Utility of the HandScan in monitoring disease activity and prediction of clinical response in rheumatoid arthritis patients: an explorative study

Abstract Objectives The aims were to determine the ability of the HandScan [assessing inflammation in hand and wrist joints using optical spectral transmission (OST)] to measure RA disease activity longitudinally, compared with DAS28, and to determine whether short-term (i.e. 1 month) changes in the...

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Veröffentlicht in:Rheumatology advances in practice 2021, Vol.5 (1), p.rkab004-rkab004
Hauptverfasser: Verhoeven, Maxime M A, Tekstra, Janneke, Marijnissen, Anne C A, Meier, Anna J L, Westgeest, Antonius A A, Lafeber, Floris P J G, Jacobs, Johannes W G, van Laar, Jacob M, Welsing, Paco M J
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container_end_page rkab004
container_issue 1
container_start_page rkab004
container_title Rheumatology advances in practice
container_volume 5
creator Verhoeven, Maxime M A
Tekstra, Janneke
Marijnissen, Anne C A
Meier, Anna J L
Westgeest, Antonius A A
Lafeber, Floris P J G
Jacobs, Johannes W G
van Laar, Jacob M
Welsing, Paco M J
description Abstract Objectives The aims were to determine the ability of the HandScan [assessing inflammation in hand and wrist joints using optical spectral transmission (OST)] to measure RA disease activity longitudinally, compared with DAS28, and to determine whether short-term (i.e. 1 month) changes in the OST score can predict treatment response at 3 or 6 months. Methods Participants visited the outpatient clinic before the start of (additional) RA medication and 1, 3 and 6 months thereafter. Disease activity was monitored at each visit with the HandScan and DAS28 in parallel. A mixed effects model with DAS28 as the outcome variable with a random intercept at patient level, visit month and DAS28 one visit earlier was used to evaluate whether changes in the OST score are related to changes in DAS28. Binary logistic regression was used to test the predictive value of short-term changes in the OST score together with the baseline OST score for achievement of treatment response (EULAR or ACR criteria). All models were adjusted for RA stage (early or established). Results In total, 64 RA patients were included. One unit change in OST score was found to be related to an average DAS28 change of 0.03 (95% CI: 0.01, 0.06, P = 0.03). When adding OST score as a variable in the longitudinal model, the ability of the model to estimate DAS28 (i.e. explained variance) increased by 2%, to 59%. Neither baseline OST score nor short-term change in OST score was predictive for treatment response at 3 or 6 months. Conclusion A longitudinal association of OST score with DAS28 exists, although explained variance is low. The predictive ability of short-term changes in HandScan for treatment response is limited.
doi_str_mv 10.1093/rap/rkab004
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Methods Participants visited the outpatient clinic before the start of (additional) RA medication and 1, 3 and 6 months thereafter. Disease activity was monitored at each visit with the HandScan and DAS28 in parallel. A mixed effects model with DAS28 as the outcome variable with a random intercept at patient level, visit month and DAS28 one visit earlier was used to evaluate whether changes in the OST score are related to changes in DAS28. Binary logistic regression was used to test the predictive value of short-term changes in the OST score together with the baseline OST score for achievement of treatment response (EULAR or ACR criteria). All models were adjusted for RA stage (early or established). Results In total, 64 RA patients were included. One unit change in OST score was found to be related to an average DAS28 change of 0.03 (95% CI: 0.01, 0.06, P = 0.03). When adding OST score as a variable in the longitudinal model, the ability of the model to estimate DAS28 (i.e. explained variance) increased by 2%, to 59%. Neither baseline OST score nor short-term change in OST score was predictive for treatment response at 3 or 6 months. Conclusion A longitudinal association of OST score with DAS28 exists, although explained variance is low. The predictive ability of short-term changes in HandScan for treatment response is limited.</description><identifier>ISSN: 2514-1775</identifier><identifier>EISSN: 2514-1775</identifier><identifier>DOI: 10.1093/rap/rkab004</identifier><identifier>PMID: 33693304</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Arthritis ; Clinics ; Comparative analysis ; Disease transmission ; Medical research ; Medicine, Experimental ; Original ; Prognosis ; Rheumatoid factor</subject><ispartof>Rheumatology advances in practice, 2021, Vol.5 (1), p.rkab004-rkab004</ispartof><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Rheumatology. 2021</rights><rights>The Author(s) 2021. 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Methods Participants visited the outpatient clinic before the start of (additional) RA medication and 1, 3 and 6 months thereafter. Disease activity was monitored at each visit with the HandScan and DAS28 in parallel. A mixed effects model with DAS28 as the outcome variable with a random intercept at patient level, visit month and DAS28 one visit earlier was used to evaluate whether changes in the OST score are related to changes in DAS28. Binary logistic regression was used to test the predictive value of short-term changes in the OST score together with the baseline OST score for achievement of treatment response (EULAR or ACR criteria). All models were adjusted for RA stage (early or established). Results In total, 64 RA patients were included. One unit change in OST score was found to be related to an average DAS28 change of 0.03 (95% CI: 0.01, 0.06, P = 0.03). When adding OST score as a variable in the longitudinal model, the ability of the model to estimate DAS28 (i.e. explained variance) increased by 2%, to 59%. Neither baseline OST score nor short-term change in OST score was predictive for treatment response at 3 or 6 months. Conclusion A longitudinal association of OST score with DAS28 exists, although explained variance is low. The predictive ability of short-term changes in HandScan for treatment response is limited.</description><subject>Arthritis</subject><subject>Clinics</subject><subject>Comparative analysis</subject><subject>Disease transmission</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Original</subject><subject>Prognosis</subject><subject>Rheumatoid factor</subject><issn>2514-1775</issn><issn>2514-1775</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><recordid>eNp9kl1rFDEUhoMottReeS8BQYSybb7mI14USqlWKHihvQ6ZJLN7dCYZk8zi_gz_sRl2LS2I5CLh5DkP58CL0GtKzimR_CLq6SL-0B0h4hk6ZhUVK9o01fNH7yN0mtJ3QggjknBKX6IjzmvJORHH6Pd9hgHyDoce543Dt9rbr0Z7DB6PwUMOEfwaW0hOJ4e1ybBd8ILhKToLpRD80m0G8GD0gKNLU_AFLoq4cfOocwCLdcybCBkSnnQG53P6UCzY_ZqGEEtl63DKs929Qi96PSR3erhP0P3Hm2_Xt6u7L58-X1_drQyXQqwYF8J11lImDGtrWbarZVvzqrK0Zy3rO0nqum0lo01nDLcVpYx2ldGttMJQfoIu995p7kZnTZko6kFNEUYddypoUE9_PGzUOmxVIzltZFME7w-CGH7OLmU1QjJuGLR3YU6KVYTwhgnJCvp2j6714BT4PhSjWXB11TRctkyQhTr_B1WOdSOY4F0Ppf6k4WzfYGJIKbr-YXpK1BIPVeKhDvEo9JvHCz-wf8NQgHd7IMzTf01_AO6Vxb4</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Verhoeven, Maxime M A</creator><creator>Tekstra, Janneke</creator><creator>Marijnissen, Anne C A</creator><creator>Meier, Anna J L</creator><creator>Westgeest, Antonius A A</creator><creator>Lafeber, Floris P J G</creator><creator>Jacobs, Johannes W G</creator><creator>van Laar, Jacob M</creator><creator>Welsing, Paco M J</creator><general>Oxford University Press</general><scope>TOX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5602-3856</orcidid></search><sort><creationdate>2021</creationdate><title>Utility of the HandScan in monitoring disease activity and prediction of clinical response in rheumatoid arthritis patients: an explorative study</title><author>Verhoeven, Maxime M A ; Tekstra, Janneke ; Marijnissen, Anne C A ; Meier, Anna J L ; Westgeest, Antonius A A ; Lafeber, Floris P J G ; Jacobs, Johannes W G ; van Laar, Jacob M ; Welsing, Paco M J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3944-2344ebdd124c28690206986355d1f282fb9066889217bcc3d51121b5ca89d4c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Arthritis</topic><topic>Clinics</topic><topic>Comparative analysis</topic><topic>Disease transmission</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Original</topic><topic>Prognosis</topic><topic>Rheumatoid factor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Verhoeven, Maxime M A</creatorcontrib><creatorcontrib>Tekstra, Janneke</creatorcontrib><creatorcontrib>Marijnissen, Anne C A</creatorcontrib><creatorcontrib>Meier, Anna J L</creatorcontrib><creatorcontrib>Westgeest, Antonius A A</creatorcontrib><creatorcontrib>Lafeber, Floris P J G</creatorcontrib><creatorcontrib>Jacobs, Johannes W G</creatorcontrib><creatorcontrib>van Laar, Jacob M</creatorcontrib><creatorcontrib>Welsing, Paco M J</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Rheumatology advances in practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Verhoeven, Maxime M A</au><au>Tekstra, Janneke</au><au>Marijnissen, Anne C A</au><au>Meier, Anna J L</au><au>Westgeest, Antonius A A</au><au>Lafeber, Floris P J G</au><au>Jacobs, Johannes W G</au><au>van Laar, Jacob M</au><au>Welsing, Paco M J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Utility of the HandScan in monitoring disease activity and prediction of clinical response in rheumatoid arthritis patients: an explorative study</atitle><jtitle>Rheumatology advances in practice</jtitle><addtitle>Rheumatol Adv Pract</addtitle><date>2021</date><risdate>2021</risdate><volume>5</volume><issue>1</issue><spage>rkab004</spage><epage>rkab004</epage><pages>rkab004-rkab004</pages><issn>2514-1775</issn><eissn>2514-1775</eissn><abstract>Abstract Objectives The aims were to determine the ability of the HandScan [assessing inflammation in hand and wrist joints using optical spectral transmission (OST)] to measure RA disease activity longitudinally, compared with DAS28, and to determine whether short-term (i.e. 1 month) changes in the OST score can predict treatment response at 3 or 6 months. Methods Participants visited the outpatient clinic before the start of (additional) RA medication and 1, 3 and 6 months thereafter. Disease activity was monitored at each visit with the HandScan and DAS28 in parallel. A mixed effects model with DAS28 as the outcome variable with a random intercept at patient level, visit month and DAS28 one visit earlier was used to evaluate whether changes in the OST score are related to changes in DAS28. Binary logistic regression was used to test the predictive value of short-term changes in the OST score together with the baseline OST score for achievement of treatment response (EULAR or ACR criteria). All models were adjusted for RA stage (early or established). Results In total, 64 RA patients were included. One unit change in OST score was found to be related to an average DAS28 change of 0.03 (95% CI: 0.01, 0.06, P = 0.03). When adding OST score as a variable in the longitudinal model, the ability of the model to estimate DAS28 (i.e. explained variance) increased by 2%, to 59%. Neither baseline OST score nor short-term change in OST score was predictive for treatment response at 3 or 6 months. Conclusion A longitudinal association of OST score with DAS28 exists, although explained variance is low. The predictive ability of short-term changes in HandScan for treatment response is limited.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>33693304</pmid><doi>10.1093/rap/rkab004</doi><orcidid>https://orcid.org/0000-0002-5602-3856</orcidid><oa>free_for_read</oa></addata></record>
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subjects Arthritis
Clinics
Comparative analysis
Disease transmission
Medical research
Medicine, Experimental
Original
Prognosis
Rheumatoid factor
title Utility of the HandScan in monitoring disease activity and prediction of clinical response in rheumatoid arthritis patients: an explorative study
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