Do patients with rheumatoid arthritis show a different course of COVID-19 compared to patients with spondyloarthritis?

[The German COVID-19 rheumatism register]

At the beginning of the coronavirus disease 2019 (COVID-19) pandemic in December 2019 there was no available evidence regarding the management of immunosuppressive or immunomodulatory treatment and the potential outcomes of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infections in inflammatory rheumatic diseases (IRD). As a result, the Justus Liebig University of Giessen, Germany, in collaboration with the German Society for Rheumatology, established the German COVID-19 register ( www.covid19-rheuma.de ). The COVID-19 register enabled for the first time a systematic documentation and evaluation of viral infections in patients with IRD. The data collection started as early as March 2020. Currently, the register is one of the largest global registers in the field of COVID-19 and IRD. As of 18 December 2023 the register has recorded more than 7100 cases. The first scientific findings on SARS-CoV‑2 infections in IRD patients were generated from the register in 2020, showing an association between disease activity of IRD, certain comorbidities, such as cardiovascular diseases and treatment with rituximab, with an unfavorable course. The contents and construction of the database of the register were designed at the conception to allow collaboration and data exchange with other national and international registers (e.g., EULAR COVID-19 register, COVID-19 global rheumatology alliance and the Lean European open survey on SARS-CoV‑2 infected patients). In addition, other registers and surveys were initiated. A vaccination register documents the tolerability and possible adverse reactions to COVID-19 vaccination in IRD patients. The data resulted in numerous publications and formed the basis for national and international recommendations for action in the care and vaccination of IRD patients during the COVID-19 pandemic. In summary, the German COVID-19 register has made a significant contribution to the understanding of the course of COVID-19 in IRD patients and has facilitated international collaboration for a better understanding of COVID-19 and IRD.

Factors associated with COVID-19 severity in patients with spondyloarthritis: Results of the French RMD COVID-19 cohort

OBJECTIVES

The objective of the current study was to evaluate the severity of COVID-19 and identify factors associated with severe disease outcomes in patients with spondyloarthritis (SpA), a chronic inflammatory rheumatic and musculoskeletal disease (RMD).

METHODS

We utilized patient data from the French national multicenter RMD COVID-19 cohort (NCT04353609). The primary outcome was to describe COVID-19 characteristics in patients with SpA based on disease severity of COVID-19 (mild, moderate or severe) with serious infection including moderate and severe cases. The secondary outcome was to identify the factors associated with serious COVID-19 classification.

RESULTS

Among the 626 patients with SpA (56% female, mean age 49±14 years) from the French RMD cohort, COVID-19 severity was mild in 508 (81%), moderate in 93 (15%), and severe in 25 (4%) patients. Clinical signs and symptoms of COVID-19 were reported in 587 (94%) patients, with the most frequent presented symptom of fever (63%) and cough (62%), followed by flu-like symptoms (53%), agueusia (39%), anosmia (37%), dyspnea (32%) and diarrhea (19.9%). COVID-19 severity was associated with corticosteroid therapy (OR=3.08 [95% CI: 1.44-6.58], P=0.004) and age (OR=1.06 [95% CI: 1.04-1.08], P<0.001) while use of tumor necrosis factor inhibitor (TNFi, OR=0.27 [95% CI: 0.09-0.78], P=0.01) was associated with less severe disease. We did not identify an association between NSAID use and COVID-19 severity.

CONCLUSIONS

In this study, the majority of patients with SpA had a favorable COVID-19 outcome. We confirmed age and corticosteroids therapy had a negative impact on disease outcomes while TNFi use was protective.

Axial spondyloarthritis and COVID-19: course, interactions, outcomes, and the role of vaccination

The review analyzes data on the course and outcomes of axial spondyloarthritis (axSpA) accumulated over the previous 2.5 years of the COVID-19 pandemic. The issues of clinical and immunological efficacy of vaccination against COVID-19 in this disease are considered. It was noted that the presence of axSpA, as well as treatment with tumor necrosis factor-á inhibitors and non-steroidal anti-inflammatory drugs, did not significantly increase the risk of COVID-19 infection and did not worsen its outcomes, apart from an increase in the incidence of venous thromboembolism. At the same time, it is assumed that anticytokine therapy for SpA may protect against severe COVID-19 course.The data presented suggest that the benefits of vaccination in SpA far outweigh the potential harms associated with the development of adverse events. It has been shown that in patients with SpA, vaccination does not affect the activity of the inflammatory process, and biologic disease modifying antirheumatic drugs have almost no significant effect on the post-vaccination response.

Development of a Prediction Model for COVID-19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry

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.