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PAPRIKA: A Question Bank for Assessing Psoriatic Arthritis Risk in Individuals of Diverse Ancestries
Objective We aimed to create a question bank about clinical factors for predicting the diagnoses of psoriatic arthritis in patients with psoriasis of various ancestries and skin tones, which can be completed entirely by patients. Methods Utah Psoriasis Initiative participants without a psoriatic art...
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| Published in: | Arthritis care & research (2010) 2024-03, Vol.76 (3), p.421-425 |
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| Main Authors: | , , , , , |
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| container_end_page | 425 |
| container_issue | 3 |
| container_start_page | 421 |
| container_title | Arthritis care & research (2010) |
| container_volume | 76 |
| creator | Walsh, Jessica A. Carroll, Courtney Callis Duffin, Kristina Wang, Jing Krueger, Gerald G. Feng, Bing‐Jian |
| description | Objective
We aimed to create a question bank about clinical factors for predicting the diagnoses of psoriatic arthritis in patients with psoriasis of various ancestries and skin tones, which can be completed entirely by patients.
Methods
Utah Psoriasis Initiative participants without a psoriatic arthritis diagnosis at enrollment were observed for diagnosis during the study period. We inferred ancestry from exome sequencing data and performed Cox proportional hazards regression to identify clinical predictors of psoriatic arthritis in different ancestry groups. Based on results and literature review, we developed a question bank for assessing psoriatic arthritis risk among patients with psoriasis in various ancestries.
Results
Patient‐reported untreated psoriasis induration and history of fingernail psoriasis were associated with psoriatic arthritis in participants of European and non‐European ancestry. We developed the Psoriatic Arthritis Prediction and Identification Question Bank for Diverse Ancestries (PAPRIKA) version 1.0, which included questions regarding psoriasis characteristics, arthritis symptoms, comorbidities, family history, and demographics. PAPRIKA is accessible at http://bjfenglab.org/.
Conclusion
The clinical features (untreated psoriasis induration and history of fingernail psoriasis) that can predict psoriatic arthritis in European individuals also work for non‐European individuals. PAPRIKA can be used to gather psoriatic arthritis predictive data from patients with psoriasis without provider assistance and is relevant for patients across ancestries. |
| doi_str_mv | 10.1002/acr.25232 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2863765900</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2931508890</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3132-7228f805f0bbecc3ea9d8cf57b10c99b3baed84017378a922dc8b28b2b95fd673</originalsourceid><addsrcrecordid>eNp1kE1LwzAYgIMoOqYH_4AEvOihMx9rm3ir82soOIeCt5CmqcZt7czbKv57Mzs9CIZAAnl4yPsgtE_JgBLCTrTxAxYzzjZQj9GYRsMkFpu_9-HTDtoDeCVhcSYEl9toh6eJpCwRPVRMssl0fJOd4gzftxYaV1f4TFczXNYeZwAWwFXPeAK1d7pxBme-efGucYCnDmbYVXhcFe7dFa2eA65LfO7erQeLs8oEn3cWdtFWGR7t3vrso8fLi4fRdXR7dzUeZbeR4ZSzKGVMlILEJclzawy3WhbClHGaU2KkzHmubSGGhKY8FVoyVhiRs7BzGZdFkvI-Ouq8S1-_rYZRCwfGzue6snULiokkTB7LUKKPDv-gr3Xrq_A7xSSnMRFCrqjjjjK-BvC2VEvvFtp_KkrUqr4K9dV3_cAerI1tvrDFL_nTOgAnHfDh5vbzf5PKRtNO-QXouozV</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2931508890</pqid></control><display><type>article</type><title>PAPRIKA: A Question Bank for Assessing Psoriatic Arthritis Risk in Individuals of Diverse Ancestries</title><source>Wiley</source><creator>Walsh, Jessica A. ; Carroll, Courtney ; Callis Duffin, Kristina ; Wang, Jing ; Krueger, Gerald G. ; Feng, Bing‐Jian</creator><creatorcontrib>Walsh, Jessica A. ; Carroll, Courtney ; Callis Duffin, Kristina ; Wang, Jing ; Krueger, Gerald G. ; Feng, Bing‐Jian</creatorcontrib><description>Objective
We aimed to create a question bank about clinical factors for predicting the diagnoses of psoriatic arthritis in patients with psoriasis of various ancestries and skin tones, which can be completed entirely by patients.
Methods
Utah Psoriasis Initiative participants without a psoriatic arthritis diagnosis at enrollment were observed for diagnosis during the study period. We inferred ancestry from exome sequencing data and performed Cox proportional hazards regression to identify clinical predictors of psoriatic arthritis in different ancestry groups. Based on results and literature review, we developed a question bank for assessing psoriatic arthritis risk among patients with psoriasis in various ancestries.
Results
Patient‐reported untreated psoriasis induration and history of fingernail psoriasis were associated with psoriatic arthritis in participants of European and non‐European ancestry. We developed the Psoriatic Arthritis Prediction and Identification Question Bank for Diverse Ancestries (PAPRIKA) version 1.0, which included questions regarding psoriasis characteristics, arthritis symptoms, comorbidities, family history, and demographics. PAPRIKA is accessible at http://bjfenglab.org/.
Conclusion
The clinical features (untreated psoriasis induration and history of fingernail psoriasis) that can predict psoriatic arthritis in European individuals also work for non‐European individuals. PAPRIKA can be used to gather psoriatic arthritis predictive data from patients with psoriasis without provider assistance and is relevant for patients across ancestries.</description><identifier>ISSN: 2151-464X</identifier><identifier>EISSN: 2151-4658</identifier><identifier>DOI: 10.1002/acr.25232</identifier><identifier>PMID: 37691268</identifier><language>eng</language><publisher>Boston, USA: Wiley Periodicals, Inc</publisher><subject>Arthritis, Psoriatic - diagnosis ; Arthritis, Psoriatic - drug therapy ; Arthritis, Psoriatic - epidemiology ; Capsicum ; Comorbidity ; Diagnosis ; Fingernail ; Genealogy ; Humans ; Literature reviews ; Psoriasis ; Psoriasis - diagnosis ; Psoriasis - drug therapy ; Psoriasis - epidemiology ; Psoriatic arthritis</subject><ispartof>Arthritis care & research (2010), 2024-03, Vol.76 (3), p.421-425</ispartof><rights>2023 American College of Rheumatology</rights><rights>2023 American College of Rheumatology.</rights><rights>2024 American College of Rheumatology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3132-7228f805f0bbecc3ea9d8cf57b10c99b3baed84017378a922dc8b28b2b95fd673</cites><orcidid>0000-0002-4563-0845 ; 0000-0003-4906-549X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Facr.25232$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Facr.25232$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,786,790,27957,27958,50923,51032</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37691268$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Walsh, Jessica A.</creatorcontrib><creatorcontrib>Carroll, Courtney</creatorcontrib><creatorcontrib>Callis Duffin, Kristina</creatorcontrib><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Krueger, Gerald G.</creatorcontrib><creatorcontrib>Feng, Bing‐Jian</creatorcontrib><title>PAPRIKA: A Question Bank for Assessing Psoriatic Arthritis Risk in Individuals of Diverse Ancestries</title><title>Arthritis care & research (2010)</title><addtitle>Arthritis Care Res (Hoboken)</addtitle><description>Objective
We aimed to create a question bank about clinical factors for predicting the diagnoses of psoriatic arthritis in patients with psoriasis of various ancestries and skin tones, which can be completed entirely by patients.
Methods
Utah Psoriasis Initiative participants without a psoriatic arthritis diagnosis at enrollment were observed for diagnosis during the study period. We inferred ancestry from exome sequencing data and performed Cox proportional hazards regression to identify clinical predictors of psoriatic arthritis in different ancestry groups. Based on results and literature review, we developed a question bank for assessing psoriatic arthritis risk among patients with psoriasis in various ancestries.
Results
Patient‐reported untreated psoriasis induration and history of fingernail psoriasis were associated with psoriatic arthritis in participants of European and non‐European ancestry. We developed the Psoriatic Arthritis Prediction and Identification Question Bank for Diverse Ancestries (PAPRIKA) version 1.0, which included questions regarding psoriasis characteristics, arthritis symptoms, comorbidities, family history, and demographics. PAPRIKA is accessible at http://bjfenglab.org/.
Conclusion
The clinical features (untreated psoriasis induration and history of fingernail psoriasis) that can predict psoriatic arthritis in European individuals also work for non‐European individuals. PAPRIKA can be used to gather psoriatic arthritis predictive data from patients with psoriasis without provider assistance and is relevant for patients across ancestries.</description><subject>Arthritis, Psoriatic - diagnosis</subject><subject>Arthritis, Psoriatic - drug therapy</subject><subject>Arthritis, Psoriatic - epidemiology</subject><subject>Capsicum</subject><subject>Comorbidity</subject><subject>Diagnosis</subject><subject>Fingernail</subject><subject>Genealogy</subject><subject>Humans</subject><subject>Literature reviews</subject><subject>Psoriasis</subject><subject>Psoriasis - diagnosis</subject><subject>Psoriasis - drug therapy</subject><subject>Psoriasis - epidemiology</subject><subject>Psoriatic arthritis</subject><issn>2151-464X</issn><issn>2151-4658</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LwzAYgIMoOqYH_4AEvOihMx9rm3ir82soOIeCt5CmqcZt7czbKv57Mzs9CIZAAnl4yPsgtE_JgBLCTrTxAxYzzjZQj9GYRsMkFpu_9-HTDtoDeCVhcSYEl9toh6eJpCwRPVRMssl0fJOd4gzftxYaV1f4TFczXNYeZwAWwFXPeAK1d7pxBme-efGucYCnDmbYVXhcFe7dFa2eA65LfO7erQeLs8oEn3cWdtFWGR7t3vrso8fLi4fRdXR7dzUeZbeR4ZSzKGVMlILEJclzawy3WhbClHGaU2KkzHmubSGGhKY8FVoyVhiRs7BzGZdFkvI-Ouq8S1-_rYZRCwfGzue6snULiokkTB7LUKKPDv-gr3Xrq_A7xSSnMRFCrqjjjjK-BvC2VEvvFtp_KkrUqr4K9dV3_cAerI1tvrDFL_nTOgAnHfDh5vbzf5PKRtNO-QXouozV</recordid><startdate>202403</startdate><enddate>202403</enddate><creator>Walsh, Jessica A.</creator><creator>Carroll, Courtney</creator><creator>Callis Duffin, Kristina</creator><creator>Wang, Jing</creator><creator>Krueger, Gerald G.</creator><creator>Feng, Bing‐Jian</creator><general>Wiley Periodicals, Inc</general><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4563-0845</orcidid><orcidid>https://orcid.org/0000-0003-4906-549X</orcidid></search><sort><creationdate>202403</creationdate><title>PAPRIKA: A Question Bank for Assessing Psoriatic Arthritis Risk in Individuals of Diverse Ancestries</title><author>Walsh, Jessica A. ; Carroll, Courtney ; Callis Duffin, Kristina ; Wang, Jing ; Krueger, Gerald G. ; Feng, Bing‐Jian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3132-7228f805f0bbecc3ea9d8cf57b10c99b3baed84017378a922dc8b28b2b95fd673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Arthritis, Psoriatic - diagnosis</topic><topic>Arthritis, Psoriatic - drug therapy</topic><topic>Arthritis, Psoriatic - epidemiology</topic><topic>Capsicum</topic><topic>Comorbidity</topic><topic>Diagnosis</topic><topic>Fingernail</topic><topic>Genealogy</topic><topic>Humans</topic><topic>Literature reviews</topic><topic>Psoriasis</topic><topic>Psoriasis - diagnosis</topic><topic>Psoriasis - drug therapy</topic><topic>Psoriasis - epidemiology</topic><topic>Psoriatic arthritis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Walsh, Jessica A.</creatorcontrib><creatorcontrib>Carroll, Courtney</creatorcontrib><creatorcontrib>Callis Duffin, Kristina</creatorcontrib><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Krueger, Gerald G.</creatorcontrib><creatorcontrib>Feng, Bing‐Jian</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Arthritis care & research (2010)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Walsh, Jessica A.</au><au>Carroll, Courtney</au><au>Callis Duffin, Kristina</au><au>Wang, Jing</au><au>Krueger, Gerald G.</au><au>Feng, Bing‐Jian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PAPRIKA: A Question Bank for Assessing Psoriatic Arthritis Risk in Individuals of Diverse Ancestries</atitle><jtitle>Arthritis care & research (2010)</jtitle><addtitle>Arthritis Care Res (Hoboken)</addtitle><date>2024-03</date><risdate>2024</risdate><volume>76</volume><issue>3</issue><spage>421</spage><epage>425</epage><pages>421-425</pages><issn>2151-464X</issn><eissn>2151-4658</eissn><notes>Supported in part by the 2019 PsA Diagnostic Test grant from the National Psoriasis Foundation, the 2018 Immunology, Inflammation, & Infectious Disease (3i) Initiative at the University of Utah. The whole‐exome sequencing and the primary analysis of sequencing reads were sponsored by and conducted at the Regeneron Genetics Center (New York; see Appendix A for list of contributors). The computational resources at the Center for High‐Performance Computing, University of Utah, were partially funded by the NIH Shared Instrumentation (grant 1S10OD021644‐01A1). This project used REDCap at the University of Utah (grant 8UL‐1‐TR000105, formerly UL1‐RR‐025764) from the NIH/National Center for Advancing Translational Sciences. The Pedigree and Population Resource at the Huntsman Cancer Institute, University of Utah (funded in part by the Huntsman Cancer Foundation; grant P30‐CA2014 from the National Cancer Institute, University of Utah; and the University of Utah's program in Personalized Health and Center for Clinical and Translational Science) has helped pulling electronic medical records from the Intermountain Healthcare Electronic Data Warehouse.</notes><notes>http://onlinelibrary.wiley.com/doi/10.1002/acr.25232</notes><notes>https://onlinelibrary.wiley.com/doi/10.1002/acr.25232</notes><notes>.</notes><notes>Additional supplementary information cited in this article can be found online in the Supporting Information section</notes><notes>Author disclosures are available at</notes><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Objective
We aimed to create a question bank about clinical factors for predicting the diagnoses of psoriatic arthritis in patients with psoriasis of various ancestries and skin tones, which can be completed entirely by patients.
Methods
Utah Psoriasis Initiative participants without a psoriatic arthritis diagnosis at enrollment were observed for diagnosis during the study period. We inferred ancestry from exome sequencing data and performed Cox proportional hazards regression to identify clinical predictors of psoriatic arthritis in different ancestry groups. Based on results and literature review, we developed a question bank for assessing psoriatic arthritis risk among patients with psoriasis in various ancestries.
Results
Patient‐reported untreated psoriasis induration and history of fingernail psoriasis were associated with psoriatic arthritis in participants of European and non‐European ancestry. We developed the Psoriatic Arthritis Prediction and Identification Question Bank for Diverse Ancestries (PAPRIKA) version 1.0, which included questions regarding psoriasis characteristics, arthritis symptoms, comorbidities, family history, and demographics. PAPRIKA is accessible at http://bjfenglab.org/.
Conclusion
The clinical features (untreated psoriasis induration and history of fingernail psoriasis) that can predict psoriatic arthritis in European individuals also work for non‐European individuals. PAPRIKA can be used to gather psoriatic arthritis predictive data from patients with psoriasis without provider assistance and is relevant for patients across ancestries.</abstract><cop>Boston, USA</cop><pub>Wiley Periodicals, Inc</pub><pmid>37691268</pmid><doi>10.1002/acr.25232</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-4563-0845</orcidid><orcidid>https://orcid.org/0000-0003-4906-549X</orcidid></addata></record> |
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| identifier | ISSN: 2151-464X |
| ispartof | Arthritis care & research (2010), 2024-03, Vol.76 (3), p.421-425 |
| issn | 2151-464X 2151-4658 |
| language | eng |
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| source | Wiley |
| subjects | Arthritis, Psoriatic - diagnosis Arthritis, Psoriatic - drug therapy Arthritis, Psoriatic - epidemiology Capsicum Comorbidity Diagnosis Fingernail Genealogy Humans Literature reviews Psoriasis Psoriasis - diagnosis Psoriasis - drug therapy Psoriasis - epidemiology Psoriatic arthritis |
| title | PAPRIKA: A Question Bank for Assessing Psoriatic Arthritis Risk in Individuals of Diverse Ancestries |
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