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Non-high density lipoprotein cholesterol versus low density lipoprotein cholesterol as a discriminating factor for
Manoj Sigdel1, Binod Kumar Yadav, Prajwal Gyawali
1Department of Biochemistry, Manipal College of Medical Sciences, Pokhara, Nepal. manoj.sigdel@hotmail.com
Insights
Non-high-density lipoprotein cholesterol (non-HDL-C) and high-density lipoprotein cholesterol (HDL-C) are superior predictors of myocardial infarction (MI) compared to low-density lipoprotein cholesterol (LDL-C). These lipid measures do not require fasting, offering a more convenient assessment of cardiovascular risk.
Area of Science:
- Cardiovascular Medicine
- Clinical Biochemistry
- Lipid Metabolism
Background:
- Serum total cholesterol (TC) and LDL cholesterol (LDL-C) are standard clinical markers for cardiovascular risk assessment.
- Non-HDL cholesterol (non-HDL-C) is an alternative lipid measure, calculated as TC minus HDL-C.
- Unlike LDL-C, non-HDL-C and HDL-C do not necessitate a fasting blood sample.
Purpose of the Study:
- To compare the efficacy of non-HDL-C versus LDL-C in predicting myocardial infarction (MI).
- To evaluate lipid parameters as risk factors for MI in a hospital-based population.
Main Methods:
- A cross-sectional study involving 51 MI cases and 51 controls.
- MI diagnosis based on clinical history, ECG, and biochemical parameters.
- Lipid profile analysis including calculation of non-HDL-C (TC - HDL-C) from fasting blood samples.
Main Results:
- Dyslipidemia was significantly more prevalent in MI cases (42) than in controls (20).
- HDL-C showed the strongest association with MI (OR 5.85), followed by non-HDL-C (OR 3.77) and LDL-C (OR 2.70).
- Non-HDL-C demonstrated higher sensitivity and specificity than LDL-C for MI prediction, with a greater area under the receiver operating curve.
Conclusions:
- HDL-C and non-HDL-C are more effective than LDL-C in discriminating MI risk.
- Non-fasting measurement of HDL-C and non-HDL-C offers a practical alternative to fasting-based LDL-C testing for MI risk assessment.
Background:
Serum total cholesterol (TC) and LDL cholesterol (LDL-C) have been used as major laboratory measures in clinical practice to assess cardiovascular risk in the general population and disease management as well as prognosis in patients. However, some studies have also reported the use of non-HDL cholesterol (non-HDL-C). As non-HDL-C can be calculated by subtracting HDL-C from TC, both of which do not require fasting blood sample in contrast to LDL-C which requires fasting blood sample, we aimed to compare non-HDL-C with LDL-C as a predictor of myocardial infarction (MI).
Methods:
This hospital based cross sectional study was undertaken among 51 cases of MI and equal number of controls. MI was diagnosed based on the clinical history, ECG changes and biochemical parameters. 5 mL of fasting blood sample was collected from each research participant for the analysis of lipid profile. Non-HDL-C was calculated by using the equation; Non-HDL-C = TC - HDL-C. Statistical analysis was performed using SPSS 14.0.
Results:
42 MI cases were dyslipidemic in contrast to 20 dyslipidemic subjects under control group. The differences in the median values of each lipid parameter were statistically significant between MI cases and controls. The lipid risk factors most strongly associated with MI were HDL-C (OR 5.85, 95% CI 2.41-14.23, P value = 0.000) followed by non-HDL-C (OR 3.77, 95% CI 1.64-8.66, P value = 0.002), LDL-C/HDL-C (OR 3.38, 95% CI 1.44-7.89, P value = 0.005), TC/HDL-C (OR 2.93, 95% CI 1.36-7.56, P value = 0.026), LDL-C (OR 2.70, 95% CI 1.20-6.10, P value = 0.017), TC (OR 2.68, 95% CI 1.04-6.97, P value = 0.042) and Tg (OR 2.54, 95% CI 1.01-6.39, P value = 0.047). Area under the receiver operating curve was greater for non-HDL-C than for LDL-C. Non-HDL-C was also found to be more sensitive and specific than LDL-C for MI.
Conclusions:
HDL-C and non-HDL-C are better discriminating parameters than LDL-C for MI. Thus, we can simply perform test for HDL-C and non-HDL-C both of which do not require fasting blood sample rather than waiting for fasting blood sample to measure LDL-C.
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