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Cardiovascular Disease Prevention: Matching Evidence‐Based Algorithms With Individualized Care
Author(s) -
Madanieh R,
Hasan R K,
Anusionwu O F,
Blumenthal R S,
Blaha M J
Publication year - 2013
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1038/clpt.2013.3
Subject(s) - medicine , randomized controlled trial , statin , personalized medicine , intensive care medicine , clinical pharmacology , coronary artery disease , clinical trial , diabetes mellitus , primary prevention , disease , bioinformatics , pharmacology , biology , endocrinology
The appropriate use of statins in primary prevention remains a matter of debate. Although statins reduce cardiovascular events at all levels of baseline risk, they are associated with rare but important side effects including incident diabetes. Herein, we review strategies for statin allocation ranging from strict “evidence‐based” adherence to randomized controlled clinical trial (RCT) entry criteria to more “personalized” risk assessment using high‐sensitivity C‐reactive protein (hsCRP), coronary artery calcification (CAC), or genetic testing. Current guidelines advocate an unusual middle ground between an evidence‐based approach and a personalized approach. Clinical Pharmacology & Therapeutics (2013); 93 4, 321–323. doi: 10.1038/clpt.2013.3