No abstract

Giant cell arteritis (GCA) is the most common form of vasculitis in individuals older than 50 years in Western countries. To shed light onto the genetic background influencing susceptibility for GCA, we performed a genome-wide association screening in a well-powered study cohort. After imputation, 1,844,133 genetic variants were analyzed in 2,134 case subjects and 9,125 unaffected individuals from ten independent populations of European ancestry. Our data confirmed HLA class II as the strongest associated region (independent signals: rs9268905, p = 1.94 × 10, per-allele OR = 1.79; and rs9275592, p = 1.14 × 10, OR = 2.08). Additionally, PLG and P4HA2 were identified as GCA risk genes at the genome-wide level of significance (rs4252134, p = 1.23 × 10, OR = 1.28; and rs128738, p = 4.60 × 10, OR = 1.32, respectively). Interestingly, we observed that the association peaks overlapped with different regulatory elements related to cell types and tissues involved in the pathophysiology of GCA. PLG and P4HA2 are involved in vascular remodelling and angiogenesis, suggesting a high relevance of these processes for the pathogenic mechanisms underlying this type of vasculitis.

Mycoplasma pneumoniae is well known to be a frequent cause of atypical pneumonia worldwide. However, it may also present with a wide variety of clinical features, including cutaneous symptoms, which are not widely recognised. Urticarial vasculitis occurring with M. pneumoniae has been described to occur in only one other case report. This amalgamation of non-specific clinical symptoms and signs can lead to a diagnostic dilemma. We describe a case of M. pneumoniae infection presenting with extrapulmonary manifestations and urticarial vasculitis, which was misdiagnosed as adult-onset Still's disease (AOSD). Had immunosuppressive therapy been commenced for AOSD in the presence of undiagnosed infection, this may have resulted in potentially serious consequences. This case highlights the need to remain vigilant about diagnosing M. pneumoniae as its serological diagnosis may take weeks and it has many extrapulmonary manifestations, which can masquerade as other conditions.

We describe a female patient with systemic lupus erythematosus (SLE) also diagnosed with Fabry’s disease and anti-phospholipid antibody syndrome (APS). SLE and Fabry’s disease are both systemic diseases with variable clinical presentations. Recent studies have shown a relatively high incidence of late onset Fabry’s disease in female heterozygous individuals, suggesting that this condition could be under-diagnosed. We discuss a possible association between SLE and Fabry’s disease and consider the role of lipid abnormalities in the pathogenesis of SLE.

Objective Interstitial lung disease (ILD) is one of the commonest systemic complications in patients with rheumatoid arthritis (RA) and carries a significant morbidity and mortality burden. We aimed to identify key variables to risk-stratify RA patients in order to identify those at increased risk of developing ILD. We propose a probability score based on the identification of these variables. Methods A retrospective, multicentre study using clinical data collected between 2010 and 2020, across 20 centres. Results A total of 430 RA (210 with ILD confirmed on high-resolution computed tomography (HRCT)) patients were evaluated. We explored several independent variables for the risk of developing ILD in RA and found that the key significant variables were smoking (past or present), older age and positive rheumatoid factor/anti-cyclic citrullinated peptide. Multivariate logistic regression models were used to form a scoring system for categorising patients into high and low risk on a scale of 0–9 points and a cut-off score of 5, based on the area under the receiver operating characteristic curve of 0.76 (CI 95% 0.71–0.82). This yielded a sensitivity of 86% and a specificity of 58%. High-risk patients should be considered for investigation with HRCT and monitored closely. Conclusion We have proposed a new model for identifying RA patients at risk of developing ILD. This approach identified four simple clinical variables: age, anti-cyclic citrullinated peptide antibodies, Rheumatoid factor and smoking, which allowed development of a predictive scoring system for the presence of ILD in patients with RA.