Article ID Journal Published Year Pages File Type
5978341 International Journal of Cardiology 2011 7 Pages PDF
Abstract

BackgroundAge, gender, and race are factors that influence atherosclerotic coronary heart disease (CHD) risk and may conceivably affect the efficacy of lipid-altering drugs.MethodsPost hoc analysis of two multicenter, 6-week, double-blind, randomized, parallel-group trials assessed age (< 65 and ≥ 65 years), gender, and race (white, black, and other) effects on atorvastatin plus ezetimibe versus up-titration of atorvastatin in hypercholesterolemic patients with CHD risk. High CHD risk subjects with low-density lipoprotein (LDL) cholesterol levels ≥ 70 mg/dL (~ 1.81 mmol/L) during stable atorvastatin 40 mg therapy were randomized to atorvastatin 40 mg plus ezetimibe 10 mg, or up-titrated to atorvastatin 80 mg. Moderately high CHD risk subjects with LDL cholesterol levels ≥ 100 mg/dL (~ 2.59 mmol/L) with atorvastatin 20 mg were randomized to atorvastatin 20 mg plus ezetimibe 10 mg, or atorvastatin 40 mg.ResultsAlthough some variability existed, age, gender, and race subgroups did not substantially differ from the entire patient population with regard to lipid-altering findings. Ezetimibe plus atorvastatin produced greater percent reductions in LDL cholesterol, total cholesterol, triglycerides, non-high-density lipoprotein (HDL) cholesterol, and apolipoprotein B than up-titration of atorvastatin for all subgroups. HDL cholesterol and apolipoprotein AI changes were small and variable.ConclusionTreatment efficacy in age, gender, and race subgroups did not substantially differ from the entire study population. Ezetimibe combined with atorvastatin generally produced greater incremental reductions in LDL cholesterol and several other key lipid parameters compared with doubling the atorvastatin dose in hypercholesterolemic patients with high or moderately high CHD risk. These results suggest that co-administration of ezetimibe with statins is a useful therapeutic option for treatment of dyslipidemia in differing patient populations.

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