High-Density Lipoprotein Particle Number

High-density lipoprotein particle number: a better measure to quantify high-density lipoprotein?

Limitations in our ability to predict cardiovascular risk have fueled efforts to identify novel risk markers and to refine the measurement of traditional risk factors, such as low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). Standard assays to evaluate LDL-C and HDL-C quantify the cholesterol content within the respective lipoprotein fraction. Howeve...

cholesterol/high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, non–high-density lipoprotein cholesterol, or low-density lipoprotein particle concentration and guideline categories of low-density lipoprotein cholesterol or non–high-density lipoprotein cholesterol

International clinical practice guidelines on dyslipidemia emphasize the importance of matching the use and intensity of statin therapy with the absolute risk of atherosclerotic cardiovascular disease (CVD). Indeed, independent of the baseline level of dyslipidemia, patients who have entered the intervention arms of randomized clinical trials of statin therapy with similar absolute risks of CVD...

Novel therapies focused on the high-density lipoprotein particle.

Cardiovascular disease (CVD) remains a major burden for morbidity and mortality in the general population, despite current efficacious low-density lipoprotein-cholesterol-lowering therapies. Consequently, novel therapies are required to reduce this residual risk. Prospective epidemiological studies have shown that high-density lipoprotein-cholesterol (HDL-C) levels are inversely correlated with...

High density Lipoprotein; What to Measure: Quality or Quantity?

High -density lipoprotein cholesterol as a predictor for diabetes mellitus

Background: Diabetes is a prevalent chronic disease around the world. To evaluate risk of diabetes comprehensively, we developed a score model for the risk prediction with HDL-C as a protective factor. Methods: We extracted physical examination data of 2728 individuals. The data contain 18 demographic and clinical variables. To identify the statistical significant feature variables, the backwa...