Tuberculosis in Biologic-naïve Patients With Rheumatoid Arthritis: Risk Factors and Tuberculosis Characteristics

OBJECTIVE

To investigate risk factors and characteristics of active tuberculosis (TB) in biologic-naïve patients with rheumatoid arthritis (RA).

METHODS

We conducted a population-based case-control study using the Swedish Rheumatology Quality Register, the National Patient Register, and the Tuberculosis Register to identify RA patients with active TB and matched RA controls without TB between 2001-2014. Clinical data were obtained from medical records. TB risk was estimated as adjusted OR (aOR) with 95% CI using univariate and multivariable logistic regression analyses.

RESULTS

After validation of diagnoses, the study included 31 RA patients with TB and 122 matched RA controls. All except 3 cases had reactivation of latent TB. Pulmonary TB was most prevalent (84%). Ever use of methotrexate was not associated with increased TB risk (aOR 0.8, 95% CI 0.3-2.0), whereas ever treatment with leflunomide (aOR 6.0, 95% CI 1.5-24.7), azathioprine (aOR 3.8, 95% CI 1.1-13.8), and prednisolone (PSL; aOR 2.4, 95% CI 1.0-6.0) was. There were no significant differences between maximum dose of PSL, treatment duration with PSL before TB, or cumulative dose of PSL the year before TB diagnosis between cases and controls. Obstructive pulmonary disease was associated with an increased TB risk (aOR 3.9, 95% CI 1.5-10.7).

CONCLUSION

Several RA-associated factors may contribute to increased TB risk in biologic-naïve patients with RA, making the risk of TB activation difficult to predict in the individual patient. To further decrease TB in patients with RA, the results suggest that screening for latent TB should also be considered in biologic-naïve patients.

Risk of tuberculosis reactivation associated with traditional disease modifying anti-rheumatic drugs and non-anti-tumor necrosis factor biologics in patients with rheumatic disorders and suggestion for clinical practice

INTRODUCTION

Two classes of biologics, anti-tumor necrosis factor (TNF) and non-anti-TNF targeted, are currently available for the treatment of rheumatic diseases.

AREAS COVERED

Discussion on the need for LTBI diagnosis in rheumatic patients treated csDMARDs and non-anti-TNFs through a review of the literature. The literature, updated to 15 April 2019, on tuberculosis (TB) reactivation risk in patients exposed to conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) and non-anti-TNF biologics was reviewed.

EXPERT OPINION

An increased risk of TB reactivation in patients receiving csDMARDs (except sulphasalazine) resulted, while a review of clinical trials, and Periodic Safety Update Reports from pharmaceutical Companies evidenced a very low or absent risk for non-anti-TNF biologics. Hence, a contradiction emerges considering that latent TB infection (LTBI) screening is recommended for non-anti-TNF candidates but not for csDMARDs. Concerning the low TB incidence countries, several actions could be undertaken, including to screen all patients independently on the treatment, to omit the procedure in non-anti-TNF candidates, or to perform the LTBI investigations only in high-risk patients. According to WHO guidelines, LTBI screening in low TB risk countries seems unnecessary, except in high TB risk subjects.

[Analysis of Time-to-onset and Onset-pattern of Interstitial Lung Disease after the Administration of Monoclonal Antibody Agents]

The aim of this study has been to investigate the time-to-onset and onset-pattern of drug-induced interstitial lung disease (DILD) after the administration of monoclonal antibodies through the use of the spontaneous adverse reaction reporting system of the Japanese Adverse Drug Event Report database. DILD datasets for adalimumab, bevacizumab, cetuximab, denosumab, golimumab, infliximab, nivolumab, panitumumab, pembrolizumab, tocilizumab, and trastuzumab were used to calculate the median time-to-onset of DILD, as well as the Weibull distribution parameters. The median time-to-onset of DILD for pembrolizumab and infliximab was within 1 month. The median time-to-onset of DILD for cetuximab, nivolumab, panitumumab, bevacizumab, golimumab, trastuzumab, and tocilizumab ranged from 1 to 2 months. The median time-to-onset of DILD for denosumab and adalimumab was more than 2 months. Infliximab, trastuzumab and tocilizumab, and denosumab were estimated to fit the early failure type profile of the Weibull distribution parameters. Cetuximab, nivolumab, panitumumab, bevacizumab, golimumab, and adalimumab were estimated to fit the random failure type profile. Pembrolizumab was estimated to fit the wear out failure type profile. Cluster analysis was performed to classify the time-to-onset patterns of DILD. Hierarchical cluster analysis showed 3 clusters. The findings of this study established both the most likely time period and onset-pattern of DILD that can occur in patients after the administration of monoclonal antibody agents.