Long-term surveillance study of rituximab originator treated patients with granulomatosis with polyangiitis (GPA) or microscopic polyangiitis (MPA).

Objectives: Rituximab is used for remission induction and the prevention of relapse in anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV). This study evaluated the incidence of safety events and compared time to first serious adverse event (SAE) between a rituximab cohort and a cohort treated with non-rituximab therapies in a real-life setting. Methods: Rituximab surveillance study in vasculitis was a retrospective observational study of patients with AAV who received rituximab (MabThera) or other treatments between 2003 and 2017 at a specialist vasculitis clinic. The primary endpoint was time to first SAE. Results: 392 patients were enrolled: 247 in the rituximab and 145 in the control cohorts with a total follow up of 2217 person-years (mean study duration 5.7 years). Mean age was 61 years, 77% had granulomatosis with polyangiitis (GPA). There were differences in baseline characteristics (disease duration and prior immunosuppressive use) between groups. 134/247 patients (54%) in the rituximab and 58/145 (40%) of controls experienced at least one SAE. Time to first SAE was shorter in the rituximab group (hazard ratio (HR) 1.55, 95% CI 1.07-2.26, P = 0.022). Predictors of first SAE were higher vasculitis damage index and the presence of chronic pulmonary or kidney disease. The risk of serious infection was higher in the rituximab group (relative risk (RR) 2.12, 95% CI 1.31-3.43). Conclusion: Over 40% of patients with AAV experienced at least one SAE. Although shorter time to first SAE and higher risk of infection were observed in the rituximab group, baseline imbalances necessitate a careful interpretation of these results.

The value of axillary, facial, occipital, subclavian and common carotid arteries ultrasound in the diagnosis of giant cell arteritis.

OBJECTIVE: To assess the diagnostic value for GCA in adding the axillary arteries (AX) to the temporal artery (TA) ultrasound, particularly in patients with a cranial phenotype of the disease; and to investigate the utility of facial (FA), occipital (OC), subclavian (SC), and common carotid (CC) ultrasound in patients with suspected GCA. METHODS: Patients with new-onset GCA and a positive ultrasound of the TA, AX, FA, OC, SC or CC, followed at the rheumatology departments of two academic centres, were retrospectively included. RESULTS: 230 patients were assessed. TA halo sign was identified in 206/230 (89.6%) cases, FA in 40/82 (48.8%), OC in 17/69 (24.6%), AX in 56/230 (24.3%), SC in 31/57 (54.4%), and CC in 14/68 (20.6%). Negative TA ultrasound was found in 24/230 (10.4%) patients: 22 had AX involvement, 1 exclusive OC involvement and 1 exclusive SC involvement. Adding AX evaluation to the TA ultrasound increased the diagnostic yield for GCA in 9.6%, whereas adding OC or SCs to the TA and AX ultrasound increased it in 1.4% and 1.8%, respectively. No value was found in adding the FA or CCs. Notably, 13 patients with cranial symptoms and 4 with exclusively cranial symptoms showed negative TA ultrasound but positive AX ultrasound. CONCLUSION: Adding the evaluation of AXs to the TA ultrasound increased the number of patients diagnosed with GCA, even in cases of predominantly cranial symptoms. In the subset of patients where these arteries were assessed, no substantial benefit was found in adding the FA, OC, SC or CC arteries to the TA and AX ultrasonographic assessment.

Risk loci involved in giant cell arteritis susceptibility: a genome-wide association study.

BACKGROUND: Giant cell arteritis is an age-related vasculitis that mainly affects the aorta and its branches in individuals aged 50 years and older. Current options for diagnosis and treatment are scarce, highlighting the need to better understand its underlying pathogenesis. Genome-wide association studies (GWAS) have emerged as a powerful tool for unravelling the pathogenic mechanisms involved in complex diseases. We aimed to characterise the genetic basis of giant cell arteritis by performing the largest GWAS of this vasculitis to date and to assess the functional consequences and clinical implications of identified risk loci. METHODS: We collected and meta-analysed genomic data from patients with giant cell arteritis and healthy controls of European ancestry from ten cohorts across Europe and North America. Eligible patients required confirmation of giant cell arteritis diagnosis by positive temporal artery biopsy, positive temporal artery doppler ultrasonography, or imaging techniques confirming large-vessel vasculitis. We assessed the functional consequences of loci associated with giant cell arteritis using cell enrichment analysis, fine-mapping, and causal gene prioritisation. We also performed a drug repurposing analysis and developed a polygenic risk score to explore the clinical implications of our findings. FINDINGS: We included a total of 3498 patients with giant cell arteritis and 15 550 controls. We identified three novel loci associated with risk of giant cell arteritis. Two loci, MFGE8 (rs8029053; p=4·96 × 10-8; OR 1·19 [95% CI 1·12-1·26]) and VTN (rs704; p=2·75 × 10-9; OR 0·84 [0·79-0·89]), were related to angiogenesis pathways and the third locus, CCDC25 (rs11782624; p=1·28 × 10-8; OR 1·18 [1·12-1·25]), was related to neutrophil extracellular traps (NETs). We also found an association between this vasculitis and HLA region and PLG. Variants associated with giant cell arteritis seemed to fulfil a specific regulatory role in crucial immune cell types. Furthermore, we identified several drugs that could represent promising candidates for treatment of this disease. The polygenic risk score model was able to identify individuals at increased risk of developing giant cell arteritis (90th percentile OR 2·87 [95% CI 2·15-3·82]; p=1·73 × 10-13). INTERPRETATION: We have found several additional loci associated with giant cell arteritis, highlighting the crucial role of angiogenesis in disease susceptibility. Our study represents a step forward in the translation of genomic findings to clinical practice in giant cell arteritis, proposing new treatments and a method to measure genetic predisposition to this vasculitis. FUNDING: Institute of Health Carlos III, Spanish Ministry of Science and Innovation, UK Medical Research Council, and National Institute for Health and Care Research.

Identifying key health system components associated with improved outcomes to inform the re-configuration of services for adults with rare autoimmune rheumatic diseases: a mixed-methods study.

BACKGROUND: Adults with rare autoimmune rheumatic diseases face unique challenges and struggles to navigate health-care systems designed to manage common conditions. Evidence to inform an optimal service framework for their care is scarce. Using systemic vasculitis as an exemplar, we aimed to identify and explain the key service components underpinning effective care for rare diseases. METHODS: In this mixed-methods study, data were collected as part of a survey of vasculitis service providers across the UK and Ireland, interviews with patients, and from organisational case studies to identify key service components that enable good care. The association between these components and patient outcomes (eg, serious infections, mortality) and provider outcomes (eg, emergency hospital admissions) were examined in a population-based data linkage study using routine health-care data obtained from patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis from national health datasets in Scotland. We did univariable and multivariable analyses using Bayesian poisson and negative binomial regression to estimate incident rate ratios (IRRs), and Cox proportional hazards models to estimate hazard ratios (HRs). People with lived experiences were involved in the research and writing process. FINDINGS: Good care was characterised by service components that supported timely access to services, integrated care, and expertise. In 1420 patients with ANCA-associated vasculitis identified from national health datasets, service-reported average waiting times for new patients of less than 1 week were associated with fewer serious infections (IRR 0·70 [95% credibility interval 0·55-0·88]) and fewer emergency hospital admissions (0·78 [0·68-0·92]). Nurse-led advice lines were associated with fewer serious infections (0·76 [0·58-0·93]) and fewer emergency hospital admissions (0·85 [0·74-0·96]). Average waiting times for new patients of less than 1 week were also associated with reduced mortality (HR 0·59 [95% credibility interval 0·37-0·93]). Cohorted clinics, nurse-led clinics, and specialist vasculitis multi-disciplinary team meetings were associated with fewer serious infections (IRR 0·75 [0·59-0·96] for cohorted clinics; 0·65 [0·39-0·84] for nurse-led clinics; 0·72 [0·57-0·90] for specialist vasculitis multi-disciplinary team meetings) and emergency hospital admissions (0·81 [0·71-0·91]; 0·75 [0·65-0·94]; 0·86 [0·75-0·96]). Key components were characterised by their ability to overcome professional tensions between specialties. INTERPRETATION: Key service components associated with important health outcomes and underpinning factors were identified to inform initiatives to improve the design, delivery, and effectiveness of health-care models for rare autoimmune rheumatic diseases. FUNDING: Versus Arthritis.

Polymyalgia rheumatica shows metabolomic alterations that are further altered by glucocorticoid treatment: Identification of metabolic correlates of fatigue.

OBJECTIVE: In polymyalgia rheumatica (PMR), glucocorticoids (GCs) relieve pain and stiffness, but fatigue may persist. We aimed to explore the effect of disease, GCs and PMR symptoms in the metabolite signatures of peripheral blood from patients with PMR or the related disease, giant cell arteritis (GCA). METHODS: Nuclear magnetic resonance spectroscopy was performed on serum from 40 patients with untreated PMR, 84 with new-onset confirmed GCA, and 53 with suspected GCA who later were clinically confirmed non-GCA, and 39 age-matched controls. Further samples from PMR patients were taken one and six months into glucocorticoid therapy to explore relationship of metabolites to persistent fatigue. 100 metabolites were identified using Chenomx and statistical analysis performed in SIMCA-P to examine the relationship between metabolic profiles and, disease, GC treatment or symptoms. RESULTS: The metabolite signature of patients with PMR and GCA differed from that of age-matched non-inflammatory controls (R2 > 0.7). There was a smaller separation between patients with clinically confirmed GCA and those with suspected GCA who later were clinically confirmed non-GCA (R2 = 0.135). In PMR, metabolite signatures were further altered with glucocorticoid treatment (R2 = 0.42) but did not return to that seen in controls. Metabolites correlated with CRP, pain, stiffness, and fatigue (R2 ≥ 0.39). CRP, pain, and stiffness declined with treatment and were associated with 3-hydroxybutyrate and acetoacetate, but fatigue did not. Metabolites differentiated patients with high and low fatigue both before and after treatment (R2 > 0.9). Low serum glutamine was predictive of high fatigue at both time points (0.79-fold change). CONCLUSION: PMR and GCA alter the metabolite signature. In PMR, this is further altered by glucocorticoid therapy. Treatment-induced metabolite changes were linked to measures of inflammation (CRP, pain and stiffness), but not to fatigue. Furthermore, metabolite signatures distinguished patients with high or low fatigue.

Computable phenotype for real-world, data-driven retrospective identification of relapse in ANCA-associated vasculitis.

OBJECTIVE: ANCA-associated vasculitis (AAV) is a relapsing-remitting disease, resulting in incremental tissue injury. The gold-standard relapse definition (Birmingham Vasculitis Activity Score, BVAS>0) is often missing or inaccurate in registry settings, leading to errors in ascertainment of this key outcome. We sought to create a computable phenotype (CP) to automate retrospective identification of relapse using real-world data in the research setting. METHODS: We studied 536 patients with AAV and >6 months follow-up recruited to the Rare Kidney Disease registry (a national longitudinal, multicentre cohort study). We followed five steps: (1) independent encounter adjudication using primary medical records to assign the ground truth, (2) selection of data elements (DEs), (3) CP development using multilevel regression modelling, (4) internal validation and (5) development of additional models to handle missingness. Cut-points were determined by maximising the F1-score. We developed a web application for CP implementation, which outputs an individualised probability of relapse. RESULTS: Development and validation datasets comprised 1209 and 377 encounters, respectively. After classifying encounters with diagnostic histopathology as relapse, we identified five key DEs; DE1: change in ANCA level, DE2: suggestive blood/urine tests, DE3: suggestive imaging, DE4: immunosuppression status, DE5: immunosuppression change. F1-score, sensitivity and specificity were 0.85 (95% CI 0.77 to 0.92), 0.89 (95% CI 0.80 to 0.99) and 0.96 (95% CI 0.93 to 0.99), respectively. Where DE5 was missing, DE2 plus either DE1/DE3 were required to match the accuracy of BVAS. CONCLUSIONS: This CP accurately quantifies the individualised probability of relapse in AAV retrospectively, using objective, readily accessible registry data. This framework could be leveraged for other outcomes and relapsing diseases.

Stroke frequency, associated factors, and clinical features in primary systemic vasculitis: a multicentric observational study.

OBJECTIVES: The cerebral vessels may be affected in primary systemic vasculitis (PSV), but little is known about cerebrovascular events (CVEs) in this population. This study aimed to determine the frequency of CVEs at the time of diagnosis of PSV, to identify factors associated with CVEs in PSV, and to explore features and outcomes of stroke in patients with PSV. METHODS: Data from adults newly diagnosed with PSV within the Diagnostic and Classification Criteria in VASculitis (DCVAS) study were analysed. Demographics, risk factors for vascular disease, and clinical features were compared between patients with PSV with and without CVE. Stroke subtypes and cumulative incidence of recurrent CVE during a prospective 6-month follow-up were also assessed. RESULTS: The analysis included 4828 PSV patients, and a CVE was reported in 169 (3.50%, 95% CI 3.00-4.06): 102 (2.13% 95% CI 1.73-2.56) with stroke and 81 (1.68% 95% CI 1.33-2.08) with transient ischemic attack (TIA). The frequency of CVE was highest in Behçet's disease (9.5%, 95% CI 5.79-14.37), polyarteritis nodosa (6.2%, 95% CI 3.25-10.61), and Takayasu's arteritis (6.0%, 95% CI 4.30-8.19), and lowest in microscopic polyangiitis (2.2%, 95% CI 1.09-3.86), granulomatosis with polyangiitis (2.0%, 95% CI 1.20-3.01), cryoglobulinaemic vasculitis (1.9%, 95% CI 0.05-9.89), and IgA-vasculitis (Henoch-Schönlein) (0.4%, 95% CI 0.01-2.05). PSV patients had a 11.9% cumulative incidence of recurrent CVE during a 6-month follow-up period. CONCLUSION: CVEs affect a significant proportion of patients at time of PSV diagnosis, and the frequency varies widely among different vasculitis, being higher in Behçet's. Overall, CVE in PSV is not explained by traditional vascular risk factors and has a high risk of CVE recurrence.

Vasculitic neuropathy-related disability, pain, quality of life, and autonomic symptoms: A survey of 312 patients.

OBJECTIVES: To assess self-reported symptoms of neuropathy, disability, pain, health-related quality of life (HR-QOL), and autonomic dysfunction in patients with vasculitis. METHODS: Patients with vasculitis (with or without neuropathy) were invited by Vasculitis UK to complete an anonymous online survey. RESULTS: 312 patients (71% female) responded. Median age was 61-70 years. Median duration of vasculitis was 4 years (<2 months to > 15 years). Vasculitic types included granulomatosis with polyangiitis (34%), unspecified ANCA-associated vasculitis (13%), microscopic polyangiitis (11%), eosinophilic granulomatosis with polyangiitis (11%), giant cell arteritis (10%), non-systemic vasculitic neuropathy (2%), and other (19%). Many patients reported foot/hand symptoms suggestive of neuropathy, including numbness (64%), pain (54%), or weakness (40%). 242 patients (78%) met our definition of probable vasculitic neuropathy: diagnosis of neuropathy by vasculitis team OR numbness OR weakness in feet/hands. Only 52% had been formally diagnosed with neuropathy. Compared with 70 patients without neuropathy, neuropathy patients had greater disability measured by the inflammatory Rasch-built Overall Disability Scale (centile mean 63.1 (SD 17.3) vs 75.2 (16.7); p< 0.0001), Inflammatory Neuropathy Cause and Treatment scale (median 2 (IQR 1-4) vs 0.5 (0-2); p< 0.0001), and modified Rankin scale (median 2 (IQR 1-3) vs 2 (1-2); p= 0.0002); greater pain on an 11-point rating scale (mean 4.6 (SD 2.6) vs 3.5 (2.8); p= 0.0009); and poorer HR-QOL on the EQ5D-3L (summary index mean 0.58 (SD 0.29) vs 0.69 (0.28); p<0.0001). Two-thirds reported autonomic symptoms (not associated with neuropathy). CONCLUSION: Neuropathy is common and associated with significant disability, pain, and impaired HR-QOL in patients with systemic vasculitis.