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Assessing the Accuracy of LDL-Cholesterol Estimation Formulas in the Tunisian Population
Oumayma Zarrouk1, Hamza Elfekih1, Sawssen Mrad2
1University of sousse, Faculty of Medicine of sousse, Hospital of Farhat Hached, Service of Endocrinology-Diabetology, 4000, Sousse, Tunisia.
Calculating low-density lipoprotein cholesterol (LDL-C) using formulas like Friedewald, Sampson, and Martin/Hopkins is a practical and cost-effective alternative to direct measurement for Tunisian patients. These formulas show acceptable accuracy, supporting their use in routine clinical practice for managing cardiovascular disease risk.
Area of Science:
- Cardiology
- Clinical Chemistry
- Public Health
Background:
- International guidelines emphasize LDL-C measurement for cardiovascular risk assessment and patient monitoring.
- Direct LDL-C measurement is complex and costly in clinical practice.
- Formula-based LDL-C estimation offers a simpler, more economical alternative.
Purpose of the Study:
- To evaluate the accuracy of Friedewald, Sampson, and Martin/Hopkins LDL-C estimation formulas.
- Comparison was made against direct LDL-C measurement in Tunisian patients.
Main Methods:
- A cross-sectional study included 148 Tunisian patients from Farhat Hached University Hospital.
- Clinical data, metabolic parameters, and lipid profiles, including direct LDL-C, were analyzed.
- LDL-C was estimated using Friedewald, Martin/Hopkins, and Sampson formulas.
Main Results:
- All three formulas showed comparable fasting correlation with measured LDL-C (r=0.52-0.55).
- One hour postprandial, strong correlations (r > 0.7) were observed for all formulas.
- Two hours postprandial, moderate correlations were found between estimated and measured LDL-C.
Conclusions:
- Friedewald, Sampson, and Martin/Hopkins formulas demonstrated acceptable accuracy for LDL-C estimation in Tunisian patients.
- Formula-based LDL-C estimation is a practical and cost-effective approach for routine clinical practice.
- These findings support the widespread use of LDL-C estimation formulas for cardiovascular risk management.
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