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

被引:43
|
作者
Jani, Meghna [1 ,4 ]
Barton, Anne [2 ,3 ]
Hyrich, Kimme [1 ,3 ]
机构
[1] Univ Manchester, Ctr Musculoskeletal Res, Arthrit Res UK Ctr Epidemiol, Manchester, Lancs, England
[2] Univ Manchester, Div Musculoskeletal & Dermatol Sci, Arthrit Res UK Ctr Genet & Genom, Manchester, Lancs, England
[3] Manchester Univ NHS Fdn Trust, Manchester Acad Hlth Sci Ctr, CNIHR Manchester Biomed Res Ctr, Manchester, Lancs, England
[4] Salford Royal NHS Fdn Trust, Rheumatol Dept, Salford, Lancs, England
关键词
anti-tumour necrosis factor; biologics; infection; rheumatoid arthritis; stratification; MODIFYING ANTIRHEUMATIC DRUGS; NECROSIS FACTOR THERAPY; ANTI-TNF THERAPY; SERIOUS INFECTION; BRITISH SOCIETY; REGISTER; SCORE; TUBERCULOSIS; ASSOCIATION; ANTIBODIES;
D O I
10.1097/BOR.0000000000000598
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose of review There are currently several available biologics for rheumatoid arthritis (RA) with similar efficacy in most trials. A major consideration therefore in choosing a biologic, continues to be safety concerns such as infection. Considerable advances have been made in the understanding of biologic safety on a population level; however, how close are we to stratifying risk for individual patients? This review discusses evidence published in the last year, with reference to key previous literature. Recent findings Comparative safety of biologics has been studied in observational cohorts, with a possible increased risk of serious infection in tocilizumab-treated patients compared with etanercept. Rheumatoid arthritis patients on biologics are often on concomitant medications such as steroids and opioids, and the advances in relation to infection are summarized. Pharmacological biomarkers and optimizing existing risk prediction scores may allow better future risk stratification. Summary Improved quantification of personalized benefit: harms would allow better-informed decisions, reduction of infection-associated morbidity as well as direct/indirect costs associated with biologics. Although advances have been made to better understand and predict risk, future studies are likely to require a range of novel data sources and methodologies for the goal of precision medicine to be truly realized.
引用
收藏
页码:285 / 292
页数:8
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