Cardiovascular Risk Assessment Varies Widely by Calculator and Race/Ethnicity in a Majority Latinx Cohort Living with HIV

Comparison of cardiovascular disease (CVD) risk calculators in Latinx majority populations living with HIV can assist clinicians in selecting a calculator and interpreting results. 10-year CVD risks were estimated for 652 patients seen ≥ 2 times over 12 months in a public clinic using three risk cal...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of immigrant and minority health 2020-04, Vol.22 (2), p.323-335
Hauptverfasser: Liang, Yuanyuan, Ketchum, Norma S., Turner, Barbara J., Flores, John, Bullock, Delia, Villarreal, Roberto, Noël, Polly H., Yin, Michael T., Taylor, Barbara S.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 335
container_issue 2
container_start_page 323
container_title Journal of immigrant and minority health
container_volume 22
creator Liang, Yuanyuan
Ketchum, Norma S.
Turner, Barbara J.
Flores, John
Bullock, Delia
Villarreal, Roberto
Noël, Polly H.
Yin, Michael T.
Taylor, Barbara S.
description Comparison of cardiovascular disease (CVD) risk calculators in Latinx majority populations living with HIV can assist clinicians in selecting a calculator and interpreting results. 10-year CVD risks were estimated for 652 patients seen ≥ 2 times over 12 months in a public clinic using three risk calculators: Atherosclerotic CVD risk Calculator (ASCVD), Framingham Risk Calculator (FRC), and Data Collection on Adverse Effects of Anti-HIV Drugs Study (D:A:D) Calculator. Median estimated 10-year CVD risk in this population was highest using FRC (11%), followed by D:A:D (10%), and lowest with ASCVD (5%; p 
doi_str_mv 10.1007/s10903-019-00890-w
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2211948906</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2211488385</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-63caddbdba68da66700832b87cbdb3647627f98808c64a8dc39e61e413a3c3ad3</originalsourceid><addsrcrecordid>eNp9kUtv1DAUhS1ERUvpH2CBLLFhE-pH4jjLKmpppUGVKmiX1o3t6XjI2MV2OuTf4-mUIrFg5cf9zrm-Pgi9p-QzJaQ9TZR0hFeEdhUhsiPV9hU6ok3TVrRj5PXLnrJD9DalNSE1lYy8QYe86GvWdEdo7iEaFx4h6WmEiG9c-oHPUrIpbazP-BaiswnfOWPHGQ8z7mHckTlEDN7gG9D29DyvvNMuz9h5DPgrrEPcnRaQnf-F-7AKMeOFe3T-Hm9dXuHLq9t36GAJY7Inz-sx-n5x_q2_rBbXX676s0WledvkSnANxgxmACENCNGWUTkbZKvLHRd1K1i77KQkUosapNG8s4LamnLgmoPhx-jT3vchhp-TTVltXNJ2HMHbMCXFGKVdXb5PFPTjP-g6TNGX1z1RtZRcNoVie0rHkFK0S_UQ3QbirChRu2DUPhhVglFPwahtEX14tp6GjTUvkj9JFIDvgVRK_t7Gv73_Y_sbaO2ZmQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2211488385</pqid></control><display><type>article</type><title>Cardiovascular Risk Assessment Varies Widely by Calculator and Race/Ethnicity in a Majority Latinx Cohort Living with HIV</title><source>MEDLINE</source><source>Sociological Abstracts</source><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>Jstor Complete Legacy</source><source>SpringerLink Journals - AutoHoldings</source><creator>Liang, Yuanyuan ; Ketchum, Norma S. ; Turner, Barbara J. ; Flores, John ; Bullock, Delia ; Villarreal, Roberto ; Noël, Polly H. ; Yin, Michael T. ; Taylor, Barbara S.</creator><creatorcontrib>Liang, Yuanyuan ; Ketchum, Norma S. ; Turner, Barbara J. ; Flores, John ; Bullock, Delia ; Villarreal, Roberto ; Noël, Polly H. ; Yin, Michael T. ; Taylor, Barbara S.</creatorcontrib><description>Comparison of cardiovascular disease (CVD) risk calculators in Latinx majority populations living with HIV can assist clinicians in selecting a calculator and interpreting results. 10-year CVD risks were estimated for 652 patients seen ≥ 2 times over 12 months in a public clinic using three risk calculators: Atherosclerotic CVD risk Calculator (ASCVD), Framingham Risk Calculator (FRC), and Data Collection on Adverse Effects of Anti-HIV Drugs Study (D:A:D) Calculator. Median estimated 10-year CVD risk in this population was highest using FRC (11%), followed by D:A:D (10%), and lowest with ASCVD (5%; p &lt; 0.001). However, D:A:D classified 44.3% in a high/very high risk category compared to FRC (20.7%) and ASCVD (33.4%) (all p &lt; 0.001). ASCVD risk estimates differed significantly by race/ethnicity (p &lt; 0.001). Risk varied widely across three risk calculators and by race/ethnicity, and providers should be aware of these differences when choosing a calculator for use in majority minority populations.</description><identifier>ISSN: 1557-1912</identifier><identifier>EISSN: 1557-1920</identifier><identifier>DOI: 10.1007/s10903-019-00890-w</identifier><identifier>PMID: 31004259</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Aged ; Arteriosclerosis ; Atherosclerosis ; Atherosclerosis - drug therapy ; Calculators ; Cardiovascular diseases ; Cardiovascular Diseases - etiology ; Comparative Law ; Continental Population Groups ; Data collection ; Ethnic Groups ; Ethnicity ; Female ; Health risks ; Heart Disease Risk Factors ; High risk ; HIV ; HIV Infections - drug therapy ; Human immunodeficiency virus ; Humans ; International &amp; Foreign Law ; Male ; Mathematical analysis ; Medicine ; Medicine &amp; Public Health ; Middle Aged ; Minority &amp; ethnic groups ; Original Paper ; Populations ; Private International Law ; Public Health ; Race ; Racial differences ; Registries ; Risk Assessment ; Side effects ; Sociology ; Texas</subject><ispartof>Journal of immigrant and minority health, 2020-04, Vol.22 (2), p.323-335</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>Journal of Immigrant and Minority Health is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-63caddbdba68da66700832b87cbdb3647627f98808c64a8dc39e61e413a3c3ad3</citedby><cites>FETCH-LOGICAL-c375t-63caddbdba68da66700832b87cbdb3647627f98808c64a8dc39e61e413a3c3ad3</cites><orcidid>0000-0003-2471-9629</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10903-019-00890-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10903-019-00890-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,12826,27323,27903,27904,30978,33753,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31004259$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liang, Yuanyuan</creatorcontrib><creatorcontrib>Ketchum, Norma S.</creatorcontrib><creatorcontrib>Turner, Barbara J.</creatorcontrib><creatorcontrib>Flores, John</creatorcontrib><creatorcontrib>Bullock, Delia</creatorcontrib><creatorcontrib>Villarreal, Roberto</creatorcontrib><creatorcontrib>Noël, Polly H.</creatorcontrib><creatorcontrib>Yin, Michael T.</creatorcontrib><creatorcontrib>Taylor, Barbara S.</creatorcontrib><title>Cardiovascular Risk Assessment Varies Widely by Calculator and Race/Ethnicity in a Majority Latinx Cohort Living with HIV</title><title>Journal of immigrant and minority health</title><addtitle>J Immigrant Minority Health</addtitle><addtitle>J Immigr Minor Health</addtitle><description>Comparison of cardiovascular disease (CVD) risk calculators in Latinx majority populations living with HIV can assist clinicians in selecting a calculator and interpreting results. 10-year CVD risks were estimated for 652 patients seen ≥ 2 times over 12 months in a public clinic using three risk calculators: Atherosclerotic CVD risk Calculator (ASCVD), Framingham Risk Calculator (FRC), and Data Collection on Adverse Effects of Anti-HIV Drugs Study (D:A:D) Calculator. Median estimated 10-year CVD risk in this population was highest using FRC (11%), followed by D:A:D (10%), and lowest with ASCVD (5%; p &lt; 0.001). However, D:A:D classified 44.3% in a high/very high risk category compared to FRC (20.7%) and ASCVD (33.4%) (all p &lt; 0.001). ASCVD risk estimates differed significantly by race/ethnicity (p &lt; 0.001). Risk varied widely across three risk calculators and by race/ethnicity, and providers should be aware of these differences when choosing a calculator for use in majority minority populations.</description><subject>Adult</subject><subject>Aged</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Atherosclerosis - drug therapy</subject><subject>Calculators</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - etiology</subject><subject>Comparative Law</subject><subject>Continental Population Groups</subject><subject>Data collection</subject><subject>Ethnic Groups</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Health risks</subject><subject>Heart Disease Risk Factors</subject><subject>High risk</subject><subject>HIV</subject><subject>HIV Infections - drug therapy</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>International &amp; Foreign Law</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Middle Aged</subject><subject>Minority &amp; ethnic groups</subject><subject>Original Paper</subject><subject>Populations</subject><subject>Private International Law</subject><subject>Public Health</subject><subject>Race</subject><subject>Racial differences</subject><subject>Registries</subject><subject>Risk Assessment</subject><subject>Side effects</subject><subject>Sociology</subject><subject>Texas</subject><issn>1557-1912</issn><issn>1557-1920</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>BHHNA</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>LD-</sourceid><sourceid>LD.</sourceid><sourceid>M2O</sourceid><sourceid>QXPDG</sourceid><recordid>eNp9kUtv1DAUhS1ERUvpH2CBLLFhE-pH4jjLKmpppUGVKmiX1o3t6XjI2MV2OuTf4-mUIrFg5cf9zrm-Pgi9p-QzJaQ9TZR0hFeEdhUhsiPV9hU6ok3TVrRj5PXLnrJD9DalNSE1lYy8QYe86GvWdEdo7iEaFx4h6WmEiG9c-oHPUrIpbazP-BaiswnfOWPHGQ8z7mHckTlEDN7gG9D29DyvvNMuz9h5DPgrrEPcnRaQnf-F-7AKMeOFe3T-Hm9dXuHLq9t36GAJY7Inz-sx-n5x_q2_rBbXX676s0WledvkSnANxgxmACENCNGWUTkbZKvLHRd1K1i77KQkUosapNG8s4LamnLgmoPhx-jT3vchhp-TTVltXNJ2HMHbMCXFGKVdXb5PFPTjP-g6TNGX1z1RtZRcNoVie0rHkFK0S_UQ3QbirChRu2DUPhhVglFPwahtEX14tp6GjTUvkj9JFIDvgVRK_t7Gv73_Y_sbaO2ZmQ</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Liang, Yuanyuan</creator><creator>Ketchum, Norma S.</creator><creator>Turner, Barbara J.</creator><creator>Flores, John</creator><creator>Bullock, Delia</creator><creator>Villarreal, Roberto</creator><creator>Noël, Polly H.</creator><creator>Yin, Michael T.</creator><creator>Taylor, Barbara S.</creator><general>Springer US</general><general>Springer Nature B.V</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>0-V</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7T2</scope><scope>7U4</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88G</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHHNA</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWI</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HEHIP</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>LD-</scope><scope>LD.</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>QXPDG</scope><scope>WZK</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2471-9629</orcidid></search><sort><creationdate>20200401</creationdate><title>Cardiovascular Risk Assessment Varies Widely by Calculator and Race/Ethnicity in a Majority Latinx Cohort Living with HIV</title><author>Liang, Yuanyuan ; Ketchum, Norma S. ; Turner, Barbara J. ; Flores, John ; Bullock, Delia ; Villarreal, Roberto ; Noël, Polly H. ; Yin, Michael T. ; Taylor, Barbara S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-63caddbdba68da66700832b87cbdb3647627f98808c64a8dc39e61e413a3c3ad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Atherosclerosis - drug therapy</topic><topic>Calculators</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - etiology</topic><topic>Comparative Law</topic><topic>Continental Population Groups</topic><topic>Data collection</topic><topic>Ethnic Groups</topic><topic>Ethnicity</topic><topic>Female</topic><topic>Health risks</topic><topic>Heart Disease Risk Factors</topic><topic>High risk</topic><topic>HIV</topic><topic>HIV Infections - drug therapy</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>International &amp; Foreign Law</topic><topic>Male</topic><topic>Mathematical analysis</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Middle Aged</topic><topic>Minority &amp; ethnic groups</topic><topic>Original Paper</topic><topic>Populations</topic><topic>Private International Law</topic><topic>Public Health</topic><topic>Race</topic><topic>Racial differences</topic><topic>Registries</topic><topic>Risk Assessment</topic><topic>Side effects</topic><topic>Sociology</topic><topic>Texas</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liang, Yuanyuan</creatorcontrib><creatorcontrib>Ketchum, Norma S.</creatorcontrib><creatorcontrib>Turner, Barbara J.</creatorcontrib><creatorcontrib>Flores, John</creatorcontrib><creatorcontrib>Bullock, Delia</creatorcontrib><creatorcontrib>Villarreal, Roberto</creatorcontrib><creatorcontrib>Noël, Polly H.</creatorcontrib><creatorcontrib>Yin, Michael T.</creatorcontrib><creatorcontrib>Taylor, Barbara S.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Sociological Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Sociological Abstracts</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Ethnic NewsWatch</collection><collection>Ethnic NewsWatch (Alumni)</collection><collection>ABI/INFORM Global</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Education</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Diversity Collection</collection><collection>Sociological Abstracts (Ovid)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of immigrant and minority health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liang, Yuanyuan</au><au>Ketchum, Norma S.</au><au>Turner, Barbara J.</au><au>Flores, John</au><au>Bullock, Delia</au><au>Villarreal, Roberto</au><au>Noël, Polly H.</au><au>Yin, Michael T.</au><au>Taylor, Barbara S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cardiovascular Risk Assessment Varies Widely by Calculator and Race/Ethnicity in a Majority Latinx Cohort Living with HIV</atitle><jtitle>Journal of immigrant and minority health</jtitle><stitle>J Immigrant Minority Health</stitle><addtitle>J Immigr Minor Health</addtitle><date>2020-04-01</date><risdate>2020</risdate><volume>22</volume><issue>2</issue><spage>323</spage><epage>335</epage><pages>323-335</pages><issn>1557-1912</issn><eissn>1557-1920</eissn><abstract>Comparison of cardiovascular disease (CVD) risk calculators in Latinx majority populations living with HIV can assist clinicians in selecting a calculator and interpreting results. 10-year CVD risks were estimated for 652 patients seen ≥ 2 times over 12 months in a public clinic using three risk calculators: Atherosclerotic CVD risk Calculator (ASCVD), Framingham Risk Calculator (FRC), and Data Collection on Adverse Effects of Anti-HIV Drugs Study (D:A:D) Calculator. Median estimated 10-year CVD risk in this population was highest using FRC (11%), followed by D:A:D (10%), and lowest with ASCVD (5%; p &lt; 0.001). However, D:A:D classified 44.3% in a high/very high risk category compared to FRC (20.7%) and ASCVD (33.4%) (all p &lt; 0.001). ASCVD risk estimates differed significantly by race/ethnicity (p &lt; 0.001). Risk varied widely across three risk calculators and by race/ethnicity, and providers should be aware of these differences when choosing a calculator for use in majority minority populations.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>31004259</pmid><doi>10.1007/s10903-019-00890-w</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-2471-9629</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1557-1912
ispartof Journal of immigrant and minority health, 2020-04, Vol.22 (2), p.323-335
issn 1557-1912
1557-1920
language eng
recordid cdi_proquest_miscellaneous_2211948906
source MEDLINE; Sociological Abstracts; Applied Social Sciences Index & Abstracts (ASSIA); Jstor Complete Legacy; SpringerLink Journals - AutoHoldings
subjects Adult
Aged
Arteriosclerosis
Atherosclerosis
Atherosclerosis - drug therapy
Calculators
Cardiovascular diseases
Cardiovascular Diseases - etiology
Comparative Law
Continental Population Groups
Data collection
Ethnic Groups
Ethnicity
Female
Health risks
Heart Disease Risk Factors
High risk
HIV
HIV Infections - drug therapy
Human immunodeficiency virus
Humans
International & Foreign Law
Male
Mathematical analysis
Medicine
Medicine & Public Health
Middle Aged
Minority & ethnic groups
Original Paper
Populations
Private International Law
Public Health
Race
Racial differences
Registries
Risk Assessment
Side effects
Sociology
Texas
title Cardiovascular Risk Assessment Varies Widely by Calculator and Race/Ethnicity in a Majority Latinx Cohort Living with HIV
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T21%3A56%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cardiovascular%20Risk%20Assessment%20Varies%20Widely%20by%20Calculator%20and%20Race/Ethnicity%20in%20a%20Majority%20Latinx%20Cohort%20Living%20with%20HIV&rft.jtitle=Journal%20of%20immigrant%20and%20minority%20health&rft.au=Liang,%20Yuanyuan&rft.date=2020-04-01&rft.volume=22&rft.issue=2&rft.spage=323&rft.epage=335&rft.pages=323-335&rft.issn=1557-1912&rft.eissn=1557-1920&rft_id=info:doi/10.1007/s10903-019-00890-w&rft_dat=%3Cproquest_cross%3E2211488385%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2211488385&rft_id=info:pmid/31004259&rfr_iscdi=true