Prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification?

Machine learning prediction and explanatory models of serious infections in patients with rheumatoid arthritis treated with tofacitinib

BACKGROUND

Patients with rheumatoid arthritis (RA) have an increased risk of developing serious infections (SIs) vs. individuals without RA; efforts to predict SIs in this patient group are ongoing. We assessed the ability of different machine learning modeling approaches to predict SIs using baseline data from the tofacitinib RA clinical trials program.

METHODS

This analysis included data from 19 clinical trials (phase 2, n = 10; phase 3, n = 6; phase 3b/4, n = 3). Patients with RA receiving tofacitinib 5 or 10 mg twice daily (BID) were included in the analysis; patients receiving tofacitinib 11 mg once daily were considered as tofacitinib 5 mg BID. All available patient-level baseline variables were extracted. Statistical and machine learning methods (logistic regression, support vector machines with linear kernel, random forest, extreme gradient boosting trees, and boosted trees) were implemented to assess the association of baseline variables with SI (logistic regression only), and to predict SI using selected baseline variables using 5-fold cross-validation. Missing values were handled individually per prediction model.

RESULTS

A total of 8404 patients with RA treated with tofacitinib were eligible for inclusion (15,310 patient-years of total follow-up) of which 473 patients reported SIs. Amongst other baseline factors, age, previous infection, and corticosteroid use were significantly associated with SI. When applying prediction modeling for SI across data from all studies, the area under the receiver operating characteristic (AUROC) curve ranged from 0.656 to 0.739. AUROC values ranged from 0.599 to 0.730 in data from phase 3 and 3b/4 studies, and from 0.563 to 0.643 in data from ORAL Surveillance only.

CONCLUSIONS

Baseline factors associated with SIs in the tofacitinib RA clinical trial program were similar to established SI risk factors associated with advanced treatments for RA. Furthermore, while model performance in predicting SI was similar to other published models, this did not meet the threshold for accurate prediction (AUROC > 0.85). Thus, predicting the occurrence of SIs at baseline remains challenging and may be complicated by the changing disease course of RA over time. Inclusion of other patient-associated and healthcare delivery-related factors and harmonization of the duration of studies included in the models may be required to improve prediction.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT00147498; NCT00413660; NCT00550446; NCT00603512; NCT00687193; NCT01164579; NCT00976599; NCT01059864; NCT01359150; NCT02147587; NCT00960440; NCT00847613; NCT00814307; NCT00856544; NCT00853385; NCT01039688; NCT02187055; NCT02831855; NCT02092467.

The risk of tuberculosis infection in Saudi patients receiving adalimumab, etanercept, and tocilizumab therapy

BACKGROUND

The risk of infection including tuberculosis (TB) infection or reactivation during biological therapy with the current various clinical application is a major concern. This risk may be higher in countries endemic to TB. Our aim of this study is to determine the risk of TB infection in patients receiving 3 biological treatments, Adalimumab, Etanercept and Tocilizumab.

METHODS

A retrospective cohort study extending over 2 years follow-up for all patients receiving Adalimumab, Etanercept and Tocilizumab for various clinical indications in a tertiary care center in Saudi Arabia.

RESULT

Over the period of 2015-2019, A total of 410 patients received Adalimumab, 271 received Etanercept and 58 patients received Tocilizumab. Rheumatoid arthritis was the most common indication for therapy in all groups and for Adalimumab the most common indication was inflammatory bowel disease, for Etanercept was psoriatic arthritis and for Tocilizumab was juvenile idiopathic arthritis. After a mean follow up period of 36 ± 8.9 months for patients receiving Adalimumab, 21.5 ± 8.4 months for patients receiving Etanercept and 21 ± 2.5 months for patients receiving Tocilizumab there were no reported cases of TB infection in all groups. Only one patient was diagnosed with latent TB 7 months later after starting Adalimumab and tow patients after starting Etanercept. The overall Interferon Gamma Release Assays (IGRA) positivity rate was 9.7%. There was significant association between IGRA positivity rate and patient age. The cutoff age in which IGRA positivity has significantly increased was 53.20 years.

CONCLUSION

In our study, patients receiving Etanercept, Adalimumab and Tocilizumab had no increased risk of TB infection. Only 0.3% of patients treated with Adalimumab and 0.9% of patients treated with Etanercept converted to a positive IGRA during therapy.

Clinical characteristics and prognostic factors of non-tuberculous mycobacterial disease in patients with rheumatoid arthritis

BACKGROUND/AIMS

This study aimed to identify the clinical characteristics of patients with concurrent rheumatoid arthritis (RA) and suspected non-tuberculous mycobacterial (NTM) infections as well as determine their prognostic factors.

METHODS

We retrospectively reviewed the medical records of 91 patients with RA whose computed tomography (CT) findings suggested NTM infection. Subsequently, we compared the clinical characteristics between patients with and without clinical or radiological exacerbation of NTM-pulmonary disease (PD) and investigated the risk factors for the exacerbation and associated mortality.

RESULTS

The mean age of patients with RA and suspected NTM-PD was 65.0 ± 10.2 years. The nodular/bronchiectatic (NB) form of NTM-PD was the predominant radiographic feature (78.0%). During follow-up, 36 patients (41.9%) experienced a radiological or clinical exacerbation of NTM-PD, whereas 12 patients (13.2%) died. Combined interstitial lung disease (ILD), microbiologically confirmed NTM-PD, and NB with the fibrocavitary (FC) form on chest CT were identified as risk factors for the clinical or radiological exacerbation of NTM-PD. Hydroxychloroquine use was identified as a good prognostic factor. Conversely, history of tuberculosis, ILD, smoking, microbiologically confirmed NTM-PD, and NB with the FC form on chest CT were identified as poor prognostic factors for mortality in suspected NTM-PD.

CONCLUSION

ILD and NB with the FC form on chest CT were associated with NTM-PD exacerbation and mortality. Hydroxychloroquine use may lower the risk of NTM-PD exacerbation. Therefore, radiographic features and presence of ILD should be considered when predicting the prognosis of patients with RA and suspected NTM-PD.

Evaluation of Depression and Anxiety in Rheumatoid Arthritis Patients During COVID-19 Pandemic

Background

Rheumatoid arthritis (RA) disease activity, associated comorbidities, and therapy-related side effects impair the physical, social, and emotional dimensions of the patient's health. Presently, the ongoing COVID-19 pandemic has been associated with a broad range of psychosocial disorders in various populations. Patients with RA are especially vulnerable to such effects.

Objectives

Detect the prevalence of recent COVID-19 infection among patients with RA, assess depression and anxiety in these patients and their associated factors during the COVID-19 pandemic and their potential relation to disease activity.

Design and Methods

This is a cross-sectional study conducted on 120 adult Egyptian patients diagnosed with RA during the COVID-19 pandemic. The prevalence of recent COVID-19 infection among the patients was evaluated. The patients underwent psychological assessment using the Hamilton Depression Rating Scale (Ham-D) and the Hamilton Anxiety Rating Scale (Ham-A) to measure levels of depression and anxiety levels. The RA disease activity was assessed using Disease Activity Score (DAS) Das-28-ESR.

Results

This study encompasses a total of 120 RA patients. The prevalence of patients with a recent history of COVID-19 infection was 40.8%. Both groups exhibited significantly elevated mean scores on the Das-28-ESR scale and also scored higher on measures of depression and anxiety. Interestingly, the COVID-19 group exhibited a higher percentage of unmarried individuals, had educational attainment below the university level, and were unemployed. Patients with recent COVID-19 had significantly lower numbers of children, higher disease duration, higher Das-28-ESR scores, and elevated depression and anxiety scores. The statistical analysis revealed that the COVID-19 infection and disease duration were significant predictors of depression and anxiety. The results also exhibited that the depression score was positively correlated with age and DAS scores.

Conclusions

It was observed that patients diagnosed with RA revealed a higher prevalence of COVID-19 infection. The occurrence of depression and anxiety was observed to be widespread among patients diagnosed with RA and, more significantly, prevalent in RA patients who had a recent COVID-19 and had a higher level of disease activity. The occurrence of COVID-19 and disease duration were identified as factors that can anticipate the development of depression and anxiety.

Simultaneous determination of four phytoecdysteroids by LC-MS/MS: application to a comparative pharmacokinetic study in normal and adjuvant arthritis rats after oral administration of C. officinalis Kuan phytoecdysteroids extract

C. officinalis Kuan is the dry root of Cyathula officinalis Kuan. Clinically, it is used for fall and flutter injury, rheumatism and arthralgia. Phytoecdysteroids have significant anti-inflammatory effects, and the phytoecdysteroids present in C. officinalis Kuan exhibit potential for treating rheumatoid arthritis.This study first developed a selective, accurate and efficient LC-MS/MS method for 12-day pharmacokinetic studies regarding the simultaneous determination of cyasterone, 25-epi-28-epi-cyasterone, precyasterone and capitasterone from C. officinalis Kuan phytoecdysteroids extract in normal and adjuvant arthritis rats.An Agilent Eclipse Plus C18 RRHD column (1.8 µm, 50mm × 2.1 mm) with a gradient mobile phase consisting of water (A) and acetonitrile (B) was used for analysis. The mass analysis was performed in an Agilent 6430 QQQ-MS mass spectrometer with positive mode multiple reaction monitoring (MRM).The results indicated that the AUC0-t and AUC0-∞ values of the four phytoecdysteroids in adjuvant arthritis rats were different from those in normal rats on the first day, which could provide a helpful reference for pharmacological and toxicological studies, as well as clinical applications of C. officinalis Kuan in the treatment of rheumatoid arthritis.

Effect of treatment regimen of the rheumatoid arthritis patients on the risk of coronavirus disease 2019 by modulating the inflammatory mediators

BACKGROUND

The therapeutic profile of the patients with rheumatoid arthritis (RA) commonly consists of immunosuppressive and anti-inflammatory compounds. Here in this research, we assessed the potential effect of drug treatment in the RA patients in increasing the risk of coronavirus disease 2019 (COVID-19) infection.

METHODS

In this retrospective cross-sectional study, 200 subjects with RA were recruited. The treatment profile of the subjects for the past 6 months was collected. The COVID-19 diagnosis was implemented based on the standard molecular tests and clinical examinations. Serum concentration of cytokines was measured using enzyme-linked immunosorbent assay (ELISA).

RESULTS

It was detected that there was an increased risk of COVID-19 in RA subjects receiving Etanercept (OR = 3.51, 95% CI 1.19-10.30, P = 0.022). Concentrations of Interleukin (IL)-1β, Interferon (IFN)-γ, Tumor necrosis factor (TNF)-α, IL-6, IL-17A, and IL-23 were significantly higher in the RA patients with COVID-19 relative to RA cases without COVID-19. In RA/COVID-19 cases receiving Etanercept, serum levels of TNF-α, IL-1β, and IL-6 were significantly lower than RA/COVID-19 subjects without Etanercept therapy.

CONCLUSIONS

It seems that Etanercept therapy in RA cases might increase proneness of the COVID-19 risk in these cases. The mechanism of this increased risk may stem from suppressing a protective immunity state in the RA cases.

The Multimorbidity Web in rheumatoid arthritis

Multimorbidity, the presence of multiple chronic conditions, is highly prevalent in people with RA. An essential characteristic of multimorbidity is the interrelatedness of the different conditions that may develop in a multimorbid person. Recent studies have begun to identify and describe the Multimorbidity Web by elucidating unique multimorbidity patterns in people with RA. The primary multimorbidity patterns in this web are cardiopulmonary, cardiometabolic, and mental health and chronic pain multimorbidity. Once caught in the Multimorbidity Web, the consequences can be devastating, with reduced quality of life, physical function, survival, and treatment responses observed in multimorbid RA persons. The development of effective management and preventive approaches for multimorbidity in people with RA is in its infancy. Determining how best to assess, intervene, and prevent multimorbidity in RA is crucial to optimize long-term outcomes in people with RA.

Evidence for Biologic Drug Modifying Anti-Rheumatoid Drugs and Association with Cardiovascular Disease Risk Mitigation in Inflammatory Arthritis

Systemic auto-immune inflammatory arthritides are associated with increased cardiovascular (CV) risk compared to those without these conditions, and is a leading cause of morbidity and mortality. Newer biologic drug modifying antirheumatoid drugs (bDMARD) and small molecules have transformed treatment paradigms enabling tighter control of disease activity and in some cases, remission. There is evidence to suggest that the majority of bDMARDs may also reduce cardiovascular risk, although prospective interventional data remain sparse. Additionally, recent results raise concern for treatments targeting specific pathways that may negatively affect cardiovascular risk. This review will cover key biologic pathways targeted in rheumatoid arthritis, psoriatic arthritis, and spondyloarthropathies.

Incidence of severe infection in patients with rheumatoid arthritis taking biological agents: a systematic review

OBJECTIVE

The objective of this review was to estimate the population-based incidence of and determine the types of severe infection and deaths experienced by patients with rheumatoid arthritis taking biological agents.

INTRODUCTION

Since the late 1990s, various biological and synthetic drugs have been developed to treat rheumatoid arthritis. In recent years, the incidence of severe infection in patients with rheumatoid arthritis in Western nations has been determined by observational studies; however, no systematic review has been conducted on this topic.

INCLUSION CRITERIA

The following inclusion criteria were considered: i) observational studies on patients with rheumatoid arthritis treated with biological agents; ii) studies reporting the number of severe infections requiring hospitalization for treatment; iii) studies reporting person-years of observation data; and iv) studies based on rheumatoid arthritis registries, medical records from rheumatology centers, or insurance claim databases.

METHODS

PubMed, CINAHL, Embase, and Web of Science were searched to identify published studies. The reference lists of all studies selected for critical appraisal were screened for additional studies. Unpublished studies were searched on MedNar and OpenGrey databases. All the searches were updated on December 6, 2021. After removing the duplicates, 2 independent reviewers screened titles and abstracts against the inclusion criteria and then assessed full texts against the criteria. Two reviewers independently appraised the study and outcome levels for methodological quality using the critical appraisal instrument for cohort studies from JBI. Two reviewers extracted the relevant information related to severe infection and drugs.

RESULTS

Fifty-two studies from 21 countries reported severe infection rates associated with using 9 biologic agents. In total, 18,428 infections with 395,065 person-years of biologic drug exposure were included in the analysis. Thirty-five studies included infections in outpatients receiving intravenous antibiotic therapy. Fifteen studies reported the first episode of infection, and the remaining studies did not specify either the first or all of the episodes of infection. Inclusion of viral infection and/or opportunistic infection varied among studies. Fifteen studies reported the site of infection, and respiratory, skin/soft tissue, urinary tract infection, and sepsis/bacteremia were commonly reported. Ten studies reported the case fatality rates, ranging from 2.5% to 22.2%. Meta-analysis was conducted for 7 biologic agents and conventional disease-modifying antirheumatic drugs. The infection rate varied from 0.9 to 18.0/100 person-years. The meta-analysis revealed an infection rate of 4.2/100 person-years (95% CI 3.5-4.9) among patients receiving tumor necrosis factor inhibitors (heterogeneity 98.2%). The meta-analysis for the other 3 biologic agents revealed a point estimate of 5.5 to 8.7/100 person-years with high heterogeneity. Sensitivity analysis indicated that registry-based studies were less likely to have very low or very high infection rates compared with other data sources. The definition of infection, the patient composition of the cohorts, and the type of databases appeared to be the primary sources of clinical and methodological heterogeneity.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42020175137.

CONCLUSIONS

Due to high statistical heterogeneity, the meta-analysis was not suited to estimating a summary measure of the infection rate. Developing standardized data collection is necessary to compare infection rates across studies.

Use of a Novel Electronic Auto-Notification Process to Manage Transitions of Care in Patients With Rheumatic Disease Receiving Disease-Modifying Antirheumatic Drug Therapy

OBJECTIVE

To integrate an auto-notification system into clinical workflow, so timely communication of sentinel events (elective surgery, hospital admission, or emergency room [ER] visit) in immunosuppressed patients with rheumatic disease happened by design.

METHODS

We developed an algorithm that triggered auto-notification within the electronic medical record to rheumatology when a patient experienced a sentinel event. A telephone encounter was created that included event type, baseline therapy, and event date. This was forwarded to the rheumatologist, who recorded guideline-driven recommendations and returned it to nursing. Instructions were included to communicate recommendations to the patient, inpatient rheumatology team, or other clinician. This was studied over 4 months at a multispecialty medical practice in Central Pennsylvania. Primary outcomes were percentage of total notifications, notifications by sentinel event type where a change in care plan was recommended, as well as percentage of time where rheumatologists were notified of sentinel events compared to prior to the intervention. The secondary outcome was staff work effort.

RESULTS

Two hundred forty notifications were received (57% for elective surgeries, 39% for ER visits, and 4% for admissions). The need for change in care plan was only 17% for ER visits but was 25% for hospital admissions and 44% for elective surgeries. The percentage of time that rheumatologists were notified of events increased from 57.6% to 100%. The average number of messages received per week was 2.2, requiring a weekly average of 13 minutes of work per physician.

CONCLUSION

We developed an easy, well-received process that hardwires rheumatologist notification sentinel events to facilitate timely care.

Infections in patients with rheumatoid arthritis receiving tofacitinib versus tumour necrosis factor inhibitors: results from the open-label, randomised controlled ORAL Surveillance trial

OBJECTIVES

To characterise infections in patients with rheumatoid arthritis (RA) in ORAL Surveillance.

METHODS

In this open-label, randomised controlled trial, patients with RA aged≥50 years with ≥1 additional cardiovascular risk factor received tofacitinib 5 or 10 mg two times per day or a tumour necrosis factor inhibitor (TNFi). Incidence rates (IRs; patients with first events/100 patient-years) and hazard ratios (HRs) were calculated for infections, overall and by age (50-<65 years; ≥65 years). Probabilities of infections were obtained (Kaplan-Meier estimates). Cox modelling identified infection risk factors.

RESULTS

IRs/HRs for all infections, serious infection events (SIEs) and non-serious infections (NSIs) were higher with tofacitinib (10>5 mg two times per day) versus TNFi. For SIEs, HR (95% CI) for tofacitinib 5 and 10 mg two times per day versus TNFi, respectively, were 1.17 (0.92 to 1.50) and 1.48 (1.17 to 1.87). Increased IRs/HRs for all infections and SIEs with tofacitinib 10 mg two times per day versus TNFi were more pronounced in patients aged≥65 vs 50-<65 years. SIE probability increased from month 18 and before month 6 with tofacitinib 5 and 10 mg two times per day versus TNFi, respectively. NSI probability increased before month 6 with both tofacitinib doses versus TNFi. Across treatments, the most predictive risk factors for SIEs were increasing age, baseline opioid use, history of chronic lung disease and time-dependent oral corticosteroid use, and, for NSIs, female sex, history of chronic lung disease/infections, past smoking and time-dependent Disease Activity Score in 28 joints, C-reactive protein.

CONCLUSIONS

Infections were higher with tofacitinib versus TNFi. Findings may inform future treatment decisions.

TRIAL REGISTRATION NUMBER

NCT02092467.

Development and external validation of prediction models for adverse health outcomes in rheumatoid arthritis: A multinational real-world cohort analysis

BACKGROUND

Identification of rheumatoid arthritis (RA) patients at high risk of adverse health outcomes remains a major challenge. We aimed to develop and validate prediction models for a variety of adverse health outcomes in RA patients initiating first-line methotrexate (MTX) monotherapy.

METHODS

Data from 15 claims and electronic health record databases across 9 countries were used. Models were developed and internally validated on Optum® De-identified Clinformatics® Data Mart Database using L1-regularized logistic regression to estimate the risk of adverse health outcomes within 3 months (leukopenia, pancytopenia, infection), 2 years (myocardial infarction (MI) and stroke), and 5 years (cancers [colorectal, breast, uterine] after treatment initiation. Candidate predictors included demographic variables and past medical history. Models were externally validated on all other databases. Performance was assessed using the area under the receiver operator characteristic curve (AUC) and calibration plots.

FINDINGS

Models were developed and internally validated on 21,547 RA patients and externally validated on 131,928 RA patients. Models for serious infection (AUC: internal 0.74, external ranging from 0.62 to 0.83), MI (AUC: internal 0.76, external ranging from 0.56 to 0.82), and stroke (AUC: internal 0.77, external ranging from 0.63 to 0.95), showed good discrimination and adequate calibration. Models for the other outcomes showed modest internal discrimination (AUC < 0.65) and were not externally validated.

INTERPRETATION

We developed and validated prediction models for a variety of adverse health outcomes in RA patients initiating first-line MTX monotherapy. Final models for serious infection, MI, and stroke demonstrated good performance across multiple databases and can be studied for clinical use.

FUNDING

This activity under the European Health Data & Evidence Network (EHDEN) has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 806968. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA.

Safety and Effectiveness of Certolizumab Pegol in Japanese Patients with Rheumatoid Arthritis: Results from a 24-Week Post-Marketing Surveillance Study

OBJECTIVES

To report 24-week safety and effectiveness data of certolizumab pegol (CZP) in Japanese patients with rheumatoid arthritis (RA) from a post-marketing surveillance study.

METHODS

Enrolled patients were newly receiving CZP. All adverse events (AEs) and adverse drug reactions (ADRs) were recorded for patients who received ≥1 CZP dose. Effectiveness outcomes included: 28-joint Disease Activity Score with erythrocyte sedimentation rate (DAS28-ESR) and EULAR response. Missing data were imputed using last observation carried forward.

RESULTS

3,727 patients were enrolled; safety and effectiveness were evaluated in 3,586 and 1,794 patients, respectively. 24.9% of patients reported AEs (n=893/3,586) and 14.7% reported ADRs (528/3,586). Serious AEs and serious ADRs were reported in 8.3% (298/3,586) and 5.3% (190/3,586), respectively. Selected serious ADRs of interest included infections (n=110; 3.1%), tuberculosis (6; 0.2%), interstitial pneumonia (15; 0.4%), malignancy (8; 0.2%) and hepatic function disorder (7; 0.2%). No allergic reactions, autoimmune disease, cardiac failure, demyelinating diseases or pancytopenia were reported. Mean DAS28-ESR reduced from 4.8 (baseline) to 3.4 (final evaluation). At final evaluation, 34.7% of patients achieved EULAR good response.

CONCLUSIONS

These real-world safety and effectiveness results were consistent with previously reported data, with no new safety signals identified. Long-term, real-world CZP safety and effectiveness data are needed.

Shielding reduced incidence of COVID-19 in patients with inflammatory arthritis but vulnerability is associated with increased mortality

OBJECTIVES

Investigate whether individuals with inflammatory arthritis (IA), their treatments and shielding status affect the risk of adverse outcomes from COVID-19 for the entire population of Wales, UK.

METHODS

Retrospective, population-based cohort study using linked, anonymized electronic health data from SAIL Databank, including primary/secondary care, rheumatology, Office for National Statistics Mortality and COVID-19 laboratory data. Individuals aged 18 years and over testing positive for COVID-19 between March 2020 and May 2021 with READ Codes present for rheumatoid arthritis, psoriatic arthritis and ankylosing spondylitis formed the study cases.

RESULTS

A total of 1966 people with IA and 166 602 without tested positive for COVID-19. The incidence rate was 3.5% (1966/56 914) in IA, vs 6% in the general population (166 602/2 760 442), (difference: 2.5%, 95% CI: 2.4%, 2.7%, P ≤0.001). In an adjusted Cox proportional hazard model, IA was not associated with higher mortality (HR: 0.56, 95% CI: 0.18, 1.64, P=0.286). Significant risk factors included shielding (HR: 1.52, 95% CI: 1.40, 1.64, P ≤0.001), hospitalization for previous infections (HR: 1.20, 95% CI: 1.12, 1.28, P ≤0.001), hospitalizations one year pre-pandemic (HR: 1.34, 95% CI: 1.25, 1.44, P ≤0.001) and glucocorticoid use (HR: 1.17, 95% CI: 1.09, 1.25, P ≤0.001).

CONCLUSIONS

Individuals with IA had a lower incidence of COVID-19, probably due to shielding. IA was not associated with increased mortality following COVID-19 infection; being vulnerable (shielded), comorbidities and other factors were associated with increased risk. These key risk factors can identify individuals with IA at greater risk from COVID-19 and advised to shield during high community prevalence.

Risk of Severe Infection among Rheumatoid Arthritis Patients on Biological DMARDs: A Population-Based Cohort Study

Biological disease-modifying anti-rheumatic drugs (bDMARDs) are widely used for the management of rheumatoid arthritis, although their benefits are counterweight by an increased risk of infections. In the present study, we used administrative data to compare the risk of severe infections among different classes of bDMARDs. A retrospective cohort study was conducted using Administrative Health Databases of the Piedmont Region, Italy. Relevant data were obtained from: (1) the inhabitants registry, (2) hospital discharge records, and (3) the co-payment exemption registry and (4) drug claims registry. Fine and Gray competing risk models were fitted to evaluate the association between the use of different types of bDMARDs and occurrence of severe infection accounting for treatment interruption as competing risk. A total of 1780 new users of bDMARDs were identified. Among them, 50 hospitalizations for infection occurred during the study period. The use of Tocilizumab was associated with an increased risk of infection, compared to tumor necrosis factor (TNF) inhibitor drugs (sub-distribution hazard ratios-sHR: 2.510; 95% CI: 1.279–4.926), whereas no difference in the risk of severe infection was found for abatacept (sHR: 0.584; 95% CI: 0.234–1.457). bDMARDs treatment is generally safe in clinical practice with slight but important differences among classes. The increased risk of infection associated with tocilizumab use should be taken into account when balancing the risk and benefits of starting a treatment with this drug.

SARS-CoV-2 (COVID-19)-specific T cell and B cell responses in convalescent rheumatoid arthritis: Monozygotic twins pair case observation

Rheumatoid arthritis (RA) patients present higher risk of SARS-CoV-2 infection (COVID-19), and proper management of the disease in this population requires a better understanding of how the immune system controls the virus. We analyzed the T cell and B cell phenotypes, and their repertoire in a pair of monozygotic twins with RA mismatched for COVID-19 infection. Twin- was not infected, while Twin+ was infected and effectively controlled the infection. We found no significant changes on the αβ T cell composition, while γδ T cells and B cells presented considerable expansion of memory population in Twin+ and robust T/B cell responses to several SARS-CoV-2 peptides. T cell receptor β/γ-chain and immunoglobulin heavy chain next-generation sequencing depicted a remarkable higher diversity in Twin+ compared with Twin-, despite no significant changes being found in variable/joining family usage. Repertoire overlap analyses showed that, although being identical twins, very few clones were shared between them, indicating that COVID-19 may lead to deep changes on the immune cell repertoire in RA patients. Altogether, our results indicate that RA patients may develop robust and persistent COVID-19-specific T/B cell responses; γδ T cells and B cells may play a key role in the management of COVID-19 in RA, and the infection may lead to a profound reshaping of immune cell receptor specificities.

Response to Vaccines in Patients with Immune-Mediated Inflammatory Diseases: A Narrative Review

Patients with immune-mediated inflammatory diseases (IMIDs), such as rheumatoid arthritis and inflammatory bowel disease, are at increased risk of infection. International guidelines recommend vaccination to limit this risk of infection, although live attenuated vaccines are contraindicated once immunosuppressive therapy has begun. Biologic therapies used to treat IMIDs target the immune system to stop chronic pathogenic process but may also attenuate the protective immune response to vaccines. Here, we review the current knowledge regarding vaccine responses in IMID patients receiving treatment with biologic therapies, with a focus on the interleukin (IL)-12/23 inhibitors. B cell-depleting therapies, such as rituximab, strongly impair vaccines immunogenicity, and tumor necrosis factor (TNF) inhibitors and the cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4) fusion protein abatacept are also associated with attenuated antibody responses, which are further diminished in patients taking concomitant immunosuppressants. On the other hand, integrin, IL-6, IL-12/23, IL-17, and B-cell activating factor (BAFF) inhibitors do not appear to affect the immune response to several vaccines evaluated. Importantly, treatment with biologic therapies in IMID patients is not associated with an increased risk of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or developing severe disease. However, the efficacy of SARS-CoV-2 vaccines on IMID patients may be reduced compared with healthy individuals. The impact of biologic therapies on the response to SARS-CoV-2 vaccines seems to replicate what has been described for other vaccines. SARS-CoV-2 vaccination appears to be safe and well tolerated in IMID patients. Attenuated but, in general, still protective responses to SARS-CoV-2 vaccination in the context of certain therapies warrant current recommendations for a third primary dose in IMID patients treated with immunosuppressive drugs.

The risk of tuberculosis infection in 410 Saudipatients receiving adalimumab therapy

BACKGROUND

Adalimumab is a fully humanized monoclonal antibody inhibitor of tumor necrosis factor-a used to treat various autoimmune disorders. Adalimumab poses a risk for tuberculosis (TB) infection, especially in countries where TB is endemic.

OBJECTIVE

Determine the rate of TB infection after adalimumab therapy in Saudi Arabia.

DESIGN

Medical record review.

SETTINGS

Tertiary care center in Riyadh.

PATIENTS AND METHODS

Demographic and clinical data were retrieved from the electronic healthcare records of all patients who received adalimumab treatment from 2015 to 2019.

MAIN OUTCOME MEASURES

Occurrence of TB after adalimumab therapy.

SAMPLE SIZE

410 patients (median ([QR] age, 37 [28], range 4-81 years), 40% males RESULTS: Rheumatoid arthritis was the most frequent indication (n=153, 37%). The patients were followed for a mean of 36 (8.9) months. No case of TB infection or reactivation was observed. An inter-feron-gamma release assay (IGRA) was requested in 353/391 (90.3%) patients, prior to initiating therapy. The IGRA was positive in 26 cases (6.6%). The IGRA-positive patients received isoniazid prophylactically. Bacterial infectious complications of adalimumab therapy occurred in 12 (2.9%) patients. Urinary tract infection was the most frequent complication (culture requested in 48 patients, positive in 8).

CONCLUSION

Adalimumab treatment was not associated with a risk of TB disease or TB reactivation in our cohort over the follow-up observation period. No TB reactivation occurred with adalimumab therapy when TB prophylaxis was used. The positive IGRA rate in patients on adalimumab treatment was low (7%).

LIMITATIONS

Single center and one geographical area in Saudi Arabia.

CONFLICT OF INTEREST

None.

Severe infection risk in patients treated with biologics for rheumatoid arthritis: a systematic review protocol

OBJECTIVE

The objective of this review is to estimate the population-based incidence and to determine the types of severe infection experienced by patients with rheumatoid arthritis who are taking biological agents.

INTRODUCTION

Since the late 1990s, a variety of biological and synthetic drugs have been developed to treat rheumatoid arthritis. In recent years, the incidence of severe infection in patients with rheumatoid arthritis in Western nations has been reported by observational studies; however, no systematic review has been conducted on this topic.

INCLUSION CRITERIA

The following criteria will be considered for inclusion: i) observational studies on patients with rheumatoid arthritis who are taking biological agents; ii) studies reporting the number of severe infections requiring hospitalization for treatment; and iii) studies with person-years of observational data.

METHODS

MEDLINE, CINAHL, Embase, and Web of Science will be searched to identify published studies. The reference lists of all studies that are selected for critical appraisal will be screened for additional studies. The search for unpublished studies will include MedNar and OpenGrey. Only studies published in English from 1999 to the present will be included. Screening of studies, assessment of methodological quality, and data extraction will be performed by two independent reviewers. If possible, studies will be pooled in statistical meta-analysis.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42020175137.

Severe infections remain common in a real-world rheumatoid arthritis cohort: A simple clinical model to predict infection risk

OBJECTIVE

This study aimed to investigate the incidence of severe infections in patients of a dedicated rheumatoid arthritis (RA) clinic, identify the associated risk factors, and derive an infection risk screening tool.

METHODS

Between January and July 2019, 263 eligible patients with a diagnosis of RA were recruited retrospectively and consecutively from an RA clinic of an Australian tertiary hospital. The primary outcome was severe infection (requiring hospital admission) between January 2018 and July 2019. We collected data from medical records and pathology results. We used validated scores, such as the disease activity score of 28 joints (DAS28) and the Charlson comorbidity index, to assess the disease activity and comorbidity burden. Multivariable logistic regression was used for statistical analysis.

RESULTS

A total of 45 severe infection episodes occurred in 34 (13%) patients, corresponding to 10.8 infections per 100 patient-years. Respiratory (53%) and urinary (13%) tract infections were the most common. In the multivariable analysis, significant risk factors included low lymphocyte count (odds ratio [OR], 4.08; 95% confidence interval [CI], 1.16-14.29), severe infection in the past 3 years (OR, 3.58; 95% CI, 1.28-9.97), Charlson comorbidity index >2 (OR, 2.69; 95% CI, 1.03-7.00), and higher DAS28 (OR, 1.35/0.5-unit increment; 95% CI, 1.10-1.67). A model incorporating these factors and age had an area under receiver operating characteristic curve of 0.82.

CONCLUSION

To the best of our knowledge, this was one of the first Australian studies to evaluate severe infection rates in a real-world RA cohort. The rates remained high and comparable with those of the older studies. Lymphopenia, disease activity, comorbidity burden, and previous severe infection were the independent risk factors for infection. A model comprising easily assessable clinical and biological parameters has an excellent predictive potential for severe infection. Once validated, it may be developed into a screening tool to help clinicians rapidly identify the high-risk patients and inform the tailored clinical decision making.

Sublingual Bacterial Vaccination Reduces Recurrent Infections in Patients With Autoimmune Diseases Under Immunosuppressant Treatment

Introduction

Conventional or biologic disease-modifying anti-rheumatic drugs (DMARDs) are the mainstay of treatment for systemic autoimmune disease (SAD). Infectious complications are a major concern in their use.

Objective

To evaluate the clinical benefit of sublingual mucosal polybacterial vaccines (MV130 and MV140), used to prevent recurrent respiratory and urinary tract infections, in patients with SAD and secondary recurrent infections following conventional or biologic DMARDs.

Methods

An observational study in SAD patients with recurrent respiratory tract infections (RRTI) and/or recurrent urinary tract infections (RUTI) was carried out. All patients underwent mucosal (sublingual) vaccination with MV130 for RRTI or with MV140 for RUTI daily for 3 months. Clinical evaluation was assessed during 12 months of follow-up after the first dose, i.e., 3 months under treatment and 9 months once discontinued, and compared with the previous year.

Results

Forty-one out of 55 patients completed 1-year follow-up. All patients were on either conventional or biologic DMARDs. A significant decrease in the frequency of RUTI (p<0.001), lower respiratory tract infections (LRTI) (p=0.009) and upper respiratory tract infections (URTI) (p=0.006) at 12-mo with respect to the previous year was observed. Antibiotic prescriptions and unscheduled medical visits decreased significantly (p<0.020) in all groups. Hospitalization rate also declined in patients with RRTI (p=0.019). The clinical benefit demonstrated was concomitant to a significant increase in both anti-S. pneumoniae IgA and IgG antibodies following MV130 vaccination.

Conclusions

Sublingual polybacterial vaccines prevent recurrent infections in patients with SAD under treatment with immunosuppressant therapies, supporting a broad non-specific anti-infectious effect in these patients.

Incidence, risk factors and validation of the RABBIT score for serious infections in a cohort of 1557 patients with rheumatoid arthritis

OBJECTIVES

Predicting serious infections (SI) in patients with rheumatoid arthritis (RA) is crucial for the implementation of appropriate preventive measures. Here we aimed to identify risk factors for SI and to validate the RA Observation of Biologic Therapy (RABBIT) risk score in real-life settings.

METHODS

A multi-centre, prospective, RA cohort study in Greece. Demographics, disease characteristics, treatments and comorbidities were documented at first evaluation and one year later. The incidence of SI was recorded and compared with the expected SI rate using the RABBIT risk score.

RESULTS

A total of 1557 RA patients were included. During follow-up, 38 SI were recorded [incidence rate ratio (IRR): 2.3/100 patient-years]. Patients who developed SI had longer disease duration, higher HAQ at first evaluation and were more likely to have a history of previous SI, chronic lung disease, cardiovascular disease and chronic kidney disease. By multivariate analysis, longer disease duration (IRR: 1.05; 95% CI: 1.005, 1.1), history of previous SI (IRR: 4.15; 95% CI: 1.7, 10.1), diabetes (IRR: 2.55; 95% CI: 1.06, 6.14), chronic lung disease (IRR: 3.14; 95% CI: 1.35, 7.27) and daily prednisolone dose ≥10 mg (IRR: 4.77; 95% CI: 1.47, 15.5) were independent risk factors for SI. Using the RABBIT risk score in 1359 patients, the expected SI incidence rate was 1.71/100 patient-years, not different from the observed (1.91/100 patient-years; P = 0.97).

CONCLUSION

In this large real-life, prospective study of RA patients, the incidence of SI was 2.3/100 patient-years. Longer disease duration, history of previous SI, comorbidities and high glucocorticoid dose were independently associated with SI. The RABBIT score accurately predicted SI in our cohort.

Risk of COVID-19 in Rheumatoid Arthritis: A National Veterans Affairs Matched Cohort Study in At-Risk Individuals

BACKGROUND

While rheumatoid arthritis (RA) and its treatments are associated with an increased infection risk, it remains unclear whether these factors impact the risk or severity of COVID-19.

METHODS

We conducted a matched cohort study using national Veterans Affairs data. Among non-deceased individuals on January 1, 2020 who received VA care in 2019, we matched RA to non-RA patients (1:1) on age, sex, and VA site. COVID-19 and severe COVID-19 (hospitalization or death) were obtained from a national VA COVID-19 surveillance database through December 10, 2020. We used multivariable Cox models to compare the risk of COVID-19 and COVID-19 hospitalization or death after adjusting for demographics, comorbidities, health behaviors, and county level COVID-19 incidence rates.

RESULTS

RA and non-RA patients (n=33,886 each) were male predominant (84.5%) and had a mean age of 67.8 years. During follow-up, there were 1,503 COVID-19 diagnoses, 388 severe COVID-19 cases, and 228 non-COVID-19 related deaths. After multivariable adjustment, RA was associated with a higher risk of COVID-19 (hazard ratio [HR] 1.25 [95% confidence interval 1.13, 1.39]) and COVID-19 hospitalization or death (HR 1.35 [1.10, 1.66]). DMARDs and prednisone, but not RA autoantibody seropositivity, as well as black race, Hispanic ethnicity, and several chronic conditions were associated with COVID-19 and COVID-19 hospitalization or death.

CONCLUSIONS

Patients with RA are at higher risk for COVID-19 and COVID-19 hospitalization or death than non-RA. With a COVID-19 risk that approaches other recognized chronic conditions, these findings suggest RA patients should be prioritized for COVID-19 prevention and management.

Risikostratifizierung für Therapieentscheidungen bei Rheumatoider Arthritis

Um für die Behandlung der rheumatoiden Arthritis unter der Vielzahl an zugelassenen krankheitsmodifizierenden Antirheumatika die geeignete Therapie auszuwählen, werden Patienten anhand ihres Risikos für einen ungünstigen Krankheitsverlauf stratifiziert. Die Auswahl geeigneter Parameter zur Risikostratifizierung werden in dieser Übersichtsarbeit dargestellt. Beim heutigen Therapieziel einer Remission sind hohe Krankheitsaktivität, Funktionseinschränkungen, Begleiterkrankungen und Übergewicht relevante Faktoren für einen ungünstigen Verlauf. Weitere Einflussfaktoren auf die Therapieentscheidung wie Begleiterkrankungen, Infektionsrisiko und spezielle Risikokonstellationen wie vorausgegangene schwerwiegende Infektionen oder Malignome werden in diesem Artikel diskutiert.

Frequency of nasopharyngeal swab collection and positivity for SARS-CoV-2 infection in the population of the Italian province of Udine with and without chronic conditions

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This is a prevalence study in the Italian province of Udine.

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We study SARS-CoV-2 tests in persons with and without comorbidities.

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Patients with comorbidities are tested more than the others.

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Prevalence of positive test is not increased in patients with most chronic conditions.

Severity of SARS-CoV-2 infection is associated with comorbidities. However, no information is available on the frequency of nasopharyngeal swab collection and positivity depending on comorbidities. Using a cross-sectional design, we assessed the prevalence of SARS-CoV-2 tests and of positivity in the general population of the 530,000-inhabitant Italian province of Udine and in subgroups affected by chronic conditions in the first weeks of SARS-CoV-2 epidemic.

Anonymous health databases were used as source of information to identify persons with 14 chronic conditions. From laboratory records we assessed the likelihood of real‐time reverse‐transcriptase polymerase chain reaction for SARS-CoV-2 and the frequency of positivity from February 29 to April 19, 2020, i.e., 7 weeks from the first case detected in the study area. Sex and age-stratified proportions were calculated in comorbidity subgroups. Multivariate regression was used to adjust for confounders. In the province, 236,623 persons had ≥1 chronic condition; 869 had positive tests. Persons with comorbidities were tested more than the others. However, most chronic conditions were not significantly associated with the prevalence of positivity, except psychiatric and neurological diseases and diabetes. In conclusion, despite more frequent testing, patients with most chronic diseases where equally likely to be diagnosed with SARS-CoV-2 as the general population. Chronic patients should adhere to general recommendations for preventing SARS-CoV-2 infection, but ad hoc restrictions do not seem necessary.

Recommendations for the management of patients with systemic rheumatic diseases during the coronavirus disease pandemic

Patients with systemic rheumatic diseases (SRD) are vulnerable for coronavirus disease (COVID-19). The Korean College of Rheumatology recognized the urgent need to develop recommendations for rheumatologists and other physicians to manage patients with SRD during the COVID-19 pandemic. The working group was organized and was responsible for selecting key health questions, searching and reviewing the available literature, and formulating statements. The appropriateness of the statements was evaluated by voting panels using the modified Delphi method. Four general principles and thirteen individual recommendations were finalized through expert consensus based on the available evidence. The recommendations included preventive measures against COVID-19, medicinal treatment for stable or active SRD patients without COVID-19, medicinal treatment for SRD patients with COVID-19, and patient evaluation and monitoring. Medicinal treatments were categorized according to the status with respect to both COVID-19 and SRD. These recommendations should serve as a reference for individualized treatment for patients with SRD. As new evidence is emerging, an immediate update will be required.

Clinical evolution, management and outcomes of patients with COVID-19 admitted at Tygerberg Hospital, Cape Town, South Africa: a research protocol

INTRODUCTION

The outbreak of the SARS-CoV-2 virus causing COVID-19, declared a global pandemic by the WHO, is a novel infection with a high rate of morbidity and mortality. In South Africa, 55 421 cases have been confirmed as of 10 June 2020, with most cases in the Western Cape Province. Coronavirus leaves us in a position of uncertainty regarding the best clinical approach to successfully manage the expected high number of severely ill patients with COVID-19. This presents a unique opportunity to gather data to inform best practices in clinical approach and public health interventions to control COVID-19 locally. Furthermore, this pandemic challenges our resolve due to the high burden of HIV and tuberculosis (TB) in our country as data are scarce. This study endeavours to determine the clinical presentation, severity and prognosis of patients with COVID-19 admitted to our hospital.

METHODS AND ANALYSIS

The study will use multiple approaches taking into account the evolving nature of the COVID-19 pandemic. Prospective observational design to describe specific patterns of risk predictors of poor outcomes among patients with severe COVID-19 admitted to Tygerberg Hospital. Data will be collected from medical records of patients with severe COVID-19 admitted at Tygerberg Hospital. Using the Cox proportional hazards model, we will investigate the association between the survival time of patients with COVID-19 in relation to one or more of the predictor variables including HIV and TB.

ETHICS AND DISSEMINATION

The research team obtained ethical approval from the Health Research Ethics Committee of the Faculty of Medicine and Health Sciences, Stellenbosch University and Research Committee of the Tygerberg Hospital. All procedures for the ethical conduct of scientific investigation will be adhered to by the research team. The findings will be disseminated in clinical seminars, scientific forums and conferences targeting clinical care providers and policy-makers.

Outcomes in patients with severe COVID-19 disease treated with tocilizumab: a case-controlled study

BACKGROUND

COVID-19 is an ongoing threat to society. Patients who develop the most severe forms of the disease have high mortality. The interleukin-6 inhibitor tocilizumab has the potential to improve outcomes in these patients by preventing the development of cytokine release storm.

AIMS

To evaluate the outcomes of patients with severe COVID-19 disease treated with the interleukin-6 inhibitor tocilizumab.

METHODS

We conducted a retrospective, case-control, single-center study in patients with severe to critical COVID-19 disease treated with tocilizumab. Disease severity was defined based on the amount of oxygen supplementation required. The primary endpoint was the overall mortality. Secondary endpoints were mortality in non-intubated patients and mortality in intubated patients.

RESULTS

A total of 193 patients were included in the study. Ninety-six patients received tocilizumab, while 97 served as the control group. The mean age was 60 years. Patients over 65 years represented 43% of the population. More patients in the tocilizumab group reported fever, cough and shortness of breath (83%, 80% and 96% vs. 73%, 69% and 71%, respectively). There was a non-statistically significant lower mortality in the treatment group (52% vs. 62.1%, P = 0.09). When excluding intubated patients, there was statistically significant lower mortality in patients treated with tocilizumab (6% vs. 27%, P = 0.024). Bacteremia was more common in the control group (24% vs. 13%, P = 0.43), while fungemia was similar for both (3% vs. 4%, P = 0.72).

CONCLUSION

Our study showed a non-statistically significant lower mortality in patients with severe to critical COVID-19 disease who received tocilizumab. When intubated patients were excluded, the use of tocilizumab was associated with lower mortality.

[Periprosthetic and interprothetic fractures in patients with rheumatism : Characteristics of conservative and surgical treatment]

BACKGROUND

Periprosthetic fractures in patients with underlying rheumatic diseases can be a special challenge depending on the extent, bone quality and septic complications.

OBJECTIVES

Does the underlying rheumatic disease influence the treatment strategy for periprosthetic fractures? What effect do the many extra-articular and local joint-specific rheumatic involvement patterns have on the surgical strategy? How should the potential immunosuppressive side effects of continuously new biologicals be perioperatively taken into account? How can less conspicuous infections under immunosuppression be recognized clinically and using laboratory parameters?

MATERIAL AND METHODS

Rheumatic disease manifestations that must be perioperatively considered are presented based on the literature. The results are supplemented by many years of experience in a hospital with more than 1500 operations on patients with an underlying rheumatic disease.

RESULTS

The treatment of periprosthetic fractures with underlying rheumatic diseases necessitates the specific consideration of the multiple accompanying conditions. In general, extra-articular manifestations, average younger age, increased susceptibility to infections, multiple joint involvement and the basic medication must be taken into consideration. The local poorer bone quality can require an adaptation of the surgical technique. These factors are summarized in a treatment algorithm for periprosthetic fractures in patients with rheumatism taking the stability of the prosthesis, the infection status, the etiology, the localization and extent of the fracture into consideration.

COVID-19 and Rheumatic Diseases: Practical Issues

On March 12, 2020, the World Health Organization (WHO) declared coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) a pandemic. The rapidly increasing number of cases and deaths have overwhelmed the health care system worldwide. We aimed to provide a narrative review on some practical issues of COVID-19 and rheumatic diseases with the limited data to the date of April 26, 2020.

Impact of tapering targeted therapies (bDMARDs or JAKis) on the risk of serious infections and adverse events of special interest in patients with rheumatoid arthritis or spondyloarthritis: a systematic analysis of the literature and meta-analysis

OBJECTIVES

To systematically review the impact of tapering targeted therapies (bDMARDs or JAKis) on the risk of serious infections and severe adverse events (SAEs) in patients with rheumatoid arthritis (RA) or axial spondyloarthritis (axSpA) in remission or low disease activity (LDA) state.

MATERIALS AND METHODS

A meta-analysis based on a systematic review of PubMed, Embase, Cochrane, until August 2019, as well as relevant databases of international conferences, was used to evaluate the risk difference (RD) at 95% confidence interval (95% CI) of incidence density of serious infections, SAEs, malignancies, cardiovascular adverse events (CV AEs), or deaths after tapering (dose reduction or spacing) compared to continuation of targeted therapies.

RESULTS

Of the 1957 studies initially identified, 13 controlled trials (9 RA and 4 SpA trials) were included in the meta-analysis. 1174 patient-years were studied in the tapering group (TG) versus 1086 in the usual care group (UC). There were 1.7/100 patient-year (p-y) serious infections in TG versus 2.6/100 p-y in UC (RD (95% CI) 0.01 (0.00 to 0.02), p = 0.13) and 7.4/100 p-y SAEs in TG versus 6.7/100 p-y in UC (RD 0.00 (- 0.02 to 0.02), p = 0.82). The risk of malignancies, CV AEs, or deaths did not differ between the tapering and the usual care groups. Subgroup analysis (RA and SpA) detected no significant differences between the two groups.

CONCLUSION

We could not show significant impact of tapering bDMARD or JAKi over continuation concerning the risk of serious infections, SAEs, malignancies, CV AEs, or deaths in RA and SpA patients in remission or LDA state.

Recommendations for coronavirus infection in rheumatic diseases treated with biologic therapy

The Coronavirus-associated disease, that was first identified in 2019 in China (CoViD-19), is a pandemic caused by a bat-derived beta-coronavirus, named SARS-CoV2. It shares homology with SARS and MERS-CoV, responsible for past outbreaks in China and in Middle East. SARS-CoV2 spread from China where the first infections were described in December 2019 and is responsible for the respiratory symptoms that can lead to acute respiratory distress syndrome. A cytokine storm has been shown in patients who develop fatal complications, as observed in past coronavirus infections. The management includes ventilatory support and broad-spectrum antiviral drugs, empirically utilized, as a targeted therapy and vaccines have not been developed. Based upon our limited knowledge on the pathogenesis of CoViD-19, a potential role of some anti-rheumatic drugs may be hypothesized, acting as direct antivirals or targeting host immune response. Antimalarial drugs, commonly used in rheumatology, may alter the lysosomal proteases that mediates the viral entry into the cell and have demonstrated efficacy in improving the infection. Anti-IL-1 and anti-IL-6 may interfere with the cytokine storm in severe cases and use of tocilizumab has shown good outcomes in a small cohort. Baricitinib has both antiviral and anti-inflammatory properties. Checkpoints inhibitors such as anti-CD200 and anti-PD1 could have a role in the treatment of CoViD-19. Rheumatic disease patients taking immunosuppressive drugs should be recommended to maintain the chronic therapy, prevent infection by avoiding social contacts and pausing immunosuppressants in case of infection. National and international registries are being created to collect data on rheumatic patients with CoViD-19.

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CoViD-19 is a pandemic caused by SARS-CoV2, that can lead to acute respiratory distress syndrome.

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Antimalarial drugs, anti-IL-1 and anti-IL-6 may be used in severe cases targeting the cytokine storm induced by CoViD-19.

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Recommendations for rheumatic disease patients include the prevention of infection by avoiding social contacts.

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Patients should also continue their ongoing therapy except in the case of overt infection.

EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2019 update

OBJECTIVES

To provide an update of the European League Against Rheumatism (EULAR) rheumatoid arthritis (RA) management recommendations to account for the most recent developments in the field.

METHODS

An international task force considered new evidence supporting or contradicting previous recommendations and novel therapies and strategic insights based on two systematic literature searches on efficacy and safety of disease-modifying antirheumatic drugs (DMARDs) since the last update (2016) until 2019. A predefined voting process was applied, current levels of evidence and strengths of recommendation were assigned and participants ultimately voted independently on their level of agreement with each of the items.

RESULTS

The task force agreed on 5 overarching principles and 12 recommendations concerning use of conventional synthetic (cs) DMARDs (methotrexate (MTX), leflunomide, sulfasalazine); glucocorticoids (GCs); biological (b) DMARDs (tumour necrosis factor inhibitors (adalimumab, certolizumab pegol, etanercept, golimumab, infliximab), abatacept, rituximab, tocilizumab, sarilumab and biosimilar (bs) DMARDs) and targeted synthetic (ts) DMARDs (the Janus kinase (JAK) inhibitors tofacitinib, baricitinib, filgotinib, upadacitinib). Guidance on monotherapy, combination therapy, treatment strategies (treat-to-target) and tapering on sustained clinical remission is provided. Cost and sequencing of b/tsDMARDs are addressed. Initially, MTX plus GCs and upon insufficient response to this therapy within 3 to 6 months, stratification according to risk factors is recommended. With poor prognostic factors (presence of autoantibodies, high disease activity, early erosions or failure of two csDMARDs), any bDMARD or JAK inhibitor should be added to the csDMARD. If this fails, any other bDMARD (from another or the same class) or tsDMARD is recommended. On sustained remission, DMARDs may be tapered, but not be stopped. Levels of evidence and levels of agreement were mostly high.

CONCLUSIONS

These updated EULAR recommendations provide consensus on the management of RA with respect to benefit, safety, preferences and cost.

Phase I/II parallel double-blind randomized controlled clinical trial of perispinal etanercept for chronic stroke: improved mobility and pain alleviation

Background: Previous open-label studies showed that chronic post-stroke pain could be abated by treatment with perispinal etanercept, although these benefits were questioned. A randomized double-blind placebo controlled clinical trial was conducted to test perispinal etanercept for chronic post-stroke pain.Research design and methods: Participants received two treatments, either perispinal etanercept (active) or saline (control). Primary outcomes were the differences in daily pain levels between groups analyzed by SPSS.Results: On the 0-100 points visual analog scale, perispinal etanercept reduced mean levels for worst and average daily pain from baseline after two treatments by 19.5 - 24 points (p < 0.05), and pain alleviation was maintained in the etanercept group, with no significant change in the control group. Thirty percent of etanercept participants had near complete pain abatement after first treatment. Goniometry of the paretic arm showed improved mean shoulder rotation by 55 degrees in active forward flexion for the etanercept group (p = 0.003) only.Conclusions: Perispinal etanercept can provide significant and ongoing benefits for the chronic post-stroke management of pain and greater shoulder flexion by the paretic arm. Effects are rapid and highly significant, supporting direct action on brain function.Trial registration: ACTRN12615001377527 and Universal Trial Number U1111-1174-3242.