{"title":"Comparative Safety of Biologic and Targeted-Synthetic DMARDs in Patients With Rheumatoid Arthritis: A Multi-Database Real-World Cohort Study.","authors":"Yinzhu Jin, Jun Liu, Rishi J Desai","doi":"10.1002/pds.70193","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To examine the comparative risk of malignancy, venous thromboembolism (VTE), and heart failure (HF) associated with biologic/targeted synthetic disease-modifying antirheumatic drugs (b/ts DMARDs) in patients with rheumatoid arthritis (RA).</p><p><strong>Methods: </strong>We conducted an observational cohort study using 3 US insurance claims databases: Medicare (2009-2019), MarketScan (2009-2020), and Optum's de-identified Clinformatics Data Mart Database (CDM, 2009-2022). We included adults with RA initiating abatacept (reference), tumor necrosis factor inhibitors (TNFi), rituximab, interleukin-6 inhibitors (IL-6i), or Janus kinase inhibitors (JAKi). We used an as-treated approach as the primary analysis to estimate outcome incidence. Inverse probability of treatment weighting was applied to adjust for confounding. Database-specific hazard ratios (HR) with 95% confidence intervals (CI) were estimated using Cox-proportional hazard models, then combined through random-effects meta-analysis.</p><p><strong>Results: </strong>We identified 26 908 abatacept, 11 176 IL-6i, 115 437 TNFi, 14 045 JAKi, and 12 097 rituximab initiators. Weighted HR (95% CI) of malignancy was 0.73 (0.60-0.88) for IL-6i, 0.85 (0.60-1.19) for JAKi, 1.30 (1.14-1.49) for rituximab, and 0.93 (0.85-1.02) for TNFi, compared to abatacept. Weighted HR (95% CI) for VTE was 0.92 (0.62-1.35), 1.17 (0.73-1.86), 1.43 (1.50-1.95), and 1.16 (0.93-1.46), respectively. Weighted HR (95% CI) for HF was 1.00 (0.69-1.46), 1.24 (0.62-2.51), 1.52 (1.04-2.22), and 1.54 (1.22-1.94), respectively.</p><p><strong>Conclusion: </strong>We observed increased risks of malignancy, VTE, and HF among rituximab initiators; an increased risk of HF among TNFi initiators; and a lower risk of malignancy among IL-6i initiators, all compared to abatacept initiators. These findings should be interpreted with caution due to the potential influence of residual confounding.</p>","PeriodicalId":19782,"journal":{"name":"Pharmacoepidemiology and Drug Safety","volume":"34 8","pages":"e70193"},"PeriodicalIF":2.4000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacoepidemiology and Drug Safety","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/pds.70193","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: To examine the comparative risk of malignancy, venous thromboembolism (VTE), and heart failure (HF) associated with biologic/targeted synthetic disease-modifying antirheumatic drugs (b/ts DMARDs) in patients with rheumatoid arthritis (RA).
Methods: We conducted an observational cohort study using 3 US insurance claims databases: Medicare (2009-2019), MarketScan (2009-2020), and Optum's de-identified Clinformatics Data Mart Database (CDM, 2009-2022). We included adults with RA initiating abatacept (reference), tumor necrosis factor inhibitors (TNFi), rituximab, interleukin-6 inhibitors (IL-6i), or Janus kinase inhibitors (JAKi). We used an as-treated approach as the primary analysis to estimate outcome incidence. Inverse probability of treatment weighting was applied to adjust for confounding. Database-specific hazard ratios (HR) with 95% confidence intervals (CI) were estimated using Cox-proportional hazard models, then combined through random-effects meta-analysis.
Results: We identified 26 908 abatacept, 11 176 IL-6i, 115 437 TNFi, 14 045 JAKi, and 12 097 rituximab initiators. Weighted HR (95% CI) of malignancy was 0.73 (0.60-0.88) for IL-6i, 0.85 (0.60-1.19) for JAKi, 1.30 (1.14-1.49) for rituximab, and 0.93 (0.85-1.02) for TNFi, compared to abatacept. Weighted HR (95% CI) for VTE was 0.92 (0.62-1.35), 1.17 (0.73-1.86), 1.43 (1.50-1.95), and 1.16 (0.93-1.46), respectively. Weighted HR (95% CI) for HF was 1.00 (0.69-1.46), 1.24 (0.62-2.51), 1.52 (1.04-2.22), and 1.54 (1.22-1.94), respectively.
Conclusion: We observed increased risks of malignancy, VTE, and HF among rituximab initiators; an increased risk of HF among TNFi initiators; and a lower risk of malignancy among IL-6i initiators, all compared to abatacept initiators. These findings should be interpreted with caution due to the potential influence of residual confounding.
期刊介绍:
The aim of Pharmacoepidemiology and Drug Safety is to provide an international forum for the communication and evaluation of data, methods and opinion in the discipline of pharmacoepidemiology. The Journal publishes peer-reviewed reports of original research, invited reviews and a variety of guest editorials and commentaries embracing scientific, medical, statistical, legal and economic aspects of pharmacoepidemiology and post-marketing surveillance of drug safety. Appropriate material in these categories may also be considered for publication as a Brief Report.
Particular areas of interest include:
design, analysis, results, and interpretation of studies looking at the benefit or safety of specific pharmaceuticals, biologics, or medical devices, including studies in pharmacovigilance, postmarketing surveillance, pharmacoeconomics, patient safety, molecular pharmacoepidemiology, or any other study within the broad field of pharmacoepidemiology;
comparative effectiveness research relating to pharmaceuticals, biologics, and medical devices. Comparative effectiveness research is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, as these methods are truly used in the real world;
methodologic contributions of relevance to pharmacoepidemiology, whether original contributions, reviews of existing methods, or tutorials for how to apply the methods of pharmacoepidemiology;
assessments of harm versus benefit in drug therapy;
patterns of drug utilization;
relationships between pharmacoepidemiology and the formulation and interpretation of regulatory guidelines;
evaluations of risk management plans and programmes relating to pharmaceuticals, biologics and medical devices.