Adalimumab versus adalimumab and methotrexate for the treatment of juvenile idiopathic arthritis: long-term data from the German BIKER registry

Prospective study to characterize adalimumab exposure in pediatric patients with rheumatic diseases

BACKGROUND

In pediatric rheumatic diseases (PRD), adalimumab is dosed using fixed weight-based bands irrespective of methotrexate co-treatment, disease activity (DA) or other factors that might influence adalimumab pharmacokinetics (PK). In rheumatoid arthritis (RA) adalimumab exposure between 2-8 mg/L is associated with clinical response. PRD data on adalimumab is scarce. Therefore, this study aimed to analyze adalimumab PK and its variability in PRD treated with/without methotrexate.

METHODS

A two-center prospective study in PRD patients aged 2-18 years treated with adalimumab and methotrexate (GA-M) or adalimumab alone (GA) for ≥ 12 weeks was performed. Adalimumab concentrations were collected 1-9 (maximum concentration; Cmax), and 10-14 days (minimum concentration; Cmin) during ≥ 12 weeks following adalimumab start. Concentrations were analyzed with enzyme-linked immunosorbent assay (lower limit of quantification: 0.5 mg/L). Log-normalized Cmin were compared between GA-M and GA using a standard t-test.

RESULTS

Twenty-eight patients (14 per group), diagnosed with juvenile idiopathic arthritis (71.4%), non-infectious uveitis (25%) or chronic recurrent multifocal osteomyelitis (3.6%) completed the study. GA-M included more females (71.4%; GA 35.7%, p = 0.13). At first study visit, children in GA-M had a slightly longer exposure to adalimumab (17.8 months [IQR 9.6, 21.6]) compared to GA (15.8 months [IQR 8.5, 30.8], p = 0.8). Adalimumab dosing was similar between both groups (median dose 40 mg every 14 days) and observed DA was low. Children in GA-M had a 27% higher median overall exposure compared to GA, although median Cmin adalimumab values were statistically not different (p = 0.3). Cmin values ≥ 8 mg/L (upper limit RA) were more frequently observed in GA-M versus GA (79% versus 64%). Overall, a wide range of Cmin values was observed in PRD (0.5 to 26 mg/L).

CONCLUSION

This study revealed a high heterogeneity in adalimumab exposure in PRD. Adalimumab exposure tended to be higher with methotrexate co-treatment compared to adalimumab monotherapy although differences were not statistically significant. Most children showed adalimumab exposure exceeding those reported for RA with clinical response, particularly with methotrexate co-treatment. This highlights the need of further investigations to establish model-based personalized treatment strategies in PRD to avoid under- and overexposure.

TRIAL REGISTRATION

NCT04042792 , registered 02.08.2019.

Perspectives of Therapeutic Drug Monitoring of Biological Agents in Non-Infectious Uveitis Treatment: A Review

Biological drugs, especially those targeting anti-tumour necrosis factor α (TNFα) molecule, have revolutionized the treatment of patients with non-infectious uveitis (NIU), a sight-threatening condition characterized by ocular inflammation that can lead to severe vision threatening and blindness. Adalimumab (ADA) and infliximab (IFX), the most widely used anti-TNFα drugs, have led to greater clinical benefits, but a significant fraction of patients with NIU do not respond to these drugs. The therapeutic outcome is closely related to systemic drug levels, which are influenced by several factors such as immunogenicity, concomitant treatment with immunomodulators, and genetic factors. Therapeutic drug monitoring (TDM) of drug and anti-drug antibody (ADAbs) levels is emerging as a resource to optimise biologic therapy by personalising treatment to bring and maintain drug concentration within the therapeutic range, especially in those patients where a clinical response is less than expected. Furthermore, some studies have described different genetic polymorphisms that may act as predictors of response to treatment with anti-TNFα agents in immune-mediated diseases and could be useful in personalising biologic treatment selection. This review is a compilation of the published evidence in NIU and in other immune-mediated diseases that support the usefulness of TDM and pharmacogenetics as a tool to guide clinicians’ treatment decisions leading to better clinical outcomes. In addition, findings from preclinical and clinical studies, assessing the safety and efficacy of intravitreal administration of anti-TNFα agents in NIU are discussed.

Probability of Response in the First Sixteen Weeks After Starting Biologics: An Analysis of Juvenile Idiopathic Arthritis Biologics Trials

OBJECTIVES

Most juvenile idiopathic arthritis (JIA) biologic disease-modifying antirheumatic drugs (bDMARDs) trials used an open-label run-in period followed by randomized medication withdrawal. We used data from the run-in period of 4 bDMARD trials to 1) delineate early response trajectory to bDMARDs and 2) identify predictors of early response.

METHODS

Data from the first 16 weeks of 4 bDMARD trials were used. The primary outcome was the American College of Rheumatology (ACR) Pediatric 50 (Pedi 50) response criteria: clinically significant response defined as ACR Pedi 50 or greater. The secondary outcome was the clinical Juvenile Arthritis Disease Activity Score in 10 joints (cJADAS10) minimal disease activity state. Response transition rates and predictors were modeled using an inhomogeneous Markov multistate model.

RESULTS

Five hundred thirty-two participants (70% receiving methotrexate, 41% prednisone) were included. By month 4, the probability of attaining ACR Pedi 50 or greater was 0.698. If ACR Pedi 50 or more was not achieved by month 1, the probability of achieving it by month 4 was 0.60. If ACR Pedi 50 or more was not achieved by month 3, the probability of achieving this by month 4 was 0.31. Age at diagnosis, disease duration, baseline rheumatoid factor, and active joint counts predicted ACR and cJADAS state transitions, adjusted for concomitant treatment.

CONCLUSIONS

No response ACR Pedi 50 or more by month 1 after treatment was associated with a 0.60 probability of responding by month 4, but not responding by month 3 was associated with a 0.31 probability of response by month 4. Baseline disease duration, rheumatoid factor, and active joint counts predicted early treatment response (ACR and cJADAS10 states).

Safety updates in novel therapeutics for pediatric rheumatic disease

PURPOSE OF REVIEW

Biologics and novel targeted therapeutics have transformed the management of pediatric rheumatic diseases over the past two decades; however, questions about short-term and long-term safety remain. Safety data gathered from recent clinical trials, long-term extensions of prior trials, registries, and other real-world evidence are summarized here for biologics and novel therapeutics commonly prescribed for pediatric rheumatic diseases.

RECENT FINDINGS

With nearly 20 years of therapeutic experience, tumor necrosis inhibitors (TNFi) are generally well tolerated, although infections, malignancy, and development of new autoimmunity remain a concern. Risk of infections may be higher in IL-1 and IL-6 inhibitors, and lower in abatacept, compared with TNFi. Safety data for B-cell-targeted therapeutics and janus kinase inhibitors are emerging, but remain limited, especially in children.

SUMMARY

Biologic and novel targeted therapeutics offer a promising future for children with pediatric rheumatic disease. However, long-term safety data in children remain limited for several agents. With any therapeutic option, both short-term and long-term safety concerns must be weighed against individual clinical needs when choosing the optimal treatment for each child.

Recent progress in the treatment of non-systemic juvenile idiopathic arthritis

Juvenile idiopathic arthritis (JIA) is a chronic inflammatory disease affecting the joints and other organs that occurs in 1 in 1,000 children in the United States. Given the various categories of JIA, interpretation of the literature can be difficult. In this review, new developments in understanding non-systemic JIA and its treatment will be covered. Recent advances in the journey toward personalized treatment in JIA will be highlighted, including a review of currently available biologic modifiers. Uveitis and the temporomandibular joint will be discussed as particularly challenging treatment issues. Recent guideline updates and literature-guided treatment decisions will be reviewed.

Comparative risk of infections among real-world users of biologics for juvenile idiopathic arthritis: data from the German BIKER registry

To examine whether treatment with interleukin (IL)-1-, IL-6-, tumour necrosis factor α (TNFα)-inhibitors or Abatacept is associated with an increased risk of common infections, infections requiring hospitalization (SAE) or opportunistic infections among real-world juvenile idiopathic arthritis (JIA) patients. Furthermore, the influence of other patient-related covariates on the occurrence of infections was investigated. Patients diagnosed with JIA and treated with biologics were selected from the German BIKER registry. Incidence rates (IR) of infections per 100 person years were calculated and compared between the different cohorts. Using multivariate logistic regression, odds ratios with 95% confidence intervals (CI) were determined for the influence of patient-related covariates (age, diagnosis, laboratory data, concomitant medication, JIA activity, comorbidities, and premedication) on the occurrence of infections. 3258 patients entered the analysis. A total of 3654 treatment episodes were distributed among TNFα- (Etanercept, Adalimumab, Golimumab, Infliximab, n = 3044), IL-1- (Anakinra, Canakinumab, n = 105), IL-6- (Tocilizumab, n = 400) and T-cell activation inhibitors (Abatacept, n = 105). 813 (22.2%) patients had at least one infection, 103 (2.8%) patients suffered from an SAE infection. Both common and SAE infections were significantly more frequent in IL-1 (IR 17.3, 95% CI 12.5/24 and IR 4.3, 95% CI 2.3/8.3) and IL-6 cohort (IR 16.7, 95% CI 13.9/20 and IR 2.8, 95% CI 1.8/4.4) compared to TNFα-inhibitor cohort (IR 8.7, 95% CI 8.1/9.4 and IR 1, 95% CI 0.8/1.3). When comparing the influencing factors for various infectious diseases, the use of corticosteroids, younger age, cardiac comorbidities and higher JIA-activity are the most striking risk factors. Relative to TNFα inhibitors and Abatacept, IL-1 and IL-6 inhibitors were associated with an increased risk of common and SAE infections. The influencing covariates identified may be helpful for the choice of a suitable biologic to treat JIA.

Intrauterine Exposure to Biologics in Inflammatory Autoimmune Diseases: A Systematic Review

BACKGROUND

Inflammatory autoimmune diseases are chronic diseases that often affect women of childbearing age. Therefore, detailed knowledge of the safety profile of medications used for management of inflammatory autoimmune diseases during pregnancy is important. However, in many cases the potential harmful effects of medications (especially biologics) during pregnancy (and lactation) on mother and child have not been fully identified.

OBJECTIVE

Our aim was to update the data on the occurrence of miscarriages and (major) congenital malformations when using biologics during pregnancy based on newly published articles. Additionally, we selected several different secondary outcomes that may be of interest for clinicians, especially information on adverse events in the use of a specific biologic during pregnancy.

MATERIAL AND METHODS

A search was conducted from 1 January 2015 until 4 July 2019 in Embase.com, Medline Ovid, Web of Science, Cochrane CENTRAL, and Google Scholar with specific search terms for each database. Selection of publications was based on title/abstract and followed by full text (double blinded, two researchers). An overview was made based on outcomes of interest. References of the included publications were reviewed to include and minimize the missing publications.

RESULTS

A total of 143 publications were included. The total number of cases ranged from nine for canakinumab to 4276 for infliximab. The rates of miscarriages and major congenital malformations did not show relevant differences from those rates in the general population.

CONCLUSION

Despite limitations to our study, no major safety issues were reported and no trend could be identified in the reported malformations.