Teerakanchana’s equation transcends over 12 other LDL-C quantification formulae in the North Indian population

Abstract

BackgroundOver the last 3 decades, there has been a steady rise in global mortality due to cardiovascular diseases (CVDs). Therefore, timely diagnosis of CVDs is paramount. Low-Density Lipoprotein-cholesterol (LDL-C) in blood serum is one of the biomarkers for the risk assessment of CVDs, measured by direct assays and indirect approaches. The indirect method of LDL-C quantification by Friedewald’s formula is more widely used in Indian clinical settings than direct assays due to its time and cost-effectiveness. However, its accuracy has been questioned for a long. We tried to find the formula that work in best agreement with the direct method. MethodsLipid profiling was done following a direct homogenous method (LDL-C_M) and LDL-C was calculated by 13 formula. The LDL-C values were categorized into groups based on TG. All the formula were statistically correlated with LDL-C_M. ResultsTeerakanchana’s formula has shown a strong positive correlation (r = 0.914) and good agreement M (Lin’s CCC = 0.929, CI = 0.918–0.939) with LDL-C_M, followed by Vujovic’s formula (r = 0.903, Lin’s CCC = 0.925, CI = 0.912–0.936). ConclusionsTeerakanchana and Vujovic’s formula may replace Friedewald to quantify LDL-C in the public health care settings of the North Indian population.