| Autor: |
Lily Siok Hoon Lim, Shamsia Shobhan, Armend Lokku, Sarah Ringold, Eleanor Pullenayegum |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Pediatric Rheumatology Online Journal, Vol 20, Iss 1, Pp 1-7 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1546-0096 |
| DOI: |
10.1186/s12969-022-00719-1 |
| Popis: |
Abstract Aims 1) To delineate latent classes of treatment response to biologics in juvenile idiopathic arthritis (JIA) patients in the first 16 weeks after initiation. 2) To identify predictors of early disease response. Methods The study population was drawn from four biologics trials in polyarticular course JIA: Etanercept 2000, Abatacept 2008, TRial of Early Aggressive Therapy (TREAT) 2012 and Tocilizumab 2014. The outcome was active joint counts (AJC). Semiparametric latent class trajectory analysis was applied to identify latent classes of response to treatment; AJC was transformed for this modelling. We tested baseline disease and treatment characteristics for their abilities to predict class membership of response. Results There were 480 participants, 74% females. At baseline, 26% were rheumatoid factor positive. 67% were on methotrexate at enrollment. Three latent class solution provided the best fit. Baseline AJC was the sole best predictor of class membership. Participants classified by their highest membership probabilities into high baseline AJC (> 30) and slow response (26.5%), low baseline AJC ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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