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Cardiovascular risk in HIV-infected individuals : a comparison of three risk prediction algorithms

2019Journal article Open access
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dc.contributor.authorPolicarpo, Sara
dc.contributor.authorRodrigues, Teresa
dc.contributor.authorMoreira, Ana Catarina
dc.contributor.authorValadas, Emília
dc.date.accessioned2020-11-19T11:26:21Z
dc.date.available2020-11-19T11:26:21Z
dc.date.issued2019
dc.description© 2019 Published by Elsevier España, S.L.U. on behalf of Sociedade Portuguesa de Cardiologia. This is an open access article under CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/)pt_PT
dc.description.abstractIntroduction: Cardiovascular (CV) risk is known to be increased in HIV-infected individuals. Our aim was to assess CV risk in HIV-infected adults. Methods: CV risk was estimated for each patient using three different risk algorithms: SCORE, the Framingham risk score (FRS), and DAD. Patients were classified as at low, moderate or high CV risk. Clinical and anthropometric data were collected. Results: We included 571 HIV-infected individuals, mostly male (67.1%; n=383). Patients were divided into two groups according to antiretroviral therapy (ART): naïve (7.5%; n=43) or under ART (92.5%; n=528). The mean time since HIV diagnosis was 6.7±6.5 years in the naive group and 13.3±6.1 years in the ART group. Metabolic syndrome (MS) was identified in 33.9% (n=179) and 16.3% (n=7) of participants in the ART and naïve groups, respectively. MS was associated with ART (OR=2.7; p=0.018). Triglycerides ≥150 mg/dl (OR=13.643, p<0.001) was one of the major factors contributing to MS. Overall, high CV risk was found in 4.4% (n=23) of patients when the SCORE tool was used, in 20.5% (n=117) using the FRS, and in 10.3% (n=59) using the DAD score. The observed agreement between the FRS and SCORE was 55.4% (k=0.183, p<0.001), between the FRS and DAD 70.5% (k=0.465, p<0.001), and between SCORE and DAD 72.3% (k=0.347, p<0.001). Conclusion: On the basis of the three algorithms, we detected a high rate of high CV risk, particularly in patients under ART. The FRS was the algorithm that classified most patients in the high CV risk category (20.5%). In addition, a high prevalence of MS was identified in this patient group.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRev Port Cardiol. 2019 Jul;38(7):463-470pt_PT
dc.identifier.doi10.1016/j.repc.2019.08.002pt_PT
dc.identifier.eissn2174-2030
dc.identifier.issn0870-2551
dc.identifier.urihttp://hdl.handle.net/10451/44931
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/journal/revista-portuguesa-de-cardiologiapt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectCardiovascular riskpt_PT
dc.subjectHIV/Acquired immunodeficiency syndromept_PT
dc.subjectMetabolic syndromept_PT
dc.subjectPortugalpt_PT
dc.titleCardiovascular risk in HIV-infected individuals : a comparison of three risk prediction algorithmspt_PT
dc.title.alternativeRisco cardiovascular em infetados por VIH : comparação de três ferramentas de avaliaçãopt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage470pt_PT
oaire.citation.issue7pt_PT
oaire.citation.startPage463pt_PT
oaire.citation.titleRevista Portuguesa de Cardiologiapt_PT
oaire.citation.volume38pt_PT
person.familyNamePolicarpo
person.familyNameMoreira
person.familyNameValadas
person.givenNameSara
person.givenNameAna Catarina
person.givenNameEmília
person.identifier.ciencia-idC81E-CC41-DFB0
person.identifier.orcid0000-0001-8594-1720
person.identifier.orcid0000-0001-7031-6738
person.identifier.orcid0000-0001-5213-1473
person.identifier.scopus-author-id16234261500
person.identifier.scopus-author-id6603593138
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication18ef9bc3-1f7a-414b-b2aa-a1163f2f2367
relation.isAuthorOfPublication99a1310a-f2d3-4b0d-b756-706d04fc29fa
relation.isAuthorOfPublication5eb6f5fc-a01f-4938-832e-bad672e8c877
relation.isAuthorOfPublication.latestForDiscovery5eb6f5fc-a01f-4938-832e-bad672e8c877

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