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Comparing calculated LDL-C with directly measured LDL-C in healthy and in dyslipidemic children
Anastasia Garoufi1, Antonis Drakatos2, Charalampos Tsentidis3
1Second Department of Pediatrics, National and Kapodistrian University of Athens, Medical School, "P & A Kyriakou" Children's Hospital, Athens, Attica, Greece.
Insights
Friedewald formula (FF) is more accurate for screening, while Anandaraja's formula (AF) is better for evaluating dyslipidemic children's LDL-C levels. Both formulas show high correlation but can misclassify actual LDL-C, impacting treatment decisions.
Area of Science:
- Pediatric Endocrinology
- Clinical Chemistry
- Cardiovascular Disease Risk Assessment
Background:
- Low-density lipoprotein cholesterol (LDL-C) is a key marker for atherosclerosis in children.
- Therapeutic decisions for pediatric dyslipidemia rely on accurate LDL-C measurements.
- Calculated LDL-C (cLDL-C) using Friedewald formula (FF) or Anandaraja's formula (AF) may deviate from directly measured LDL-C (dLDL-C).
Purpose of the Study:
- To compare the accuracy of cLDL-C derived from FF and AF against dLDL-C in pediatric populations.
- To evaluate the utility of these formulas in screening and managing dyslipidemic children.
- To assess potential misclassification rates of LDL-C levels using calculated methods.
Main Methods:
- A cohort of 1005 children aged 2-18 years was studied, divided into a general check-up group (A, n=688) and a dyslipidemic group (B, n=317).
- Fasting serum lipid profiles were obtained.
- LDL-C was measured directly (dLDL-C) using a homogenous assay and calculated (cLDL-C) using FF and AF.
Main Results:
- Both FF and AF demonstrated high correlation with dLDL-C.
- FF underestimated dLDL-C in 75.6% (group A) and 77.3% (group B), with significant mean differences in group B.
- AF overestimated dLDL-C, showing significant mean differences in group A and leading to potential misclassification in dyslipidemic children.
Conclusions:
- FF is a more accurate screening tool for LDL-C in children compared to AF.
- AF is more suitable for the evaluation and follow-up of dyslipidemic children.
- Both calculated methods carry a risk of misclassifying LDL-C levels, potentially affecting clinical management.
Background:
LDL-C is one of the strongest markers for atherosclerosis and therapeutic decisions in children are based on its levels. Friedewald formula (FF) which is usually used for the calculation of LDL-C (cLDL-C); and Anandaraja's formula (AF) may under- or overestimate actual levels.
Objective:
To compare cLDL-C with directly measured LDL-C (dLDL-C) as a screening tool and to evaluate dyslipidemic children.
Methods:
The study population consisted of 1005 children, 2-18years, 688 of whom underwent lipid screening in a regular check-up (group A); and 317 were dyslipidemic (LDL-C ≥130mg/dl) (group B). A fasting serum lipid profile was assessed. LDL-C was measured using a homogenous assay and was calculated using FF and AF.
Results:
Each method of calculating LDL-C was highly correlated to dLDL-C. Using FF, cLDL-C was lower than dLDL-C in 75.6% (group A) and in 77.3% (group B) of children; the mean difference was significant in dyslipidemic group. Moreover, in group B, 25% of children with boundary high and 12% with high dLDL-C would be misclassified. Using AF, LDL-C was higher than dLDL-C; the mean difference was significant in group A. Based on cLDL-C, 52% of group A with borderline dLDL-C and 27.5% of group B children with boundary high dLDL-C would be considered as dyslipidemic and eligible for medication respectively.
Conclusions:
Comparing two methods of calculated LDL-C with directly measured LDL-C. FF was more accurate as a screening tool while AF was more accurate in the evaluation and follow-up of the dyslipidemic group.
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