Factors that influence biological survival in rheumatoid arthritis: results of a real-world academic cohort from the Netherlands

Rheumatoid factor titers, but not Fc fragments, may be strongly associated with drug survival of anti-TNF agents in patients with rheumatoid arthritis

OBJECTIVE

To investigate the effects of both the Fc fragment in tumor necrosis factor (TNF) inhibitors and rheumatoid factor (RF) titers on treatment survival, disease activity, and laboratory parameters in patients with rheumatoid arthritis (RA).

METHODS

In this retrospective cohort study, patients with RA who had started any anti-TNF therapy between January 2017 and March 2020 and who had stayed on this treatment for at least six months were included. The data of the patients were compared separately according to continuation or discontinuation of treatment and the presence or absence of Fc portion in the structure of anti-TNFs. Patients who were taking certolizumab pegol (CZP) without the Fc fragment were placed in the "without Fc group" (wo/Fc), while patients who were taking other drugs (adalimumab, etanercept, golimumab, and infliximab) were placed in the "with Fc group" (w/Fc).

RESULTS

Among the 221 RA patients whose data were available, 52 patients met the inclusion criteria and were included in the study. There was a significant difference in the DAS28-CRP score between wo/Fc group and w/Fc group in the third month of treatment (p=0.012). However, this difference did not persist at the sixth month of treatment (p=0.384). According to the cox-regression results, RF titers were determined to have a significant impact on the drug survival of anti-TNF agents when adjustments were made for the effects of other candidate predictors (Hazard ratio: 1.007 (1.002-1.012), p=0.009).

CONCLUSION

Our results suggest that compared to the Fc fragment, RF titers were the more important risk factor in survival of anti-TNF drugs.

The impact of COVID-19 and other factors on the usage status of the biologic drug therapies for rheumatoid arthritis: A study from Vietnam

OBJECTIVES

To describe the status of using biological Disease Modifying Anti Rheumatic Drugs (bDMARDs) to treat rheumatoid arthritis (RA) and related factors. In addition, the study determined the impact of COVID-19 on the usage of bDMARDs.

METHODS

This is a cross-sectional study and included 219 RA patients over 18 years old. The Kaplan-Meier method and the log-rank test (p<0.05) were used to estimate the retention time and compare between different times. Cox regression analysis was used to determine the factors affecting the retention time of biological drugs (p<0.05).

RESULTS

Out of 1967 courses of treatment, there were 149 (7.6%) drug discontinuations, 760 (38.6%) doses extensions and 64 (3.3%) drug switch. Moderate disease level and choosing tumor necrosis factor (TNF) inhibitors initially were associated with retention time of COVID-19. Drug discontinuations and dose extensions increased after COVID-19 emergence. The retention time during COVID-19 was significantly different from that of pre-COVID-19. Gender, type of first-used bDMARD, conventional synthetic DMARDs (csDMARDs) and corticoid usage status, disease activity levels were associated with retention time.

CONCLUSION

The presence of COVID-19 has a significant effect on usage status of the biologic drug. Further longitudinal studies are needed to clarify the relationship between COVID-19 and drug usage as well as related factors.

Age, Sex, Metabolic and Pharmacologic Factors May Predict Nonresponse Status to Rheumatoid Arthritis Therapies

BACKGROUND/AIM

A real challenge for patients with rheumatoid arthritis (RA) and rheumatologists is primary nonresponse status (PNRS) or secondary nonresponse status (SNRS) to various therapies. Despite their detrimental influence on patient life quality, PNRS and SNRS have no accurate definition and no early predictive criteria for their development exist. Patients with RA under 40 years of age are rare, hence PNRS and SNRS data for this age group are scarce. This study examined the PNRS and SNRS according to sex, age, BMI, therapy type, and duration.

PATIENTS AND METHODS

Retrospectively, 115 patients with RA having PNRS and/or SNRS were stratified by age (22-39, 40-59, and 60-81). The association between body mass index (BMI), proinflammatory cytokines inhibitors, JAK inhibitors, and TNF-alpha inhibitors, sex, age, and PNRS and SNRS was examined.

RESULTS

All three proinflammatory cytokine inhibitors (rituximab, tocilizumab, and abatacept) were associated with PNRS and SNRS in women with a high BMI aged 40-59 years. Abatacept-related PNRS and SNRS was significant in women with normal BMI aged 60-81 years. Adalimumab, infliximab, and golimumab affected SNRS differently in women with normal BMI aged 22-39 years and women with high BMI aged 60-81 years. Etanercept and infliximab were associated with SNRS status in men with high-BMI aged 40-59 years.

CONCLUSION

PNRS and SNRS development in patients with RA is significantly influenced by age, sex, and BMI, but most importantly is closely and differentially related to therapy type and duration.

Drug-survival profiling of second-line biologic therapy in rheumatoid arthritis: Choice of another tumour necrosis factor inhibitor or a biologic of different mode of action?

OBJECTIVES

To assess the best choice of second-line therapy between tumour necrosis factor-inhibitor (TNFi) and biologics of different-mode-of-action (BDMA-rituximab/tocilizumab/abatacept) in rheumatoid arthritis (RA) by evaluating drug-survival following discontinuation of the first-line TNFi.

METHODS

This retrospective drug-survival study was performed across two different hospitals by conventional-statistics and machine-learning approach.

RESULTS

From a total of 435 patients, 213 (48.9%; TNFi = 122, BDMA = 91) discontinued their second-line biologic {median drug-survival: TNFi, 27 months [95% confidence interval (95%CI) 22-32] vs BDMA, 37 months (95%CI 32-52)}. As a second-line biologic, BDMA was likely to reduce the risk of treatment-discontinuation [hazard-ratio (HR) 0.63, 95%CI 0.48-0.83] compared to TNFi, but only in seropositive-patients (HR 0.52, 95%CI 0.38-0.73), not in seronegative-RA. Drug-survival benefit of BDMA over TNFi was not observed if the seropositive-patients were previously exposed to monoclonal-TNFi (HR 0.77, 95%CI 0.49-1.22) versus soluble-TNFi (etanercept/biosimilars) or if the first-line TNFi was terminated within 23.9 months of initiation (HR 0.97, 95%CI 0.56-1.68).

CONCLUSIONS

BDMA, as a second-line biologic, is more likely to be sustained in seropositive-patients, particularly without prior exposure to monoclonal-TNFi. The drug-survival benefit of BDMA was not observed in seronegative-patients or if the first-line TNFi was stopped within 2 years.

Early At-Home Measurement of Adalimumab Concentrations to Guide Anti-TNF Precision Dosing: A Pilot Study

BACKGROUND AND OBJECTIVE

Underdosing of adalimumab can result in non-response and poor disease control in patients with rheumatic disease or inflammatory bowel disease. In this pilot study we aimed to predict adalimumab concentrations with population pharmacokinetic model-based Bayesian forecasting early in therapy.

METHODS

Adalimumab pharmacokinetic models were identified with a literature search. A fit-for-purpose evaluation of the model was performed for rheumatologic and inflammatory bowel disease (IBD) patients with adalimumab peak (first dose) and trough samples (first and seventh dose) obtained by a volumetric absorptive microsampling technique. Steady state adalimumab concentrations were predicted after the first adalimumab administration. Predictive performance was calculated with mean prediction error (MPE) and normalised root mean square error (RMSE).

RESULTS

Thirty-six patients (22 rheumatologic and 14 IBD) were analysed in our study. After stratification for absence of anti-adalimumab antibodies, the calculated MPE was -2.6% and normalised RMSE 24.0%. Concordance between predicted and measured adalimumab serum concentrations falling within or outside the therapeutic window was 75%. Three patients (8.3%) developed detectable concentrations of anti-adalimumab antibodies.

CONCLUSION

This prospective study demonstrates that adalimumab concentrations at steady state can be predicted from early samples during the induction phase.

CLINICAL TRIAL REGISTRATION

The trial was registered in the Netherlands Trial Register with trial registry number NTR 7692 ( www.trialregister.nl ).

Discontinuation of biologic therapy in patients with rheumatoid arthritis and ankylosing spondylitis: analysis from multicenter cohort study

Despite of the availability of several effective bDMARDs, a significant proportion of rheumatoid arthritis (RA) and ankylosing spondylitis (AS) patients discontinued bDMARDs. The aims of this study were to analyze causes of bDMARDs discontinuation in RA and AS included in the Moroccan registry RBSMR. A historical prospective multicenter cohort study based on the RBSMR database at 12 months of follow-up, which included 225 RA and 170 AS. Using T student, Mann-Whitney U, chi-squared or Fischer exact tests, baseline demographic and clinical features were compared between patients discontinuing bDMARDs and patients remaining on initiated bDMARDs or switching bDMARDs. Logistic regression models were used to identify factors associated with drugs discontinuation. 61 RA discontinued bDMARDs and 47 AS interrupted anti-TNF. The most common reasons for drugs discontinuation were adverse events (7.5%) in RA patients and social security reimbursement problems (16.8%) in AS. RA patients discontinuing bDMARDs were more frequently first-line biological drugs users, more frequently female and had more comorbidities and lower DAS28 CRP than RA patients remaining on initiated bDMARDs or switching bDMARDs (p < 0.001, p = 0.01, p < 0.001 and p < 0.001 respectively). Female sex and comorbidities were the significant predictors of bDMARDs discontinuation in RA patients. Higher baseline BASDAI had a protective role on anti-TNF interruption in AS patients. Adverse events and social security reimbursement problems were the main reasons for drugs discontinuation in RA and AS patients respectively. Female sex and comorbidities in RA patients, baseline BASDAI in AS patients impacted bDMARDs discontinuation in real-life settings.

Clinical outcomes and prognostic factors of bronchiectasis rheumatoid overlap syndrome: A multi-institution cohort study

The information regarding bronchiectasis with RA (BROS) is limited in Asia. The objective of this study was to investigate the clinical characteristics and outcomes of BROS in Taiwan. This multi-institute cohort study included patients with BROS from January 2006 to December 2017. The clinical, functional and microbiological data of these patients were retrieved from the Chang Gung Research Database. Respiratory failure and mortality were the primary outcomes. Severe exacerbation was defined as bronchiectasis- related hospitalizations or emergency department visits. A total of 343 patients with BROS were identified. One hundred and eight patients had severe exacerbation and exhibited significantly more previous exacerbations, a lower FEV1 and higher BACI score (11.1 vs. 7.5) than patients without severe exacerbation. The most prevalent species in sputum were Non-tuberculous mycobacteria (NTM) (14.8 %), Pseudomonas aeruginosa (14.2 %), and fungus (5.9%). 68.8% of BROS patients used disease modifying antirheumatic drugs (DMARD), 7.9% used biological DMARD. NTM and tuberculosis infection rates were higher in bDMARD group compared with nbDMARD group and others. Overall, the 3-year respiratory failure rate and mortality rate were 14.6 and 25.7% respectively. Patients with RA diagnosed before bronchiectasis had a significantly higher cumulative incidence of mortality in a 3-year follow-up than those with RA diagnosed after bronchiectasis. In Cox regression, age, higher RF value and systemic steroid use were independent risk factors for mortality in BROS. BROS patients with severe exacerbation had a high mortality rate in Taiwan. bDMARD is associated with a trend of increased risk of NTM and TB infections.

Biological and Methotrexate Survival after Pregnancy in Patients With a Rheumatic Disease

Objective: Patients with a rheumatic disease who discontinue their disease-modifying anti-rheumatic drug (DMARD) due to pregnancy often wonder if treatment will be as effective after pregnancy. This study investigates the effect of a temporary discontinuation of DMARDs due to pregnancy on the effectiveness of the same DMARD postpartum in patients with a rheumatic disease.

Methods: Pregnant, rheumatic patients were derived from the Preconceptional Counseling in Active Rheumatoid Arthritis (PreCARA) cohort. DMARD-survival after pregnancy, for biological and methotrexate (MTX) therapy, was analyzed and compared to controls with stable DMARD-treatment from a retrospective cohort.

Results: In total, 234 patients were included, of whom 114 patients had stable biological or MTX treatment before their pregnancy. After pregnancy, 40 out of 56 (71%) patients restarted their biological, for MTX this was 49%. One year after restart, and censoring for a following pregnancy, 88.9% of patients were still using their biological, and 85% still used their MTX (p = 0.92). Compared to the matched controls the survival after pregnancy was significantly lower 1 year after restart for both biologicals (98.3%) and MTX (99.6%); p = 0.002 and p < 0.001 respectively; 3 years after restart this significant difference was no longer observed (p = 0.50 and p = 0.33, respectively).

Conclusion: Effective DMARD (biological or MTX) treatment before pregnancy that was discontinued due to pregnancy seems effective after pregnancy. Although DMARD-survival was higher in the control group 1 year after restart, the percentage of patients with effective treatment was still very good (>85%). In addition, this difference was no longer observed after 3 years.

Possibilities for personalised medicine in rheumatoid arthritis: hype or hope

Knowledge of pathophysiology of rheumatoid arthritis (RA) has improved over the past decades, which resulted in new treatment options and strategies that led to better clinical outcomes. At the same time, we have come to understand that RA is a heterogeneous disease on a clinical as well as a pathophysiological level. Despite this heterogeneity, current management recommendations still adopt a ‘one-size-fits-all’ treatment approach, where ideally individualised treatment, or personalised medicine, is preferred. The first step towards personalised medicine in RA would be to designate different treatment strategies to distinct clinical or molecular phenotypes of patients. This viewpoint discusses current evidence and elaborates on future possibilities for personalised medicine in RA.