Comparison of two homogeneous HDL cholesterol methods in a large population study

Anchalee Chittamma, William L. Roberts, Piyamitr Sritara, Sayan Cheepudomwit, Paibul Suriyawongpaisal, Porntip H. Lolekha

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Objectives: High-density lipoprotein cholesterol (HDL-C) is an independent risk factor for coronary heart disease. Data are lacking on the performance of homogeneous methods using a large number of samples. Design and methods: We compared the performance of two HDL-C direct assays, the Dimension RxL (the Dade method) and the COBAS INTEGRA (the Roche method), for population screening. Performance was assessed using 4214 sera obtained from the International Collaborative Study on Atherosclerosis and Stroke In Asia (InterASIA) participants. Results: The method comparison results demonstrated that both methods were highly correlated (r = 0.972). Deming regression analysis showed a slope of 1.009 ± 0.007, an intercept of 0.048 ± 0.009 and a S y/x of 0.08. The means were 1.29 ± 0.33 and 1.23 ± 0.33 mmol/l for the Roche and Dade methods, respectively, and the range of observed values were 0.30-3.05 and 0.19-2.86 mmol/l, respectively. The 95% confidence interval for the mean of the method differences was -0.10 to 0.22 mmol/l. Percentages of low (≥1.55 mmol/l), normal (1.03-1.54 mmol/l), and high risk (
Original languageEnglish (US)
Pages (from-to)745-749
Number of pages5
JournalClinical Biochemistry
Volume37
Issue number9
DOIs
StatePublished - Sep 1 2004
Externally publishedYes

ASJC Scopus subject areas

  • Clinical Biochemistry

Fingerprint

Dive into the research topics of 'Comparison of two homogeneous HDL cholesterol methods in a large population study'. Together they form a unique fingerprint.

Cite this