Erschienen in:
01.11.2018 | Lipids (E. Michos, Section Editor)
Time to Make a Change: Assessing LDL-C Accurately in the Era of Modern Pharmacotherapeutics and Precision Medicine
verfasst von:
Vincent A. Pallazola, Renato Quispe, Mohamed B. Elshazly, Rachit Vakil, Vasanth Sathiyakumar, Steven R. Jones, Seth S. Martin
Erschienen in:
Current Cardiovascular Risk Reports
|
Ausgabe 11/2018
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Abstract
Purpose of Review
The Friedewald equation for estimation of low-density lipoprotein cholesterol (LDL-C) was published in 1972 as an alternative to direct assessment by preparative ultracentrifugation. In this equation, very low-density lipoprotein is estimated by dividing triglycerides by a fixed factor (5 in mg/dL or 2.2 in mmol/L) and subtracting this term from non-high-density lipoprotein cholesterol (non-HDL-C). This method was derived in fasting samples from a small cohort of patients with primarily genetic dyslipidemias followed at the NIH. The method served well as the global standard for LDL-C estimation for decades, but is not well suited to modern clinical practice because it tends to underestimate LDL-C at low LDL-C and high triglyceride levels. The concern is that underestimation could lead to undertreatment in high-risk patients.
Recent Findings
Derived from big data and now validated around the world, a novel LDL-C equation created at Johns Hopkins replaces the fixed factor seen in the classic equation with a patient-specific variable based on triglyceride and non-HDL-C levels.
Summary
Given its superior accuracy in fasting and non-fasting populations alike, the novel equation is now the preferred method for LDL-C estimation and is being incorporated by leading clinical laboratories.