Logo image
Use of Lipid-Lowering Medications and the Likelihood of Achieving Optimal LDL-Cholesterol Goals in Coronary Artery Disease Patients
Journal article   Open access   Peer reviewed

Use of Lipid-Lowering Medications and the Likelihood of Achieving Optimal LDL-Cholesterol Goals in Coronary Artery Disease Patients

Dean G. Karalis, Brett Victor, Lilian Ahedor and Longjian Liu
Cholesterol, v 2012
25 Jul 2012
PMID: 22888414
url
https://doi.org/10.1155/2012/861924View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Background . In clinical practice, most coronary artery disease patients are not achieving their recommend LDL-cholesterol goal of <70 mg/dL. Methods. We conducted a retrospective analysis of outpatient electronic health records and the most recent lipid profile, lipid-lowering medications and doses were collected. Results. We identified 9950 coronary artery disease patients. Only 37% on a statin alone achieved an LDL-cholesterol of <70 mg/dL, and most were on moderate-to-high-potency statins. The intensity of statin therapy did not improve LDL-cholesterol goal attainment. Among patients on combination therapy, 41% on statin plus ezetimibe and 46% on statin plus niacin achieved an LDL-cholesterol of <70 mg/dL ( and <0.0001 versus statin alone). If patients were switched to a high-potency statin LDL-cholesterol goal attainment of <70 mg/dL would increase to 46% and would increase up to 72% with combination therapy. Conclusions. Most coronary artery disease patients in clinical practice do not attain an LDL-cholesterol of <70 mg/dL, even among patients on high potency statins. The combination of statin plus either ezetimibe or niacin is the most effective regimen to achieve an LDL-cholesterol of <70 mg/dL, however, these drug combinations are used infrequently in clinical practice.

Metrics

12 Record Views
57 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Web of Science research areas
Endocrinology & Metabolism
Logo image