Risk of Serious Infection in Patients With Rheumatoid Arthritis Treated With Biologic Versus Nonbiologic Disease-Modifying Antirheumatic Drugs

被引:47
作者
Ozen, Gulsen [1 ]
Pedro, Sofia [2 ]
England, Bryant R. [3 ,4 ]
Mehta, Bella [5 ]
Wolfe, Frederick [2 ]
Michaud, Kaleb [1 ,2 ]
机构
[1] Univ Nebraska, Med Ctr, 986270 Nebraska Med Ctr, Omaha, NE 68198 USA
[2] The Natl Databank Rheumat Dis, FORWARD, Wichita, KS USA
[3] Univ Nebraska, Med Ctr, Omaha, NE USA
[4] VA Nebraska Western Iowa Hlth Care Syst, Omaha, NE USA
[5] Hosp Special Surg, New York, NY USA
关键词
NECROSIS-FACTOR THERAPY; ANTI-TNF; DOUBLE-BLIND; BACTERIAL-INFECTIONS; RITUXIMAB; METHOTREXATE; AGENTS; HOSPITALIZATION; MALIGNANCIES; METAANALYSIS;
D O I
10.1002/acr2.11064
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveThe objective of this study is to examine the risk of serious infections (SIs) associated with biological disease-modifying antirheumatic drugs (bDMARDs) compared with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) in patients with rheumatoid arthritis (RA).MethodsWe studied patients with RA who initiated bDMARDs or csDMARDs from 2001 to 2016 in FORWARD-The National Databank for Rheumatic Diseases. Disease-modifying antirheumatic drugs (DMARDs) were categorized into three groups: (1) csDMARDs (bDMARD-na & iuml;ve; reference), (2) tumor necrosis factor alpha inhibitors (TNFis), and (3) non-TNFi biologics (abatacept, rituximab, tocilizumab, and anakinra). SIs were defined as those requiring intravenous antibiotics or hospitalization or those resulting in death. We calculated the propensity score (PS), which reflected the probability of receiving a specific DMARD group, and estimated the hazard ratio (HR) (with the 95% confidence interval [CI]) for SI from multivariable Cox models, adjusting for PS and time-varying confounders.ResultsA total of 694 (5.9%) first SIs were identified in 11 623 patients with RA during 27 552 patient-years of follow-up. The SI incidence rate per 1000 patient-years was 22.4 (95% CI 19.2-26.1) for csDMARDs, 26.9 (95% CI 24.5-29.6) for TNFis, and 23.3 (95% CI 19.0-28.5) for non-TNFi bDMARDs. Adjusted HRs for SIs were 1.33 (95% CI 1.05-1.68) for TNFis and 1.48 (95% CI 1.02-2.16) for non-TNFi bDMARDs, compared with csDMARDs. The SI risk with non-TNFi bDMARDs versus TNFis was not different. Other risk factors for SI were older age, higher comorbidity burden (particularly pulmonary disease), higher weighted cumulative prednisone dose, disability and disease activity, and number of prior csDMARD failures.ConclusionTNFis and non-TNFi bDMARDs were associated with an increased SI risk compared with csDMARDs in RA, even after accounting for risk-associated patient characteristics.
引用
收藏
页码:424 / 432
页数:9
相关论文
共 50 条
  • [31] Comparative Risk of Cardiovascular Events With Biologic and Synthetic Disease-Modifying Antirheumatic Drugs in Patients With Rheumatoid Arthritis: A Systematic Review and Meta-Analysis
    Singh, Siddharth
    Fumery, Mathurin
    Singh, Abha G.
    Singh, Namrata
    Prokop, Larry J.
    Dulai, Parambir S.
    Sandborn, William J.
    Curtis, Jeffrey R.
    ARTHRITIS CARE & RESEARCH, 2020, 72 (04) : 561 - 576
  • [32] Utilization of biologic disease-modifying anti-rheumatic drugs in patients with rheumatoid arthritis and cancer
    Pundole, Xerxes
    Zamora, Natalia V.
    Siddhanamatha, Harish
    Lin, Heather
    Tayar, Jean
    Hong, Leung Cheuk
    Li, Liang
    Suarez-Almazor, Maria E.
    CLINICAL RHEUMATOLOGY, 2020, 39 (03) : 787 - 794
  • [33] Safety of disease-modifying antirheumatic drugs and biologic agents for rheumatoid arthritis patients in real-life conditions
    Abasolo, Lydia
    Leon, Leticia
    Rodriguez-Rodriguez, Luis
    Tobias, Aurelio
    Rosales, Zulema
    Leal, Jose Maria
    Castano, Victor
    Vadillo, Cristina
    Macarron, Pilar
    Fontsere, Oscar
    Jover, Juan Angel
    SEMINARS IN ARTHRITIS AND RHEUMATISM, 2015, 44 (05) : 506 - 513
  • [34] Treatment adherence to disease-modifying antirheumatic drugs in Chinese patients with rheumatoid arthritis
    Xia, Yunfei
    Yin, Rulan
    Fu, Ting
    Zhang, Lijuan
    Zhang, Qiuxiang
    Guo, Genkai
    Li, Liren
    Gu, Zhifeng
    PATIENT PREFERENCE AND ADHERENCE, 2016, 10 : 735 - 742
  • [35] Risk of cutaneous herpes zoster in patients with spondyloarthritis treated with conventional and biologic disease-modifying antirheumatic drugs
    Wong, Sabrina Ching Tung
    Li, Iris Wai Sum
    Ng, Alexandra Hoi Yan
    Lau, Chak Sing
    Chung, Ho Yin
    INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES, 2020, 23 (02) : 189 - 196
  • [36] Reactivation of hepatitis B virus in rheumatoid arthritis patients treated with biological disease-modifying antirheumatic drugs
    Nakamura, Jun
    Nagashima, Takao
    Nagatani, Katsuya
    Yoshio, Taku
    Iwamoto, Masahiro
    Minota, Seiji
    INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES, 2016, 19 (05) : 470 - 475
  • [37] Persistence of biologic disease-modifying antirheumatic drugs in patients with rheumatoid arthritis: An analysis of the South Korean National Health Insurance Database
    Lee, Min-Young
    Shin, Ju-Young
    Park, Sun-Young
    Kim, Donguk
    Cha, Hoon-Suk
    Lee, Eui-Kyung
    SEMINARS IN ARTHRITIS AND RHEUMATISM, 2018, 47 (04) : 485 - 491
  • [38] The effect of disease-modifying antirheumatic drugs (DMARDs) on bone homeostasis in rheumatoid arthritis (RA) patients
    Khoshroo, Ahmadreza
    Ramezani, Keyvan
    Moghimi, Niusha
    Bonakdar, Moein
    Ramezani, Nazanin
    INFLAMMOPHARMACOLOGY, 2023, 31 (02) : 689 - 697
  • [39] Update on the use of conventional disease-modifying antirheumatic drugs in the management of rheumatoid arthritis
    Feely, Michael G.
    O'Dell, James R.
    CURRENT OPINION IN RHEUMATOLOGY, 2010, 22 (03) : 316 - 320
  • [40] Risk of diabetes mellitus associated with disease-modifying antirheumatic drugs and statins in rheumatoid arthritis
    Ozen, Gulsen
    Pedro, Sofia
    Holmqvist, Marie E.
    Avery, Michael
    Wolfe, Frederick
    Michaud, Kaleb
    ANNALS OF THE RHEUMATIC DISEASES, 2017, 76 (05) : 848 - 854