Universidad Peruana Cayetano Heredia

Agreement Between Cardiovascular Disease Risk Scores in Resource-Limited Settings: Evidence from 5 Peruvian Sites

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dc.contributor.author Bazo-Alvarez, Juan Carlos
dc.contributor.author Quispe, Renato
dc.contributor.author Peralta, Frank
dc.contributor.author Poterico, Julio A.
dc.contributor.author Valle, Giancarlo A.
dc.contributor.author Burroughs, Melissa
dc.contributor.author Pillay, Timesh
dc.contributor.author Gilman, Robert Hugh
dc.contributor.author Checkley, William
dc.contributor.author Málaga Rodríguez, Germán Javier
dc.contributor.author Smeeth, Liam
dc.contributor.author Bernabé Ortiz, Antonio
dc.contributor.author Miranda, J. Jaime
dc.date.accessioned 2019-02-06T14:52:18Z
dc.date.available 2019-02-06T14:52:18Z
dc.date.issued 2015
dc.identifier.uri https://hdl.handle.net/20.500.12866/5297
dc.description.abstract It is unclear how well currently available risk scores predict cardiovascular disease (CVD) risk in low-income and middle-income countries. We aim to compare the American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort risk equations (ACC/AHA model) with 6 other CVD risk tools to assess the concordance of predicted CVD risk in a random sample from 5 geographically diverse Peruvian populations. We used data from 2 Peruvian, age and sex-matched, population-based studies across 5 geographical sites. The ACC/AHA model were compared with 6 other CVD risk prediction tools: laboratory Framingham risk score for CVD, non-laboratory Framingham risk score for CVD, Reynolds risk score, systematic coronary risk evaluation, World Health Organization risk charts, and the Lancet chronic diseases risk charts. Main outcome was in agreement with predicted CVD risk using Lin's concordance correlation coefficient. Two thousand one hundred and eighty-three subjects, mean age 54.3 (SD +/- 5.6) years, were included in the analysis. Overall, we found poor agreement between different scores when compared with ACC/AHA model. When each of the risk scores was used with cut-offs specified in guidelines, ACC/AHA model depicted the highest proportion of people at high CVD risk predicted at 10 years, with a prevalence of 29.0% (95% confidence interval, 26.9-31.0%), whereas prevalence with World Health Organization risk charts was 0.6% (95% confidence interval, 0.2-8.6%). In conclusion, poor concordance between current CVD risk scores demonstrates the uncertainty of choosing any of them for public health and clinical interventions in Latin American populations. There is a need to improve the evidence base of risk scores for CVD in low-income and middle-income countries. en_US
dc.language.iso eng
dc.publisher Wolters Kluwer Health
dc.relation.ispartofseries Critical Pathways in Cardiology
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Female en_US
dc.subject Humans en_US
dc.subject Male en_US
dc.subject Cross-Sectional Studies en_US
dc.subject Aged en_US
dc.subject Middle Aged en_US
dc.subject Peru/epidemiology en_US
dc.subject Rural Population en_US
dc.subject Prevalence en_US
dc.subject Risk Assessment en_US
dc.subject Urban Population en_US
dc.subject United States en_US
dc.subject Cardiovascular Diseases/diagnosis/epidemiology en_US
dc.subject Health Resources/supply & distribution en_US
dc.subject Models, Statistical en_US
dc.subject American Heart Association en_US
dc.title Agreement Between Cardiovascular Disease Risk Scores in Resource-Limited Settings: Evidence from 5 Peruvian Sites en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1097/HPC.0000000000000045
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.04
dc.relation.issn 1535-2811


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