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Evaluation of low-density lipoprotein cholesterol equations by cross-platform assessment of accuracy-based EQA data against SI-traceable reference value by Hwee Tong Tan; Sharon Yong; Hong Liu; Qinde Liu; Tang Lin Teo; Sunil Kumar Sethi is a Medicine article available to read on EtoBox.
What is Evaluation of low-density lipoprotein cholesterol equations by cross-platform assessment of accuracy-based EQA data against SI-traceable reference value about?
Objectives: Low-density lipoprotein cholesterol (LDLC) is the primary cholesterol target for the diagnosis and treatment of cardiovascular disease (CVD). Although betaquantitation (BQ) is the gold standard to determine LDLC levels accurately, many clinical laboratories apply the Friedewald equation to calculate LDLC. As LDLC is an important risk factor for CVD, we evaluated the accuracy of Friedewald and alternative equations (Martin/Hopkins and Sampson) for LDLC. Methods: We calculated LDLC based on three equations (Friedewald, Martin/Hopkins and Sampson) using the total cholesterol (TC), triglycerides (TG), and high-density lipoprotein cholesterol (HDLC) in commutable serum samples measured by clinical laboratories participating in the Health Sciences Authority (HSA) external quality assessment (EQA) programme over a 5 years period (number of datasets, n=345). LDLC calculated from the equations were comparatively evaluated against the reference values, determined from BQ-isotope dilution mass spectrometry (IDMS) with traceability to the International System of Units (SI). Results: Among the three equations, Martin/Hopkins equation derived LDLC had the best linearity against direc
Who reads Evaluation of low-density lipoprotein cholesterol equations by cross-platform assessment of accuracy-based EQA data against SI-traceable reference value?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Hwee Tong Tan; Sharon Yong; Hong Liu; Qinde Liu; Tang Lin Teo; Sunil Kumar Sethi
- Publisher
- Walter de Gruyter GmbH
- Published
- 2023
- Language
- EN
- Field
- Medicine (Health Sciences)
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