Rheumatoid Factor Titer as an Indicator of the Risk of Rheumatoid Arthritis Activity: Dose-Effect Analysis with the Restricted Cubic Spline Model
Rheumatoid factor (RF) titer is known to be correlated to rheumatoid arthritis (RA) activity, but the ideal cut-off titer of RF remains unclear. Here, the relationship between RF titer and RA activity was investigated in order to determine the ideal RF value indicative of the risk of RA activity. Cl...
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| Veröffentlicht in: | Journal of inflammation research 2024-01, Vol.17, p.10699-10709 |
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| creator | Peng, Xin-Chen Yin, Ruoyanran Luo, Li-Ping Xu, Shengqian Shuai, Zongwen |
| description | Rheumatoid factor (RF) titer is known to be correlated to rheumatoid arthritis (RA) activity, but the ideal cut-off titer of RF remains unclear. Here, the relationship between RF titer and RA activity was investigated in order to determine the ideal RF value indicative of the risk of RA activity.
Clinical data from 2044 eligible patients were collected from the First Affiliated Hospital of Anhui Medical University from February 2022 to October 2023. A restricted cubic spline (RCS) model was used to evaluate the relationship between RF titer and RA activity.
Data from a total of 2044 patients with RA were collected and analyzed. Multivariate logistic regression analysis revealed that higher RF levels were significant predictors of the risk of RA activity calculated according to the disease activity score 28 (DAS28)-erythrocyte sedimentation rate (ESR) (OR = 2.020, 95% CI = 1.457-2.801, P < 0.001) and DAS28-C reactive protein (CRP) (OR = 1.526, 95% CI = 1.092-2.131, P = 0.013), after the results were adjusted for potential covariates. The relationship between log2RF and the risk of RA activity was non‑linear in the RCS model (P < 0.05). The cutoff value of RF titers for determining the risk of RA activity was 65.80 IU/mL. When RF exceeded the cutoff value, the risk of RA activity based on DAS28-ESR increased by 99.2% and the risk of RA activity based on DAS28-CRP increased by 62.8% (P < 0.001).
The risk of RA activity increased non-linearly with the continuous change in RF titer. |
| doi_str_mv | 10.2147/JIR.S488605 |
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Clinical data from 2044 eligible patients were collected from the First Affiliated Hospital of Anhui Medical University from February 2022 to October 2023. A restricted cubic spline (RCS) model was used to evaluate the relationship between RF titer and RA activity.
Data from a total of 2044 patients with RA were collected and analyzed. Multivariate logistic regression analysis revealed that higher RF levels were significant predictors of the risk of RA activity calculated according to the disease activity score 28 (DAS28)-erythrocyte sedimentation rate (ESR) (OR = 2.020, 95% CI = 1.457-2.801, P < 0.001) and DAS28-C reactive protein (CRP) (OR = 1.526, 95% CI = 1.092-2.131, P = 0.013), after the results were adjusted for potential covariates. The relationship between log2RF and the risk of RA activity was non‑linear in the RCS model (P < 0.05). The cutoff value of RF titers for determining the risk of RA activity was 65.80 IU/mL. When RF exceeded the cutoff value, the risk of RA activity based on DAS28-ESR increased by 99.2% and the risk of RA activity based on DAS28-CRP increased by 62.8% (P < 0.001).
The risk of RA activity increased non-linearly with the continuous change in RF titer.</description><identifier>ISSN: 1178-7031</identifier><identifier>EISSN: 1178-7031</identifier><identifier>DOI: 10.2147/JIR.S488605</identifier><identifier>PMID: 39677284</identifier><language>eng</language><publisher>New Zealand: Taylor & Francis Ltd</publisher><subject>Blood ; Body mass index ; C-reactive protein ; Diabetes ; Disease ; Drug dosages ; Erythrocyte sedimentation rate ; Medical research ; Original Research ; Patients ; Proteins ; Radio frequency ; Regression analysis ; Rheumatoid arthritis ; Rheumatoid factor ; Variables</subject><ispartof>Journal of inflammation research, 2024-01, Vol.17, p.10699-10709</ispartof><rights>2024 Peng et al.</rights><rights>2024. This work is licensed under https://creativecommons.org/licenses/by-nc/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Peng et al. 2024 Peng et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11645955/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11645955/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39677284$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peng, Xin-Chen</creatorcontrib><creatorcontrib>Yin, Ruoyanran</creatorcontrib><creatorcontrib>Luo, Li-Ping</creatorcontrib><creatorcontrib>Xu, Shengqian</creatorcontrib><creatorcontrib>Shuai, Zongwen</creatorcontrib><title>Rheumatoid Factor Titer as an Indicator of the Risk of Rheumatoid Arthritis Activity: Dose-Effect Analysis with the Restricted Cubic Spline Model</title><title>Journal of inflammation research</title><addtitle>J Inflamm Res</addtitle><description>Rheumatoid factor (RF) titer is known to be correlated to rheumatoid arthritis (RA) activity, but the ideal cut-off titer of RF remains unclear. Here, the relationship between RF titer and RA activity was investigated in order to determine the ideal RF value indicative of the risk of RA activity.
Clinical data from 2044 eligible patients were collected from the First Affiliated Hospital of Anhui Medical University from February 2022 to October 2023. A restricted cubic spline (RCS) model was used to evaluate the relationship between RF titer and RA activity.
Data from a total of 2044 patients with RA were collected and analyzed. Multivariate logistic regression analysis revealed that higher RF levels were significant predictors of the risk of RA activity calculated according to the disease activity score 28 (DAS28)-erythrocyte sedimentation rate (ESR) (OR = 2.020, 95% CI = 1.457-2.801, P < 0.001) and DAS28-C reactive protein (CRP) (OR = 1.526, 95% CI = 1.092-2.131, P = 0.013), after the results were adjusted for potential covariates. The relationship between log2RF and the risk of RA activity was non‑linear in the RCS model (P < 0.05). The cutoff value of RF titers for determining the risk of RA activity was 65.80 IU/mL. When RF exceeded the cutoff value, the risk of RA activity based on DAS28-ESR increased by 99.2% and the risk of RA activity based on DAS28-CRP increased by 62.8% (P < 0.001).
The risk of RA activity increased non-linearly with the continuous change in RF titer.</description><subject>Blood</subject><subject>Body mass index</subject><subject>C-reactive protein</subject><subject>Diabetes</subject><subject>Disease</subject><subject>Drug dosages</subject><subject>Erythrocyte sedimentation rate</subject><subject>Medical research</subject><subject>Original Research</subject><subject>Patients</subject><subject>Proteins</subject><subject>Radio frequency</subject><subject>Regression analysis</subject><subject>Rheumatoid arthritis</subject><subject>Rheumatoid factor</subject><subject>Variables</subject><issn>1178-7031</issn><issn>1178-7031</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdUU1v1DAQjRCIVqUn7sgSFy4p8Uf8wQWtlrYsKkLalnM0sSfEJRsvtlO0P4N_3CwtaGEuM5r35unNTFG8pNUZo0K9_bRan10LrWVVPymOKVW6VBWnTw_qo-I0pdtqH6oSTDwvjriRSjEtjotf6x6nDeTgHbkAm0MkNz5jJJAIjGQ1Om9h3w0dyT2StU_f9_XB2CLmPvrsE1nY7O983r0jH0LC8rzr0GayGGHYpRn-6XP_IIIpR28zOrKcWm_J9XbwI5LPweHwonjWwZDw9DGfFF8vzm-WH8urL5er5eKq3DLJcinryqCQ0om2ZdqABOSydpUE07XMOS4FUg3ADXOA0oLotJIGjRJQWQ78pHj_oLud2g06i2OOMDTb6DcQd00A3_yLjL5vvoW7hlIpalPXs8KbR4UYfkzzTs3GJ4vDACOGKTWcCqmFEYrO1Nf_UW_DFOfD_GbVimsm9qxXh5b-evnzLn4PT_yZSA</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Peng, Xin-Chen</creator><creator>Yin, Ruoyanran</creator><creator>Luo, Li-Ping</creator><creator>Xu, Shengqian</creator><creator>Shuai, Zongwen</creator><general>Taylor & Francis Ltd</general><general>Dove</general><scope>NPM</scope><scope>3V.</scope><scope>7RV</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>KB0</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20240101</creationdate><title>Rheumatoid Factor Titer as an Indicator of the Risk of Rheumatoid Arthritis Activity: Dose-Effect Analysis with the Restricted Cubic Spline Model</title><author>Peng, Xin-Chen ; Yin, Ruoyanran ; Luo, Li-Ping ; Xu, Shengqian ; Shuai, Zongwen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p262t-6509e466d4bb289a6ae365d06a9fb2dd364e18aa392dae6ca4f8769e974a0c3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Blood</topic><topic>Body mass index</topic><topic>C-reactive protein</topic><topic>Diabetes</topic><topic>Disease</topic><topic>Drug dosages</topic><topic>Erythrocyte sedimentation rate</topic><topic>Medical research</topic><topic>Original Research</topic><topic>Patients</topic><topic>Proteins</topic><topic>Radio frequency</topic><topic>Regression analysis</topic><topic>Rheumatoid arthritis</topic><topic>Rheumatoid factor</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Xin-Chen</creatorcontrib><creatorcontrib>Yin, Ruoyanran</creatorcontrib><creatorcontrib>Luo, Li-Ping</creatorcontrib><creatorcontrib>Xu, Shengqian</creatorcontrib><creatorcontrib>Shuai, Zongwen</creatorcontrib><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of inflammation research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peng, Xin-Chen</au><au>Yin, Ruoyanran</au><au>Luo, Li-Ping</au><au>Xu, Shengqian</au><au>Shuai, Zongwen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rheumatoid Factor Titer as an Indicator of the Risk of Rheumatoid Arthritis Activity: Dose-Effect Analysis with the Restricted Cubic Spline Model</atitle><jtitle>Journal of inflammation research</jtitle><addtitle>J Inflamm Res</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>17</volume><spage>10699</spage><epage>10709</epage><pages>10699-10709</pages><issn>1178-7031</issn><eissn>1178-7031</eissn><abstract>Rheumatoid factor (RF) titer is known to be correlated to rheumatoid arthritis (RA) activity, but the ideal cut-off titer of RF remains unclear. Here, the relationship between RF titer and RA activity was investigated in order to determine the ideal RF value indicative of the risk of RA activity.
Clinical data from 2044 eligible patients were collected from the First Affiliated Hospital of Anhui Medical University from February 2022 to October 2023. A restricted cubic spline (RCS) model was used to evaluate the relationship between RF titer and RA activity.
Data from a total of 2044 patients with RA were collected and analyzed. Multivariate logistic regression analysis revealed that higher RF levels were significant predictors of the risk of RA activity calculated according to the disease activity score 28 (DAS28)-erythrocyte sedimentation rate (ESR) (OR = 2.020, 95% CI = 1.457-2.801, P < 0.001) and DAS28-C reactive protein (CRP) (OR = 1.526, 95% CI = 1.092-2.131, P = 0.013), after the results were adjusted for potential covariates. The relationship between log2RF and the risk of RA activity was non‑linear in the RCS model (P < 0.05). The cutoff value of RF titers for determining the risk of RA activity was 65.80 IU/mL. When RF exceeded the cutoff value, the risk of RA activity based on DAS28-ESR increased by 99.2% and the risk of RA activity based on DAS28-CRP increased by 62.8% (P < 0.001).
The risk of RA activity increased non-linearly with the continuous change in RF titer.</abstract><cop>New Zealand</cop><pub>Taylor & Francis Ltd</pub><pmid>39677284</pmid><doi>10.2147/JIR.S488605</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Blood Body mass index C-reactive protein Diabetes Disease Drug dosages Erythrocyte sedimentation rate Medical research Original Research Patients Proteins Radio frequency Regression analysis Rheumatoid arthritis Rheumatoid factor Variables |
| title | Rheumatoid Factor Titer as an Indicator of the Risk of Rheumatoid Arthritis Activity: Dose-Effect Analysis with the Restricted Cubic Spline Model |
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