Date of Graduation
Master of Science in Physician Assistant Studies
Cardiovascular health is often assessed through predictive tools that rely upon measured lipid values. It has long been held that lipids were most accurately measured with the patient in the fasting state; however, mounting evidence has suggested that nonfasting lipid measurements are not significantly different from fasting. This systematic review examined the cardiovascular disease predictive value of nonfasting lipid levels, specifically LDL-C, compared to fasting lipid measurements.
Nile, Richard, "Nonfasting LDL-C as a Predictor of Cardiovascular Event Risk" (2016). School of Physician Assistant Studies. 584.