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Sermsaksasithorn P, Wongtada C, Chaaim V, Chongpison Y, Asawanonda P. On and off-label uses of interleukin-17 inhibitors for patients with plaque-type psoriasis in Thailand: a real-world study. J DERMATOL TREAT 2022; 33:2963-2974. [PMID: 35695280 DOI: 10.1080/09546634.2022.2089328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND Off-label uses of biologics in the treatment of psoriasis are usually implemented in limited-resource settings and studies regarding their response profiles are limited. METHOD This was a retrospective study performed in moderate-to-severe plaque-type psoriasis patients who had been treated with either secukinumab, ixekizumab or brodalumab at a university hospital in Thailand between 1 January 2017 and 1 April 2021. RESULTS A total of 142 patients were included in the data analysis consisting of three groups of 48 patients, 86 patients, and 8 patients treated by secukinumab, ixekizumab, and brodalumab, respectively. Patients were then classified into five groups according to the dosing pattern they received; on-label, off-label with induction, off-label with specific pattern, off-label with irregular dosing interval <8 weeks and >8 weeks. Considering both secukinumab and ixekizumab, the adjusted hazard ratios (95%CI) for complete skin clearance of the four off-label regimens were 2.2(0.9-5.2), 1.9 (0.9-3.9), 1.0 (0.4-2.2), and 1.6 (0.7-3.6), compared to on-label regimen, respectively. In each biologic drug, almost all off-label dosing regimens demonstrated higher adjusted hazard ratios compared to on-label regimen. CONCLUSION Off-label, patient-oriented regimens could be a promising choice of IL-17 inhibitors for administration in special settings. Off-label regimens are not inferior in terms of skin clearance to an on-label regimen in the efficacy of psoriasis treatment of secukinumab and ixekizumab but do cause more flares. The decision to use off-label regimens must account for the benefits and associated risks.
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Affiliation(s)
| | - Chanidapa Wongtada
- Faculty of Medicine, Division of Dermatology, Department of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Varin Chaaim
- Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Yuda Chongpison
- Faculty of Medicine, Biostatistics Excellence Center, Research Affairs, Chulalongkorn University, Bangkok, Thailand
| | - Pravit Asawanonda
- Faculty of Medicine, Division of Dermatology, Department of Medicine, Chulalongkorn University, Bangkok, Thailand
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Malm E, Nielsen SM, Berg J, Ioannidis JPA, Furst D, Smolen JS, Taylor PC, Kristensen LE, Tarp S, Ellingsen T, Christensen R. Risk of harm in synthetic and biological intervention trials in patients with inflammatory arthritis: protocol for a metaepidemiological study focusing on contextual factors. BMJ Open 2021; 11:e049850. [PMID: 34489286 PMCID: PMC8422485 DOI: 10.1136/bmjopen-2021-049850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Inflammatory arthritis (IA) conditions, including rheumatoid arthritis, psoriatic arthritis and axial spondyloarthritis, are characterised by inflammatory infiltration of the joints. Biological disease-modifying antirheumatic drugs (bDMARDs) and targeted synthetic disease-modifying antirheumatic drugs (tsDMARDs), respectively, reduce the effects of proinflammatory cytokines and immune cells to ameliorate disease. However, immunosuppression can be associated with high rates of serious adverse events (SAEs), including serious infections, and maybe an increased risk of malignancies and cardiovascular events. Currently, there is no empirical evidence on the extent to which contextual factors and risk of bias (RoB) domains may modify these harm signals in randomised trials. METHODS AND ANALYSIS We will search MEDLINE (via PubMed) for systematic reviews published since April 2015 and all Cochrane reviews. From these reviews, randomised trials will be eligible if they include patients with an IA condition with at least one group randomly allocated to bDMARD and/or tsDMARD treatments. A predefined form will be used for extracting data on population characteristics (eg, baseline characteristics or eligibility criteria, such as medication background) and specific harm outcome measures, such as number of withdrawals, numbers of patients discontinuing due to adverse events and number of patients having SAEs. RoB in individual trials will be assessed using a modified Cochrane RoB tool. We will estimate the potentially causal harm effects related to the experimental intervention compared with control comparator as risk ratios, and heterogeneity across randomised comparisons will be assessed statistically and evaluated as inconsistency using the I2 Index. Our metaregression analyses will designate population and trial characteristics and each RoB domain as independent variables, whereas the three harm domains will serve as dependent variables. ETHICS AND DISSEMINATION Ethics approval is not required for this study. Results will be disseminated through publication in international peer-reviewed journals. PROSPERO REGISTRATION NUMBER CRD42020171124.
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Affiliation(s)
- Esben Malm
- Section for Biostatistics and Evidence-Based Research, the Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark
| | - Sabrina Mai Nielsen
- Section for Biostatistics and Evidence-Based Research, the Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark
| | - Johannes Berg
- Section for Biostatistics and Evidence-Based Research, the Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark
| | - John P A Ioannidis
- 3Department of Medicine, Department of Epidemiology and Population Health, Department of Biomedical Data Science, Department of Statistics, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA
| | - Daniel Furst
- Division of Rheumatology, Department of Medicine, University of California at Los Angeles, LA, CA, USA
| | - Josef S Smolen
- Division of Rheumatology, Department of Medicine, Medical University of Vienna, Vienna, Austria
| | - Peter C Taylor
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Lars Erik Kristensen
- Section for Biostatistics and Evidence-Based Research, the Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Simon Tarp
- Section for Biostatistics and Evidence-Based Research, the Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Torkell Ellingsen
- Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark
| | - Robin Christensen
- Section for Biostatistics and Evidence-Based Research, the Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark
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