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Objectives To validate the two recently developed disease activity indexes for assessment of primary Sjögren's syndrome (SS): the European League Against Rheumatism (EULAR) SS Patient Reported Index (ESSPRI) and the EULAR SS Disease Activity Index (ESSDAI). Methods A prospective international 6-month duration validation study was conducted in 15 countries. At each visit, physicians completed ESSDAI, SS disease activity index (SSDAI), Sjögren's Systemic Clinical Activity Index (SCAI) and physician global assessment (PhGA); and patients completed ESSPRI, Sicca Symptoms Inventory (SSI), Profile of Fatigue and Discomfort (PROFAD) and patient global assessment (PGA). Psychometric properties (construct validity, responsiveness and reliability) were evaluated and compared between scores. Results Of the 395 patients included, 145 (37%) and 251 (64%) had currently active or current or past systemic manifestations, respectively. EULAR scores had higher correlation with the gold standard than other scores (ESSDAI with PhGA: r=0.59; ESSRPI with PGA: r=0.70). Correlations between patient and systemic scores were very low (ranging from 0.07 to 0.29). All systemic scores had similar large responsiveness in improved patients. Responsiveness of patient scores was low but was significantly higher for ESSPRI compared with SSI and PROFAD. Reliability was very good for all scores. Conclusions ESSDAI and ESSPRI had good construct validity. All scores were reliable. Systemic scores had a large sensitivity to change in patients whose disease activity improves. Patient scores had a small sensitivity to change, however, significantly better for ESSPRI. Systemic and patient scores poorly correlated, suggesting that they are 2 complementary components that should be both evaluated, but separately.

Background The utility of generic health-related quality of life (HRQoL) questionnaires in patients with systemic lupus erythematosus (SLE) is uncertain. We compared the performance of generic (SF36) and specific (SLEQOL) HRQoL surveys by examining their associations with the Global Rating of Change (GRC) and SLE clinical indicators. Methods The study included SLE patients who attended a single-center rheumatology clinic between 2013 and 2017. Patients completed both specific (SLEQOL) and generic (SF36) surveys and rated their GRC compared to the previous visit using a 7-point Likert scale on the same day of routine visits. Based on GRC scores, patients’ change in HRQoL was categorized as “no change,” “deterioration,” or “improvement.” Disease activity (SLEDAI-2K), flare, and lupus low disease activity state (LLDAS) were assessed at each visit, and organ damage (SDI) was determined annually. Pairwise correlations between SLEQOL and SF36 components were examined, and associations between GRC status and SLE disease indicators were compared using generalized estimating equations (GEE). Results Three hundred thirty-seven patients with 2062 visits were included in the analysis. SLEQOL correlated significantly with SF36. Patients reported improvements in HRQoL in 58%, deterioration in 15%, and “no change” in 27% of all visits. Compared to the “no change” group, mean SF36 and SLEQOL scores were significantly lower in the deterioration group and higher in the improvement group. The magnitude of changes observed with SLEQOL and SF36 in the deterioration and improvement groups was similar. Patients in LLDAS had significantly higher mean scores in both SLEQOL and SF36. In contrast, patients with active disease, especially those with cutaneous, renal, central nervous system, and musculoskeletal activity, had significantly lower SLEQOL and SF36. Flare and organ damage were also associated with lower SLEQOL and SF36-PCS (physical component) but not with SF36-MCS (mental component). Conclusion SLEQOL and SF36 similarly describe HRQoL in SLE. Both instruments demonstrated strong associations with GRC-based deterioration or improvement as well as SLE disease status. LLDAS was associated with improved HRQoL.

Multiple sclerosis (MS) is an autoimmune demyelinating disease of the central nervous system, and the most common cause of nontraumatic disability in young adults. Most patients have a relapsing–remitting course, and roughly half of them will eventually enter a degenerative progressive phase, marked by gradual accrual of disability over time in the absence of relapses. Early initiation of treatment has delayed the onset of disability progression. Thus, there is increased interest in treating to target in MS, particularly targeting no evidence of disease activity. This review will describe the most common treatment goals in MS: the Rio scores, disease-free survival, and no evidence of disease activity. We will also cover how well current disease-modifying therapies achieve no evidence of disease activity, and discuss future options for improving MS treatment targets.

The lymphocyte-monocyte ratio (LMR) is a systemic inflammatory marker for prediction of disease development, progress, and survival. Recently, a genome-wide association study identified genetic variations in ITGA4 and HLA-DRB1 that affect the LMR levels and were widely believed to be susceptibility genes for autoimmune diseases, including rheumatoid arthritis (RA). However, the role of LMR in RA patients remains unclear. The LMR level and other laboratory data of 66 RA patients, 163 osteoarthritis (OA) patients, and 131 healthy controls (HC) were compared using binary logistic regression. The correlations between LMR and disease activity and other inflammatory markers were measured using the Spearman rank test. ROC curve analyses assessed the diagnostic accuracy of LMR in RA. The LMR and lymphocyte count were significantly lower in RA patients, whereas the monocyte count was significantly higher relative to the HC group/OA patients ( p  < 0.01). A decreased LMR has been associated with increased disease activity ( p  = 0.012). In addition, the DAS28 and traditional inflammatory markers, including ESR, CRP, RDW, PLR, and NLR, and immune-related factors, such as C4, IgA, and IgM, were inversely correlated with LMR, while hemoglobin and albumin were positively correlated with LMR. The ROC curve showed that the area under the curve of LMR was 0.705 (95%CI = 0.630–0.781). The corresponding specificity and sensitivity were 82.82 and 45.45%, respectively. The present study shows that the LMR is an important inflammatory marker which could be used to identify disease activity in RA patients and to distinguish RA from OA patients.

Background The purpose of this study was to determine the prevalence of high disease activity as measured using the Ankylosing Spondylitis Disease Activity Score (ASDAS) in ankylosing spondylitis (AS) patients who nonetheless have low Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) scores after anti-tumor necrosis factor (TNF) treatment. Its clinical impact on anti-TNF survival was also investigated. Methods We conducted a single-centre retrospective cohort study of AS patients having low BASDAI scores (< 4) and available ASDAS-C-reactive protein (CRP) data after 3 months of first-line anti-TNF treatment. Patients were grouped into high-ASDAS (≥ 2.1) and low-ASDAS (< 2.1) groups according to the ASDAS-CRP after 3 months of anti-TNF treatment. Their characteristics were compared. And survival analyses were carried out using Kaplan–Meier curves and log-rank test with the event being discontinuation of anti-TNF treatment due to lack/loss of efficacy. Results Among 116 AS patients with low BASDAI scores after 3 months of anti-TNF treatment, 38.8% were grouped into the high-ASDAS group. The high-ASDAS group tended to have greater disease activity after 9 months of treatment (BASDAI 2.9 ± 1.1 vs. 2.3 ± 1.4, p =0.007; ASDAS-CRP 1.8 ± 0.6 vs. 1.5 ± 0.7, p =0.079; proportion of high ASDAS-CRP 27.8% vs. 13.8%, p =0.094) and greater risk of discontinuing anti-TNF treatment due to lack/loss of efficacy than the low-ASDAS group ( p =0.011). Conclusions A relatively high proportion of AS patients with low BASDAI scores had high ASDAS-CRP. These low-BASDAI/high-ASDAS-CRP patients also had a greater risk for discontinuation of anti-TNF treatment due to low/lack of efficacy than the low-ASDAS group. The use of the ASDAS-CRP alone or in addition to the BASDAI may improve the assessment of AS patients treated with anti-TNF agents.

Background The objective of this post-hoc analysis was to assess the efficacy and safety of upadacitinib in psoriatic arthritis (PsA) patients with axial involvement. Methods Post-hoc analysis of SELECT-PsA 1 and SELECT-PsA 2 in patients randomized to upadacitinib 15 mg (UPA15), placebo (switched to UPA15 at week 24), or adalimumab 40 mg (ADA; SELECT-PsA 1 only). Axial involvement was determined by investigator judgement (yes or no; based on the totality of available clinical information, such as duration and characteristics of back pain, age of onset, and previous lab investigations and imaging, if available) alone, or investigator judgement and patient-reported outcome (PRO)-based criteria (Bath Ankylosing Spondylitis Disease Activity Index [BASDAI] ≥ 4 and BASDAI Q2 ≥ 4). Efficacy outcomes that describe axial disease activity, including BASDAI endpoints, such as change from baseline in the overall BASDAI score or proportion of patients achieving BASDAI50 (≥ 50% improvement from baseline), as well as Ankylosing Spondylitis Disease Activity Score (ASDAS) endpoints, such as mean change from baseline in overall ASDAS or proportion of patients achieving ASDAS inactive disease or low disease activity, were evaluated at weeks 12, 24, and 56, with nominal P -values shown. Treatment-emergent adverse events (TEAEs) are summarized through week 56. Results 30.9% of patients in SELECT-PsA 1 and 35.7% in SELECT-PsA 2 had axial involvement by investigator judgement alone; 22.6% (SELECT-PsA 1) and 28.6% (SELECT-PsA 2) had axial involvement by investigator judgement and PRO-based criteria. Greater proportions of patients achieved BASDAI50 with UPA15 versus placebo using either criterion, and versus ADA using investigator judgement alone, at week 24 in SELECT-PsA 1 (investigator alone: UPA15, 59.0%, placebo, 26.9%, P  < 0.0001, ADA, 44.1%, P  = 0.015; investigator and PRO-based: UPA15, 60.4%, placebo, 29.3%, P  < 0.0001, ADA, 47.1%, P  = 0.074), with comparable findings in SELECT-PsA 2. Similar results were observed with UPA15 for additional BASDAI and ASDAS endpoints at weeks 12 and 24, with improvements maintained at week 56. Rates of TEAEs were generally similar across sub-groups irrespective of axial involvement status. Conclusions PsA patients with axial involvement determined by predefined criteria showed greater BASDAI and ASDAS responses with UPA15 versus placebo, and numerically similar/greater responses versus ADA. Safety results were generally comparable between patients with or without axial involvement. Trial registration ClinicalTrials.gov: SELECT-PsA 1, NCT03104400; SELECT-PsA 2, NCT0310437.

ObjectiveOsteoporosis (OP) is a comorbidity of rheumatoid arthritis (RA) that largely causes disability. This study discussed the expression patterns of serum immunoregulatory factors and their clinical significance in RA patients complicated with OP.MethodsA total of 116 RA patients were enrolled. Bone mineral density (BMD) was measured using dual energy X-ray absorptiometry to allocate patients to OP group (N = 62) and non-OP group (N = 54). CRP, rheumatoid factor, IgG, IgA, and IgM were detected using rate nephelometry. Erythrocyte sedimentation rate (ESR) and bone metabolic indexes were detected using Microsed automatic ESR analyzer and Cobas e601 automated immunoassay systems and reagents. IL-17, IL-6, TNF-α, IL-10, and IL-4 levels were determined using ELISA kit and their prediction values on OP were analyzed using the ROC curve. Influencing factors of OP incidence were analyzed using logistic regression model.ResultsRA patients with OP showed increased age, disease course, tender and swollen joints, ESR, CRP, DAS28 scores, β-CTX, IL-17, IL-6, and TNF-α, and decreased 25(OH)D3, IL-10, and IL-4. DAS28 was positively correlated with IL-17, IL-6, and TNF-α, and negatively correlated with IL-10 and IL-4. DAS28, IL-17, IL-10, and IL-4 were independently correlated with OP in RA patients. The combination of DAS28, IL-17, IL-10, and IL-4 can better predict the incidence of OP complication in RA patients.ConclusionIL-17, IL-6, TNF-α, IL-10, and IL-4 were associated with disease activity of RA patients complicated with OP. A combination of DAS28, IL-17, IL-10, and IL-4 might predict OP incidence in RA patients.Key Points• OP in RA patients shows an association with serum immunoregulatory factors.• Moreover, the combination of DAS28, IL-17, IL-10, and IL-4 could predict the incidence of OP in RA patients.

This study aimed to compare the rates of disease remission evaluated using various remission criteria, including Boolean2.0, Boolean1.0, clinical disease activity index (CDAI), simplified disease activity index (SDAI), and disease activity score using 28 joints based on C-reactive protein (DAS28-CRP) in patients with rheumatoid arthritis (RA). A cross-sectional observational analysis was performed using data from patients with RA enrolled in a smart system of disease management group (SSDM). The clinical remission rates of RA patients estimated using the DAS28-CRP, CDAI, SDAI, Boolean1.0 and Boolean2.0 criteria were investigated. Variables were compared using the -test, -test, or -squared test. The agreement between Boolean remission and the DAS28-CRP, CDAI, or SDAI definitions of remission was assessed using McNemar's test with k coefficient of agreement. A total of 5619 patients were included in the analysis. The mean age of the patients was 56.33 (±13.01) years, with the majority being female (4491, 79.9%). The rates of remission, as assessed by Boolean2.0, Boolean1.0, DAS28-CRP, CDAI, and SDAI, were 16.6%, 9.7%, 35.2%, 9.1%, and 9.4%, respectively. Comparison with Boolean1.0 criteria revealed higher concordance between Boolean2.0 and DAS28-CRP remission and lower concordance with CDAI and SDAI, regardless of whether the analysis was conducted on the entire population or subgroups based on gender, age or disease duration. Additionally, the administration of different medications may have influenced the rate of Boolean2.0 remission. This study demonstrated a higher concordance between Boolean2.0 criteria and DAS28-CRP remission and a lower concordance with CDAI and SDAI when compared with Boolean1.0 remission criteria.

IntroductionSLE disease activity score (SLE-DAS) is a novel, rapid, continuous and comprehensive score that overcomes the drawbacks of SLEDAI-2 K. Low lupus disease activity state (LLDAS) has been targeted as an endpoint in many clinical trials and as a favourable outcome in clinical practice. Therefore, our objective in the current study is to evaluate the validity of SLE-DAS for defining LLDAS as an objective in the treat-to-target strategy.MethodsA cross-sectional study was carried out on 117 SLE patients who were diagnosed according to Systemic Lupus International Collaborating Clinics (SLICC) classification criteria for SLE. Patients were evaluated for disease activity by both SLEDAI-2 K and SLE-DAS. Additionally, patients were divided according to the SLEDAI-2 K-derived LLDAS definition into two groups: low disease activity (LDA) group and high disease activity (HDA) group. The validity of SLE-DAS for the definition of LLDAS was evaluated in comparison to SLEDAI-2 K.ResultsSLE-DAS shows highly significant positive correlation (r = 0.743, p < 0.001) with SLEDAI-2 K. The ROC curve revealed that SLE-DAS is valid for the assessment of activity with the best detection of LLDAS was at 6.62 with 95.5% sensitivity, 79.3% specificity and 89.6% accuracy. Moreover, it had a good agreement with the SLEDAI-2 K-derived definition of LLDAS (k = 0.765, p < 0.001).ConclusionSLE-DAS is a valid score for the definition of LLDAS which can be used in the clinical practice as a simple and precise standalone criterion.Key Points• Correlation between SLEDAI-2K and SLE-DAS revealed a high significance.• Identify SLE-DAS cut-off 6.62 for the definition of LLDAS.• There is a good agreement between SLEDAI-2K-derived definition of LLDAS and SLE-DAS definition.