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http://hdl.handle.net/2445/201108
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DC Field | Value | Language |
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dc.contributor.author | Novella Navarro, Marta | - |
dc.contributor.author | Benavent, Diego | - |
dc.contributor.author | Ruiz Esquide, Virginia | - |
dc.contributor.author | Tornero, Carolina | - |
dc.contributor.author | Díaz Almirón, Mariana | - |
dc.contributor.author | Chacur, Chafik Alejandro | - |
dc.contributor.author | Peiteado, Diana | - |
dc.contributor.author | Villalba, Alejandro | - |
dc.contributor.author | Sanmartí Sala, Raimon | - |
dc.contributor.author | Plasencia Rodríguez, Chamaida | - |
dc.contributor.author | Balsa, Alejandro | - |
dc.date.accessioned | 2023-07-24T12:39:22Z | - |
dc.date.available | 2023-07-24T12:39:22Z | - |
dc.date.issued | 2022-10-06 | - |
dc.identifier.issn | 1759-7218 | - |
dc.identifier.uri | http://hdl.handle.net/2445/201108 | - |
dc.description.abstract | Despite advances in the treatment of rheumatoid arthritis (RA) and the wide range of therapies available, there is a percentage of patients whose treatment presents a challenge for clinicians due to lack of response to multiple biologic and target-specific disease-modifying antirheumatic drugs (b/tsDMARDs).To develop and validate an algorithm to predict multiple failure to biological therapy in patients with RA.Observational retrospective study involving subjects from a cohort of patients with RA receiving b/tsDMARDs.Based on the number of prior failures to b/tsDMARDs, patients were classified as either multi-refractory (MR) or non-refractory (NR). Patient characteristics were considered in the statistical analysis to design the predictive model, selecting those variables with a predictive capability. A decision algorithm known as 'classification and regression tree' (CART) was developed to create a prediction model of multi-drug resistance. Performance of the prediction algorithm was evaluated in an external independent cohort using area under the curve (AUC).A total of 136 patients were included: 51 MR and 85 NR. The CART model was able to predict multiple failures to b/tsDMARDs using disease activity score-28 (DAS-28) values at 6 months after the start time of the initial b/tsDMARD, as well as DAS-28 improvement in the first 6 months and baseline DAS-28. The CART model showed a capability to correctly classify 94.1% NR and 87.5% MR patients with a sensitivity = 0.88, a specificity = 0.94, and an AUC = 0.89 (95% CI: 0.74-1.00). In the external validation cohort, 35 MR and 47 NR patients were included. The AUC value for the CART model in this cohort was 0.82 (95% CI: 0.73-0.9).Our model correctly classified NR and MR patients based on simple measurements available in routine clinical practice, which provides the possibility to characterize and individualize patient treatments during early stages.© The Author(s), 2022. | - |
dc.format.extent | 14 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | SAGE | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1177/1759720X221124028 | - |
dc.relation.ispartof | Therapeutic Advances In Musculoskeletal Disease, 2022, vol. 14 | - |
dc.relation.uri | https://doi.org/10.1177/1759720X221124028 | - |
dc.rights | cc by-nc (c) Novella Navarro, Marta et al, 2022 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ | * |
dc.source | Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) | - |
dc.subject.classification | Artritis reumatoide | - |
dc.subject.classification | Teoria de la predicció | - |
dc.subject.classification | Terapèutica | - |
dc.subject.other | Rheumatoid arthritis | - |
dc.subject.other | Prediction theory | - |
dc.subject.other | Therapeutics | - |
dc.title | Predictive model to identify multiple failure to biological therapy in patients with rheumatoid arthritis | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.date.updated | 2023-06-28T08:49:07Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.idimarina | 9333032 | - |
dc.identifier.pmid | 36226311 | - |
Appears in Collections: | Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) |
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File | Description | Size | Format | |
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Predictive model to identify multiple failure to biological therapy in patients with rheumatoid arthritis_TherapeuricAdvancesInMuskuloskeletal.pdf | 578.03 kB | Adobe PDF | View/Open |
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