Biologic Agents Reduce Cardiovascular Events in Rheumatoid Arthritis Not Responsive to Tumour Necrosis Factor Inhibitors: A National Cohort Study.


Journal

The Canadian journal of cardiology
ISSN: 1916-7075
Titre abrégé: Can J Cardiol
Pays: England
ID NLM: 8510280

Informations de publication

Date de publication:
11 2020
Historique:
received: 24 07 2019
revised: 02 01 2020
accepted: 02 01 2020
pubmed: 1 7 2020
medline: 20 5 2021
entrez: 1 7 2020
Statut: ppublish

Résumé

Tumour necrosis factor inhibitors (TNFis) improve joints outcomes and reduce cardiovascular (CV) risk in patients with rheumatoid arthritis (RA). However, 20%-45% of RA patients are TNFi poor responders and have a significantly higher risk of CV events. In these TNFi nonresponders, the use of second-line biologic agents to improve synovial outcomes is supported by clinical trials and real-world experience. However, it remains unknown what kind of immune-mediated agent has the best CV prevention effect in this high-risk population. A nationwide RA cohort obtained from Taiwan's National Health Insurance claims database was constructed. RA patients first treated with TNFis who then received either rituximab, tocilizumab, or abatacept were enrolled and followed for 2 years. A total of 89,973 RA patients were screened and 1,584 patients ultimately included. The incidences of major adverse cardiac events (MACE) at 2 years in the rituximab, tocilizumab, and abatacept groups were 7.17%, 2.75% and 2.38%, respectively. Multivariate adjusted Cox analysis showed that tocilizumab had significantly lower risk than rituximab in myocardial infarction (hazard ratio [HR] 0.12, 95% confidence interval [CI] 0.02-0.56; P = 0.008), and MACE (HR 0.41, 95% CI 0.23-0.72; P = 0.002). In addition, abatacept also had significant lower adjusted risk than rituximab in stroke (HR 0.18, 95% CI 0.05-0.64; P = 0.008), heart failure (HR 0.20, 95% CI 0.05-0.83; P = 0.027), and MACE (HR 0.25, 95% CI 0.11-0.55; P < 0.001) in multivariate analysis. TNFi-nonresponder patients with RA who received second-line tocilizumab or abatacept had more benefit on CV events prevention compared with those who received rituximab.

Sections du résumé

BACKGROUND
Tumour necrosis factor inhibitors (TNFis) improve joints outcomes and reduce cardiovascular (CV) risk in patients with rheumatoid arthritis (RA). However, 20%-45% of RA patients are TNFi poor responders and have a significantly higher risk of CV events. In these TNFi nonresponders, the use of second-line biologic agents to improve synovial outcomes is supported by clinical trials and real-world experience. However, it remains unknown what kind of immune-mediated agent has the best CV prevention effect in this high-risk population.
METHODS
A nationwide RA cohort obtained from Taiwan's National Health Insurance claims database was constructed. RA patients first treated with TNFis who then received either rituximab, tocilizumab, or abatacept were enrolled and followed for 2 years.
RESULTS
A total of 89,973 RA patients were screened and 1,584 patients ultimately included. The incidences of major adverse cardiac events (MACE) at 2 years in the rituximab, tocilizumab, and abatacept groups were 7.17%, 2.75% and 2.38%, respectively. Multivariate adjusted Cox analysis showed that tocilizumab had significantly lower risk than rituximab in myocardial infarction (hazard ratio [HR] 0.12, 95% confidence interval [CI] 0.02-0.56; P = 0.008), and MACE (HR 0.41, 95% CI 0.23-0.72; P = 0.002). In addition, abatacept also had significant lower adjusted risk than rituximab in stroke (HR 0.18, 95% CI 0.05-0.64; P = 0.008), heart failure (HR 0.20, 95% CI 0.05-0.83; P = 0.027), and MACE (HR 0.25, 95% CI 0.11-0.55; P < 0.001) in multivariate analysis.
CONCLUSIONS
TNFi-nonresponder patients with RA who received second-line tocilizumab or abatacept had more benefit on CV events prevention compared with those who received rituximab.

Identifiants

pubmed: 32603700
pii: S0828-282X(20)30035-0
doi: 10.1016/j.cjca.2020.01.003
pii:
doi:

Substances chimiques

Antirheumatic Agents 0
Biological Factors 0

Types de publication

Journal Article Multicenter Study Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1739-1746

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Ming-Jer Hsieh (MJ)

Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Cheng-Hung Lee (CH)

Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Ming-Lung Tsai (ML)

Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Chang-Fu Kao (CF)

College of Medicine, Chang Gung University, Taoyuan, Taiwan; Division of Rheumatology, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan.

Wen-Ching Lan (WC)

Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan.

Yu-Tung Huang (YT)

Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan.

Wen-Yi Tseng (WY)

College of Medicine, Chang Gung University, Taoyuan, Taiwan; Division of Rheumatology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung Branch, Taiwan.

Ming-Shien Wen (MS)

Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Shang-Hung Chang (SH)

Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan; Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan; Graduate Institute of Nursing, Chang Gung University of Science and Technology, Taoyuan, Taiwan. Electronic address: afen.chang@gmail.com.

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