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Validation of methods for converting the original Disease Activity Score (DAS) to the DAS28
The Disease Activity Score (DAS) is integral in tailoring the clinical management of rheumatoid arthritis (RA) patients and is an important measure in clinical research. Different versions have been developed over the years to improve reliability and ease of use. Combining the original DAS and the n...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223857/ https://www.ncbi.nlm.nih.gov/pubmed/30368562 http://dx.doi.org/10.1007/s00296-018-4184-0 |
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author | Carpenter, Lewis Norton, Sam Nikiphorou, Elena Kiely, Patrick Walsh, David A. Dixey, Josh Young, Adam |
author_facet | Carpenter, Lewis Norton, Sam Nikiphorou, Elena Kiely, Patrick Walsh, David A. Dixey, Josh Young, Adam |
author_sort | Carpenter, Lewis |
collection | PubMed |
description | The Disease Activity Score (DAS) is integral in tailoring the clinical management of rheumatoid arthritis (RA) patients and is an important measure in clinical research. Different versions have been developed over the years to improve reliability and ease of use. Combining the original DAS and the newer DAS28 data in both contemporary and historical studies is important for both primary and secondary data analyses. As such, a methodologically robust means of converting the old DAS to the new DAS28 measure would be invaluable. Using data from The Early RA Study (ERAS), a sub-sample of patients with both DAS and DAS28 data were used to develop new regression imputation formulas using the total DAS score (univariate), and using the separate components of the DAS score (multivariate). DAS were transformed to DAS28 using an existing formula quoted in the literature, and the newly developed formulas. Bland and Altman plots were used to compare the transformed DAS with the recorded DAS28 to ascertain levels of agreement. The current transformation formula tended to overestimate the true DAS28 score, particularly at the higher end of the scale. A formula which uses all separate components of the DAS was found to estimate the scores with a higher level of precision. A new formula is proposed that can be used by other early RA cohorts to convert the original DAS to DAS28. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00296-018-4184-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6223857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-62238572018-11-19 Validation of methods for converting the original Disease Activity Score (DAS) to the DAS28 Carpenter, Lewis Norton, Sam Nikiphorou, Elena Kiely, Patrick Walsh, David A. Dixey, Josh Young, Adam Rheumatol Int Validation Studies The Disease Activity Score (DAS) is integral in tailoring the clinical management of rheumatoid arthritis (RA) patients and is an important measure in clinical research. Different versions have been developed over the years to improve reliability and ease of use. Combining the original DAS and the newer DAS28 data in both contemporary and historical studies is important for both primary and secondary data analyses. As such, a methodologically robust means of converting the old DAS to the new DAS28 measure would be invaluable. Using data from The Early RA Study (ERAS), a sub-sample of patients with both DAS and DAS28 data were used to develop new regression imputation formulas using the total DAS score (univariate), and using the separate components of the DAS score (multivariate). DAS were transformed to DAS28 using an existing formula quoted in the literature, and the newly developed formulas. Bland and Altman plots were used to compare the transformed DAS with the recorded DAS28 to ascertain levels of agreement. The current transformation formula tended to overestimate the true DAS28 score, particularly at the higher end of the scale. A formula which uses all separate components of the DAS was found to estimate the scores with a higher level of precision. A new formula is proposed that can be used by other early RA cohorts to convert the original DAS to DAS28. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00296-018-4184-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-10-27 2018 /pmc/articles/PMC6223857/ /pubmed/30368562 http://dx.doi.org/10.1007/s00296-018-4184-0 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Validation Studies Carpenter, Lewis Norton, Sam Nikiphorou, Elena Kiely, Patrick Walsh, David A. Dixey, Josh Young, Adam Validation of methods for converting the original Disease Activity Score (DAS) to the DAS28 |
title | Validation of methods for converting the original Disease Activity Score (DAS) to the DAS28 |
title_full | Validation of methods for converting the original Disease Activity Score (DAS) to the DAS28 |
title_fullStr | Validation of methods for converting the original Disease Activity Score (DAS) to the DAS28 |
title_full_unstemmed | Validation of methods for converting the original Disease Activity Score (DAS) to the DAS28 |
title_short | Validation of methods for converting the original Disease Activity Score (DAS) to the DAS28 |
title_sort | validation of methods for converting the original disease activity score (das) to the das28 |
topic | Validation Studies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223857/ https://www.ncbi.nlm.nih.gov/pubmed/30368562 http://dx.doi.org/10.1007/s00296-018-4184-0 |
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