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dc.contributor.authorCollins, Jamie E.
dc.contributor.authorJohansson, Fredrik D.
dc.contributor.authorGale, Sara
dc.contributor.authorKim, Seoyoung
dc.contributor.authorShrestha, Swastina
dc.contributor.authorSontag, David Alexander
dc.contributor.authorStratton, Jacklyn
dc.contributor.authorTrinh, Huong
dc.contributor.authorXu, Chang
dc.contributor.authorLosina, Elena
dc.contributor.authorSolomon, Daniel H.
dc.date.accessioned2021-04-13T19:44:01Z
dc.date.available2021-04-13T19:44:01Z
dc.date.issued2020-02
dc.date.submitted2019-10
dc.identifier.issn2578-5745
dc.identifier.issn2578-5745
dc.identifier.urihttps://hdl.handle.net/1721.1/130469
dc.description.abstractOBJECTIVE: Most patients with rheumatoid arthritis (RA) strive to consolidate their treatment from methotrexate combinations. The objective of this analysis was to identify patients with RA most likely to achieve remission with tocilizumab (TCZ) monotherapy by developing and validating a prediction model and associated remission score. METHODS: We identified four TCZ monotherapy randomized controlled trials in RA and chose two for derivation and two for internal validation. Remission was defined as a Clinical Disease Activity Index score less than 2.8 at 24 weeks post randomization. We used logistic regression to assess the association between each predictor and remission. After selecting variables and assessing model performance in the derivation data set, we assessed model performance in the validation data set. The cohorts were combined to calculate a remission prediction score. RESULTS: The variables selected included younger age, male sex, lower baseline Clinical Disease Activity Index score, shorter RA disease duration, region of the world (Europe and South America [increased odds of remission] versus Asia and North America), no previous exposure to disease-modifying antirheumatic drugs and/or methotrexate, lower baseline Health Assessment Questionnaire Disability Index score, and baseline hematocrit. The area under the receiver operating characteristic curve was 0.739 in the derivation data set and 0.756 in the validation data set. Patients were categorized into three remission prediction categories based on the remission prediction score: 40% in the low (less than 10% probability of remission), 45% in the intermediate (10%-25% probability), and 15% in the moderate remission prediction category (greater than 25% probability). CONCLUSION: We used easily accessible factors to develop a remission prediction score to predict RA remission at 24 weeks after initializing TCZ monotherapy. These results may provide guidance to clinicians tailoring treatment options based on clinical characteristics.en_US
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/acr2.11101en_US
dc.rightsCreative Commons Attribution NonCommercial License 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceWileyen_US
dc.titlePredicting Remission Among Patients With Rheumatoid Arthritis Starting Tocilizumab Monotherapy: Model Derivation and Remission Score Developmenten_US
dc.typeArticleen_US
dc.identifier.citationCollins, Jamie E. et al. "Predicting Remission Among Patients With Rheumatoid Arthritis Starting Tocilizumab Monotherapy: Model Derivation and Remission Score Development." ACR Open Rheumatology 2, 2 (February 2020): 65-73 © 2020 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.relation.journalACR Open Rheumatologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-03-19T15:03:07Z
dspace.orderedauthorsCollins, JE; Johansson, FD; Gale, S; Kim, S; Shrestha, S; Sontag, D; Stratton, J; Trinh, H; Xu, C; Losina, E; Solomon, DHen_US
dspace.date.submission2021-03-19T15:03:08Z
mit.journal.volume2en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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