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Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio

INTRODUCTION: Methotrexate (MTX) constitutes the first-line therapy in rheumatoid arthritis (RA), yet approximately 30% of the patients do not benefit from MTX. Recently, we reported a prognostic multivariable prediction model for insufficient clinical response to MTX at 3 months of treatment in the...

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Autores principales: Gosselt, Helen R., Verhoeven, Maxime M. A., de Rotte, Maurits C. F. J., Pluijm, Saskia M. F., Muller, Ittai B., Jansen, Gerrit, Tekstra, Janneke, Bulatović-Ćalasan, Maja, Heil, Sandra G., Lafeber, Floris P. J. G., Hazes, Johanna M. W., de Jonge, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695780/
https://www.ncbi.nlm.nih.gov/pubmed/32926395
http://dx.doi.org/10.1007/s40744-020-00230-7
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author Gosselt, Helen R.
Verhoeven, Maxime M. A.
de Rotte, Maurits C. F. J.
Pluijm, Saskia M. F.
Muller, Ittai B.
Jansen, Gerrit
Tekstra, Janneke
Bulatović-Ćalasan, Maja
Heil, Sandra G.
Lafeber, Floris P. J. G.
Hazes, Johanna M. W.
de Jonge, Robert
author_facet Gosselt, Helen R.
Verhoeven, Maxime M. A.
de Rotte, Maurits C. F. J.
Pluijm, Saskia M. F.
Muller, Ittai B.
Jansen, Gerrit
Tekstra, Janneke
Bulatović-Ćalasan, Maja
Heil, Sandra G.
Lafeber, Floris P. J. G.
Hazes, Johanna M. W.
de Jonge, Robert
author_sort Gosselt, Helen R.
collection PubMed
description INTRODUCTION: Methotrexate (MTX) constitutes the first-line therapy in rheumatoid arthritis (RA), yet approximately 30% of the patients do not benefit from MTX. Recently, we reported a prognostic multivariable prediction model for insufficient clinical response to MTX at 3 months of treatment in the treatment in the Rotterdam Early Arthritis Cohort (tREACH), including baseline predictors: Disease activity score 28 (DAS28), Health Assessment Questionnaire (HAQ), erythrocyte folate, single-nucleotide polymorphisms (SNPs; ABCB1, ABCC3), smoking, and BMI. The purpose of the current study was (1) to externally validate the model and (2) to enhance the model’s clinical applicability. METHODS: Erythrocyte folate and SNPs were assessed in 91 early disease-modifying antirheumatic drug (DMARD)-naïve RA patients starting MTX in the external validation cohort (U-Act-Early). Insufficient response (DAS28 > 3.2) was determined after 3 months and non-response after 6 months of therapy. The previously developed prediction model was considered successfully validated in the U-Act-Early (validation cohort) if the area under the curve (AUC) of the receiver operating characteristic (ROC) was not significantly lower than in the tREACH (derivation cohort). RESULTS: The AUCs in U-Act-Early at three and 6 months were 0.75 (95% CI 0.64–0.85) and 0.71 (95% CI 0.60–0.82) respectively, similar to the tREACH. Baseline DAS28 > 5.1 and HAQ > 0.6 were the strongest predictors. The model was simplified by excluding the SNPs, while still classifying 73% correctly. Furthermore, interaction terms between BMI and HAQ and BMI and erythrocyte folate significantly improved the model increasing correct classification to 75%. Results were successfully implemented in Evidencio online platform assisting clinicians in shared decision-making to intensify treatment when appropriate. CONCLUSIONS: We successfully externally validated our recently reported prediction model for MTX non-response and enhanced its clinical application thus enabling its evaluation in a clinical trial. TRIAL REGISTRATION: The U-Act-Early is registered at ClinicalTrials.gov. number: NCT01034137. tREACH is registered retrospectively at ISRCTN registry, number: ISRCTN26791028 at 23 August 2007. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40744-020-00230-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-76957802020-11-30 Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio Gosselt, Helen R. Verhoeven, Maxime M. A. de Rotte, Maurits C. F. J. Pluijm, Saskia M. F. Muller, Ittai B. Jansen, Gerrit Tekstra, Janneke Bulatović-Ćalasan, Maja Heil, Sandra G. Lafeber, Floris P. J. G. Hazes, Johanna M. W. de Jonge, Robert Rheumatol Ther Original Research INTRODUCTION: Methotrexate (MTX) constitutes the first-line therapy in rheumatoid arthritis (RA), yet approximately 30% of the patients do not benefit from MTX. Recently, we reported a prognostic multivariable prediction model for insufficient clinical response to MTX at 3 months of treatment in the treatment in the Rotterdam Early Arthritis Cohort (tREACH), including baseline predictors: Disease activity score 28 (DAS28), Health Assessment Questionnaire (HAQ), erythrocyte folate, single-nucleotide polymorphisms (SNPs; ABCB1, ABCC3), smoking, and BMI. The purpose of the current study was (1) to externally validate the model and (2) to enhance the model’s clinical applicability. METHODS: Erythrocyte folate and SNPs were assessed in 91 early disease-modifying antirheumatic drug (DMARD)-naïve RA patients starting MTX in the external validation cohort (U-Act-Early). Insufficient response (DAS28 > 3.2) was determined after 3 months and non-response after 6 months of therapy. The previously developed prediction model was considered successfully validated in the U-Act-Early (validation cohort) if the area under the curve (AUC) of the receiver operating characteristic (ROC) was not significantly lower than in the tREACH (derivation cohort). RESULTS: The AUCs in U-Act-Early at three and 6 months were 0.75 (95% CI 0.64–0.85) and 0.71 (95% CI 0.60–0.82) respectively, similar to the tREACH. Baseline DAS28 > 5.1 and HAQ > 0.6 were the strongest predictors. The model was simplified by excluding the SNPs, while still classifying 73% correctly. Furthermore, interaction terms between BMI and HAQ and BMI and erythrocyte folate significantly improved the model increasing correct classification to 75%. Results were successfully implemented in Evidencio online platform assisting clinicians in shared decision-making to intensify treatment when appropriate. CONCLUSIONS: We successfully externally validated our recently reported prediction model for MTX non-response and enhanced its clinical application thus enabling its evaluation in a clinical trial. TRIAL REGISTRATION: The U-Act-Early is registered at ClinicalTrials.gov. number: NCT01034137. tREACH is registered retrospectively at ISRCTN registry, number: ISRCTN26791028 at 23 August 2007. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40744-020-00230-7) contains supplementary material, which is available to authorized users. Springer Healthcare 2020-09-14 /pmc/articles/PMC7695780/ /pubmed/32926395 http://dx.doi.org/10.1007/s40744-020-00230-7 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Gosselt, Helen R.
Verhoeven, Maxime M. A.
de Rotte, Maurits C. F. J.
Pluijm, Saskia M. F.
Muller, Ittai B.
Jansen, Gerrit
Tekstra, Janneke
Bulatović-Ćalasan, Maja
Heil, Sandra G.
Lafeber, Floris P. J. G.
Hazes, Johanna M. W.
de Jonge, Robert
Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio
title Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio
title_full Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio
title_fullStr Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio
title_full_unstemmed Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio
title_short Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio
title_sort validation of a prognostic multivariable prediction model for insufficient clinical response to methotrexate in early rheumatoid arthritis and its clinical application in evidencio
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695780/
https://www.ncbi.nlm.nih.gov/pubmed/32926395
http://dx.doi.org/10.1007/s40744-020-00230-7
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