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Teerakanchana's equation transcends over 12 other LDL-C quantification formulae in the North Indian population
Ghulam Mehdi Dar1, Manoswini Dash1, Bhawna Mahajan2
1Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), Jawaharlal Nehru Marg, New Delhi 110002, India.
Insights
Teerakanchana and Vujovic formulas show high accuracy for estimating Low-Density Lipoprotein-cholesterol (LDL-C) levels. These formulas may offer a reliable alternative to the Friedewald formula in North Indian healthcare settings.
Area of Science:
- Clinical Chemistry
- Cardiovascular Disease Biomarkers
- Epidemiology
Background:
- Cardiovascular diseases (CVDs) mortality is rising globally.
- Accurate Low-Density Lipoprotein-cholesterol (LDL-C) measurement is crucial for CVD risk assessment.
- Friedewald's formula is widely used in India but its accuracy is debated.
Purpose of the Study:
- To evaluate the accuracy of various formulas for LDL-C quantification.
- To identify a formula that best agrees with direct LDL-C measurement methods.
Main Methods:
- Lipid profiles were analyzed using a direct homogenous method (LDL-C_M).
- LDL-C was calculated using 13 different formulas.
- Statistical correlation and agreement analyses were performed against LDL-C_M.
Main Results:
- Teerakanchana's formula demonstrated strong positive correlation (r=0.914) and agreement (Lin's CCC=0.929) with LDL-C_M.
- Vujovic's formula also showed good correlation (r=0.903) and agreement (Lin's CCC=0.925).
Conclusions:
- Teerakanchana and Vujovic formulas are highly accurate for LDL-C estimation.
- These formulas may serve as effective replacements for Friedewald's formula in North Indian public healthcare.
Background:
Over 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.
Methods:
Lipid 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.
Results:
Teerakanchana'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).
Conclusions:
Teerakanchana and Vujovic's formula may replace Friedewald to quantify LDL-C in the public health care settings of the North Indian population.
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