Cardiovascular disease risk prediction by the American College of Cardiology (ACC)/American Heart Association (AHA) Atherosclerotic Cardiovascular Disease (ASCVD) risk score among HIV-infected patients in sub-Saharan Africa.
Identifieur interne : 000740 ( PubMed/Curation ); précédent : 000739; suivant : 000741Cardiovascular disease risk prediction by the American College of Cardiology (ACC)/American Heart Association (AHA) Atherosclerotic Cardiovascular Disease (ASCVD) risk score among HIV-infected patients in sub-Saharan Africa.
Auteurs : Mosepele Mosepele [Botswana] ; Linda C. Hemphill [États-Unis] ; Tommy Palai [Botswana] ; Isaac Nkele [Botswana] ; Kara Bennett [États-Unis] ; Shahin Lockman [Botswana] ; Virginia A. Triant [États-Unis]Source :
- PloS one [ 1932-6203 ] ; 2017.
Descripteurs français
- KwdFr :
- Adulte, Adulte d'âge moyen, Afrique subsaharienne (épidémiologie), Association américaine du coeur, Athérosclérose (virologie), Athérosclérose (épidémiologie), Humains, Infections à VIH (), Infections à VIH (épidémiologie), Mâle, Projets pilotes, États-Unis d'Amérique, Études transversales, Évaluation des risques.
- MESH :
English descriptors
- KwdEn :
- Adult, Africa South of the Sahara (epidemiology), American Heart Association, Atherosclerosis (epidemiology), Atherosclerosis (virology), Cross-Sectional Studies, HIV Infections (complications), HIV Infections (epidemiology), Humans, Male, Middle Aged, Pilot Projects, Risk Assessment, United States.
- MESH :
- complications : HIV Infections.
- epidemiology : Africa South of the Sahara, Atherosclerosis, HIV Infections.
- virology : Atherosclerosis.
- Adult, American Heart Association, Cross-Sectional Studies, Humans, Male, Middle Aged, Pilot Projects, Risk Assessment, United States.
Abstract
HIV-infected patients are at increased risk for cardiovascular disease (CVD). However, general population CVD risk prediction equations that identify HIV-infected patients at elevated risk have not been widely assessed in sub-Saharan African (SSA).
DOI: 10.1371/journal.pone.0172897
PubMed: 28235058
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Hemphill</name><affiliation wicri:level="1"><nlm:affiliation>The Heart Center, Division of Cardiology, Massachusetts General Hospital & Harvard Medical School, Boston, Massachusetts, United States of America.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>The Heart Center, Division of Cardiology, Massachusetts General Hospital & Harvard Medical School, Boston, Massachusetts</wicri:regionArea></affiliation></author><author><name sortKey="Palai, Tommy" sort="Palai, Tommy" uniqKey="Palai T" first="Tommy" last="Palai">Tommy Palai</name><affiliation wicri:level="1"><nlm:affiliation>Department of Medicine, Faculty of Medicine, University of Botswana, Gaborone, Botswana.</nlm:affiliation><country xml:lang="fr">Botswana</country><wicri:regionArea>Department of Medicine, Faculty of Medicine, University of Botswana, Gaborone</wicri:regionArea></affiliation></author><author><name sortKey="Nkele, Isaac" sort="Nkele, Isaac" uniqKey="Nkele I" first="Isaac" last="Nkele">Isaac Nkele</name><affiliation wicri:level="1"><nlm:affiliation>Botswana-Harvard AIDS Institute Partnership, Gaborone, Botswana.</nlm:affiliation><country xml:lang="fr">Botswana</country><wicri:regionArea>Botswana-Harvard AIDS Institute Partnership, Gaborone</wicri:regionArea></affiliation></author><author><name sortKey="Bennett, Kara" sort="Bennett, Kara" uniqKey="Bennett K" first="Kara" last="Bennett">Kara Bennett</name><affiliation wicri:level="1"><nlm:affiliation>Bennett Statistical Consulting Inc, Ballston Lake, New York, United States of America.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Bennett Statistical Consulting Inc, Ballston Lake, New York</wicri:regionArea></affiliation></author><author><name sortKey="Lockman, Shahin" sort="Lockman, Shahin" uniqKey="Lockman S" first="Shahin" last="Lockman">Shahin Lockman</name><affiliation wicri:level="1"><nlm:affiliation>Botswana-Harvard AIDS Institute Partnership, Gaborone, Botswana.</nlm:affiliation><country xml:lang="fr">Botswana</country><wicri:regionArea>Botswana-Harvard AIDS Institute Partnership, Gaborone</wicri:regionArea></affiliation></author><author><name sortKey="Triant, Virginia A" sort="Triant, Virginia A" uniqKey="Triant V" first="Virginia A" last="Triant">Virginia A. Triant</name><affiliation wicri:level="1"><nlm:affiliation>Division of General Internal Medicine & Division of Infectious Diseases, Massachusetts General Hospital & Harvard Medical School, Boston, Massachusetts, United States of America.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Division of General Internal Medicine & Division of Infectious Diseases, Massachusetts General Hospital & Harvard Medical School, Boston, Massachusetts</wicri:regionArea></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Africa South of the Sahara (epidemiology)</term><term>American Heart Association</term><term>Atherosclerosis (epidemiology)</term><term>Atherosclerosis (virology)</term><term>Cross-Sectional Studies</term><term>HIV Infections (complications)</term><term>HIV Infections (epidemiology)</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pilot Projects</term><term>Risk Assessment</term><term>United States</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Afrique subsaharienne (épidémiologie)</term><term>Association américaine du coeur</term><term>Athérosclérose (virologie)</term><term>Athérosclérose (épidémiologie)</term><term>Humains</term><term>Infections à VIH ()</term><term>Infections à VIH (épidémiologie)</term><term>Mâle</term><term>Projets pilotes</term><term>États-Unis d'Amérique</term><term>Études transversales</term><term>Évaluation des risques</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Africa South of the Sahara</term><term>Atherosclerosis</term><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Athérosclérose</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Atherosclerosis</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Afrique subsaharienne</term><term>Athérosclérose</term><term>Infections à VIH</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>American Heart Association</term><term>Cross-Sectional Studies</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pilot Projects</term><term>Risk Assessment</term><term>United States</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Association américaine du coeur</term><term>Humains</term><term>Infections à VIH</term><term>Mâle</term><term>Projets pilotes</term><term>États-Unis d'Amérique</term><term>Études transversales</term><term>Évaluation des risques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">HIV-infected patients are at increased risk for cardiovascular disease (CVD). However, general population CVD risk prediction equations that identify HIV-infected patients at elevated risk have not been widely assessed in sub-Saharan African (SSA).</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28235058</PMID><DateCreated><Year>2017</Year><Month>02</Month><Day>24</Day></DateCreated><DateCompleted><Year>2017</Year><Month>08</Month><Day>21</Day></DateCompleted><DateRevised><Year>2017</Year><Month>10</Month><Day>15</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>12</Volume><Issue>2</Issue><PubDate><Year>2017</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>Cardiovascular disease risk prediction by the American College of Cardiology (ACC)/American Heart Association (AHA) Atherosclerotic Cardiovascular Disease (ASCVD) risk score among HIV-infected patients in sub-Saharan Africa.</ArticleTitle><Pagination><MedlinePgn>e0172897</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0172897</ELocationID><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">HIV-infected patients are at increased risk for cardiovascular disease (CVD). However, general population CVD risk prediction equations that identify HIV-infected patients at elevated risk have not been widely assessed in sub-Saharan African (SSA).</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">HIV-infected adults from 30-50 years of age with documented viral suppression were enrolled into a cross-sectional study in Gaborone, Botswana. Participants were screened for CVD risk factors. Bilateral carotid intima-media thickness (cIMT) was measured and 10-year predicted risk of cardiovascular disease was calculated using the Pooled Cohorts Equation for atherosclerotic CVD (ASCVD) and the 2008 Framingham Risk Score (FRS) (National Cholesterol Education Program III-NCEP III). ASCVD ≥7.5%, FRS ≥10%, and cIMT≥75th percentile were considered elevated risk for CVD. Agreement in classification of participants as high-risk for CVD by cIMT and FRS or ASCVD risk score was assessed using McNemar`s Test. The optimal cIMT cut off-point that matched ASCVD predicted risk of ≥7.5% was assessed using Youden's J index.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Among 208 HIV-infected patients (female: 55%, mean age 38 years), 78 (38%) met criteria for ASCVD calculation versus 130 (62%) who did not meet the criteria. ASCVD classified more participants as having elevated CVD risk than FRS (14.1% versus 2.6%, McNemar's exact test p = 0.01), while also classifying similar proportion of participants as having elevated CVD like cIMT (14.1% versus 19.2%, McNemar's exact test p = 0.34). Youden's J calculated the optimal cut point at the 81st percentile for cIMT to correspond to an ASCVD score ≥7.5% (sensitivity = 72.7% and specificity = 88.1% with area under the curve for the receiver operating characteristic [AUC] of 0.82, 95% Mann-Whitney CI: 0.66-0.99).</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">While the ASCVD risk score classified more patients at elevated CVD risk than FRS, ASCVD score classified similar proportion of patients as high risk when compared with established subclinical atherosclerosis. However, potential CVD risk category misclassification by established equations such as ASCVD may still exist among HIV-infected patients; hence there is still a need for development of a CVD risk prediction equation tailored to HIV-infected patients in SSA.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Mosepele</LastName><ForeName>Mosepele</ForeName><Initials>M</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-6051-0999</Identifier><AffiliationInfo><Affiliation>Department of Medicine, Faculty of Medicine, University of Botswana, Gaborone, Botswana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hemphill</LastName><ForeName>Linda C</ForeName><Initials>LC</Initials><AffiliationInfo><Affiliation>The Heart Center, Division of Cardiology, Massachusetts General Hospital & Harvard Medical School, Boston, Massachusetts, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Palai</LastName><ForeName>Tommy</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Department of Medicine, Faculty of Medicine, University of Botswana, Gaborone, Botswana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nkele</LastName><ForeName>Isaac</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>Botswana-Harvard AIDS Institute Partnership, Gaborone, Botswana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bennett</LastName><ForeName>Kara</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Bennett Statistical Consulting Inc, Ballston Lake, New York, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lockman</LastName><ForeName>Shahin</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Botswana-Harvard AIDS Institute Partnership, Gaborone, Botswana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Division of Infectious Diseases, Brigham & Women`s Hospital, Boston, Massachusetts, United States of America.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Immunology & Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Triant</LastName><ForeName>Virginia A</ForeName><Initials>VA</Initials><AffiliationInfo><Affiliation>Division of General Internal Medicine & Division of Infectious Diseases, Massachusetts General Hospital & Harvard Medical School, Boston, Massachusetts, United States of America.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R01 HL132786</GrantID><Acronym>HL</Acronym><Agency>NHLBI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R21 HL122138</GrantID><Acronym>HL</Acronym><Agency>NHLBI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R56 HL125029</GrantID><Acronym>HL</Acronym><Agency>NHLBI NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal 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MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010865" MajorTopicYN="N">Pilot Projects</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014481" MajorTopicYN="N">United States</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>10</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>02</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>2</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>2</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>8</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28235058</ArticleId><ArticleId IdType="doi">10.1371/journal.pone.0172897</ArticleId><ArticleId IdType="pii">PONE-D-16-43186</ArticleId><ArticleId IdType="pmc">PMC5325544</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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