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Latent classes of early response trajectories to biologics initiation in juvenile idiopathic arthritis: an analysis of four trials
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 cou...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338501/ https://www.ncbi.nlm.nih.gov/pubmed/35907978 http://dx.doi.org/10.1186/s12969-022-00719-1 |
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author | Lim, Lily Siok Hoon Shobhan, Shamsia Lokku, Armend Ringold, Sarah Pullenayegum, Eleanor |
author_facet | Lim, Lily Siok Hoon Shobhan, Shamsia Lokku, Armend Ringold, Sarah Pullenayegum, Eleanor |
author_sort | Lim, Lily Siok Hoon |
collection | PubMed |
description | 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 (< 10), early and sustained response (29.7%), and moderate baseline AJC progressive response (43.8%). Participants were classified into the latent classes with a mean class membership posterior probability of 0.97. Those on methotrexate at baseline were less likely to belong to high baseline AJC class. CONCLUSIONS: Three latent classes of responses were detectable in the first 16 weeks of biologics therapy. Those with the highest baseline AJC demonstrated very slow response in this window and were less likely to be on concomitant methotrexate. TRIALS REGISTRATION: TREAT 2012 (NCT NCT00443430) (Wallace et. al, Arthritis Rheum 64:2012–21, 2012), tocilizumab trial 2014 (NCT00988221), abatacept trial 2008 (NCT00095173). Etanercept 2000 from Amgen does not have a trial registration number. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12969-022-00719-1. |
format | Online Article Text |
id | pubmed-9338501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93385012022-07-31 Latent classes of early response trajectories to biologics initiation in juvenile idiopathic arthritis: an analysis of four trials Lim, Lily Siok Hoon Shobhan, Shamsia Lokku, Armend Ringold, Sarah Pullenayegum, Eleanor Pediatr Rheumatol Online J Research Article 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 (< 10), early and sustained response (29.7%), and moderate baseline AJC progressive response (43.8%). Participants were classified into the latent classes with a mean class membership posterior probability of 0.97. Those on methotrexate at baseline were less likely to belong to high baseline AJC class. CONCLUSIONS: Three latent classes of responses were detectable in the first 16 weeks of biologics therapy. Those with the highest baseline AJC demonstrated very slow response in this window and were less likely to be on concomitant methotrexate. TRIALS REGISTRATION: TREAT 2012 (NCT NCT00443430) (Wallace et. al, Arthritis Rheum 64:2012–21, 2012), tocilizumab trial 2014 (NCT00988221), abatacept trial 2008 (NCT00095173). Etanercept 2000 from Amgen does not have a trial registration number. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12969-022-00719-1. BioMed Central 2022-07-30 /pmc/articles/PMC9338501/ /pubmed/35907978 http://dx.doi.org/10.1186/s12969-022-00719-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Lim, Lily Siok Hoon Shobhan, Shamsia Lokku, Armend Ringold, Sarah Pullenayegum, Eleanor Latent classes of early response trajectories to biologics initiation in juvenile idiopathic arthritis: an analysis of four trials |
title | Latent classes of early response trajectories to biologics initiation in juvenile idiopathic arthritis: an analysis of four trials |
title_full | Latent classes of early response trajectories to biologics initiation in juvenile idiopathic arthritis: an analysis of four trials |
title_fullStr | Latent classes of early response trajectories to biologics initiation in juvenile idiopathic arthritis: an analysis of four trials |
title_full_unstemmed | Latent classes of early response trajectories to biologics initiation in juvenile idiopathic arthritis: an analysis of four trials |
title_short | Latent classes of early response trajectories to biologics initiation in juvenile idiopathic arthritis: an analysis of four trials |
title_sort | latent classes of early response trajectories to biologics initiation in juvenile idiopathic arthritis: an analysis of four trials |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338501/ https://www.ncbi.nlm.nih.gov/pubmed/35907978 http://dx.doi.org/10.1186/s12969-022-00719-1 |
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