Level of agreement between frequently used cardiovascular risk calculators in people living with HIV

Objectives The aim of the study was to describe agreement between the QRISK2, Framingham and Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) cardiovascular disease (CVD) risk calculators in a large UK study of people living with HIV (PLWH). Methods PLWH enrolled in the Pharmacokinetic an...

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Veröffentlicht in:HIV medicine 2019-05, Vol.20 (5), p.347-352
Hauptverfasser: Dhillon, S, Sabin, CA, Alagaratnam, J, Bagkeris, E, Post, FA, Boffito, M, Anderson, J, Vera, J, Williams, I, Johnson, M, Sachikonye, M, Babalis, D, Mallon, PW, Winston, A, Ndoutoumou, Amalia, Asboe, David, Garvey, Lucy, Pozniak, Anton, Clarke, Amanda, Bexley, Andrew, Richardson, Celia, Kirk, Sarah, Gleig, Rebecca, Bracchi, Margherita, Pagani, Nicole, Cerrone, Maddalena, Bradshaw, Daniel, Ferretti, Francesca, Higgs, Chris, Seah, Elisha, Fletcher, Stephen, Anthonipillai, Michelle, Moyes, Ashley, Deats, Katie, Syed, Irtiza, Matthews, Clive, Fernando, Peter, Chiwome, Chido, Hardwick, Shane, Mguni, Sifiso, Clark, Rebecca, Nevin‐Dolan, Rhiannon, Pelluri, Sambasivarao, Campbell, Lucy, Yurdakul, Selin, Okumu, Sara, Pollard, Louise, Santana‐Suarez, Beatriz, Macken, Alan, Ghavani‐Kia, Bijan, Maher, Joanne, Byrne, Maria, Flaherty, Ailbhe, Babu, Sumesh, Otiko, Damilola, Phillips, Laura, Laverick, Rosanna, Beynon, Michelle, Salz, Anna‐Lena, Severn, Abigail, Underwood, Jonathan, Tembo, Lavender, Stott, Matthew, McDonald, Linda, Dransfield, Felix, Whitehouse, Andrew, Burgess, Laura, Ngwu, Nnenna, Hemat, Nargis, Jones, Martin, Carroll, Anne, Kinloch, Sabine, Youle, Mike, Madge, Sara
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container_title HIV medicine
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creator Dhillon, S
Sabin, CA
Alagaratnam, J
Bagkeris, E
Post, FA
Boffito, M
Anderson, J
Vera, J
Williams, I
Johnson, M
Sachikonye, M
Babalis, D
Mallon, PW
Winston, A
Ndoutoumou, Amalia
Asboe, David
Garvey, Lucy
Pozniak, Anton
Clarke, Amanda
Bexley, Andrew
Richardson, Celia
Kirk, Sarah
Gleig, Rebecca
Bracchi, Margherita
Pagani, Nicole
Cerrone, Maddalena
Bradshaw, Daniel
Ferretti, Francesca
Higgs, Chris
Seah, Elisha
Fletcher, Stephen
Anthonipillai, Michelle
Moyes, Ashley
Deats, Katie
Syed, Irtiza
Matthews, Clive
Fernando, Peter
Chiwome, Chido
Hardwick, Shane
Mguni, Sifiso
Clark, Rebecca
Nevin‐Dolan, Rhiannon
Pelluri, Sambasivarao
Campbell, Lucy
Yurdakul, Selin
Okumu, Sara
Pollard, Louise
Santana‐Suarez, Beatriz
Macken, Alan
Ghavani‐Kia, Bijan
Maher, Joanne
Byrne, Maria
Flaherty, Ailbhe
Babu, Sumesh
Otiko, Damilola
Phillips, Laura
Laverick, Rosanna
Beynon, Michelle
Salz, Anna‐Lena
Severn, Abigail
Underwood, Jonathan
Tembo, Lavender
Stott, Matthew
McDonald, Linda
Dransfield, Felix
Whitehouse, Andrew
Burgess, Laura
Ngwu, Nnenna
Hemat, Nargis
Jones, Martin
Carroll, Anne
Kinloch, Sabine
Youle, Mike
Madge, Sara
description Objectives The aim of the study was to describe agreement between the QRISK2, Framingham and Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) cardiovascular disease (CVD) risk calculators in a large UK study of people living with HIV (PLWH). Methods PLWH enrolled in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study without a prior CVD event were included in this study. QRISK2, Framingham CVD and the full and reduced D:A:D CVD scores were calculated; participants were stratified into ‘low’ (< 10%), ‘intermediate’ (10–20%) and ‘high’ (> 20%) categories for each. Agreement between scores was assessed using weighted kappas and Bland–Altman plots. Results The 730 included participants were predominantly male (636; 87.1%) and of white ethnicity (645; 88.5%), with a median age of 53 [interquartile range (IQR) 49–59] years. The median calculated 10‐year CVD risk was 11.9% (IQR 6.8–18.4%), 8.9% (IQR 4.6–15.0%), 8.5% (IQR 4.8–14.6%) and 6.9% (IQR 4.1–11.1%) when using the Framingham, QRISK2, and full and reduced D:A:D scores, respectively. Agreement between the different scores was generally moderate, with the highest level of agreement being between the Framingham and QRISK2 scores (weighted kappa = 0.65) but with most other kappa coefficients in the 0.50–0.60 range. Conclusions Estimates of predicted 10‐year CVD risk obtained with commonly used CVD risk prediction tools demonstrate, in general, only moderate agreement among PLWH in the UK. While further validation with clinical endpoints is required, our findings suggest that care should be taken when interpreting any score alone.
doi_str_mv 10.1111/hiv.12731
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Methods PLWH enrolled in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study without a prior CVD event were included in this study. QRISK2, Framingham CVD and the full and reduced D:A:D CVD scores were calculated; participants were stratified into ‘low’ (&lt; 10%), ‘intermediate’ (10–20%) and ‘high’ (&gt; 20%) categories for each. Agreement between scores was assessed using weighted kappas and Bland–Altman plots. Results The 730 included participants were predominantly male (636; 87.1%) and of white ethnicity (645; 88.5%), with a median age of 53 [interquartile range (IQR) 49–59] years. The median calculated 10‐year CVD risk was 11.9% (IQR 6.8–18.4%), 8.9% (IQR 4.6–15.0%), 8.5% (IQR 4.8–14.6%) and 6.9% (IQR 4.1–11.1%) when using the Framingham, QRISK2, and full and reduced D:A:D scores, respectively. Agreement between the different scores was generally moderate, with the highest level of agreement being between the Framingham and QRISK2 scores (weighted kappa = 0.65) but with most other kappa coefficients in the 0.50–0.60 range. Conclusions Estimates of predicted 10‐year CVD risk obtained with commonly used CVD risk prediction tools demonstrate, in general, only moderate agreement among PLWH in the UK. While further validation with clinical endpoints is required, our findings suggest that care should be taken when interpreting any score alone.</description><identifier>ISSN: 1464-2662</identifier><identifier>EISSN: 1468-1293</identifier><identifier>DOI: 10.1111/hiv.12731</identifier><identifier>PMID: 30873751</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>agreement ; Agreements ; Algorithms ; Calculators ; Cardiovascular diseases ; Cardiovascular Diseases - epidemiology ; cardiovascular risk prediction ; Data collection ; Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) risk score ; Female ; Framingham ; Health risks ; HIV ; HIV Infections - complications ; HIV Infections - ethnology ; Human immunodeficiency virus ; Humans ; Male ; Mathematical analysis ; Middle Aged ; Minority &amp; ethnic groups ; Pharmacology ; Predictions ; Prospective Studies ; QRISK2 ; Risk ; Risk Assessment ; United Kingdom - ethnology</subject><ispartof>HIV medicine, 2019-05, Vol.20 (5), p.347-352</ispartof><rights>2019 The Authors. published by John Wiley &amp; Sons Ltd on behalf of British HIV Association</rights><rights>2019 The Authors. HIV Medicine published by John Wiley &amp; Sons Ltd on behalf of British HIV Association.</rights><rights>2019. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3881-b43bb2b6b8a4fa84d2248e85f6fa314aeaa2873d9b56dfb719d17e6fdb7d124d3</citedby><cites>FETCH-LOGICAL-c3881-b43bb2b6b8a4fa84d2248e85f6fa314aeaa2873d9b56dfb719d17e6fdb7d124d3</cites><orcidid>0000-0001-5173-2760</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fhiv.12731$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fhiv.12731$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30873751$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dhillon, S</creatorcontrib><creatorcontrib>Sabin, CA</creatorcontrib><creatorcontrib>Alagaratnam, J</creatorcontrib><creatorcontrib>Bagkeris, E</creatorcontrib><creatorcontrib>Post, FA</creatorcontrib><creatorcontrib>Boffito, M</creatorcontrib><creatorcontrib>Anderson, J</creatorcontrib><creatorcontrib>Vera, J</creatorcontrib><creatorcontrib>Williams, I</creatorcontrib><creatorcontrib>Johnson, M</creatorcontrib><creatorcontrib>Sachikonye, M</creatorcontrib><creatorcontrib>Babalis, D</creatorcontrib><creatorcontrib>Mallon, PW</creatorcontrib><creatorcontrib>Winston, A</creatorcontrib><creatorcontrib>Ndoutoumou, Amalia</creatorcontrib><creatorcontrib>Asboe, David</creatorcontrib><creatorcontrib>Garvey, Lucy</creatorcontrib><creatorcontrib>Pozniak, Anton</creatorcontrib><creatorcontrib>Clarke, Amanda</creatorcontrib><creatorcontrib>Bexley, Andrew</creatorcontrib><creatorcontrib>Richardson, Celia</creatorcontrib><creatorcontrib>Kirk, Sarah</creatorcontrib><creatorcontrib>Gleig, Rebecca</creatorcontrib><creatorcontrib>Bracchi, Margherita</creatorcontrib><creatorcontrib>Pagani, Nicole</creatorcontrib><creatorcontrib>Cerrone, Maddalena</creatorcontrib><creatorcontrib>Bradshaw, Daniel</creatorcontrib><creatorcontrib>Ferretti, Francesca</creatorcontrib><creatorcontrib>Higgs, Chris</creatorcontrib><creatorcontrib>Seah, Elisha</creatorcontrib><creatorcontrib>Fletcher, Stephen</creatorcontrib><creatorcontrib>Anthonipillai, Michelle</creatorcontrib><creatorcontrib>Moyes, Ashley</creatorcontrib><creatorcontrib>Deats, Katie</creatorcontrib><creatorcontrib>Syed, Irtiza</creatorcontrib><creatorcontrib>Matthews, Clive</creatorcontrib><creatorcontrib>Fernando, Peter</creatorcontrib><creatorcontrib>Chiwome, Chido</creatorcontrib><creatorcontrib>Hardwick, Shane</creatorcontrib><creatorcontrib>Mguni, Sifiso</creatorcontrib><creatorcontrib>Clark, Rebecca</creatorcontrib><creatorcontrib>Nevin‐Dolan, Rhiannon</creatorcontrib><creatorcontrib>Pelluri, Sambasivarao</creatorcontrib><creatorcontrib>Campbell, Lucy</creatorcontrib><creatorcontrib>Yurdakul, Selin</creatorcontrib><creatorcontrib>Okumu, Sara</creatorcontrib><creatorcontrib>Pollard, Louise</creatorcontrib><creatorcontrib>Santana‐Suarez, Beatriz</creatorcontrib><creatorcontrib>Macken, Alan</creatorcontrib><creatorcontrib>Ghavani‐Kia, Bijan</creatorcontrib><creatorcontrib>Maher, Joanne</creatorcontrib><creatorcontrib>Byrne, Maria</creatorcontrib><creatorcontrib>Flaherty, Ailbhe</creatorcontrib><creatorcontrib>Babu, Sumesh</creatorcontrib><creatorcontrib>Otiko, Damilola</creatorcontrib><creatorcontrib>Phillips, Laura</creatorcontrib><creatorcontrib>Laverick, Rosanna</creatorcontrib><creatorcontrib>Beynon, Michelle</creatorcontrib><creatorcontrib>Salz, Anna‐Lena</creatorcontrib><creatorcontrib>Severn, Abigail</creatorcontrib><creatorcontrib>Underwood, Jonathan</creatorcontrib><creatorcontrib>Tembo, Lavender</creatorcontrib><creatorcontrib>Stott, Matthew</creatorcontrib><creatorcontrib>McDonald, Linda</creatorcontrib><creatorcontrib>Dransfield, Felix</creatorcontrib><creatorcontrib>Whitehouse, Andrew</creatorcontrib><creatorcontrib>Burgess, Laura</creatorcontrib><creatorcontrib>Ngwu, Nnenna</creatorcontrib><creatorcontrib>Hemat, Nargis</creatorcontrib><creatorcontrib>Jones, Martin</creatorcontrib><creatorcontrib>Carroll, Anne</creatorcontrib><creatorcontrib>Kinloch, Sabine</creatorcontrib><creatorcontrib>Youle, Mike</creatorcontrib><creatorcontrib>Madge, Sara</creatorcontrib><creatorcontrib>Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study</creatorcontrib><creatorcontrib>the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study</creatorcontrib><title>Level of agreement between frequently used cardiovascular risk calculators in people living with HIV</title><title>HIV medicine</title><addtitle>HIV Med</addtitle><description>Objectives The aim of the study was to describe agreement between the QRISK2, Framingham and Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) cardiovascular disease (CVD) risk calculators in a large UK study of people living with HIV (PLWH). Methods PLWH enrolled in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study without a prior CVD event were included in this study. QRISK2, Framingham CVD and the full and reduced D:A:D CVD scores were calculated; participants were stratified into ‘low’ (&lt; 10%), ‘intermediate’ (10–20%) and ‘high’ (&gt; 20%) categories for each. Agreement between scores was assessed using weighted kappas and Bland–Altman plots. Results The 730 included participants were predominantly male (636; 87.1%) and of white ethnicity (645; 88.5%), with a median age of 53 [interquartile range (IQR) 49–59] years. The median calculated 10‐year CVD risk was 11.9% (IQR 6.8–18.4%), 8.9% (IQR 4.6–15.0%), 8.5% (IQR 4.8–14.6%) and 6.9% (IQR 4.1–11.1%) when using the Framingham, QRISK2, and full and reduced D:A:D scores, respectively. Agreement between the different scores was generally moderate, with the highest level of agreement being between the Framingham and QRISK2 scores (weighted kappa = 0.65) but with most other kappa coefficients in the 0.50–0.60 range. Conclusions Estimates of predicted 10‐year CVD risk obtained with commonly used CVD risk prediction tools demonstrate, in general, only moderate agreement among PLWH in the UK. While further validation with clinical endpoints is required, our findings suggest that care should be taken when interpreting any score alone.</description><subject>agreement</subject><subject>Agreements</subject><subject>Algorithms</subject><subject>Calculators</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>cardiovascular risk prediction</subject><subject>Data collection</subject><subject>Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) risk score</subject><subject>Female</subject><subject>Framingham</subject><subject>Health risks</subject><subject>HIV</subject><subject>HIV Infections - complications</subject><subject>HIV Infections - ethnology</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>Middle Aged</subject><subject>Minority &amp; ethnic groups</subject><subject>Pharmacology</subject><subject>Predictions</subject><subject>Prospective Studies</subject><subject>QRISK2</subject><subject>Risk</subject><subject>Risk Assessment</subject><subject>United Kingdom - ethnology</subject><issn>1464-2662</issn><issn>1468-1293</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNp1kE1PAyEURYnR-L3wDxgSN7qYOsAUmKVp_EqauFG3BIaHonSmwkyb_nuxVRcmvg2Pl5Obm4PQCSlHJM_lq1-MCBWMbKF9UnFZEFqz7fVeFZRzuocOUnorSyJYXe6iPVZKwcSY7CM7hQUE3DmsXyLADNoeG-iXAC12ET6GfAgrPCSwuNHR-m6hUzMEHXH06T3fwtev72LCvsVz6OYBcPAL377gpe9f8d398xHacTokOP5-D9HTzfXj5K6YPtzeT66mRcOkJIWpmDHUcCN15bSsLKWVBDl23GlGKg1a09zb1mbMrTOC1JYI4M4aYQmtLDtE55vceexy89SrmU8NhKBb6IakKKlZVsBrntGzP-hbN8Q2t1OUliLLlEJm6mJDNbFLKYJT8-hnOq4UKdWXepXVq7X6zJ5-Jw5mBvaX_HGdgcsNsPQBVv8nqWxsE_kJzouOdg</recordid><startdate>201905</startdate><enddate>201905</enddate><creator>Dhillon, 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Sabin, CA ; Alagaratnam, J ; Bagkeris, E ; Post, FA ; Boffito, M ; Anderson, J ; Vera, J ; Williams, I ; Johnson, M ; Sachikonye, M ; Babalis, D ; Mallon, PW ; Winston, A ; Ndoutoumou, Amalia ; Asboe, David ; Garvey, Lucy ; Pozniak, Anton ; Clarke, Amanda ; Bexley, Andrew ; Richardson, Celia ; Kirk, Sarah ; Gleig, Rebecca ; Bracchi, Margherita ; Pagani, Nicole ; Cerrone, Maddalena ; Bradshaw, Daniel ; Ferretti, Francesca ; Higgs, Chris ; Seah, Elisha ; Fletcher, Stephen ; Anthonipillai, Michelle ; Moyes, Ashley ; Deats, Katie ; Syed, Irtiza ; Matthews, Clive ; Fernando, Peter ; Chiwome, Chido ; Hardwick, Shane ; Mguni, Sifiso ; Clark, Rebecca ; Nevin‐Dolan, Rhiannon ; Pelluri, Sambasivarao ; Campbell, Lucy ; Yurdakul, Selin ; Okumu, Sara ; Pollard, Louise ; Santana‐Suarez, Beatriz ; Macken, Alan ; Ghavani‐Kia, Bijan ; Maher, Joanne ; Byrne, Maria ; Flaherty, Ailbhe ; Babu, Sumesh ; Otiko, Damilola ; Phillips, Laura ; Laverick, Rosanna ; Beynon, Michelle ; Salz, Anna‐Lena ; Severn, Abigail ; Underwood, Jonathan ; Tembo, Lavender ; Stott, Matthew ; McDonald, Linda ; Dransfield, Felix ; Whitehouse, Andrew ; Burgess, Laura ; Ngwu, Nnenna ; Hemat, Nargis ; Jones, Martin ; Carroll, Anne ; Kinloch, Sabine ; Youle, Mike ; Madge, Sara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3881-b43bb2b6b8a4fa84d2248e85f6fa314aeaa2873d9b56dfb719d17e6fdb7d124d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>agreement</topic><topic>Agreements</topic><topic>Algorithms</topic><topic>Calculators</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>cardiovascular risk prediction</topic><topic>Data collection</topic><topic>Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) risk score</topic><topic>Female</topic><topic>Framingham</topic><topic>Health risks</topic><topic>HIV</topic><topic>HIV Infections - complications</topic><topic>HIV Infections - ethnology</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Male</topic><topic>Mathematical analysis</topic><topic>Middle Aged</topic><topic>Minority &amp; ethnic groups</topic><topic>Pharmacology</topic><topic>Predictions</topic><topic>Prospective Studies</topic><topic>QRISK2</topic><topic>Risk</topic><topic>Risk Assessment</topic><topic>United Kingdom - ethnology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dhillon, S</creatorcontrib><creatorcontrib>Sabin, CA</creatorcontrib><creatorcontrib>Alagaratnam, J</creatorcontrib><creatorcontrib>Bagkeris, E</creatorcontrib><creatorcontrib>Post, FA</creatorcontrib><creatorcontrib>Boffito, M</creatorcontrib><creatorcontrib>Anderson, J</creatorcontrib><creatorcontrib>Vera, J</creatorcontrib><creatorcontrib>Williams, I</creatorcontrib><creatorcontrib>Johnson, M</creatorcontrib><creatorcontrib>Sachikonye, M</creatorcontrib><creatorcontrib>Babalis, D</creatorcontrib><creatorcontrib>Mallon, PW</creatorcontrib><creatorcontrib>Winston, A</creatorcontrib><creatorcontrib>Ndoutoumou, Amalia</creatorcontrib><creatorcontrib>Asboe, David</creatorcontrib><creatorcontrib>Garvey, Lucy</creatorcontrib><creatorcontrib>Pozniak, Anton</creatorcontrib><creatorcontrib>Clarke, Amanda</creatorcontrib><creatorcontrib>Bexley, Andrew</creatorcontrib><creatorcontrib>Richardson, Celia</creatorcontrib><creatorcontrib>Kirk, Sarah</creatorcontrib><creatorcontrib>Gleig, Rebecca</creatorcontrib><creatorcontrib>Bracchi, Margherita</creatorcontrib><creatorcontrib>Pagani, Nicole</creatorcontrib><creatorcontrib>Cerrone, Maddalena</creatorcontrib><creatorcontrib>Bradshaw, Daniel</creatorcontrib><creatorcontrib>Ferretti, Francesca</creatorcontrib><creatorcontrib>Higgs, Chris</creatorcontrib><creatorcontrib>Seah, Elisha</creatorcontrib><creatorcontrib>Fletcher, Stephen</creatorcontrib><creatorcontrib>Anthonipillai, Michelle</creatorcontrib><creatorcontrib>Moyes, Ashley</creatorcontrib><creatorcontrib>Deats, Katie</creatorcontrib><creatorcontrib>Syed, Irtiza</creatorcontrib><creatorcontrib>Matthews, Clive</creatorcontrib><creatorcontrib>Fernando, Peter</creatorcontrib><creatorcontrib>Chiwome, Chido</creatorcontrib><creatorcontrib>Hardwick, Shane</creatorcontrib><creatorcontrib>Mguni, Sifiso</creatorcontrib><creatorcontrib>Clark, Rebecca</creatorcontrib><creatorcontrib>Nevin‐Dolan, Rhiannon</creatorcontrib><creatorcontrib>Pelluri, Sambasivarao</creatorcontrib><creatorcontrib>Campbell, Lucy</creatorcontrib><creatorcontrib>Yurdakul, Selin</creatorcontrib><creatorcontrib>Okumu, Sara</creatorcontrib><creatorcontrib>Pollard, Louise</creatorcontrib><creatorcontrib>Santana‐Suarez, Beatriz</creatorcontrib><creatorcontrib>Macken, Alan</creatorcontrib><creatorcontrib>Ghavani‐Kia, Bijan</creatorcontrib><creatorcontrib>Maher, Joanne</creatorcontrib><creatorcontrib>Byrne, Maria</creatorcontrib><creatorcontrib>Flaherty, Ailbhe</creatorcontrib><creatorcontrib>Babu, Sumesh</creatorcontrib><creatorcontrib>Otiko, Damilola</creatorcontrib><creatorcontrib>Phillips, Laura</creatorcontrib><creatorcontrib>Laverick, Rosanna</creatorcontrib><creatorcontrib>Beynon, Michelle</creatorcontrib><creatorcontrib>Salz, Anna‐Lena</creatorcontrib><creatorcontrib>Severn, Abigail</creatorcontrib><creatorcontrib>Underwood, Jonathan</creatorcontrib><creatorcontrib>Tembo, Lavender</creatorcontrib><creatorcontrib>Stott, Matthew</creatorcontrib><creatorcontrib>McDonald, Linda</creatorcontrib><creatorcontrib>Dransfield, Felix</creatorcontrib><creatorcontrib>Whitehouse, Andrew</creatorcontrib><creatorcontrib>Burgess, Laura</creatorcontrib><creatorcontrib>Ngwu, Nnenna</creatorcontrib><creatorcontrib>Hemat, Nargis</creatorcontrib><creatorcontrib>Jones, Martin</creatorcontrib><creatorcontrib>Carroll, Anne</creatorcontrib><creatorcontrib>Kinloch, Sabine</creatorcontrib><creatorcontrib>Youle, Mike</creatorcontrib><creatorcontrib>Madge, Sara</creatorcontrib><creatorcontrib>Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study</creatorcontrib><creatorcontrib>the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>HIV medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dhillon, S</au><au>Sabin, CA</au><au>Alagaratnam, J</au><au>Bagkeris, E</au><au>Post, FA</au><au>Boffito, M</au><au>Anderson, J</au><au>Vera, J</au><au>Williams, I</au><au>Johnson, M</au><au>Sachikonye, M</au><au>Babalis, D</au><au>Mallon, PW</au><au>Winston, A</au><au>Ndoutoumou, Amalia</au><au>Asboe, David</au><au>Garvey, Lucy</au><au>Pozniak, Anton</au><au>Clarke, Amanda</au><au>Bexley, Andrew</au><au>Richardson, Celia</au><au>Kirk, Sarah</au><au>Gleig, Rebecca</au><au>Bracchi, Margherita</au><au>Pagani, Nicole</au><au>Cerrone, Maddalena</au><au>Bradshaw, Daniel</au><au>Ferretti, Francesca</au><au>Higgs, Chris</au><au>Seah, Elisha</au><au>Fletcher, Stephen</au><au>Anthonipillai, Michelle</au><au>Moyes, Ashley</au><au>Deats, Katie</au><au>Syed, Irtiza</au><au>Matthews, Clive</au><au>Fernando, Peter</au><au>Chiwome, Chido</au><au>Hardwick, Shane</au><au>Mguni, Sifiso</au><au>Clark, Rebecca</au><au>Nevin‐Dolan, Rhiannon</au><au>Pelluri, Sambasivarao</au><au>Campbell, Lucy</au><au>Yurdakul, Selin</au><au>Okumu, Sara</au><au>Pollard, Louise</au><au>Santana‐Suarez, Beatriz</au><au>Macken, Alan</au><au>Ghavani‐Kia, Bijan</au><au>Maher, Joanne</au><au>Byrne, Maria</au><au>Flaherty, Ailbhe</au><au>Babu, Sumesh</au><au>Otiko, Damilola</au><au>Phillips, Laura</au><au>Laverick, Rosanna</au><au>Beynon, Michelle</au><au>Salz, Anna‐Lena</au><au>Severn, Abigail</au><au>Underwood, Jonathan</au><au>Tembo, Lavender</au><au>Stott, Matthew</au><au>McDonald, Linda</au><au>Dransfield, Felix</au><au>Whitehouse, Andrew</au><au>Burgess, Laura</au><au>Ngwu, Nnenna</au><au>Hemat, Nargis</au><au>Jones, Martin</au><au>Carroll, Anne</au><au>Kinloch, Sabine</au><au>Youle, Mike</au><au>Madge, Sara</au><aucorp>Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study</aucorp><aucorp>the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Level of agreement between frequently used cardiovascular risk calculators in people living with HIV</atitle><jtitle>HIV medicine</jtitle><addtitle>HIV Med</addtitle><date>2019-05</date><risdate>2019</risdate><volume>20</volume><issue>5</issue><spage>347</spage><epage>352</epage><pages>347-352</pages><issn>1464-2662</issn><eissn>1468-1293</eissn><abstract>Objectives The aim of the study was to describe agreement between the QRISK2, Framingham and Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) cardiovascular disease (CVD) risk calculators in a large UK study of people living with HIV (PLWH). Methods PLWH enrolled in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study without a prior CVD event were included in this study. QRISK2, Framingham CVD and the full and reduced D:A:D CVD scores were calculated; participants were stratified into ‘low’ (&lt; 10%), ‘intermediate’ (10–20%) and ‘high’ (&gt; 20%) categories for each. Agreement between scores was assessed using weighted kappas and Bland–Altman plots. Results The 730 included participants were predominantly male (636; 87.1%) and of white ethnicity (645; 88.5%), with a median age of 53 [interquartile range (IQR) 49–59] years. The median calculated 10‐year CVD risk was 11.9% (IQR 6.8–18.4%), 8.9% (IQR 4.6–15.0%), 8.5% (IQR 4.8–14.6%) and 6.9% (IQR 4.1–11.1%) when using the Framingham, QRISK2, and full and reduced D:A:D scores, respectively. Agreement between the different scores was generally moderate, with the highest level of agreement being between the Framingham and QRISK2 scores (weighted kappa = 0.65) but with most other kappa coefficients in the 0.50–0.60 range. Conclusions Estimates of predicted 10‐year CVD risk obtained with commonly used CVD risk prediction tools demonstrate, in general, only moderate agreement among PLWH in the UK. While further validation with clinical endpoints is required, our findings suggest that care should be taken when interpreting any score alone.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>30873751</pmid><doi>10.1111/hiv.12731</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-5173-2760</orcidid><oa>free_for_read</oa></addata></record>
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subjects agreement
Agreements
Algorithms
Calculators
Cardiovascular diseases
Cardiovascular Diseases - epidemiology
cardiovascular risk prediction
Data collection
Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) risk score
Female
Framingham
Health risks
HIV
HIV Infections - complications
HIV Infections - ethnology
Human immunodeficiency virus
Humans
Male
Mathematical analysis
Middle Aged
Minority & ethnic groups
Pharmacology
Predictions
Prospective Studies
QRISK2
Risk
Risk Assessment
United Kingdom - ethnology
title Level of agreement between frequently used cardiovascular risk calculators in people living with HIV
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