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Global health in axial spondyloarthritis: thresholds for the Assessment of SpondyloArthritis international Society Health Index and the EuroQol score: analysis of the ASAS-PerSpA study
In axial spondyloarthritis (axSpA), patient-perceived quality of life/global functioning and health (GH) can be assessed using disease-specific [Assessment of SpondyloArthrit is international Society Health Index (ASAS-HI)] or generic [(3-level EuroQol 5 Dimensions (EQ-5D-3L)] scores. Our objectives...
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Published in: | Scandinavian journal of rheumatology 2024-12, p.1 |
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creator | Drouet, Jms López-Medina, C Molto, A Granger, B Fautrel, B Gaujoux-Viala, C Kiltz, U Dougados, M Gossec, L |
description | In axial spondyloarthritis (axSpA), patient-perceived quality of life/global functioning and health (GH) can be assessed using disease-specific [Assessment of SpondyloArthrit is international Society Health Index (ASAS-HI)] or generic [(3-level EuroQol 5 Dimensions (EQ-5D-3L)] scores. Our objectives were to explore the link between these scores and to define thresholds for good and poor GH.
We conducted a post-hoc analysis of the cross-sectional ASAS-PerSpA study for patients fulfilling ASAS criteria for axSpA. The ASAS-HI and EQ-5D scores were analysed visually (distribution, scatterplot) and through Spearman correlation and agreement (deciles). To determine cut-offs for good and poor GH on EQ-5D based on the validated ≤5 and ≥12 cut-offs for ASAS-HI, respectively, receiver operating characteristics (ROC) curves and distribution-based methods were applied. Validity was assessed using crude concordance and prevalence-adjusted bias-adjusted kappa; discordance between groups was explored.
In 2651 patients (median age 41.0 years, 66.5% men), the correlation between ASAS-HI and EQ-5D was high (r = -0.73) and agreement (between deciles) was moderate (weighted kappa = 0.51). Both ROC areas under the curve were 0.86; thresholds of 0.69 and 0.54 for EQ-5D were chosen for good and poor GH, respectively. Crude concordances and agreement were satisfactory (0.80-0.81 and 0.60-0.61, respectively). The EQ-5D cut-off for good GH performed better than that for poor GH.
ASAS-HI and EQ-5D were highly correlated but did not fully overlap. We propose EQ-5D thresholds corresponding to the ASAS-HI thresholds for good and poor GH; however, caution is needed when assessing poor GH with EQ-5D. These findings will be useful to compare GH when only one of the outcome measures is available. |
doi_str_mv | 10.1080/03009742.2024.2424085 |
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We conducted a post-hoc analysis of the cross-sectional ASAS-PerSpA study for patients fulfilling ASAS criteria for axSpA. The ASAS-HI and EQ-5D scores were analysed visually (distribution, scatterplot) and through Spearman correlation and agreement (deciles). To determine cut-offs for good and poor GH on EQ-5D based on the validated ≤5 and ≥12 cut-offs for ASAS-HI, respectively, receiver operating characteristics (ROC) curves and distribution-based methods were applied. Validity was assessed using crude concordance and prevalence-adjusted bias-adjusted kappa; discordance between groups was explored.
In 2651 patients (median age 41.0 years, 66.5% men), the correlation between ASAS-HI and EQ-5D was high (r = -0.73) and agreement (between deciles) was moderate (weighted kappa = 0.51). Both ROC areas under the curve were 0.86; thresholds of 0.69 and 0.54 for EQ-5D were chosen for good and poor GH, respectively. Crude concordances and agreement were satisfactory (0.80-0.81 and 0.60-0.61, respectively). The EQ-5D cut-off for good GH performed better than that for poor GH.
ASAS-HI and EQ-5D were highly correlated but did not fully overlap. We propose EQ-5D thresholds corresponding to the ASAS-HI thresholds for good and poor GH; however, caution is needed when assessing poor GH with EQ-5D. These findings will be useful to compare GH when only one of the outcome measures is available.</description><identifier>ISSN: 1502-7732</identifier><identifier>EISSN: 1502-7732</identifier><identifier>DOI: 10.1080/03009742.2024.2424085</identifier><identifier>PMID: 39679471</identifier><language>eng</language><publisher>England</publisher><ispartof>Scandinavian journal of rheumatology, 2024-12, p.1</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0003-3009-6229 ; 0000-0003-2246-1986 ; 0000-0002-4528-310X ; 0000-0002-2099-6496 ; 0000-0001-8845-4274 ; 0000-0002-4164-6022 ; 0000-0001-5668-4497 ; 0000-0002-2309-5837 ; 0000-0002-1903-7212</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39679471$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Drouet, Jms</creatorcontrib><creatorcontrib>López-Medina, C</creatorcontrib><creatorcontrib>Molto, A</creatorcontrib><creatorcontrib>Granger, B</creatorcontrib><creatorcontrib>Fautrel, B</creatorcontrib><creatorcontrib>Gaujoux-Viala, C</creatorcontrib><creatorcontrib>Kiltz, U</creatorcontrib><creatorcontrib>Dougados, M</creatorcontrib><creatorcontrib>Gossec, L</creatorcontrib><title>Global health in axial spondyloarthritis: thresholds for the Assessment of SpondyloArthritis international Society Health Index and the EuroQol score: analysis of the ASAS-PerSpA study</title><title>Scandinavian journal of rheumatology</title><addtitle>Scand J Rheumatol</addtitle><description>In axial spondyloarthritis (axSpA), patient-perceived quality of life/global functioning and health (GH) can be assessed using disease-specific [Assessment of SpondyloArthrit is international Society Health Index (ASAS-HI)] or generic [(3-level EuroQol 5 Dimensions (EQ-5D-3L)] scores. Our objectives were to explore the link between these scores and to define thresholds for good and poor GH.
We conducted a post-hoc analysis of the cross-sectional ASAS-PerSpA study for patients fulfilling ASAS criteria for axSpA. The ASAS-HI and EQ-5D scores were analysed visually (distribution, scatterplot) and through Spearman correlation and agreement (deciles). To determine cut-offs for good and poor GH on EQ-5D based on the validated ≤5 and ≥12 cut-offs for ASAS-HI, respectively, receiver operating characteristics (ROC) curves and distribution-based methods were applied. Validity was assessed using crude concordance and prevalence-adjusted bias-adjusted kappa; discordance between groups was explored.
In 2651 patients (median age 41.0 years, 66.5% men), the correlation between ASAS-HI and EQ-5D was high (r = -0.73) and agreement (between deciles) was moderate (weighted kappa = 0.51). Both ROC areas under the curve were 0.86; thresholds of 0.69 and 0.54 for EQ-5D were chosen for good and poor GH, respectively. Crude concordances and agreement were satisfactory (0.80-0.81 and 0.60-0.61, respectively). The EQ-5D cut-off for good GH performed better than that for poor GH.
ASAS-HI and EQ-5D were highly correlated but did not fully overlap. We propose EQ-5D thresholds corresponding to the ASAS-HI thresholds for good and poor GH; however, caution is needed when assessing poor GH with EQ-5D. These findings will be useful to compare GH when only one of the outcome measures is available.</description><issn>1502-7732</issn><issn>1502-7732</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpNkN1KxDAQhYMorn-PoOTSm65J06bp3hVZd4UFlXq_pM2ErWSbmqRg38zHM-gueDVnZs58BwahW0rmlAjyQBghZZGl85Sk2TzN0oyI_ARd0JykSVGw9PSfnqFL7z8IIVlZlOdoxkpelFlBL9D3ythGGrwDacIOdz2WX13s_WB7NRkrXdi5LnR-gaMAv7NGeaytiy3gynvwfg99wFbj-nBTHW8iLoDrZehsH5m1bTsIE17_ZT33Cr6w7NUvajk6-2ZjcGsdLOJYmslHROT-JtVVnbyCq4cK-zCq6RqdaWk83BzqFXp_Wr4_rpPNy-r5sdokQ85pUlJeaFYwQQQlvNVMq1QwKkSrNG2YzgXlnJcNlFwB4VTpBnJO2lzHRTSwK3T_hx2c_RzBh-2-8y0YI3uwo98ymnGRs8iI1ruDdWz2oLaD6_bSTdvjs9kPDSGFjA</recordid><startdate>20241216</startdate><enddate>20241216</enddate><creator>Drouet, Jms</creator><creator>López-Medina, C</creator><creator>Molto, A</creator><creator>Granger, B</creator><creator>Fautrel, B</creator><creator>Gaujoux-Viala, C</creator><creator>Kiltz, U</creator><creator>Dougados, M</creator><creator>Gossec, L</creator><scope>NPM</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3009-6229</orcidid><orcidid>https://orcid.org/0000-0003-2246-1986</orcidid><orcidid>https://orcid.org/0000-0002-4528-310X</orcidid><orcidid>https://orcid.org/0000-0002-2099-6496</orcidid><orcidid>https://orcid.org/0000-0001-8845-4274</orcidid><orcidid>https://orcid.org/0000-0002-4164-6022</orcidid><orcidid>https://orcid.org/0000-0001-5668-4497</orcidid><orcidid>https://orcid.org/0000-0002-2309-5837</orcidid><orcidid>https://orcid.org/0000-0002-1903-7212</orcidid></search><sort><creationdate>20241216</creationdate><title>Global health in axial spondyloarthritis: thresholds for the Assessment of SpondyloArthritis international Society Health Index and the EuroQol score: analysis of the ASAS-PerSpA study</title><author>Drouet, Jms ; López-Medina, C ; Molto, A ; Granger, B ; Fautrel, B ; Gaujoux-Viala, C ; Kiltz, U ; Dougados, M ; Gossec, L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p561-9167f373808106cf3fd283188cdf1b3f5816669be96de061dfbe560c5f8161b33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Drouet, Jms</creatorcontrib><creatorcontrib>López-Medina, C</creatorcontrib><creatorcontrib>Molto, A</creatorcontrib><creatorcontrib>Granger, B</creatorcontrib><creatorcontrib>Fautrel, B</creatorcontrib><creatorcontrib>Gaujoux-Viala, C</creatorcontrib><creatorcontrib>Kiltz, U</creatorcontrib><creatorcontrib>Dougados, M</creatorcontrib><creatorcontrib>Gossec, L</creatorcontrib><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Scandinavian journal of rheumatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Drouet, Jms</au><au>López-Medina, C</au><au>Molto, A</au><au>Granger, B</au><au>Fautrel, B</au><au>Gaujoux-Viala, C</au><au>Kiltz, U</au><au>Dougados, M</au><au>Gossec, L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global health in axial spondyloarthritis: thresholds for the Assessment of SpondyloArthritis international Society Health Index and the EuroQol score: analysis of the ASAS-PerSpA study</atitle><jtitle>Scandinavian journal of rheumatology</jtitle><addtitle>Scand J Rheumatol</addtitle><date>2024-12-16</date><risdate>2024</risdate><spage>1</spage><pages>1-</pages><issn>1502-7732</issn><eissn>1502-7732</eissn><abstract>In axial spondyloarthritis (axSpA), patient-perceived quality of life/global functioning and health (GH) can be assessed using disease-specific [Assessment of SpondyloArthrit is international Society Health Index (ASAS-HI)] or generic [(3-level EuroQol 5 Dimensions (EQ-5D-3L)] scores. Our objectives were to explore the link between these scores and to define thresholds for good and poor GH.
We conducted a post-hoc analysis of the cross-sectional ASAS-PerSpA study for patients fulfilling ASAS criteria for axSpA. The ASAS-HI and EQ-5D scores were analysed visually (distribution, scatterplot) and through Spearman correlation and agreement (deciles). To determine cut-offs for good and poor GH on EQ-5D based on the validated ≤5 and ≥12 cut-offs for ASAS-HI, respectively, receiver operating characteristics (ROC) curves and distribution-based methods were applied. Validity was assessed using crude concordance and prevalence-adjusted bias-adjusted kappa; discordance between groups was explored.
In 2651 patients (median age 41.0 years, 66.5% men), the correlation between ASAS-HI and EQ-5D was high (r = -0.73) and agreement (between deciles) was moderate (weighted kappa = 0.51). Both ROC areas under the curve were 0.86; thresholds of 0.69 and 0.54 for EQ-5D were chosen for good and poor GH, respectively. Crude concordances and agreement were satisfactory (0.80-0.81 and 0.60-0.61, respectively). The EQ-5D cut-off for good GH performed better than that for poor GH.
ASAS-HI and EQ-5D were highly correlated but did not fully overlap. We propose EQ-5D thresholds corresponding to the ASAS-HI thresholds for good and poor GH; however, caution is needed when assessing poor GH with EQ-5D. These findings will be useful to compare GH when only one of the outcome measures is available.</abstract><cop>England</cop><pmid>39679471</pmid><doi>10.1080/03009742.2024.2424085</doi><orcidid>https://orcid.org/0000-0003-3009-6229</orcidid><orcidid>https://orcid.org/0000-0003-2246-1986</orcidid><orcidid>https://orcid.org/0000-0002-4528-310X</orcidid><orcidid>https://orcid.org/0000-0002-2099-6496</orcidid><orcidid>https://orcid.org/0000-0001-8845-4274</orcidid><orcidid>https://orcid.org/0000-0002-4164-6022</orcidid><orcidid>https://orcid.org/0000-0001-5668-4497</orcidid><orcidid>https://orcid.org/0000-0002-2309-5837</orcidid><orcidid>https://orcid.org/0000-0002-1903-7212</orcidid></addata></record> |
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title | Global health in axial spondyloarthritis: thresholds for the Assessment of SpondyloArthritis international Society Health Index and the EuroQol score: analysis of the ASAS-PerSpA study |
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