Nomikos, Tzortzis, Georgoulis, Michael, Chrysohoou, Christina, Damigou, Evangelia, Barkas, Fotios, Skoumas, Ioannis, Liberopoulos, Evangelos, Pitsavos, Christos, Tsioufis, Costas, Sfikakis, Petros P., Tselepis, Alexandros, and Panagiotakos, Demosthenes B.
Accurate estimation of low‐density lipoprotein cholesterol (LDL‐C) is important for monitoring cardiovascular disease (CVD) risk and guiding lipid‐lowering therapy. This study aimed to evaluate the magnitude of discordance of LDL‐C levels calculated by different equations and its effect on CVD incidence. The study sample consisted of 2354 CVD‐free individuals (49% males, mean age 45 ± 14 years); 1600 were re‐evaluated at 10 years and 1570 at 20 years. LDL‐C was estimated using the Friedewald, Martin/Hopkins, and Sampson equations. Participants were categorized as discordant if estimated LDL‐C was below the CVD‐risk specific cut‐off for one equation and equal/above for its comparator. The Friedewald and Martin/Hopkins equations presented a similar performance in estimating LDL‐C; however, both yielded lower values compared to the Sampson. In all pairwise comparisons, differences were more pronounced at lower LDL‐C levels, while the Friedewald equation significantly underestimated LDL‐C in hypertriglyceridemic participants. Discordance was evident in 11% of the study population, and more specifically 6%, 22%, and 20% for Friedewald versus Martin/Hopkins, Friedewald versus Sampson and Martin/Hopkins versus Sampson equations, respectively. Among discordant participants, median (1st, 3rd quartile) difference in LDL‐C was −4.35 (−10.1, 1.95), −10.6 (−12.3, −9.53) and −11.3 (−11.9, −10.6) mg/dL for Friedewald versus Martin/Hopkins, Friedewald versus Sampson and Martin/Hopkins versus Sampson equations, respectively. The 10‐ and 20‐year CVD survival model that included LDL‐C values of the Martin‐Hopkins equation outperformed the predictive ability of those based on the Friedewald or Sampson equations. Significant differences in estimated LDL‐C exist among equations, which may result in LDL‐C underestimation and undertreatment. [ABSTRACT FROM AUTHOR]