Comparability of 11 different equations for estimating LDL cholesterol on different analysers
| Autor: | Tahir S Pillay, Susanna E. Nagel, Helgard M Rossouw |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Ldl cholesterol
Atherosclerotic cardiovascular disease business.industry Biochemistry (medical) Clinical Biochemistry Cholesterol HDL General Medicine Cholesterol LDL Atherosclerosis Total cholesterol Humans In patient Bland–Altman plot Nuclear medicine business Risk classification Triglycerides Mathematics Lipoprotein cholesterol |
| Zdroj: | Clinical chemistry and laboratory medicineReferences. 59(12) |
| ISSN: | 1437-4331 |
| Popis: | Objectives Low-density lipoprotein cholesterol (LDL-C) estimation is critical for risk classification, prevention and treatment of atherosclerotic cardiovascular disease (ASCVD). Predictive equations and direct LDL-C are used. We investigated the comparability between the Martin/Hopkins, Sampson, Friedewald and eight other predictive equations on two analysers, to determine whether the equation or analyser influences predicted LDL-C result. Methods In two unpaired datasets, 9,995 lipid profiles were analysed by the Abbott Architect and 4,782 by the Roche Cobas analysers. Non-parametric statistics and Bland Altman plots were used to compare LDL-C. Results On the Abbott analyser; the Martin/Hopkins, Sampson and Friedewald LDL-C were comparable (median bias ≤1.8%) over a range of 1–4.9 mmol/L. On the Roche platform, Martin/Hopkins LDL-C was comparable to Friedewald (median bias 0.3%) but not to Sampson LDL-C (median bias 25%). In patients with LDL-C Conclusions Performance of predictive equations is influenced by the choice of analyser for total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and TG. Replacement of the Friedewald equation with Martin/Hopkins estimation to improve quality of LDL-C results can be safely implemented across analysers, whereas caution is advised regarding the Sampson equation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|