According to a new research.

We used a method called cointegration to investigate common movements in epidemiologic data series, stated Fomby, a professor of economics at SMU, who led the statistical evaluation with statistician Wayne A. Woodward, professor and department chair in SMU’s Section of Statistical Science. Business lead author on the analysis was Edward H. Livingston, M.D., in the division of Endocrine and Gastrointestinal Surgery at University of Texas Southwestern Medical School, Dallas; with the Department of Medical procedures, Veterans Affairs INFIRMARY Dallas; and in the Division of Bioengineering, University of Texas at Arlington. Co-authoring was Robert W Also. Haley, M.D., in the Section of Internal Medicine-Epidemiology, UT Southwestern Medical School. For a link to the study, see Regional and national data move together over time The study viewed 27 years of data from the National Medical center Discharge Survey, which is compiled by the Centers for Disease Control and Avoidance annually.This is assessed by an in vitro technique examining the HDL particle’s capability to accept cholesterol through the ABCAI transporters located in macrophages. This method has been published widely and is recognized as the best-understood biomarker for HDL function currently, although HDL features is a lot broader than cholesterol efflux. This paper may be the first one to show that it is worthwhile assessing HDL function. The cholesterol efflux capability was inversely linked to carotid intima press thickness, in addition to the HDL-C levels. Although proof has accumulated in the last years and only assessing HDL function we didn’t, before, have any clinical proof that a biomarker for assessing HDL function could predict coronary disease independent of the HDL-C levels.