Atherosclerotic cardiovascular disease risk assessment and predictors of statin use in Filipino-American Women
Autor: | Irma B. Ancheta, Vikki G. Nolan, Rhonda M. Cooper-DeHoff, J. Carolyn Graff, Jiajing Wang, Nancy Borja-Hart |
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Rok vydání: | 2018 |
Předmět: |
Adult
medicine.medical_specialty Statin medicine.drug_class Population Context (language use) 030226 pharmacology & pharmacy Risk Assessment Cohort Studies 03 medical and health sciences 0302 clinical medicine Risk Factors Internal medicine Epidemiology medicine Secondary Prevention Humans Pharmacology (medical) 030212 general & internal medicine education Aged Pharmacology education.field_of_study Asian business.industry American Heart Association Middle Aged Atherosclerosis United States Primary Prevention Cross-Sectional Studies Cardiovascular Diseases Cohort Female Guideline Adherence Hydroxymethylglutaryl-CoA Reductase Inhibitors business Risk assessment Body mass index Cohort study |
Zdroj: | Journal of clinical pharmacy and therapeutics. 44(4) |
ISSN: | 1365-2710 |
Popis: | WHAT IS KNOWN AND OBJECTIVE Race and gender disparities in the context of appropriate treatment with lipid-lowering therapies do exist. The 2013 American College of Cardiology (ACC)/American Heart Association (AHA) guidelines outlined four groups, three for primary prevention and one for secondary prevention, whom would benefit from statin therapy to target atherosclerotic cardiovascular disease (ASCVD). The application of these recommendations in Filipino women living in the United States is unknown; however, this population is known to have elevated cardiovascular risk. Socio-economic and clinical characteristics that predict statin utilization of this Asian American subgroup need to be explored. METHODS This was an exploratory analysis of data collected during a cross-sectional study of Filipino-American Women (FAW). The Pooled Cohort equation was used to estimate 10-year ASCVD risk. Bivariate analysis was employed to determine the association between statin treatment and clinical and socio-economic factors. Data were analysed using SAS® 9.4; statistical significance was set at P |
Databáze: | OpenAIRE |
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