Universidad Peruana Cayetano Heredia

Comparison of Nonblood-Based and Blood-Based Total CV Risk Scores in Global Populations

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dc.contributor.author Gaziano, Thomas-A.
dc.contributor.author Abrahams-Gessel, Shafika
dc.contributor.author Alam, Sartaj
dc.contributor.author Alam, Dewan
dc.contributor.author Ali, Mohammed
dc.contributor.author Bloomfield, Gerald
dc.contributor.author Carrillo Larco, Rodrigo Martín
dc.contributor.author Dorairaj, Prabhakaran
dc.contributor.author Gutierrez, Laura
dc.contributor.author Irazola, Vilma
dc.contributor.author Levitt, Naomi-S.
dc.contributor.author Miranda, J. Jaime
dc.contributor.author Bernabé Ortiz, Antonio
dc.contributor.author Pandya, Ankur
dc.contributor.author Rubinstein, Adolfo
dc.contributor.author Steyn, Krisela
dc.contributor.author Xavier, Denis
dc.contributor.author Yan, Lijing-L.
dc.date.accessioned 2019-02-06T14:45:34Z
dc.date.available 2019-02-06T14:45:34Z
dc.date.issued 2016
dc.identifier.uri https://hdl.handle.net/20.500.12866/5069
dc.description.abstract BACKGROUND: Cost-effective primary prevention of cardiovascular disease (CVD) in low- and middle-income countries requires accurate risk assessment. Laboratory-based risk tools currently used in high-income countries are relatively expensive and impractical in many settings due to lack of facilities. OBJECTIVES: This study sought to assess the correlation between a non-laboratory-based risk tool and 4 commonly used, laboratory-based risk scores in 7 countries representing nearly one-half of the world's population. METHODS: We calculated 10-year CVD risk scores for 47,466 persons with cross-sectional data collected from 16 different cohorts in 9 countries. The performance of the non-laboratory-based risk score was compared with 4 laboratory-based risk scores: Pooled Cohort Risk Equations (ASCVD [Atherosclerotic Cardiovascular Disease]), Framingham, and SCORE (Systematic Coronary Risk Evaluation) for high- and low-risk countries. Rankings of each score were compared using Spearman rank correlations. Based on these correlations, we measured concordance between individual absolute CVD risk as measured by the Harvard NHANES (National Health and Nutrition Examination Survey) risk score, and the 4 laboratory-based risk scores, using both the conventional Framingham risk thresholds of >20% and the recent ASCVD guideline threshold of >7.5%. RESULTS: The aggregate Spearman rank correlations between the non-laboratory-based risk score and the laboratory-based scores ranged from 0.915 to 0.979 for women and from 0.923 to 0.970 for men. When applying the conventional Framingham risk threshold of >20% over 10 years, 92.7% to 96.0% of women and 88.3% to 92.8% of men were equivalently characterized as "high" or "low" risk. Applying the recent ASCVD guidelines risk threshold of >7.5% resulted in risk characterization agreement for women ranging from 88.1% to 94.4% and from 89.0% to 93.7% for men. CONCLUSIONS: The correlation between non-laboratory-based and laboratory-based risk scores is very high for both men and women. Potentially large numbers of high-risk individuals could be detected with relatively simple tools. en_US
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartofseries Global Heart
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Adult en_US
dc.subject Age Factors en_US
dc.subject Aged en_US
dc.subject Body Mass Index en_US
dc.subject Cardiovascular Diseases/blood/epidemiology en_US
dc.subject China en_US
dc.subject Cholesterol, HDL/blood en_US
dc.subject Cholesterol/blood en_US
dc.subject Cost-Benefit Analysis en_US
dc.subject Cross-Sectional Studies en_US
dc.subject Diabetes Mellitus/epidemiology en_US
dc.subject Dyslipidemias/blood/epidemiology en_US
dc.subject Female en_US
dc.subject Global Health en_US
dc.subject Humans en_US
dc.subject Hypertension/blood/epidemiology en_US
dc.subject India en_US
dc.subject Kenya en_US
dc.subject Male en_US
dc.subject Middle Aged en_US
dc.subject Pakistan en_US
dc.subject Risk Assessment/methods en_US
dc.subject Sex Factors en_US
dc.subject Smoking/epidemiology en_US
dc.subject South Africa en_US
dc.subject South America en_US
dc.title Comparison of Nonblood-Based and Blood-Based Total CV Risk Scores in Global Populations en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1016/j.gheart.2015.12.003
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.04
dc.relation.issn 2211-8179


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