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Is evaluation of non-HDL-C better than calculated LDL-C in CAD patients? MMIMSR experiences
Gobardhan Kathariya1, Jyoti Aggarwal1, Paras Garg2
1Department of Biochemistry, MMIMSR, Mullana, Ambala, India.
Insights
Non-high-density lipoprotein cholesterol (non-HDL-C) is a superior marker for coronary artery disease (CAD) risk assessment compared to LDL-C. This patient-friendly parameter is more accurate, especially in non-fasting states, and should be included in routine lipid profiles.
Area of Science:
- Cardiovascular Medicine
- Clinical Chemistry
- Biomarker Discovery
Background:
- Coronary artery disease (CAD) poses a significant global health challenge.
- Accurate assessment of CAD risk is crucial for effective patient management.
- Existing lipid profile markers may have limitations in predicting CAD risk.
Purpose of the Study:
- To identify a more effective marker for assessing coronary artery disease (CAD) risk.
- To compare the efficacy of non-high-density lipoprotein cholesterol (non-HDL-C) against LDL-C calculated by the Friedwald formula.
Main Methods:
- Serum lipid profiles (total cholesterol, triglycerides, HDL-C) were measured in 100 CAD patients and 50 healthy controls.
- LDL-C and non-HDL-C were calculated using the Friedwald formula and direct subtraction, respectively.
- Statistical analyses included independent t-tests, subgroup analysis based on triglyceride levels, and receiver operating characteristic (AUROC) curve analysis.
Main Results:
- Non-HDL-C levels were significantly higher than Friedwald-calculated LDL-C in both patient and control groups.
- Non-HDL-C demonstrated a significantly higher area under the receiver operating characteristic (AUROC) curve, indicating superior predictive value.
- Non-HDL-C showed significant differences in predictive value across triglyceride subgroups, unlike Friedwald-calculated LDL-C.
Conclusions:
- Non-HDL-C is a more specific and sensitive parameter for CAD risk assessment than Friedwald-calculated LDL-C.
- Non-HDL-C can be accurately measured in a non-fasting state, enhancing patient convenience.
- Routine incorporation of non-HDL-C into lipid profiles is strongly recommended for improved CAD risk evaluation.
Objective:
The present study aimed to establish a better marker for the assessment of coronary artery disease (CAD).
Methods:
One hundred patients of CAD (aged 20-60 years) of both sex and patients of hypertension with symptoms of CAD were selected for the study.50 age and sex matched healthy controls were chosen for the present study. Serum total cholesterol, triglycerides and HDL-C were estimated in Simens Dimensions RxL. LDL-C, VLDL-C were calculated by Friedwald Formula while non-HDL-C was calculated by subtracting HDL-C level from total cholesterol level. The comparison of non-HDL-C and friedwald calculated LDL-C was made in terms of independent't' test, serum TG levels (TG ≤ 200 mg/dl and TG > 200 mg/dl) and area under receiver operating characteristic (AUROC) curve.
Results & Conclusion:
The non-HDL-C levels (mean ± S.D) were higher in both test and control groups to that of the levels of friedwald calculated LDL-C. The area under receiver operating characteristic (AUROC) curve was significantly higher for non-HDL-C than for friedwald calculated LDL-C. The predictive value of non-HDL-C and friedwald calculated LDL-C were also compared in group A (serum TG ≤ 200 mg/dl) and group B (serum TG > 200 mg/dl). Non-HDL-C levels showed a significant difference in both the groups while the results were non-significant to that of friedwald calculated LDL. Thus, non-HDL-C is much specific and sensitive parameter for assessment of CAD risk. Moreover, non-HDL-C levels can also be done in non-fasting state with accuracy, thereby, it is patient friendly parameter. Therefore, the authors strongly suggest the incorporation of non-HDL-C in routine lipid profile panel.