking status, dates of first and last follow-up, history of psoriasis, inflammatory bowel disease, medications used, mean dose and duration of medications, and comorbidities were reviewed. Cox regression models were used to evaluate the individual risk of DMARDs with CN and the risk of CIN progression. RESULTS: During a mean follow-up duration of 9.2 ± 5.9 years, 34 patients had developed CN, which translates to an incidence for development of CN in patients with SpA of 3.9 per 1000 patient-years. Univariate Cox regression analyses showed no differences in clinical characteristics (psoriasis hazards ratio [HR] = 0.92, p = 0.82; inflammatory bowel disease HR = 0.05, p = 0.61; diabetes mellitus HR = 2.82, p = 0.21; chronic kidney disease HR = 0.39, p = 0.35) and medications exposure (sulfasalazine HR = 0.49, p = 0.30; methotrexate HR = 0.52, p = 0.11; leflunomide HR = 0.52, p = 0.37; adalimumab HR = 0.83, p = 0.80; certolizumab HR = 0.05, p = 0.74; etanercept HR = 0.40, p = 0.36; golimumab HR = 0.05, p = 0.32; infliximab HR = 0.05, p = 0.39; secukinumab HR = 1.00, p = 1.00; ustekinumab HR = 0.05, p = 0.78) between patients who had and had not develop CN during the study period. Progression of CIN was independently associated with higher grades of CIN lesion (HR = 6.20; p = 0.05). CONCLUSIONS: There was low risk of development and progression of CN in patients with SpA on conventional or biologic DMARD therapy.

Epidemiology, mortality and effectiveness of prophylaxis for Pneumocystis jiroveci pneumonia among rheumatic patients: a territory-wide study.

BACKGROUND: Pneumocystis jiroveci pneumonia (PJP) is an opportunistic infection affecting immunocompromised individuals. However, evidence regarding the burden and effectiveness of prophylaxis among rheumatic patients remains limited. Delineating the epidemiology and efficacy of prophylaxis among rheumatic patients is urgently needed. METHODS: We performed a territory-wide cohort study of rheumatic patients in Hong Kong. All patients with a diagnosis of anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV), immune-mediated myositis (IMM), rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), systemic sclerosis (SSc), or spondyloarthritis (SpA) between 2015 and 2019 were included. Prevalence, frequency of prophylaxis and mortality of PJP were calculated. Number needed to treat (NNT) analysis was also performed. RESULTS: Out of 21,587 patients (54% RA, 25% SLE, 13% SpA, 5% IMM, 2% AAV and 1% SSc), 1141 (5.3%) patients were prescribed PJP prophylaxis. 48/21,587 (0.2%) developed PJP. No patients who developed PJP received prophylaxis prior to infection. The incidence of PJP was highest among SSc, AAV, and IMM patients. Among these diseases, the majority of PJP occurred while patients were on glucocorticoids at daily prednisolone-equivalent doses of 15 mg/day (P15) or above. PJP prophylaxis was effective with NNT for SSc, AAV and IIM being 36, 48 and 114 respectively. There were 19 PJP-related mortalities and the mortality rate was 39.6%. CONCLUSION: PJP is an uncommon but important infection among rheumatic patients, PJP prophylaxis is effective and should be considered in patients with SSc, AAV and IMM, especially those receiving glucocorticoid doses above P15.