RMD Open最新文献

Objectives: To follow up four previously identified classes 'pure axial spondyloarthritis' (axSpA) ('axial'), 'axSpA with peripheral signs' ('inflammatory back pain+peripheral'), 'axSpA at risk' and 'no spondyloarthritis' ('no SpA'). They reflect the expert-opinion-free construct or 'Gestalt' of chronic back pain suspicious of axSpA. The aim was to assess participants' transitions between these classes over time.

Methods: Participants with chronic back pain of ≤2 years duration, suspicious of axSpA from the SPondyloArthritis Caught Early cohort were analysed. Latent class (LCA) and latent transition analysis (LTA) using clinical, laboratory and imaging data at baseline and 2 years were calculated. Conditional and marginal probabilities were obtained, reflecting the probability of a spondyloarthritis feature in a class and the probability of the participant's class membership, respectively. Transitional probabilities were extracted revealing potential switches across classes. The analyses were performed in all participants using imputations for missing data and in participants with full data at baseline and 2 years.

Results: Baseline and 2 years LCA models were constructed for 702 participants, resulting in the same four-class model as previously described. LTA revealed only a 3% transition from the 'no SpA' to the 'at-risk' class from baseline to 2 years with all other participants remaining in their initially assigned class. Sensitivity analysis on 384 participants with complete data at both baseline and 2 years showed similar results, underlining the model's robustness.

Conclusions: Transitions between the four classes over 2 years were basically inexistent, highlighting the unlikelihood of developing new class-defining features of axSpA after an initial clinical workup.

In rheumatoid arthritis (RA), the identification of prognostic factors (PF) capable of predicting disease outcome, response to treatment or success of dose reduction is an important issue, as these factors are intended to serve as a basis for decision-making. The task is complex from the outset, as the definition of disease prognosis or therapeutic prognosis is not uniquevocal. The heterogeneity of the definitions used partly explains the failure to identify PF that can be applied at an individual level. But other factors also contribute. First, the scope of the disease studied is too broad, including nosologically different entities. Second, potential PF are only measured at a single point of time, whereas changes over a period of time should be taken into account to a greater extent, not forgetting the potential impact of the treatment received during this period. Beyond these limiting factors, one of the main obstacles to the identification of PF is probably the fact that the phase of the disease is not sufficiently taken into account. Predicting the disease outcome when it is well established is a more complex challenge than when it is just beginning, as many factors are likely to interfere. The same applies to therapeutic PF, which should be determined according to disease duration. Difficulties also arise from the approaches used, which are often restricted to a single field of interest whereas they should be much more integrative and call on new large-scale data analysis tools with a view to precision medicine.In RA, prognosis can be defined at two levels: disease outcome, including joint damage and risk of extra-articular manifestations and/or complications, and treatment outcome, including response to therapy, risk of adverse effects and drug-free remission.

Objective: To identify differentially expressed genes in temporal artery biopsies (TABs) from patients with giant cell arteritis (GCA) with different histological patterns of inflammation: transmural inflammation (TMI) and inflammation limited to adventitia (ILA), compared with normal TABs from patients without GCA.

Methods: Expression of 770 immune-related genes was profiled with the NanoString nCounter PanCancer Immune Profiling Panel on formalin-fixed paraffin-embedded TABs from 42 GCA patients with TMI, 7 GCA patients with ILA and 7 non-GCA controls.

Results: Unsupervised clustering of the samples revealed two distinct groups: normal TABs and TABs with ILA in one group, 41/42 TABs with TMI in the other one. TABs with TMI showed 31 downregulated and 256 upregulated genes compared with normal TABs; they displayed 26 downregulated and 187 upregulated genes compared with TABs with ILA (>2.0 fold changes and adjusted p values <0.05). Gene expression in TABs with ILA resembled normal TABs although 38 genes exhibited >2.0 fold changes, but these changes lost statistical significance after Benjamini-Yekutieli correction. Genes encoding TNF superfamily members, immune checkpoints, chemokine and chemokine receptors, toll-like receptors, complement molecules, Fc receptors for IgG antibodies, signalling lymphocytic activation molecules, JAK3, STAT1 and STAT4 resulted upregulated in TMI.

Conclusions: TABs with TMI had a distinct transcriptome compared with normal TABs and TABs with ILA. The few genes potentially deregulated in ILA were also deregulated in TMI. Gene profiling allowed to deepen the knowledge of GCA pathogenesis.

Objective: Fibromyalgia syndrome (FMS) is characterised by widespread pain and is associated with mood disorders such as depression as well as poor sleep quality. These in turn have been linked to increased risk of suicidal ideation. Clinical guidelines generally do not recommended opioids in FMS, but they are routinely prescribed to a considerable proportion of FMS patients. We assessed the association of long-term opioid prescription for FMS with risk of depression, sleep disorders and suicidal ideation, when compared with short-term opioid use.

Methods: Retrospective cohort study combing several population-wide databases covering a population of five million inhabitants, including all adults who received an initial opioid prescription from 2014 to 2018 specifically prescribed for FMS. We examined the occurrence of depression, sleep disorders or suicidal ideation outcomes in patients with an initial long-term opioid prescription (>90 days) versus those who received a short-term treatment (<29 days). We employed multivariable Cox regression modelling and inverse probability of treatment weighting based on propensity scores and we performed several sensitivity analyses.

Results: 10 334 patients initiated short-term (8309, 80.40%) or long-term (2025, 19.60%) opioids for FMS. In main adjusted analyses, long-term opioid use was associated with an increased risk for depression (HR: 1.58, 95% CI 1.29 to 1.95) and sleep disorder (HR: 1.30, 95% CI 1.09 to 1.55) but not with suicidal ideation (HR: 1.59, 95% CI 0.96 to 2.62). In models assessing outcomes since day 90, an increased risk for suicidal ideation was observed (HR: 1.76, 95% CI 1.05 to 2.98).

Conclusion: These findings suggest that continued opioid use for 90 days or more may aggravate depression and sleep problems in patients with FMS when compared with patterns of short-term treatment.

Objective: Patients with systemic lupus erythematosus (SLE) have an increased risk of cardiovascular and cerebrovascular events (CCEs). Furthermore, CCE was a significant factor contributing to mortality in patients with SLE. However, no clinical model exists that can predict which patients are at high risk. The purpose of this study was to develop a practical model for predicting the risk of CCE in people with SLE.

Methods: This study was based on the Chinese SLE Treatment and Research Group cohort. A total of 2399 patients, who had a follow-up period of over 3 years and were diagnosed with SLE for less than 1 year at the start of the study, were included. Cox proportional hazards regression and least absolute shrinkage and selection operator regression were used to establish the model. Internal validation was performed, and the predictive power of the model was evaluated.

Results: During the follow-up period, 93 patients had CCEs. The prediction model included nine variables: male gender, smoking, hypertension, age of SLE onset >40, cutaneous involvement, arthritis, anti-β2GP1 antibody positivity, high-dose glucocorticoids and hydroxychloroquine usage. The model's C index was 0.801. Patients with a prognostic index over 0.544 were classified into the high-risk group.

Conclusion: We have developed a predictive model that uses clinical indicators to assess the probability of CCE in patients diagnosed with SLE. This model has the ability to precisely predict the risk of CCE in patients with SLE. We recommended using this model in the routine assessment of patients with SLE.

Objectives: Cardiovascular disease is a leading cause of mortality in systemic lupus erythematosus (SLE). Frailty has been associated with an increased cardiovascular disease risk (CVR) in the general population. We aimed to examine the association between frailty and subclinical cardiovascular disease in patients with SLE.

Methods: In this cross-sectional study, we included all patients with SLE who underwent carotid/femoral artery ultrasound in our unit between 2016 and 2018. Clinical and laboratory data were collected at the time of ultrasound testing. Frailty was measured using the Systemic Lupus International Collaborating Clinics-Frailty Index (SLICC-FI). CVR (low, moderate, high, very high) was evaluated by the Systematic COronary Risk Evaluation (SCORE) model. Determinants of atherosclerotic plaque presence were assessed by logistic regression analyses, adjusting for potential confounders.

Results: 202 patients were included in the study. Atherosclerotic plaques (20.8% carotid, 17.3% femoral) were observed in 52/202 (25.7%) patients (89.1% women, mean (±SD) age 46.7±12.6). Median (IQR) SLICC-FI was 0.08 (0.04-0.10). 39 (19.3%) patients were classified as robust, 91 (45%) as relatively less fit, 59 (29.2%) as least fit and 13 (6.4%) as frail. In univariate analysis, plaque presence was significantly associated with age, disease duration, smoking, hypertension, systolic blood pressure, dyslipidaemia, SCORE, CVR class and SLICC-FI. CVR class (OR 5.16, p=0.000) and SLICC-FI (OR 1.34, p=0.03 per 0.05 point increase) remained significant in multivariate analysis after adjustment for traditional and disease-related CVR factors.

Conclusions: SLICC-FI is independently associated with plaque presence. Further studies are warranted to determine whether frailty-specific interventions can reduce CVR in patients with SLE.

Objectives: To assess impact of bimekizumab treatment on patient-reported outcomes and health-related quality of life (HRQoL) in patients with active psoriatic arthritis (PsA), using 16-week data from two phase 3 studies.

Methods: BE OPTIMAL (NCT03895203; biologic disease-modifying antirheumatic drug (bDMARD)-naïve) and BE COMPLETE (NCT03896581; tumour necrosis factor inhibitor inadequate response/intolerance (TNFi-IR)) are phase 3 studies of subcutaneous bimekizumab 160 mg Q4W; both were double-blind and placebo-controlled to 16 weeks. Patients were randomised 3:2:1 to bimekizumab, placebo or reference (subcutaneous adalimumab 40 mg Q2W) in BE OPTIMAL; 2:1 to bimekizumab or placebo in BE COMPLETE. Patient-reported outcomes for pain, fatigue, physical function and HRQoL are reported to week 16 using pooled and individual study data for bimekizumab and placebo patients.

Results: 1073/1112 (96.5%) patients completed week 16 (bimekizumab:‍ 677/698 [97.0%]; placebo: 396/414 [95.7%]). Bimekizumab-treated patients achieved rapid improvements vs placebo in pain, fatigue, physical function and HRQoL by week 4, after a single dose. Improvements continued to week 16 for all patient-reported outcomes, including Pain Visual Analogue Scale (VAS; mean (95% CI) change from baseline: bimekizumab: -‍25.2 [-27.2, -23.1]; placebo:‍ -‍5.7 [-8.2, -3.3]) and FACIT-Fatigue (bimekizumab: 4.5 [3.9, 5.1]; placebo: 1.1 [0.3, 2.0]); both nominal p<0.001. Greater proportions of bimekizumab-treated patients achieved minimal clinically important differences for patient-reported symptoms vs placebo, including FACIT-Fatigue (bimekizumab: 53.1%; placebo: 36.3%) and HAQ-DI (bimekizumab:‍ 53.0%; placebo: 28.7%); both nominal p<0.001.

Conclusion: Bimekizumab treatment demonstrated rapid and greater improvements in patient-reported pain, fatigue, physical function and HRQoL to week 16 vs placebo in bDMARD-naïve and TNFi-IR patients.

Trial registration number: ClinicalTrials.gov: NCT03895203; NCT03896581.

Objective: Systemic sclerosis (SSc) is associated with an increased risk of cancer. We aimed to assess the prevalence of cancer in our cohort and to explore possible associations with clinical, immunological and treatment characteristics.

Methods: Our retrospective monocentric cohort study of patients with SSc recorded prevalent and incident cases of malignancy, including those diagnosed within 3 years of the SSc onset (defined as cancer-associated scleroderma) and sought associations with the clinical characteristics and the serum autoantibody profiling performed using RNA and protein immunoprecipitation, Western-blot, immunoblot and ELISA at the time of SSc diagnosis, prior to any specific treatment.

Results: Among 290 patients with SSc, the overall prevalence of cancer was 20%, with 8% of cases being cancer-associated scleroderma. Both conditions were more frequent in elderly patients and in patients with positive anti-Ro52 or anti-U3-RNP. Cancer-associated scleroderma was significantly more prevalent among patients negative for both anti-centromere (ACA) and anti-topoisomerase-1 (TOPO1) antibodies, especially in the case of diffuse SSc. Immunosuppressants were not significantly associated with cancer. Patients triple negative for ACA, TOPO1 and anti-RNA polymerase III antibodies had a significantly higher risk of breast cancer.

Conclusions: Cancer surveillance should be particularly careful in patients with diffuse SSc, increased age at disease onset and without classical SSc-related autoantibodies.

Background: The psoriatic arthritis (PsA) Observational Study of Persistence of Treatment (PRO-SPIRIT) assesses effectiveness and persistence of real-world PsA treatments. Ixekizumab (IXE) is an interleukin (IL)-17A inhibitor (i) (IL-17Ai), approved for the treatment of adult PsA.

Methods: The aim of this predefined interim analysis was to report baseline characteristics along with early (3-month) descriptive and comparative real-world effectiveness in patients with PsA prescribed with advanced treatment including IL-17Ai; IXE or secukinumab (SEC), IL-12/23i, IL-23i, tumour necrosis factor (TNFi) or Janus kinase (JAKi).

Results: 1192 patients across 6 countries were analysed. At baseline, patients receiving IXE had longer disease duration and higher previous biological/targeted-synthetic disease-modifying antirheumatic drugs experience than patients starting TNFi and SEC 150, and less concomitant conventional-synthetic DMARD use than TNFi and JAKi. Comparative analyses at 3 months showed that: (a) versus TNFi, IXE exhibited similar improvement in clinical Disease Activity in PsA (cDAPSA) but significantly greater improvement in body surface area affected by psoriasis (BSA) and global assessments (physician GA, patient GA (PatGA)); (b) versus IL-12/23i and IL-23i (pooled), IXE showed significantly greater improvement in cDAPSA and PatGA; (c) IXE was as fast as JAKi in improving joint disease activity. Ad hoc analysis indicated that more patients with active psoriasis (BSA ≥3%) achieved minimal disease activity with IXE than JAKi or IL-12/23i. The responses to SEC varied by dosage.

Conclusions: This study confirms the rapid 3-month effectiveness of IXE on joint disease activity-as fast as TNFi and JAKi (cDAPSA), and exceeding IL-12/23i and IL-23i-along with clear benefits to skin.