Citations

ObjectiveTo determine the association between race/ethnicity and COVID‐19 outcomes in individuals with systemic lupus erythematosus (SLE).MethodsIndividuals with SLE from the US with data entered into the COVID‐19 Global Rheumatology Alliance registry between March 24, 2020 and August 27, 2021 were included. Variables included age, sex, race, and ethnicity (White, Black, Hispanic, other), comorbidities, disease activity, pandemic time period, glucocorticoid dose, antimalarials, and immunosuppressive drug use. The ordinal outcome categories were: not hospitalized, hospitalized with no oxygenation, hospitalized with any ventilation or oxygenation, and death. We constructed ordinal logistic regression models evaluating the relationship between race/ethnicity and COVID‐19 severity, adjusting for possible confounders.ResultsWe included 523 patients; 473 (90.4%) were female and the mean ± SD age was 46.6 ± 14.0 years. A total of 358 patients (74.6%) were not hospitalized; 40 patients (8.3%) were hospitalized without oxygen, 64 patients (13.3%) were hospitalized with any oxygenation, and 18 (3.8%) died. In a multivariable model, Black (odds ratio [OR] 2.73 [95% confidence interval (95% CI) 1.36–5.53]) and Hispanic (OR 2.76 [95% CI 1.34–5.69]) individuals had higher odds of more severe outcomes than White individuals.ConclusionBlack and Hispanic individuals with SLE experienced more severe COVID‐19 outcomes, which is consistent with findings in the US general population. These results likely reflect socioeconomic and health disparities and suggest that more aggressive efforts are needed to prevent and treat infection in this population.

ObjectiveSome 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.MethodsData 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.ResultsThe 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.ConclusionWe 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.

Key points Raynaud's phenomenon may occur as a primary problem or secondary to an autoimmune disease such as scleroderma, mixed connective tissue disease, SLE, or Sjogren's. Lingual Raynaud's is rare, but it is important to recognize as it is often attributed to autoimmune disease. There is a wide range of symptoms in lingual Raynaud's from asymptomatic to severe, throbbing pain. Meticulous history taking is essential.

Adult-onset Still’s disease (AOSD) is characterised by a constellation of systemic inflammatory symptoms and typical laboratory findings like hyperferritinaemia. A high index of suspicion is needed to identify patients as diagnosis is primarily clinical and significant morbidity can result from delayed diagnosis. While AOSD may be self-limited, some patients experience flares over years and require more aggressive treatment approaches. Aetiology is unknown but can be triggered by viral infections and other environmental factors in a susceptible genetic host. We present a case of AOSD triggered after exposure to a sap-like liquid while working in Africa. This inciting event occurred as part of a hostile act towards the patient and involved medicinal practices traditional to the area. Our case highlights the more chronic course of AOSD, which requires escalating biological treatment to avoid long-term corticosteroids, as well as the juncture between traditional and modern medical practices.

Mesenteric panniculitis (MP), part of the spectrum of sclerosing mesenteritis, is an often asymptomatic disorder that is characterised by chronic inflammation of abdominal mesentery. We present a case of an 83-year-old woman who presented with proximal muscle weakness and erythematous, photosensitive rash of the face and upper torso and was subsequently diagnosed with dermatomyositis based on skin biopsy, electromyography and muscle biopsy. She had radiographic evidence of panniculitis on CT scan of the abdomen and pelvis for malignancy surveillance, which improved on serial CT scan 3 months after beginning treatment for her underlying dermatomyositis with prednisone and mycophenolate mofetil. Our case highlights that MP can be associated with underlying autoimmune disease. Connective tissue disease could be considered in the differential of MP when other etiologies such as surgery, trauma and malignancy are ruled out.