Comparison of the Results of LDL-cholesterol by Automated Analyzer and Calculating by the Formula of Friedewald, Hata, Puavilai and Martin in Mahavajiralongkorn Thanyaburi Hospital
Keywords:
Low density lipoprotein cholesterol, Direct LDL-C, Calculated LDL-CAbstract
The assessment of LDL-cholesterol (LDL-C) levels plays a crucial role in lipid profile analysis, aiding in the evaluation of cardiovascular risk factors such as coronary heart disease and heart attack. However, employing automated analyzers for LDL-C measurement incurs considerable costs. This study aimed to assess LDL-C values derived from four equations – Friedewald, Hata, Puavilai, and Martin – by comparing them with values obtained through direct measurement, aiming to identify the most suitable equation for adoption at Mahavajiralongkorn Thanyaburi Hospital. The study includes 2,432 health examination data collected from patients and staff members between 2019 and 2023. This study revealed a strong correlation between direct measurement methods and values calculated from the Martin, Puavilai, Friedewald, and Hata equations at triglyceride levels equal to or below 400 mg/dL, with correlation coefficients of 0.962, 0.952, 0.942, and 0.920, respectively. Upon stratifying participants into five triglyceride groups: 0–99, 100–149, 150–199, 200–399, and greater than or equal to 400 mg/dL, average LDL-C values from direct measurements were significantly higher than those calculated by all equations (p < 0.05) across all triglyceride levels. Notably, the Martin equation exhibited the highest correlation coefficient (r = 0.953–0.969). Consequently, it is concluded that the Martin equation could serve as a viable alternative for direct LDL-C analysis. However, the study underscores potential discrepancies in calculated values, particularly at higher triglyceride levels, necessitating caution when utilizing equations for such calculations.
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