EVALUATION OF THE LINEAR CORRELATION BETWEEN DIRECT AND INDIRECT METHODS FOR LDL-CHOLESTEROL QUANTIFICATION AT PHUONG CHAU INTERNATIONAL HOSPITAL
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Abstract
Background: Low-density lipoprotein cholesterol (LDL-C) is a critical biochemical marker used to assess the risk of atherosclerosis. In addition to direct LDL-C measurement methods, various indirect estimation formulas have been developed to calculate LDL-C based on routine serum lipid profiles. Objectives: Determining the mean values, the differences, the linear regression equations and correlation coefficients between directly measured LDL-C values and those estimated using the Friedewald, Vujovic, Hattori, and Cordova formulas. Materials and method: This cross-sectional study was conducted on 1228 lipid profile results that included direct LDL-C measurements. The samples were collected from April 2024 to December 2024 at Phuong Chau International Hospital. LDL-C values calculated using the aforementioned formulas were compared to directly measured values. Results: The mean LDL-C concentration obtained via direct measurement was 3.19±1.03 mmol/L. The mean values calculated using the Friedewald, Vujovic, Hattori, and Cordova formulas were 2.97±1.03, 3.24±1.02, 3.31±0.98, and 2.98±0.96 mmol/L, respectively. The corresponding Pearson correlation coefficients were r=0.956, r=0.961, r=0.929; and r=0.825. The linear regression equations for each formula, respectively, were: y=0.96x−0.08; y=0.95x+0.22; y=0.88x+0.51; and y = 0.69x+0.78. Conclusion: The Friedewald, Vujovic, Hattori, and Cordova formulas demonstrate strong positive correlations with directly measured LDL-C values. Nonetheless, their application is not recommended in cases where triglyceride levels exceed 4.51 mmol/L due to decreased accuracy.
Keywords
LDL-C, Friedewald formula, Vujovic formula, Hattori formula, Cordova formula
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