Srivani, N; Srujana, S; Shahista, S; Kumar, OS

ABSTRACT

Background:

Estimation of low density lipoprotein cholesterol (LDL-C) is crucial in management of coronary artery disease patients. There are many homogenous assays currently available for the estimation of serum LDL-C. Most clinical laboratories determine LDL-C (mg/dl) by Friedewald’s formula (FF). Recently Anandaraja and colleagues have derived a new formula for calculating LDLC. This formula needs to be evaluated before it is extensively applied in diagnosis.

Aim:

The aim of this study was to compare the results obtained by direct homogenous assay for LDLC to those obtained by Friedewald’s and Anandaraja’s formulas with the assumption that the results obtained by direct assay are the most accurate. Materials and

methods:

We measured Lipid profile (TC, TG, HDL-C, D-LDL-C) by direct homogenous method in 715 fasting samples. Simultaneously Friedewald’s and Anandaraja’s formulas were also used for calculation of LDL-C (FF-LDL-C and AR-LDL-C, respectively).

Results:

The mean LDL-C levels were 117.78 ± 13.797, 115.51 ± 12.854 and 112.93 ± 11.671 mg/dl for D-LDL-C, FF-LDL-C and AR-LDL-C respectively. There was a statistically significant difference between the results (P ˂ 0.001) obtained by calculation formulas compared to the measured LDL-C. There was underestimation of LDL-C by 2.27 mg/dl and 4.85 mg/dl by Friedewald’s and Sridevi V, Vinit Anand, Mahendrappa S.K. Comparison of Friedewald’s and Anandaraja’s formula with direct estimation of low-density lipoprotein cholesterol in Shivamogga population. IAIM, 2016; 3(7) 120-131. Page 121 Anandaraja’s formulas respectively. In this study, the Pearson’s correlation between FF-LDL-C and D-LDL-C was 0.881 and that between AR-LDL-C and D-LDL-C was 0.880. Bland–Altman graphs showed a definite agreement between mean and differences of the calculation formulas and direct LDL-C with 95% of values lying with in ±2 SD limits.

Conclusion:

The results of our study showed that FF is better in agreement with D-LDL-C than Anandaraja’s formula for estimation of LDL-C by calculation though both lead to its underestimation.

Background:

Aim:

methods:

Results:

Conclusion:

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