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Comparison of two homogeneous HDL cholesterol methods in a large population study
Anchalee Chittamma1, William L Roberts, Piyamitr Sritara
1Division of Clinical Chemistry, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Clinical Biochemistry
|August 27, 2004
Summary
Two homogeneous high-density lipoprotein cholesterol (HDL-C) assays showed strong correlation and agreement, making them suitable for large population screening. Both methods accurately classify individuals by cardiovascular risk.
Area of Science:
- Clinical Chemistry
- Cardiovascular Disease Biomarkers
- Epidemiology
Background:
- High-density lipoprotein cholesterol (HDL-C) is a key independent risk factor for coronary heart disease.
- Limited data exist on the performance of homogeneous HDL-C assays in large-scale population studies.
Purpose of the Study:
- To compare the performance of two direct homogeneous HDL-C assays: the Dade method (Dimension RxL) and the Roche method (COBAS INTEGRA).
- To evaluate their suitability for population screening using a large sample size.
Main Methods:
- Performance comparison of two HDL-C direct assays using 4214 sera from the InterASIA study.
- Statistical analysis included correlation, Deming regression, and assessment of risk classification agreement.
Main Results:
- Both methods demonstrated high correlation (r=0.972) and good agreement.
- Deming regression showed minimal bias (slope=1.009, intercept=0.048).
- High concordance in risk classification was observed (77.1% to 95.5% at different cutoffs), with 85.4% overall consistency.
Conclusions:
- Both homogeneous HDL-C methods are well-correlated and agree closely.
- High percentages of concordant risk classification support their utility.
- Either method is suitable for large population studies assessing cardiovascular risk.