Search

Objective To characterise the changing trends in the pharmacological management of SLE in the USA between 2007 and 2023 as new treatment options emerged.Methods In a retrospective cohort study using data from OptumLabs Data Warehouse, we characterised the annual prevalent (ie, all) and incident (ie, new) use of antimalarials, glucocorticoids and immunosuppressive medications among patients with SLE from 2007 to 2023 and assessed for changing trends over time.Results We identified 19 122 adults with SLE; they were 51.2 (SD 16.1) years of age, 89% were female, 61.3% were White, 18.5% were Black and 13.1% were Hispanic. The proportion of prevalent users of antimalarials has decreased from 79.4% in 2007 to 77.2% in 2023 (p=0.0055), while the proportion of incident users fluctuated between a lowest 5.8% in 2021 and a highest 8.1% in 2008 (p=0.008). The proportion of prevalent users of glucocorticoids increased from 64.6% in 2007 to 66.7% in 2023 (p=0.0132), as did the proportion of incident users (12.4% in 2007 to 21.7% in 2023; p

Objective The 2019 European Alliance of Associations for Rheumatology (EULAR)/American College of Rheumatology (ACR) systemic lupus erythematosus (SLE) classification criteria score (≥20 points) has been associated with poor outcomes. We aimed to evaluate its utility as a predictor for mortality and hospitalisation and to derive and validate an ominosity score based on the SLE classification criteria set.Methods Incident patients with SLE in a population-based cohort were included. The association between the 2019 EULAR/ACR SLE score and mortality and hospitalisation was assessed using Cox regression adjusted for age, sex and calendar year. An ominosity score for mortality was developed based on the SLE criteria set. The least absolute shrinkage and selection operator method was used to estimate model coefficients. Concordance and calibration were assessed by cross-validation and by plotting the observed event rates against the deciles of predicted probabilities.Results Among 374 patients with incident SLE, a EULAR/ACR score ≥20 points was not associated with an increased risk of mortality (HR 1.17, 95% CI 0.67 to 2.03) or first hospitalisation (HR 1.14, 95% CI 0.79 to 1.64) compared with a score ≤19 points. The derived ominosity score for mortality included age, sex, thrombocytopaenia, neuropsychiatric manifestations, subacute cutaneous or discoid lupus, non-scarring alopecia, inflammatory arthritis, renal involvement, antiphospholipid antibodies and hypocomplementaemia. This model demonstrated a concordance=0.76 with adequate calibration. Age and sex were the main predictors, as seen in the model including just age, sex and year (concordance=0.77).Conclusion The 2019 EULAR/ACR SLE criteria score was not associated with mortality and hospitalisation. The derived ominosity score for mortality presented good prediction for mortality but was not better than age and sex alone.

Objective We aimed to evaluate the robustness of phase III randomised controlled trials (RCTs) for SLE and lupus nephritis (LN) using the fragility index (FI), the reverse FI (RFI) and the fragility quotient (FQ).Methods We searched for phase III RCTs that included patients with active SLE or LN. Data on primary endpoints, total participants and the number of events for each arm were obtained. We calculated the FI score for RCTs with statistically significant results (number of patients required to change from event to non-event to make the study lose statistical significance), the RFI for RCTs without statistically significant results (number of patients required to change from non-event to event to make study gain statistical significance) and the FQ score for both (FI or RFI score divided by the sample size).Results We evaluated 20 RCTs (16 SLE, four LN). The mean FI/RFI score was 13.6 (SD 6.6). There were nine RCTs with statistically significant results (seven SLE, two LN), and the mean FI score was 10.2 (SD 6.2). The lowest FI was for the ILLUMINATE-2 trial (FI=2), and the highest FI was for the BLISS-52 trial (FI=17).Twelve studies had non-statistically significant results (10 SLE, two LN) with a mean RFI score of 15.6 (SD 6.1). The lowest RFI was for the ILLUMINATE-1 trial (RFI=4), and the highest RFI was for the TULIP-1 trial (RFI=27). The lowest FQ scores were found in the ILLUMINATE trials and the highest in the Rituximab trials (EXPLORER and LUNAR), meaning that the last ones were the most robust results after accounting for sample size.Conclusions The evidence of therapies for patients with SLE and LN is derived mostly from fragile RCTs. Clinicians and trialists must be aware of the fragility of these RCTs for clinical decision-making and designing trials for novel therapeutics.

Objectives To determine whether antecedent sinusitis is associated with incident rheumatic disease.Methods This population-based case–control study included all individuals meeting classification criteria for rheumatic diseases between 1995 and 2014. We matched three controls to each case on age, sex and length of prior electronic health record history. The primary exposure was presence of sinusitis, ascertained by diagnosis codes (positive predictive value 96%). We fit logistic regression models to estimate ORs for incident rheumatic diseases and disease groups, adjusted for confounders.Results We identified 1729 incident rheumatic disease cases and 5187 matched controls (mean age 63, 67% women, median 14 years electronic health record history). After adjustment, preceding sinusitis was associated with increased risk of several rheumatic diseases, including antiphospholipid syndrome (OR 7.0, 95% CI 1.8 to 27), Sjögren’s disease (OR 2.4, 95% CI 1.1 to 5.3), vasculitis (OR 1.4, 95% CI 1.1 to 1.9) and polymyalgia rheumatica (OR 1.4, 95% CI 1.0 to 2.0). Acute sinusitis was also associated with increased risk of seronegative rheumatoid arthritis (OR 1.8, 95% CI 1.1 to 3.1). Sinusitis was most associated with any rheumatic disease in the 5–10 years before disease onset (OR 1.7, 95% CI 1.3 to 2.3). Individuals with seven or more codes for sinusitis had the highest risk for rheumatic disease (OR 1.7, 95% CI 1.3 to 2.4). In addition, the association between sinusitis and incident rheumatic diseases showed the highest point estimates for never smokers (OR 1.7, 95% CI 1.3 to 2.2).Conclusions Preceding sinusitis is associated with increased incidence of rheumatic diseases, suggesting a possible role for sinus inflammation in their pathogenesis.

Objectives The objective is to examine utilisation of cardiovascular preventive services in patients with rheumatoid arthritis (RA), compared with a non-RA population, and to examine cardiovascular disease (CVD) screening rates among RA patients without diabetes mellitus (DM), hypertension or hyperlipidaemia to non-RA patients with one of these diagnoses.Methods All ≥18-year-old patients with an RA diagnosis living in one of eight Minnesota counties on 1 January 2015 were included and matched (1:1) by sex, age and county to non-RA comparators. Rates of screening for CVD risk factors, including DM (ie, glucose), hypertension (ie, blood pressure) and hyperlipidaemia (ie, lipids), were compared between groups using Cox models.Results The study included 1614 patients with RA and 1599 non-RA comparators. DM screening was more common among patients with RA (HR: 1.10, 95% CI: 1.01 to 1.19), as was hypertension screening (HR: 1.37, 95% CI: 1.24 to 1.52). Hyperlipidaemia screening in RA was similar to comparators (HR: 0.99, 95% CI: 0.89 to 1.10). Conversely, patients with RA and no CVD risk factors had a lower probability of undergoing diabetes (HR: 0.67, 95% CI: 0.57 to 0.78) and hyperlipidaemia screening (HR: 0.65, 95% CI: 0.54 to 0.79) than non-RA patients with only one CVD risk factor diagnosis. Hypertension screening was similar between both groups.Conclusions RA patients undergo CVD preventive screening at rates at least comparable to the general population. However, patients with RA as their sole CVD risk factor were less likely to undergo screenings, despite an equivalent-to-higher risk as the traditional CVD risk factors. These findings demonstrate opportunities for improvement of RA patient care.

Objective To describe people with gout who were diagnosed with coronavirus disease 2019 (COVID‐19) and hospitalized and to characterize their outcomes. Methods Data on patients with gout hospitalized for COVID‐19 between March 12, 2020, and October 25, 2021, were extracted from the COVID‐19 Global Rheumatology Alliance registry. Descriptive statistics were used to describe the demographics, comorbidities, medication exposures, and COVID‐19 outcomes including oxygenation or ventilation support and death. Results One hundred sixty‐three patients with gout who developed COVID‐19 and were hospitalized were included. The mean age was 63 years, and 85% were male. The majority of the group lived in the Western Pacific Region (35%) and North America (18%). Nearly half (46%) had two or more comorbidities, with hypertension (56%), cardiovascular disease (28%), diabetes mellitus (26%), chronic kidney disease (25%), and obesity (23%) being the most common. Glucocorticoids and colchicine were used pre‐COVID‐19 in 11% and 12% of the cohort, respectively. Over two thirds (68%) of the cohort required supplemental oxygen or ventilatory support during hospitalization. COVID‐19‐related death was reported in 16% of the overall cohort, with 73% of deaths documented in people with two or more comorbidities. Conclusion This cohort of people with gout and COVID‐19 who were hospitalized had high frequencies of ventilatory support and death. This suggests that patients with gout who were hospitalized for COVID‐19 may be at risk of poor outcomes, perhaps related to known risk factors for poor outcomes, such as age and presence of comorbidity.

Objective Some patients with rheumatic diseases might be at higher risk for coronavirus disease 2019 (COVID‐19) acute respiratory distress syndrome (ARDS). We aimed to develop a prediction model for COVID‐19 ARDS in this population and to create a simple risk score calculator for use in clinical settings. Methods Data were derived from the COVID‐19 Global Rheumatology Alliance Registry from March 24, 2020, to May 12, 2021. Seven machine learning classifiers were trained on ARDS outcomes using 83 variables obtained at COVID‐19 diagnosis. Predictive performance was assessed in a US test set and was validated in patients from four countries with independent registries using area under the curve (AUC), accuracy, sensitivity, and specificity. A simple risk score calculator was developed using a regression model incorporating the most influential predictors from the best performing classifier. Results The study included 8633 patients from 74 countries, of whom 523 (6%) had ARDS. Gradient boosting had the highest mean AUC (0.78; 95% confidence interval [CI]: 0.67‐0.88) and was considered the top performing classifier. Ten predictors were identified as key risk factors and were included in a regression model. The regression model that predicted ARDS with 71% (95% CI: 61%‐83%) sensitivity in the test set, and with sensitivities ranging from 61% to 80% in countries with independent registries, was used to develop the risk score calculator. Conclusion We were able to predict ARDS with good sensitivity using information readily available at COVID‐19 diagnosis. The proposed risk score calculator has the potential to guide risk stratification for treatments, such as monoclonal antibodies, that have potential to reduce COVID‐19 disease progression.

Background Comparative efficacy randomized controlled trials (RCTs) compare two active interventions in a head‐to‐head design. They are useful for informing clinical practice guidelines, but the degree to which such trials inform clinical practice guidelines in rheumatology is unknown. Methods The American College of Rheumatology (ACR) and European Alliance of Associations for Rheumatology (EULAR) websites were searched from January 1, 2017, to June 12, 2021, for clinical practice guidelines. RCTs referenced by each guideline were identified, and information regarding design and outcomes were extracted. Clinical practice recommendations from each guideline were also analyzed. Results Fifteen ACR‐ and nine EULAR‐endorsed guidelines were included, which cited 609 RCTs and provided 481 recommendations. Referenced RCTs enrolled an average of 418 patients (SD 985), most commonly evaluated biologic/targeted synthetic disease‐modifying antirheumatic drugs (70.1%), and infrequently used a head‐to‐head design (28%). A minority of recommendations received a high level of evidence (LOE) by the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) methodology (2.9%) or an “A” grade by the Oxford Centre for Evidence based Medicine Standards (OCEBM) methodology (28.9%). LOE was higher for recommendations informed by RCTs (P

Abstract Background Systemic lupus erythematosus (SLE) is a disease that can lead to damage of multiple organs and, along with certain treatments, increase the risk of developing cancer, cardiovascular disease, diabetes, osteoporosis, and infections. Preventive services are particularly important in patients with SLE to mitigate the aforementioned risks. We aimed to evaluate the trends of preventive services utilization in patients with systemic lupus erythematosus, compared with non-SLE population. Methods All ≥19-year-old patients in the Lupus Midwest Network (LUMEN) registry, a population-based cohort, with SLE on January 1, 2015, were included and matched (1:1) by sex, age, race, and county to non-SLE comparators. Among both groups, we compared the rates of screenings for breast and cervical cancer, hypertension, hyperlipidemia, diabetes mellitus, and osteoporosis as well as immunizations. Results We included 440 SLE patients and 430 non-SLE comparators. The probability of breast cancer screening among women with SLE was similar to comparators (hazard ratio [HR] 1.09, 95% CI 0.85–1.39), while cervical cancer screening was lower (HR 0.75, 95% CI 0.58–0.96). Hypertension screening was higher among patients with SLE (HR 1.35, 95% CI 1.13–1.62); however, hyperlipidemia screening was similar to comparators (HR 1.16, 95% CI 0.96–1.41). Diabetes and osteoporosis screenings were more likely to be performed for SLE patients than for comparators (HR 2.46, 95% CI 2.11–2.87; and HR 3.19, 95% CI 2.31–4.41; respectively). Influenza and pneumococcal immunizations were higher among SLE patients (HR 1.31, 95% CI 1.12–1.54; and HR 2.06, 95% CI 1.38–3.09; respectively), while zoster vaccination was similar (HR 1.17, 95% CI 0.81–1.69). Conclusions The trends of utilization of preventive services by SLE patients vary according to screening or vaccine compared with the general population. Considering these differences, we demonstrate an opportunity for improvement, particularly in cervical cancer, hyperlipidemia, and osteoporosis screenings and vaccinations.

IntroductionThe longitudinal responses towards multiple doses of COVID-19 mRNA vaccines in patients with systemic autoimmune diseases remain incompletely understood. While observational studies suggested the safety of COVID-19 mRNA vaccines in rheumatic disease patients, laboratory evidence is lacking.MethodsHere we evaluated seroreactivity, clinical manifestions, and multiple disease biomarkers after 2 or 3 doses of COVID-19 mRNA vaccines in a cohort of patients with rheumatic diseases.ResultsMost patients generated high SARS-CoV-2 spike-specific neutralizing antibodies comparable to those in healthy controls after 2 doses of mRNA vaccines. The antibody level declined over time but recovered after the third dose of the vaccine. Patients with systemic lupus erythematosus (SLE) or psoriatic arthritis (PsA) remained without significant flares post-vaccination. The changes in anti-dsDNA antibody concentration and expression of type I interferon (IFN) signature genes were highly variable but did not show consistent or significant increases. Frequency of double negative 2 (DN2) B cells remained largely stable.DiscussionOur data provide experimental evidences indicating the efficacy and safety of repeated COVID-19 mRNA vaccination in rheumatic disease patients.

Objective We investigated prolonged COVID-19 symptom duration, defined as lasting 28 days or longer, among people with systemic autoimmune rheumatic diseases (SARDs).Methods We analysed data from the COVID-19 Global Rheumatology Alliance Vaccine Survey (2 April 2021–15 October 2021) to identify people with SARDs reporting test-confirmed COVID-19. Participants reported COVID-19 severity and symptom duration, sociodemographics and clinical characteristics. We reported the proportion experiencing prolonged symptom duration and investigated associations with baseline characteristics using logistic regression.Results We identified 441 respondents with SARDs and COVID-19 (mean age 48.2 years, 83.7% female, 39.5% rheumatoid arthritis). The median COVID-19 symptom duration was 15 days (IQR 7, 25). Overall, 107 (24.2%) respondents had prolonged symptom duration (≥28 days); 42/429 (9.8%) reported symptoms lasting ≥90 days. Factors associated with higher odds of prolonged symptom duration included: hospitalisation for COVID-19 vs not hospitalised and mild acute symptoms (age-adjusted OR (aOR) 6.49, 95% CI 3.03 to 14.1), comorbidity count (aOR 1.11 per comorbidity, 95% CI 1.02 to 1.21) and osteoarthritis (aOR 2.11, 95% CI 1.01 to 4.27). COVID-19 onset in 2021 vs June 2020 or earlier was associated with lower odds of prolonged symptom duration (aOR 0.42, 95% CI 0.21 to 0.81).Conclusion Most people with SARDs had complete symptom resolution by day 15 after COVID-19 onset. However, about 1 in 4 experienced COVID-19 symptom duration 28 days or longer; 1 in 10 experienced symptoms 90 days or longer. Future studies are needed to investigate the possible relationships between immunomodulating medications, SARD type/flare, vaccine doses and novel viral variants with prolonged COVID-19 symptoms and other postacute sequelae of COVID-19 among people with SARDs.

Humoral vaccine responses are known to be suboptimal in patients receiving B-cell targeted therapy, and little is known about vaccine induced T-cell immunity in these patients. In this study, we characterized humoral and cellular antigen-specific anti-SARS-CoV2 responses following COVID-19 vaccination in patients with ANCA-associated vasculitis (AAV) receiving anti-CD20 therapy, who were either B-cell depleted, or B-cell recovered at the time of vaccination and in normal control subjects. SARS-CoV-2 anti-spike (S) and anti-nucleocapsid (NC) antibodies were measured using electrochemiluminescence immunoassays, while SARS-CoV-2 specific T-cell responses to S glycoprotein subunits 1 (S1) and 2 (S2) and receptor binding domain peptide pools were measured using interferon-gamma enzyme-linked immunosorbent spot (ELISPOT) assays. In total, 26 recently vaccinated subjects were studied. Despite the lack of a measurable humoral immune response, B-cell depleted patients mounted a similar vaccine induced antigen-specific T-cell response compared to B-cell recovered patients and normal controls. Our data indicate that to assure a humoral response in patients receiving anti-CD20 therapy, SARS-CoV-2 vaccination should ideally be delayed until B-cell recovery (CD-20 positive B-cells > 10/μl). Nevertheless, SARS-CoV-2 vaccination elicits robust, potentially protective cellular immune responses in these subjects. Further research to characterize the durability and protective effect of vaccine-induced anti-SARS-CoV-2 specific T-cell immunity are needed.

To determine if cognitive dysfunction in patients with systemic lupus erythematosus (SLE) derives from an inflammatory process with continuing disease activity, and increased levels of autoantibodies and inflammatory molecules in serum and cerebrospinal fluid (CSF).100 randomly selected patients participating in an inception SLE cohort were studied. At entry into the cohort, a standardized medical history and extensive laboratory tests profile, including autoantibodies were completed. Follow-up occurred every 3-6 months with assessment of lupus characteristics, comorbidities, and treatment. After a mean follow-up of six-years, cross-sectional evaluation of cognitive function was done with standardized tests, and in a subset of patients an extended profile of autoantibodies, cytokines and chemokines was measured in serum and CSF.At enrollment into the cohort, patients were 26.4±8.2 years of age and lupus duration 5.3±3.7 months. Moderate/severe cognitive dysfunction was diagnosed in 16 patients; in comparison to patients with normal cognitive function, they had lower education 9 vs. 12 years (P = 0.006), higher body mass index 26.7 vs. 24.3 (P = 0.03), positive IgG anticardiolipin antibodies 50% vs 18% (P = 0.009), and a higher median number of concomitant NPSLE syndromes 3 vs. 1, (P = 0.04). The prevalence of cardiovascular-risk factors, other auto-antibodies, lupus activity, treatment, and incidence of critical events did not differ. In serum and CSF, the levels of autoantibodies, cytokines and chemokine were similar, only CCL2 was elevated in CSF [886.1 (374.9-1439.7) vs. 515.8 (3.2-1958.2) pg/mL, P = 0.04].Scant evidence of inflammation in SLE patients with cognitive dysfunction was observed. Only a higher prevalence of IgG anticardiolipin antibodies in serum and increased levels of CCL2 in CSF were detected.